2020年9月
Probability density function of SDEs with unbounded and path-dependent drift coefficient
STOCHASTIC PROCESSES AND THEIR APPLICATIONS
- ,
- 巻
- 130
- 号
- 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
- ID情報
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- DOI : 10.1016/j.spa.2020.03.006
- ISSN : 0304-4149
- eISSN : 1879-209X
- Web of Science ID : WOS:000553446700002