The Hamiltonian formalism and quantum-mechanical analogy in the probabilistic description of turbulence

2015 ◽  
Vol 70 (4) ◽  
pp. 217-225
Author(s):  
V. P. Yushkov
1997 ◽  
Vol 89 (3-4) ◽  
pp. 605-632 ◽  
Author(s):  
Julius Bene ◽  
Zoltán Kaufmann ◽  
Hans Lustfeld

1975 ◽  
Vol 28 (6) ◽  
pp. 715
Author(s):  
JJ Monaghan

The problem of establishing the Rayleigh-Jeans law for equilibrium electromagnetic radiation in a cavity is studied without making the customary simplifying assumptions. By using a Hamiltonian formalism analogous to that introduced by Fermi for quantum electrodynamics the analysis is simplified, general expressions for absorption and emission are obtained, and the correspondence with the quantum mechanical treatment is established. The model considered consists of a cavity which contains classical charged particles which move in an arbitrary potential while interacting with electromagnetic radiation. The work covers much the same ground as the fundamental but neglected work of McLaren, though the methods used are simpler and more direct. The applications are to those parts of radio astronomy where the wavelengths are sufficiently large to allow a classical description. In particular, Twiss's analysis of stimulated emission at radio wavelengths is incorporated in the analysis.


1975 ◽  
Vol 28 (5) ◽  
pp. 495 ◽  
Author(s):  
Kwong-Chuen Tam

A quantum-mechanical wave equation for two particles of spin 0 is presented in Hamiltonian formalism and is then simplified and discussed. Solutions are found for square-well and Coulomb interactions, and energy levels are determined. It is shown that, for the Coulomb interaction, the energy levels to the lowest order agree with those given by the hydrogen atom formula.


2016 ◽  
pp. 3353-3373
Author(s):  
G. Vincze ◽  
A. Szasz

We describe the basic quantum-mechanical categories and properties of the thermodynamical basis of Onsager’s theorem. 3 basic principles are used: 1. energy dissipation; 2. Hamiltonian formalism; 3. Onsager’s linearity. We obtain the 2 characteristic values of the observables, their main-value and the deviation, the first and second momentums of the probability distribution function, which we also derived also from the same principles. 


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