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Appendix F

L strong p , L weak p and Integration

Order and simplification are the first steps toward mastery of a subject

— the actual enemy is the unknown.

— Thomas Mann (1875–1955)

For a function f : Q BB2 , Bochner-measurability corresponds to the uniform (i.e., Banach space) topology of BB2 . However, for several applications it suffices that, e.g., f x : Q B2 is measurable for each x B (i.e., that f is strongly measurable). We study this and the corresponding weak concept;

in particular, we define and study Lstrongp and Lweakp spaces (in Section F.1; we note that Lstrong is usually a Banach space (Theorem F.1.9) but Lstrongp is often incomplete for p ∞(Example F.1.10)).

In Section F.2, we define and study integration and convolution for strongly or weakly measurable functions. In Section F.3, we treat Hstrongp and Hweakp spaces and the Laplace transform of strongly or weakly measurable functions.

In this chapter, B, B2 and B3 denote Banach spaces over the scalar field K, where K R or K C (we have K C in Section F.3), U , H, and Y denote Hilbert spaces, and µ is a complete positive measure on a set Q.

997

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F.1 L

strongp

and L

weakp

If you think you have the solution, the question was poorly phrased.

In this section, we study strong and weak (operator) measurability and corresponding Lpspaces. We start with the definitions of measurability:

Definition F.1.1 (Strong and weak measurability, LLL LLLstrongstrongstrong LLLweakweakweak) By

LQ; we denote the (equivalence classes of) Bochner measurable functions

Q .

Let F : Q BB2 . Then F is strongly measurable (F LstrongQ; B B2 ) if Fx LQ; B2 for all x B, and F is weakly measurable (F LweakQ; B B2 ) ifΛF x L Q for all x B Λ B2 .

Elements F G L (resp Lstrong, Lweak) are identified (FG, or F G, where F is the equivalence class of F) if F G a.e. (resp. Fx Gx a.e. for all x B,ΛF x ΛGx a.e. for all x B Λ B2 ).

If F : Q BB2 and G : Q B2 B are strongly (resp. weakly) measurable andFx ΛB2

B2

xB

B

a.e. for all x B Λ B2 , then G is the adjoint of F] in Lstrong(resp. Lweak) and we write FG.

If F L Q;BB2 and G L Q; B2B3 , then we define GF :

GF Lstrong Q; B B3 .

The above definition can be generalized to situations where F is B3-valued and there is a continuous bilinear mapping B B3 B2, but these situations can be reduced to the above by considering B3as a subspace of BB2 . The definition of G F will be justified in the proof of Lemma F.1.3(b).

We write FL, FLstrong or FLweak when there may be confusion about the sense in which an equivalence class is defined. We use the standard convention to write F in place of F when there is no risk of confusion.

The Bochner measurability of an operator-valued function is often called uniform measurability (in the literature, also the term “strong measurability” is used, but we shall use that term for Lstrongonly).

We shall interpret the definition of Lstrong and Lweak for vector-valued func- tions as follows: if f : Q B, then we consider f as a function Q! K; B , so that strong (operator) measurability reduces to Bochner measurability and weak (operator) measurability reduces to “weak vector measurability”, i.e., to the con- dition thatΛf L for allΛ B (for operator-valued functions, by weak measur- ability we refer to weak operator measurability, as defined in Definition F.1.1).

Lemma F.1.2

(a) LQ; B B2" LstrongQ; B B2" Lweak Q;BB2 .

(b1) If F# Lstrong Q;BB2 has an adjoint in Lstrong, then this adjoint is unique.

(b2) If FF$ Lstrong, then F%Lstrong &FL

strong. If F F$ Lweak, then

FLweak 'FL

weak.

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(c) Let B be reflexive. If F Lweak Q;BB2 , then F( LweakQ;B2 B and F)'F* .

In contrast to (a) and (b), in Example 3.1.4 we construct F Lstrong+ L s.t.

