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Weak solutions to the sharp interface limit of stochastic Cahn-Hilliard equations

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abstract

We study the asymptotic limit, as $\varepsilon\searrow 0$, of solutions of the stochastic Cahn-Hilliard equation: $$ \partial_t u^\varepsilon=\Delta \left(-\varepsilon\Delta u^\varepsilon+\frac{1}{\varepsilon}f(u^\varepsilon)\right)+\dot{\mathcal{W}}^\varepsilon_t, \\ $$ where $\mathcal{W}^\varepsilon=\varepsilon^\sigma W$ or $\mathcal{W}^\varepsilon=\varepsilon^\sigma W^\varepsilon$, $W$ is a $Q$-Wiener process and $W^\varepsilon$ is smooth in time and converges to $W$ as $\varepsilon\searrow 0$. In the case that $\mathcal{W}^\varepsilon=\varepsilon^\sigma W$, we prove that for all $\sigma>\frac{1}{2}$, the solution $u^\varepsilon$ converges to a weak solution to an appropriately defined limit of the deterministic Cahn-Hilliard equation. In radial symmetric case we prove that for all $\sigma\geq\frac{1}{2}$, $u^\varepsilon$ converges to the deterministic Hele-Shaw model. In the case that $\mathcal{W}^\varepsilon=\varepsilon^\sigma W^\varepsilon$, we prove that for all $\sigma>0$, $u^\varepsilon$ converges to the weak solution to the deterministic limit Cahn-Hilliard equation. In radial symmetric case we prove that $u^\varepsilon$ converges to deterministic Hele-Shaw model when $\sigma>0$ and converges to a stochastic model related to stochastic Hele-Shaw model when $\sigma=0$.

fields

math.DS 1

years

2019 1

verdicts

CONDITIONAL 1

representative citing papers

Stochastic Cahn-Hilliard equation in higher space dimensions: The motion of bubbles

math.DS · 2019-08-05 · conditional · novelty 6.0

For sufficiently small additive noise, a 2D droplet in the stochastic Cahn-Hilliard equation remains near the deterministic slow manifold for polynomial times, and its center satisfies a derived SDE with noise essentially the projection of the Wiener process onto the translational modes.

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  • Stochastic Cahn-Hilliard equation in higher space dimensions: The motion of bubbles math.DS · 2019-08-05 · conditional · none · ref 23 · internal anchor

    For sufficiently small additive noise, a 2D droplet in the stochastic Cahn-Hilliard equation remains near the deterministic slow manifold for polynomial times, and its center satisfies a derived SDE with noise essentially the projection of the Wiener process onto the translational modes.