A note on Kurzweil-Henstock's anticipating non-stochastic integral
Motivated by the study of anticipating stochastic integrals using Kurzweil-Henstock approach, we use anticipating interval-point pairs (with the tag as the right-end point of the interval) in studying non-stochastic integral, which we call the Kurzweil-Henstock anticipating non-stochastic integral. We prove the integration-by-parts and integration-by-substitution results, the convergence theorems using our new setting. Using the convergence theorems, we show that the Kurzweil-Henstock's anticipating non-stochastic integral is equivalent to the Lebesgue integral.
Authors
- Tin Lam Toh (ORCID: https://orcid.org/0000-0002-9991-3162)
- Yu Xin Ng
Publication Details
- Journal
- Mathematica Bohemica
- Published
- 2024-12-04
- DOI
- https://doi.org/10.21136/mb.2024.0028-24
- Primary Topic
- Stochastic processes and financial applications
- Type
- article
- Field-Weighted Citation Impact
- 0.00