F, Lweak+ Lstrong and ess sup- F Λ- B ∞ for certain Λ B2 , even though F .0Lstrong and hence FL strong /0L strong /0Lstrong. Thus, e.g., F0 Lstrong

may have an adjoint in Lstrongeven if F21 Lstrong.

Proof: (a) This follows from (B.18) (Naturally, the inclusions should be injective. By Lemma B.2.6, this is the case (but the equivalence classes may be enlarged with “less measurable” elements and there may appear new equivalence classes as we move from L to Lstrongor from Lstrongto Lweak).)

(b2)&(c) These follow directly from the definition.

(b1) For F3 LstrongQ; B B2 we have, by Lemma B.2.6, that F4

065 ΛFx 0 a.e. for all x B Λ B2.

If F*7 G and F*8 H, then x G9 H Λ: 0 a.e. for all Λ B2 x B. Therefore, hence G9 H Λ 0 a.e. for all Λ B2 , by Lemma B.2.6 (because ; x B<

< - x- B = 1> "

B is norming), i.e., G?H.

@

Now we go on with further properties of strongly and weakly measurable functions:

Lemma F.1.3 Let F0 Lstrong Q;B B2 , GA LstrongQ;B2 B3 , fA LQ; B , hB LQ , H : Q B B2 and 1 = p = ∞. Then we have the following:

(a) F f LQB2 and hF LstrongQ; B B2 . (b) We have GF# Lstrong

Q; B B3 . In particular, Lstrong

Q B is an algebra.

(c) If Hn Lstrongfor all n N and Hn H aCeC, then H Lstrong. (d) If dim B ∞, then Lstrong

Q;B B2 L Q;BB2 (and FLstrong

FL); if B2 is separable, then Lweak Q;B B2

Lstrong Q; B B2

(and FLstrong FLweak).

(e) If also R is a measure space, then qrED Fq

LstrongQ R and

q rFD Fr9 q LstrongQ R .

(f1) Assume that B is separable. Then - F- is measurable and -GF- Lstrong ess sup- F-%HJIB

B2K =, in particular, F?065 F 0 a.e.

Moreover, F4ML Lstrong iff F q ML

for a.e. q Q and FN 14 Lstrong. If, B is also reflexive, then FO Lstrongand F?F* .

(f2) Assume that Q is separable and µAP 0 for open" Q.

ThenQ Q;BB2" LQ; B B2" Lstrong

Q; B B2 . Moreover,

Q b

Q;BB2R" L Q;BB2R" LstrongQ; B B2 , with equal

norms.

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Assume, in addition, that F SQ Q;BB2 . Then F%TUF and

-GFV- Lstrong supQ- F- HJIB

B2K = ∞; in particular, F)'0W5 F X 0.

If F q YL

B B2 for a.e. q Q, then F N 1 ZFN 1FYL Lstrong. Con- versely, if F[SL Lstrong and G#\F N 1 and - G- HJIB2

BK = M a.e., then F q

]L

BB2 for all q Q.

(g) Assume that B3 B. Then any separable sets X0 " B and Y0 " B2 are contained, respectively, in closed separable subspaces X " B and Y " B2, s.t. there is a null set N " Q satisfying Fq x Y and Gq y X for all x X , y Y and q Q+ N. (Cf. Lemma 3.2.6.)

(w) Replace Lstrong by Lweak everywhere above in this lemma. Then parts (c) and (e) above hold, we have hF LweakQ; B B2 , and g L Q; B2

implies that gF f LQ . Parts (f1) and (f2) (provided that both B and B2 are assumed to be separable in (f1)) also hold except possibly the claims concerning L Lstrongand L Lstrong.

Moreover, if f L, then F f Lweak; if F Lstrong, then GF Lweak; Note that any measurable subset of Rn with the Lebesgue measure (or any countable set with the counting measure) satisfies the assumptions of (f2), by Lemma B.2.3(e).

