Metric and Hilbert Spaces

Arun Ram
Department of Mathematics and Statistics
University of Melbourne
Parkville, VIC 3010 Australia
aram@unimelb.edu.au

Last updated: 4 November 2014

Assignment 2 Solutions

  1. Let A = { (x,y)∈ℝ2  | x2+y2<1 } and B = { (x,y)∈ℝ2  | (x-2)2 +y2<1 } . Determine, with proof, whether X=A∪B, Y=A‾∪B‾ and Z=A‾∪B are connected subsets of ℝ2 with the usual topology.

    Solution.
    The picture is A p B (rcosθ,rsinθ) with A‾ = {(x,y) | x2+y2≤1}and B‾ = {(x,y) | (x-2)2+y2≤1}. The sets A,B,A‾ and B‾ are all path connected since A‾= { (rcos θ,rsin θ)  | r∈[0,1]  and θ∈[0,2π) } and p:[0,1]→A‾ given by p(t)=(rtcos θ,rtsin θ) is a path from (0,0) to (rcos θ,rsin θ).
    B‾ is a translate of A‾ by 2 so it is also path connected.
    Namely, B‾=(2,0) +A‾= { (rcos θ+2,rsin θ)  | r∈[0,1],θ ∈[0,2π) } and p′:[0,1]→B‾ given by p(t)=(rtcos θ+2,rtsin θ) is a path from (2,0) to (rcos θ+2,rsin θ).
    (a) Let X=A∪B. Then X=A∪B, A∩B=∅, A≠∅and B≠∅ and so X is not connected.
    (b) Let Y=A‾∪B‾. Then A‾ is path connected and B‾ is path connected and (1,0)∈A‾∩B‾. It follows that Y=A‾∪B‾ is path connected and connected.
    (c) Let Z=A‾∪B=A‾∪((1,0)∪B).
    Then every point of A‾ is path connected to (1,0).
    Every point of (1,0)∪B is path connected to (1,0).
    So Z is path connected and connected (since path connected implies connected, see the Rubinstein notes, the sentence between Definition 8.13 and Example 8.14).

    □

  2. Let X and Y be topological spaces and assume that Y is Hausdorff. Let f:X→Y and g:X→Y be continuous functions.
    1. Show that the set {x∈X | f(x)=g(x)} is a closed subset of X.
    2. Show that if f:X→ℝ and g:X→ℝ are continuous then f-gis continuous.
    3. Show that if f:X→ℝ and g:X→ℝ are continuous then {x∈X | f(x)<g(x)} is open.

    Solution.
    (a)
    To show: {x∈X | f(x)=g(x)}c is open.
    To show: {x∈X | f(x)≠g(x)} is open.
    Let A={x∈X | f(x)≠g(x)}.
    Let x∈A.
    To show: x is an interior point of A.
    Since Y is Hausdorff and f(x)≠g(x) there exist open sets U and V of Y with f(x)∈U, g(x)∈Vand U∩V≠∅. X x U V Y f(x) g(x) ⟶f ⟶g To show: There exists an open set B of X such that x∈B and B⊆A.
    Let N=f-1(U) and P=g-1(V) and let B=N∩P.
    To show:
    (aa) B is open.
    (ab) x∈B.
    (ac) B⊆A.
    (aa) Since f is continuous, N=f-1(U) is open.
    Since g is continuous, P=g-1(V) is open.
    So B=N∩P is open.
    (ab) Since f(x)∈U, then x∈f-1(U)=N.
    Since g(x)∈V, then x∈g-1(V)=P.
    So x∈N∩P=B.
    (ac) To show: B⊆A.
    To show: If x′∈B then x′∈A.
    Assume x′∈B.
    To show: f(x′)=g(x′).
    Since x′∈B, then f(x′)⊆f(N)⊆U and g(x′)⊆g(P)⊆V.
    Since U∩V=∅ then f(x′)≠g(x′).
    So x′∈A.
    So B⊆A.
    So x is an interior point of A.
    So A is open and {x∈X | f(x)=g(x)} is closed.
    (b)
    Assume f:X→ℝ and g:X→ℝ are continuous.
    To show: f-g is continuous.
    The function f-g is the composition of X ⟶f×g ℝ×ℝ x ⟼ (f(x),g(x)) and ℝ×ℝ ⟶ ℝ (x,y) ⟼ x-y and the composition of continuous functions is continuous.
    To show:
    (ba)   f×g: X ⟶ ℝ×ℝ x ⟼ (f(x),g(x)) is continuous.
    (bb)   ℝ×ℝ ⟶ ℝ (x,y) ⟼ x-y is continuous.
    (ba) This is part 1 of theorem 3.6 in the Rubinstein notes. No proof is given there, so it might be desirable to provide a proof.
    (bb) To show: If (x1,y1),(x2,y2),… is a sequence in ℝ2 and limn→∞(xn,yn)=(x,y) then limn→∞ (xn-yn)=x-y. To show: limn→∞(xn-yn)=(limn→∞xn)-(limn→∞yn).
    This is a fact usually proved in 2nd year Real analysis. Again, it might be desirable to provide a proof.
    (c) Let B={x∈X | f(x)<g(x)}.
    Then B={x∈X | (f-g)(x)<0}=(f-g)-1(ℝ<0).
    Since ℝ<0 is open in ℝ and, by (b), f-g is continuous, B=(f-g)-1(ℝ<0) is open.

