On the geometric Brownian motion with state-dependent variable exponent diffusion term

Fuente: arXiv
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Main Author: Avci, Mustafa
Format: Preprint
Published: 2025
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author Avci, Mustafa
author_facet Avci, Mustafa
contents We propose a new stochastic model involving state-dependent variable exponent $p(\cdot)$ which allows modeling of systems where noise intensity adapts to the current state. This new flexible theoretical framework generalizes both the geometric Brownian motion (GBM) and the Constant-Elasticity-of-Variance (CEV) models. We prove an existence-uniqueness theorem. We obtain an upper-bound approximation for the model-to-model pathwise error between our model and the GBM model as well as test its accuracy through analytical and numerical error estimates. A detailed comparison of the Itô and Stratonovich interpretations for the proposed model is presented in the Appendix.
format Preprint
id arxiv_https___arxiv_org_abs_2508_07130
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle On the geometric Brownian motion with state-dependent variable exponent diffusion term
Avci, Mustafa
Analysis of PDEs
Probability
60G07, 60H15, 60H20, 60H30
We propose a new stochastic model involving state-dependent variable exponent $p(\cdot)$ which allows modeling of systems where noise intensity adapts to the current state. This new flexible theoretical framework generalizes both the geometric Brownian motion (GBM) and the Constant-Elasticity-of-Variance (CEV) models. We prove an existence-uniqueness theorem. We obtain an upper-bound approximation for the model-to-model pathwise error between our model and the GBM model as well as test its accuracy through analytical and numerical error estimates. A detailed comparison of the Itô and Stratonovich interpretations for the proposed model is presented in the Appendix.
title On the geometric Brownian motion with state-dependent variable exponent diffusion term
topic Analysis of PDEs
Probability
60G07, 60H15, 60H20, 60H30
url https://arxiv.org/abs/2508.07130