arXivDaily arXiv每日学术速递 周一至周五更新
arXiv 1706.02488math.SP
收藏

冠层树上高阶Anderson模型的Eigenvalue统计量

Eigenvalue Statistics for higher rank Anderson model over Canopy tree

Narayanan P. A.

摘要:

本文研究了冠层树上具有非秩一扰动的Anderson紧束缚模型在大无序下的局部特征值统计。在Hilbert空间$\ell^2(\mathcal{C})$上,$ \mathcal{C} $是树冠树,我们考虑的随机算子是$Δ_{\mathcal{C}}+\sum_{y\in J}ω_y P_y$,其中$Δ_{\mathcal{C}}$是树上的邻接算子,$\{ω_y\}_{y\in J}$是遵循具有紧支撑的有界密度的绝对连续分布的i.i.d实随机变量,$P_y$是$\ell^2(\{x\in\mathcal{C}: dist(y,x)< m_0 \& y\prec x\})$上的投影。对于该算子,我们证明了特征值计数点过程收敛于复合泊松过程。

英文摘要:

This work is focused on the local eigenvalue statistics for the Anderson tight binding model with non-rank-one perturbations over the canopy tree, at large disorder. On the Hilbert space $\ell^2(\mathcal{C})$, where $ \mathcal{C} $ is the canopy tree, the random operator we consider is $Δ_{\mathcal{C}}+\sum_{y\in J}ω_y P_y$, where $Δ_{\mathcal{C}}$ is the adjacency operator over the tree, $\{ω_y\}_{y\in J}$ are i.i.d real random variables following some absolutely continuous distribution having a bounded density with compact support, and $P_y$ are projections on $\ell^2(\{x\in\mathcal{C}: dist(y,x)< m_0 \& y\prec x\})$. For this operator, we show that, the eigenvalue-counting point process converges to compound Poisson process.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

↑