1991
DOI: 10.1142/s0217732391003055
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Tensor Model for Gravity and Orientability of Manifold

Abstract: We investigate the relation between rank-three tensor models and the dynamical triangulation model of three-dimensional quantum gravity, and discuss the orientability of the manifold and the corresponding tensor models. We generalize the orientable tensor models to arbitrary dimensions, which include the two-dimensional Hermitian matrix model as a special case.

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Cited by 228 publications
(312 citation statements)
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“…The simplest is to make the couplings Ji 1 ...iq be nearly static quantum variables [28]. A better way of eliminating disorder is to turn SYK into a tensor model [29] (see also, [30][31][32]), analogous to the ones previously studied [33][34][35][36][37]. To leading order in 1/N all these approaches agree.…”
Section: Fermion Four-point Functionmentioning
confidence: 99%
“…The simplest is to make the couplings Ji 1 ...iq be nearly static quantum variables [28]. A better way of eliminating disorder is to turn SYK into a tensor model [29] (see also, [30][31][32]), analogous to the ones previously studied [33][34][35][36][37]. To leading order in 1/N all these approaches agree.…”
Section: Fermion Four-point Functionmentioning
confidence: 99%
“…The success of matrix models motivated extensions to higher dimensions already in the nineties, called tensor models [53][54][55]. Viewing a matrix as a 2-tensor, it is natural to introduce d-tensors in d dimensions.…”
Section: Higher Dimensional Generalizationsmentioning
confidence: 99%
“…Tensor models [20][21][22] or group field theory [23,24] are natural generalizations of matrix models to three (and higher) dimensions. For three-dimensional models, the perturbative expansion generates random tetrahedral decompositions of three-dimensional objects.…”
Section: Jhep07(2015)088mentioning
confidence: 99%
“…Thus, the value of a closed index loop forming -gon changes from tr 1 n = n = 3m to tr(ω ) = n ( = 0 mod 3) 0 ( = 0 mod 3). (3.11) 21 Although we only discuss the case A = M3m(R), we can also introduce the color structure to other algebras by taking the tensor product of the form R = (A ⊗ M3(R)) ⊗ (Ā ⊗ M3(R)). Note that Mm(R) ⊗ M3(R) = M3m(R).…”
Section: Color Structurementioning
confidence: 99%