59.2. KOLMOGOROV EXTENSION THEOREM FOR POLISH SPACES 1863

Then P0 is well defined because of the consistency condition on the measures νJ . P0 isclearly finitely additive because the νJ are measures and one can pick J as large as desiredto include all t where there may be something other than Mt . Also, from the definition,

P0 (Ω)≡ P0

(∏t∈I

Mt

)= ν t1 (Mt1) = 1.

Next I will show P0 is a finite measure on E . After this it is only a matter of using theCaratheodory extension theorem to get the existence of the desired probability measure P.

Claim: Suppose En is in E and suppose En ↓ /0. Then P0 (En) ↓ 0.Proof of the claim: If not, there exists a sequence such that although En ↓ /0,P0 (En) ↓

ε > 0. Let En ∈ EJn . Thus it is a finite disjoint union of sets of RJn . By regularity of themeasures νJ , which follows from Lemmas 59.1.8 and 59.1.9, there exists a compact setKJn ⊆ En such that

νJn (πJn (KJn))+ε

2n+2 > νJn (πJn (En))

Thus

P0 (KJn)+ε

2n+2 ≡ νJn (πJn (KJn))+ε

2n+2

> νJn (πJn (En))≡ P0 (En)

The interesting thing about these KJn is: they have the finite intersection property. Here iswhy.

ε ≤ P0(∩m

k=1KJk

)+P0

(Em \∩m

k=1KJk

)≤ P0

(∩m

k=1KJk

)+P0

(∪m

k=1Ek \KJk

)< P0

(∩m

k=1KJk

)+

∑k=1

ε

2k+2 < P0(∩m

k=1KJk

)+ ε/2,

and so P0(∩m

k=1KJk

)> ε/2. In considering all the En, there are countably many entries in

the product space which have something other than Mt in them. Say these are {t1, t2, · · ·} .Let pti be a point which is in the intersection of the ti components of the sets KJn . Thecompact sets in the ti position must have the finite intersection property also because if not,the sets KJn can’t have it. Thus there is such a point. As to the other positions, use theaxiom of choice to pick something in each of these. Thus the intersection of these KJn

contains a point which is contrary to En ↓ /0 because these sets are contained in the En.With the claim, it follows P0 is a measure on E . Here is why: If E = ∪∞

k=1Ek whereE,Ek ∈ E , then (E\∪n

k=1Ek) ↓ /0 and so

P0 (∪nk=1Ek)→ P0 (E) .

Hence if the Ek are disjoint, P0(∪n

k=1Ek)= ∑

nk=1 P0 (Ek)→ P0 (E) . Thus for disjoint Ek

having ∪kEk = E ∈ E ,

P0 (∪∞k=1Ek) =

∑k=1

P0 (Ek) .

59.2. KOLMOGOROV EXTENSION THEOREM FOR POLISH SPACES 1863Then Po is well defined because of the consistency condition on the measures v;. Po isclearly finitely additive because the v; are measures and one can pick J as large as desiredto include all t where there may be something other than M,. Also, from the definition,Po (Q) = Po (1) =v, (M,,) =1.telNext I will show Pp is a finite measure on &. After this it is only a matter of using theCaratheodory extension theorem to get the existence of the desired probability measure P.Claim: Suppose E” is in & and suppose E” | 0. Then Po (E”) | 0.Proof of the claim: If not, there exists a sequence such that although E” | @, Py (E”) |€ > 0. Let E” € &,. Thus it is a finite disjoint union of sets of Z#;,. By regularity of themeasures v,, which follows from Lemmas 59.1.8 and 59.1.9, there exists a compact setK,, CE” such thatEVIn (7), (Ky,)) + gn+2 > Vin (1), (E”))ThusEgn+2> Vy, (17, (E”)) =P (E”)€Po(Ky,) + 5nya = Von (Tay (Ky,,)) +The interesting thing about these K,, is: they have the finite intersection property. Here iswhy.€ <P) Ky) +P (E"\ 01 Ky)s Po (MYLAKy,) +P (ULE*\ Ky)< Pf (ML Ky, ) + y rae <P (ML Ky, ) +e/2,k=1and so Fo (AK 7) > €/2. In considering all the E”, there are countably many entries inthe product space which have something other than M, in them. Say these are {t),t,---}.Let p;,,; be a point which is in the intersection of the ¢; components of the sets K;,. Thecompact sets in the f; position must have the finite intersection property also because if not,the sets K;, can’t have it. Thus there is such a point. As to the other positions, use theaxiom of choice to pick something in each of these. Thus the intersection of these Ky,contains a point which is contrary to E” | @ because these sets are contained in the E”.With the claim, it follows Py is a measure on &. Here is why: If E = Uz_,E* whereE,E‘ ¢ &, then (E \ Up) Ex) | @ and soPo (Ug, Ex) — Po (E) .Hence if the Ex are disjoint, Py (Ui_ Ex) = Yi, Po (Ex) > Po(E). Thus for disjoint Exhaving U,E, =E € @,Po (Ug Ex) = ra Ex).