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Exercises for Chapter 5

Dalam dokumen Sobolev Spaces and Partial (Halaman 161-172)

In what follows, H will always denote a Hilbert space equipped with the scalar product( , )and the corresponding norm| |.

5.1 The parallelogram law.

5.4 Exercises for Chapter 5 147 SupposeEis a vector space equipped with a norm satisfying the parallelogram law, i.e.,

a+b2+ ab2=2(a2+ b2)a, bE.

Our purpose is to show that the quantity defined by (u, v)= 1

2(u+v2u2v2) u, vE, is a scalar product such that(u, u)= u2.

1. Check that

(u, v)=(v, u), (u, v)= −(u, v)and(u,2v)=2(u, v)u, vE.

2. Prove that

(u+v, w)=(u, w)+(v, w)u, v, wE.

[Hint: Use the parallelogram law successively with (i)a =u, b =v; (ii)a = u+w, b=v+w, and (iii)a=u+v+w, b=w.]

3. Prove that(λu, v)=λ(u, v)λ∈R,u, vE.

[Hint: Consider first the caseλ∈N, thenλ∈Q, and finallyλ∈R.]

4. Conclude.

5.2 Lpis not a Hilbert space forp =2.

Letbe a measure space and assume that there exists a measurable setA such that 0<|A|<||.

Prove that the pnorm does not satisfy the parallelogram law for any 1≤p

∞,p =2.

[Hint: Use functions with disjoint supports.]

5.3 Let(un)be a sequence inHand let(tn)be a sequence in(0,)such that (tnuntmum, unum)≤0 ∀m, n.

1. Assume that the sequence(tn)isnondecreasing (possibly unbounded). Prove that the sequence(un)converges.

[Hint: Show that the sequence(|un|)is nonincreasing.]

2. Assume that the sequence(tn)isnonincreasing. Prove that the following alter- native holds:

(i) either|un| → ∞, (ii) or(un)converges.

Iftnt >0, prove that(un)converges, and iftn →0, prove that both cases (i) and (ii) may occur.

5.4 LetKH be a nonempty closed convex set. LetfH and letu=PKf. Prove that

|vu|2≤ |vf|2− |uf|2vK.

Deduce that

|vu| ≤ |vf| ∀vK.

Give a geometric interpretation.

5.5

1. Let(Kn)be a nonincreasingsequence of closed convex sets in H such that

nKn = ∅.

Prove that for everyfHthe sequenceun=PKnf converges (strongly) to a limit and identify the limit.

2. Let(Kn)be anondecreasingsequence of nonempty closed convex sets inH.

Prove that for everyfH the sequenceun =PKnf converges (strongly) to a limit and identify the limit.

Letϕ:H →Rbe a continuous function that is bounded from below. Prove that the sequenceαn=infKnϕconverges and identify the limit.

5.6 The radial projection onto the unit ball.

LetEbe a vector space equipped with the norm . Set

T u=

u ifu ≤1, u/u ifu>1.

1. Prove thatT uT v ≤2uvu, vE.

2. Show that in general, the constant 2 cannot be improved.

[Hint: TakeE=R2with the normu = |u1| + |u2|.]

3. What happens if is a Hilbert norm?

5.7 Projection onto a convex cone.

LetKH be a convex cone with vertex at 0, i.e.,

0∈K and λu+μvKλ, μ >0,u, vK; assume in addition thatKis closed.

GivenfH, prove thatu=PKf ischaracterizedby the following properties:

uK, (fu, v)≤0 ∀vK and (fu, u)=0.

5.8 Letbe a measure space and leth:→ [0,+∞)be a measurable function.

Let

K= {uL2(); |u(x)| ≤h(x)a.e. on}.

Check thatKis a nonempty closed convex set inH=L2(). DeterminePK. 5.9 LetAHandBHbe two nonempty closed convex set such thatAB= ∅ andBis bounded.

5.4 Exercises for Chapter 5 149 Set

C=AB.

1. Show thatCis closed and convex.

2. Setu=PC0 and writeu=a0b0for somea0Aandb0B(this is possible sinceuC).

Prove that|a0b0| =dist(A, B)=infaA,bB|ab|.

DeterminePAb0andPBa0.

3. Supposea1Aandb1B is another pair such that|a1b1| = dist(A, B).

Prove thatu=a1b1.

