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Lectures Markov processes
Xe to PCXTEBITst ps.eus B
for Cpsf see a family of consistenttrains prob
if I not specified 7 71Homogeneous if Pat Pe s is a Markov
semigroup
ti tz tn V prob mess on X gV Poe pen ta prob distron X Tg'tBy def ft boy set
EHHH IF Jfk os.tcxs.dex
Cps t f Cx ffcysps.tkdyEffart Ifs Cpstf Xs
Map Ps t i b L bfto ft E Sta f fa E BLh Z IR hueby
o
has facie fixed
Elk.CH Ft.I ElffXtli.iffXdlFe
EIEHEXHIFta.dff.tn i ffXttlFt.ILFlCPtn tnfnXXtn1fn iCXtn.t tt l7eo7
hoCXt
he icxt fe.CH ee tehe G fokki
Elf.dk flXdl7tI pe.t.CfiPe.ezCfz tn
theorem X G B isomorphic Pst consistent
v prob measure on XEy Define foldsMoti tn V Pot Otta c t
Thene F SP Xe having these fold2 Xt is a Markovprocesstrprob psst3 Any MP with trprobyppsithdnds.mest part B V
law as Xt D
Proof 1 Canonical construction Need to checkconsistent pst consistent fold
V Pot Pta tn AE Tk An
V Pta Ptu Aoi XA FAkF An
use Pth Perth Pth it i
2 Need to check VtzsPCXTEBIFIIpstcxs.to
to do this show V A EGGS
PCXTEB.Xeo.ge tl ELtIxeo aPstCXs.Blb
Sufficient to check on
A Xs EA Xs Are Vs.ssz.ES ss
A AKELIPCXtEBXs.CA Xs EA
ECPsfXs B IKEA tea
check equality by recursion formula3 Any MP with PCXIEB v B andtrans prob
Pst has same law as XtIndeed musthave same fold's Recursion
same law D
wts a
PCXEA IG Y for XE m F YangCr F P GEF
call Z PCXEAIGwts 2 Y a s
E I ECYI TAEL Ya'sequivalently W cmy W Y
E WII O VAE.by W O a s
A w W OY EW 1 0
Pu the law of MP Xt with trans prob PstXo V unique on
Hot gamyPx Pq xEX
Lemmy TAE geom xn RICAins measurable on L and
113 1,117 olds t.PL fxlPxlAIvcdD
Example Xt o indep increments
is Markov
PCXtEBIFIJ PCXEXSEB X.ITPsfXs B
PstGB P sCB x
If Xt stationary indep increm
homogeneous MP because
Pxt xs only depend out s
Eg Wt standard Wiener process
Homogeneous Markov
X Ziatt Wt for Zindepotchtalso Markov Xt Xs alt 5 NEWS
homog
Peady texp_Y 5fdy
Def P law MP with semigroupahomogeneous
prob measure von G is invariant forptif Pu ftp.vldx is invariantunder
shift
Pu A 11765CAD is
Lemmy v invariant pt ifOpec Xx B vCB ABEL
tzoie Pelt B Hok VB g
Proposition Markovproperty Pt oMarkov semigroup
on X Ey Px law of Xt to homogMPstarted at x he byThen
µ Exhix is in mg2 Ethos XIII Ex NX
ex
m
Proof Prove 1 and 2 forOst s Ethha fixed fnktnf fuEbey
and extend to generalhebgby monotone class linearity ofexpt bold our
h Osx fncxs.it o ofnCxs tn
EChlosXllFsT EIffXs tI ifIXs t lIs7ho Xs
hncxtfr.CH he IG fe.filCPte.ys tetshe
he IGI fe.fxl.CItete.fre Cx Pte te i
rds E h X
E h X E en fixed hok
Ex.hu h.CXs equal to IhsD
Px Ps prob measure on 2190 g40
p X90 1
P w withEA whileAn
potCx XO Pta tn CAH An
P w att cAG Path Al
Fat consistent trans prob
Fat pts Pt
Pt Xx G 7 Eo DG B 1 Pth B
Ptps pt sle.pt GB JPsly Bptk.dyl.PoPEPt
Pt tzo Pe Ps 12 PtPs Pets