Inverse Problems: Miscellaneous
This data is directly copied from the old University websites and is yet to be properly organized and edited.
Members
- Professor
- Academy research fellow
- Postdoctoral researcher Henri Hänninen
- Postdoctoral researcher Keijo Mönkkönen
- Postdoctoral researcher Hjørdis Schlüter
- PhD student David Johansson
- PhD student Antti Kykkänen
- PhD student Janne Nurminen
- PhD student Antonio Pop Gorea
- Previous members
Research
Examples of research topics in the field are given on the research highlights webpage of the .
Recent publications
Recent publications of the group may be found on the TUTKA database and on the . The most up-to-date information is available on the members' personal web pages.
Selected publications
- J. Ilmavirta: Coherent quantum tomography.
SIAM Journal on Mathematical Analysis 48 (2016), no. 5, 3039–3064. - G. Paternain, M. Salo and G. Uhlmann: Spectral rigidity and invariant distributions on Anosov surfaces.
Journal of Differential Geometry 98 (2014), no. 1, 147-181. - G. Paternain, M. Salo and G. Uhlmann: Tensor tomography on surfaces.
Inventiones Mathematicae 193 (2013), no. 1, 229-247. - C. Kenig, M. Salo and G. Uhlmann: Inverse problems for the anisotropic Maxwell equations.
Duke Mathematical Journal 157 (2011), no. 2, 369-419. - D. Dos Santos Ferreira, C. Kenig, M. Salo and G. Uhlmann: Limiting Carleman weights and anisotropic inverse problems. Inventiones Mathematicae 178 (2009), no. 1, p. 119-171.
Links
The research leading to these results has received funding from the European Research Council under the European Union's Seventh Framework Programme / ERC grant agreement no 307023 and the Horizon 2020 research and innovation programme / ERC grant agreement no 770924.
In Spring 2018 the inverse problems reading group will meet on Tuesdays at 14-15 in room MaD245. We will go through recent research articles that are of interest to the audience. The idea is that each participant presents an article written by others than him/herself.
Schedule
30.1.
Mikko Salo: presentation of possible articles
6.2.
No reading group
13.2.
Mikko Salo: Calderón problem with disjoint data (following )
20.2.
Jere Lehtonen: X-ray transforms on AH manifolds (following )
27.2.
No reading group
6.3.
Jere Lehtonen: X-ray transforms on AH manifolds (following )
13.3.
Giovanni Covi: Calderón problem for L^p potentials in 2D (following )
20.3.
Leyter Potenciano: Stability in the Calderón problem with partial data (following )
27.3.
No reading group (Easter break)
3.4.
Tommi Brander (DTU): Calderón's problem for variable exponent p(x)-Laplacian in one dimension
10.4.
No reading group
17.4.
Joonas Ilmavirta: Invisibility, X-ray tomography, and boundary regularity
24.4.
Cristobal Meronno (UAM): Shape identification and corner scattering
1.5.
No reading group
8.5.
Tony Liimatainen: The Calderón problem on transversally anisotropic manifolds (following )
15.5.
Keijo Mönkkönen: Abel transforms with low regularity with applications to X-ray tomography (following )
Below are a few possible recent articles listed by topic (other papers can certainly be included).
Calderón type problems in R^n
Full data: , . Partial data: , , . Two-dimensional case: , , . Fractional equations: see references in . . .
Geometric inverse problems
Calderón type problems: ,, , , . Hyperbolic problems: , , . Boundary rigidity: , , . X-ray transforms: ,, , , .
Inverse scattering problems
, , , .
Current events
(12-14 December, Oulu)
(4-5 January 2018, Joensuu)
Reading group fall 2017
The reading group will discuss microlocal analysis and its applications. References for the basic theory (roughly in ascending order of difficulty):
- J. Wunsch:
- M. Wong: An introduction to pseudo-differential operators
- X. Saint-Raymond: Elementary introduction to the theory of pseudodifferential operators
- N. Lerner:
- G. Eskin: Lectures on linear partial differential equations
- A. Grigis, J. Sjöstrand: Microlocal analysis for differential operators - an introduction
- M. Shubin: Pseudodifferential operators and spectral theory
- M. Taylor: Partial differential equations, vol. II
- L. Hörmander: The analysis of linear partial differential operators, vol. III
References for the applications:
- DN map as a pseudodifferential operator: the flat case, (CPAM 1989),
(Please note that the notes below are not in final form and may be somewhat rough.)
26.09. Introduction to microlocal analysis (Mikko Salo)
10.10. Pseudodifferential symbols (Jesse Railo)
24.10. Pseudodifferential operators (Jere Lehtonen)
31.10. Elliptic pseudodifferential operators (Valter Pohjola)
07.11. The Dirichlet-to-Neumann map as a pseudodifferential operator (Tony Liimatainen)
14.11. The normal operator of the geodesic X-ray transform (Joonas Ilmavirta): and rough notes
21.11. L^2 boundedness of pseudodifferential operators (Giovanni Covi)
Reading group 2016-2017
(Please note that the notes below are not in final form and may be somewhat rough.)
10.10. Geodesic flows, notes 1: symplectic geometry
17.10. Geodesic flows, notes 2: geodesic flow as Hamilton flow
31.10. Geodesic flows, notes 3: symplectic and volume-preserving maps
07.11. Geodesic flows, notes 4: the Sasaki metric
14.11. Geodesic flows, notes 5: symplectic isoperimetric inequalities
21.11. Geodesic flows, notes 6: the Sasaki metric in local coordinates
06.02. Geodesic flows, notes 7: recap
13.02. Geodesic flows, notes 8: derivatives on the unit sphere bundle
20.02. Geodesic flows, notes 9: commutator formulas
06.03. Fractional Calderón problem, notes 1: motivation (slides from a colloquium talk)
14.03. Fractional Calderón problem, notes 2: introduction (slides from a seminar talk)
03.04. (section 2 of the paper in the link)
10.04. (section 2 of the paper in the link)
18.04. (section 2 of the paper in the link)
02.05. (section 2 of the paper in the link)
Geodesic flows: notes 1
Geodesic flows, notes 1: symplectic geometry
Our first topic is to understand geodesics, first defined as curves \(\gamma(t)\), in terms of a Hamilton flow in the cotangent bundle. Hamilton flows belong to the realm of symplectic geometry. This is an area of mathematics which comes up in a variety of contexts, such as:
1. Historically, symplectic geometry arose from the study of classical mechanics. Consider the \(N\)-body problem, where \(N\) celestial objects (planets, stars etc) interact with each other gravitationally. If the objects have mass \(m_i\), position \(q_i(t) \in \mathbb{R}^3\), and momentum (or velocity) \(p_i(t) = \dot{q}_i(t) \in \mathbb{R}^3\), by Newton's laws one has the equations \( m_i \ddot{q}_i(t) = \sum_{j \neq i} \frac{G m_i m_j}{|q_i - q_j|^2}\) where \(G\) is the gravitational constant. These can be rewritten as the Hamilton equations \begin{align*} \dot{q}(t) &= \nabla_p H(q(t),p(t)), \\ \dot{p}(t) &= -\nabla_q H(q(t),p(t)) \end{align*} where \(H\) is the Hamilton function \(H = T + U\), with \(T\) the kinetic energy and \(U\) the self-potential energy (source: Wikipedia). The underlying symplectic structure makes it possible to consider these equations in many different (symplectic) coordinate systems, while still retaining the basic properties.
2. The geodesic flow on a Riemannian manifold \((M,g)\) can be understood as a Hamilton flow on the cotangent space \(T^* M\). This explains the facts that geodesics have constant speed, that geodesic flow preserves volume, and that the geodesic vector field on \(SM\) is divergence free and formally skew-adjoint.
3. If \(A(x,D)\) is a linear differential operator in an open set \(\Omega \subset \mathbb{R}^n\), so \(A(x,D) u = \sum_{|\alpha| \leq m} a_{\alpha}(x) D^{\alpha} u\) where \(a_{\alpha} \in C^{\infty}(\Omega)\), the principal symbol of \(A(x,D)\) is
\begin{align*} a(x,\xi) = \sum_{|\alpha| = m} a_{\alpha}(x) \xi^{\alpha}, \qquad (x,\xi) \in \Omega \times \mathbb{R}^n. \end{align*}
It turns out that under a change of coordinates, the principal symbol of \(A\) transforms like an invariant function on the cotangent bundle \(T^* \Omega\). Moreover, if \(A\) and \(B\) are two differential operators, their commutator \([A,B] = AB - BA\) has principal symbol \(\{a,b\}\) where \(\{\,\cdot\,, \,\cdot\,\}\) is the Poisson bracket on \(T^* \Omega\): \begin{align*} \{ a, b \}(x,\xi) = \nabla_{\xi} a \cdot \nabla_x b - \nabla_x a \cdot \nabla_{\xi} b. \end{align*} These basic facts indicate that symplectic geometry has a fundamental role in the study of linear partial differential equations.
4. The billiard map in the context of the broken geodesic ray transform preserves the related symplectic structure and hence volumes.
Symplectic manifolds
We proceed to explain some basic ideas in the setting of a general \(2n\)-dimensional symplectic manifold.
Definition. A symplectic manifold is a pair \((N, \sigma)\) where \(N\) is an \(2n\)-dimensional smooth manifold, and \(\sigma\) is symplectic form, that is, a closed \(2\)-form on \(N\) which is nondegenerate in the sense that for any \(\rho \in N\), the map \(I_{\rho}: T_{\rho} N \to T^*_{\rho} N, I_{\rho}(s) = \sigma(s, \,\cdot\,)\) is bijective.
Example 1. The space \(\mathbb{R}^{2n}\) has a standard symplectic structure given by the \(2\)-form \(\sigma = dx_1 \wedge \,dx_{n+1} + \ldots + dx_n \wedge \,dx_{2n}\).
Example 2. More generally, if \(M\) is an \(n\)-dimensional \(C^{\infty}\) manifold, then \(N = T^* M\) becomes a symplectic manifold as follows: if \(\pi: T^* M \to M\) is the natural projection, there is a \(1\)-form \(\lambda\) on \(N\) (called the Liouville form) defined by \(\lambda_{\rho} = \pi^* \rho, \rho \in T^* M\). Then \(\sigma = d\lambda\) is a closed \(2\)-form. If \(x\) are local coordinates on \(M\), and if \((x,\xi)\) are associated local coordinates (called canonical coordinates) on \(T^* M\), then in these local coordinates \begin{align*} \lambda &= \xi_j \,dx^j, \\ \sigma &= d\xi_j \wedge \,dx^j. \end{align*} It follows that \(\sigma\) is nondegenerate and hence a symplectic form.
It is a theorem of Darboux that if \((N,\sigma)\) is a symplectic manifold, then near any point of \(N\) there are local coordinates \((x,\xi)\) so that \(\sigma = d\xi_j \wedge \,dx^j\) in these coordinates. Hence every symplectic manifold is locally symplectically equivalent to \(\mathbb{R}^{2n}\), and all obstructions to having a symplectic structure are global in nature: for instance if \(N\) is a closed manifold having a symplectic form \(\sigma\), then the de Rham cohomology groups \(H^2(N)\) and \(H^{2n}(N)\) are nontrivial (this follows since the \(n\)-fold wedge product of \(\sigma\) is non vanishing, more about this later).
Hamilton flows
Definition. Let \((N,\sigma)\) be a symplectic manifold. Given any function \(f \in C^{\infty}(N)\), the Hamilton vector field of \(f\) is the vector field \(H_f\) on \(N\) defined by \[ H_f = I^{-1}(df) \] where \(df\) is the exterior derivative of \(f\) (a \(1\)-form on \(N\)), and \(I\) is the isomorphism \(TN \to T^* N\) given by the nondegenerate \(2\)-form \(\sigma\).
Example 1. Let \(M\) be an \(n\)-manifold, and let \(\sigma\) be the standard symplectic form on \(T^* M\). If \((x,\xi)\) are canonical local coordinates, then (using that \(\alpha \wedge \beta(v, w) = \alpha(v) \beta(w) - \alpha(w) \beta(v)\) for \(1\)-forms \(\alpha, \beta\)) \[ I_{x,\xi}(s^j \partial_{x_j} + t^j \partial_{\xi_j})(\tilde{s}^j \partial_{x_j} + \tilde{t}^j \partial_{\xi_j}) = (d\xi_i \wedge \,dx^i)(s^j \partial_{x_j} + t^j \partial_{\xi_j}, \tilde{s}^k \partial_{x_k} + \tilde{t}^k \partial_{\xi_k}) = \sum_{i=1}^n (t^i \tilde{s}^i - s^i \tilde{t}^i) \] which gives that \begin{align*} I(s^j \partial_{x_j} + t^j \partial_{\xi_j}) &= t^j \,dx_j - s^j \,d\xi_j \\ H_f &= \partial_{\xi_j} f \partial_{x_j} - \partial_{x_j} f \partial_{\xi_j}. \end{align*}
Example 2. In particular, in \( \mathbb{R}^{2n} \) one has \(I(s,t)=(t,-s)\), \(s, t \in \mathbb{R}^n\), and \[ H_f = \nabla_{\xi} f \cdot \nabla_x - \nabla_x f \cdot \nabla_{\xi}. \]
Definition. Let \((N,\sigma)\) be a symplectic manifold, and let \(f \in C^{\infty}(N)\). Denote by \(\varphi_t\) the flow on \(N\) induced by \(H_f\), that is, \[ \varphi_t: \rho(0) \mapsto \rho(t) \text{ where } \dot{\rho}(t) = H_f(\rho(t)). \]
We will later see that any Hamilton flow map is symplectic (\((\varphi_t)^* \sigma = \sigma\)) and consequently volume-preserving.
