Problems for Metric and Hilbert Spaces February 2014

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

Last update: 27 February 2014

Homework

  1. Define the standard metric on ℂ and show that ℂ, with this metric, is a metric space.
  2. Let d be the standard metric on ℂ. Show that ℝ is a metric subspace of (ℂ,d).
  3. Let X be a set. Define the standard metric on X and show that X, with this metric, is a metric space.
  4. Let (X1,d1),…,(Xn,dn) be metric spaces. Define the product metric d on X1×⋯×Xn and show that (X1×⋯×Xn,d) is a metric space.
  5. Let (X,‖‖) be a normed vector space. Define the standard metric on X and show that X, with this metric, is a metric space.
  6. Define the standard metric on ℝn and show that ℝn, with this metric, is a metric space.
  7. Define the standard norm on ℝn and show that ℝn, with this norm, is a normed vector space.
  8. Define the norm ‖‖p on ℝn and show that (ℝn,‖‖p) is a normed vector space.
  9. Let X be a nonempty set. Define the set of bounded functions B(X,ℝ) and the sup norm on B(X,ℝ). Show that B(X,ℝ), with this norm, is a normed vector space.
  10. Let a,b∈ℝ with a<b. Define the set of continuous functions C([a,b],ℝ) and the L1-norm on C([a,b],ℝ). Show that C([a,b],ℝ), with this norm, is a normed vector space.
  11. Let a,b∈ℝ with a<b. Show that the set Cbd([a,b],ℝ) of bounded continuous functions is a metric subspace of C([a,b],ℝ) with the L1-norm.
  12. Let X be a metric space and let x1,x2,… be a sequence in X. Show that limn→∞xn is unique, if it exists.
  13. Let (X1,d1),…,(Xℓ,dℓ) be metric spaces. Show that a sequence xn‾=(xn(1),…,xn(ℓ)) in X1×⋯×Xℓ converges if and only if each of the sequences xn(i) (in Xi) converges.
  14. Let (X,d) be a metric space. Show that the metric d′:X×X→ℝ given by d′(x,y)= d(x,y) 1+d(x,y) is equivalent to d.
  15. Let (X,d) be a metric space. Show that (X,d′) is a bounded metric space, where d′(x,y)= d(x,y) 1+d(x,y) .
  16. Give an example of X and two metrics d and d′ on X such that d is equivalent to d′ and (X,d) is not bounded and (X,d′) is bounded.
  17. Let (X1,d1),…,(Xℓ,dℓ) be metric spaces and let (X1×⋯×Xℓ,d) be the product metric space. Let σ:(X1×⋯×Xℓ)×(X1×⋯×Xℓ)→ℝ given by σ(x,y)=max { di(xi,yi)  | 1≤i≤ℓ } . Show that σ is a metric on X1×⋯×Xℓ and d is equivalent to σ.
  18. Let (X1,d1),…,(Xℓ,dℓ) be metric spaces and let (X1×⋯×Xℓ,d) be the product metric space. Let ρ:(X1×⋯×Xℓ)×(X1×⋯×Xℓ)→ℝ be given by ρ(x,y)= ( ∑i=1ℓdi (xi,yi)2 ) 12 . Show that ρ is a metric on X1×⋯×Xℓ and d is equivalent to ρ.
  19. Let X be a set and let d and d′ be metrics on X. Show that d and d′ are equivalent if and only if d and d′ satisfy the condition if x,y∈X then there exist k,k′∈ℝ such that d(x,y)≤kd′(x,y) ≤k′d(x,y).
  20. Let (X,d) be a metric space. Define the metric space topology on X and show that it is a topology on X.
  21. Let X be a set and let d be the discrete metric on X. Determine which subsets of X are in the metric space topology on X.
  22. Give two metrics d and d′ on ℝ such that ℚ is open in the metric space topology on (ℝ,d) and ℚ is not open in the metric space topology on (ℝ,d′).
  23. Let X be a topological space and let E be a subset of X. Let E∘ be the interior of E. Show that E is open if and only if E=E∘.
  24. Let X be a topological space and let E be a subset of X. Let E∘ be the interior of E. Show that E∘ is the set of interior points of E.
  25. Let X be a topological space and let x∈X. Consider the following definitions of "neighborhood of x":
