Development of a Stochastic Interpretation of Quantum Mechanics by E. Nelson. Derivation of the Schrodinger-Euler-Poisson Equations
Mikhail Batanov-Gaukhman

TL;DR
This paper develops a stochastic interpretation of quantum mechanics by combining principles of least action and maximum entropy, deriving stochastic Schrödinger-Euler-Poisson equations that describe quantum states across scales.
Contribution
It introduces a novel approach by integrating two fundamental principles into a unified extremum principle, leading to stochastic equations that generalize quantum mechanics.
Findings
Derived stochastic Schrödinger-Euler-Poisson equations
Connected the equations to the standard Schrödinger equations with coefficients
Expressed the Planck constant to mass ratio through averaged stochastic characteristics
Abstract
The aim of the article is to develop the stochastic interpretation of quantum mechanics by E. Nelson on the basis of balancing the intra-systemic contradiction (i.e., antisymmetry) between "order" and "chaos". For the set task, it is proposed to combine two mutually opposite system-forming principles: "the principle of least action" and "the principle of maximum entropy" into one the "principle of averaged efficiency extremum". In a detailed consideration of the averaged states of a chaotically wandering particle, the time-independent (stationary) and time-dependent stochastic Schrodinger-Euler-Poisson equations are obtained as conditions for finding the extremals of the functional of the globally averaged efficiency functional of the stochastic system under study. The resulting stochastic equations coincides with the corresponding Schrodinger equations up to coefficients. In this case,…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsComplex Systems and Dynamics · Scientific Research and Philosophical Inquiry · Heat Transfer and Mathematical Modeling
