Delayed Interval-Valued Symmetric Stochastic Integral Equations

In this paper, delayed stochastic integral equations with an initial condition and a drift coefficient given as interval-valued mappings are considered. These equations have a certain symmetric form that distinguishes them from classical single-valued stochastic integral equations and has implications for the properties of the diameter of the values of the solutions of the equations. The main result of the paper is the theorem that there is a unique solution to the equation considered. It was obtained under the assumptions of continuity of the kernels and Lipschitz continuity of the drift and diffusion coefficients. The proof of the existence of the solution is carried out by the method of iterating successive approximations. The paper ends with theorems about the continuous dependence of the solution on the initial function, kernels and nonlinearities.

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Publication Details

Journal
Symmetry
Published
2024-10-11
DOI
https://doi.org/10.3390/sym16101348
Citations
2
Primary Topic
Fuzzy Systems and Optimization
Type
article
Field-Weighted Citation Impact
1.42
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article

Delayed Interval-Valued Symmetric Stochastic Integral Equations

Marek T. Malinowski
2 citations
Symmetry
Fuzzy Systems and Optimization
1.42
article

Delayed Interval-Valued Symmetric Stochastic Integral Equations

Marek T. Malinowski
article en
2 citations

Abstract

In this paper, delayed stochastic integral equations with an initial condition and a drift coefficient given as interval-valued mappings are considered. These equations have a certain symmetric form that distinguishes them from classical single-valued stochastic integral equations and has implications for the properties of the diameter of the values of the solutions of the equations. The main result of the paper is the theorem that there is a unique solution to the equation considered. It was obtained under the assumptions of continuity of the kernels and Lipschitz continuity of the drift and diffusion coefficients. The proof of the existence of the solution is carried out by the method of iterating successive approximations. The paper ends with theorems about the continuous dependence of the solution on the initial function, kernels and nonlinearities.

SymmetryVol. 16(10)
Cracow University of Technology (PL)
Openalex Percentile: Top 17%
Fuzzy Systems and Optimization
1.42
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