Draw some pictures where the pair[a0, b0]is unique (resp. nonunique).

4. Find a simple proof of the Hahn–Banach theorem, second geometric form, in the case of a Hilbert space.

5.10 LetF :H →Rbe a convex function of classC1. LetKHbe convex and letuH. Show that the following properties are equivalent:

(i) F (u)F (v)vK, (ii) (F(u), vu)≥0 ∀vK.

Example:F (v)= |vf|2withfHgiven.

5.11 Let MH be a closed linear subspace that is not reduced to {0}. Let fH, f /M.

1. Prove that

m= inf

uM

|u|=1

(f, u) is uniquely achieved.

2. Let ϕ1, ϕ2, ϕ3H be given and let E denote the linear space spanned by {ϕ1, ϕ2, ϕ3}. Determinemin the following cases:

(i) M=E, (ii) M=E.

3. Examine the case in whichH=L2(0,1), ϕ1(t )=t, ϕ2(t )=t2, andϕ3(t )=t3. 5.12 Completion of a pre-Hilbert space.

LetE be a vector space equipped with the scalar product( , ). One doesnot assume thatEis complete for the norm|u| =(u, u)1/2(Eis said to be a pre-Hilbert space).

Recall that the dual spaceE, equipped with the dual normfE, is complete.

LetT :EEbe the map defined by

T u, vE,E =(u, v)u, vE.

Check thatT is a linear isometry. IsT surjective?

Our purpose is to show thatR(T )is dense inEand that Eis a Hilbert norm.

1. Transfer toR(T )the scalar product ofEand extend it toR(T ). The resulting scalar product is denoted by((f, g))withf, gR(T ).

Check that the corresponding norm((f, f ))1/2coincides onR(T )withfE. Prove that

f, v =((f, T v))vE,fR(T ).

2. Prove thatR(T )=E.

[Hint: GivenfE, transferf to a linear functional on R(T ) and use the Riesz–Fréchet representation theorem inR(T ).]

Deduce thatEis a Hilbert space for the norm E.

3. Conclude that the completion ofEcan be identified withE. (For the definition of the completion see, e.g., A. Friedman [3].)

5.13 LetE be a vector space equipped with the norm E. The dual norm is denoted by E. Recall that the (multivalued) duality map is defined by

F (u)= {fE; fE = uE andf, u = u2E}. 1. Assume thatF satisfies the following property:

F (u)+F (v)F (u+v)u, vE.

Prove that the norm Earises from a scalar product.

[Hint: Use Exercise 5.1.]

2. Conversely, if the norm E arises from a scalar product, what can one say aboutF?

[Hint: Use Exercise 5.12 and 1.1.]

5.14 Leta:H×H→Rbe a bilinear continuous form such that a(v, v)≥0 ∀vH.

Prove that the functionvF (v)=a(v, v)is convex, of classC1, and determine its differential.

5.15 LetGHbe a linear subspace of a Hilbert spaceH;Gis equipped with the norm ofH. LetF be a Banach space. LetS:GF be a bounded linear operator.

Prove that there exists a bounded linear operatorT :HF that extendsSand such that

T

L(H,F )=S

L(G,F ). 5.16 The tripletVHV.

LetH be a Hilbert space equipped with the scalar product( , )and the corre- sponding norm| |. LetVH be a linear subspace that is dense inV. Assume that V has its own norm and thatV is a Banach space for . Assume also that the injectionVH is continuous, i.e.,|v| ≤ CvvV. Consider the operator

5.4 Exercises for Chapter 5 151 T :HVdefined by

T u, vV,V =(u, v)uH,vV . 1. Prove thatT uVC|u| ∀uH.

2. Prove thatT is injective.

3. Prove thatR(T )is dense inVifV is reflexive.

4. GivenfV, prove thatfR(T ) iff there is a constanta ≥ 0 such that

|f, vV,V| ≤a|v| ∀vV.

5.17 LetM, NHbe two closed linear subspaces.

Assume that(u, v)=0∀uM,vN. Prove thatM+Nis closed.

5.18 LetEbe a Banach space and letH be a Hilbert space. LetTL(E, H ).

Show that the following properties are equivalent:

(i) T admits a left inverse,

(ii) there exists a constantCsuch thatuC|T u| ∀uE.

5.19 Let (un) be a sequence in H such that un u weakly. Assume that lim sup|un| ≤ |u|. Prove thatunustrongly without relying on Proposition 3.32.

