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Related papers: A Calder\'{o}n Problem for Beltrami Fields

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The character of quantum corrections to the gravitational action of a conformally invariant field theory for a self-interacting scalar field on a manifold with boundary is considered at third loop-order in the perturbative expansion of the…

High Energy Physics - Theory · Physics 2009-11-07 George Tsoupros

We show that the knowledge of the Dirichlet--to--Neumann map for a nonlinear magnetic Schr\"odinger operator on the boundary of a compact complex manifold, equipped with a K\"ahler metric and admitting sufficiently many global holomorphic…

Analysis of PDEs · Mathematics 2021-10-28 Katya Krupchyk , Gunther Uhlmann , Lili Yan

We have constructed a sequence of solutions of the Helmholtz equation forming an orthogonal sequence on a given surface. Coefficients of these functions depend on an explicit algebraic formulae from the coefficient of the surface. Moreover,…

Mathematical Physics · Physics 2010-11-09 P. Cruz , E. L. Lakshtanov

We generalize Turaev's definition of torsion invariants of pairs $(M,\xi)$, where $M$ is a 3-dimensional manifold and $\xi$ is an Euler structure on $M$ (a non-singular vector field up to homotopy relative to the boundary of $M$ and local…

Geometric Topology · Mathematics 2011-01-18 Riccardo Benedetti , Carlo Petronio

We study the spectral properties of curl, a linear differential operator of first order acting on differential forms of appropriate degree on an odd-dimensional closed oriented Riemannian manifold. In three dimensions its eigenvalues are…

Differential Geometry · Mathematics 2019-03-08 Christian Baer

The Laplace-Beltrami operator on (the surface of) a triaxial ellipsoid admits a sequence of real eigenvalues diverging to plus infinity. By introducing ellipsoidal coordinates, this eigenvalue problem for a partial differential operator is…

Classical Analysis and ODEs · Mathematics 2024-07-29 Hans Volkmer

Eigendecomposition of the Laplace-Beltrami operator is instrumental for a variety of applications from physics to data science. We develop a numerical method of computation of the eigenvalues and eigenfunctions of the Laplace-Beltrami…

Numerical Analysis · Mathematics 2022-10-21 Jackson C. Turner , Elena Cherkaev , Dong Wang

Recall that the Hilbert (Riemann-Hilbert) boundary value problem for the Beltrami equations was recently solved for general settings in terms of nontangential limits and principal asymptotic values. Here it is developed a new approach…

Complex Variables · Mathematics 2015-12-07 Vladimir Gutlyanskii , Vladimir Ryazanov , Artem Yefimushkin

We consider Berezin-Toeplitz operators on compact Kahler manifolds whose symbols are characteristic functions. When the support of the characteristic function has a smooth boundary, we prove a two-term Weyl law, the second term being…

Mathematical Physics · Physics 2020-01-08 L. Charles , B. Estienne

This paper investigates the anisotropic Calder\'{o}n problem for a non-local elliptic operator of order 2, on closed Riemannian manifolds. We demonstrate that using the Cauchy data set, we can recover the geometry of a closed Riemannian…

Analysis of PDEs · Mathematics 2025-05-30 Susovan Pramanik

This paper, we define the Mus-Gradient metric on tangent bundle $TM$ by a deformation non-conform of Sasaki metric over an n-dimensional Riemannian manifold $(M, g)$. First we investigate the geometry of the Mus-Gradient metric and we…

Differential Geometry · Mathematics 2023-06-22 Nour Elhouda Djaa , Fethi Latti , Abderrahim Zagane

The $\Pi$-operator, also known as Ahlfors-Beurling transform, plays an important role in solving the existence of locally quasiconformal solutions of Beltrami equations. In this paper, we first construct the $\Pi$-operator on a general…

Complex Variables · Mathematics 2020-06-30 Wanqing Cheng John Ryan

We consider the inverse problem of determining coefficients appearing in semilinear elliptic equations stated on Riemannian manifolds with boundary given the knowledge of the associated Dirichlet-to-Neumann map. We begin with a negative…

Analysis of PDEs · Mathematics 2024-06-18 Ali Feizmohammadi , Yavar Kian , Lauri Oksanen

We construct a tangent bundle exponential map and locally autoparallel coordinates for geometries based on a general connection on the tangent bundle of a manifold. As concrete application we use these new coordinates for Finslerian…

Mathematical Physics · Physics 2016-03-10 Christian Pfeifer

We obtain a complete asymptotic expansion for the eigenvalues of the Dirichlet-to-Neumann maps associated with Schr\"odinger operators on compact Riemannian surfaces with boundary. For the zero potential, we recover the well-known spectral…

Spectral Theory · Mathematics 2021-03-17 Jean Lagacé , Simon St-Amant

We consider the restricted Dirichlet-to-Neumann map $\Lambda^{U,V}_{g,A,q}$ for the wave equation with magnetic potential $A$ and scalar potential $q$, on an admissible Lorentzian manifold $(M, g)$ of dimension $n \geq 3$ with boundary.…

Analysis of PDEs · Mathematics 2025-05-21 Yuchao Yi , Yang Zhang

We study the dynamics generated by return maps associated with nested convex bodies and growing domains satisfying the geometric normal property in the plane. These maps are defined by transporting boundary points along normal directions to…

Dynamical Systems · Mathematics 2026-04-14 Mohamed El Morsalani , Mohammed Barkatou

We employ the relationship between contact structures and Beltrami fields derived in part I of this series to construct steady nonsingular solutions to the Euler equations on a Riemannian $S^3$ whose flowlines trace out closed curves of all…

Mathematical Physics · Physics 2007-05-23 John Etnyre , Robert Ghrist

We show uniqueness results for the anisotropic Calder\'{o}n problem stated on transversally anisotropic manifolds. Moreover, we give a convexity result for the range of Dirichlet-to-Neumann maps on general Riemannian manifolds near the zero…

Analysis of PDEs · Mathematics 2023-06-13 Cătălin I. Cârstea , Ali Feizmohammadi , Lauri Oksanen

Manifold learning methods play a prominent role in nonlinear dimensionality reduction and other tasks involving high-dimensional data sets with low intrinsic dimensionality. Many of these methods are graph-based: they associate a vertex…

Machine Learning · Computer Science 2021-11-16 Joe Kileel , Amit Moscovich , Nathan Zelesko , Amit Singer
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