Geodesic flows, notes 2: geodesic flow as Hamilton flow
There are at least two ways to view the (co-)geodesic flow on a Riemannian manifold as a Hamilton flow.
Method 1: direct computation. Let \((M,g)\) be a Riemannian manifold, and recall the geodesic equation for a curve \(x(t)\), \[ \ddot{x}^l(t) + \Gamma_{jk}^l(x(t)) \dot{x}^j(t) \dot{x}^k(t) = 0. \] Consider the Hamilton function \[ f: T^* M \to \mathbb{R}, \ \ f(x,\xi) = \frac{1}{2} |\xi|_g^2 = \frac{1}{2} g^{jk}(x) \xi_j \xi_k. \] In canonical local coordinates \((x,\xi)\) on \(T^* M\), the Hamilton equations are given by \begin{align*} \dot{x}(t) &= \nabla_{\xi} f(x(t),\xi(t)), \\ \dot{\xi}(t) &= -\nabla_x f(x(t), \xi(t)). \end{align*} For \(f\) given above, this reduces to \begin{align*} \dot{x}^l &= g^{lk} \xi_k, \\ \dot{\xi}_k &= -\frac{1}{2} \frac{\partial g^{ij}}{\partial x_k} \xi_i \xi_j. \end{align*} Using that \( g_{jk} g^{kl} = \delta_j^l\), we have \( g_{jk} \partial_{x_m} g^{kl} = - g^{kl} \partial_{x_m} g_{jk} \) and multiplying by \(g^{ij}\) gives \( \partial_{x_m} g^{il} = - g^{ij} g^{kl} \partial_{x_m} g_{jk} \). Using that \(\xi_k = g_{km} \dot{x}^m\), the Hamilton equations are equivalent with \begin{align*} \dot{x}^l &= g^{lk} \xi_k, \\ \dot{\xi}_k &= \frac{1}{2} \partial_{x_k} g_{pq} \dot{x}^p \dot{x}^q. \end{align*}If \((x(t),\xi(t))\) satisfy the Hamilton equations, then \(x(t)\) satisfies the geodesic equation: \begin{align*} \ddot{x}^l = g^{lm} \dot{\xi}_m + \partial_p g^{lk} \dot{x}^p \xi_k = \frac{1}{2} g^{lm} \left[ \partial_m g_{pq} - 2 \partial_p g_{mq} \right] \dot{x}^p \dot{x}^q = -\Gamma_{pq}^l \dot{x}^p \dot{x}^q. \end{align*} Conversely, if \(x(t)\) solves the geodesic equation and if \(\xi_k(t) = g_{kl}(x(t)) \dot{x}^l(t)\), a similar computation shows that \((x(t),\xi(t))\) solves the Hamilton system with Hamilton function \(f(x,\xi) = \frac{1}{2} g^{jk}(x) \xi_j \xi_k\).
Method 2: Lagrangian/Hamiltonian formalism. Geodesics \(x(t)\) minimize length at least locally, and thus they are obtained as stationary points of the action integral \( I(x) = \int_a^b L(x(t), \dot{x(t)}) \,dt \) where \(L(x,v) = g_{jk}(x) v^j v^k \) is the Lagrangian function (arc length). Equivalently, one could take the kinetic energy \( T(x,v) = \frac{1}{2} g_{jk}(x) v^j v^k\) as the Lagrangian. The geodesic equation is the Euler-Lagrange equation of the action integral. There is a general procedure for converting such Euler-Lagrange equations into an equivalent Hamilton system where the Hamilton function \(E\) is the Legende transform of \(T\), \[ E(x,\xi) = \xi(v) - T(x,v) \] where \(v^j = g^{jk} \xi_k\). For geodesics, if \( T(x,v) = \frac{1}{2} g_{jk}(x) v^j v^k\), the Legendre transform is exactly \(E(x,\xi) = \frac{1}{2} g^{jk}(x) \xi_j \xi_k\). See M.E. Taylor, Partial differential equations vol. 1, section 1.12.
Notes 3:
\(\newcommand{\qed}{\square}\)
Let \((N,\sigma)\) be a symplectic manifold, let \(f \in C^{\infty}(N)\), and let \(H_f\) be the Hamilton vector field related to \(f\) defined by \[ \sigma(H_f, Y) = df(Y) \] or equivalently by the formula \( i_{H_f} \sigma = df \) where \(i_X\) is the interior product by a vector field \(X\), so \(i_X\) takes \(k\)-forms to \((k-1)\)-forms.
Recall the Hamilton flow \[ \varphi_t: N \to N, \rho(0) \mapsto \rho(t) \] where \(\rho(t)\) is a curve in \(N\) satisfying \(\dot{\rho}(t) = H_f(\rho(t))\). (Of course \(\varphi_t\) may only be defined in a subset of \(N\), but we will ignore this point.)
Recall that the Lie derivative is defined by \( \mathcal{L}_X \omega = \frac{d}{dt} \varphi_t^* \omega \Big|_{t=0}\) where \(\varphi_t\) is the flow of \(X\).
Lemma. \(\mathcal{L}_{X} \omega = 0\) if and only if \( \varphi_t^* \sigma = \sigma\).
Proof. If \( \varphi_t^* \sigma = \sigma\), then clearly \(\mathcal{L}_{X} \omega = 0\). Conversely, if \(\mathcal{L}_{X} \omega = 0\), it is enough to show that \(\varphi_t^* \omega\) is constant in \(t\) (this uses that \(\varphi_0^* \omega = \omega\)). Now, for any \(s\), one has \( \varphi_{t+s} = \varphi_t \circ \varphi_s \), and thus \[ \frac{d}{dt} \varphi_t^* \omega \Big|_{t=s} = \frac{d}{dt} \varphi_t^* (\varphi_s^* \omega) \Big|_{t=0} = \mathcal{L}_X (\varphi_s^* \omega). \] Now it follows from the definition of Lie derivative that \(\mathcal{L}_X (\varphi_s^* \omega)\) = \varphi_s^* (\mathcal{L}_X \omega)\), which vanishes by assumption. \(\qed\)
Theorem. \(\varphi_t\) is a symplectic map, that is, \(\varphi_t^* \sigma = \sigma\).
Proof. Using Cartan's magic formula, \[ \mathcal{L}_{H_f} \sigma = d(i_{H_f} \sigma) + i_{H_f}(d\sigma) = d(d\sigma) + i_{H_f}(d\sigma) = 0 \] since \(d^2 = 0\) and since \(\sigma\) is closed. \(\qed\)
Definition. If \((N,\sigma)\) is a symplectic manifold, the \(n\)-form \(\sigma^n = \sigma \wedge \ldots \wedge \sigma\) (\(n\) times) is called the (Liouville/symplectic) volume form of \((N,\sigma)\).
Clearly \(\sigma^n\) is a \(2n\)-form. It is also nonvanishing at any point, which follows from a routine calculation using the fact that \(\sigma\) is nondegenerate.
Theorem. (Hamilton flow preserves volume) \(\varphi_t^* (\sigma^n) = \sigma^n.\)
The previous theorem follows from the fact that \(\varphi_t^* \sigma = \sigma \), and from the basic differential geometry fact that \(F^*(\omega_1 \wedge \ldots \wedge \omega_n) = (F^* \omega_1) \wedge \ldots \wedge (F^* \omega_n)\). More generally, we say that a smooth map \(F: N \to N\) is symplectic if \(F^* \sigma = \sigma\), and it follows that any symplectic map preserves volumes. In particular, one has the inclusions \[ \{ \text{Hamilton flow maps} \} \subset \{ \text{symplectic maps} \} \subset \{ \text{volume-preserving maps} \}. \]
Let \(f \in C^{\infty}(N)\) as above, and let \(S\) be a level set of \(f\). Let \(X\) be any vector field on \(N\) which satisfies \(Xf|_S = 1\). Define \[ \sigma_S = j^* (i_X (\sigma^n)) \] where \(j: S \to N\) is the natural inclusion.
Example. Let \(N = T^* M\) with canonical symplectic form \(\sigma\). Let \(f(x,\xi) = \frac{1}{2} g^{jk}(x) \xi_j \xi_k\) be the Hamilton function which generates geodesic flow. The level set \(S = \{ f = 1/2 \}\) is just the unit cosphere bundle \(S^* M\).
Lemma. \(\sigma_S\) is independent of the choice of \(X\) (as long as \(Xf|_S = 1\)).
Proof. One has \(\sigma_S - \tilde{\sigma}_S = j^*( i_{X_1 - X_2} \sigma^n )\), where \((X_1-X_2)f = 0\) so \(X_1-X_2\) is tangent to \(S\). \(\qed\)
Note that the Hamilton flow maps satisfy \(\varphi_t: S \to S\), since the Hamilton function \(f\) is constant along its Hamilton flow. The maps \(\varphi_t\) also preserve the volume form of \(S\):
Lemma. \(\varphi_t^* (\sigma_S) = \sigma_S\).
Proof. TBD.
Geodesic flows, notes 4: the Sasaki metric
Largely based on Gabriel Paternain's book "Geodesic Flows".
Vertical and horizontal bundles
Let $\pi\colon TM\to M$ be the canonical projection. $ \newcommand{\vali}{(-\varepsilon,\varepsilon)} \newcommand{\id}{\operatorname{id}} \newcommand{\im}{\operatorname{im}} \newcommand{\Der}[1]{\frac{d}{d#1}} \newcommand{\Sa}{{\text{Sasaki}}} \newcommand{\ip}[2]{\left\langle#1,#2\right\rangle} \newcommand{\R}{{\mathbb R}} $
Definition. The vertical subbundle of $TTM$ is defined so that the fiber $V(\theta)$ at $\theta=(x,v)\in TM$ is the kernel of the differential of the projection. That is, $$V(\theta)=\ker(d_\theta\pi).$$ In other words, the vertical subbundle is given by tangents of curves $\sigma\colon\vali\to TM$ of the form $\sigma(t)=(x,v+tw)$ for $w\in T_xM$.
Definition. We define a connection map $K\colon TTM\to TM$ as follows. Let $\xi\in T_\theta TM$ and let $\sigma\colon\vali\to TM$ be a curve starting at $\theta$ in direction $\xi$. We write $\sigma(t)=(\alpha(t),Z(t))$, so that $\alpha$ is a curve on $M$ and $Z$ a vector field along it. We define $$K_\theta\xi=(\nabla_\alpha Z)(0).$$ Roughly, $K_\theta\xi$ is the covariant derivative of the second component of $\xi$ in the direction of the first component.
Definition. The horizontal bundle is given by the fibers $H(\theta)=\ker(K_\theta)$.
Discussion. Elements of $TTM$ describe directions of motion on $TM$. The vertical bundle corresponds to "vertical motion", motion only in the fiber, keeping the base fixed. The horizontal bundle corresponds to "horizontal motion", motion only in the base, keeping the tangent vector fixed. The vertical bundle is natural on a differentiable manifold. However, the horizontal bundle is based on a Riemannian metric; the meaning of "constant tangent vector" requires a connection.
Once we know that the dimensions of the fibers $V(\theta)$ and $H(\theta)$ are constant, we have really produced two subbundles of $TTM$.
Lifts and relations
We introduce a lift and use it to find relations between the horizontal and vertical bundle.
Definition. We define a horizontal lift $L_\theta\colon T_xM\to T_\theta TM$ as follows. Let $w\in T_xM$, and let $\alpha\colon\vali\to M$ be such that $\dot\alpha(0)=w$. Let $Z(t)$ be the parallel transport of $v$ along $\alpha$. Define a curve $\sigma\colon\vali\to TM$ by $\sigma(t)=(\alpha(t),Z(t))$. We define $$L_\theta w=\dot\sigma(0)\in T_\theta TM.$$ Roughly, $L_\theta(w)=(w,$parallel transport of $v$ in direction of $w)$.
Lemma.
- $K_\theta\colon T_\theta TM\to T_xM$ and $L_\theta\colon T_xM\to T_\theta TM$ are well defined linear maps.
- $\ker(K_\theta)=\im(L_\theta)$.
- $d_\theta\pi\circ L_\theta=\id_{T_xM}$.
- $d_\theta\pi|_{H(\theta)}\colon H(\theta)\to T_xM$ is a linear isomorphism.
- $K_\theta|_{V(\theta)}\colon V(\theta)\to T_xM$ is a linear isomorphism.
Proof.
- Clear.
- Since $Z$ in the construction of $L_\theta$ was parallel, we have $\nabla_\alpha Z=0$. Thus $K_\theta\circ L_\theta=0$, which implies $\im(L_\theta)\subset\ker(K_\theta)$. For the other direction, let $\xi\in\ker(K_\theta)\subset T_\theta TM$. Let $\sigma\colon\vali\to TM$ be such that $\sigma(0)=\theta$, $\dot\sigma(0)=\xi$, and $\sigma(t)=(\alpha(t),Z(t))$. We can make changes to $Z$ as long as we leave its first order Taylor polynomial at $t=0$ intact. Since $\nabla_\alpha Z(0)=K_\theta\xi=0$, we change $Z$ so that $\nabla_\alpha Z(t)=0$ for all $t$. Now $Z$ is like in the definition of $L_\theta$, so $\xi=\dot\sigma(0)=L_\theta(\dot\alpha(0))\in\im(L_\theta)$.