    □

  3. Let X be a complete normed vector space over ℝ. A sphere in X is a set S(a,r)= { x∈X |  d(x,a)= ‖x-a‖=r } ,for a∈X  and r∈ℝ>0.
    1. Show that each sphere in X is nowhere dense.
    2. Show that there is no sequence of spheres {Sn} in X whose union is X.
    3. Give a geometric interpretation of the result in (b) when X=ℝ2 with the Euclidean norm.
    4. Show that the result of (b) does not hold in every complete metric space X.

    Solution.
    (a)
    Let a∈X and r∈ℝ>0.
    To show: (S(a,r)‾)∘=∅.
    To show:
    (aa) S(a,r)‾=S(a,r).
    (ab) S(a,r)∘=∅.
    (aa) To show: S(a,r) is closed. S(a,r)= f-1({r}), where f: X ⟶ ℝ x ⟼ d(x,a) Since f is continuous (see Theorem 3.6 of the Rubinstein notes) and {r} is closed, then S(a,r)=f-1({r}) is closed.
    (ab) To show: S(a,r)∘=∅.
    To show: If x∈S(a,r) then x is not an interior point of S(a,r).
    Assume x∈S(a,r).
    To show: If ε∈ℝ>0 then B(x,ε)⊈S(a,r).
    Assume ε∈ℝ>0.
    For t∈ℝ>0 let c(t)=a+t(x-a) a r c(t) x=c(1) S(a,r) ⏟ Since d(c(t),x) = ‖a+t(x-a)-x‖ = ‖(t-1)(x-a)‖ = ∣t-1∣ ‖x-a‖ = ∣t-1∣·r, then c(t)∈B(x,ε) for r·∣t-1∣<ε.
    So c(t)∈B(x,ε) for 1-εr<t<1+ε2.
    Since d(c(t),a)= ‖a+t(x-a)-a‖= t‖x-a‖=t·r, then c(t)∈S(a,r) only if t=1.
    So B(x,ε)⊈S(a,r).
    So x is not an interior point of S(a,r).
    So S(a,r)∘=∅.
    So (S(a,r)‾)∘=S(a,r)∘=∅ and S(a,r) is nowhere dense in X.
    (b) To show: If a1,a2,…∈X and r1,r2,…∈ℝ>0 then X≠⋃n∈ℤ>0S(an,rn).
    Assume a1,a2,…∈X and r1,r2,…∈ℝ>0.
    By part (a), each S(an,rn) is nowhere dense in X.
    By the Baire theorem, X is not a countable union of nowhere dense sets. So, X≠⋃n∈ℤ>0S(an,rn).
    (c) If X=ℝ2 then S(a,r) is a circle with centre a and radius r.
    So (b) says that the plane ℝ2 cannot be completely covered by a sequence of circles.
    (d) To show: There exists a complete metric space X and spheres S(a1,r1),S(a2,r2),… in X with X=⋃n∈ℤ>0S(an,rn).
    Let X=ℤ (so X is an infinite set with the discrete topology).
    Then ℤ is a complete metric space (since it is a closed subset of the complete metric space ℝ).
    Let 0=a1=a2=⋯ and rn=n for n∈ℤ>0.
    Then S(an,rn)= S(0,n)= {-n,n} in ℤ.
    So ℤ=⋃n∈ℤ>0 {-n,n}= ⋃n∈ℤ>0 S(0,n).

