This paper proposes a new cross-disciplinary first principle, the Bipolar Flow Principle, which states that maximal transport efficiency in any closed or quasi-closed system is achieved only in two limiting configurations: (i) complete spatial homogeneity of medium properties and resistance, or (ii) complete centralization of potential into a single dominant sink or source. Intermediate heterogeneous distributions inevitably generate impedance mismatch, stagnation, scattering, and phase decoherence, thereby reducing global flow efficiency. The principle is formulated in a geometric and variational framework and shown to be scale-invariant and independent of the specific nature of the carrier (electrons, molecules, mass, signals, or economic agents). Applications are discussed across physics (electric conduction, gravitation, fluid flow), biology (circulatory and neural systems), information theory, linguistics, urban dynamics, and economic circulation. The Bipolar Flow Principle provides a unifying explanation for why natural and social systems tend to evolve either toward uniform diffusion states or toward highly centralized structures, while partially clustered intermediate states remain dynamically unstable and prone to congestion. It establishes a common geometric foundation for understanding circulation, accumulation, and transport optimization across the natural and social sciences.
Tetsuo Konno (2026) studied this question.