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We discuss Laplacians on graphs in a framework of regular Dirichlet forms. We focus on phenomena related to unboundedness of the Laplacians. This includes (failure of) essential selfadjointness, absence of essential spectrum and stochastic…

Functional Analysis · Mathematics 2011-01-18 Matthias Keller , Daniel Lenz

We consider criteria for the differentiability of functions with continuous Laplacian on the Sierpinski Gasket and its higher-dimensional variants $SG_N$, $N>3$, proving results that generalize those of Teplyaev. When $SG_N$ is equipped…

Classical Analysis and ODEs · Mathematics 2020-12-02 Luke Brown , Giovanni Ferrer , Gamal Mograby , Luke G. Rogers , Karuna Sangam

This paper concerns the shape optimization problem of minimizing the ground state energy of the magnetic Dirichlet Laplacian with constant magnetic field among three-dimensional domains of fixed volume. In contrast to the two-dimensional…

Mathematical Physics · Physics 2025-11-14 Matthias Baur

This paper defines a symplectic form on the infinite dimensional Fr\'echet manifold of framed curves of fixed length over a simply connected Riemannian manifold of constant curvature. The paper then considers Hamiltonian systems generated…

Symplectic Geometry · Mathematics 2007-08-10 Velimir Jurdjevic

The Dirac equation is solved for triangular and hexagonal graphene quantum dots for different boundary conditions in the presence of a perpendicular magnetic field. We analyze the influence of the dot size and its geometry on their energy…

Mesoscale and Nanoscale Physics · Physics 2015-06-03 M. Zarenia , A. Chaves , G. A. Farias , F. M. Peeters

We study the first order structure of $L^2$-differential one-forms on the Sierpi\'{n}ski gasket. We consider piecewise energy finite functions related to one-forms, normal parts, and show self-similarity properties of one-forms as in the…

Functional Analysis · Mathematics 2025-06-11 Waldemar Schefer

We construct good $p$-energy forms on metric measure spaces as pointwise subsequential limits of Besov-type $p$-energy functionals under certain geometric/analytic conditions. Such forms are often called Korevaar-Schoen $p$-energy forms in…

Functional Analysis · Mathematics 2024-10-01 Naotaka Kajino , Ryosuke Shimizu

For a certain domain $\Omega$ in the Sierpinski gasket $\mathcal{SG}$ whose boundary is a line segment, a complete description of the eigenvalues of the Laplacian, with an exact count of dimensions of eigenspaces, under the Dirichlet and…

Functional Analysis · Mathematics 2013-06-11 Hua Qiu

Some existence results for a parametric Dirichlet problem defined on the Sierpi\'nski fractal are proved. More precisely, a critical point result for differentiable functionals is exploited in order to prove the existence of a well…

Analysis of PDEs · Mathematics 2016-08-30 Massimiliano Ferrara , Giovanni Molica Bisci , Dušan Repovš

We define sets with finitely ramified cell structure, which are generalizations of p.c.f. self-similar sets introduced by Kigami and of fractafolds introduced by Strichartz. In general, we do not assume even local self-similarity, and allow…

Probability · Mathematics 2018-06-29 Alexander Teplyaev

We study integral kernels of strongly continuous semigroups on Lebesgue spaces over metric measure spaces. Based on semigroup smoothing properties and abstract Morrey-type inequalities, we give sufficient conditions for H\"older or…

Functional Analysis · Mathematics 2024-01-18 Patrizio Bifulco , Delio Mugnolo

We present a new method to approximate the Neumann spectrum of a Laplacian on a fractal K in the plane as a renormalized limit of the Neumann spectra of the standard Laplacian on a sequence of domains that approximate K from the outside.…

Analysis of PDEs · Mathematics 2009-10-11 Tyrus Berry , Steven M. Heilman , Robert S. Strichartz

Under certain continuity conditions, we estimate upper and lower box dimension of graph of a function defined on the Sierpinski gasket. We also give an upper bound for Hausdorff dimension and box dimension of graph of function having finite…

Functional Analysis · Mathematics 2020-10-06 S. Verma , A. Sahu

The spectral properties of the restricted fractional Laplacian with Dirichlet boundary conditions in a smoothly bent waveguide is investigated. The existence of eigenvalues below the threshold of the continuous spectrum is proved,…

Spectral Theory · Mathematics 2025-11-25 Fedor Bakharev , Sergey Matveenko

The main purpose of this paper is to address some questions concerning boundary value problems related to the Laplacian and bi-Laplacian operators, set in the framework of classical $H^s$ Sobolev spaces on a bounded Lipschitz domain of R^N.…

Analysis of PDEs · Mathematics 2023-06-06 Cherif Amrouche , Mohand Moussaoui

We study boundary value problems for harmonic functions on certain domains in the level-$l$ Sierpinski gaskets $\mathcal{SG}_l$($l\geq 2$) whose boundaries are Cantor sets. We give explicit analogues of the Poisson integral formula to…

Analysis of PDEs · Mathematics 2017-02-10 Shiping Cao , Hua Qiu

The Laplacian energy of a graph is the sum of the distances of the eigenvalues of the Laplacian matrix of the graph to the graph's average degree. The maximum Laplacian energy over all graphs on $n$ nodes and $m$ edges is conjectured to be…

Combinatorics · Mathematics 2017-04-05 Christoph Helmberg , Vilmar Trevisan

The Dirichlet Principle is an approach to solving the Dirichlet problem by means of a Dirichlet energy integral. It is part of the folklore of mathematics that the genesis of this argument was motivated by physical analogy involving…

History and Overview · Mathematics 2026-02-03 Steven Deckelman

Spectral graph signal processing is traditionally built on self-adjoint Laplacians, where orthogonal eigenbases yield an energy-preserving Fourier transform and a variational frequency ordering via a real Dirichlet form. Directed networks…

Computational Engineering, Finance, and Science · Computer Science 2026-03-05 Chandrasekhar Gokavarapu , Komala Lakshmi Chinnam

The graph Laplacian plays key roles in information processing of relational data, and has analogies with the Laplacian in differential geometry. In this paper, we generalize the analogy between graph Laplacian and differential geometry to…

Machine Learning · Statistics 2022-08-17 Shota Saito , Danilo P Mandic , Hideyuki Suzuki
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