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arXiv 0907.5332math.APmath.PR
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平稳遍历环境下临界Hamilton-Jacobi方程的度量分析

A metric analysis of critical Hamilton--Jacobi equations in the stationary ergodic setting

Andrea Davini, Antonio Siconolfi

摘要:

我们适应度量方法的研究平稳遍历Hamilton-Jacobi方程,其中的一个概念,允许随机(子)的解决方案的定义。对于任何水平的哈密顿大于或等于一个杰出的临界值,我们定义了一个内在的随机半距离,并证明了渐近范数的存在。以一类适当的闭随机集作为源区,我们证明了Lax公式提供了容许子解。这使我们能够将临界稳定范数的退化与精确或近似临界可采纳解的存在性/不存在性联系起来。

英文摘要:

We adapt the metric approach to the study of stationary ergodic Hamilton-Jacobi equations, for which a notion of admissible random (sub)solution is defined. For any level of the Hamiltonian greater than or equal to a distinguished critical value, we define an intrinsic random semidistance and prove that an asymptotic norm does exist. Taking as source region a suitable class of closed random sets, we show that the Lax formula provides admissible subsolutions. This enables us to relate the degeneracies of the critical stable norm to the existence/nonexistence of exact or approximate critical admissible solutions.

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