    □

  4. Prove that if X and Y are path connected, then X×Y is also path connected.

    Solution.
    Assume X and Y are path connected.
    To show: X×Y is path connected.
    To show: If (x1,y1),(x2,y2)∈X×Y then there exists a path p:[0,1]→X×Y connecting (x1,y1) and (x2,y2).
    Assume (x1,y1)∈X×Y and (x2,y2)∈X×Y.
    Since X and Y are path connected we know that there exist continuous functions p1:[0,1]→X and p2:[0,1]→Y with p1(0) = x1, p1(1) = x2, and p2(0) = y1, p2(1) = y2. To show: There exists a continuous function p:[0,1]→X×Y with p(0)=(x1,y1) and p(1)=(x2,y2).
    Let p:[0,1]→X×Y be given by p(t)=(p1(t),p2(t)).
    Then p(0) = (p1(0),p2(0))= (x1,y1), p(1) = (p1(1),p2(1))= (x2,y2), and p is continuous by Theorem 3.6 in the Rubinstein notes.
    More specifically Theorem 3.6 part (a) states: Let f be a function from X to Y1 and let g be a function from X to Y2. Define the function h from X to the product Y1×Y2 by h(x)=(f(x),g(x)), for x∈X.
    Then h is continuous if and only if both functions f and g are continuous.
    This statement is not proved in the Rubinstein notes so it might be desirable to provide a proof.

    □

  5. Let p∈ℝ>1 and define q∈ℝ>1 by 1p+1q=1.
    1. Define the normed vector space ℓp.
    2. Show that ℓp is a Banach space.
    3. Prove that the dual of ℓp is ℓq.

    Solution.
    (a)   ℓp= { (x1,x2,…)  | xi∈ℝ  and ‖(x1,x2,…)‖p <∞ } where ‖(x1,x2,…)‖= (∑i∈ℤ>0∣xi∣p)1p.
    (b) If V and W are normed vector spaces let B(V,W)= { T:V→W | T  is a linear operator and ‖T‖  is bounded } where ‖T‖=sup { ‖Tx‖‖x‖  | x∈V } . Recall the following from the Rubinstein notes:
    Theorem 11.8 If W is a Banach space then B(V,W) is a Banach space.

