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We consider solutions of a quasi-linear parabolic PDE with zero oblique boundary data in a bounded domain. Our main result states that the solutions can be approximated by solutions of a PDE in the whole space with a penalizing drift term.…

Analysis of PDEs · Mathematics 2014-03-13 Damon Alexander , Inwon Kim

A new $z$-stretching finite difference method is established for simulating the paraxial light beam propagation through a lens in a cylindrically symmetric domain. By introducing proper domain transformations, we solve corresponding…

Numerical Analysis · Mathematics 2010-06-09 Leonel Gonzalez , Shekhar Guha , James W. Rogers , Qin Sheng

In many practical applications of control theory some constraints on the state and/or on the control need to be imposed. In this paper, we prove controllability results for semilinear parabolic equations under positivity constraints on the…

Optimization and Control · Mathematics 2018-05-16 Dario Pighin , Enrique Zuazua

We establish boundary observability and control for the fractional heat equation over arbitrary time horizons $T > 0$, within the optimal range of fractional exponents $s \in (1/2, 1)$. Our approach introduces a novel synthesis of…

Analysis of PDEs · Mathematics 2025-04-25 Umberto Biccari , Mahamadi Warma , Enrique Zuazua

We obtain new estimates for the solution of both the porous medium and the fast diffusion equations by studying the evolution of suitable Lipschitz norms. Our results include instantaneous regularization for all positive times, long-time…

Analysis of PDEs · Mathematics 2023-09-26 Noemi David , Filippo Santambrogio

We introduce a kinetic formulation for scalar conservation laws with nonlocal and nonlinear diffusion terms. We deal with merely L 1 initial data, general self-adjoint pure jump L{\'e}vy operators, and locally Lipschitz nonlinearities of…

Analysis of PDEs · Mathematics 2019-10-22 Nathaël Alibaud , Boris Andreianov , Adama Ouedraogo

We obtain rates of convergence of numerical approximations of abstract linear parabolic evolution equations in Banach spaces. Our estimates extend known results from the literature of finite element approximations of parabolic equations to…

Numerical Analysis · Mathematics 2024-11-20 Øyvind Stormark Auestad

In this work, we propose to efficiently solve time dependent parametrized optimal control problems governed by parabolic partial differential equations through the certified reduced basis method. In particular, we will exploit an error…

Numerical Analysis · Mathematics 2021-03-10 Maria Strazzullo , Francesco Ballarin , Gianluigi Rozza

In a cylindrical space-time domain with a convex, spatial base, we establish a local Lipschitz estimate for weak solutions to parabolic systems with Uhlenbeck structure up to the lateral boundary, provided homogeneous Dirichlet data are…

Analysis of PDEs · Mathematics 2021-10-19 Verena Bögelein , Frank Duzaar , Naian Liao , Christoph Scheven

We prove better Strichartz type estimates than expected from the (optimal) dispersion we obtained in our earlier work on a 2d convex model. This follows from taking full advantage of the space-time localization of caustics in the parametrix…

Analysis of PDEs · Mathematics 2021-08-23 Oana Ivanovici , Gilles Lebeau , Fabrice Planchon

We consider a class of aggregation-diffusion equations on unbounded one dimensional domains with Lipschitz nonincreasing mobility function. We show strong $L^1$-convergence of a suitable deterministic particle approximation to weak…

Analysis of PDEs · Mathematics 2022-09-23 Sara Daneri , Emanuela Radici , Eris Runa

The optimal time for the controllability of linear hyperbolic systems in one dimensional space with one-side controls has been obtained recently for time-independent coefficients in our previous works. In this paper, we consider linear…

Optimization and Control · Mathematics 2021-03-05 Jean-Michel Coron , Hoai-Minh Nguyen

We prove a Lipschitz extension lemma in which the extension procedure simultaneously preserves the Lipschitz continuity for two non-equivalent distances. The two distances under consideration are the Euclidean distance and, roughly…

Analysis of PDEs · Mathematics 2021-01-27 Laura Caravenna , Gianluca Crippa

Let $E \subset \mathbb R^{n+1}$ be a parabolic uniformly rectifiable set. We prove that every bounded solution $u$ to $$\partial_tu- \Delta u=0, \quad \text{in} \quad \mathbb R^{n+1}\setminus E$$ satisfies a Carleson measure estimate…

Analysis of PDEs · Mathematics 2023-06-28 Simon Bortz , John Hoffman , Steve Hofmann , José Luis Luna Garcia , Kaj Nyström

The problem we consider in this work is to minimize the L^q-norm (q > 2) of the semidiscrete controls. As shown in [LT06], under the main approximation assumptions that the discretized semigroup is uniformly analytic and that the degree of…

Optimization and Control · Mathematics 2011-06-27 Thuy Nguyen

In this paper we study the backward uniqueness for parabolic equations with non-Lipschitz coefficients in time and space. The result presented here improves an old uniqueness theorem due to Lions and Malgrange [Math. Scand. ${\bf 8}$…

Analysis of PDEs · Mathematics 2014-04-30 Daniele Del Santo , Christian Jäh , Marius Paicu

Space and time discretizations of parabolic differential equations with dynamic boundary conditions are studied in a weak formulation that fits into the standard abstract formulation of parabolic problems, just that the usual L^2(\Omega)…

Numerical Analysis · Mathematics 2015-01-09 Balázs Kovács , Christian Lubich

This paper presents an extension of stochastic gradient descent for the minimization of Lipschitz continuous loss functions. Our motivation is for use in non-smooth non-convex stochastic optimization problems, which are frequently…

Optimization and Control · Mathematics 2022-10-05 Michael R. Metel , Akiko Takeda

We bound the modulus of continuity of solutions to quasilinear parabolic equations in one space variable in terms of the initial modulus of continuity and elapsed time. In particular we characterize those equations for which the Lipschitz…

Analysis of PDEs · Mathematics 2013-06-07 Ben Andrews , Julie Clutterbuck

Flow-based methods for sampling and generative modeling use continuous-time dynamical systems to represent a {transport map} that pushes forward a source measure to a target measure. The introduction of a time axis provides considerable…

Machine Learning · Statistics 2025-06-19 Panos Tsimpos , Zhi Ren , Jakob Zech , Youssef Marzouk