5.20 Assume thatSL(H )satisfies(Su, u)≥0∀uH.

1. Prove thatN (S)=R(S).

2. Prove thatI+t Sis bijective for everyt >0.

3. Prove that

t→+∞lim (I+t S)1f =PN (S)ffH.

[Hint: Two methods are possible:

(a) Consider the casesfN (S)andfR(S).

(b) Use weak convergence.]

5.21 Iterates of linear contractions. The ergodic theorem of Kakutani–Yosida.

LetTL(H )be such that T ≤ 1. Given fH and given an integer n≥1, set

σn(f )= 1

n(f +Tf +T2f + · · · +Tn1f ) and

μn(f )= I+T

2 n

f.

Our purpose is to show that

nlim→∞σn(f )= lim

n→∞μn(f )=PN (IT )f.

1. Check thatN (IT )=R(IT ).

2. Assume thatfR(IT ). Prove that there exists a constantCsuch that|σn(f )| ≤ C/nn≥1.

3. Deduce that for everyfH, one has

nlim→∞σn(f )=PN (IT )f.

4. SetS =1

2(I+T ). Prove that

(1) |uSu|2+ |Su|2≤ |u|2uH.

Deduce that

i=0

|SiuSi+1u|2≤ |u|2uH and that

|Sn(uSu)| ≤ √|u|

n+1 ∀uHn≥1.

5. Assume that fR(IT ). Prove that there exists a constant C such that

|μn(f )| ≤C/

nn≥1.

6. Deduce that for everyfH, one has

nlim→∞μn(f )=PN (IT )f.

5.22 LetCH be a nonempty closed convex set and let T : CC be a nonlinear contraction, i.e.,

|T uT v| ≤ |uv| ∀u, vC.

1. Let(un)be a sequence inCsuch that

un uweakly and(unT un)f strongly.

Prove thatuT u=f.

[Hint: Start with the caseC=Hand use the inequality((uT u)(vT v), uv)≥0∀u, v.]

2. Deduce that ifCis bounded andT (C)C, thenT has a fixed point.

[Hint: ConsiderTεu=(1−ε)T u+εawithaCbeing fixed andε >0, ε→0.]

5.23 Zarantonello’s inequality.

LetT :HH be a (nonlinear) contraction. Assume thatα1, α2, . . . , αn ∈ R are such thatαi ≥0∀iandn

i=1αi =1. Assume thatu1, u2, . . . , unHand set σ =

n i=1

αiui.

5.4 Exercises for Chapter 5 153 Prove that

T σn

i=1

αiT ui 2≤ 1

2 n i,j=1

αiαj -

|uiuj|2− |T uiT uj|2 .

.

[Hint: Write T σ

n i=1

αiT ui

2= n i,j=1

αiαj(T σT ui, T σT uj)

and use the identity(a, b)= 12(|a|2+ |b|2− |ab|2).]

What can one deduce whenT is an isometry (i.e.,|T uT v| = |uv| ∀u, vH)?

5.24 The Banach–Saks property.

1. Assume that(un)is a sequence inH such thatun 0 weakly. Construct by induction a subsequence(unj)such thatun1 =u1and

|(unj, unk)| ≤ 1

kk≥2 and∀j =1,2, . . . , k−1.

Deduce that the sequencep)defined byσp= 1pp

j=1unj converges strongly to 0 asp→ ∞.

[Hint: Estimate|σp|2.]

2. Assume that(un)is a bounded sequence inH. Prove that there exists a subse- quence(unj)such that the sequenceσp = p1p

j=1unj converges strongly to a limit asp→ ∞.

Compare with Corollary 3.8 and Exercise 3.4.

5.25 Variations on Opial’s lemma.

LetKHbe a nonempty closed convex set. Let(un)be a sequence inHsuch that foreachvKthe sequence(|unv|)is nonincreasing.

1. Check that the sequence(dist(un, K))is nonincreasing.

2. Prove that the sequence(PKun)converges strongly to a limit, denoted by. [Hint: Use Exercise 5.4.]

3. Assume here that the sequence(un)satisfies the property (P)

Whenever a subsequence(unk)converges weakly to some limituH, thenuK.

Prove thatun weakly.

4. Assume here that

λ>0λ(KK)=H. Prove that there exists someuHsuch thatun uweakly andPKu=.

