POINCARE GAUGE-THEORY;
FUNDAMENTAL PARTICLES;
EVOLUTION EQUATION;
GEOMETRY;
SPINORS;
TORSION;
D O I:
10.1016/j.nuclphysb.2021.115526
中图分类号:
O412 [相对论、场论];
O572.2 [粒子物理学];
学科分类号:
摘要:
Einstein's general relativity can emerge from pregeometry, with the metric composed of more fundamental fields. We formulate euclidean pregeometry as a SO (4) - Yang-Mills theory. In addition to the gauge fields we include a vector field in the vector representation of the gauge group. The gauge - and diffeomorphism - invariant kinetic terms for these fields permit a well-defined euclidean functional integral, in contrast to metric gravity with the Einstein-Hilbert action. The propagators of all fields are well behaved at short distances, without tachyonic or ghost modes. The long distance behavior is governed by the composite metric and corresponds to general relativity. In particular, the graviton propagator is free of ghost or tachyonic poles despite the presence of higher order terms in a momentum expansion of the inverse propagator. This pregeometry seems to be a valid candidate for euclidean quantum gravity, without obstructions for analytic continuation to a Minkowski signature of the metric. (C) 2021 The Author. Published by Elsevier B.V.
机构:
UNSW, Sch Math & Stat, Kensington, NSW 2052, AustraliaUNSW, Sch Math & Stat, Kensington, NSW 2052, Australia
McDonald, Edward
Sukochev, Fedor
论文数: 0引用数: 0
h-index: 0
机构:
UNSW, Sch Math & Stat, Kensington, NSW 2052, AustraliaUNSW, Sch Math & Stat, Kensington, NSW 2052, Australia
Sukochev, Fedor
Xiong, Xiao
论文数: 0引用数: 0
h-index: 0
机构:
UNSW, Sch Math & Stat, Kensington, NSW 2052, Australia
Harbin Inst Technol, Inst Adv Study Math, Harbin 150001, Peoples R ChinaUNSW, Sch Math & Stat, Kensington, NSW 2052, Australia
机构:
UNSW, Sch Math & Stat, Kensington, NSW 2052, AustraliaUNSW, Sch Math & Stat, Kensington, NSW 2052, Australia
McDonald, Edward
Sukochev, Fedor
论文数: 0引用数: 0
h-index: 0
机构:
UNSW, Sch Math & Stat, Kensington, NSW 2052, AustraliaUNSW, Sch Math & Stat, Kensington, NSW 2052, Australia
Sukochev, Fedor
Xiong, Xiao
论文数: 0引用数: 0
h-index: 0
机构:
UNSW, Sch Math & Stat, Kensington, NSW 2052, Australia
Harbin Inst Technol, Inst Adv Study Math, Harbin 150001, Peoples R ChinaUNSW, Sch Math & Stat, Kensington, NSW 2052, Australia