Proof: (a) The claim on hF is a special case of (b). Now gj :

kj^ 1FxkχEk L Q; B2 for all j N, ; xk> " B and disjoint, measurable Ek (k N). Therefore, F f limj_,` gj L, when f k^ 1xkχEk. If f L is arbitrary, fn f a.e., and fnis countably-valued (n N), then La F fn F f a.e., as n!b ∞, hence then F f L, by Lemma B.2.5(c).

(b) 1c Now Fx L, hence GFx L, by (a), for any x B. Thus, GF3 Lstrong.

2c We shall now show that G F :\GF is well defined, as promised below Definition F.1.1: Let Fde(F, GdeRG and x B. By Lemma B.2.5(b1), there is a separable subset B0 " B s.t. Fq x B0for a.e. q Q. Choose a null set N " Q s.t. Fy Fdy on Ncfor all y in a dense, countable subset of B0, hence for all y B0. Then FGx FdGdx a.e. on Nc, hence a.e., hence FG?fFdGdg, hence multiplication is well-defined.

3c Apply 1c to B2 B B3to see that Lstrong Q;B is an algebra.

(c) Now Hx limnHnx a.e. hence Hx Lstrong, for any x B (thus, it were sufficient if Hn H strongly).

(d) We assume that dim B and prove that F LQ; B B2 . Take a base e1CCCh en " B, and set fj: Fej LQ; B2 for all j. Then Fnj^ 1αjej

nj^ 1αjfj, hence F j fjPj L, where Pj B is the mapping∑nj^ 1αjej D

αj. Obviously, Fx 0 a.e. for all x B iff F 0 a.e., hence 0Lstrong '0L. If, instead B2 is separable, then any F Lweak

Q;B B2 is strongly measurable, by Lemma B.2.5(b1) (and ΛFx 0 a.e. for allΛ B2 iff Fx 0 a.e., hence 0Lstrong 0Lweak).

(e) Now FVi x LQ B2j" LQ RB2 for all x B, hence qD Fq is in LstrongQ R . The second claim follows analogously, by using Lemma B.2.9.

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(f1) 1c Let ; bk> kk N be dense in the unit ball of B. Then - F- HJIB

B2K

supk- Fbk- B2is measurable and - F- Lstrong supk- Fbk- L = ess sup- F- . But if

- F- P M on E with µE3P 0, thenl kEk E, where Ek:; q E<

< - Fq bk- P M> , hence then µEkmP 0 for some k, thus - Fbk- P M. Consequently, supk- Fbk- L = ess sup- F- .

2c Claim F N 1 nFN 1: If FN 1 exists a.e. and FN 1o Lstrong, then, obviously, FN 1 F) I and F FN 1) I in Lstrong.

For the converse, assume that B3 B and G4pF N 1. Set X0: B and apply (g) to obtain a null set N " Q and a closed separable subspace Y " B2s.t.

Fq B " Y for all q Q+ N.

Now IB9 GF 0 a.e. on Nc and IB2 9 FGrq

Y 0 a.e. on Nc Therefore, Gq

Y FN 1a.e. on Nc, say, on N1c, where N1is a null set. But for any y B2we have F Gy y a.e. on N1c, hence B2 Y , i.e., G FN 1on N1c, hence a.e.

3c Assume now that B is also reflexive. LetΛ B2 . Thenx F Λ)M F xΛ is measurable for all x B Bh , and F Λ: Q B is separably-valued (B is separable, by Lemma A.3.4(R2)), hence F Λ is measurable, by Lemma B.2.5(b1). Obviously, F%?F* .

(f2) (In fact, piecewise continuity suffices (or that Qsl nk NQn, where, for each n, Qn " Q is a Borel set, F Q Qn;UY , and µP 0 for all open

" Qn).) Note that we implicitly assumed that Q is a topological space and

that all Borel-sets are measurable.

1c By Lemma B.2.5(e),Q " L. (Note that we have identified F and FLfor F tQ ; by 3c , this inclusion is injective.) Combine this with Lemma F.1.2(a) to obtain Q " L " Lstrong.

