2014
DOI: 10.1007/s00220-014-2225-4
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Finite Time Extinction for Stochastic Sign Fast Diffusion and Self-Organized Criticality

Abstract: Abstract. We prove finite time extinction for stochastic sign fast diffusion equations driven by linear multiplicative space-time noise, corresponding to the Bak- Tang

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Cited by 28 publications
(24 citation statements)
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“…Some asymptotic results for the case of SOC in stochastic porous media equations of the type dX − ∆ψ(X) dt = σ(X) dW, have been provided by V. Barbu, G. Da Prato, and M. Röckner in [11,Ch. 3.8] as well as B. Gess in [18], the latter guaranteeing, under some suitable assumptions, the extinction in finite time of solutions also for d > 1. However, in the case of Stratonovich gradient noise, what happens for d > 1 is still to be proved, up to our knowledge, and it could be the next step to be tackled in future works.…”
Section: Framework Let O ⊂ R D Be a Open And Bounded Set With Smoothmentioning
confidence: 91%
“…Some asymptotic results for the case of SOC in stochastic porous media equations of the type dX − ∆ψ(X) dt = σ(X) dW, have been provided by V. Barbu, G. Da Prato, and M. Röckner in [11,Ch. 3.8] as well as B. Gess in [18], the latter guaranteeing, under some suitable assumptions, the extinction in finite time of solutions also for d > 1. However, in the case of Stratonovich gradient noise, what happens for d > 1 is still to be proved, up to our knowledge, and it could be the next step to be tackled in future works.…”
Section: Framework Let O ⊂ R D Be a Open And Bounded Set With Smoothmentioning
confidence: 91%
“…In contrast, in the fast diffusion case m ∈ (0, 1), the path-by-path wellposedness of (1.1) and the related problem of the existence of a corresponding stochastic flow and random dynamical system have proven to be notoriously difficult and have been posed as open questions in several works, e.g. Barbu and Röckner [4,5,6] and the second author [11,13]. In addition, even in the porous medium case m ∈ (1, ∞), for general initial data u 0 ∈ L 2 (U ), path-by-path solutions could only be obtained in a limiting sense in [4,6,11], thus lacking a characterization in terms of (generalized) solutions to (1.1).…”
Section: Introductionmentioning
confidence: 99%
“…For bounded initial data x 0 ∈ L ∞ (O) and finite driving noise, that is f k ≡ 0 for all k large enough, the existence of strong solutions (cf. Definition A.1 below) to (1.5) has been proven in [9] by entirely different methods, relying on a transformation of (1.5) into a random PDE. Well-posedness for (1.1) with m = 1 and with general multiplicative noise has been obtained in [11] for the first time, proving well-posedness in terms of variational solutions for regular initial data x 0 ∈ L 2 (O).…”
Section: Introductionmentioning
confidence: 99%