2015Applicable AnalysisRequires access

Gradient estimates for a simple nonlinear heat equation on manifolds

Li Ma

Open publisher page 4 citations

Abstract

In this paper, we study the gradient estimate for positive solutions to the following nonlinear heat equation problemon the compact Riemannian manifold (M, g) of dimension n and with non-negative Ricci curvature. Here is a constant, V is a smooth function on M with for some positive constant A. This heat equation is a basic evolution equation and it can be considered as the negative gradient heat flow to W-functional (introduced by G.Perelman), which is the Log-Sobolev inequalities on the Riemannian manifold and V corresponds to the scalar curvature.

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What this paper is about

In this paper, we study the gradient estimate for positive solutions to the following nonlinear heat equation problemon the compact Riemannian manifold (M, g) of dimension n and with non-negative Ricci curvature. Here is a constant, V is a smooth function on M with for some positive constant A. This heat equation is a basic evolution equation and it can be considered as the negative gradient heat flow to W-functional (introduced by G.Perelman), which is the Log-Sobolev inequalities on the Riemannian manifold and V corresponds to the scalar curvature.

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Available abstract

In this paper, we study the gradient estimate for positive solutions to the following nonlinear heat equation problemon the compact Riemannian manifold (M, g) of dimension n and with non-negative Ricci curvature. Here is a constant, V is a smooth function on M with for some positive constant A. This heat equation is a basic evolution equation and it can be considered as the negative gradient heat flow to W-functional (introduced by G.Perelman), which is the Log-Sobolev inequalities on the Riemannian manifold and V corresponds to the scalar curvature.

Key concepts: Mathematics, Heat equation, Scalar curvature, Ricci curvature, Riemannian manifold, Mathematical analysis, Constant (computer programming), Sobolev space

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