- Let $\alpha$ and $\sigma$ be as in the definition of $L_\theta$. Recall that $\sigma(0)=\theta$. We have $$ d_\theta\pi(L_\theta w) = d_\theta\pi(\dot\sigma(0)) = \Der{t}\pi(\sigma(t))|_{t=0} = \Der{t}\alpha(t)|_{t=0} = w. $$
- It follows from the previous points that $L_\theta$ is a linear isomorphism $T_xM\to H(\theta)$. Therefore $d_\theta\pi|_{H(\theta)}$ is also a linear isomorphism.
- For any $w\in T_xM$, let $\sigma_w(t)=(x,v+tw)\in T_xM$. By definition, $V(\theta)=\{\dot\sigma_w(0);w\in T_xM\}$. Since the base is fixed along these curves, $\pi\circ\sigma_w(t)=x$ for all $t$ and $w$, the covariant derivative is just the usual derivative. Thus $$K_\theta(\dot\sigma_w(0))=\Der{t}(v+tw)|_{t=0}=w.\quad\square$$
Corollary. $T_\theta TM=H(\theta)\oplus V(\theta)$ and $j_\theta\colon T_\theta TM\to T_xM\times T_xM$, $j_\theta(\eta)=(d_\theta\pi\eta,K_\theta\eta)$, is a linear isomorphism.
Definition. We define an inner product on $T_\theta TM$ so that $H(\theta)\perp V(\theta)$ and the maps $d_\theta\pi$ and $K_\theta$ are isometries. This is the Sasaki metric.
Alternatively, we may define the Sasaki metric by the formula $$ \ip{\eta}{\xi}_\Sa = \ip{(d_\theta\pi)\eta}{(d_\theta\pi)\xi} + \ip{K_\theta\eta}{K_\theta\xi}. $$ It is also common to leave $j_\theta$ implicit, so that $\eta=j_\theta(\eta)=(\eta_h,\eta_v)$. In this notation $$ \ip{\eta}{\xi}_\Sa = \ip{\eta_h}{\xi_h} + \ip{\eta_v}{\xi_v}. $$
In this notation the geodesic vector field is particularly simple: $X(x,v)=(v,0)$. This means that all movement is on the base, not on the fiber. (Geodesics parallel transport their tangents, so tangent vectors are "constant".)
Symplectic structure
This section contains no proofs due to expected lack of time in the seminar.
On $T^*M$ we have the canonical symplectic form $\omega=dx^i\wedge dp_i$. The Riemannian metric gives a natural diffeomorphism $g\colon TM\to T^*M$. Its differential gives a diffeomorphism $dg\colon TTM\to TT^*M$. We can pull back the symplectic structure from $T^*M$ to $TM$ using the metric. We define a 2-form $\Omega$ on $TM$ so that $$ \Omega_\theta(\eta,\xi) = \omega(dg\eta,dg\xi) $$ for all $\eta,\xi\in T_\theta TM$. This can be expressed neatly with the Sasaki metric: $$ \Omega_\theta(\eta,\xi) = \ip{\eta_h}{\xi_v}-\ip{\xi_h}{\eta_v} = \ip{J\eta}{\xi}_\Sa , $$ where $J\eta=J(\eta_h,\eta_v)=(-\eta_v,\eta_h)$. This $J$ is clearly an isometry of of the Sasaki metric and $J^2=-\id$.
Using this symplectic structure and the Hamiltonian $H(x,v)=\frac12g_{ij}(x)v^iv^j$, the Hamiltonian vector field turns out to be exactly the geodesic vector field. The Hamilton flow is the geodesic flow. This implies that the symplectic form $\Omega$ is preserved. The volume form corresponding to $\Omega$ coincides with Sasaki volume, so it is preserved, too.
Splitting of TSM
Perhaps this section should be discussed later when we discuss operators on $SM$.
Let $\iota\colon SM\to TM$ be the inclusion. The pullback bundle $\iota^*TTM$ is a bundle over $SM$ with the same fibers as $TTM$. $TSM$ is a subbundle of $\iota^*TTM$. We have a splitting on the fibers of $\iota^*TTM$ to horizontal and vertical directions, and we want to use this to find a natural splitting of $TSM$.
Let $\theta\in SM$. Now $\iota^*TTM|_\theta=H(\theta)\oplus V(\theta)$. We can define $H'(\theta)\subset H(\theta)$ as $H'(\theta)=(X(\theta))^\perp$. (Recall that $X(\theta)\in H(\theta)$.) We can define $V'(\theta)\subset V(\theta)$ as $V'(\theta)=K_\theta^{-1}(v^\perp)$. Now $T_\theta SM=\R X\oplus H'(\theta)\oplus V'(\theta)$, where the splitting is orthogonal. This allows us to decompose the gradient of a function $u\in C^\infty(SM)$ in a way that will be useful for the analysis of ray transforms.
Geodesian flows, notes 5: symplectic isoperimetric inequalities
If \(\Omega \subset \mathbb{R}^n\) is a bounded open set with smooth boundary, the isoperimetric inequality states that \[ \mathrm{Vol}_n(\Omega)^{\frac{n-1}{n}} \leq \frac{1}{n \omega_n^{1/n}} \mathrm{Vol}_{n-1}(\partial \Omega) \] with equality iff \(\Omega\) is a ball (here \(\omega_n = \mathrm{Vol}_n(B_1)\)). This inequality is equivalent with the (Gagliardo-Nirenberg-)Sobolev inequality \(W^{1,1}(\mathbb{R}^n) \subset L^{\frac{n}{n-1}}(\mathbb{R}^n)\) with sharp constant, \[ \lVert u \rVert_{L^{\frac{n}{n-1}}} \leq \frac{1}{n \omega_n^{1/n}} \lVert \nabla u \rVert_{L^1}. \] (One direction follows by applying the Sobolev inequality to a smoothed version of \(\chi_{\Omega}\), and the other direction involves the coarea formula and writing the \(L^{\frac{n}{n-1}}\) norm of a function in terms of super-level sets, see e.g. .)
Isoperimetric inequalities have been studied in many different geometries besides \(\mathbb{R}^n\) (sphere, Gaussian measure, Riemannian, ...). We intend to discuss a rather different looking variant, called a symplectic isoperimetric inequality, based on (the notions that appear will not be explained at this time):
Theorem. One has \[ d(L)^{n/2} \leq c_n \mathrm{Vol}_n(L)\] where \(L\) is a (\(n\)-dimensional) Lagrangian manifold in \(\mathbb{R}^{2n}\) and \(d(L)\) is the so called displacement energy of \(L\).
(The displacement energy \(d\) is a "special capacity" on open subsets of a symplectic manifold and it satisfies \(d(A) > 0\) for nonempty open \(A \subset \mathbb{R}^{2n}\), \(d(A) \leq d(B)\) if \(A \subset B\), and \(d(F(A)) = d(A)\) if \(F\) is a symplectic diffeomorphism. See Hofer-Zehnder, Symplectic invariants and Hamiltonian dynamics.)
Why is such an inequality called isoperimetric? This is related to celebrated work of Gromov on symplectic geometry in the 1980s. In particular, Gromov proved that if \(L\) is any closed Lagrangian manifold in \(\mathbb{R}^{2n} = \mathbb{C}^n\), there is a holomorphic map \(f: \overline{\mathbb{D}} \to \mathbb{C}^n\) (where \(\mathbb{D}\) is the unit disc in \(\mathbb{C}\)) which maps \(\partial \mathbb{D}\) into \(L\). A subsequent result of Chekanov shows (presumably, I did not have access to the paper) that such a map can be chosen so that \[ \mathrm{Area}(f(\overline{\mathbb{D}})) \leq d_n \mathrm{Vol}_n(L)^{2/n}. \] If \(n=1\), any \(1\)-manifold \(L\) in \(\mathbb{R}^2\) is Lagrangian, and if \(L\) is a smooth curve bounding a simply connected domain, presumably this is a version of the standard isoperimetric inequality in \(\mathbb{R}^2\). This is related to the (vague) idea of symplectization introduced by Arnold, which means in particular that for a statement related to submanifolds of a smooth manifold, there should be an analogous symplectic statement phrased in terms of Lagrangian manifolds.
Let us work out a consequence of the symplectic isoperimetric inequality, which implies a version of the Aleksandrov-Bakelman-Pucci maximum principle. This is an important tool in the Krylov-Safonov estimates (De Giorgi-Nash-Moser for nondivergence form equations), and these are fundamental for the regularity theory of fully nonlinear elliptic PDE.
Theorem. (ABP) If \(\Omega \subset \mathbb{R}^n\) is a bounded smooth domain, and if \(u \in C^2(\Omega) \cap C(\overline{\Omega})\), then \[ \sup_{\Omega} u \leq \sup_{\partial \Omega} u + C \left[ \int_{\Omega} |\det(D^2 u)| \,dx \right]^{1/n} \] where \(D^2 u = (\partial_{jk} u)_{j,k=1}^n\) is the Hessian. (It is important for applications that the integral can actually be taken over the subset of \(\Omega\) where \(u\) touches its concave envelope, but we will not worry about this.)
We derive this from the following variant of the symplectic isoperimetric inequality, also proved by Viterbo:
Theorem. If \(K \subset \mathbb{R}^n\) is compact, and if \(L\) is a Lagrangian manifold contained in \(T^* K\), then \[ \gamma(L)^n \leq c_{n,K} \mathrm{Vol}_n(L) \] where \(\gamma(L)\) is another symplectic invariant.
Let \(u \in C^2_c(\Omega)\), and define \[ L = \{ (x, \nabla u(x)) \,;\, x \in \Omega \}. \] This turns out to be a Lagrangian manifold in \(\mathbb{R}^{2n}\). To compute its (usual Riemannian) volume, we note that the tangent vectors of \(L\) are of the form \(v_j = (e_j, \partial_j \nabla u)\) and the metric on \(L\) (induced by the Euclidean metric on \(\mathbb{R}^{2n}\) is given by \[ g_{jk} = v_j \cdot v_k = \delta_{jk} + \partial_j \nabla u \cdot \partial_k \nabla u = \delta_{jk} + \sum_{l=1}^n (D^2 u)_{jl} (D^2 u)_{lk}. \] Thus \(g = \mathrm{I} + (D^2 u)^2\), and \[ \mathrm{Vol}_n(L) = \int_{\Omega} \,dV_L(x) = \int_{\Omega} |\det(g_{jk}(x))|^{1/2} \,dx = \int_{\Omega} \sqrt{\det(\mathrm{I} + (D^2 u)^2)} \,dx. \] It also turns out that for this \(L\), one has \(\gamma(L) = \max_{\Omega} u - \min_{\Omega} u\). Thus the symplectic isoperimetric inequality gives \[ (\max_{\Omega} u - \min_{\Omega} u)^n \leq c_{n,\Omega} \int_{\Omega} \sqrt{\det(\mathrm{I} + (D^2 u)^2)} \,dx. \] Since \(u|_{\partial \Omega} = 0\) we have \(\max u \geq 0\) and \(\min u \leq 0\), and thus replacing \(u\) by \(\lambda u\) and letting \(\lambda \to \infty\) gives that \[ \lVert u \rVert_{L^{\infty}} \leq C_{n,\Omega} \lVert \det(D^2 u) \rVert_{L^1}^{1/n}, \qquad u \in C^2_c(\Omega). \]
(A related paper on . Some references for ABP: Caffarelli-Cabre, Taylor PDE 3 (section 14.13), Gilbarg-Trudinger (section 9.1), .)
Geodesic flows, notes 6: geometry of the sphere bundle
Here we use the definitons and notations of notes 4.
Computations in local coordinates
Given a local coordinate chart \( (U,x) \) on \(M\), there are corresponding coordinates \((x,y)\) for \(TM\) and \((x,y,X,Y)\) for \(TTM\), so that if \(\xi \in T_{(x,y)}TM\), then $$ \xi = X^j \partial_{x^j} + Y^k \partial_{y^k}. $$
Definition.The vector field \(\delta_{x^j} \in T_{(x,y)}TM\) is defined as $$ \delta_{x^j} := \partial_{x^j} - \Gamma^l_{jk} y^k \partial_{y^l}, $$ where the \( \Gamma^l_{jk} \) are the Christoffel symbols.
Lemma 1. The vectors \(\{\delta_{x^j}\}_{j=1}^n\) are a basis for the subspace \(H(\theta)\), where \(\theta =(x_0,y_0)\).
Proof. We will show that $$ K_\theta(\delta_{x^j}) = 0, \quad \text{ and } \quad d_\theta\pi(\delta_{x^j}) = \partial_{x^j}. $$ The claim follows from this, since now \(\delta_{x^j} \in \ker(K_\theta)=H(\theta)\), and since \(d\pi_\theta \colon H(\theta) \to T_x M\) is an isomorphism, so that a basis vector maps to a basis vector.
To compute \(K_\theta\) we pick a curve \(\sigma \colon (-\epsilon,\epsilon) \to TM \), \( \sigma(t)=(x(t),y(t)) \), s.t. $$ \sigma(0) = (x_0,y_0), \quad \quad \dot \sigma(0) = (\dot x(0), \dot y(0)) = \delta_{x^j}. $$ Notice that \( \dot x(0)= e_j = (0,..,1,0,..,0) \) and \( \dot y(0) = (- \Gamma^1_{jk} y^k,..,-\Gamma^n_{jk} y^k) \).
