English

It\^o Stochastic differentials

Probability 2022-06-30 v5

Abstract

We give an infinitesimal meaning to the symbol dXtdX_t for a continuous semimartingale XX at an instant in time tt. We define a vector space structure on the space of differentials at time tt and deduce key properties consistent with the classical It\^o integration theory. In particular, we link our notion of a differential with It\^o integration via a stochastic version of the Fundamental Theorem of Calculus. Our differentials obey a version of the chain rule, which is a local version of It\^o's lemma. We apply our results to financial mathematics to give a theory of portfolios at an instant in time.

Keywords

Cite

@article{arxiv.2004.03419,
  title  = {It\^o Stochastic differentials},
  author = {John Armstrong and Andrei Ionescu},
  journal= {arXiv preprint arXiv:2004.03419},
  year   = {2022}
}
R2 v1 2026-06-23T14:42:54.572Z