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A general approach to massive upper bound for two-point function with application to self-avoiding walk torus plateau
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abstract
We prove a sufficient condition for the two-point function of a statistical mechanical model on $\mathbb{Z}^d$, $d > 2$, to be bounded uniformly near a critical point by $|x|^{-(d-2)} \exp [ -c|x| / \xi ]$, where $\xi$ is the correlation length. The condition is given in terms of a convolution equation satisfied by the two-point function, and we verify the condition for strictly self-avoiding walk in dimensions $d > 4$ using the lace expansion. As an example application, we use the uniform bound to study the self-avoiding walk on a $d$-dimensional discrete torus with $d > 4$, proving a ``plateau'' of the torus two-point function, a result previously obtained for weakly self-avoiding walk in dimensions $d > 4$ by Slade. Our method has the potential to be applied to other statistical mechanical models on $\mathbb{Z}^d$ or on the torus.
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Cited by 1 Pith paper
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Gaussian deconvolution on $\mathbb R^d$ with application to self-repellent Brownian motion
A general deconvolution theorem on R^d yields |x|^{-(d-2)} decay, and it is used to prove the critical two-point function of self-repellent Brownian motion is asymptotic to a constant times |x|^{-(d-2)}.
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