2011
DOI: 10.1016/j.spa.2010.11.011
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Small-time kernel expansion for solutions of stochastic differential equations driven by fractional Brownian motions

Abstract: The goal of this paper is to show that under some assumptions, for a d-dimensional fractional Brownian motion with Hurst parameter H > 1/2, the density of the solution of the stochastic differential equationUnder the framework of this present work, the Laplace method can be obtained in general hypoelliptic case and without imposing the structure equations on vector fields in Theorem 1.1. These two assumptions are imposed to obtain the correct Riemannian distance in the kernel expansion.Remark 1.3. When H > 1/2… Show more

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Cited by 25 publications
(51 citation statements)
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“…In this final section we give a sufficient condition for our main result (Theorem 2.2) on the off-diagonal asymptotics and compare it with a preceding result by Baudoin and Ouyang (Theorem 1.2, [2]), which is probably the only paper on this kind of problem. Proposition 9.1 Assume (A1) at the starting point a ∈ R n .…”
Section: Proof Of Off-diagonal Short Time Asymptoticsmentioning
confidence: 70%
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“…In this final section we give a sufficient condition for our main result (Theorem 2.2) on the off-diagonal asymptotics and compare it with a preceding result by Baudoin and Ouyang (Theorem 1.2, [2]), which is probably the only paper on this kind of problem. Proposition 9.1 Assume (A1) at the starting point a ∈ R n .…”
Section: Proof Of Off-diagonal Short Time Asymptoticsmentioning
confidence: 70%
“…Second, cancellation of "odd terms" as in p. 20 and p. 34, [21] does not happen in general in our case. (If the drift term in Young ODE (2.1) is zero, then this kind of cancellation takes place as in [1,2]). …”
Section: Statement Of the Main Resultsmentioning
confidence: 99%
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