Derivation of the Euler Equation from Hamiltonian Systems with Negligible Random Noise
Horng-Tzer Yau
Additional contact information
Horng-Tzer Yau: New York University, Courant Institute of Mathematical Sciences
A chapter in Mathematical Physics X, 1992, pp 360-363 from Springer
Abstract:
Abstract The Euler equation of conservation law has been one of the fundamental equations in fluid dynamics since its discovery two centuries ago. Although there are disputes regarding its maximum range of applicability, it has been firmly established in suitable region. In principle, it is a logical consequence of Newtonian mechanics and a rigorous derivation of it from Newton’s equation should be possible. Certainly some scaling has to be chosen and Euler equation is exact only in the scaling limit. This problem indeed is much harder than it appears, as Euler equation involves thermodynamical quantities such as pressure and temperature while classical Hamiltonian systems are characterized by the pair potential. So there is a link via classical statistical mechanics which does not enter explicitly in the classical Hamiltonain systems. In other words, to prove Euler equation from classical Hamiltonian systems one in a certain sense justifies Boltzmann’s principle from classical mechanics. So far no one knows how to achieve this except in some artificial systems. The known results in this direction include: a heuristic derivation of Euler equation by assuming some strong ergodic property and all equilibrium states being Gibbs; one dimensional hard rod systems; Lanford’s theorem in the small time and low density limit. (For a review see [3].) In this note, I shall report some recent progress in this direction done in collaboration with S. Olla and S. R. S. Varadhan [2].
Keywords: Hamiltonian System; Euler Equation; Relative Entropy; Pair Potential; Gibbs State (search for similar items in EconPapers)
Date: 1992
References: Add references at CitEc
Citations:
There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-642-77303-7_36
Ordering information: This item can be ordered from
http://www.springer.com/9783642773037
DOI: 10.1007/978-3-642-77303-7_36
Access Statistics for this chapter
More chapters in Springer Books from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().