Axioms (Sep 2023)

Numerical Solution of Nonlinear Backward Stochastic Volterra Integral Equations

  • Mahvish Samar,
  • Edwin Yao Kutorzi,
  • Xinzhong Zhu

DOI
https://doi.org/10.3390/axioms12090888
Journal volume & issue
Vol. 12, no. 9
p. 888

Abstract

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This work uses the collocation approximation method to solve a specific type of backward stochastic Volterra integral equations (BSVIEs). Using Newton’s method, BSVIEs can be solved using block pulse functions and the corresponding stochastic operational matrix of integration. We present examples to illustrate the estimate analysis and to demonstrate the convergence of the two approximating sequences separately. To measure their accuracy, we compare the solutions with values of exact and approximative solutions at a few selected locations using a specified absolute error. We also propose an efficient method for solving a triangular linear algebraic problem using a single integral equation. To confirm the effectiveness of our method, we conduct numerical experiments with issues from real-world applications.

Keywords