arXivDaily arXiv每日学术速递 周一至周五更新
arXiv 2407.03395gr-qchep-thmath-phmath.MP
收藏

因果集合理论中的涨落与关联

Fluctuations and Correlations in Causal Set Theory

Heidar Moradi, Yasaman K. Yazdi, Miguel Zilhão

AI总结:

本文研究因果集合作用量的统计涨落,提出处理不同基数因果区间关联的工具,并将作用量涨落分解为不同关联贡献,为研究 Everpresent Λ 宇宙学模型等离散性效应奠定基础。

摘要:

我们研究因果集合量的统计涨落(例如方差),特别关注因果集合作用量。为了便于计算此类涨落,我们开发了工具来处理具有不同基数的因果区间之间的关联。我们给出了因果集合作用量涨落的一种方便分解,将其表示为依赖于不同种类关联的贡献之和。该分解可用于由任意时空流形 $\mathcal M$ 近似的因果集合。我们的工作为研究若干有趣的离散性效应铺平了道路,例如 Everpresent $Λ$ 宇宙学模型的某些方面。

英文摘要:

We study the statistical fluctuations (such as the variance) of causal set quantities, with particular focus on the causal set action. To facilitate calculating such fluctuations, we develop tools to account for correlations between causal intervals with different cardinalities. We present a convenient decomposition of the fluctuations of the causal set action into contributions that depend on different kinds of correlations. This decomposition can be used in causal sets approximated by any spacetime manifold $\mathcal M$. Our work paves the way for investigating a number of interesting discreteness effects, such as certain aspects of the Everpresent $Λ$ cosmological model.

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。

↑