Finite range Decomposition of Gaussian Processes

Details Finite range Decomposition of Gaussian Processes Finite range Decomposition of Gaussian Processes

2003-03-05

arxiv.org/abs/math-ph/0303013v3

Physics

Mathematical Physics

26 pages, LaTeX, paper in honour of G.Jona-Lasinio.Typos corrected, corrections in section 5 and appendix A

Scientific paper

10.1023/B:JOSS.0000019818.81237.

Let $\D$ be the finite difference Laplacian associated to the lattice $\bZ^{d}$. For dimension $d\ge 3$, $a\ge 0$ and $L$ a sufficiently large positive dyadic integer, we prove that the integral kernel of the resolvent $G^{a}:=(a-\D)^{-1}$ can be decomposed as an infinite sum of positive semi-definite functions $ V_{n} $ of finite range, $ V_{n} (x-y) = 0$ for $|x-y|\ge O(L)^{n}$. Equivalently, the Gaussian process on the lattice with covariance $G^{a}$ admits a decomposition into independent Gaussian processes with finite range covariances. For $a=0$, $ V_{n} $ has a limiting scaling form $L^{-n(d-2)}\Gamma_{c,\ast}{\bigl (\frac{x-y}{L^{n}}\bigr)}$ as $n\to \infty$. As a corollary, such decompositions also exist for fractional powers $(-\D)^{-\alpha/2}$, $0<\alpha \leq 2$. The results of this paper give an alternative to the block spin renormalization group on the lattice.

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