    Theorem 4.6 The space ℝ with the usual metric is complete.
    Together these imply that B(V,ℝ) is complete.
    In part (c) we will show that ℓp=B(ℓ2,ℝ). Thus ℓp is a Banach space.
    (c)
    To show: ℓq is the dual of ℓp.
    To show: ℓq=B(ℓp,ℝ).
    Define φ: ℓq ⟶ B(ℓp,ℝ) y ⟼ φy: ℓp ⟶ ℝ x ⟼ ⟨y,x⟩ where ⟨y,x⟩= ∑i∈ℤ>0 yixi, if y=(y1,y2,…) and x=(x1,x2,…).
    To show:
    (ca) φ is a linear transformation.
    (cb) φ is invertible.
    (cc) If y∈ℓq then ‖φy‖=‖y‖.
    (ca)
    To show:
    (caa) If y1,y2∈ℓq then φ(y1+y2)=φ(y1)+φ(y2).
    (cab) If y∈ℓq and c∈ℝ then φ(cy)=cφ(y).
    (caa) Assume y1,y2∈ℓq.
    To show: φ(y1+y2)=φ(y1)+φ(y2).
    To show: If x∈ℓp then φy1+y2(x)=(φy1+φy2)(x).
    Assume x∈ℓp.
    To show: φy1+y2(x)=(φy1+φy2)(x). φy1+y2(x) = ⟨y1+y2,x⟩ = ⟨y1,x⟩+ ⟨y2,x⟩ = φy1(x)+ φy2(x) = (φy1+φy2) (x).
    (cab) Assume y∈ℓq and c∈ℝ.
    To show: φ(cy)=cφ(y).
    To show: If x∈ℓp then φcy(x)=(cφy)(x).
    Assume x∈ℓp.
    To show: φcy(x)=(cφy)(x). φcy(x)= ⟨cy,x⟩= c⟨y,x⟩= c(φy(x))= (cφy)(x). So φ:ℓq→B(ℓp,ℝ) is a linear transformation.
    (cb)
    To show: φ:ℓ2→B(ℓp,ℝ) is invertible.
    To show: There exists ψ:B(ℓp,ℝ)→ℓq such that φ∘ψ=id and ψ∘φ=id.
    Let ψ:B(ℓp,ℝ)→ℓq be given by ψ(γ)= (γ(e1),γ(e2),…) where ei=(0,0,…,0,1,0,0,…) with 1 in the ith spot.
    To show:
    (cba) φ∘ψ=id.
    (cbb) ψ∘φ=id.
    (cba) To show: If γ∈B(ℓp,ℝ) then φ(ψ(γ))=γ.
    Assume γ∈B(ℓp,ℝ).
    To show: φ(ψ(γ))=γ.
    To show: If x∈ℓp then φ(ψ(γ))(x)=γ(x).
    Assume x∈ℓp.
    Let x=(x1,x2,…).
    To show: φ(ψ(γ))(x)=γ(x). φ(ψ(γ))(x) = φ(γ(e1),γ(e2),…)(x) = ⟨ (γ(e1),γ(e2),…), (x1,x2,…) ⟩ = ∑i∈ℤ>0 γ(ei)xi = γ(∑i∈ℤ>0xiei) = γ(x).
    (cbb) To show: ψ∘φ=id.
    To show: If y∈ℓq then ψ(φ(y))=y.
    Assume y∈ℓq.
    Let y=(y1,y2,…).
    To show: ψ(φ(y))=y. ψ(φ(y))= ψ(φy)= (φy(e1),φy(e2),…)= (y1,y2,…), since φy(ei)= ⟨y,ei⟩= ⟨(y1,y2,…),(0,…,0,1,0,…,0)⟩ =yi. So ψ(φ(y))=y.
    (cc)
    To show: If y∈ℓq then ‖φy‖=‖y‖q.
    Assume y∈ℓq.
    Let y=(y1,y2,…).
    To show:
    (cca) ‖φy‖≤‖y‖q.
    (ccb) ‖φy‖≥‖y‖q.
    (cca) To show: If x∈ℓp then ∣φy(x)∣≤‖x‖p‖y‖q.
    Assume x∈ℓp.
    Let x=(x1,x2,…).
    Then ∣φy(x)∣= ∣∑n∈ℤ>0xnyn∣≤ ‖x‖p ‖y‖q by Hölder's inequality.
    So ‖φy‖≤‖y‖q.
    (ccb) To show: ‖φy‖≥‖y‖q.
    To show: There exists x∈ℓp with ∣φy(x)∣≥‖x‖p‖y‖q.
    Let x= ( sgn(y1)∣y1∣q-1, sgn(y2)∣y2∣q-1,… ) . Then ‖x‖p = (∑n∈ℤ>0∣xn∣p)1p = ( ∑n∈ℤ>0 ∣sgn(yn)∣yn∣q-1∣p ) 1p = (∑n∈ℤ>0∣yn∣pq-p)1p = (∑n∈ℤ>0∣yn∣pq(1-1q))1p = (∑n∈ℤ>0∣yn∣pq1p)1p = ((∑n∈ℤ>0∣yn∣q)1q)q1p = ‖y‖qq1p = ‖y‖qq(1-1q) = ‖y‖qq-1. So ∣φy(x)∣ = ∣∑n∈ℤ>0xnyn∣ = ∣ ∑n∈ℤ>0 (sgn(yn)∣yn∣) (sgn(yn)∣yn∣q-1) ∣ = ∑n∈ℤ>0 ∣yn∣q = ‖y‖qq = ‖y‖q ‖y‖qq-1 = ‖y‖q ‖x‖p. So ‖φy‖≥ ‖y‖q.

    □

  6. Let X=C1[0,1], Y=C[0,1] so that functions in X are continuously differentiable and functions in Y are continuous. Y = C[0,1], with norm given by ‖f‖=sup {∣f(t)∣ | t∈[0,1]} , and X = C1[0,1], with norm given by‖f‖0 =‖f‖+‖f′‖, where f′=dfdt. Let D:X→Y be the differentiation operator Df=dfdt.
    1. Show that D:(X,‖·‖0)→(Y,‖·‖) is a bounded linear operator with ‖D‖=1.
    2. Show that D:(X,‖·‖)→(Y,‖·‖) is an unbounded linear operator. (Hint: Consider the sequence of elements tn in X).

