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Entropy2016,18, 370
conïŹguration space is a smoothmanifoldN, described in theLagrangian formalismbya smooth
time-independenthyper-regularLagarangianL :TNâRor, in theHamiltonianformalism,bythe
associatedHamiltonianHL : TâNâR. Let t â âââ
x(t)beamotionof that system,ââx0 = âââ
x(t0)
andââx1
= âââ
x(t0)betheconïŹgurationsof thesystemfor thatmotionat times t0 and t1. Thereexistsanother
motion t ââââxâČ(t)of thesystemforwhichââââxâČ(t0)=ââx1 and ââââ
xâČ(t1)=ââx0: since theequationsofmotion
are invariantby timereversal, themotion t ââââxâČ(t) isobtainedsimplybytakingas initial conditionat
time t0 ââââ
xâČ(t0)= âââ
x(t1)and d âââ
xâČ(t)
dt âŁâŁâŁ
t=t0 =âd âââ
x(t)
dt âŁâŁâŁ
t=t1 .Anothermoreseriousargumentagainstakind
of thermodynamicbehaviourofLagarangianorHamiltoniansystemsrestsonthe famousrecurrence
theoremduetoPoincaré [51]. This theoremasserts indeedthatwhentheusefulpartof thephasespace
of thesystemisofaïŹnite totalmeasure,almostallpoints inanarbitrarilysmallopensubsetof the
phasespaceare recurrent, i.e., themotionstartingof suchapointat time t0 repeatedlycrosses that
opensubsetagainandagain, inïŹnitelymanytimeswhen tâ+â.
Letusnowconsider, insteadofperfectlydeïŹnedstates, i.e.,points inphasespace,statisticalstates,
andaskthequestion:Whenat time t= t0 aHamiltoniansystemonasymplecticmanifold (M,Ï) is in
astatisticalstategivenbysomeprobabilitymeasureofdensityÏ0withrespect to theLiouvillemeasure
λÏ,does its statistical stateconverge,when tâ+â, towards theprobabilitymeasureofaGibbsstate?
This question shouldbemademoreprecise by specifyingwhatphysicalmeaninghas a statistical
stateandinwhatmathematical senseastatistical statecanconverge towards theprobabilitymeasure
ofaGibbsstate. Apositivepartial answerwasgivenbyLudwigBoltzmannwhen,developinghis
kinetic theoryofgases,heprovedhis famous(butcontroversed)Ăta theoremstatingthat theentropy
of thestatistical stateofagasofsmallparticles isamonotonously increasingfunctionof time. This
question, linkedwithtimeirreversibility inphysics, is still thesubjectof important researches,both
byphysicists andbymathematicians. The reader is referred to thepaper [50]byBalian foramore
thoroughdiscussionof thatquestion.
6.3. ExamplesofThermodynamicEquilibria
6.3.1.ClassicalMonoatomic IdealGas
Inclassicalmechanics,adilutegascontainedinavesselat rest inaGalileanreference frameis
mathematicallydescribedbyaHamiltoniansystemmadebya largenumberofverysmallmassive
particles,which interactbyverybrief collisionsbetweenthemselvesorwith thewallsof thevessel,
whosemotionsbetweentwocollisionsare free. LetusïŹrstassumethat theseparticlesarematerial
points and that no external ïŹeld is acting on them, other than that describing the interactions by
collisionswith thewallsof thevessel.
TheHamiltonianofoneparticle inapartof thephasespace inwhich itsmotion is free is simply
1
2m âââpâ2= 1
2m (p21+p 2
2+p 2
3) , with ââp =mââv ,
wherem is themassof theparticle,ââv itsvelocityvectorandââp its linearmomentumvector (in the
consideredGalileanreference frame), p1, p2 and p3 thecomponentsof ââp inaïŹxedorhtonormalbasis
of thephysical space.
LetNbethe totalnumberofparticles,whichmaynothaveall thesamemass.Weusea integer
iâ{1, 2, . . . , N} to label theparticlesanddenotebymi,ââxi ,ââvi ,ââpi themassandthevectorsposition,
velocityandlinearmomentumof the i-thparticle.
TheHamiltonianof thegas is therefore
H= N
â
i=1 1
2mi âââpiâ2+ terms involvingthecollisionsbetweenparticlesandwith thewalls.
29
Differential Geometrical Theory of Statistics
- Titel
- Differential Geometrical Theory of Statistics
- Autoren
- Frédéric Barbaresco
- Frank Nielsen
- Herausgeber
- MDPI
- Ort
- Basel
- Datum
- 2017
- Sprache
- englisch
- Lizenz
- CC BY-NC-ND 4.0
- ISBN
- 978-3-03842-425-3
- Abmessungen
- 17.0 x 24.4 cm
- Seiten
- 476
- Schlagwörter
- Entropy, Coding Theory, Maximum entropy, Information geometry, Computational Information Geometry, Hessian Geometry, Divergence Geometry, Information topology, Cohomology, Shape Space, Statistical physics, Thermodynamics
- Kategorien
- Naturwissenschaften Physik