On the Necessity and Construction of the B-Bio Mathematical Framework for Multi-Modal Biological Dynamics and Clinical Interpretation

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Authors: Abhishek Bansal
Cited by: 0

Abstract

Biological systems integrate persistence, oscillation, transient activation, directed transport, and irreversible evolution within a single physiological state. Classical mathematical frameworks-Hilbert and Banach spaces, topological spaces, smooth manifolds, and conventional fiber bundles-provide rigorous analytical and geometric tools, yet they remain structurally insufficient for encoding these heterogeneous features intrinsically. Their reliance on fixed scalar fields, linear tangent spaces, metric compatibility, and reversible Hamiltonian dynamics forces essential physiological constraints to be imposed externally rather than arising from the state space itself. This work establishes the necessity of the B-Bio mathematical framework through the construction of the Bansal algebra, Bansal manifold, and Bansal fiber bundle. In this formulation, the base manifold indexes physiological context, while each fiber is a stratified algebra rather than a vector space. Distinct algebraic layers encode scalar observables, oscillatory phase, transient effects, orientation, rigid motion, hyperbolic transport, and strictly local biochemical interactions without collapsing their algebraic roles. A graded Bansal connection governs admissible inter-layer coupling, and curvature measures order-dependent physiological incompatibility rather than spatial bending. Classical Hilbert, symplectic, Hamiltonian, and Ricci-type structures arise as restricted projections of the Bansal fiber bundle. The resulting framework provides a mathematically grounded foundation for multi-modal biological dynamics and clinically interpretable state evolution.

Fields of Study & Subjects

Mathematical Biology Tumor Growth Gene Regulatory Network Analysis Mathematical and Theoretical Epidemiology and Ecology Models

Publication details

Publication date
7 January 2026
Document type
Preprint