A Stratified Algebraic-Geometric Novel B-Bio Framework for Multi-Modal Biological Dynamics

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Authors: Abhishek Bansal
Cited by: 0

Abstract

Classical mathematical frameworks such as Hilbert and Banach spaces, and smooth differentiable manifolds provide powerful tools for analysis, geometry, and dynamics, yet they face structural limitations when modeling systems exhibiting heterogeneous modalities such as persistence, transience, oscillation, orientation, transport, and irreversibility. In this work, we introduce a stratified algebraic-geometric framework in which physiological or multi-modal states evolve on algebra-valued fibers rather than linear spaces, enabling a unified representation of complex behaviors. The proposed construction replaces traditional vector-valued fibers with graded direct sums of distinct algebraic components, including real, complex, nilpotent, quaternionic, dual-quaternionic, split-quaternionic, and strictly localized non-associative sectors, each encoding specific dynamical modalities. Dynamics are governed by a graded connection controlling inter-layer interactions, and curvature measures incompatibilities between processes rather than spatial bending. This interpretation provides a mathematically precise notion of irreversibility and physiological memory. Classical structures such as rotation groups and transport semigroups arise naturally as restricted substructures, preserving compatibility with established mechanics while extending expressivity. The framework thus shifts modeling from signal processing on linear spaces to deterministic evolution on structured algebraic bundles. This approach enables transient effects, orientation, and nonlinear coupling to be represented intrinsically. Beyond biology, the framework offers a general paradigm within applied mathematics for systems requiring simultaneous representation of diverse dynamical modes.

Fields of Study & Subjects

Control and Stability of Dynamical Systems Slime Mold and Myxomycetes Research Elasticity and Material Modeling

Publication details

Publication date
7 January 2026
Document type
Preprint