Recall that the covariant derivative of the vector field \( Z(t) = Z^j(t) \partial_{x^j} \) along a curve \( \alpha(t) \) is defined as $$ \nabla_{\dot{\alpha}} Z = (\dot{Z}^k(t) + \dot{\alpha}^i Z^a \Gamma^k_{ia}) \partial_k. $$
And that by definition $$ K_\theta \delta_{x_j} = (\nabla_{\dot x} y) |_{t=0}. $$ Since \(\dot x(0)= e_j\), we have that \[ K_\theta \delta_{x_j} = ( \dot{y}^k + y^a \Gamma^k_{ja} ) \partial_{x^k} |_{t=0}. \] On the other hand we know that \(\dot y(0)= (- \Gamma^1_{jk} y^k,..,-\Gamma^n_{jk} y^k)\). Substituting this in the expression for \(K_\theta \delta_{x^j}\), gives then that $$ K_\theta \delta_{x_j} = ( - \Gamma^k_{ja} y^a + y^a \Gamma^k_{ja} ) \partial_{x^k} |_{t=0} = 0. $$ We thus see that \(\delta_{x^j} \in H(\theta)\).
It remains to show that \(d_\theta \pi(\delta_{x^j}) = \partial_{x^j}\). Since \(d_\theta \pi\) is a linear map, we need only show that $$ d_\theta \pi(\partial_{x^j}) = \partial_{x^j}, \quad d_\theta \pi(\partial_{y^k}) = 0. $$ This holds because firstly we have that $$ (d_\theta \pi(\partial_{x^j})) f = \partial_{x^j}(f\circ \pi) = \partial_{x^j} f, $$ And secondly that $$ d_\theta \pi(\partial_{y^k}) = \partial_{y^k}(f\circ \pi) = 0. \quad\square$$
Lemma 2. The vectors \(\{\partial_{y^k}\}_{k=1}^n\) are a basis for the subspace \(V(\theta)\), \(\theta =(x_0,y_0)\).
Proof. By similar but simpler computations as in Lemma 1 one sees that $$ d_\theta\pi(\partial_{y^k}) = 0 \quad \text{ and } \quad K_\theta(\partial_{y^k}) = \partial_{x^k}. $$ It follows that \(\partial_{x^k} \in \ker(d_\theta\pi)=V(\theta)\). Moreover, we had that \(K_\theta \colon V(\theta) \to T_x M\) is an isomorphism, so that basis vectors are mapped to basis vectors.
Recall that the Sasaki metric was defined by the formula $$ \langle \eta, \xi \rangle_{\text{Sasaki}} := \langle (d_\theta\pi)\eta, (d_\theta\pi)\xi \rangle + \langle K_\theta\eta, K_\theta\xi \rangle, $$ for \(\xi,\eta \in T_\theta TM\).
Given vectors \(\xi,\eta \in T_\theta TM\) and writing them in the basis given by Lemma 1 and Lemma 2, i.e. $$ \xi = X^i \delta_{x^i} + Y^k \partial_{y^k}, \quad \eta = \tilde X^i \delta_{x^i} + \tilde Y^k \partial_{y^k}, $$
we get that $$\langle \xi, \eta \rangle_{\text{Sasaki}} = \langle X^i \partial_{x^i}, \tilde X^i \partial_{x^i} \rangle + \langle Y^k \partial_{x^k}, \tilde Y^k \partial_{x^k} \rangle = g_{jk} X^j \tilde X^k + g_jk Y^j \tilde Y^k. $$
Geodesic flows, notes 7: recap
The section numbers correspond to the numbering of previous blog entries. $ \newcommand{\vali}{(-\varepsilon,\varepsilon)} \newcommand{\id}{\operatorname{id}} \newcommand{\im}{\operatorname{im}} \newcommand{\Der}[1]{\frac{d}{d#1}} \newcommand{\Sa}{{\text{Sasaki}}} \newcommand{\ip}[2]{\left\langle#1,#2\right\rangle} \newcommand{\R}{{\mathbb R}} $
0. The goal
The goal is to show that a function on a suitable Riemannian manifold $(M,g)$ is uniquely determined by its integrals over all maximal geodesics. To this end, we must understand the geometry of geodesics in great detail. The geodesic X-ray transform takes a function $f\colon M\to\R$ to a function $If\colon\Gamma\to\R$, where $\Gamma$ is the set of all geodesics on $M$. This $I$ is a linear integral transform, and it is known as the geodesic X-ray transform. The question is whether this transform is injective.
1. Symplectic manifolds and Hamilton flows
Definition. A symplectic manifold is a pair \((N, \sigma)\) where \(N\) is an \(2n\)-dimensional smooth manifold, and \(\sigma\) is symplectic form, that is, a closed \(2\)-form on \(N\) which is nondegenerate in the sense that for any \(\rho \in N\), the map \(I_{\rho}\colon T_{\rho} N \to T^*_{\rho} N, I_{\rho}(s) = \sigma(s, \,\cdot\,)\) is bijective.
Example 1. The space \(\mathbb{R}^{2n}\) has a standard symplectic structure given by the \(2\)-form \(\sigma = dx_1 \wedge \,dx_{n+1} + \ldots + dx_n \wedge \,dx_{2n}\).
Example 2. More generally, if \(M\) is an \(n\)-dimensional \(C^{\infty}\) manifold, then \(N = T^* M\) becomes a symplectic manifold as follows: if \(\pi\colon T^* M \to M\) is the natural projection, there is a \(1\)-form \(\lambda\) on \(N\) (called the Liouville form) defined by \(\lambda_{\rho} = \pi^* \rho, \rho \in T^* M\). Then \(\sigma = d\lambda\) is a closed \(2\)-form. If \(x\) are local coordinates on \(M\), and if \((x,\xi)\) are associated local coordinates (called canonical coordinates) on \(T^* M\), then in these local coordinates \begin{align*} \lambda &= \xi_j \,dx^j, \\ \sigma &= d\xi_j \wedge \,dx^j. \end{align*} It follows that \(\sigma\) is nondegenerate and hence a symplectic form.
A Riemannian metric is an isomorphism $TM\to T^*M$, so it can be used to give a natural symplectic structure on the tangent bundle of a Riemannian manifold.
Definition. Let \((N,\sigma)\) be a symplectic manifold. Given any function \(f \in C^{\infty}(N)\), the Hamilton vector field of \(f\) is the vector field \(H_f\) on \(N\) defined by \[ H_f = I^{-1}(df) \] where \(df\) is the exterior derivative of \(f\) (a \(1\)-form on \(N\)), and \(I\) is the isomorphism \(TN \to T^* N\) given by the nondegenerate \(2\)-form \(\sigma\).
Example 2. In \( \mathbb{R}^{2n} \) one has \(I(s,t)=(t,-s)\), \(s, t \in \mathbb{R}^n\), and \[ H_f = \nabla_{\xi} f \cdot \nabla_x - \nabla_x f \cdot \nabla_{\xi}. \]
Definition. Let \((N,\sigma)\) be a symplectic manifold, and let \(f \in C^{\infty}(N)\). Denote by \(\varphi_t\) the flow on \(N\) induced by \(H_f\), that is, \[ \varphi_t\colon \rho(0) \mapsto \rho(t) \text{ where } \dot{\rho}(t) = H_f(\rho(t)). \]
Any Hamilton flow map is symplectic (\((\varphi_t)^* \sigma = \sigma\)) and consequently volume-preserving.
2. The geodesic flow
The geodesic flow on a Riemannian manifold $(M,g)$ is a dynamical system on $T^*M$ (or $TM$, the two are naturally isomorphic via the Riemann metric). A geodesic is uniquely determined by its initial position and velocity. The tangent bundle $T^*M$ is a symplectic manifold, and the geodesic flow can be realized as a Hamilton flow. It is given by the Hamilton function $$ f\colon T^* M \to \mathbb{R}, \ \ f(x,\xi) = \frac{1}{2} |\xi|_{g^{-1}}^2 = \frac{1}{2} g^{jk}(x) \xi_j \xi_k. $$ The Hamiltonian equation of motion becomes exactly the geodesic equation. One can also see the geodesic flow from the Langrangian point of view, or geometrically via local length minimization.
4. The Sasaki metric
The tangent bundle of a smooth manifold is a smooth manifold (of double dimension). There is a canonical Riemannian metric on the tangent bundle of a Riemannian manifold. This is the Sasaki metric.
The tangent bundle describes possible directions of motion on $M$; each point on $TM$ contains a point $x\in M$ and a vector $v\in T_xM$. Similarly, $TTM$ describes the directions of motion on $TM$. It is natural to split motion in two components: motion within a fiber (vertically) or motion of the base point only (horizontally). This division is most clear when $M=\R^n$; then $TM=\R^{2n}$ and $TTM=\R^{4n}$.
For any $\theta=(x,v)\in TM$, we split $T_\theta TM=H(\theta)\oplus V(\theta)$. Note that if $\dim(M)=n$, then $\dim(H(\theta))=\dim(V(\theta))=\dim(T_xM)=n$. It turns out that there are natural isomorphisms $H(\theta)\to T_xM$ and $V(\theta)\to T_xM$.
Let $\pi\colon TM\to M$ be the canonical projection. The vertical fiber is then $V(\theta)=\ker(d_\theta\pi)$ — there is no movement in the base.
There is a connection map $K\colon TTM\to TM$. A point $\theta\in TTM$ describes (to first order) a curve on $TM$. This is a curve on $M$ and a vector field along it. The covariant derivative of this vector field along this curve is $K(\theta)\in T_xM$. The horizontal fiber is then $H(\theta)=\ker(K_\theta)$ — there is no movement in the fiber (parallel transport).
The natural isomorphisms are $d_\theta\pi|_{H(\theta)}\colon H(\theta)\to T_xM$ and $K_\theta|_{V(\theta)}\colon V(\theta)\to T_xM$. The Sasaki metric is obtained by declaring these to be isometries (inherit the metric from $T_xM$) and $H(\theta)\perp V(\theta)$. We can split any vector $TTM\ni\eta=(\eta_h,\eta_v)$. In this notation $$ \ip{\eta}{\xi}_\Sa = \ip{\eta_h}{\xi_h} + \ip{\eta_v}{\xi_v}. $$
6. Coordinate representations of the Sasaki metric
For any coordinates on $M$, there are corresponding coordinates on $TM$ given by the coordinate functions and their differentials. If $x$ denotes the coordinates on $M$, let $(x,y)$ be the corresponding coordinates on $TM$. Let also $(x,y,X,Y)$ be the corresponding coordinates on $TTM$.
The vectors \(\{\delta_{x^j}=\partial_{x^j} - \Gamma^l_{jk} y^k \partial_{y^l}\}_{j=1}^n\) are a basis for the subspace \(H(\theta)\), where \(\theta =(x_0,y_0)\). The vectors \(\{\partial_{y^k}\}_{k=1}^n\) are a basis for the subspace \(V(\theta)\), \(\theta =(x_0,y_0)\).
The operators $d\pi$ and $K$ can be described in these coordinates: \begin{align*} K_\theta(\delta_{x^j}) &= 0,\\ d_\theta\pi(\delta_{x^j}) &= \partial_{x^j},\\ d_\theta\pi(\partial_{y^k}) &= 0,\\ K_\theta(\partial_{y^k}) &= \partial_{x^k}. \end{align*}
Given vectors \(\xi,\eta \in T_\theta TM\) and writing them in the basis given by $\delta_{x^j}$ and $\partial_{x^j}$, i.e. $$ \xi = X^i \delta_{x^i} + Y^k \partial_{y^k}, \quad \eta = \tilde X^i \delta_{x^i} + \tilde Y^k \partial_{y^k}, $$ we get that $$\langle \xi, \eta \rangle_{\text{Sasaki}} = \langle X^i \partial_{x^i}, \tilde X^i \partial_{x^i} \rangle + \langle Y^k \partial_{x^k}, \tilde Y^k \partial_{x^k} \rangle = g_{jk} X^j \tilde X^k + g_jk Y^j \tilde Y^k. $$
Notes 8:
1. Unit sphere bundle
Let \((M,g)\) be a smooth \(n\)-dimensional Riemannian manifold. If \(x\) are local coordinates on \(M\), there are associated local coordinates \((x,y)\) on \( T M \) and corresponding local coordinates \((x,y,X,Y)\) on \(T ( T M )\), so that
\[ T_{(x,y)} (T M) = \{ X^j \delta_{x_j} + Y^k \partial_{y_k} \,;\, X, Y \in \mathbb{R}^n \} \]
where \( \delta_{x_j} = \partial_{x_j} - \Gamma_{jk}^l y^k \partial_{y_l}\). Recall that \( \delta_{x_j} \) and \( \partial_{y_k} \) span the horizontal and vertical subspaces of \(T(T M)\), respectively. The unit sphere bundle is
\[ SM = \{ (x,v) \in T M \,;\, \lvert v \rvert_g = 1 \}. \]
This is a smooth \((2n-1)\)-dimensional submanifold of \(T M\), since \(S M = f^{-1}(1) \) where \(f: T M \to \mathbb{R}, \ f(x,y) = \lvert y \rvert_g^2 = g_{jk}(x) y^j y^k\) is smooth.
