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Gradient descent is the primary workhorse for optimizing large-scale problems in machine learning. However, its performance is highly sensitive to the choice of the learning rate. A key limitation of gradient descent is its lack of natural…

最优化与控制 · 数学 2025-07-15 Oscar Smee , Fred Roosta , Stephen J. Wright

We extend results of Dos Santos Ferreira-Kenig-Sjoestrand-Uhlmann (math.AP/0601466) to less smooth coefficients, and we show that measurements on part of the boundary for the magnetic Schroedinger operator determine uniquely the magnetic…

偏微分方程分析 · 数学 2007-05-23 Kim Knudsen , Mikko Salo

In the first section we provide a solution to the M. G. Krein problem about an inner description of the space $L_2(\Sigma,H).$ In the second section we introduce the multiplicity function for an operator measure. Making use of the…

谱理论 · 数学 2007-05-23 Mark M. Malamud , Semen M. Malamud

Motivated by a constrained minimization problem, it is studied the gradient flows with respect to Hessian Riemannian metrics induced by convex functions of Legendre type. The first result characterizes Hessian Riemannian structures on…

最优化与控制 · 数学 2018-11-27 Felipe Alvarez , Jérôme Bolte , Olivier Brahic

Consider the variation seminorm of the Ornstein-Uhlenbeck semigroup $H_t$ in dimension one, taken with respect to $t$. We show that this seminorm defines an operator of weak type $(1,1)$ for the relevant Gaussian measure. The analogous…

泛函分析 · 数学 2024-05-02 Valentina Casarino , Paolo Ciatti , Peter Sjögren

We construct a non-local Benamou-Brenier-type transport distance on the space of stationary point processes and analyse the induced geometry. We show that our metric is a specific variant of the transport distance recently constructed in…

概率论 · 数学 2025-04-17 Martin Huesmann , Hanna Stange

We consider properties of second-order operators $H = -\sum^d_{i,j=1} \partial_i \, c_{ij} \, \partial_j$ on $\Ri^d$ with bounded real symmetric measurable coefficients. We assume that $C = (c_{ij}) \geq 0$ almost everywhere, but allow for…

偏微分方程分析 · 数学 2014-01-03 A. F. M. ter Elst , Derek W. Robinson , Adam Sikora , Yueping Zhu

In this paper we introduce the notion of distributional $k$-Hessian associated with Besov type functions in Euclidean $n$-space, $k=2,\ldots,n$. Particularly, inspired by recent work of Baer and Jerison on distributional Hessian…

偏微分方程分析 · 数学 2018-04-04 Qiang Tu , Wenyi Chen

In this paper, we studied integrals involving both real and complex Hessian operators over bounded domain. Poincare type inequalities were proved in both cases which generalized a early results of Trudinger and Wang.

复变函数 · 数学 2009-05-25 Zuoliang Hou

In this paper, we prove some rigidity theorems for the entire 2-convex solutions of 2-Hessian equation in Euclidean space. As an application, we obtain a Bernstein type theorem for global special Lagrangian graphs.

偏微分方程分析 · 数学 2018-11-20 Li Chen , Ni Xiang

Let $H$ be a Hilbert space. We investigate the properties of weak limit points of iterates of random projections onto $K\geq 2$ closed convex sets in $H$ and the parallel properties of weak limit points of residuals of random greedy…

泛函分析 · 数学 2021-12-10 Petr A. Borodin , Eva Kopecka

New results on the convexity of geodesic-length functions on Teichm\"{u}ller space are presented. A formula for the Hessian of geodesic-length is presented. New bounds for the gradient and Hessian of geodesic-length are described. A…

微分几何 · 数学 2007-05-23 Scott A. Wolpert

We prove convergence of a sequence of weak solutions of the nonlocal Cahn-Hilliard equation to the strong solution of the corresponding local Cahn-Hilliard equation. The analysis is done in the case of sufficiently smooth bounded domains…

偏微分方程分析 · 数学 2023-12-22 Helmut Abels , Christoph Hurm

We derive new gradient flows of divergence functions in the probability space embedded with a class of Riemannian metrics. The Riemannian metric tensor is built from the transported Hessian operator of an entropy function. The new gradient…

信息论 · 计算机科学 2019-05-15 Wuchen Li , Lexing Ying

We prove that $L^2$ weak solutions to hypoelliptic equations with bounded measurable coefficients are H\"older continuous. The proof relies on classical techniques developed by De Giorgi and Moser together with the averaging lemma and…

偏微分方程分析 · 数学 2015-06-22 Cyril Imbert , Clément Mouhot

We construct Gaussian invariant measures for the two-dimensional Euler equation on the plane. We show the existence of solution with initial conditions in the support of the measures, namely $H^\beta_{loc}(\R^2)$ with $\beta<-1$. Uniqueness…

偏微分方程分析 · 数学 2017-11-21 Ana Bela Cruzeiro , Alexandra Symeonides

The main result (roughly) is that if (H_i) converges weakly to H and if also f(H_i) converges weakly to f(H), for a single strictly convex continuous function f, then (H_i) must converge strongly to H. One application is that if f(pr(H)) =…

泛函分析 · 数学 2017-06-09 Lawrence G. Brown

We associate certain probability measures on $\R$ to geodesics in the space $\H_L$ of positively curved metrics on a line bundle $L$, and to geodesics in the finite dimensional symmetric space of hermitian norms on $H^0(X, kL)$. We prove…

微分几何 · 数学 2009-07-13 Bo Berndtsson

We propose to study the Hessian metric of a functional on the space of probability measures endowed with the Wasserstein $2$-metric. We name it transport Hessian metric, which contains and extends the classical Wasserstein-$2$ metric. We…

微分几何 · 数学 2021-08-02 Wuchen Li

The main result of the paper is on the continuity of weak solutions of infinitely degenerate quasilinear second order equations. Namely, we show that every weak solution to a certain class of degenerate quasilinear equations is continuous.…

偏微分方程分析 · 数学 2014-02-05 Lyudmila Korobenko , Cristian Rios