TENSOR KUZNETSOVA ENTROPIC EVOLUTION

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Authors: Kuznetsov Vyacheslav
Cited by: 0

Abstract

This paper formulates the Kuznetsov Tensor Hypothesis of the Origin, proposing a newfundamental framework for understanding the emergence of living systems. Unlike classicalabiogenesis models that rely primarily on probabilistic chemical pathways, the presenthypothesis treats life as an inevitable outcome of matter evolution in open, nonequilibriumsystems governed by a generalized tensorial structure. The Kuznetsov tensor is introduced as anoperator that defines the geometry of admissible trajectories of matter in state space anddetermines the direction of entropic evolution.It is shown that in complex environments exhibiting space–time anisotropy—such as prebioticmicroenvironments, microfluidic systems, or cosmochemical structures—matter evolves alongentropic geodesics corresponding to the local minimization of a generalized entropy–informationfunctional. Within this framework, living and proto-living systems are interpreted as stabletensorial configurations capable of retaining and reproducing information. Replication andmetabolic cyclicity are not treated as primary biological attributes but as emergent consequencesof the geometry and dynamics imposed by the environmental tensor field.The proposed hypothesis unifies physics, thermodynamics, chemistry, and biology into a singletheoretical scheme and leads to a cosmological implication: whenever an open system withnonzero tensorial anisotropy exists, the emergence of life-like, viable structures becomesunavoidable. The experimental testability of the hypothesis is discussed across microscopic andmacroscopic platforms, including controlled microfluidic systems and natural astrophysicalenvironments. The implications for astrobiology, self-organization theory, and the search forextraterrestrial life are also addressed.

Fields of Study & Subjects

Origins and Evolution of Life Earth Systems and Cosmic Evolution Space Science and Extraterrestrial Life

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
5 January 2026