Quantum entropy couples matter with geometry

IF 2 3区 物理与天体物理 Q2 PHYSICS, MATHEMATICAL
Ginestra Bianconi
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引用次数: 0

Abstract

We propose a theory for coupling matter fields with discrete geometry on higher-order networks, i.e. cell complexes. The key idea of the approach is to associate to a higher-order network the quantum entropy of its metric. Specifically we propose an action having two contributions. The first contribution is proportional to the logarithm of the volume associated to the higher-order network by the metric. In the vacuum this contribution determines the entropy of the geometry. The second contribution is the quantum relative entropy between the metric of the higher-order network and the metric induced by the matter and gauge fields. The induced metric is defined in terms of the topological spinors and the discrete Dirac operators. The topological spinors, defined on nodes, edges and higher-dimensional cells, encode for the matter fields. The discrete Dirac operators act on topological spinors, and depend on the metric of the higher-order network as well as on the gauge fields via a discrete version of the minimal substitution. We derive the coupled dynamical equations for the metric, the matter and the gauge fields, providing an information theory principle to obtain the field theory equations in discrete curved space.
量子熵将物质与几何耦合在一起
我们提出了一种在高阶网络(即细胞复合体)上将物质场与离散几何耦合的理论。该方法的关键思路是将高阶网络与其度量的量子熵相关联。具体来说,我们提出了一种有两个贡献的行动。第一个贡献与高阶网络的度量相关体积的对数成正比。在真空中,这一贡献决定了几何的熵。第二个贡献是高阶网络度量与物质和规规场诱导度量之间的量子相对熵。诱导度量是根据拓扑旋量和离散狄拉克算子定义的。拓扑旋量定义在节点、边缘和高维单元上,是物质场的编码。离散狄拉克算子作用于拓扑自旋子,并通过最小置换的离散版本依赖于高阶网络的度量以及轨距场。我们推导出了度量场、物质场和量规场的耦合动力学方程,提供了一种信息论原理,以获得离散弯曲空间中的场论方程。
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来源期刊
CiteScore
4.10
自引率
14.30%
发文量
542
审稿时长
1.9 months
期刊介绍: Publishing 50 issues a year, Journal of Physics A: Mathematical and Theoretical is a major journal of theoretical physics reporting research on the mathematical structures that describe fundamental processes of the physical world and on the analytical, computational and numerical methods for exploring these structures.
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