1970
DOI: 10.1007/bf00531880
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The vibrating string forced by white noise

Abstract: The equation of the vibrating string forced by white noise is formally solved, using stochastic integrals with respect to a plane Brownian motion, and it is proved that a certain process associated to the energy is a martingale. Then Doob's martingale inequality is used to furnish some probability bounds for the energy.Such bounds provide a solution for the double barrier problem for the class of Gaussian stationary processes which can be represented as linear functionals of the positions and the velocities of… Show more

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Cited by 57 publications
(33 citation statements)
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“…It has been popular to consider the stochastic wave equation driven by a Gaussian noise. For example, the energy and displacement of a vibrating string forced by a space-time white noise is considered in [4] and [5]. The equation modeling this system is…”
Section: Introductionmentioning
confidence: 99%
“…It has been popular to consider the stochastic wave equation driven by a Gaussian noise. For example, the energy and displacement of a vibrating string forced by a space-time white noise is considered in [4] and [5]. The equation modeling this system is…”
Section: Introductionmentioning
confidence: 99%
“…We assume that W has the following covariance structure E(W t (φ)W t (ψ)) = t 0 R φ(s, y)ψ(s, y)dyds, t ≥ 0, for φ, ψ ∈ C ∞ c (R + × R). The stochastic heat equation with space-time white noise was studied among many others, by Cabaña [2], Dawson [8], [9], Krylov and Rozovskii [15], [17], [16], Funaki [14], [10] and Walsh [30]. Pathwise uniqueness of the solutions for the stochastic heat equation, when the white noise coefficient σ and the drift coefficient are Lipschitz continuous was derived in [30].…”
Section: Introduction and Main Resultsmentioning
confidence: 99%
“…(6.69) (6.69) is trivial in case (1). If y is between x and B(t − t ′ ), argue as in (6.64), this time using (t, x) ∈ Z(N ′ , n, K, β), to see that…”
Section: Notation Definēmentioning
confidence: 99%