Let us determine \(T(SM)\) as a submanifold of \(T(T M)\). If \((x,v) \in SM\) and \( \eta(t) = (\gamma(t), Z(t)) \) is a horizontal curve through \((x,v)\) on \(T(T M)\), then \(f(\eta(t)) \equiv 1\) since \(\lvert Z(t) \rvert \equiv 1\) by properties of parallel transport. Thus all horizontal vectors at \((x,v)\) are in \(T(SM)\) since \(df\) is orthogonal to them. If \(\eta(t) = (x, w(t))\) is a vertical curve through \((x,v)\), then \( \partial_t (f(\eta(t)))|_{t=0}\) is zero if \(\dot{w}(0)\) is orthogonal to \(v\), but is nonzero otherwise. It follows that
\[ T(SM) = \{ X^j \delta_{x_j} + Y^k \partial_{y_k} \in T( T M ) \,;\, (x,y) \in SM, \ g_{jk} y^j Y^k = 0 \}. \]
2. Euclidean plane
Let \(M = \mathbb{R}^2\) and let \(g\) be the Euclidean metric. Then
\[ SM = \{ (x,v) \,;\, x \in \mathbb{R}^2,\ |v| = 1 \} = \mathbb{R}^2 \times S^1. \]
Thus \(SM\) is \(3\)-dimensional, and for each \((x,v) \in SM\) the tangent space \(T_{(x,v)} (SM)\) is spanned by three vectors. There is a natural basis related to geodesics. Define the geodesic flow
\[ \varphi_t: SM \to SM, \ \varphi_t(x,v) = (x+tv, v). \]
This is indeed a flow on \(SM\), since \(\varphi_0 = \mathrm{id}\) and \(\varphi_t \circ \varphi_s = \varphi_{t+s}\). Since \(\varphi_t\) is smooth with respect to \(t\), there is a smooth vector field on \(SM\) that acts as the infinitesimal generator of the flow. This is the geodesic vector field \(X\), acting on functions \(u \in C^{\infty}(SM)\) by
\[ Xu(x,v) = \frac{\partial}{\partial t} u(\varphi_t(x,v)) \Big|_{t=0} = \frac{\partial}{\partial t} u(x+tv, v) \Big|_{t=0} = v \cdot \nabla_x u(x,v). \]
The vector field \(X = v^j \partial_{x_j} = v^j \delta_{x_j}\) is horizontal. There is a related horizontal vector field \(X_{\perp}\) on \(SM\),
\[ X_{\perp} u(x,v) = v_{\perp} \cdot \nabla_x u(x,v) \]
where \(v_{\perp}\) is rotation of \(v\) by \(90^{\circ}\) clockwise. To define the third vector field in the basis, we identify \(S^1\) with \(\mathbb{R}/2\pi \mathbb{Z}\) by \( \theta \mapsto v_{\theta} = (\cos \theta, \sin \theta)\), and define the vertical vector field \(V\) by
\[ V u(x,v_{\theta}) = \frac{\partial}{\partial \theta} u(x,v_{\theta}) = v_{\theta}^{\perp} \cdot \nabla_y \tilde{u}(x,v_{\theta}) \]
where \(v_{\theta}^{\perp}\) is the rotation of \(v_{\theta}\) by \(90^{\circ}\) counterclockwise, and \(\tilde{u}(x,y) = u(x,y/|y|)\) is the homogeneous (of degree \(0\) in \(y\)) extension of \(u\) from \(SM\) to \(T M \setminus \{0\} \). It follows that
\[ T_{(x,v)}(SM) = \mathrm{span}\{ X|_{(x,v)}, X_{\perp}|_{(x,v)}, V|_{(x,v)} \}. \]
Moreover, the vector fields \(X, X_{\perp}, V\) are orthonormal with respect to the Sasaki metric, since \(\{ \partial_{x_1}, \partial_{x_2}, \partial_{y_1}, \partial_{y_2}\}\) is an orthonormal basis of \(T(T M)\) in the Sasaki metric. Thus \(\{X, X_{\perp}, V\}\) provides a global orthonormal frame on \(T(SM)\). If \(u \in C^{\infty}(SM)\), the metric gradient of \(u\) with respect to Sasaki metric is given by
\[ \nabla_{SM} u = \underbrace{(Xu) X + (X_{\perp} u) X_{\perp}}_{\mathrm{horizontal}} + \underbrace{(Vu) V}_{\mathrm{vertical}}. \]
This shows that the vector fields \(\{X, X_{\perp}, V\}\) generate all possible first order derivatives on \(SM\).
3. Two-dimensional Riemannian manifolds
Let now \((M,g)\) be an oriented two-dimensional Riemannian manifold. We wish to find counterparts for the \(X, X_{\perp}, V\) vector fields in this setting. Let \(\varphi_t: SM \to SM\) be the geodesic flow, defined (possibly on a subdomain) by
\[ \varphi_t(x,v) = (\gamma_{x,v}(t), \dot{\gamma}_{x,v}(t)) \]
where \(\gamma_{x,v}(t)\) is the geodesic through \((x,v)\). This is a flow, and the geodesic vector field \(X\) is defined to be its infinitesimal generator. In local coordinates, if \(\tilde{u}(x,y) = u(x,y/|y|_g)\) is the \(0\)-homogeneous extension,
\[ Xu(x,v) = \frac{\partial}{\partial t} \tilde{u}(\gamma(t), \dot{\gamma}(t)) \Big|_{t=0} = (\partial_{x_j} u) \dot{\gamma}^j + (\partial_{y_k} \tilde{u}) \ddot{\gamma}^k \Big|_{t=0} = v^j \partial_{x_j} u - \Gamma^{k}_{ab} v^a v^b \partial_{y_k} \tilde{u} = v^j \delta_{x_j} \tilde{u}. \]
It follows that \(X = v^j \delta_j\), where \(\delta_j\) is the vector field on \(SM\) corresponding to \(\delta_{x_j}\):
\[ \delta_j u = \delta_{x_j} (u \circ p)|_{SM} \]
where \(p: T M \setminus \{0\} \to SM, p(x,y) = (x,y/|y|_g)\). Now \(X\) is horizontal, and we obtain another horizontal vector field \(X_{\perp}\) by
\[ X_{\perp} = (v_{\perp})^j \delta_j \]
where \(v_{\perp}\) is the rotation of \(v\) by \(90^{\circ}\) clockwise with respect to \(g\). Finally, since \((M,g)\) is oriented we may define a flow \(r_t: SM \to SM\) so that \(r_t(x,v) = (x,v_t)\) where \(v_t\) is the rotation of \(v\) by \(t\) radians counterclockwise. The infinitesimal generator of \(r_t\) is denoted by \(V\), and in local coordinates
\[ V = (v^{\perp})^k \partial_k \]
where \(v^{\perp}\) is the rotation of \(v\) by \(90^{\circ}\) counterclockwise, and \(\partial_k\) is the vector field on \(SM\) corresponding to \(\partial_{y_k}\) by
\[ \partial_k u = \partial_{y_k} (u \circ p)|_{SM}. \]
Again, \(\{X, X_{\perp}, V\}\) provides a global orthonormal frame of \(SM\) with respect to Sasaki metric, and
\[ \nabla_{SM} u = \underbrace{(Xu) X + (X_{\perp} u) X_{\perp}}_{\mathrm{horizontal}} + \underbrace{(Vu) V}_{\mathrm{vertical}} \]
so \(\{X, X_{\perp}, V\}\) generate all possible first order derivatives on \(SM\).
4. General Riemannian manifolds
Let now \((M,g)\) be an \(n\)-dimensional Riemannian manifold. The geodesic flow \(\varphi_t: SM \to SM\) is defined as before, and the geodesic vector field \(X\) is defined to be its infinitesimal generator. In local coordinates
\[ X = v^j \delta_j \]
where \(\delta_j\) is the vector field on \(SM\) corresponding to \(\delta_{x_j}\). Thus \(X\) is a horizontal vector field with unit length. The horizontal part of \(T(SM)\) has dimension \(n\) and the vertical part has dimension \(n-1\), so for \(n \geq 3\) the vector fields \(X_{\perp}\) and \(V\) need to be replaced by suitable gradients.
If \(u \in C^{\infty}(SM)\), we define the vertical gradient \(\overset{\tt{v}}{\nabla} u\) as the vector field in \(T M\) corresponding to the vertical part of \(\nabla_{SM} u\) (the gradient with respect to Sasaki metric on \(SM\)). In previous notation,
\[ \overset{\tt{v}}{\nabla} u = K(\mathrm{proj}_V(\nabla_{SM} u)). \]
We also define the horizontal gradient \( \overset{\tt{h}}{\nabla} u \) as the vector field on \(T M\) corresponding to the horizontal part of \(\nabla_{SM} u\) minus the part in the direction of \(X\). More precisely,
\[ \overset{\tt{h}}{\nabla} u = d\pi(\mathrm{proj}_H(\nabla_{SM} u - (Xu) X)). \]
The horizontal and vertical gradients are maps
\[ \overset{\tt{h}}{\nabla}, \overset{\tt{v}}{\nabla}: C^{\infty}(SM) \to \mathcal{Z} \]
where
\[ \mathcal{Z} = \{ Z \in C^{\infty}(SM, T M) \,;\, Z(x,v) \in T_x M, \ \langle Z(x,v), v \rangle = 0 \}. \]
In local coordinates one has
\[ \overset{\tt{h}}{\nabla} u = (\delta^j u - (v^k \delta_k u) v^j) \partial_{x_j}, \]
\[ \overset{\tt{v}}{\nabla} u = (\partial^k u) \partial_{x_k} \]
where we raise and lower indices with respect to \(g\). As before, with natural identifications,
\[ \nabla_{SM} u = ((Xu)X, \overset{\tt{h}}{\nabla} u, \overset{\tt{v}}{\nabla} u) \]
so the three operators \(\{ X, \overset{\tt{h}}{\nabla}, \overset{\tt{v}}{\nabla}\}\) generate all first order derivatives on \(SM\). If \(n=2\), the horizontal and vertical gradients reduce to \(X_{\perp}\) and \(V\) :
\[ \overset{\tt{h}}{\nabla} u = -(X_{\perp} u) v^{\perp}, \]
\[ \overset{\tt{v}}{\nabla} u = (Vu) v^{\perp}. \]
Notes 9:
1. Review
Let \((M,g)\) be a smooth \(n\)-dimensional Riemannian manifold. If \(x\) are local coordinates on \(M\), there are associated local coordinates \((x,y)\) on \( T M \) and corresponding local coordinates \((x,y,X,Y)\) on \(T ( T M )\), so that
\[ T_{(x,y)} (T M) = \{ X^j \delta_{x_j} + Y^k \partial_{y_k} \,;\, X, Y \in \mathbb{R}^n \} \]
where \( \delta_{x_j} = \partial_{x_j} - \Gamma_{jk}^l y^k \partial_{y_l}\). Now \( \delta_{x_j} \) and \( \partial_{y_k} \) span the horizontal and vertical subspaces of \(T(T M)\), respectively. Define the corresponding vector fields on \(SM\),
\[ \delta_j u = \delta_{x_j} (u \circ p)|_{SM}, \]
\[ \partial_k u = \partial_{y_k} (u \circ p)|_{SM} \]
where \(p: T M \setminus \{0\} \to SM, p(x,y) = (x,y/|y|_g)\).
Recall the geodesic vector field \(X\) and the horizontal and vertical gradients
\[ \overset{\tt{h}}{\nabla}, \overset{\tt{v}}{\nabla}: C^{\infty}(SM) \to \mathcal{Z} \]
where
\[ \mathcal{Z} = \{ Z \in C^{\infty}(SM, T M) \,;\, Z(x,v) \in T_x M, \ \langle Z(x,v), v \rangle = 0 \}. \]
In local coordinates one has
\[ X = v^j \delta_j, \]
\[ \overset{\tt{h}}{\nabla} u = (\delta^j u - (v^k \delta_k u) v^j) \partial_{x_j}, \]
\[ \overset{\tt{v}}{\nabla} u = (\partial^k u) \partial_{x_k} \]
where we raise and lower indices with respect to \(g\). The main point is that, with natural identifications,
\[ \nabla_{SM} u = ((Xu)X, \overset{\tt{h}}{\nabla} u, \overset{\tt{v}}{\nabla} u) \]
so the three operators \(\{ X, \overset{\tt{h}}{\nabla}, \overset{\tt{v}}{\nabla}\}\) generate all first order derivatives on \(SM\).
2. Commutator formulas
We will prove the commutator formulas
\[ [X, \overset{\tt{v}}{\nabla}] = - \overset{\tt{h}}{\nabla}, \]
\[ [X, \overset{\tt{h}}{\nabla}] = - R \overset{\tt{v}}{\nabla}. \]
Here, \(X\) is defined naturally on \(\mathcal{Z}\) via the geodesic flow \(\varphi_t\) and the covariant derivative:
\[ XZ(x,v) = D_t (Z(\varphi_t(x,v))) |_{t=0} = (XZ^j) \partial_{x_j} + \Gamma_{jk}^l v^j Z^k \partial_{x_l}. \]
3. Adjoints
We wish to compute the adjoints of \(\{X, \overset{\tt{h}}{\nabla}, \overset{\tt{h}}{\nabla} \}\) in natural \(L^2\) inner products.
If \((N,g)\) is any manifold with smooth boundary, recall the integration by parts formulas
\[ \int_N \mathrm{div}(W) \,dV = \int_{\partial N} \langle W, \nu \rangle \,dS, \]
\[ \int_N (Wu) w \,dV = -\int_N u(Ww) \,dV - \int_N u w \mathrm{div}(W) \,dV + \int_{\partial N} uw \langle W, \nu \rangle \,dS \]
where \(\mathrm{div}\) is the metric divergence, \(W\) is a vector field, and \(u, w\) are functions on \(N\).
