Canonical distribution and incompleteness of quantum mechanics
V. A. Skrebnev

TL;DR
This paper questions the completeness of quantum mechanics, presents experimental evidence of its limitations, and introduces a new derivation of canonical distribution considering subquantum processes and probabilistic phenomena beyond quantum theory.
Contribution
It offers a novel analytical derivation of canonical distribution incorporating subquantum processes and explores experimental avenues to study probabilities outside quantum mechanics.
Findings
Experimental data suggest quantum mechanics is incomplete.
A new derivation of canonical distribution considering subquantum processes.
Potential for experimental investigation of probabilities beyond quantum theory.
Abstract
The paper discusses the physical groundlessness of the models used for the derivation of canonical distribution and provides the experimental data demonstrating the incompleteness of quantum mechanics. The possibility of using statistical ensembles is presented as a consequence of the existence of probabilistic processes which are not accounted for by quantum mechanics. The paper provides a new analytical derivation of canonical distribution for macrosystems which takes into account subquantum processes. The paper discusses the possibility of the experimental study of a probability which is beyond quantum mechanics.
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Taxonomy
TopicsQuantum Mechanics and Applications · Statistical Mechanics and Entropy · Advanced Thermodynamics and Statistical Mechanics