2c We have - F- Lstrong supQ- F- : If F tQ and - Fq x- P M :'- F- Lstrong for some x B s.t. - x- = 1, then Ω:'; q Q<

< - Fq x- P M> has a positive measure, hence - Fx- P M, a contradiction, hence supQ- F- HJIB

B2K = M,

hence supQ- F- HJIB

B2K M.

3c Q b " L" Lstrongwith equal norms: this follows from 1c and 2c .

4c Now also F is continuous, hence F L " Lstrong, by 1c . From the definition of F we observe that F ?'F .

5c If Fq uL

B B2 for q Nc, where N is a null set, then FN 1

Q

Nc;B2 BA" Lstrong

Nc;B2 B Lstrong

Q; B2B .

6c Assume that F0SL Lstrong, G3/F N 1 and - G- HJIB2

BK = M on Nc0, where N0is a null set.

Let x0 B and y0 B2 be arbitrary. Set X0 :\; x0> , Y0 :v; y0> , and apply (g) to obtain closed separable subspaces XY and a set N s.t. Fq X " Y and GqY " X for all q Nc, x0 X " B and y0 Y " B2. By continuity,

Fq X " Y for all q Q.

Since GFx x and FGy y a.e. for all x B and y B2, hence for all x X and y Y , we haveF N 1wG also in LstrongQ;Y X . Thus, we can apply (f1) to obtain that Fqxq

X yL

XY for a.e. q Q, say for q Nxc0

y0, where Nx0

y0 is a null set.

We now show that Fq q

X ZL

B B2 for all q Q: To obtain a contradiction, assume that Fq0 qX 1RL

B B2 for some q0 Q. Then there is

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an open V "

XY s.t. Fq0 V and T V & T zL XY[{

- TN 1- P

M, by Lemma A.3.3(A4). It follows that Vd :f; q Q<

<

Fq q

X V> is open and Vd " N0l Nx0

y0, hence µVd 0, hence Vd6 /0, a contradiction.

In particular, F q x0 1 0 and y0 RanF q , for all q Q. Because x and y were arbitrary, we have Ker Fq

|; 0> and RanF q

B2, hence Fq

]L

B B2 for any q Q.

(g) Let DX " X0 and DY " Y0 be dense and countable. For any n N, we have FGF

n

GF

nG GF

n

FG

n

Lstrong, by (b).

For each x DX, there is a null set N0x" Q s.t. Y0x: FQ+ N0xx is separable.

Set Y1: spanY0l}l xk DXY0x , N0d :sl xk DXN0x. It follows that FQ+ N0d x " Y1 for all x X0, by continuity. Moreover, Y1 " Y is separable, by Lemma B.2.3(a)&(c), and N0d is a null set.

For each k 1b N, given Nkd and Yk, choose, analogously, a null set Nk` 1

and a separable subspace Xk` 1 " B s.t. Xk " Xk` 1 and GQ+ Nk` 1Yk " Xk` 1. On the other hand, for each k 1b N, given Nk and Xk, choose a null set Nkd and a separable subspace Yk " B2s.t. Yk

N

1 " Ykand FQ+ NkdXk " Yk.

Set N :sl kNkl Nkd, X : span l kXk , Y : span l kYk . If q Q+ N, then Fq x Y for all x ~l kXk, hence for all x X , by linearity and continuity;

analogously, Gq y X for all y Y .

(w) 1c F fGFhFgF f Lweak: Let f L. A slight modification of the proof of (a) shows that F f Lweak. Let now G Lweak and F Lstrong. Then Fx L for each x B, hence GFx Lweak, by the above; consequently, GF Lweak. The claims on hF and gF f follow.

2c The other claims: The above proofs of parts (c), (e) and (f) need only be slightly changed (in (f) we use a countable norming subset of B2 and a dense

subset of B). @

Definition F.1.4 (LLLstrongstrongstrongppp Q;Q;Q;BBBBBB222 ) Let 1= p=.

