Physics of Knowing: A First-Principles Derivation from Information Mismatch to Balance Laws and Flow-Induced Geometry
| dc.contributor.author | Sungwan Boksuwan | |
| dc.date.accessioned | 2026-05-08T19:26:53Z | |
| dc.date.issued | 2026-4-15 | |
| dc.description.abstract | We develop a first-principles framework for the physics of knowing, derivingepistemic dynamics from information mismatch. Under minimal structuralassumptions, mismatch induces a quadratic energetic injection, leading toa balance law dE/dt = I - D that governs epistemic evolution. We show that the resulting imbalance field induces a minimal deformation ofthe affine connection on an augmented manifold, while the metric remains fixed.Thus, geometry is not imposed but emerges from imbalance-driven flow. At thermodynamic closure, imbalance vanishes and trajectories recover geodesicmotion. This provides a structural link between learning, thermodynamics,and geometry, and offers a new perspective in which dynamics arise intrinsicallyfrom information discrepancy rather than external optimization. | |
| dc.identifier.doi | 10.5281/zenodo.19594052 | |
| dc.identifier.uri | https://dspace.kmitl.ac.th/handle/123456789/20808 | |
| dc.publisher | Zenodo (CERN European Organization for Nuclear Research) | |
| dc.subject | Statistical Mechanics and Entropy | |
| dc.subject | Topological and Geometric Data Analysis | |
| dc.subject | Embodied and Extended Cognition | |
| dc.title | Physics of Knowing: A First-Principles Derivation from Information Mismatch to Balance Laws and Flow-Induced Geometry | |
| dc.type | Preprint |