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In this paper, we show that the infinitesimal Torelli theorem implies the existence of deformations of automorphisms. In the first part, we use Hodge theory and deformation theory to study the deformations of automorphisms of complex…

Algebraic Geometry · Mathematics 2017-03-24 Xuanyu Pan

Lie algebras of systems of $2 g$ graded heat conduction operators $Q_{2k}$, where $k = 0,1, \ldots,2 g-1$, determining sigma functions $\sigma(z, \lambda)$ of genus $g = 1,2$, and $3$ hyperelliptic curves are constructed. As a corollary, it…

Mathematical Physics · Physics 2019-12-02 V. M. Buchstaber , E. Yu. Bunkova

Hypergraphs extend traditional graphs by enabling the representation of N-ary relationships through higher-order edges. Akin to a common approach of deriving graph Laplacians, we define function spaces and corresponding symmetric products…

Differential Geometry · Mathematics 2026-03-27 Jo Andersson Stokke , Ronny Bergmann , Martin Hanik , Christoph von Tycowicz

Topology applied to real world data using persistent homology has started to find applications within machine learning, including deep learning. We present a differentiable topology layer that computes persistent homology based on level set…

An index theory for projective families of elliptic pseudodifferential operators is developed when the twisting, i.e. Dixmier-Douady, class is decomposable. One of the features of this special case is that the corresponding Azumaya bundle…

Differential Geometry · Mathematics 2010-05-07 V. Mathai , R. B. Melrose , I. M. Singer

Techniques from computational topology, in particular persistent homology, are becoming increasingly relevant for data analysis. Their stable metrics permit the use of many distance-based data analysis methods, such as multidimensional…

Algebraic Topology · Mathematics 2021-01-20 Bastian Rieck , Filip Sadlo , Heike Leitte

Topological features capture global geometric structure in imaging data, but practical adoption in deep learning requires both computational efficiency and differentiability. We present optimized GPU kernels for the Euler Characteristic…

Machine Learning · Computer Science 2025-10-24 Udit Saxena

The study of reaction-diffusion systems on networks is of paramount relevance for the understanding of nonlinear processes in systems where the topology is intrinsically discrete, such as the brain. Until now reaction-diffusion systems have…

Pattern Formation and Solitons · Physics 2025-10-22 Lorenzo Giambagli , Lucille Calmon , Riccardo Muolo , Timoteo Carletti , Ginestra Bianconi

Based on matrix perturbation theory, closed-form analytic expansions are studied for a Laplacian eigenvalue of an undirected, possibly weighted graph, which is close to a unique degree in that graph. An approximation is presented to provide…

Spectral Theory · Mathematics 2025-04-29 Piet Van Mieghem , Yingyue Ke

We introduce the first graph kernels for metric graphs via tropical algebraic geometry. In contrast to conventional graph kernels based on graph combinatorics such as nodes, edges, and subgraphs, our metric graph kernels are purely based on…

Machine Learning · Computer Science 2026-01-30 Yueqi Cao , Anthea Monod

By a discrete torus we mean the Cayley graph associated to a finite product of finite cycle groups with generating set given by choosing a generator for each cyclic factor. In this article we study the spectral theory of the combinatorial…

Combinatorics · Mathematics 2009-11-02 G. Chinta , J. Jorgenson , A. Karlsson

We compute the Euler characteristics of the recently discovered series of Gothic Teichm\"{u}ller curves. The main tool is the construction of 'Gothic' Hilbert modular forms vanishing at the images of these Teichm\"{u}ller curves. Contrary…

Algebraic Geometry · Mathematics 2020-10-07 Martin Möller , David Torres-Teigell

The purpose of this article is to establish upper and lower estimates for the integral kernel of the semigroup exp(-tP) associated to a classical, strongly elliptic pseudodifferential operator P of positive order on a closed manifold. The…

Analysis of PDEs · Mathematics 2014-11-04 Heiko Gimperlein , Gerd Grubb

In this paper, we construct the renormalized analytic torsion in the setup of manifold endowed with fibred boundary metrics. The method of construction is to determine the asymptotic of heat kernel, both in short time regime and long time…

Spectral Theory · Mathematics 2021-02-03 Mohammad Talebi

Results regarding off-diagonal Gaussian upper heat kernel bounds on discrete weighted graphs with possibly unbounded geometry are summarized and related. After reviewing uniform upper heat kernel bounds obtained by Carlen, Kusuoka, and…

Analysis of PDEs · Mathematics 2025-02-28 Christian Rose

To address the peculiarities of directed and/or signed graphs, new Laplacian operators have emerged. For instance, in the case of directionality, we encounter the magnetic operator, dilation (which is underexplored), operators based on…

Social and Information Networks · Computer Science 2024-06-04 Bruno Messias Farias de Resende

The study of spectral properties of natural geometric elliptic partial differential operators acting on smooth sections of vector bundles over Riemannian manifolds is a central theme in global analysis, differential geometry and…

Mathematical Physics · Physics 2024-02-19 Ivan G. Avramidi

The main result of this text is a generalization of Perrin-Riou's p-adic Gross-Zagier formula to the case of Shimura curves over totally real fields. Let $F$ be a totally real field. Let $f$ be a Hilbert modular form over $F$ of parallel…

Number Theory · Mathematics 2016-01-27 Li Ma

Dirichlet-to-Neumann maps enable the coupling of multiphysics simulations across computational subdomains by ensuring continuity of state variables and fluxes at artificial interfaces. We present a novel method for learning…

Machine Learning · Computer Science 2026-01-27 Adrienne M. Propp , Jonas A. Actor , Elise Walker , Houman Owhadi , Nathaniel Trask , Daniel M. Tartakovsky

The processing of signals on simplicial and cellular complexes defined by nodes, edges, and higher-order cells has recently emerged as a principled extension of graph signal processing for signals supported on more general topological…

Social and Information Networks · Computer Science 2023-04-04 Lucille Calmon , Michael T. Schaub , Ginestra Bianconi