By Lstrongp Q; B B2 we denote the space of Fo LstrongQ; B B2

having a finite norm

- F- Lp

strong : sup



x



B€ 1

- Fx- LpIQ

B2K C (F.1)

By Lweakp Q; B B2 ) we denote the space of Fj LweakQ; B B2

having a finite norm

-GFV- Lp

weak : sup



x



B

ΛB2€ 1

- ΛFx- LpIQ

K C (F.2)

It follows that Lstrongp Q;BB2 Lp Q;BB2

LpQ; B2 n

when n : dim B ∞ (cf. Lemma A.1.1(a4)). Note also that - F- Lp

weak =

- F- Lp

strong =

- F- Lp for F Lpand that - F- Lp

strong (resp. - F- Lp

weak) is the norm of the operator B a xD Fx Lp(resp. the “bilinear norm” of B B2 a x ΛAD ΛFx LpQ ; cf. Lemma A.3.4(J1)).

One could insist that LstrongQ; B B2 should consist of all linear F : BD

LstrongQ; B2 (and analogously for Lweak, Lstrongp , Lweakp ), not just for those that

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take the form of a function (a.e.). See Theorem F.2.1(g) etc. for details. However, that broader definition would cause problems in several applications.

The spaces Lstrongp and Lweakp are normed spaces:

Lemma F.1.5 Let 1 = p= ∞. Then

(a1) Lstrongp Q;BB2 is a subspace of BLp Q; B2 with same norm.

(a2) Lweakp Q;BB2 is a subspace of B B2 LpQ with same norm.

(b) If Q " Rn and µ m, and B is a Hilbert space or B2 K, then LstrongQ; B B2

BLQ; B2 .

(c1) We have LpQ; B B2‚" Lstrongp Q;BB2ƒ" Lweakp Q; B B2 , continuously.

(c2) If F Lstrong Q;B B2 , then - F- Lstrong - F- Lweak; if F L Q;BB2 , then - F- L |- F- L

weak.

(d) If F Lstrongp Q; B B2 and T B2 B3 , then T F Lstrongp Q; B B3 and - T F- Lp

strong =

- T- H - F- Lp

strong. Also the analo- gous “weak” claim holds.

(e) If F Lweakp Q; B B2 and B is reflexive, then FE Lweakp Q; B2 B

and - F„- Lp

weak

…- F- Lp

weak.

(f) (dim Bdim Bdim B ∞∞∞) If dim B ∞, then Lp Q; B B2

Lpstrong Q; B B2

(with equivalent norms). If dim B2 , then Lstrongp Q; B B2

Lweakp Q;BB2 (with equivalent norms).

(g1) Assume that p or µ isσ-finite. Then Hg L for all g Lp Q; B iff H Lstrong.

(g2) Assume that por µ is non-atomic. Then Hi Lp iff H Lstrong.

“Usually” Lstrongp and Lweakp are Banach spaces only for p ∞; see Theorem F.1.9 and Example F.1.10 for details.

Proof: (a1)&(a2) These are obvious.

(b) Let F B LQ; B2 . W.l.o.g. we assume that Q Rn (replace F by FχQ). Set M :'- F- H . For any q Rn, the set Xq:S; x B<

<

q Leb LFx >

is a subspace of B, and - LFx- = - Fx- = M- x- B on Q (x B), by Lemma B.5.3.

For each q Q, the map x D LFxq is obviously linear on Xq, hence it has a norm-preserving extension G q

BB2 , by Lemma A.3.11, so that

- Gq - HJIB

B2K = M.

Let x B. Then for a.e. q Q we have x Xqand hence LFq x G q x;

but LFx Fx a.e., hence Fx Gx a.e. Consequently, G : Q B B2 is strongly measurable and - F 9 G- HJIB

LIQ;B2K†K 0.

Thus, we have constructed G LstrongQ; B B2 s.t. G F as an element of B LQ; B2 . Finally, G satisfies the additional condition

- Gq - HJIB

B2K = - G- Lstrong for every q Q.

(c1)&(d) These are obvious (and the norms of the embeddings in (c1) are at most one).

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