4.4 Article

Manifolds Pinned by a High-Dimensional Random Landscape: Hessian at the Global Energy Minimum

期刊

JOURNAL OF STATISTICAL PHYSICS
卷 179, 期 1, 页码 176-215

出版社

SPRINGER
DOI: 10.1007/s10955-020-02522-2

关键词

First keyword; Second keyword; More

资金

  1. EPSRC [EP/N009436/1]
  2. ANR grant [ANR-17-CE30-0027-01 RaMa-TraF]
  3. Philippe Meyer Institute for Theoretical Physics
  4. EPSRC [EP/N009436/1] Funding Source: UKRI

向作者/读者索取更多资源

We consider an elastic manifold of internal dimension d and length L pinned in a N dimensional random potential and confined by an additional parabolic potential of curvature mu. We are interested in the mean spectral density rho(lambda) of the Hessian matrix K at the absolute minimum of the total energy. We use the replica approach to derive the system of equations for rho(lambda) for a fixed Ld in the N ->infinity limit extending d=0 results of our previous work (Fyodorov et al. in Ann Phys 397:1-64, 2018). A particular attention is devoted to analyzing the limit of extended lattice systems by letting L ->infinity. In all cases we show that for a confinement curvature mu exceeding a critical value mu c, the so-called Larkin mass, the system is replica-symmetric and the Hessian spectrum is always gapped (from zero). The gap vanishes quadratically at mu ->mu c. For mu

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.4
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据