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Entropy2016,18, 370
configuration space is a smoothmanifoldN, described in theLagrangian formalismbya smooth
time-independenthyper-regularLagarangianL :TN→Ror, in theHamiltonianformalism,bythe
associatedHamiltonianHL : T∗N→R. Let t → −−→
x(t)beamotionof that system,−→x0 = −−→
x(t0)
and−→x1
= −−→
x(t0)betheconfigurationsof thesystemfor thatmotionat times t0 and t1. Thereexistsanother
motion t →−−→x′(t)of thesystemforwhich−−−→x′(t0)=−→x1 and −−−→
x′(t1)=−→x0: since theequationsofmotion
are invariantby timereversal, themotion t →−−→x′(t) isobtainedsimplybytakingas initial conditionat
time t0 −−−→
x′(t0)= −−→
x(t1)and d −−→
x′(t)
dt ∣∣∣
t=t0 =−d −−→
x(t)
dt ∣∣∣
t=t1 .Anothermoreseriousargumentagainstakind
of thermodynamicbehaviourofLagarangianorHamiltoniansystemsrestsonthe famousrecurrence
theoremduetoPoincaré [51]. This theoremasserts indeedthatwhentheusefulpartof thephasespace
of thesystemisofafinite totalmeasure,almostallpoints inanarbitrarilysmallopensubsetof the
phasespaceare recurrent, i.e., themotionstartingof suchapointat time t0 repeatedlycrosses that
opensubsetagainandagain, infinitelymanytimeswhen t→+∞.
Letusnowconsider, insteadofperfectlydefinedstates, i.e.,points inphasespace,statisticalstates,
andaskthequestion:Whenat time t= t0 aHamiltoniansystemonasymplecticmanifold (M,ω) is in
astatisticalstategivenbysomeprobabilitymeasureofdensityρ0withrespect to theLiouvillemeasure
λω,does its statistical stateconverge,when t→+∞, towards theprobabilitymeasureofaGibbsstate?
This question shouldbemademoreprecise by specifyingwhatphysicalmeaninghas a statistical
stateandinwhatmathematical senseastatistical statecanconverge towards theprobabilitymeasure
ofaGibbsstate. Apositivepartial answerwasgivenbyLudwigBoltzmannwhen,developinghis
kinetic theoryofgases,heprovedhis famous(butcontroversed)Êta 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. Letusfirstassumethat theseparticlesarematerial
points and that no external field 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 ‖−→p‖2= 1
2m (p21+p 2
2+p 2
3) , with −→p =m−→v ,
wherem is themassof theparticle,−→v itsvelocityvectorand−→p its linearmomentumvector (in the
consideredGalileanreference frame), p1, p2 and p3 thecomponentsof −→p inafixedorhtonormalbasis
of thephysical space.
LetNbethe totalnumberofparticles,whichmaynothaveall thesamemass.Weusea integer
i∈{1, 2, . . . , N} to label theparticlesanddenotebymi,−→xi ,−→vi ,−→pi themassandthevectorsposition,
velocityandlinearmomentumof the i-thparticle.
TheHamiltonianof thegas is therefore
H= N
∑
i=1 1
2mi ‖−→pi‖2+ terms involvingthecollisionsbetweenparticlesandwith thewalls.
29
Differential Geometrical Theory of Statistics
- Title
- Differential Geometrical Theory of Statistics
- Authors
- Frédéric Barbaresco
- Frank Nielsen
- Editor
- MDPI
- Location
- Basel
- Date
- 2017
- Language
- English
- License
- CC BY-NC-ND 4.0
- ISBN
- 978-3-03842-425-3
- Size
- 17.0 x 24.4 cm
- Pages
- 476
- Keywords
- Entropy, Coding Theory, Maximum entropy, Information geometry, Computational Information Geometry, Hessian Geometry, Divergence Geometry, Information topology, Cohomology, Shape Space, Statistical physics, Thermodynamics
- Categories
- Naturwissenschaften Physik