2013
DOI: 10.1007/s00028-013-0193-3
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Stochastic differential equations with non-negativity constraints driven by fractional Brownian motion

Abstract: In this paper we consider stochastic differential equations with nonnegativity constraints, driven by a fractional Brownian motion with Hurst parameter H > 1/2. We first study an ordinary integral equation, where the integral is defined in the Young sense, and we prove an existence result and the boundedness of the solutions. Then we apply this result pathwise to solve the stochastic problem.

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Cited by 20 publications
(20 citation statements)
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“…Remark 3.1 This problem is solved in Ferrante and Rovira [9] for a fractional Brownian motion and a set G = (0, ∞). Pardoux and Zhang [8] proved that for H = 1/2 and for each…”
Section: Definitions and Notationsmentioning
confidence: 99%
“…Remark 3.1 This problem is solved in Ferrante and Rovira [9] for a fractional Brownian motion and a set G = (0, ∞). Pardoux and Zhang [8] proved that for H = 1/2 and for each…”
Section: Definitions and Notationsmentioning
confidence: 99%
“…This kind of equations have many applications, for instance in queueing systems, seismic reliability analysis and finance (see, e.g., [1,10,16,25]). In recent papers by Besalu and Rovira [2] and Ferrante and Rovira [13] SDE with non-negativity constraints driven by fractional Brownian motion B H with Hurst index H > 1/2 and A t = t, t ∈ R + , is studied. This equation is a particular case of (1.1) because B H has locally bounded p-variation for p > 1/H.…”
Section: Introductionmentioning
confidence: 99%
“…This equation is a particular case of (1.1) because B H has locally bounded p-variation for p > 1/H. In the main theorem of [13] the existence of a solution is proved under the assumption that the coefficients f, g are Lipschitz continuous. The proof is based on a quite natural in the context of SDEs driven by B H technics based on λ-Hölder norms.…”
Section: Introductionmentioning
confidence: 99%
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