Asymptotic classification and uniqueness of one-sided minimisers

Assume the hypotheses of the one-force-one-solution conjecture, and work almost surely. A one-sided minimiser is a curve defined on (,t](-\infty,t] such that compact perturbations fixing its endpoint and infinite tail do not decrease the action. One-sided minimiser conjecture. Every one-sided minimiser γ\gamma has an asymptotic slope

a=limsγ(s)sRd.a=\lim_{s\to-\infty}\frac{\gamma(s)}{s}\in\mathbb{R}^d.

For every fixed aRda\in\mathbb{R}^d and every endpoint (t,x)(t,x) there is a minimiser with slope aa; for Lebesgue-almost-every endpoint it is unique; minimisers with the same slope satisfy

limsγ1(s)γ2(s)=0;\lim_{s\to-\infty}|\gamma_1(s)-\gamma_2(s)|=0;

for a minimiser γt,x\gamma_{t,x} with slope aa, the function defined by the stated action difference is a global Hamilton–Jacobi solution Φa\Phi^a, equal to Φb\Phi_b for a uniquely defined b=b(a)b=b(a); and Φa\Phi^a is continuous and locally Lipschitz, with nonuniqueness points exactly the shocks described in the claim. These assertions are the inviscid counterpart of one-force-one-solution and connect global solutions with one-sided minimisers; the source provides no resolution.

Sources & referencesView supporting material

Primary source

Yuri Bakhtin and Konstantin Khanin, “On global solutions of the random Hamilton-Jacobi equations and the KPZ problem”, arXiv:1708.02134 (2017).

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