2004/02/11 by David Ford, Ford, David · 1 citation
Physics and Astronomy · #Advanced Thermodynamics and Statistical Mechanics #Cellular Automata and Lattice Gases (nlin.CG) #Data Analysis #FOS: Physical sciences #Other Condensed Matter (cond-mat.other) #Statistical Mechanics (cond-mat.stat-mech) #Statistics and Probability (physics.data-an) #cond-mat.other #cond-mat.stat-mech #nlin.CG #physics.data-an
paper · pdf · doi:10.48550/arxiv.cond-mat/0402325
18 pages, 1 figure
openalex publication_date 2004/02/11 · arxiv created 2004/02/12 · arxiv updated 2009/12/01 · openalex created_date 2022/09/11 · openalex updated_date 2026/07/28
In traditional thermodynamical and statistical-mechanical approaches one has (some) detailed knowledge of the principles governing the microdynamics of a system. However in many instances we may not have a Hamiltonian or good information about the degrees of freedom (or, in a roughly complementary sense, the redundancies in observed data), but on the other hand we have access to a preponderance of raw data. The development outlined here is an attempt to apply the principles of thermodynamics and statistical mechanics generically to such cases.