The Dynamic Stability Signature: A Cross-Scale Framework for Asymmetrical Balance in Complex Systems

Abstract This study proposes a conceptual framework in which asymmetric ratios—represented here by the approximate 70/30 distribution—are examined as potential indicators of dynamic stability in complex systems. Rather than asserting a fixed universal constant, the paper explores whether such ratios may reflect a broader stability range observed across different scales. Beginning with the large-scale energy distribution between Dark Energy and Dark Matter, the analysis extends to biological, atmospheric, and social systems to investigate possible isomorphic patterns of asymmetrical balance. Drawing on selected empirical observations, the study further suggests that the notion of “memory” within fractal or complex systems may function not only as a passive record of past states, but also as an active regulatory mechanism that constrains and preserves systemic proportions. In addition, the framework considers temporary deviations from these balance states—particularly during processes such as formation, transition, or structural emergence—not as failures, but as potentially adaptive phases intrinsic to system evolution. This perspective aims to contribute to an integrative understanding of stability as a dynamic and scale-dependent phenomenon.