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Dive into the research topics where Nestor Guillen is active.

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Featured researches published by Nestor Guillen.


Milan Journal of Mathematics | 2014

Mean curvature, threshold dynamics, and phase field theory on finite graphs

Yves van Gennip; Nestor Guillen; Braxton Osting; Andrea L. Bertozzi

In the continuum, close connections exist between mean curvature flow, the Allen-Cahn (AC) partial differential equation, and the Merriman-Bence-Osher (MBO) threshold dynamics scheme. Graph analogues of these processes have recently seen a rise in popularity as relaxations of NP-complete combinatorial problems, which demands deeper theoretical underpinnings of the graph processes. The aim of this paper is to introduce these graph processes in the light of their continuum counterparts, provide some background, prove the first results connecting them, illustrate these processes with examples and identify open questions for future study.We derive a graph curvature from the graph cut function, the natural graph counterpart of total variation (perimeter). This derivation and the resulting curvature definition differ from those in earlier literature, where the continuum mean curvature is simply discretized, and bears many similarities to the continuum nonlocal curvature or nonlocal means formulation. This new graph curvature is not only relevant for graph MBO dynamics, but also appears in the variational formulation of a discrete time graph mean curvature flow.We prove estimates showing that the dynamics are trivial for both MBO and AC evolutions if the parameters (the time-step and diffuse interface scale, respectively) are sufficiently small (a phenomenon known as “freezing” or “pinning”) and also that the dynamics for MBO are nontrivial if the time step is large enough. These bounds are in terms of graph quantities such as the spectrum of the graph Laplacian and the graph curvature. Adapting a Lyapunov functional for the continuum MBO scheme to graphs, we prove that the graph MBO scheme converges to a stationary state in a finite number of iterations. Variations on this scheme have recently become popular in the literature as ways to minimize (continuum) nonlocal total variation.


Siam Journal on Mathematical Analysis | 2018

NEUMANN HOMOGENIZATION VIA INTEGRO-DIFFERENTIAL OPERATORS, PART 2: SINGULAR GRADIENT DEPENDENCE

Nestor Guillen; Russell W. Schwab

We continue the program initiated in a previous work, applying integro-differential methods to Neumann homogenization problems. We target the case of linear periodic equations with a singular drift, which includes (with some regularity assumptions) divergence equations with non-conormal oscillatory Neumann conditions. Our analysis focuses on an induced integro-differential homogenization problem on the boundary of the domain. Also, we use homogenization results for regular Dirichlet problems to build barriers for the oscillatory Neumann problem with the singular gradient term. We note that our method allows us to recast some existing results for fully nonlinear Neumann homogenization into this same framework.


arXiv: Analysis of PDEs | 2010

Five lectures on optimal transportation: Geometry, regularity and applications

Nestor Guillen; Robert J. McCann


Archive for Rational Mechanics and Analysis | 2012

Aleksandrov–Bakelman–Pucci Type Estimates for Integro-Differential Equations

Nestor Guillen; Russell W. Schwab


arXiv: Analysis of PDEs | 2010

Regularity for non-local almost minimal boundaries and applications

M. Cristina Caputo; Nestor Guillen


Calculus of Variations and Partial Differential Equations | 2009

Optimal regularity for the Signorini problem

Nestor Guillen


Calculus of Variations and Partial Differential Equations | 2015

On the local geometry of maps with c-convex potentials

Nestor Guillen; Jun Kitagawa


Communications on Pure and Applied Mathematics | 2017

Pointwise Estimates and Regularity in Geometric Optics and Other Generated Jacobian Equations

Nestor Guillen; Jun Kitagawa


arXiv: Analysis of PDEs | 2016

Min-max formulas for nonlocal elliptic operators

Nestor Guillen; Russell W. Schwab


arXiv: Analysis of PDEs | 2017

On

Maria Pia Gualdani; Nestor Guillen

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Jun Kitagawa

University of British Columbia

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Inwon C. Kim

University of California

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Maria Pia Gualdani

University of Texas at Austin

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Chenchen Mou

Georgia Institute of Technology

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M. Cristina Caputo

University of Texas at Austin

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