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Related papers: Bi-Laplacians on graphs and networks

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Let $L_{A}=-{\rm div}(A\nabla)$ be an elliptic divergence form operator with bounded complex coefficients subject to mixed boundary conditions on an arbitrary open set $\Omega\subseteq\mathbb{R}^{d}$. We prove that the maximal operator…

Functional Analysis · Mathematics 2022-11-23 Andrea Carbonaro , Oliver Dragičević

We study systems of nonlinear partial differential equations of parabolic type, in which the elliptic operator is replaced by the first order divergence operator acting on a flux function, which is related to the spatial gradient of the…

Analysis of PDEs · Mathematics 2021-03-29 Miroslav Bulíček , Josef Málek , Erika Maringová

Algebraic connectivity is one way to quantify graph connectivity, which in turn gauges robustness as a network. In this paper, we consider the problem of maximising algebraic connectivity both local and globally over all simple, undirected,…

Combinatorics · Mathematics 2024-06-11 Karim Shahbaz , Madhu N. Belur , Ajay Ganesh

We consider $2p\ge 4$ order differential operator on the real line with a periodic coefficients. The spectrum of this operator is absolutely continuous and is a union of spectral bands separated by gaps. We define the Lyapunov function,…

Mathematical Physics · Physics 2010-10-07 Andrey Badanin , Evgeny Korotyaev

Recent applications of large network models to machine learning, and to neural network suggest a need for a systematic study of the general correspondence, (i) discrete vs (ii) continuous. Even if the starting point is (i), limit…

Functional Analysis · Mathematics 2019-03-25 Sergey Bezuglyi , Palle E. T. Jorgensen

Learning the graph Laplacian from observed data is one of the most investigated and fundamental tasks in Graph Signal Processing (GSP). Different variants of the Laplacian, such as the combinatorial, signless or signed Laplacians have been…

Signal Processing · Electrical Eng. & Systems 2026-04-02 Stefania Sardellitti

In this paper, we introduce a new higher-order Laplacian operator in the framework of Orlicz-Sobolev spaces, the biharmonic g-Laplacian $$\Delta_g^2 u:=\Delta \left(\dfrac{g(|\Delta u|)}{|\Delta u|} \Delta u\right),$$ where $g=G'$, with $G$…

Analysis of PDEs · Mathematics 2024-11-05 Pablo Ochoa , Analía Silva

Let $A(G)$ and $D(G)$ be the adjacency matrix and the degree diagonal matrix of a graph $G$, respectively. Then $L(G)=D(G)-A(G)$ is called Laplacian matrix of the graph $G$. Let $G$ be a graph with $n$ vertices and $m$ edges. Then the…

Combinatorics · Mathematics 2022-05-26 Zhen Lin , Lianying Miao , Guanglong Yu , Han Sheng

In this partly expository paper we discuss and describe some of our old and recent results on partial orders on the set (m,n)-graphs (i.e. graphs with n vertices and m edges) and some operations on graphs that are monotone with respect to…

Combinatorics · Mathematics 2013-12-24 Alexander Kelmans

Let ${\mathsf D}$ and ${\mathsf H}$ be the self-adjoint, one-dimensional Dirac and Schr\"odinger operators in $L^{2}(\mathbb{R};\mathbb{C}^{2})$ and $L^{2}(\mathbb{R};\mathbb{C})$ respectively. It is well known that, in absence of an…

Mathematical Physics · Physics 2024-09-09 A. Posilicano , L. Reginato

We establish conditions for which graph Laplacians $\Delta_{\lambda,\epsilon}$ on compact, boundaryless, smooth submanifolds $\mathcal{M}$ of Euclidean space are semiclassical pseudodifferential operators ($\Psi$DOs): essentially, that the…

Analysis of PDEs · Mathematics 2022-12-15 Akshat Kumar

Let $G$ be a connected simple graph with $n$ vertices. The distance Laplacian matrix $D^{L}(G)$ is defined as $D^L(G)=Diag(Tr)-D(G)$, where $Diag(Tr)$ is the diagonal matrix of vertex transmissions and $D(G)$ is the distance matrix of $G$.…

Combinatorics · Mathematics 2022-02-18 Saleem Khan , S. Pirzada

We introduce and study Laplacians on a finite metric graph endowed with generalized densities, that is, measures of finite mass. One important motivation is that this setting provides a common framework for several interesting classes of…

Spectral Theory · Mathematics 2025-12-24 Kiyan Naderi , Noema Nicolussi

We establish, for the first time, a Bochner-type integral representation for the logarithmic Laplacian on weighted graphs. Assuming stochastic completeness of the underlying graph, we further derive an explicit pointwise formula for this…

Analysis of PDEs · Mathematics 2025-07-29 Rui Chen , Wendi Xu

Let $L$ be a second order elliptic operator on $R^d$ with a constant diffusion matrix and a dissipative (in a weak sense) drift $b \in L^p_{loc}$ with some $p>d$. We assume that $L$ possesses a Lyapunov function, but no local boundedness of…

Probability · Mathematics 2007-05-23 Vladimir I. Bogachev , Giuseppe Da Prato , Michael Röckner , Zeev Sobol

We consider a generalization of the diffusion equation on graphs. This generalized diffusion equation gives rise to both normal and superdiffusive processes on infinite one-dimensional graphs. The generalization is based on the $k$-path…

Functional Analysis · Mathematics 2017-03-30 Ernesto Estrada , Ehsan Hameed , Naomichi Hatano , Matthias Langer

We demonstrate the existence in the sense of sequences of solutions for some integro-differential type problems involving the drift term and the square of the Laplace operator, on the whole real line or on a finite interval with periodic…

Analysis of PDEs · Mathematics 2025-09-16 Vitali Vougalter

We show that arising out of noncmmutatve geometry is a natural family of {\em edge Laplacians} on the edges of a graph. The family includes a canonical edge Laplacian associated to the graph, extending the usual graph Laplacian on vertices,…

Quantum Algebra · Mathematics 2015-03-17 Shahn Majid

In this paper, we study the graph-theoretic analogues of vector Laplacian (or Helmholtz operator) and vector Laplace equation. We determine the graph matrix representation of vector Laplacian and obtain the dimension of solution space of…

Combinatorics · Mathematics 2023-12-12 Shu Li , Lu Lu , Jianfeng Wang

Quantifying the relations (e.g., similarity) between complex networks paves the way for studying the latent information shared across networks. However, fundamental relation metrics are not well-defined between networks. As a compromise,…

Social and Information Networks · Computer Science 2023-07-21 Yang Tian , Hedong Hou , Guangzheng Xu , Ziyang Zhang , Pei Sun
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