000			nam a22 7a 4500
999			_c29521 _d29521
008			190525b xxu||||| |||| 00| 0 eng d
020			_a9780198787938 _c(hbk)
082			_a530.143 _bGUR
100			_aGurau, Razvan
245			_aRandom tensors
250			_a1st ed.
260			_a New York : _bOxford University Press, _c2017
300			_ax, 333 p. : _bill. ; _c25.4 cm.
365			_aGBP _b67.50 _d00
504			_aIncludes bibliographical references and index.
520			_aThis book presents a self-contained, ab initio introduction to random tensors. The book is divided into two parts. The first part introduces the general framework and the main results on random tensors. The second part presents in detail specific examples of random tensors models. The book presents both asymptotic results (or perturbative, in the physics literature) and constructive (non perturbative) results in full detail. The book is suitable for readers unfamiliar with the field. The material presented is divided into three broad categories of results. The first category connects random tensors to topological spaces, Euclidean dynamical triangulations and random geometry. The second category consists of perturbative results on random tensors. It contains the 1/N expansion, the enumeration of graphs of fixed degree, the continuum limit, the double scaling limit as well as the study of phase transitions and symmetry breaking in tensor models. The results in the third category are non perturbative: the proof of the universality of Gaussian tensor measures and the construction of quartically perturbed Gaussian measure. These results are obtained using methods from enumerative combinatorics, probability theory and constructive field theory. Random tensors generalize random matrices and provide a framework for the study of random geometries in any dimension relevant for conformal field theory, statistical physics and quantum gravity
650			_aRandom matrices
650			_aCalculus of tensors
650			_aQuantum field theory
650			_aGeometric quantization
650			_aTensor fields
650			_aRandom sets
942			_2ddc _cBK