dc.creator | Lis, Marcin | |
dc.date.accessioned | 2016-12-02 | |
dc.date.accessioned | 2018-11-24T23:27:02Z | |
dc.date.available | 2017-03-02T11:26:43Z | |
dc.date.available | 2018-11-24T23:27:02Z | |
dc.date.issued | 2017-01-01 | |
dc.identifier | https://www.repository.cam.ac.uk/handle/1810/262826 | |
dc.identifier.uri | http://repository.aust.edu.ng/xmlui/handle/123456789/3935 | |
dc.description.abstract | A matrix is called totally positive (resp. totally nonnegative) if all its minors are positive (resp. nonnegative). Consider the Ising model with free boundary conditions and no external field on a planar graph G. Let $a_1$,..., $a_k$ , $b_k$ ,..., $b_1$ be vertices placed in a counterclockwise order on the outer face of $G$. We show that the $k$ $\times$ $k$ matrix of the two-point spin correlation functions
$M_{i,j}$ = $\langle$$\sigma$$_{a_{i}}$$\sigma$$_{b_{j}}$$\rangle$
is totally nonnegative. Moreover, det $M$ > 0 if and only if there exist $k$ pairwise vertex-disjoint paths that connect $a_i$ with $b_i$ . We also compute the scaling limit at criticality of the probability that there are $k$ parallel and disjoint connections between $a_i$ and $b_i$ in the double random current model. Our results are based on a new distributional relation between double random currents and random alternating flows of Talaska [37]. | |
dc.language | en | |
dc.publisher | Springer | |
dc.publisher | Journal of Statistical Physics | |
dc.rights | http://creativecommons.org/licenses/by/4.0/ | |
dc.rights | http://creativecommons.org/licenses/by/4.0/ | |
dc.rights | http://creativecommons.org/licenses/by/4.0/ | |
dc.rights | Attribution 4.0 International | |
dc.rights | Attribution 4.0 International | |
dc.rights | Attribution 4.0 International | |
dc.subject | Ising model | |
dc.subject | total positivity | |
dc.subject | random currents | |
dc.subject | alternating flows | |
dc.title | The Planar Ising Model and Total Positivity | |
dc.type | Article | |