    Solution.
    (a)
    To show: ‖D‖=1.
    To show:
    (aa) ‖D‖≥1.
    (ab) ‖D‖≤1.
    (aa) If n∈ℤ>0 then ‖Dtn‖‖tn‖0= ‖ntn-1‖‖ntn-1‖+‖tn‖= nn+1=11+1n. So ‖D‖≥11+1n for x∈ℤ≥0.
    So ‖D‖≥1.
    (ab) Let f∈C1[0,1]. Since ‖Df‖= ‖dfdt‖≤ ‖f‖+ ‖dfdt‖= ‖f‖0 then ‖Df‖‖f‖0≤1.
    So ‖D‖=1.
    (b) To show: If n∈ℤ≥0 then ‖D‖≥n.
    Assume n∈ℤ≥0.
    Since ‖Dtn‖‖tn‖= ‖ntn‖‖tn‖= n1=n, then ‖D‖≥n. So D is unbounded.

    □

  7. Let {a1,a2,…} be a bounded sequence of complex numbers. Define an operator T:l2→l2 by; T(b1,b2,…)= (0,a1b1,a2b2,…).
    1. Show that T is a bounded linear operator and find ‖T‖.
    2. Compute the adjoint operator T*.
    3. Show that if T≠0 then T*T≠TT*.
    4. Find the eigenvalues of T*.

    Solution.
    (a) Let ei=(0,0,…,0ith,1,0,…) so that ‖ei‖=1.
    Then ‖Tei‖2= ∣ai∣2= ∣ai∣2 ‖ei‖2, so ‖T‖≥∣ai∣.
    So ‖T‖≥sup {∣a1∣,∣a2∣,…}. To show: ‖T‖=sup{∣a1∣,∣a2∣,…}.
    To show: ‖T‖≤sup{∣a1∣,∣a2∣,…}.
    Let b=(b1,b2,…)∈ℓ2.
    Then ‖Tb‖2 = ∑i∈ℤ>0 ∣aibi∣2 = ∑i∈ℤ>0 ∣ai∣2 ∣bi∣2 ≤ ∑i∈ℤ>0 k2∣bi∣2 = k2‖b‖2, where k=sup{∣a1∣,∣a2∣,…}.
    So ‖T‖≤k=sup{∣a1∣,∣a2∣,…}.
    So ‖T‖=sup{∣a1∣,∣a2∣,…}.
    (b) Since ℓ2 is a Hilbert space, T* is determined by ⟨b,T*c⟩= ⟨Tb,c⟩= ∑i∈ℤ>0 aibici+1‾= ∑i∈ℤ>0bi (ai‾ci+1)‾. So T*c=(a1‾c2,a2‾c3,a3‾c4,…).
    (c) To show: If T*T=TT* then T=0.
    Assume T*T=TT*.
    Let c=(c1,c2,…)∈ℓ2.
    Then T*T(c) = T*(0,a1c1,a2c2,…) = ( a1‾a1c1, a2‾a2c3,… ) = ( ∣a1∣2c1, ∣a2∣2c2,… ) and TT*(c) = T(a1‾c2,a2‾c3,…) = ( 0, a1a1‾c2, a2a2‾c3,… ) = ( 0, ∣a1∣2c2, ∣a2∣2c3,… ) . Thus T*T=TT* implies ∣a1∣2c1=0, ∣a2∣2c2=∣a1∣2c2, ∣a3∣2c3=∣a2∣2c3,… for all c=(c1,c2,…)∈ℓ2.
    So T*T=TT* implies ∣a1∣2=0, ∣a2∣2=∣a1∣2, ∣a3∣2=∣a2∣2,….
    So T*T=TT* implies 0=a1=a2=….
    So T=0.
    (d) Assume c=(c1,c2,…)∈ℓ2 is an eigenvector of T* with eigenvalue λ.
    Then λ(c1,c2,…)= T*c=(a1‾c2,a2‾c3,…) so that a1‾c2=λc1, a2‾c3=λc2,… and c2=λa1‾c1, c3=λa2‾c2=λa1a2‾c1,… So c= ( c1,λa1‾c1, λ2a1a2‾c1,… ) =c1 ( 1,λa1‾, λ2a1a2‾,… ) . Since c∈ℓ2, 1+∣1a1‾∣∣λ∣+ ∣1a1a2‾∣ ∣λ∣2+⋯ converges.
    By the root test, this series converges if limn→∞ (∣λ∣n∣a1a2⋯an∣)1n= limsupn∈ℤ>0 (∣λ∣n∣a1a2⋯an∣)n<1. So the series converges if ∣λ∣< limsupn∈ℤ>0 ∣a1a2⋯an∣1n and the series diverges if ∣λ∣> limsupn∈ℤ>0 ∣a1a2⋯an∣1n So λ∈ℂ with ∣λ∣<L are eigenvalues of T*, where L=limsupn∈ℤ>0∣a1a2⋯an∣1n.

