Discrete Gronwall inequalities for demimartingales
Milto Hadjikyriakou, B.L.S. Prakasa Rao

TL;DR
This paper develops discrete stochastic Gronwall inequalities for demimartingales, extending previous martingale results, and applies these to bound errors in the backward Euler-Maruyama numerical scheme.
Contribution
It introduces new discrete inequalities for demimartingales, generalizing existing martingale inequalities, with an application to numerical scheme error estimation.
Findings
Derived discrete Gronwall inequalities for demimartingales
Extended previous martingale inequalities to a broader class
Provided an a priori error bound for the backward Euler-Maruyama scheme
Abstract
The aim of this work is to obtain discrete versions of stochastic Gronwall inequalities involving demimartingale sequences. The results generalize the respective theorems for martingales provided by Kruse and Scheutzow (2018) and Hendy et al. (2022). Moreover, we present an application which provides an upper bound for the a priori estimate of the backward Euler-Maruyama numerical scheme.
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Taxonomy
TopicsStochastic processes and financial applications · Probability and Risk Models · Insurance, Mortality, Demography, Risk Management
