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Related papers: Hamiltonian operator for spectral shape analysis

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The discrete Laplace operator is ubiquitous in spectral shape analysis, since its eigenfunctions are provably optimal in representing smooth functions defined on the surface of the shape. Indeed, subspaces defined by its eigenfunctions have…

Computer Vision and Pattern Recognition · Computer Science 2018-05-15 Yoni Choukroun , Gautam Pai , Ron Kimmel

It is natural to investigate if the quantization of an integrable or superintegrable classical Hamiltonian systems is still integrable or superintegrable. We study here this problem in the case of natural Hamiltonians with constants of…

Mathematical Physics · Physics 2017-04-26 Claudia Maria Chanu , Luca Degiovanni , Giovanni Rastelli

We present the construction of a physical Hamiltonian operator in the deparametrized model of loop quantum gravity coupled to a free scalar field. This construction is based on the use of the recently introduced curvature operator, and on…

General Relativity and Quantum Cosmology · Physics 2015-06-25 Emanuele Alesci , Mehdi Assanioussi , Jerzy Lewandowski , Ilkka Mäkinen

We demonstrate that quantum Hamiltonian operator for a free transverse field within the framework of the second quantization reveals an alternative set of states satisfying the eigenstate functional equations. The construction is based upon…

Mathematical Physics · Physics 2015-12-15 T. A. Bolokhov

The use of Laplacian eigenfunctions is ubiquitous in a wide range of computer graphics and geometry processing applications. In particular, Laplacian eigenbases allow generalizing the classical Fourier analysis to manifolds. A key drawback…

Graphics · Computer Science 2017-11-03 Simone Melzi , Emanuele Rodolà , Umberto Castellani , Michael M. Bronstein

The Laplace-Beltrami operator has established itself in the field of non-rigid shape analysis due to its many useful properties such as being invariant under isometric transformation, having a countable eigensystem forming an orthornormal…

Computer Vision and Pattern Recognition · Computer Science 2025-08-25 Oguzhan Yigit , Richard C. Wilson

Evaluating the similarity of non-rigid shapes with significant partiality is a fundamental task in numerous computer vision applications. Here, we propose a novel axiomatic method to match similar regions across shapes. Matching similar…

Computer Vision and Pattern Recognition · Computer Science 2022-07-08 David Bensaïd , Amit Bracha , Ron Kimmel

We derive a numerical approximation of the Laplace-Beltrami operator on compact surfaces embedded in $\mathbb{R}^3$ with an axial symmetry. To do so we use a noncommutative Laplace operator defined on the space of finite dimensional…

Numerical Analysis · Mathematics 2025-12-01 Damien Tageddine , Jean-Christophe Nave

This work addresses the Hamiltonian dynamics of the Kepler problem in a deformed phase space, by considering the equatorial orbit. The recursion operators are constructed and used to compute the integrals of motion. The same investigation…

Mathematical Physics · Physics 2021-09-07 Mahouton Norbert Hounkonnou , Mahougnon Justin Landalidji

Eigenanalysis of differential operators, such as the Laplace operator or elastic energy Hessian, is typically restricted to a single shape and its discretization, limiting reduced order modeling (ROM). We introduce the first eigenanalysis…

Graphics · Computer Science 2025-05-14 Yue Chang , Otman Benchekroun , Maurizio M. Chiaramonte , Peter Yichen Chen , Eitan Grinspun

We consider the Laplace-Beltrami operator in tubular neighbourhoods of curves on two-dimensional Riemannian manifolds, subject to non-Hermitian parity and time preserving boundary conditions. We are interested in the interplay between the…

Mathematical Physics · Physics 2015-05-18 David Krejcirik , Petr Siegl

Second order supersymmetric approach is taken to the system describing motion of a quantum particle in a potential endowed with position-dependent effective mass. It is shown that the intertwining relations between second order partner…

Quantum Physics · Physics 2008-11-26 A. Ganguly , L. M. Nieto

In this paper we set up a general formalism to deal with quantum theories on a Lobatchevski space, i.e. a spatial manifold that is homogeneous, isotropic and has negative curvature. The heart of our approach is the construction of a…

High Energy Physics - Theory · Physics 2008-11-26 Ugo Moschella , Richard Schaeffer

This paper is concerned with the construction of discrete counterparts of the Laplace-Beltrami operator on Riemannian manifolds that can be effectively used in the numerical solution of partial differential equations. Since existing…

Numerical Analysis · Mathematics 2026-04-09 Mihai Bucataru , Dragoş Manea

For nonrelativistic Hamiltonians which are shape invariant, analytic expressions for the eigenvalues and eigenvectors can be derived using the well known method of supersymmetric quantum mechanics. Most of these Hamiltonians also possess…

High Energy Physics - Theory · Physics 2009-10-31 A. Gangopadhyaya , J. V. Mallow , C. Rasinariu , U. P. Sukhatme

In this paper a non-relativistic particle moving on a hypersurface in a curved space and the multidimensional rotator are investigated using the Hamilton-Jacobi formalism. The equivalence with the Dirac Hamiltonian formalism is demonstrated…

High Energy Physics - Theory · Physics 2008-11-26 Dumitru Baleanu , Yurdahan Guler

In this paper, we consider a certain convolutional Laplacian for metric measure spaces and investigate its potential for the statistical analysis of complex objects. The spectrum of that Laplacian serves as a signature of the space under…

Statistics Theory · Mathematics 2022-04-14 Gilles Mordant , Axel Munk

We study Laplace-type operators on hybrid manifolds, i.e. on configurations consisting of closed two-dimensional manifolds and one-dimensional segments. Such an operator can be constructed by using the Laplace-Beltrami operators on each…

Mathematical Physics · Physics 2011-06-13 Konstantin Pankrashkin , Svetlana Roganova , Nader Yeganefar

A fundamental tool in shape analysis is the virtual embedding of the Riemannian manifold describing the geometry of a shape into Euclidean space. Several methods have been proposed to embed isometric shapes in flat domains while preserving…

Graphics · Computer Science 2013-10-17 Alon Shtern , Ron Kimmel

Representing a signal as a linear combination of a set of basis functions is central in a wide range of applications, such as approximation, de-noising, compression, shape correspondence and comparison. In this context, our paper addresses…

Graphics · Computer Science 2024-09-23 G. Patanè
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