2019
DOI: 10.1093/ptep/ptz057
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A random matrix model with non-pairwise contracted indices

Abstract: We consider a random matrix model with both pairwise and non-pairwise contracted indices. The partition function of the matrix model is similar to that appearing in some replicated systems with random tensor couplings, such as the p-spin spherical model for the spin glass. We analyze the model using Feynman diagrammatic expansions, and provide an exhaustive characterization of the graphs which dominate when the dimensions of the pairwise and (or) nonpairwise contracted indices are large. We apply this to inves… Show more

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Cited by 17 publications
(59 citation statements)
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References 40 publications
(154 reference statements)
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“…In this paper, however, we will take a different strategy. This is because the new strategy makes more transparent the rather complicated counting of combinatorics performed in [21], and make it straightforward to include the extra coupling λ d U d (φ) and also to consider the next order in t. For λ d = 0, the new strategy gives essentially the same result as [21] in the leading order, as commented below (17).…”
Section: Observablesmentioning
confidence: 86%
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“…In this paper, however, we will take a different strategy. This is because the new strategy makes more transparent the rather complicated counting of combinatorics performed in [21], and make it straightforward to include the extra coupling λ d U d (φ) and also to consider the next order in t. For λ d = 0, the new strategy gives essentially the same result as [21] in the leading order, as commented below (17).…”
Section: Observablesmentioning
confidence: 86%
“…The f N,R (t) has also the property that it is a decreasing positive function of t with f N,R (0) = 1 for real t. This property provides a good criterion for assessing the validity of an approximation of f N,R (t). In the previous paper [21], f N,R (t) in the leading order of 1/R has been determined by a Feynman diagrammatic method with the result,…”
Section: The Modelmentioning
confidence: 99%
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