Pith. sign in

REVIEW

A new discrete calculus of variations and its applications in statistical physics

Not yet reviewed by Pith; the record is open.

This paper has not been read by Pith yet. Machine review is queued; the pith claim, tier, and objections will appear here once it completes.

SPECIMEN: schema-true, not a live event

T0 review · schema-true

One-sentence machine reading of the paper's core claim.

pith:XXXXXXXX · record.json · timestamp

arxiv 2104.11075 v1 pith:SLH5NPXS submitted 2021-04-21 physics.gen-ph physics.chem-ph

A new discrete calculus of variations and its applications in statistical physics

classification physics.gen-ph physics.chem-ph
keywords leftrightdeltadiscretedifferenceordervariationsbackward
verification ladder T0 review T1 audit T2 compute T3 formal T4 reserved
0 comments
read the original abstract

For a discrete function $f\left( x\right) $ on a discrete set, the finite difference can be either forward and backward. However, we observe that if $ f\left( x\right) $ is a sum of two functions $f\left( x\right) =f_{1}\left( x\right) +f_{2}\left( x\right) $ defined on the discrete set, the first order difference of $\Delta f\left( x\right) $ is equivocal for we may have $ \Delta ^{f}f_{1}\left( x\right) +\Delta ^{b}f_{2}\left( x\right) $ where $ \Delta ^{f}$ and $\Delta ^{b}$ denotes the forward and backward difference respectively. Thus, the first order variation equation for this function $ f\left( x\right) $ gives many solutions which include both true and false one. A proper formalism of the discrete calculus of variations is proposed to single out the true one by examination of the second order variations, and is capable of yielding the exact form of the distributions for Boltzmann, Bose and Fermi system without requiring the numbers of particle to be infinitely large. The advantage and peculiarity of our formalism are explicitly illustrated by the derivation of the Bose distribution.

discussion (0)

Sign in with ORCID, Apple, or X to comment. Anyone can read and Pith papers without signing in.