2008
DOI: 10.1214/009117907000000231
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Decay of correlations in nearest-neighbor self-avoiding walk, percolation, lattice trees and animals

Abstract: We consider nearest-neighbor self-avoiding walk, bond percolation, lattice trees, and bond lattice animals on Z d . The two-point functions of these models are respectively the generating function for self-avoiding walks from the origin to x ∈ Z d , the probability of a connection from the origin to x, and the generating functions for lattice trees or lattice animals containing the origin and x. Using the lace expansion, we prove that the two-point function at the critical point is asymptotic to const.|x| 2−d … Show more

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Cited by 85 publications
(161 citation statements)
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“…verifying several conditions in Hara's paper [16], which shows this decay rate for d ≥ 19. Therefore,…”
Section: P Is a Property Concerning Cut Pointssupporting
confidence: 78%
“…verifying several conditions in Hara's paper [16], which shows this decay rate for d ≥ 19. Therefore,…”
Section: P Is a Property Concerning Cut Pointssupporting
confidence: 78%
“…A general argument that holds for all our three models is the following: the quantity G z (x) can be realized as an increasing limit (finite volume approximation) of a function which is continuous and non-decreasing in z, hence G z (x) is left-continuous (cf. [25,Appendix A]). It follows that (1.38)-(1.40) even hold at criticality, i.e.…”
Section: Resultsmentioning
confidence: 99%
“…Partial results towards (1.44) have been obtained. Indeed, Hara, van der Hofstad and Slade [29] proved (1.44) in the finite-range spread-out setting for self-avoiding walk and percolation, Hara [25] proved it in the nearest-neighbor setting, and Sakai [38] proved it for the Ising model in finite-range spread-out and nearest-neighbor settings. We discuss the critical two-point function G zc (x) at the end of Sect.…”
Section: Discussion and Related Workmentioning
confidence: 99%
“…The second estimate that we use, derived by Hara [17] (for the nearest-neighbor model) and by Hara, van der Hofstad and Slade [18] (for the spread-out model) states that in high dimensions,…”
Section: Critical Percolation In High Dimensionsmentioning
confidence: 99%