論文

査読有り
2020年9月

Probability density function of SDEs with unbounded and path-dependent drift coefficient

STOCHASTIC PROCESSES AND THEIR APPLICATIONS
  • Dai Taguchi
  • ,
  • Akihiro Tanaka

130
9
開始ページ
5243
終了ページ
5289
記述言語
英語
掲載種別
研究論文(学術雑誌)
DOI
10.1016/j.spa.2020.03.006
出版者・発行元
ELSEVIER

In this paper, we first prove that the existence of a solution of SDEs under the assumptions that the drift coefficient is of linear growth and path-dependent, and diffusion coefficient is bounded, uniformly elliptic and Holder continuous. We apply Gaussian upper bound for a probability density function of a solution of SDE without drift coefficient and local Novikov condition, in order to use Maruyama-Girsanov transformation. The aim of this paper is to prove the existence with explicit representations (under linear/super-linear growth condition), Gaussian two-sided bound and Holder continuity (under sub-linear growth condition) of a probability density function of a solution of SDEs with path-dependent drift coefficient. As an application of explicit representation, we provide the rate of convergence for an Euler-Maruyama (type) approximation, and an unbiased simulation scheme. (C) 2020 Elsevier B.V. All rights reserved.

リンク情報
DOI
https://doi.org/10.1016/j.spa.2020.03.006
Web of Science
https://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=JSTA_CEL&SrcApp=J_Gate_JST&DestLinkType=FullRecord&KeyUT=WOS:000553446700002&DestApp=WOS_CPL
ID情報
  • DOI : 10.1016/j.spa.2020.03.006
  • ISSN : 0304-4149
  • eISSN : 1879-209X
  • Web of Science ID : WOS:000553446700002

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