Comparison of two efficient numerical techniques based on Chelyshkov polynomial for solving stochastic Itô-Volterra integral equation

Fuente: arXiv
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Auteurs principaux: Gupta, Reema, Ray, S. Saha
Format: Preprint
Publié: 2023
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author Gupta, Reema
Ray, S. Saha
author_facet Gupta, Reema
Ray, S. Saha
contents In this study, two reliable approaches to solving the nonlinear stochastic Itô-Volterra integral equation are provided. These equations have been evaluated using the orthonormal Chelyshkov spectral collocation technique and the orthonormal Chelyshkov spectral Galerkin method. The techniques presented here transform this problem into a collection of nonlinear algebraic equations that have been numerically solved using the Newton method. Also, the convergence analysis has been studied for both approaches. Two illustrative examples have been provided to show the efficacy, plausibility, proficiency, and applicability of the current approaches.
format Preprint
id arxiv_https___arxiv_org_abs_2312_12445
institution arXiv
publishDate 2023
record_format arxiv
spellingShingle Comparison of two efficient numerical techniques based on Chelyshkov polynomial for solving stochastic Itô-Volterra integral equation
Gupta, Reema
Ray, S. Saha
Numerical Analysis
In this study, two reliable approaches to solving the nonlinear stochastic Itô-Volterra integral equation are provided. These equations have been evaluated using the orthonormal Chelyshkov spectral collocation technique and the orthonormal Chelyshkov spectral Galerkin method. The techniques presented here transform this problem into a collection of nonlinear algebraic equations that have been numerically solved using the Newton method. Also, the convergence analysis has been studied for both approaches. Two illustrative examples have been provided to show the efficacy, plausibility, proficiency, and applicability of the current approaches.
title Comparison of two efficient numerical techniques based on Chelyshkov polynomial for solving stochastic Itô-Volterra integral equation
topic Numerical Analysis
url https://arxiv.org/abs/2312.12445