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arXiv gr-qc/0209020gr-qc
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矩问题与量子引力的因果集方法

Moment Problems and the Causal Set Approach to Quantum Gravity

Avner Ash, Patrick McDonald

摘要:

我们研究了一系列离散马尔可夫链的因果集方法建模离散理论的量子引力。这些链的转移概率满足一般的协方差原理,因果关系原理和可重整化条件。相应的动力学完全由一系列非负实耦合常数决定。利用与经典矩问题相关的技术,我们给出了任何这样的耦合常数序列的完整描述。我们证明了一个表示定理:每一个离散的量子引力理论产生的因果集动力学满足协方差,因果关系和重整化对应于一个唯一的概率分布函数的非负实数,与耦合常数定义的理论由分布的时刻。

英文摘要:

We study a collection of discrete Markov chains related to the causal set approach to modeling discrete theories of quantum gravity. The transition probabilities of these chains satisfy a general covariance principle, a causality principle, and a renormalizability condition. The corresponding dynamics are completely determined by a sequence of nonnegative real coupling constants. Using techniques related to the classical moment problem, we give a complete description of any such sequence of coupling constants. We prove a representation theorem: every discrete theory of quantum gravity arising from causal set dynamics satisfying covariance, causality and renormalizability corresponds to a unique probability distribution function on the nonnegative real numbers, with the coupling constants defining the theory given by the moments of the distribution.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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