scholarly journals A useful elementary correlation inequality

1989 ◽  
Vol 50 (2) ◽  
pp. 305-307 ◽  
Author(s):  
Ravi Boppona ◽  
Joel Spencer
10.37236/6019 ◽  
2017 ◽  
Vol 24 (1) ◽  
Author(s):  
Péter Csikvári ◽  
Zhicong Lin

Let $\hom(H,G)$ denote the number of homomorphisms from a graph $H$ to a graph $G$. Sidorenko's conjecture asserts that for any bipartite graph $H$, and a graph $G$ we have$$\hom(H,G)\geq v(G)^{v(H)}\left(\frac{\hom(K_2,G)}{v(G)^2}\right)^{e(H)},$$where $v(H),v(G)$ and $e(H),e(G)$ denote the number of vertices and edges of the graph $H$ and $G$, respectively. In this paper we prove Sidorenko's conjecture for certain special graphs $G$: for the complete graph $K_q$ on $q$ vertices, for a $K_2$ with a loop added at one of the end vertices, and for a path on $3$ vertices with a loop added at each vertex. These cases correspond to counting colorings, independent sets and Widom-Rowlinson colorings of a graph $H$. For instance, for a bipartite graph $H$ the number of $q$-colorings $\mathrm{ch}(H,q)$ satisfies$$\mathrm{ch}(H,q)\geq q^{v(H)}\left(\frac{q-1}{q}\right)^{e(H)}.$$In fact, we will prove that in the last two cases (independent sets and Widom-Rowlinson colorings) the graph $H$ does not need to be bipartite. In all cases, we first prove a certain correlation inequality which implies Sidorenko's conjecture in a stronger form.


2001 ◽  
Vol 29 (1) ◽  
pp. 123-126 ◽  
Author(s):  
J. van den Berg ◽  
J. Kahn

1993 ◽  
Vol 9 (2-4) ◽  
pp. 201-204 ◽  
Author(s):  
Alexander Sidorenko

1993 ◽  
Vol 30 (02) ◽  
pp. 275-284
Author(s):  
Peter Donnelly ◽  
Thomas Kurtz ◽  
Paul Marjoram

Faddy (1990) has conjectured that the variability of a pure birth process is increased, relative to the linear case, if the birth rates are convex and decreased if they are concave. We prove the conjecture by relating variability to the correlation structure of certain more informative versions of the process. A correlation inequality due to Harris (1977) is used to derive the necessary positive and negative correlation results.


1992 ◽  
Vol 1 (2) ◽  
pp. 157-160 ◽  
Author(s):  
Colin McDiarmid

Suppose that each vertex of a graph independently chooses a colour uniformly from the set {1, …, k}; and let Si be the random set of vertices coloured i. Farr shows that the probability that each set Si is stable (so that the colouring is proper) is at most the product of the k probabilities that the sets Si separately are stable. We give here a simple proof of an extension of this result.


1981 ◽  
Vol 256 (4) ◽  
pp. 569-573 ◽  
Author(s):  
Christer Borell

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