Recall that the geodesic vector field \(X\) arises from a Hamilton flow, hence it preserves the natural volume (also on \(SM\)). Thus \(\mathrm{div}(X) = 0\) by the basic identity connecting the Lie derivative, volume form and metric divergence:
\[ (\mathrm{div}(X)) \,dV_g = \mathcal{L}_X \,dV_g = 0. \]
It follows that the adjoint of \(X\) in the \(L^2(SM)\) inner product is \(-X\):
\[ (Xu, w)_{L^2(SM)} = -(Xu, w)_{L^2(SM)}, \qquad u, w \in C^{\infty}(SM), w|_{\partial(SM)} = 0. \]
The formal adjoints of \(\overset{\tt{h}}{\nabla}\) and \(\overset{\tt{v}}{\nabla}\) will be given by the horizontal and vertical divergences, defined by
\[ \overset{\tt{h}}{\mathrm{div}}, \overset{\tt{v}}{\mathrm{div}}: \mathcal{Z} \to C^{\infty}(SM), \]
\[ \overset{\tt{h}}{\mathrm{div}} Z = (\partial_j + \Gamma_j) Z^j, \qquad \Gamma_j = \Gamma_{jk}^k, \]
\[ \overset{\tt{v}}{\mathrm{div}} Z = \partial_j Z^j. \]
One has
\[ (\overset{\tt{h}}{\nabla} u, Z) = -(u, \overset{\tt{h}}{\mathrm{div}} Z), \]
\[ (\overset{\tt{v}}{\nabla} u, Z) = -(u, \overset{\tt{v}}{\mathrm{div}} Z) \]
whenever one of \(u\) and \(Z\) vanishes on \(\partial(SM)\). These adjoint formulas follow from
\[ (\delta_j u, w) = -(u, (\delta_j + \Gamma_j) w), \]
\[ (\partial_j u, w) = -(u, (\partial_j - (n-1) v_j) w) \]
which can be proved by local coordinate computations.
All this gives rise to the third important commutator formula
\[ \overset{\tt{h}}{\mathrm{div}} \overset{\tt{v}}{\nabla} - \overset{\tt{v}}{\mathrm{div}} \overset{\tt{h}}{\nabla} = (n-1) X. \]
Courses on inverse problems in JSS31.
General information
- Lecture room: MaD202
- Summer school website
- All JSS31 courses in mathematics and statistics (with Sisu links for registration)
- Contact person: (joonas.ilmavirta@jyu.fi)
- Time: Monday through Friday, August 8-12, 2022
- Short alias for this page:
Social event for inverse courses at Hotel Alba on Tuesday from 6 to 9 pm. Everyone is welcome!
Support for exercises: Room MaD245 MaA211 (updated!) Tue-Fri at 1-3 pm is reserved for doing homework together.
MA1: The Boundary Control Method and Inverse Problems for the Wave Equation
- Time: 9-11 am every day (starting at 9:15 after Monday)
- Instructors: Lauri Oksanen (University of Helsinki; lauri.oksanen@helsinki.fi) and Medet Nursultanov (University of Helsinki; medet.nursultanov@helsinki.fi)
- Course completion: Attend the lectures and return the exercises by email to Medet (email above) by the end of August.
- To pass, you need to solve 6 problems correctly. Try a few extra to be sure to make it.
- The final version of the lecture notes with the final exercises will be available soon, but there is enough material for passing the course in the currently available version.
- Lecture notes (polished final version, updated after the course)
MA2: Introduction to the mathematics of X-ray imaging: X-ray transforms
- Time: 3-5 pm every day
- Instructor: François Monard (University of California, Santa Cruz; fmonard@ucsc.edu)
- Lecture notes (final version, updated Monday 15th)
- Course completion: Attend the lectures and return the exercises by email to François (email above) by the end of August.
- To pass, you need to solve 6 problems correctly. Try a few extra to be sure to make it.
- The final version of the lecture notes with the final exercises will be available soon, but there is enough material for passing the course in the currently available version.
- Supporting material:
- Old lecture notes (similar to final lecture notes, but with different numberings and details)
- F. Natterer, The mathematics of Computerized Tomography, Society for Industrial and Applied Mathematics, 2001.
- G. Paternain, M. Salo and G. Uhlmann, , 2021.
- J. Ilmavirta and F. Monard, , The Radon Transform: the first 100 years and beyond. Radon series on computations and applied mathematics 22 (2019). Editors: R. Ramlau, O. Scherzer.
- J. Ilmavirta, , lecture notes (2017), arXiv:1711.06557.
Note: due to the ongoing coronavirus epidemic, we will organize the conference online via Zoom on August 23-27, 2021. A small online pre-conference was organized on August 24-28, 2020.
The online conference "Inverse problems and nonlinearity" (August 23-27, 2021, Helsinki, Finland) will consider recent developments related to nonlinearity in inverse problems broadly speaking, together with useful methods from nearby fields. Topics include nonlinear PDEs and models, nonlinear methods for linear models, and also nonlocal effects.
Please contact to be included in the conference mailing list. The Zoom link for the talks will be sent to participants in the mailing list.
Program
Here is the conference program. The conference begins on Monday 23 Aug at 16.00 Finnish time. All talks will be 30 min including questions.
Please note that on Thursday at 17.10-18.00 Finnish time there will be a pitch session where younger researchers can give short (max 5 min) presentations introducing themselves and their work. All participants are encouraged to follow the pitch session. If you wish to give a pitch talk please contact .
Scientific committee
Fioralba Cakoni (Rutgers), Colin Guillarmou (Orsay), Katya Krupchyk (UC Irvine), Gen Nakamura (Hokkaido), Mikko Salo (Jyväskylä), Gunther Uhlmann (Washington / HKUST)
Organizing committee
Tracey Balehowsky, Tatiana Bubba, Tapio Helin, Matti Lassas (chair), Petri Ola, Petteri Piiroinen, Luca Ratti, Samuli Siltanen, Anna Suomenrinne-Nordvik, Teemu Tyni
Online conference in 2021
The conference was organized online on August 23-27, 2021. The table below contains the program, videos and slides of the talks.
Speaker and title
Aug 23 (Tue)
Lauri Oksanen (Helsinki)
/ slides
Gabriel Paternain (Cambridge)
/ slides
Angkana Rüland (Heidelberg)
Unique continuation for a class of sublinear elliptic equations / slides
Maarten de Hoop (Rice)
/ slides
Katya Krupchyk (UC Irvine)
Inverse problems for quasilinear elliptic PDE / slides
Aug 24 (Tue)
Hariharan Narayanan (Mumbai/TIFR)
/ slides
Qin Li (Wisconsin)
/ slides
John Schotland (Yale)
/ slides
Gunther Uhlmann (Washington/HKUST)
/ slides
Aug 25 (Wed)
Colin Guillarmou (Orsay)
/ slides
Tuomo Kuusi (Helsinki)
/ slides
Plamen Stefanov (Purdue)
/ slides
András Vasy (Stanford)
/ slides
Aug 26 (Thu)
Teemu Tyni (Toronto)
/ slides
Roland Potthast (Reading / DWD)
/ slides
Ru-Yu Lai (Minnesota (Reading / DWD)
/ slides
Aug 27 (Fri)
Takaaki Nara (Tokyo)
/ slides
Thibault Lefeuvre (Sorbonne)
/ slides
Joonas Ilmavirta (Tampere)
/ slides
Fioralba Cakoni (Rutgers)
/ slides
Online pre-conference in 2020
The online pre-conference was organized via Zoom on August 24-28, 2020. See below for the program, including videos and slides of the talks.
Speaker and title
Aug 24 (Mon)
Gunther Uhlmann (Washington/HKUST)
/ slides
Aug 25 (Tue)
Angkana Rüland (Heidelberg)
/ slides
Aug 26 (Wed)
Hariharan Narayanan (TIFR)
/ slides
Aug 27 (Thu)
Katya Krupchyk (UC Irvine)
Inverse boundary problems for semilinear elliptic PDE and linearized anisotropic Calderon problem
After the talk, have your favorite snacks and drinks ready and join a virtual reception in breakout rooms! The official drinks of the meeting for different time zones are Costa Rican coffee, Diet Coke, and Argentinian wines.
Aug 28 (Fri)
John Schotland (Yale)
/ slides
Paviljonki conference center, Jyväskylä, Finland, December 16–18, 2019
Please give us feedback about the conference!
The Inverse Days invites people interested in all kinds of inverse problems to Jyväskylä on December 16–18 2019. The Inverse Days conference is the annual meeting of , organized this year by Ä¢¹½Ö±²¥. It is also a part of the activities coordinated by .
Schedule
The event will start approximately 10 am on Monday 16th and end by 4 pm on Wednesday 18th. The exact schedule can be found on the program page.
Registration and submissions
To register for conference participation, please use the registration form. The early bird registration deadline is October 16, normal registration deadline is November 16. REGISTRATION IS CLOSED.
To submit a talk or a poster, please use the presentation submission form. Every poster comes with a short advertisement talk. The submission deadline is November 16. SUBMISSIONS ARE CLOSED.
See the list of registered participants.
Payment
The are two classes of registration fees:
- Early bird registration: register by October 16, fee 300 €
- Normal registration: register by November 16, fee 400 €
The fee includes participation, free lunch every day, coffee breaks in the mornings and afternoons, a reception on Monday and a conference dinner on Tuesday.
There are two options for payment: Wire transfer by November 16 or cash payment at the venue. We cannot accept payment cards of any kind.
Wire transfers should be made to the account of the Finnish Inverse Problems Society:
- Account owner: Suomen inversioseura
- IBAN: FI72 1012 3000 2079 18
- BIC: NDEAFIHH
- Reference number: personal or 5005
The reference number is the same as used for paying the annual membership fee. If you are not a member, please use the number 5005. You can check your number by contacting the organizers or the secretary of the society.
If you pay for more than one participant with one wire transfer, please contact the organizers by email with a transfer receipt and a list of names.
Venue
The event will take place in the conference center Paviljonki, right next to Solo Sokos Hotel Paviljonki and a very short walk from the Jyväskylä railway station.
Accommodation
We have accommodation deals with Solo Sokos Hotel Paviljonki (right next to the conference venue) and Original Sokos Hotel Alexandra (within 500 meters from the venue).
The single room nightly rates are 125 € in Paviljonki and 109,50 € in Alexandra. For a twin room the rates are 135 € and 119,50 €, respectively. The rates are valid from 15th to 19th December with the reservation code "BINVERSEDAYS".
Participants are expected to book their own accommodation through the website or through the local sales agency (tel. +358 20 1234 640, sales.jyvaskyla@sokoshotels.fi).
Childcare
Temporary daycare service for children is available next to the conference venue at Kindergarten Sateenkaari, Piippukatu 5. For inquiries, contact Jarno Kinnunen, tel. +358 50 551 7002, jarno.kinnunen@jklhoivapalvelu.com.
Local information for participants
For local information including weather, travel, restaurants, activities, and others, please refer to . Here is a map of relevant locations related to the conference:
Contact us
If you have any questions, please send email to inversedays2019@jyu.fi or contact .
Registered participants
List of registered participants who have agreed to have their name on this list.
Adedipe Taiwo
Lappeenranta-Lahti University of Technology
Aku Seppänen
University of Eastern Finland
Alexander Meaney
University of Helsinki
Alexey Kazarnikov
Lappeenranta-Lahti University of Technology
Amadi Chinalu Miracle
Lappeenranta-Lahti University of Technology
Andreas Hauptmann
University of Oulu & University College London
Anna Suomenrinne-Nordvik
University of Helsinki
Antti Paldanius
Tampere University
Antti Voss
University of Eastern Finland
Arto Julkunen
Astrock Oy
Arttu Arjas
University of Oulu
Aynur Cöl
Sinop University
Bjørn Christian Skov Jensen
Technical University of Denmark
Carl-Joar Karlsson
University of Gothenburg & Chalmers
Dipal Shah
Lappeenranta-Lahti University of Technology
Emilia Blåsten
University of Helsinki
Ensio Suonperä
University of Helsinki
Francois Monard
University of California, Santa Cruz
Fredrik Hildrum
Norwegian University of Science and Technology
Giovanni Covi
Ä¢¹½Ö±²¥
Guanghui Liang
Tianjin University & University of Eastern Finland
Heikki Haario
Lappeenranta-Lahti University of Technology
Heli Virtanen
University of Helsinki
Henrik Garde
Aalborg University
Hjørdis Amanda Schlüter
Technical University of Denmark
Jaakko Kultima
University of Oulu
Jalo Nousiainen
Lappeenranta-Lahti University of Technology
Janne Nurminen
Ä¢¹½Ö±²¥
Jarkko Suuronen
Lappeenranta-Lahti University of Technology
Jenni Tick
University of Eastern Finland
Jesse Railo
Ä¢¹½Ö±²¥
Jinpeng Lu
University of Helsinki
Jonatan Lehtonen
University of Helsinki
Joonas Ilmavirta
Ä¢¹½Ö±²¥
Josef Durech
Charles University
Juha-Pekka Puska
Aalto University
Katrine Ottesen Bangsgaard
Technical University of Denmark
Keijo Mönkkönen
Ä¢¹½Ö±²¥
Lassi Roininen
Lappeenranta-Lahti University of Technology
Lauri Oksanen
University College London
Lauri Ylinen
University of Helsinki
Leyter Potenciano Machado
Ä¢¹½Ö±²¥
Luca Ratti
University of Helsinki
Ma Shiqi
Ä¢¹½Ö±²¥
Maarten de Hoop
Rice University
Marco Mazzucchelli
École Normale Supérieure de Lyon
Mari Lehti-Polojärvi
Tampere University
Marko Vauhkonen
University of Eastern Finland
Markus Juvonen
University of Helsinki
Marzieh Hosseini
University of Eastern Finland
Mathilde Galinier
Università degli studi di Modena e Reggio Emilia
Matteo Santacesaria
University of Genoa
Matti Hanhela
University of Eastern Finland
Matti Lassas
University of Helsinki
Matti Niskanen
University of Eastern Finland
Meghdoot Mozumder
University of Eastern Finland
Mette Bjerg Lindhøj
Copenhagen University & Danish Research Center for Magnetic Resonance
Mikael Laaksonen
Lappeenranta-Lahti University of Technology
Mikko Salo
Ä¢¹½Ö±²¥
Mila Hyytinen
University of Helsinki
Muhammad Ziaul Arif
University of Eastern Finland
Nataliia Kinash
Tallinn University of Technology
Niko Hänninen
University of Eastern Finland
Nuutti Hyvönen
Aalto University
Olli Koskela
Häme University of Applied Sciences
Otto Lamminpää
Finnish Meteorological Institute
Pauliina Hirvi
Aalto University
Petri Kuusela
University of Eastern Finland
Petri Varvia
Tampere University
Petteri Piiroinen
University of Helsinki
Rahul Yadav
University of Eastern Finland
Rashmi Murthy
University of Helsinki
Rasmus Backholm
University of Helsinki
Remo Kretschmann
Lappeenranta-Lahti University of Technology
Salla Latva-Äijö
University of Helsinki
Samuli Siltanen
University of Helsinki
Sara Sommariva
University of Genova
Sari Lasanen
Lappeenranta-Lahti University of Technology
Sebastian Springer
Lappeenranta-Lahti University of Technology
Siiri Rautio
University of Helsinki
Tanja Tarvainen
University of Eastern Finland
Tapio Helin
Lappeenranta-Lahti University of Technology
Tatiana Bubba
University of Helsinki
Teemu Härkönen
Lappeenranta-Lahti University of Technology
Teemu Sahlström
University of Eastern Finland
Teemu Saksala
Rice University
Teemu Tyni
University of Helsinki
Tomi Nissinen
University of Eastern Finland & Kuopio University Hospital
Tommi Brander
Norwegian University of Science and Technology
Tommi Heikkilä
University of Helsinki
Tony Liimatainen
Ä¢¹½Ö±²¥
Topi Kuutela
Aalto University
Tuomo Valkonen
University of Helsinki & Escuela Politécnica Nacional
Valentina Candiani
Aalto University
Valter Pohjola
Basque Center of Applied Mathematics
Vesa Kaarnioja
University of New South Wales
Ville Kolehmainen
University of Eastern Finland
Vivi Hyttinen
University of Helsinki
Yavar Kian
Aix-Marseille University
Yuri Ashrafyan
King Abdullah University of Science and Technology
Program
The detailed program of Inverse Days, including abstracts. See below for pdf format.
