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On the iterative methods of linearization, decrease of order and dimension of the Karman-type PDEs.

A V Krysko1, J Awrejcewicz2, S P Pavlov3

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This study introduces iterative methods to simplify complex eighth-order nonlinear partial differential equations into biharmonic and Poisson-type equations. The developed computer programs validate the reliability of these novel linearization techniques.

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Area of Science:

  • Numerical Analysis
  • Computational Mathematics
  • Applied Mathematics

Background:

  • Nonlinear partial differential equations (PDEs) of high order pose significant challenges in mathematical modeling and simulation.
  • Existing methods for solving these equations often struggle with complexity and computational cost.
  • The biharmonic and Poisson-type equations are fundamental in various scientific and engineering fields.

Purpose of the Study:

  • To propose novel iterative methods for the linearization of eighth-order nonlinear PDEs.
  • To reduce the order and dimension of these complex equations.
  • To transform them into more tractable biharmonic and Poisson-type differential equations.

Main Methods:

  • Development of iterative algorithms for equation linearization.
  • Order and dimension reduction techniques for nonlinear PDEs.
  • Implementation of custom computer programs for validation.

Main Results:

  • Successful linearization of eighth-order nonlinear PDEs into biharmonic and Poisson-type equations.
  • Demonstration of reduced complexity and dimensionality.
  • Validation of the proposed methods' effectiveness and reliability through computational analysis.

Conclusions:

  • The proposed iterative methods offer an efficient approach to handle high-order nonlinear PDEs.
  • The transformation into biharmonic and Poisson-type equations simplifies analysis and computation.
  • The developed computational tools confirm the validity and reliability of the presented techniques.