5. Assume here that IntK = ∅. Prove that there exists someuHsuch thatunu strongly.

[Hint: Consider first the case thatKis the unit ball and then the general case.]

6. Setσn = 1n(u1+u2+ · · · +un)and assume that the sequencen)satisfies property (P). Prove thatσn weakly.

5.26 Assume that(en)is an orthonormal basis ofH. 1. Check thaten0 weakly.

Let(an)be a bounded sequence inRand setun= 1nn

i=1aiei. 2. Prove that|un| →0.

3. Prove that√

n un0 weakly.

5.27 LetDHbe a subset such that the linear space spanned byDis dense inH. Let(En)n1be a sequence of closed subspaces inH that are mutually orthogonal.

Assume that

n=1

|PEnu|2= |u|2uD.

Prove thatH is the Hilbert sum of theEn’s.

5.28 Assume thatHis separable.

1. LetVH be a linear subspace that is dense inH. Prove thatV contains an orthonormal basis ofH.

2. Let(en)n1be an orthonormal sequence inH, i.e.,(ei, ej)=δij. Prove that there exists an orthonormal basis ofH that contains

n=1{en}. 5.29 A lemma of Grothendieck.

Letbe a measure space with||<∞. LetEbe a closed subspace ofLp()with 1≤p <∞. Assume thatEL(). Our purpose is to prove that dimE <∞.

1. Prove that there exists a constantCsuch that

uCupuE.

[Hint: Use Corollary 2.8.]

2. Prove that there exists a constantMsuch that

uMu2uE.

[Hint: Distinguish the cases 1≤p≤2 and 2< p <∞.]

3. Deduce thatEis a closed subspace ofL2().

In what follows we assume that dimE = ∞. Let(en)n1 be an orthonormal sequence ofE(equipped with theL2scalar product).

4. Fix any integerk≥1. Prove that there exists a null setωsuch that k

i=1

αiei(x)M k

i=1

αi2 1/2

x\ω,α=1, α2, . . . , αk)∈Rk.

5.4 Exercises for Chapter 5 155 [Hint: Start with the caseα∈Qk.]

5. Deduce thatk

i=1|ei(x)|2M2x\ω.

6. Conclude.

5.30 Let(en)n1be an orthonormalsequenceinH =L2(0,1). Letp(t )be a given function inH.

1. Prove that for everyt ∈ [0,1], one has (1)

n=1

t 0

p(s)en(s)ds 2

t

0

|p(s)|2ds.

2. Deduce that (2)

n=1

1 0

t 0

p(s)en(s)ds 2dt

1 0

|p(t )|2(1−t )dt.

3. Assume now that(en)n1is an orthonormalbasisofH. Prove that (1) and (2) become equalities.

4. Conversely, assume that equality holds in (2) and thatp(t ) = 0 a.e. Prove that (en)n1is an orthonormal basis.

Example:p≡1.

5.31 The Haar basis.

Given an integern≥1, writen=k+2p, wherep ≥0 andk≥0 are integers uniquely determined by the conditionk≤2p−1. Consider the function defined on (0,1)by

ϕn(t )=

⎧⎪

⎪⎪

⎪⎪

⎪⎩

2p/2 if k2p< t < (k+1 2)2p,

−2p/2 if (k+1

2)2p< t < (k+1)2p,

0 elsewhere.

Setϕ0≡1 and prove thatn)n0is an orthonormal basis ofL2(0,1).

5.32 The Rademacher system and the Walsh basis.

For every integeri ≥ 0 consider the functionri(t )defined on(0,1)byri(t )= (−1)[2it](as usual[x]denotes the largest integer≤x).

1. Check that(ri)i0is an orthonormal sequence inL2(0,1)(called the Rademacher system).

2. Is(ri)i0an orthonormal basis?

[Hint: Consider the functionu=r1r2.]

3. Given an integern≥ 0, consider its binary representationn=

i=0αi2i with αi ∈ {0,1}.

Set

wn(t )=

&

i=0

ri+1(t )αi.

Prove that(wn)n0is an orthonormal basis ofL2(0,1)(called the Walsh basis).

Note that(ri)i0is a subset of(wn)n0.

Chapter 6

Compact Operators. Spectral Decomposition of

Dalam dokumen Sobolev Spaces and Partial (Halaman 161-172)