Day 1, Monday 16th
10:00 - 10:45 Registration (1st floor lobby)
10:45 - 11:05 Conference opening (Wivi)
Wivi
11:05 - 11:20
Samuli Siltanen
Special talk: 25 years of Inverse Days
11:20 - 12:00
Maarten V. de Hoop
Keynote talk: Spectral inverse problems for the earth
12:00 - 13:00 Lunch (restaurant)
12:00 - 13:30 Board meeting & poster preparation (cabinet & 2nd floor lobby)
Wivi
Alvar
13:30 - 13:55
Teemu Tyni
Numerical results on Saito's uniqueness theorem for inverse scattering
Remo Kretschmann
Generalised modes in Bayesian inverse problems
13:55 - 14:20
Meghdoot Mozumder
Truncated Fourier series based time-domain diffuse optical tomography
Tapio Helin
Hyperparameter estimation in Bayesian inverse problems: consistency of MAPs
14:20 - 14:45
Mikael Laaksonen
Deterministic approximation of inverse boundary spectral problems via stochastic collocation
Jonatan Lehtonen
Estimating hyperparameters of a hierarchical model using Bayesian filtering
14:45 - 15:15 Coffee (restaurant)
Wivi
15:15 - 15:40
Tatiana Bubba
Plenary talk: Learning the Invisible: Limited Angle Tomography, Shearlets and Deep Learning
15:40 - 16:05
Sara Sommariva
Plenary talk: Optimal regularization technique for the estimation of the cross-power spectrum in underdetermined, dynamical inverse problems.
16:10 - 17:00
Poster authors
Short talks
17:00 - 17:30 Poster session (2nd floor lobby)
17:30 - 19:00 Icebreaker (2nd floor lobby)
Day 2, Tuesday 17th
8:45 - 9:00 Registration (1st floor lobby)
Wivi
Alvar
09:00 - 09:25
Luca Ratti
A Convolutional Neural Networks approach for sparsity-promoting regularization in CT: theoretical results
Emilia Blåsten
Detecting blockages in water supply networks using boundary control
09:25 - 09:50
Mathilde Galinier
Unrolled ISTA and convolutional neural networks for limited-angle tomography reconstruction
Leyter Potenciano-Machado
A resolvent estimate for the magnetic Schrödinger operator in the presence of short and long-range potentials
09:50 - 10:15
Jalo Nousiainen
Inverse problems and deep learning in predictive control for adaptive optics
Shiqi Ma
Determining a random Schrödinger equation
10:15 - 10:45 Coffee (restaurant)
Wivi
10:45 - 11:10
Marco Mazzucchelli
Spectral characterizations of Besse and Zoll Reeb flows
11:10 - 11:35
Tuomo Valkonen
First-order primal-dual methods for non-linear inverse problems
11:35 - 12:00
Yavar Kian
Inverse problems for diffusion equations
12:00 - 13:00 Lunch (restaurant)
12:00 - 13:30 Women in Inverse Problems (cabinet)
Wivi
Alvar
13:30 - 13:55
Lauri Ylinen
Analysis of a Dynamical System Modelling Lasers and Applications for Optical Neural networks
Otto Lamminpää
UQ for satellite measurements of CO2 using MCMC
13:55 - 14:20
Rahul Yadav
Deep convolutional neural networks for estimating porous material properties using microwave tomography
Vesa Kaarnioja
Uncertainty quantification for PDE-constrained optimal control problems using quasi-Monte Carlo methods
14:20 - 14:45
Andreas Hauptmann
Learned image reconstruction for large scale tomographic imaging
Bjørn Christian Skov Jensen
Wave speed uncertainty in Acousto-Electric Tomography
14:45 - 15:15 Coffee (restaurant)
Wivi
15:15 - 15:40
François Monard
The geodesic X-ray transform on disks of constant curvature
15:40 - 16:05
Rashmi Murthy
Classification of the stroke using Neural Networks in Electrical Impedance Tomography
16:10 - 17:30 FIPS meeting
18:30 Transportation to dinner (in front of Paviljonki)
19:00 Dinner (Scandic Hotel Laajavuori)
22:00 Transportation from dinner (in front of dinner venue)
Day 3, Wednesday 18th
Wivi
Alvar
09:00 - 09:25
Samuli Siltanen
Gray-box machine learning for electrical impedance tomography
Giovanni Covi
An inverse problem for the fractional Schrödinger equation in a magnetic field
09:25 - 09:50
Ville Kolehmainen
Non-linear difference reconstruction method for monitoring of cerebral haemorrhage
Nataliia Kinash
An inverse problem for a generalized fractional derivative with an application in reconstruction of time- and space-dependent sources in fractional diffusion and wave equations
09:50 - 10:15
Aynur Cöl
Deep Learning based Virtual Hybrid Edge Detection Method in Electrical Impedance Tomography for Stroke Classification
Fredrik Hildrum
Nonlinear Lavrentiev regularization of monotone ill-posed equations
10:15 - 10:45 Coffee (restaurant)
Wivi
Alvar
10:45 - 11:10
Valentina Candiani
Monotonicity-based reconstruction of extreme inclusions in electrical impedance tomography
Petri Kuusela
Imaging of moisture flows in cement-based materials using X-ray computer tomography and electrical capacitance tomography
11:10 - 11:35
Guanghui Liang
Shape-based image reconstruction of electrical/ultrasonic dual-modality tomography
Teemu Sahlström
Modelling of errors due to uncertainties in ultrasound sensor locations in photoacoustic tomography
11:35 - 12:00
Henrik Garde
Optimal depth-dependent distinguishability bounds for EIT
Rasmus Backholm
Simultaneous Reconstruction of Emission and Attenuation in Passive Gamma Emission Tomography of Spent Nuclear Fuel
12:00 - 13:15 Lunch (restaurant)
Wivi
Alvar
13:15 - 13:40
Matteo Santacesaria
Infinite-dimensional inverse problems with a finite number of measurements
Teemu Saksala
Generic uniqueness and stability for mixed ray transform
13.40 - 14:05
Topi Kuutela
Developments on the logarithmic forward map of electrical impedance tomography
Tommi Brander
1D source detection with multiple frequencies
14:05 - 14:35 Coffee (restaurant)
Wivi
14:35 - 15:00
Lauri Oksanen
The light ray transform in stationary and static Lorentzian geometrics
15:00 - 15:25
Matti Lassas
New deep neural networks solving non-linear inverse problems
15:25 - 15:35 Ending
The information is also available in PDF form:
The workshop "Inverse problems, PDE and geometry" (August 20-23, 2018 in Jyväskylä, Finland) will focus on recent progress in the mathematical theory of inverse problems and related methods in PDE, geometry and microlocal analysis. We are looking forward to welcoming you in Jyväskylä!
Invited speakers
Tracey Balehowsky (Helsinki)
Katya Krupchyk (UC Irvine)
Eemeli Blåsten (HKUST)
Matti Lassas (Helsinki)
Mihajlo Cekic (MPI Bonn)
Thibault Lefeuvre (Paris-Sud)
Xi Chen (Cambridge)
Tony Liimatainen (Helsinki)
Maarten de Hoop (Rice)
Yi-Hsuan Lin (HKUST)
Daniel Faraco (UA Madrid)
Hongyu Liu (HKBU)
Ali Feizmohammadi (UCL)
François Monard (UC Santa Cruz)
Allan Greenleaf (Rochester)
Lauri Oksanen (UCL)
Joonas Ilmavirta (Jyväskylä)
Gabriel Paternain (Cambridge)
Hiroshi Isozaki (Tsukuba)
Plamen Stefanov (Purdue)
Sergei Ivanov (Steklov Institute, St Petersburg)
Gunther Uhlmann (Washington / HKUST)
Herbert Koch (Bonn)
András Vasy (Stanford)
Scientific committee
Yaroslav Kurylev (UCL), Mikko Salo (Jyväskylä), Gunther Uhlmann (Washington / HKUST)
Program
Please see the schedule and the full program booklet.
Travel and local information
Here is a map of the locations related to the conference:
There are a limited number of flights to Jyväskylä airport (see the ). Alternatively, it is possible to fly to Helsinki and take a train from Helsinki airport to Jyväskylä. Train schedules may be found on . For questions related to travel, please contact Miia Honkonen.
Suggested hotels:
- (next to conference venue, please contact Miia Honkonen for inquiries)
For information on visiting Jyväskylä and things to do, please see .
Contact information
We would be happy to answer any inquiries. Please contact
- for general inquiries,
- Miia Honkonen for travel or hotel related matters, and
- for titles and abstracts of presentations.
Schedule
The talks of the workshop will take place in the Agora building (Auditorium 1) of the Ä¢¹½Ö±²¥ on Monday and Tuesday, and at the Department of Mathematics and Statistics (MaD202) on Wednesday and Thursday.
Picture of the schedule is in the attachment section.
The inverse problems reading group will meet on Wednesdays at 10.15–11.15 in room MaA104. The reading group provides a place to discuss the current affairs of the inverse problems group.
The program for Spring 2015 is as follows; it will be specified gradually during the spring.
Date
Speaker
14.1.
Planning
21.1.
-
28.1.
Joonas Ilmavirta
4.2.
Manas Kar
11.2.
Tony Liimatainen
18.2.
Tommi Brander
25.2.
-
4.3.
Jere Lehtonen
11.3.
-
18.3.
Esa Vesalainen
Program of the reading group for previous years:
Inverse problems reading group 2013-2014
Inverse problems reading group Fall 2014 (topic: unique continuation)
The inverse problems reading group in Fall 2013 and Spring 2014 will meet on Wednesdays at 10.15-11.00 in room MaA203. The plan is to go through selected articles related to the field, and to provide a place to discuss current affairs of the group.
Possible articles to discuss include the following:
- B. Gebauer, . Inverse Probl. Imaging 2 (2008), no. 2, 251-269.
- B. Haberman and D. Tataru, . Duke Math. J. 162 (2013), no. 3, 497-516.
- M. Lassas and G. Uhlmann, . Ann. Sci. Ecole Norm. Sup. 34 (2001), no. 5, 771-787.
- G. Uhlmann and A. Vasy, . Preprint (2012), arXiv:1210.2084.
The programme is as follows:
Date
Speaker
09.10.
Mikko Salo: introduction to selected articles
16.10
Andoni GarcÃa: Uniqueness in Calderón's problem with Lipschitz conductivities
23.10
Andoni GarcÃa: Uniqueness in Calderón's problem with Lipschitz conductivities
30.10
Andoni GarcÃa: Uniqueness in Calderón's problem with Lipschitz conductivities
06.11
Andoni GarcÃa: Uniqueness in Calderón's problem with Lipschitz conductivities
13.11
Joonas Ilmavirta: On determining a Riemannian manifold from boundary measurements
20.11
Joonas Ilmavirta: On determining a Riemannian manifold from boundary measurements
27.11
Henri Lipponen: On determining a Riemannian manifold from boundary measurements
15.01
Tommi Brander: Localized potentials in electrical impedance tomography
22.01
Manas Kar: Localized potentials in electrical impedance tomography
29.01
Tommi Brander: Localized potentials in electrical impedance tomography
05.02
Manas Kar: Localized potentials in electrical impedance tomography
Lectures
Wed 12-14 and Thu 10-12, room MaD380. The first lecture is Wed 24.09. at 12-14.
Lecturer: . See in the Korppi system.
Lecture notes
Analysis on manifolds lecture notes (updated 10.12.) More or less complete version, though still rough.
