2008
DOI: 10.1515/rose.2008.018
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Backward doubly stochastic differential equations with non-Lipschitz coefficients

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Cited by 12 publications
(10 citation statements)
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“…Therefore we built a decreasing sequence (T p ) p≥1 such that on each [T p , T p+1 ], GBDSDE associated to the data (Y p+1 , f , g, h) admit a solution. We also prove as like in [16] that there exists a finite p such that T p = 0. Finally by the path continuity of the solution on each interval, we obtain the solution on [0, T ] and end the proof of existence.…”
Section: ) the Proof Is Subdivided Into Four Stepsmentioning
confidence: 75%
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“…Therefore we built a decreasing sequence (T p ) p≥1 such that on each [T p , T p+1 ], GBDSDE associated to the data (Y p+1 , f , g, h) admit a solution. We also prove as like in [16] that there exists a finite p such that T p = 0. Finally by the path continuity of the solution on each interval, we obtain the solution on [0, T ] and end the proof of existence.…”
Section: ) the Proof Is Subdivided Into Four Stepsmentioning
confidence: 75%
“…We emphasize that when g ≡ 0, equation (2.3) becomes the classical backward doubly stochastic equations (BDSDEs, in short) introduit by Pardoux and Peng [17] under Lipschitz generator and recently relax by many authors. We can see in [16], Owo and N'zi's work and references therein.…”
Section: Existence and Uniqueness Resultsmentioning
confidence: 94%
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“…Since then, many authors tried to weaken the conditions for the functions f and and to give more general results. For example, Lin [14], Aman [1], Aman and Owo [2], N'zi and Owo [18,19], Boufoussi, Casteren and Mrhardy [4], Ren, Lin and Hu [26], Hu and Ren [12]. All previous papers deal with BDSDEs which have only the process z in the forward integral, i.e.…”
Section: Introductionmentioning
confidence: 99%