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Multidimensional Displacement and Optimal Allocation

Rincón, D. · 2026 · Zenodo

This is the record, not the paper. The work itself is the deposit on Zenodo, under the DOI below. What follows is its abstract, as deposited.

Real systems manage displacement across multiple dimensions simultaneously: health, attention, relationships, professional capacity, financial stability, and more. Each dimension has a cost function reflecting the system's resistance to displacement; different dimensions are coupled through shared resources and attention. We develop a general framework for multidimensional displacement dynamics where the total cost is quadratic: D() = 12 ^T A, with A a positive-definite coupling matrix.

By diagonalizing A, we identify the system's fundamental modes: easily-displaced modes (low eigenvalues) and stiff modes (high eigenvalues). We show that health and attention form the stiffest modes (hardest to displace), followed by relational and financial dimensions. Using Lagrange multipliers, we derive the optimal allocation principle: the system should prioritize control effort proportionally to the stiffness eigenvalues, ensuring that modes with the highest cost per unit displacement receive the most attention.

We analyze specific systems (humans, organizations, ecosystems) and show that observed prioritization patterns match the theoretical predictions. This framework provides a mathematical foundation for understanding why certain life domains are treated as non-negotiable while others are flexibly managed.

Read the deposit on Zenodo →doi 10.5281/zenodo.20660389

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