Critical two-point function for long-range models with power-law couplings: The marginal case for $d\ge d_c$
Abstract
Consider the long-range models on of random walk, self-avoiding walk, percolation and the Ising model, whose translation-invariant 1-step distribution/coupling coefficient decays as for some . In the previous work (Ann. Probab., 43, 639--681, 2015), we have shown in a unified fashion for all that, assuming a bound on the "derivative" of the -step distribution (the compound-zeta distribution satisfies this assumed bound), the critical two-point function decays as above the upper-critical dimension , where for self-avoiding walk and the Ising model and for percolation. In this paper, we show in a much simpler way, without assuming a bound on the derivative of the -step distribution, that for the marginal case decays as whenever (with a large spread-out parameter ). This solves the conjecture in the previous work, extended all the way down to , and confirms a part of predictions in physics (Brezin, Parisi, Ricci-Tersenghi, J. Stat. Phys., 157, 855--868, 2014). The proof is based on the lace expansion and new convolution bounds on power functions with log corrections.
Cite
@article{arxiv.1808.06789,
title = {Critical two-point function for long-range models with power-law couplings: The marginal case for $d\ge d_c$},
author = {Lung-Chi Chen and Akira Sakai},
journal= {arXiv preprint arXiv:1808.06789},
year = {2019}
}
Comments
31 pages, 1 figure, 3 diagrams in equations