arrow
返回

A generalized Hartle-Hawking wave function

delete2021-04-14
delete11
delete
OA
AI
A
Alexander, Stephon
G
Gabriel Herczeg *
J
João Magueijo
DOI:10.1088/1361-6382/abf2f6delete
delete原文链接
delete原文求助
delete分享
delete收藏
摘要

摘要

En 中文
The Hartle-Hawking wave function is known to be the Fourier dual of the Chern-Simons or Kodama state reduced to mini-superspace, using an integration contour covering the whole real line. But since the Chern-Simons state is a solution of the Hamiltonian constraint (with a given ordering), its Fourier dual should provide a solution (i.e. beyond mini-superspace) of the Wheeler DeWitt equation representing the Hamiltonian constraint in the metric representation. We write down a formal expression for such a wave function, to be seen as the generalization beyond mini-superspace of the Hartle-Hawking wave function. Its explicit evaluation (or simplification) depends only on the symmetries of the problem, and we illustrate the procedure with anisotropic Bianchi models and with the Kantowski-Sachs model. A significant difference of this approach is that we may leave the torsion inside the wave functions when we set up the ansatz for the connection, rather than setting it to zero before quantization. This allows for quantum fluctuations in the torsion, with far reaching consequences.
Keyword:
quantum cosmology
loop quantum cosmology
wavefunction of the universe
Hartle– Hawking state
torsion
Chern– Simons state

期刊

Classical and Quantum Gravity 封面图
Classical and Quantum Gravity
IF:
3.7
论文数:
1.3W
被引数:
3.0W

机构

B
Brown University
学者数:
2.4W
论文数: 2.2W
被引数: 3.2W
I
Imperial College London
学者数:
8.3W
论文数: 7.3W
被引数: 11.1W
引用论文

引用论文

err分享
err收藏
An optimality‐based model of the dynamic feedbacks between natural vegetation and the water balance
err2009-01-15
err0
errOAAI
errS. J. Schymanski; M. Sivapalan; M. L. Roderick; L. B. Hutley; J. Beringer
err分享
err收藏
An alternative system for mycotoxin detection based on amorphous silicon sensors
err2007-05-18
err0
PREAI
errD. Caputo; G. de Cesare; P. De Rossi; C. Fanelli; A. Nascetti; A. Ricelli; R. Scipinotti
err分享
err收藏
A deep learning–based automatic analysis of cardiovascular borders on chest radiographs of valvular heart disease: development/external validation
err2021-10-13
err0
PREAI
errCherry Kim; Gaeun Lee; Hongmin Oh; Gyujun Jeong; Sun Won Kim; Eun Ju Chun; Young-Hak Kim; June-Goo Lee; Dong Hyun Yang
err分享
err收藏
学者 查看更多内容