20.3. KOLMOGOROV EXTENSION THEOREM 529

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 where

E,Ek ∈ E , then (E \∪nk=1Ek) ↓ /0 and so P0

(∪n

k=1Ek)→ P0 (E) .Hence if the Ek are

disjoint, P0(∪n

k=1Ek)= ∑

nk=1 P0 (Ek)→ P0 (E) . Thus for disjointEk having ∪kEk =E ∈

E , P0(∪∞

k=1Ek)= ∑

∞k=1 P0 (Ek) .

Now to conclude the proof, apply the Caratheodory extension theorem to obtain Pa probability measure which extends P0 to a σ algebra which contains σ (E ) the sigmaalgebra generated by E with P=P0 on E . Thus forEJ ∈E , P(EJ)=P0 (EJ)= νJ (PJE j) .

Next, let (∏t∈I Mt ,F ,P) be the probability space and for x ∈∏t∈I Mt let Xt (x) = xt ,the tth entry of x. It follows Xt is measurable (also continuous) because if U is open in Mt ,then X−1

t (U) has a U in the tth slot and Ms everywhere else for s ̸= t. Thus inverse imagesof open sets are measurable. Also, letting J be a finite subset of I and for J = (t1, · · · , tn) ,and Ft1 , · · · ,Ftn Borel sets in Mt1 · · ·Mtn respectively, it follows F J , where F J has Fti in thetthi entry, is in E and therefore,

P([Xt1 ∈ Ft1 ]∩ [Xt2 ∈ Ft2 ]∩·· ·∩ [Xtn ∈ Ftn ]) =

P([(Xt1 ,Xt2 , · · · ,Xtn) ∈ Ft1 ×·· ·×Ftn ]) = P(F J) = P0 (F J)

= ν t1···tn (Ft1 ×·· ·×Ftn)

Finally consider the claim about the integrals. Suppose f (xt1 , · · · ,xtn) = XF where Fis a Borel set of ∏t∈J Mt where J = (t1, · · · , tn). To begin with suppose

F = Ft1 ×·· ·×Ftn (20.4)

where each Ft j is in B(Mt j

). Then∫

Mt1×···×Mtn

XF (xt1 , · · · ,xtn)dν t1···tn = ν t1···tn (Ft1 ×·· ·×Ftn)

= P

(∏t∈I

Ft

)=∫

X∏t∈I Ft (x)dP =∫

XF (xt1 , · · · ,xtn)dP (20.5)

where Ft = Mt if t /∈ J. Let K denote sets F of the sort in 20.4. It is clearly a π system.Now let G denote those sets F in B (∏t∈J Mt) such that 20.5 holds. Thus G ⊇K . It isclear that G is closed with respect to countable disjoint unions and complements. HenceG ⊇ σ (K ) but σ (K ) = B (∏t∈J Mt) because every open set in ∏t∈J Mt is the countableunion of rectangles like 20.4 in which each Fti is open. Therefore, 20.5 holds for everyF ∈B (∏t∈J Mt) .

Passing to simple functions and then using the monotone convergence theorem yieldsthe final claim of the theorem. ■

As a special case, you can obtain a version of product measure for possibly infinitelymany factors. Suppose in the context of the above theorem that ν t is a probability measuredefined on the Borel sets of Mt ≡ Rnt for nt a positive integer, and let the measures, ν t1···tn

be defined on the Borel sets of ∏ni=1 Mti by ν t1···tn (E) ≡

product measure︷ ︸︸ ︷(ν t1 ×·· ·×ν tn)(E) . Then these

20.3. KOLMOGOROV EXTENSION THEOREM 529Let p;, be a point which is in the intersection of the t; components of the sets Ky,. Thecompact sets in the f; position must have the finite intersection property also because if not,the sets Ay, 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” | 0 because these sets are contained in the E”.With the claim, it follows Fy is a measure on &. Here is why: If E = Uz_, E* whereE,E* € &, then (E\Ut_, Ex) | @ and so Py (Uf_, Ex) + Py (E).Hence if the Ex aredisjoint, Pp (Ui_, Ex) =D Po (Ex) > Po (£). Thus for disjoint E;, having U,E, = E €&, Po (Uy Ex) = LE) Po (Ex):Now to conclude the proof, apply the Caratheodory extension theorem to obtain Pa probability measure which extends Py to a o algebra which contains o (&) the sigmaalgebra generated by & with P= Py on &. Thus for Ey € &, P( Ey) = Po (Ey) = vy (P/ Ej).Next, let ([];<;M;,-F,P) be the probability space and for x € [],<;M; let X; (a) = x,the t’” entry of x. It follows X; is measurable (also continuous) because if U is open in M,,then X;! (U) has a U in the t’” slot and M, everywhere else for s 4 t. Thus inverse imagesof open sets are measurable. Also, letting J be a finite subset of J and for J = (t1,--- ,tn),and F,,,--- ,#,, Borel sets in M,, ---M,, respectively, it follows Fy, where F’; has F;, in therh entry, is in & and therefore,P([X,, € F,]O[X1, EF] N---O[Xi, € F,,]) =P (Xn Xigy 0+ Xm) © Fy XX Fin) = PPI) = Po (Fa)= Viqentn (Fi, Xone x Fi, )Finally consider the claim about the integrals. Suppose f (x;,,--+ ,%;,) = 2 where Fis a Borel set of [],<7M; where J = (t1,--- ,f,). To begin with supposeF=F, x: xf, (20.4)where each F;, is in @ (M,,). Then| RP (Xt yt Xin) Vy ty = Veqenty (Fy X01 X Fin)Mi, x XM,=P (11) = [ ATherk (@) dP = [ Rp (Xt y00* X14, AP (20.5)tel JQ JQwhere F, = M, if t ¢ J. Let % denote sets F of the sort in 20.4. It is clearly a 7 system.Now let ¥ denote those sets F in 4 ([];<yM;) such that 20.5 holds. Thus Y > .%. It isclear that Y is closed with respect to countable disjoint unions and complements. HenceGDo(H) but o(”) = B([le;M;) because every open set in [],<;M; is the countableunion of rectangles like 20.4 in which each F;, is open. Therefore, 20.5 holds for everyFE Bes Mr).Passing to simple functions and then using the monotone convergence theorem yieldsthe final claim of the theorem.As a special case, you can obtain a version of product measure for possibly infinitelymany factors. Suppose in the context of the above theorem that v; is a probability measuredefined on the Borel sets of M; = R” for n; a positive integer, and let the measures, Vj,..-1,product measureaNbe defined on the Borel sets of []J/_; M@;, by Vy,...4, (7) = (Vr, <--> X Vr, ) (EZ). Then these