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本文提出一条假设(postulate),并只说清它的形式与边界。假设:宇宙中每一个存在对象——不论微观或宏观——都携带一个阴阳二相呼吸态;该态由一对对偶量描述(本文记"阳/阴",对应扩张/收敛两相);这对量的总量(归一化)不严格守恒——每一次往复,扩张比收敛多出一点,记作 η ≠ 0。在此前提下,本文说清其形式(二相态、呼吸浮动 η、方向、挣脱偏角 Δ = η·κ),列出该假设直接给出的几条陈述(R1–R5,其中 R5 给出一条可与观测对表的判别:由往复而生的量其累积正比于往复次数,不由往复而生的量不随往复次数变化),并标出可被证伪的边界(若存在 η ≡ 0 的边界对象,则其普遍性失效)。本文不证明、不验算任何东西;不含过程与累积结构、离散计数、分层读法、量子化与单次探测机制;不使用任何经验常数。这是物理学"先立假设、再做检验"这一标准路径的第一步。本文尚未得到任何实验验证。关键词:阴阳二相呼吸态;普遍状态假设;归一化不守恒;呼吸浮动;方向偏好;时间的不可逆;自激;可证伪性;PGI蛟龙;华夏思哲偏元注;陈偏贞;老陈与AI的深夜实验室。——老陈与AI的深夜实验室 发布 请笑纳—— This paper puts forward one postulate, and states only its form and its boundaries. Hypothesis: every existent object — microscopic or macroscopic — carries a Yin–Yang two-phase breathing state; the state is described by a pair of dual quantities (written Yang / Yin, for the expanding and the contracting phase); their total (the normalization) is not strictly conserved — in each round of recurrence the expanding phase exceeds the contracting phase by a little, written η ≠ 0. From this premise the paper sets out the form (the two-phase state, the breathing float η, direction, the escape bias Δ = η·κ), lists the statements the hypothesis gives directly (R1–R5, among which R5 gives a discriminant that can be checked against observation: a quantity born of recurrence grows in proportion to the number of rounds, while a quantity not born of recurrence does not vary with it), and marks its falsification line (if a boundary object with η ≡ 0 exists, the universality fails). The paper proves nothing and verifies nothing; it contains no process/accumulation structure, no discrete counting, no layered reading, and no quantization or single-detection mechanism; it uses no empirical constants. This is the first step of the standard physics path "postulate first, test afterwards". This work has not yet been independently verified by experiment. Keywords: Yin–Yang two-phase breathing state, universal state postulate, non-conservation of normalization, breathing float, directional preference, irreversibility of time, self-excitation, falsifiability, PGI蛟龙, 华夏思哲偏元注 (Huaxia Sizhe Pianyuan Zhu), 陈偏贞, 老陈与AI的深夜实验室 (Chensong_AI_LateNightLab). — Published by Lao Chen & AI's Late Night Lab. Please accept with a smile.
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Song Chen (2026) studied this question.
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