Questions
Questions #1 (discussion 08.10.)
Questions #2 (discussion 22.10.)
Questions #3 (discussion 19.11.)
Exercises
Exercise set (return written answers by 27.11.)
Seminars
Seminar schedule (seminars on 26.11. and 03.-04.12.)
Course description
This course is an introduction to analysis on manifolds. The topic may be viewed as an extension of multivariable calculus from the usual setting of Euclidean space to more general spaces, namely Riemannian manifolds. These spaces have enough structure so that they support a very rich theory for analysis and differential equations, and they also form a large class of nice metric spaces where distances are realized by geodesic curves.
The first half of the course will begin with a review of multivariable calculus in Euclidean space, and will then present corresponding notions on Riemannian manifolds. Geodesic curves, the Laplace operator and differential equations will also be covered.
The second half of the course intends to give a flavor of more advanced topics, such as Morse theory and Hodge theory (describe the topology of a space through analysis), conformal and quasiconformal mappings on manifolds, lower bounds for Ricci curvature and applications, inverse problems on manifolds (geodesic ray transform), Ricci flow and Perelman’s solution of the Poincaré conjecture.
Multivariable calculus and functional analysis are prerequisites for the course, and familiarity with smooth or Riemannian manifolds is helpful but not strictly necessary.
The inverse problems reading group in Fall 2014 will meet on Wednesdays at 10.15–11.15 in room MaD245. This fall we will start by going through some basic results related to unique continuation for elliptic PDEs. The idea is to try to understand the ideas of the methods in simple cases. The reading group also provides a place to discuss the current affairs of the inverse problems group.
Notes on unique continuation (23.10.) Warning: rough draft, may contain mistakes, will be updated gradually.
Possible topics for the fall include:
- PDE with real-analytic coefficients (Holmgren's theorem)
- L^2 Carleman inequalities
- Doubling/three spheres inequalities
- Frequency function method
- L^p Carleman estimates
- The 2D case
- Counterexamples to unique continuation
- Pseudoconvexity for general operators
- Nonlinear equations
The programme is as follows; it will be specified gradually during the fall.
Date
Speaker and topic
24.9.
Mikko Salo: Overview
1.10.
Ilmavirta/Lehtonen: Holmgren's theorem
8.10.
Ilmavirta/Lehtonen: Elliptic PDEs with real-analytic coefficients
15.10.
Brander/Kar/Potenciano: L^2 Carleman inequalities I
22.10.
Brander/Kar/Potenciano: L^2 Carleman inequalities II
29.10.
Brander/Kar/Potenciano: L^2 Carleman inequalities III
5.11.
Changyu Guo: Unique continuation in 2D
12.11.
Tony Liimatainen: Strong unique continuation
19.11.
Vesa Julin: Quantitative unique continuation
26.11.
Leyter Potenciano: Inverse problems on manifolds I
03.12.
Tommi Brander: Inverse problems on manifolds II
References for topics
Holmgren's theorem:
- F. John, Partial differential equations (Section 3.5), 4th edition, Springer-Verlag, 1982.
- L. Hörmander, The analysis of linear partial differential operators, vol. 1 (Section 8.6).
- F. Treves, Basic linear partial differential equations (Section II.21), Academic Press, 1975.
L^2 Carleman inequalities:
- L. Hörmander, The analysis of linear partial differential operators, vol. 3 (Section 17.2).
- L. Hörmander, The analysis of linear partial differential operators, vol. 4 (Chapter 28).
- C. Kenig, CNA summer school lecture notes, .
- N. Lerner, Carleman inequalities (lecture notes), .
- J. Le Rousseau and G. Lebeau, On Carleman estimates for elliptic and parabolic operators (lecture notes), .
- D. Tataru, Carleman estimates (unfinished lecture notes), .
- D. Tataru, Unique continuation for PDEs (short expository note), .
Doubling/three spheres inequalities, frequency function method:
- G. Alessandrini, L. Rondi, E. Rosset, S. Vessella, The stability for the Cauchy problem for elliptic equations, .
- N. Garofalo, F. Lin, Monotonicity properties of variational integrals, A_p weights and unique continuation, Indiana U Math J, 1986.
- N. Garofalo, F. Lin, Unique continuation for elliptic operators: A geometric-variational approach, CPAM, 1987.
- N. Marola, S. Granlund, On a frequency function approach to the unique continuation principle, .
L^p Carleman inequalities:
- C. Sogge, Fourier integrals in classical analysis (Section 5.1), Cambridge University Press, 1993.
Nonlinear equations:
- S. Armstrong, L. Silvestre, Unique continuation for fully nonlinear elliptic equations, .
.
The 18th Inverse Days will be held on December 17-19, 2012, in Jyväskylä in Finland. The conference venue is auditorium MaD259 at the Department of Mathematics and Statistics, , situated on the Mattilanniemi campus.
The Inverse Days conference is the annual meeting of the , and is part of the activity of the .
Programme
See the schedule and list of abstracts. The scientific programme begins on Monday 17 December at 13.15, and the conference ends on Wednesday 19 December at 15.00. The conference events will take place in the following locations (see ):
Conference rooms: MaD259 and MaD302 in the second and third floors of the , address Ahlmaninkatu 2, Jyväskylä.
Lunch: in the MaA building just next MaD.
Sauna event and dinner: , address Siltakatu 25, Jyväskylä (bus transportation is provided).
Conference dinner: located 100 m away from the MaD building, address Ahlmaninkatu 4, Jyväskylä.
Presentations
All presentations will have a total length of 30 minutes, with 25 minutes for the talk and 5 minutes for questions. The conference rooms are equipped with computer projectors, overhead projectors and blackboards. The titles and abstracts for the talks should be sent by email to Francis Chung (fjchung 'at' gmail.com). The email should include the speaker's name, institution, and title of talk. The abstract should be in TeX, text or pdf format.
Registration
The registration for the conference is now closed. The conference fee is 160 EUR and it includes conference material, lunches and coffee breaks on Monday, Tuesday and Wednesday, sauna and dinner on Monday, and conference dinner on Tuesday. All registered participants are asked to pay the conference fee (160 EUR) to the following bank account:
- Account owner: Suomen inversioseura
- IBAN number: FI72 1012 3000 2079 18
- SWIFT/BIC code: NDEAFIHH
- Reference number (viitenumero): members of the Finnish Inverse Problems Society may use their personal number found on , and others may use '500 5'.
Bank transfer as described above is the preferred method for paying the conference fee, but it is also possible to pay in cash at the conference venue.
List of participants
See this webpage.
Contact
Questions about the conference may be sent to the following email address: inversedays2012 'at' gmail.com.
Accommodation
The participants are requested to arrange their own accommodation.
- . This hotel is on the Mattilanniemi campus, only 100 m from the conference venue and 1500 m from downtown. The conference dinner is also at Hotel Alba. Tel. +358 (0)14 636 311, Fax +358 (0) 14 636 300, info@hotellialba.fi.
- . Tel. +358 (0)20 1234 640, Fax +358 (0)10 7851 003, alexandra.jyvaskyla@sokoshotels.fi.
- . Tel. +358 (0)14 653 211, Fax: +358 (0)14 653 299, jyvaskyla.cumulus@restel.fi.
- . Tel. +358 (0)14 3377 900, Fax +358 (0)14 631 927, info@hotellimilton.com.
- . This hotel has no reception. Bookings through the website only.
Transportation
The conference venue is the MaD building at Ahlmaninkatu 2 on the Mattilanniemi campus, 1500 m from downtown Jyväskylä and from the railway station. It is possible to walk from downtown to the conference venue (see ). Taking a taxi will cost around 10 €, and a bus will cost 3.20 € (local bus 5 goes from downtown to Mattilanniemi, see for bus schedules).
For travelling to Jyväskylä:
- The Jyväskylä airport has flight connections to Helsinki (operated by Flybe) and Tallinn (operated by Estonian Air). There is a between the airport and downtown (8 € each way), and a taxi will cost 40-50 €. Alternatively, it is possible to fly to Helsinki and take a train or bus connection to Jyväskylä. If going by train, goes from Helsinki-Vantaa airport to Tikkurila railway station where will depart from.
- There are several train connections each day between Helsinki and Jyväskylä. The trip takes around three hours, and may involve a change of train in Tampere. Consult (the Finnish railway company) for timetables and prices.
- There are bus connections between Jyväskylä and major cities in Finland. See for timetables and prices.
Sponsors
We gratefully acknowledge financial support from the Finnish Centre of Excellence in Inverse Problems Research and from the Department of Mathematics and Statistics of the Ä¢¹½Ö±²¥.
Home pages of past Inverse Days
- Inverse Days 2005
Participant list (Inverse Days 2012)
List of participants — Matematiikan ja tilastotieteen laitos
Participant
Institution
1.
Samuli Siltanen
University of Helsinki
2.
Janne Tamminen
University of Helsinki
3.
Juan Reyes
University of Helsinki
4.
Lassi Roininen
Sodankylä Geophysical Observatory
5.
Otto Seiskari
Aalto University
6.
Maaria Rantala
University of Helsinki
7.
Mark Hubenthal
Ä¢¹½Ö±²¥
8.
Aku Seppänen
University of Eastern Finland
9.
Marko Vauhkonen
University of Eastern Finland
10.
Tanja Tarvainen
University of Eastern Finland
11.
Joonas Ilmavirta
Ä¢¹½Ö±²¥
12.
Francis Chung
Ä¢¹½Ö±²¥
13.
Stratos Staboulis
Aalto University
14.
Tommi Brander
Ä¢¹½Ö±²¥
15.
Zenith Purisha
University of Helsinki
16.
Mykhaylo Yudytskiy
RICAM
17.
Janne Huttunen
University of Eastern Finland
18.
Lauri Harhanen
Aalto University
19.
Paola Elefante
University of Helsinki
20.
Nuutti Hyvönen
Aalto University
21.
Helle Majander
Aalto University
22.
Matti Leinonen
Aalto University
23.
Kimmo Karhunen
University of Eastern Finland
24.
Antti Nissinen
University of Eastern Finland
25.
Josef Durech
Charles University in Prague
26.
Dinh Liem Nguyen
Ecole Polytechnique
27.
Guo Zhang
Ä¢¹½Ö±²¥
28.
Daniel Gerth
Johannes Kepler University Linz
29.
Mikko Salo
Ä¢¹½Ö±²¥
30.
Felix Lucka
University of Münster
31.
Roland Griesmaier
Universität Leipzig
32.
Arto Julkunen
Astrock Oy
33.
Janne Koponen
University of Eastern Finland
34.
Matti Lassas
University of Helsinki
35.
Marko Järvenpää
Tampere University of Technology
36.
Valery Serov
University of Oulu
37.
Teemu Luostari
University of Eastern Finland
38.
Aki Pulkkinen
University of Eastern Finland
39.
Dong Liu
University of Eastern Finland
40.
Anssi Lehikoinen
University of Eastern Finland
41.
Jussi Toivanen
University of Eastern Finland
42.
Meghdoot Mozumder
University of Eastern Finland
43.
Miren Zubeldia
University of Helsinki
44.
Gerardo Del Muro González
University of Eastern Finland
45.
George Fotopoulus
University of Oulu
46.
Petteri Piiroinen
University of Helsinki
47.
Eemeli Blåsten
University of Helsinki
48.
Mikko Kaasalainen
Tampere University of Technology
49.
Andreas Hauptmann
University of Helsinki
50.
Hanne Kekkonen
University of Helsinki
51.
Antti Kero
Sodankylä Geophysical Observatory
52.
Esa Niemi
University of Helsinki
53.
Marko Laine
Finnish Meteorological Institute
54.
Mikko Orispää
Sodankylä Geophysical Observatory
55.
Andoni Garcia
University of Helsinki
56.
Anu Määttä
Finnish Meteorological Institute
57.
Valter Pohjola
University of Helsinki
58.
Anna Kaasinen
59.
Sarah Hamilton
University of Helsinki
60.
Drossos Gintides
National Technical University of Athens
61.
Pedro Caro
University of Helsinki
62.
Jussi Korpela
63.
Johannes Norberg
Finnish Meteorological Institute
64.
Paulis Sundberg
Eigenor
65.
Mikko Vepsäläinen
Eigenor
66.
Tapio Helin
University of Helsinki
67.
Matti Viikinkoski
68.
Anne Seidel
TU Darmstadt
69.
Pasi Raumonen
Tampere University of Technology
70.
Markku Ã…kerblom
Tampere University of Technology
71.
Sampsa Pursiainen
Aalto University / TUT
72.
Robert Winkler
Karlsruhe Institute of Technology
73.
Matias Dahl
Aalto University
74.
Kim Knudsen
Technical University of Denmark
75.
Teemu Laakso
Tampere University of Technology
76.
Petri Ola
University of Helsinki
77.
Jan Sandhu
University of Oulu
78.
Markus Harju
University of Oulu
79.
Juha-Matti Perkkiö
Aalto University
80.
Ville Kolehmainen
University of Eastern Finland
81.
Jarno Saarimäki
Astrock Oy
82.
Esa Vesalainen
University of Helsinki
83.
Harri Auvinen
University of Helsinki
84.
Antti Solonen
Lappeenranta University of Technology
85.
Hanna Kiili
University of Oulu
86.
Sari Lasanen
University of Oulu
87.
Markku Lehtinen
Sodankylä Geophysical Observatory
88.
Juha Vierinen
Sodankylä Geophysical Observatory
89.
Lassi Päivärinta
University of Helsinki
90.
Yashar Memarian
University of Helsinki
91.
Matti Määttä
University of Helsinki
92.
Roberta Bosi
University of Helsinki