晓晓场理论：基于信息熵守恒的跨尺度统一模型及其可检验预言
Xiaoxiao Field Theory: A Cross-Scale Unified Model Based on Information Entropy Conservation and Its Testable Predictions
摘要
现代物理学在微观、宏观与宇宙学尺度上面临着一系列看似孤立的系统性偏离，挑战着现有理论框架的完整性。本文提出一条新的物理基本假设——局域信息面密度守恒原理，并在此基础上构建晓晓场理论。该原理断言：任何共动空间二维曲面的信息容量（以贝肯斯坦-霍金熵为上限）在宇宙演化中保持严格守恒，其物理面积的变化由一动态标量场——晓晓场（φ）——的演化予以补偿。该理论不引入任何新的自由参数，却能自然地导出对电子反常磁矩、小行星轨道进动与黑洞阴影直径的跨尺度一致解释。更重要的是，本理论提出了三项可在近未来完成的决定性实验检验。任一实验在5σ置信水平上的否定结果即可证伪本理论；若全部通过，将为构建信息、能量与引力相互统一的终极理论提供实验-理论闭环支撑。
Abstract
Modern physics faces a series of seemingly isolated systematic deviations across microscopic, macroscopic, and cosmological scales, challenging the completeness of existing theoretical frameworks. This paper proposes a new fundamental physical postulatethe principle of conserved local areal information densityand constructs the Xiaoxiao Field Theory upon it. This principle asserts that the information capacity (with the Bekenstein-Hawking entropy as its upper bound) of any comoving two-dimensional surface remains strictly conserved during cosmic evolution, with the variation of its physical area compensated by the evolution of a dynamic scalar field, the Xiaoxiao field (). Without introducing any new free parameters, this theory naturally yields a consistent cross-scale explanation for the electron anomalous magnetic moment, the orbital precession of asteroids, and the shadow diameters of black holes. More importantly, the theory proposes three decisive experimental tests that can be performed in the near future. A negative result from any one of these experiments at a 5 confidence level would falsify the theory; if all are passed, it will provide an experimental-theoretical closed loop supporting the construction of an ultimate theory unifying information, energy, and gravity.关键词
量子引力现象学/信息熵守恒/标量-张量理论/反常磁矩/轨道进动/黑洞阴影/基础物理检验Key words
Quantum Gravity Phenomenology/Information Entropy Conservation/Scalar-Tensor Theory/Anomalous Magnetic Moment/Orbital Precession/Black Hole Shadow/Fundamental Physics Tests引用本文复制引用
张雁秋.晓晓场理论：基于信息熵守恒的跨尺度统一模型及其可检验预言[EB/OL].(2025-10-29)[2026-04-02].https://chinaxiv.org/abs/202510.00198.学科分类
物理学/信息科学、信息技术/数学
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