izpis_h1_title_alt

Boltzmann-Gibbsova porazdelitev denarja : delo diplomskega seminarja
Mehle, Tjaša (Author), Vidmar, Matija (Mentor) More about this mentor... This link opens in a new window

.pdfPDF - Presentation file, Download (301,50 KB)
MD5: 0818D372A5D2BEA43936871606DF7B19

Abstract
To delo obravnava uporabo metod fizike na statističnih modelih za porazdelitev denarja, kot primer pristopa ekonofizike. V zaprtem gospodarskem sistemu se denar ohranja. Po analogiji z energijo mora ravnotežje verjetnostne porazdelitve denarja slediti Boltzmann-Gibbsovem zakonu, pri čemer je efektivna temperatura enaka povprečnemu znesku denarja na agenta. Numerične simulacije kažejo, da to drži vsaj takrat, ko je število agentov in povprečni znesek denarja na agenta velik. Glavni cilj diplomskega dela je ta rezultat dokazati.

Language:Slovenian
Keywords:statistična mehanika, Boltzmann-Gibbsov zakon, gospodarstvo, verjetnostna porazdelitev, stacionarna porazdelitev, simetrija obrata časa, ohranitveni zakon, Markovske verige
Work type:Bachelor thesis/paper (mb11)
Organization:FMF - Faculty of Mathematics and Physics
Year:2020
UDC:519.2
COBISS.SI-ID:33316611 This link opens in a new window
Views:225
Downloads:75
Metadata:XML RDF-CHPDL DC-XML DC-RDF
 
Average score:(0 votes)
Your score:Voting is allowed only to logged in users.
:
Share:AddThis
AddThis uses cookies that require your consent. Edit consent...

Secondary language

Language:English
Title:The Boltzmann-Gibbs distribution of money
Abstract:
This paper is concerned with the application of the methods of physics to statistical models for money distribution as an example of the approach of econophysics. In a closed economic system, money is conserved. By analogy with energy, the equilibrium probability distribution of money must follow the exponential Boltzmann-Gibbs law characterized by an effective temperature equal to the average amount of money per economic agent. Numerical simulations suggest that at least when the number of agents and the average amount of money per agent are large, this is true. The main objective of this paper is to give a rigorous proof of this result.

Keywords:statistical mechanics, Boltzmann-Gibbs law, economy, probability distribution, stationary distribution, time-reversal symmetry, conservation law, Markov chains

Similar documents

Similar works from RUL:
Similar works from other Slovenian collections:

Comments

Leave comment

You have to log in to leave a comment.

Comments (0)
0 - 0 / 0
 
There are no comments!

Back