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Related papers: Lipschitz constants to curve complexes

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Let $(E,\overline{\partial}_E,\theta)$ be a stable Higgs bundle of degree $0$ on a compact connected Riemann surface. Once we fix the flat metric $h_{\det(E)}$ on the determinant of $E$, we have the harmonic metrics $h_t$ $(t>0)$ for the…

Differential Geometry · Mathematics 2017-05-17 Takuro Mochizuki

Invariant manifolds are fundamental tools for describing and understanding nonlinear dynamics. In this paper, we present a theory of stable and unstable manifolds for infinite dimensional random dynamical systems generated by a class of…

Dynamical Systems · Mathematics 2019-08-15 Jinqiao Duan , Kening Lu , Bjorn Schmalfuss

An asymptotic formula is found for a Toeplitz determinant with the symbol supported on an arc of the unit circle in the case when the symbol has Fisher-Hartwig singularities.

Functional Analysis · Mathematics 2007-05-23 I. V. Krasovsky

Let $1<p<\infty$. Let $\{T_t\}_{t>0}$ be a noncommutative symmetric diffusion semigroup on a semifinite von Neumann algebra $\mathcal{M}$, and let $\{P_t\}_{t>0}$ be its associated subordinated Poisson semigroup. The celebrated…

Operator Algebras · Mathematics 2024-11-14 Zhenguo Wei , Hao Zhang

We consider one of the most important problems in directional statistics, namely the problem of testing the null hypothesis that the spike direction $\theta$ of a Fisher-von Mises-Langevin distribution on the $p$-dimensional unit…

Statistics Theory · Mathematics 2019-03-05 Davy Paindaveine , Thomas Verdebout

Recently, in the metric spaces, Le Donne and the author introduced the so-called intrinsically Lipschitz sections. The main aim of this note is to adapt Cheeger theory for the classical Lipschitz constants in our new context. More…

Differential Geometry · Mathematics 2022-07-28 Daniela Di Donato

This paper establishes a general topological condition under which the semilocal stability of a set-valued mapping can be exactly determined by its local stability properties. Specifically, we investigate the relationship between the…

Optimization and Control · Mathematics 2026-03-12 J. Camacho

The purpose of this paper is to explore the asymptotics of the eigenvalue spectrum of the Laplacian on 2 dimensional spaces of constant curvature, giving strong experimental evidence for a conjecture of the second author…

Analysis of PDEs · Mathematics 2018-09-25 Timothy Murray , Robert S. Strichartz

We obtain global and local theorems on the existence of invariant manifolds for perturbations of non autonomous linear differential equations assuming a very general form of dichotomic behavior for the linear equation. Besides some new…

Dynamical Systems · Mathematics 2013-10-03 António J. G. Bento , César M. Silva

In this paper, we study the Lipschitz continuous dependence of conservative H\"older continuous weak solutions to a variational wave system derived from a model for nematic liquid crystals. Since the solution of this system generally forms…

Analysis of PDEs · Mathematics 2023-04-25 Hong Cai , Geng Chen , Yannan Shen

We give improvements of estimates of invariant metrics in the normal direction on strictly pseudoconvex domains. Specifically we will give the second term in the expansion of the metrics. This depends on an improved localisation result and…

Complex Variables · Mathematics 2017-07-20 Erlend Fornæss Wold

We develop a method for computing all the {\it generalized asymptotes} of a real plane algebraic curve $\cal C$ over $\Bbb C$ implicitly defined by an irreducible polynomial $f(x,y)\in {\Bbb R}[x,y]$. The approach is based on the notion of…

Algebraic Geometry · Mathematics 2014-05-02 Angel Blasco , Sonia Pérez-Díaz

This paper investigates the asymptotic behavior of solutions to the steady pressure-free Prandtl system. By employing a modified von Mises transformation, we rigorously prove the far-field convergence of Prandtl solutions to Blasius flow. A…

Analysis of PDEs · Mathematics 2025-05-13 Chen Gao , Chuankai Zhao

Entropic Brenier maps are regularized analogues of Brenier maps (optimal transport maps) which converge to Brenier maps as the regularization parameter shrinks. In this work, we prove quantitative stability bounds between entropic Brenier…

Probability · Mathematics 2024-04-04 Vincent Divol , Jonathan Niles-Weed , Aram-Alexandre Pooladian

Let $M$ be a $C^{2}$-smooth Riemannian surface. A classical theorem in differential geometry states that the Gauss curvature function $K : M \to \mathbb{R}$ vanishes everywhere if and only if the surface is locally isometric to the…

Differential Geometry · Mathematics 2025-05-30 Matan Eilat

We establish Lipschitz regularity of harmonic maps from $\mathrm{RCD}(K,N)$ metric measure spaces with lower Ricci curvature bounds and dimension upper bounds in synthetic sense with values into $\mathrm{CAT}(0)$ metric spaces with…

Differential Geometry · Mathematics 2023-11-07 Andrea Mondino , Daniele Semola

We derive high-order terms in the asymptotic expansions of the steady-state voltage potentials in the presence of a finite number of diametrically small inhomogeneities with conductivities different from the background conductivity. Our…

Mathematical Physics · Physics 2007-05-23 Habib Ammari , Hyeonbae Kang

We consider the Landau-Lifshitz equations of ferromagnetism (including the harmonic map heat-flow and Schroedinger flow as special cases) for degree m equivariant maps from R^2 to S^2. If m \geq 3, we prove that near-minimal energy…

Analysis of PDEs · Mathematics 2015-05-13 S. Gustafson , K. Nakanishi , T. -P. Tsai

In this paper, we consider the inverse problem of detecting a corrosion coefficient between two layers of a conducting medium from the Neumann-to-Dirichlet map. This inverse problem is motivated by the description of the index of corrosion…

Numerical Analysis · Mathematics 2019-04-08 Bastian Harrach , Houcine Meftahi

In this work, we propose a dissipativity-based method for Lipschitz constant estimation of 1D convolutional neural networks (CNNs). In particular, we analyze the dissipativity properties of convolutional, pooling, and fully connected layers…

Machine Learning · Computer Science 2023-06-21 Patricia Pauli , Dennis Gramlich , Frank Allgöwer