2026 CHAPTER 61. PROBABILITY IN INFINITE DIMENSIONS

Thus also ∫U

eit(x−m,h)dµ (x) = e−12 t2(Qh,h)

and letting t = 1 this yields ∫U

ei(x−m,h)dµ (x) = e−12 (Qh,h)

From this it follows ∫U

(1− ei(x−m,h)

)dµ = 1− e−

12 (Qh,h)

and since the right side is real, this implies∫U(1− cos(x−m,h))dµ (x) = 1− e−

12 (Qh,h)

Thus1− e−

12 (Qh,h) ≤

∫[||x−m||≤c]

(1− cos(x−m,h))dµ (x)

+2∫[||x−m||>c]

dµ (x)

Now it is routine to show

1− cos t ≤ 12

t2

and so

1− e−12 (Qh,h) ≤ 1

2

∫[||x−m||≤c]

|(x−m,h)|2 dµ (x)

+2µ ([||x−m||> c])

Pick c large enough that the last term is smaller than 1/8. This can be done because thesets decrease to /0 as c→ ∞ and µ is given to be a finite measure. Then with this choice ofc,

78− 1

2

∫[||x−m||≤c]

|(x−m,h)|2 dµ (x)≤ e−12 (Qh,h) (61.8.38)

For each h the integral in the above is finite. In fact∫[||x−m||≤c]

|(x−m,h)|2 dµ (x)≤ c2 ||h||2

Let(Qch,h1)≡

∫[||x−m||≤c]

(x−m,h)(x−m,h1)dµ (x)

and let A denote those h ∈U such that

(Qch,h)< 1.

2026 CHAPTER 61. PROBABILITY IN INFINITE DIMENSIONSThus also| elf—mh) ayy (x) _ eo at (Qh.h)Uand letting t = | this yields| lm) ai (x) _ e723 (Oh,h)UFrom this it follows| (1 = elmt) du —]-— eo 3 (Qh,h)Uand since the right side is real, this implies[ (1—cos(x—m,h)) dp (x) =1 — e~ 3 (Oh)JUThus1 — en} (Ohh) < i, (108 (x—m,h)) de (x)J {||[x-—m||<c42 | du (x)[I]e—m|><11—cost < =fcost <5Now it is routine to showand so1[ae HOM <x mh)Pdue (x)2 J[\|x—m||<c]+2y ([||x—ml| > c])Pick c large enough that the last term is smaller than 1/8. This can be done because thesets decrease to @ as c + o and y is given to be a finite measure. Then with this choice ofCc,= I(x —m,h)|? dps (x) < e 2(2h) (61.8.38)8 2S {\\x—m||<c}For each h the integral in the above is finite. In factJems m dy (x) <o ihlP?[|x—m]|<c]Let(elim) =f (@—msh) (xm) dt (3)[|}x—m]||<c]and let A denote those h € U such that(O-h,h) <1.