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Related papers: Bi-Laplacians on graphs and networks

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In manifold learning, algorithms based on graph Laplacians constructed from data have received considerable attention both in practical applications and theoretical analysis. In particular, the convergence of graph Laplacians obtained from…

Machine Learning · Computer Science 2011-05-23 Xueyuan Zhou , Mikhail Belkin

Let $(G,c)$ be an infinite network, and let $\mathcal{E}$ be the canonical energy form. Let $\Delta_2$ be the Laplace operator with dense domain in $\ell^2(G)$ and let $\Delta_{\mathcal{E}}$ be the Laplace operator with dense domain in the…

Spectral Theory · Mathematics 2012-03-07 Palle E. T. Jorgensen , Erin P. J. Pearse

The dimensionality of kernels for Lindbladian superoperators is of physical interest in various scenarios out of equilibrium, for example in mean-field methods for driven-dissipative spin lattice models that give rise to phase diagrams with…

Quantum Physics · Physics 2025-04-18 Martin Seltmann , Berislav Buca

The purpose of this paper is to develop a "calculus" on graphs that allows graph theory to have new connections to analysis. For example, our framework gives rise to many new partial differential equations on graphs, most notably a new…

Discrete Mathematics · Computer Science 2007-05-23 Joel Friedman , Jean-Pierre Tillich

In this paper we generalise the results on eigenvalues and eigenvectors of unnormalized (combinatorial) Laplacian of two-dimensional grid presented by Edwards:2013 first to a grid graph of any dimension, and second also to other types of…

Classical Analysis and ODEs · Mathematics 2019-09-02 Mieczysław A. Kłopotek

In this work, we investigate the spectral problem $Au = {\lambda}u$ where $A$ is a fractional elliptic operator involving left- and right-sided Riemann-Liouville derivatives. These operators are nonlocal and nonsymmetric, however, share…

Analysis of PDEs · Mathematics 2022-12-23 Quanling Deng , Yulong Li

Given i.i.d. observations uniformly distributed on a closed submanifold of the Euclidean space, we study higher-order generalizations of graph Laplacians, so-called Hodge Laplacians on graphs, as approximations of the Laplace-Beltrami…

Statistics Theory · Mathematics 2025-04-07 Jan-Paul Lerch , Martin Wahl

Let G be a finite connected simple graph. We define the moduli space of conformal structures on G. We propose a definition of conformally covariant operators on graphs, motivated by [25]. We provide examples of conformally covariant…

Combinatorics · Mathematics 2014-10-07 Dmitry Jakobson , Thomas Ng , Matthew Stevenson , Mashbat Suzuki

We consider metric graphs with a uniform lower bound on the edge lengths but no further restrictions. We discuss how to describe every local self-adjoint Laplace operator on such graphs by boundary conditions in the vertices given by…

Mathematical Physics · Physics 2018-09-28 Daniel Lenz , Carsten Schubert , Ivan Veselić

This paper is concerned with a parabolic evolution equation of the form $A(u_t) + B(u) = f$, settled in a smooth bounded domain of ${\bf R}^d$, $d \geq 1$, and complemented with the initial conditions and with (for simplicity) homogeneous…

Analysis of PDEs · Mathematics 2023-05-16 Goro Akagi , Giulio Schimperna

The fractional Laplacian operator, $-(-\triangle)^{\frac{\alpha}{2}}$, appears in a wide class of physical systems, including L\'evy flights and stochastic interfaces. In this paper, we provide a discretized version of this operator which…

Statistical Mechanics · Physics 2007-11-12 A. Zoia , A. Rosso , M. Kardar

We develop a theory of ultrametric graphons as limiting objects for random networks with nested hierarchical community structure. A graphon $W:[0,1]^2\to[0,1]$ is called ultrametric if $W(x,y)=w(d(x,y))$, where $d$ is an ultrametric on…

Spectral Theory · Mathematics 2026-05-14 Ángel Alfredo Morán Ledezma

Spectrum graph theory not only facilitate comprehensively reflect the topological structure and dynamic characteristics of networks, but also offer significant and noteworthy applications in theoretical chemistry, network science and other…

Combinatorics · Mathematics 2022-05-04 Jia-Bao Liu , Lu-Lu Fang , Qian Zheng , Xin-Bei Peng

We investigate a class of elliptic and parabolic partial differential equations driven by p(u) laplacian. This dependence necessitates the use of variable exponent Sobolev spaces specifically tailored to the anisotropic framework. For the…

Analysis of PDEs · Mathematics 2025-10-17 Kaushik Bal , Shilpa Gupta

We develop strong and weak maximum principles for boundary-degenerate elliptic and parabolic linear second-order partial differential operators, $Au := -\mathrm{tr}(aD^2u)-<b, Du> + cu$, with partial Dirichlet boundary conditions. The…

Analysis of PDEs · Mathematics 2020-04-24 Paul M. N. Feehan

We consider Laplacian in a planar strip with Dirichlet boundary condition on the upper boundary and with frequent alternation boundary condition on the lower boundary. The alternation is introduced by the periodic partition of the boundary…

Spectral Theory · Mathematics 2015-05-13 D. Borisov , G. Cardone

In our previous works, we introduced, for each (super)manifold, a commutative algebra of densities. It is endowed with a natural invariant scalar product. In this paper, we study geometry of differential operators of second order on this…

Differential Geometry · Mathematics 2017-07-25 H. M. Khudaverdian , Th. Th. Voronov

On finite metric graphs the set of all realizations of the Laplace operator in the edgewise defined $L^2$-spaces are studied. These are defined by coupling boundary conditions at the vertices most of which define non-self-adjoint operators.…

Spectral Theory · Mathematics 2021-04-02 Amru Hussein

If $G$ is a graph, its Laplacian is the difference between diagonal matrix of its vertex degrees and its adjacency matrix. A one-edge connection of two graphs $G_{1}$ and $G_{2}$ is a graph $G=G_{1}\odot G_{2}$ with $V(G)=V(G_{1})\cup…

Combinatorics · Mathematics 2019-09-17 Doost Ali Mojdeh , Mohammad Habibi , Masoumeh Farkhondeh

We study the problem of estimating eigenpairs of elliptic differential operators from samples of a distribution $\rho$ supported on a manifold $M$. The operators discussed in the paper are relevant in unsupervised learning and in particular…

Machine Learning · Statistics 2025-06-03 Nicolás García Trillos , Chenghui Li , Raghavendra Venkatraman