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首页> 外文期刊>SIAM Journal on Mathematical Analysis >STOCHASTIC NONLINEAR DIFFUSION EQUATIONS WITH SINGULAR DIFFUSIVITY
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STOCHASTIC NONLINEAR DIFFUSION EQUATIONS WITH SINGULAR DIFFUSIVITY

机译:具有奇异扩散率的随机非线性扩散方程

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摘要

In this paper we are concerned with the stochastic diffusion equation dX(t) =div[sgn(Δ(X(t)))]dt + Q~(1/2) dW(t) in (0,∞) × O, where O is a bounded open subset of Rd, d = 1, 2,W(t) is a cylindrical Wiener process on L2(O), and sgn(ΔX) = ΔX/|ΔX|_d ifΔX ≠ 0 and sgn (0) = {v ∈ Rd : |v|d ≤ 1}. The multivalued and highly singular diffusivity term sgn(ΔX) describes interaction phenomena, and the solution X = X(t) might be viewed as the stochastic flow generated by the gradient of the total variation ||DX||. Our main result says that this problem is well posed in the space of processes with bounded variation in the spatial variable ξ. The above equation is relevant for modeling crystal growth as well as for total variation based techniques in image restoration.
机译:本文关注(0,∞)×O中的随机扩散方程dX(t)= div [sgn(Δ(X(t)))] dt + Q〜(1/2)dW(t) ,其中O是Rd的有界开放子集,d = 1,2,W(t)是L2(O)上的圆柱维纳过程,并且如果ΔX≠0并且sgn(sgn(ΔX)=ΔX/ |ΔX| _d 0)= {v∈Rd:| v | d≤1}。多值且高度奇异的扩散项sgn(ΔX)描述了相互作用现象,并且解决方案X = X(t)可以看作是由总变化|| DX ||的梯度生成的随机流。我们的主要结果表明,这个问题很好地存在于空间变量ξ有界变化的过程空间中。上式与晶体生长建模以及图像恢复中基于总变化的技术有关。

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