Anticipative Stochastic Differential Equations with Non-smooth Diffusion Coefficient

(ProQuest: Abstract omitted; see image)[PUBLICATION ABSTRACT]

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Published inActa mathematica Sinica. English series Vol. 22; no. 5; pp. 1473 - 1480
Main Author Liang, Zong Xia
Format Journal Article
LanguageEnglish
Published Heidelberg Springer Nature B.V 01.09.2006
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Abstract (ProQuest: Abstract omitted; see image)[PUBLICATION ABSTRACT]
AbstractList In this paper we prove the existence and uniqueness of the solutions to the one-dimensional linear stochastic differential equation with Skorohod integral X t ( w ) = eta ( w ) + [int] 0 t a s X s ( w ) d \bf W s + [int] 0 t b s X s ( w ) ds , t [isin] [ 0,1 ] , where (W sub( )s is the canonical Wiener process defined on the standard Wiener space ( fancyscript W , , mu ), a is non-smooth and adapted, but eta and b may be anticipating to the filtration generated by (W sub( )s. The intention of the paper is to eliminate the regularity of the diffusion coefficient a in the Malliavin sense, in the existing literature. The idea is to approach the non-smooth diffusion coefficient a by smooth ones.
(ProQuest: Abstract omitted; see image)[PUBLICATION ABSTRACT]
Author Liang, Zong Xia
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Cites_doi 10.1007/BF00353876
10.1007/BF01206230
10.1007/BF01192163
10.1080/17442508408833303
10.1016/0022-1236(74)90017-2
10.1007/BF00341281
10.1007/BF01193054
10.1214/aop/1176989392
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Snippet (ProQuest: Abstract omitted; see image)[PUBLICATION ABSTRACT]
In this paper we prove the existence and uniqueness of the solutions to the one-dimensional linear stochastic differential equation with Skorohod integral X t...
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StartPage 1473
SubjectTerms Calculus
Differential equations
Diffusion coefficient
Hypotheses
INT
Mathematical analysis
Random variables
Regularity
Stochasticity
Uniqueness
Title Anticipative Stochastic Differential Equations with Non-smooth Diffusion Coefficient
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