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March 10, 2026Mathematical Methods in the Applied Sciences0 citations

Higher‐Order PDEs With PCGAs: A Multi‐Characteristic Approach

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AAA. T. Assanova

Key Points

  • This research aims to address the unique solvability of higher-order hyperbolic partial differential equations involving piecewise-constant generalized arguments.
  • Transforming the original PDE problems into first-order differential equations
  • Introducing auxiliary unknowns for analysis
  • Applying the parametrization Dzhumabaev method for resolution
  • Developing algorithms for computing solutions on subdomains
  • Established sufficient conditions for the existence and uniqueness of solutions
  • Ensured the convergence of computation algorithms for the parameter-dependent systems
  • Derived conditions for the unique solvability of the initial multi-characteristic problem

Abstract

ABSTRACT This paper addresses a multi‐characteristic problem for a higher‐order hyperbolic partial differential equation with a piecewise‐constant generalized argument. By introducing appropriate auxiliary unknowns, the original formulation is transformed into a parameter‐dependent problems for a system of first‐order differential equations with a piecewise‐constant generalized argument and accompanying integral relations. The analysis and resolution of this auxiliary set of problems are carried out by means of the parametrization Dzhumabaev method. A novel procedure for constructing solutions on subdomains is proposed. Sufficient conditions guaranteeing the existence and uniqueness of solutions to the resulting parameter‐dependent systems with piecewise‐constant generalized argument are established, and algorithms for their computation are developed; their convergence is rigorously justified. On this basis, conditions ensuring the unique solvability of the initial multi‐characteristic problem for higher‐order partial differential equations with piecewise‐constant generalized argument are derived.

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Cite This Study

A. T. Assanova (2026) studied this question.

synapsesocial.com/papers/69af95cf70916d39fea4dd49https://doi.org/10.1002/mma.70618
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