Computing the spectral action for fuzzy geometries: from random noncommutative geometry to bi-tracial multimatrix models

被引:1
|
作者
Perez-Sanchez, Carlos I. [1 ,2 ]
机构
[1] Univ Warsaw, Fac Phys, ul Pasteura 5, PL-02093 Warsaw, Poland
[2] Heidelberg Univ, Inst Theoret Phys, Philosophenweg 19, D-69120 Heidelberg, Germany
基金
欧洲研究理事会;
关键词
Noncommutative geometry; random geometry; spectral action; spectral triples; matrix models; fuzzy spaces; chord diagrams; noncommutative polynomials; free probability; STANDARD MODEL; MODULI SPACE; GRAVITY; CURVES;
D O I
10.4171/JNCG/482
中图分类号
O29 [应用数学];
学科分类号
070104 ;
摘要
A fuzzy geometry is a certain type of spectral triple whose Dirac operator crucially turns out to be a finite matrix. This notion incorporates familiar examples like fuzzy spheres and fuzzy tori. In the framework of random noncommutative geometry, we use Barrett's characterization of Dirac operators of fuzzy geometries in order to systematically compute the spectral action S(D) = Tr f (D) for 2n-dimensional fuzzy geometries. In contrast to the original Chamseddine- Connes spectral action, we take a polynomial f with f (x) ! oo as 'x' ! oo in order to obtain a well-defined path integral that can be stated as a random matrix model with action of the type S(D) = N center dot tr F + Pi tr Ai center dot tr Bi, being F, Ai and Bi noncommutative polynomials in 22n-1 complex N x N matrices that parametrize the Dirac operator D. For arbitrary signature-thus for any admissible KO-dimension-formulas for 2-dimensional fuzzy geometries are given up to a sextic polynomial, and up to a quartic polynomial for 4-dimensional ones, with focus on the octo-matrix models for Lorentzian and Riemannian signatures. The noncommutative polynomials F, Ai and Bi are obtained via chord diagrams and satisfy: independence of N; self-adjointness of the main polynomial F (modulo cyclic reordering of each monomial); also up to cyclicity, either self-adjointness or anti-self-adjointness of Ai and Bi simultaneously, for fixed i. Collectively, this favors a free probabilistic perspective for the large-N limit we elaborate on.
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页码:1137 / 1178
页数:42
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