Physics of Knowing: A First-Principles Derivation from Information Mismatch to Balance Laws and Flow-Induced Geometry

dc.contributor.authorSungwan Boksuwan
dc.date.accessioned2026-05-08T19:26:53Z
dc.date.issued2026-4-15
dc.description.abstractWe 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.doi10.5281/zenodo.19594052
dc.identifier.urihttps://dspace.kmitl.ac.th/handle/123456789/20808
dc.publisherZenodo (CERN European Organization for Nuclear Research)
dc.subjectStatistical Mechanics and Entropy
dc.subjectTopological and Geometric Data Analysis
dc.subjectEmbodied and Extended Cognition
dc.titlePhysics of Knowing: A First-Principles Derivation from Information Mismatch to Balance Laws and Flow-Induced Geometry
dc.typePreprint

Files

Collections