当前位置:
X-MOL 学术
›
Stoch. Process. their Appl.
›
论文详情
Our official English website, www.x-mol.net, welcomes your
feedback! (Note: you will need to create a separate account there.)
Lower Gaussian heat kernel bounds for the random conductance model in a degenerate ergodic environment
Stochastic Processes and their Applications ( IF 1.1 ) Pub Date : 2021-05-21 , DOI: 10.1016/j.spa.2021.05.003 Sebastian Andres , Noah Halberstam
中文翻译:
退化遍历环境中随机电导模型的下高斯热核边界
更新日期:2021-06-03
Stochastic Processes and their Applications ( IF 1.1 ) Pub Date : 2021-05-21 , DOI: 10.1016/j.spa.2021.05.003 Sebastian Andres , Noah Halberstam
We study the random conductance model on with ergodic, unbounded conductances. We prove a Gaussian lower bound on the heat kernel given a polynomial moment condition and some additional assumptions on the correlations of the conductances. The proof is based on the well-established chaining technique. We also obtain bounds on the Green’s function.
中文翻译:
退化遍历环境中随机电导模型的下高斯热核边界
我们研究随机电导模型 具有遍历的无界电导。在给定多项式矩条件和有关电导相关性的一些附加假设的情况下,我们证明了热核的高斯下界。该证明基于完善的链接技术。我们还获得了格林函数的边界。