Quantcast
  • Register
PhysicsOverflow is a next-generation academic platform for physicists and astronomers, including a community peer review system and a postgraduate-level discussion forum analogous to MathOverflow.

Welcome to PhysicsOverflow! PhysicsOverflow is an open platform for community peer review and graduate-level Physics discussion.

Please help promote PhysicsOverflow ads elsewhere if you like it.

News

PO is now at the Physics Department of Bielefeld University!

New printer friendly PO pages!

Migration to Bielefeld University was successful!

Please vote for this year's PhysicsOverflow ads!

Please do help out in categorising submissions. Submit a paper to PhysicsOverflow!

... see more

Tools for paper authors

Submit paper
Claim Paper Authorship

Tools for SE users

Search User
Reclaim SE Account
Request Account Merger
Nativise imported posts
Claim post (deleted users)
Import SE post

Users whose questions have been imported from Physics Stack Exchange, Theoretical Physics Stack Exchange, or any other Stack Exchange site are kindly requested to reclaim their account and not to register as a new user.

Public \(\beta\) tools

Report a bug with a feature
Request a new functionality
404 page design
Send feedback

Attributions

(propose a free ad)

Site Statistics

205 submissions , 163 unreviewed
5,082 questions , 2,232 unanswered
5,354 answers , 22,792 comments
1,470 users with positive rep
820 active unimported users
More ...

  Mathematical modeling technique of entropy increasing and decreasing process

+ 0 like - 0 dislike
1540 views

The entropy(both thermodynamic and computational) increasing and decreasing(e.g. caused by the manipulation of some Maxwell's demon) of a system, e.g. the formation or decomposition of structures, sometimes is a gradual process. Is there a mathematical modeling technique in some field of theoretical physics can be applied to measuring or monitoring such a process?

asked Oct 11, 2018 in Theoretical Physics by TempleSweeper (5 points) [ revision history ]

Is this question too difficult to answer?

1 Answer

+ 0 like - 0 dislike

You can use Boltzmann's H-Theorem to compute the entropy increase or decrease with time.

Consider you have a collision term $C(f)$ for the probability Distribution function $f$, where it holds e.g. $\frac{Df}{Dt} = C(f)$. Let $s = \ln f$ (generates the entropy density); multiply the collision term by $s$ and integrate over the phase space $\Sigma$. Then you have (<> denotes the average)

$\frac{D<s>}{Dt} = \int_{\Sigma}d \sigma sC(f).$ (*)

Suppose that there exists an equilibrium probability Density $f_0$ with $C(f_0) = 0$ (no entropy production). The Distribution function depends on all of the the $i$-th Phase space variables $x_i$. From this you can expand the non-equilibrium probability Density in Terms of the Equilibrium Density by the series expansion

$f = (1+ (<x_i> - <x_i>_0)\frac{\partial}{\partial x_i} + (<x_ix_j>-<x_j><x_i>_0-<x_j>_0<x_i>$ 

$-<x_ix_j>_0)\frac{\partial^2}{\partial x_i \partial x_j} + \dots)f_0$ (Summation convention is used).

The $<>_0$ is averaging with Equilibrium Distribution function; These are also known. You can convince yourself, that this Expansion holds by taking various Moments of this and using that Integration of a total derivative vanishes.

Substituting this Expansion into the equation (*) gives you an Expansion of the entropy production rate in all nonequilibrium Moments $<x_i>,<x_ix_j>$. You will have a Connection between the entropy Change and some other quantities that are easy to measure.

answered Oct 19, 2018 by PatrickLinker (40 points) [ revision history ]

@PatrickLinker Would you please recommend me any materials(books, papers, etc.) elaborating Boltzmann's H-Theorem available from Internet free or not free, please?

Thanks a lot!

Your answer

Please use answers only to (at least partly) answer questions. To comment, discuss, or ask for clarification, leave a comment instead.
To mask links under text, please type your text, highlight it, and click the "link" button. You can then enter your link URL.
Please consult the FAQ for as to how to format your post.
This is the answer box; if you want to write a comment instead, please use the 'add comment' button.
Live preview (may slow down editor)   Preview
Your name to display (optional):
Privacy: Your email address will only be used for sending these notifications.
Anti-spam verification:
If you are a human please identify the position of the character covered by the symbol $\varnothing$ in the following word:
p$\hbar$y$\varnothing$icsOverflow
Then drag the red bullet below over the corresponding character of our banner. When you drop it there, the bullet changes to green (on slow internet connections after a few seconds).
Please complete the anti-spam verification




user contributions licensed under cc by-sa 3.0 with attribution required

Your rights
...