    1. A neighborhood of x is a set N⊆X such that x∈N∘.
    2. A neighborhood of x is a set V⊆X such that there exists an open set U of X with x∈U⊆V.
    Show that these two definitions of "neighborhood of x" are equivalent.
  26. Let X be a topological space and let E be a subset of X. Let E‾ be the closure of E. Show that E is closed if and only if E=E‾.
  27. Let X be a topological space and let E be a subset of X. Let x∈X. Show that x is a closed point of E if and only if there exists a sequence x1,x2,… of points in E such that limn→∞xn=x.
  28. Let (X,d) be a metric space and let x∈X and r∈ℝ>0. Show that the closed ball B‾(x,r)= {y∈X | d(x,y)≤r} is a closed set in the metric space topology on X.
  29. Give an example of a metric space (X,d) and a point x∈X such that B‾(x,1)≠B(x,1)‾.
  30. Let (X,d) be a metric space and let x∈X and r∈ℝ>0. Show that B(x,r)‾⊆B‾(x,r).
  31. In ℝ with the usual topology give an example of
    1. a set A⊆ℝ which is both open and closed,
    2. a set B⊆ℝ which is open and not closed,
    3. a set C⊆ℝ which is closed and not open,
    4. a set D⊆ℝ which is not open and not closed.
  32. Let X=ℝ with the usual topology. Show that
    1. [0,1)⊆ℝ is not open and not closed,
    2. ℚ⊆ℝ is not open and not closed.
  33. Let X be a set with the discrete metric d. Show that every subset of X is both open and closed (in the metric space topology on X).
  34. Let X be a set and let 𝒞 be a collection of subsets of X. Show that 𝒞 is the set of closed sets for a topology on X if and only if 𝒞 satisfies
    1. finite unions of elements of 𝒞 are in 𝒞,
    2. Arbitrary intersections of elements of 𝒞 are in 𝒞,
    3. ∅∈𝒞 and X∈𝒞.
  35. Let X be a topological space and let Y⊆X with the subspace topology. Show that
    1. B⊆Y is open in Y if and only if B=Y∩A for some set A⊆X which is open in X.
    2. B⊆Y is closed in Y if and only if there exists F⊆X closed in X such that B=Y∩F.
  36. Let X1,…,Xℓ be topological spaces and let X1×⋯×Xℓ have the product topology. Show that
    1. If A1⊆X1,…,Aℓ⊆Xℓ are open then A1×⋯×Aℓ⊆X1×⋯×Xℓ is open.
    2. If F1⊆X1,…,Fℓ⊆Xℓ are closed then F1×⋯×Fℓ⊆X1×⋯×Xℓ is closed.
  37. Let (X1,d1),…,(Xℓ,dℓ) be metric spaces and let d be the product metric on X1×⋯×Xℓ. Show that the metric space topology on (X1×⋯×Xℓ,d) is the product topology for X1×⋯×Xℓ, where X1,…,Xℓ have the metric space topology.
  38. Let X be a topological space and let A⊆X. Show that if x∈X satisfies if r∈ℝ>0 then B(x,r)∩A≠∅ and B(x,r)∩Ac≠∅ then x∈∂A.
  39. Let X be a topological space and let A⊆X. Show that ∂A is a closed subset of X.
  40. Let X=ℝ with the usual topology.
    1. Determine (with proof) ∂([0,1]).
    2. Determine ∂ℚ (with proof, of course).
  41. Let (X,d) be a metric space. Let x∈X. Show that {x}⊆X is closed (in the metric space topology on X).
  42. Let (X,d) be a metric space and let x∈X. Show that x is isolated if and only if there exists ε∈ℝ>0 such that B(x,ε)={x}.
  43. Let X=ℝ with the usual topology. Show that
    1. ℤ>0⊆ℝ is a discrete set in ℝ,
    2. {1n | n∈ℤ>0}⊆ℝ is a discrete set in ℝ.
  44. Let X be a discrete topological space. Show that every subset of X is both open and closed.
  45. Let X be a topological space. Show that X is discrete if and only if the only convergent sequences are those which are eventually constant.
  46. Let X=ℝ with the usual topology.
    1. Show that ℚ is dense in ℝ.
    2. Show that ℚc is dense in ℝ.
    3. Show that ℤ>0 is nowhere dense in ℝ.
    4. Show that ℤ is nowhere dense in ℝ.
    5. Show that ℝ is nowhere dense in ