English

Finite Range Decomposition for Gaussian Measures with Improved Regularity

Mathematical Physics 2018-11-15 v2 math.MP Probability

Abstract

We consider a family of gradient Gaussian vector fields on the torus (Z/LNZ)d(\mathbb{Z}/L^N\mathbb{Z})^d. Adams, Koteck\'{y}, M\"{u}ller and independently Bauerschmidt established the existence of a uniform finite range decomposition of the corresponding covariance operators, i.e., the covariance can be written as a sum of covariance operators supported on increasing cubes with diameter LkL^k. We improve this result and show that the decay behaviour of the kernels in Fourier space can be controlled. Then we show the regularity of the integration map that convolves functionals with the partial measures of the finite range decomposition. In particular the new finite range decomposition avoids the loss of regularity which arises in the renormalisation group approach to anisotropic problems in statistical mechanics.

Keywords

Cite

@article{arxiv.1603.06685,
  title  = {Finite Range Decomposition for Gaussian Measures with Improved Regularity},
  author = {Simon Buchholz},
  journal= {arXiv preprint arXiv:1603.06685},
  year   = {2018}
}

Comments

28 pages, more general interactions and smoothness statement, construction now based on the Bauerschmidt decomposition

R2 v1 2026-06-22T13:15:50.725Z