Product Measures and Fubini's Theorem

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1 Product Measures and Fubini's Theorem 1. Product Measures Recall: Borel sets U in are generated by open sets. They are also generated by rectangles VœN " á N hich are products of intervals NÞ 3 Let V be the collection of all rectangles - e have shon that U œ ÐVÑ, i.e. the Borel sets are the smallest -field containing all rectangles in. No e distinguish rectangles (products of intervals in " ) from measureable rectangles (products of arbitrary Borel sets in " Ñ Definition 1: The measureable rectangles W in are the collection of products of Borel sets: W œöf á F ÀF " 3 are Borel in We kno that Borel sets are V Ð Ñ. But e can sho they are also W Ð Ñ. Lemma 1: The Borel sets are the same as W Ð Ñ. Proof: We need to sho that W Ð Ñis contained in Borel sets U. If N3 are open intervals, then N " N# á N U, and further the collection ÖEÀE N # á N U is easily seen to be a -field (hich contains intervals), and so must be U. Thus for F" U, it follos that F " N# á N U if N3 are open intervals. A similar agument shos that for F U and N are open intervals, then # 3 F F N á N " # $ 8 U. Continuing this ay, e conclude that F " á F for Borel F3, shoing that W Ð Ñ U. This shos that W Ð Ñ œ U. Recall Lebesgue measure 7 on is defined by extending it from the rectangles V uniquely. It is no easily shon that 7 can also be extended U 99

2 from the measureable rectangles W uniquely, since for F 3 U, it is easy to sho that 7ÐF á F Ñ œ 7ÐF Ñá 7ÐF Ñ " " Note that products of measures. 3 on can be defined analogously to Lebesgue measure on products of copies of the real line. Specifically, if." is a Borel measure on.# is a Borel measure on ã. is a Borel measure on Then e can define the as follos: product measure. œ.".# á. on Recall œöðb ßáßB ÑÀ B. " 3 Let F" U œ Borel sets on F # U ã F U We can similarly define. ÐF " á F Ñ œ." ÐF" Ñá. ÐFÑÞ and then extend to all Borels U Þ Thus: Theorem 2: b unique measure. on defined by.... ÐF F á F Ñœ ÐF Ñ ÐF Ñá ÐF Ñ " # " " # # 100

3 Of course, this definition generalizes to any product of measure spaces Ð\ß k ß. Ñ Ð] ß l ß / Ñ H œ k l œ ÖÐBßCÑ À B \ß C ]Ñ Thus: on F l. He define a -field Y œ k l œ ÖE F À E kß Measure 1 œ. / as before is defined by 7ÐE FÑ œ. ÐEÑ / ÐFÑÞ Theorem 18.1 [Billingsley]: (a) If I k l, then for each B, ÖC À ÐBß CÑ I l, and similarly for eacy C, ÖB À ÐBß CÑ I kþ (b) If 0ÐBßCÑ measureable rt k l, then for each fixed B 0ÐBß Ñ is measureable ith respect to l, and for each fixed C0Ð ßCÑis measurable ith respect to k. Proof: Given fixed B the map XBÐCÑ œ ÐBß CÑ maps ] to \ ]. Easy to " sho that X ÐIÑis measureable if I œ E F is a measureable rectangle. Thus by Theorem 13.1 X is measurable since rectangles I generate all measureable sets. Thus for any I e have XB " ÐIÑ œ ÖC À ÐBßCÑ I is measureable. The final claim follos easily. [simple proof in Billingsley] No consider a set I k l. Define IB œxb " ÐIÑ. Define the function 7ÐBÑ œ / ÐIB Ñ œ / ÖC À ÐBßCÑ I. It is easy to sho that 7ÐBÑ is measureable (see Billingsley). Define 1 ÐIÑ œ ( / ÐIBÑ.. ÐBÑ \ here 1 ÐIÑ œ (. ÐICÑ. / ÐCÑ ] 101

4 IC œ ÖB À ÐBßCÑ I. Easy to sho that 1 and 1 are measures. Also easy to sho that if IœE F is a measureable rectangle then 1 ÐIÑ œ. ÐEÑ/ ÐFÑ œ 1 ÐIÑ œ 1 ÐIÑÞ Using unique extension (see Billingsley; this must be done first for finite and then -finite measure spaces), e obtain: Theorem 18.2 [B]: The measure 1 œð. / Ñ 1 ÐE FÑ œ. ÐEÑ/ ÐFÑ defined by is -finite and conicides ith 1 and 1 above. It is its on unique extension hen restricted to measureable rectangles IœE F. Example 1: Lebesgue measure on is. =.".# here. 3 are Lebesgue measure. # 2. The Fubini theorem (analysis; section 18) Fubini Theorem (section 18): If 0ÐBßCÑ is measurable ith respect to.., and ' l0l.ð.. Ñ _, then " # " # ( Œ( 0ÐBß CÑ.. ÐBÑ.. ÐCÑ œ ( 0ÐBß CÑ.Ð.. Ñ " # " # œ ( Œ( 0ÐBß CÑ..# ÐCÑ.." ÐBÑÞ This is effectively a fundamental theorem of calculus (an evaluation theorem) for multiple integrals. Proof: In the case here 0ÐBßCÑ œ MIÐBßCÑ here I k l, this is easy to sho (follos directly from Theorem 18.2 above). On the other 102

5 hand, this then extends to simple functions and then by taking limits directly to positive functions, and then all functions. 103

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