A GENERAL APPROACH TO A PRIORI ESTIMATES OFSOLUTIONS TO NONLINEAR EQUATIONS AND ORDINARYDERIVATIVE INEQUALITIES

This article outlines a general approach to a priori estimates of solutions to nonlinear equations and ordinary derivative inequalities, based on the method of trial functions.This approach covers a fairly wide class of nonlinear problems, for which we study the problem of the absence of nontrivial solutions (see [1]).Our approach is based on a priori estimates.First, we obtain an a priori estimate for the solution of the nonlinear problem under consideration.Then we obtain the asymptotics of this a priori estimate.The proof of the absence of a solution is carried out by contradiction.The derivation of an a priori estimate is based on the trial function method.The optimal choice of the trial function leads to a minimax nonlinear problem, which generates a nonlinear capacitance.To analyze the absence problem, it is enough to obtain an exact estimate of the first term of the asymptotics of this capacity.

Publication Details

Published
2025-01-01
DOI
https://doi.org/10.30546/209501.101.2025.2.1.05
Primary Topic
Advanced Optimization Algorithms Research
Type
article
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article

A GENERAL APPROACH TO A PRIORI ESTIMATES OFSOLUTIONS TO NONLINEAR EQUATIONS AND ORDINARYDERIVATIVE INEQUALITIES

Advanced Optimization Algorithms Research
article

A GENERAL APPROACH TO A PRIORI ESTIMATES OFSOLUTIONS TO NONLINEAR EQUATIONS AND ORDINARYDERIVATIVE INEQUALITIES

article en

Abstract

This article outlines a general approach to a priori estimates of solutions to nonlinear equations and ordinary derivative inequalities, based on the method of trial functions.This approach covers a fairly wide class of nonlinear problems, for which we study the problem of the absence of nontrivial solutions (see [1]).Our approach is based on a priori estimates.First, we obtain an a priori estimate for the solution of the nonlinear problem under consideration.Then we obtain the asymptotics of this a priori estimate.The proof of the absence of a solution is carried out by contradiction.The derivation of an a priori estimate is based on the trial function method.The optimal choice of the trial function leads to a minimax nonlinear problem, which generates a nonlinear capacitance.To analyze the absence problem, it is enough to obtain an exact estimate of the first term of the asymptotics of this capacity.

Reduced inequalities
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Advanced Optimization Algorithms Research
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A GENERAL APPROACH TO A PRIORI ESTIMATES OFSOLUTIONS TO NONLINEAR EQUATIONS AND ORDINARYDERIVATIVE INEQUALITIES · (2025) | TGRS Research Map | TGRS