    □

  8. Let [aij] be an infinite complex matrix, i,j=1,2,…, such that if j∈ℤ>0 then cj=∑i∣aij∣ converges,andc=sup {c1,c2,…}<∞. Show that the operator T:ℓ1→ℓ1 defined by T(b1,b2,…)= ( ∑ja1jbj, ∑ja2jbj,… ) is a bounded linear operator and that ‖T‖=c.

    Solution.
    To show:
    (a) T is a linear operator.
    (b) T:ℓ1→ℓ1 is well defined.
    (c) ‖T‖≤c.
    (d) ‖T‖≥c.
    (a)
    To show:
    (aa) If b=(b1,b2,…) and b′=(b1′,b2′,…) then T(b+b′)=T(b)+T(b′).
    (ab) If b=(b1,b2,…) and λ∈ℂ then T(λb)=λT(b).
    (aa) Let b=(b1,b2,…) and b′=(b1′,b2′,…).
    To show: T(b+b′)=T(b)+T(b′).
    To show: T(b+b′)i=(T(b)+T(b′))i. T(b+b′)i = T(b1+b1′,b2+b2′,…)i = ∑jaij (bj+bj′) = ∑jaijbj +∑jaijbj′ and (T(b)+T(b′))i= ∑jaijbj+ ∑jaijbj′. So T(b+b′)=T(b)+T(b′).
    (ab) Let b=(b1,b2,…) and λ∈ℂ.
    To show: T(λb)=λT(b).
    To show: T(λb)i=(λT(b))i. T(λb)i = ∑jaij (λb)j = ∑jaij (λbj) = λ∑jaijbj = λT(b)i = (λT(b))i. So T(λb)=λT(b).
    So T is a linear operator if it is a function.
    (b)
    To show: T:ℓ1→ℓ1 is well defined.
    To show:
    (ba) If b=(b1,b2,…)∈ℓ1 then Tb is defined.
    (bb) If b=(b1,b2,…)∈ℓ1 then Tb∈ℓ1.
    (ba) Let b=(b1,b2,…)∈ℓ1.
    To show: Tb is defined.
    To show: If i∈ℤ>0 then (Tb)i is defined.
    Assume i∈ℤ>0.
    Then (Tb)i=∑j aijbj which converges since ∑j∣aij∣ converges and ∑j∣bj∣ converges.
    (More details: By the Cauchy-Schwarz inequality ∑i∣aij∣∣bj∣ = ⟨ ( ∣ai1∣ ∣ai2∣,… ) , ( ∣b1∣, ∣b2∣,… ) ⟩ ≤ (∑j∣aij∣) (∑j∣bj∣) = ‖(aij)j∈ℤ>0‖ ‖(bj)j∈ℤ>0‖ and since ∑j∣aij∣∣bj∣ converges, ∑jaijbj converges.)
    (bb) To show: If b=(b1,b2,…)∈ℓ1 then Tb∈ℓ1.
    Assume (b1,b2,…)∈ℓ1.
    To show: Tb∈ℓ1.
    To show: ∑i∣T(b)i∣ converges. ∑i∣T(b)i∣ = ∑i∣∑jaijbj∣ ≤ ∑i∑j∣aijbj∣ = ∑j∑i∣aij∣∣bj∣ ≤ ∑j∑icj ∣bj∣ ≤ ∑jc∣bj∣ = c‖b‖.(*) So Tb∈ℓ1.
    (c) To show: ‖T‖=c.
    Since Tej=(a1j,a2j),… then ‖Tej‖= ∑i∈ℤ>0 ∣aij∣= cj=cj‖ej‖. so ‖T‖≥cj.
    So ‖T‖≥c, since c=sup{∣c1∣,∣c2∣,…}.
    To show: ‖T‖≤c.
    Let b=(b1,b2,…)∈ℓ1.
    By the mysterious computation in (*), ∣Tb∣= ∑i∈ℤ>0 ∣T(b)i∣ ≤c‖b‖. So ‖T‖≤c.
    So ‖T‖=c.

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Notes and References

These are a typed copy of Assignment 2 Solutions from a series of handwritten lecture notes for the class Metric and Hilbert Spaces.

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