2018/03/09 by Alexander N. Gorban, A. N. Gorban · 1 citation
Mathematics · Physics and Astronomy · #Advanced Differential Equations and Dynamical Systems #Analytic and geometric function theory #Holomorphic and Operator Theory #Key (lock) #Rigour #Theme (computing) #math-ph #math.HO #math.MP #physics.hist-ph
paper · pdf · doi:10.1098/rsta.2017.0238
published as Phil. Trans. R. Soc. A volume 376, issue 2118, 20170238, 2018 · With portrait of David Hilbert, Courtesy the artist Anna Gorban
arxiv created 2018/03/09 · openalex publication_date 2018/03/19 · arxiv updated 2018/03/20 · openalex created_date 2018/03/29 · openalex updated_date 2026/08/05
Introduction to the special issue of Phil. Trans. R. Soc. A 376, 2018, `Hilbert's Sixth Problem'. The essence of the Sixth Problem is discussed and the content of this issue is introduced. In 1900, David Hilbert presented 23 problems for the advancement of mathematical science. Hilbert's Sixth Problem proposed the expansion of the axiomatic method outside of mathematics, in physics and beyond. Its title was shocking: "Mathematical Treatment of the Axioms of Physics." Axioms of physics did not exist and were not expected. During further explanation, Hilbert specified this problem with special focus on probability and "the limiting processes, ... which lead from the atomistic view to the laws of motion of continua". The programmatic call was formulated "to treat, by means of axioms, those physical sciences in which already today mathematics plays an important part." This issue presents a modern slice of the work on the Sixth Problem, from quantum probability to fluid dynamics and machine learning, and from review of solid mathematical and physical results to opinion pieces with new ambitious ideas. Some expectations were broken: The continuum limit of atomistic kinetics may differ from the classical fluid dynamics. The "curse of dimensionality" in machine learning turns into the "blessing of dimensionality" that is closely related to statistical physics. Quantum probability facilitates the modelling of geological uncertainty and hydrocarbon reservoirs. And many other findings are presented.