2016
DOI: 10.12988/ams.2016.69243
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Fractional stochastic heat equation on the half-line

Abstract: In this paper, we consider an initial-boundary value problem for a stochastic non-linear heat equation with Riemann-Liouville spacefractional derivative and white noise on the half-line. We construct the integral representation of the solution and prove existence and uniqueness. Moreover, we adapt stochastic integration methods to approximate the solutions

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Cited by 2 publications
(3 citation statements)
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“…There exist some earlier works analysing fractional PDEs on the half-line using methods similar to the unified transform method, e.g. the recent work of Arciga et al [2,3,28] and some papers of Kaikina [19,20]. However, some of these works have used other fractional models than the classical Riemann-Liouville one -such as the Riesz, Caputo, or Abel fractional derivatives [27] -or considered a narrower class of PDEs than that which we shall analyse here, while others have used more complicated methods than the unified transform method.…”
Section: Applying the Methods To Linear Fractional Pdesmentioning
confidence: 99%
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“…There exist some earlier works analysing fractional PDEs on the half-line using methods similar to the unified transform method, e.g. the recent work of Arciga et al [2,3,28] and some papers of Kaikina [19,20]. However, some of these works have used other fractional models than the classical Riemann-Liouville one -such as the Riesz, Caputo, or Abel fractional derivatives [27] -or considered a narrower class of PDEs than that which we shall analyse here, while others have used more complicated methods than the unified transform method.…”
Section: Applying the Methods To Linear Fractional Pdesmentioning
confidence: 99%
“…for all integers n, i.e. that |4n ± α| ≥ 1 for all integers n. In other words, α must lie in one of the intervals [1,3], [5,7], [9,11], etc. The domain D + can be described as follows, working from (31):…”
Section: Applications and Extensions 31 A Worked Examplementioning
confidence: 99%
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