Feasibility of Nash-Moser iteration for Cheng-Yau-type gradient estimates of nonlinear equations on complete Riemannian manifolds
Bin Shen, Yuhan Zhu

TL;DR
This paper demonstrates the use of Nash-Moser iteration to establish gradient estimates for solutions of generalized nonlinear Poisson equations on complete Riemannian manifolds, extending classical results to broader operators.
Contribution
It introduces a Nash-Moser iteration approach for a wide class of $ abla$-dependent nonlinear equations, generalizing existing gradient estimate techniques.
Findings
Established Cheng-Yau-type gradient estimates for generalized $ abla$-Laplacian equations.
Proved related Harnack inequalities and Liouville theorems.
Covered a broad class of nonlinear operators including $p$-Laplacian and prescribed mean curvature equations.
Abstract
In this manuscript, we employ the Nash-Moser iteration technique to determine a condition under which the positive solution of the generalized nonlinear Poisson equation on a complete Riemannian manifold with Ricci curvature bounded from below can be shown to satisfy a Cheng-Yau-type gradient estimate. We define a class of -Laplacian operators by , where is a function under some certain growth conditions. This can be regarded as a natural generalization of the -Laplacian, the -Laplacian and the exponential Laplacian, as well as having a close connection to the prescribed mean curvature problem. We illustrate the feasibility of applying the Nash-Moser iteration for such Poisson equation to get the…
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Taxonomy
TopicsNumerical methods in inverse problems · Advanced Mathematical Modeling in Engineering · Geometric Analysis and Curvature Flows
