Methodology of Syntheses of Knowledge: Overcoming Incorrectness of the Problems of Mathematical Modeling
Eugene Perchik (Kharkov, Ukraine)

TL;DR
This paper critiques current numerical methods for ill-posed problems in mathematical physics, proposing a new approach that ensures correctness by leveraging functional space properties and reducing complex problems to well-posed integral equations.
Contribution
It introduces a novel method for solving ill-posed problems, ensuring correctness through functional space techniques and transforming problems into well-posed integral equations.
Findings
New method ensures correctness of solutions
Reduction of complex problems to Fredholm equations of the second kind
Extension to wide classes of boundary-value problems
Abstract
J. Hadamard's ideas of correct formulation of problems of mathematical physics as well as related Banach's theorem on the inverse operator are analyzed. Modern techniques of numerical simulations are shown to be in drastic contradiction to the concepts of J. Hadamard, S. Banach and a number of other outstanding scientists in the sense that the priority is given to the realization of inefficient algorithms, based on a belief that ill-posed problems are adequate to real phenomena. A new method of the solution of problems, traditionally associated with Fredholm integral equations of the first kind, is developed. Its key aspect is a constructive use of possibilities of the functional space to ensure the conditions of correctness. A well-known phenomenon of smoothing of information is taken into account by means of a special composition that explicitly involves the sought function and…
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Taxonomy
TopicsHeat Transfer and Mathematical Modeling · Numerical methods in inverse problems · Mathematical and Theoretical Analysis
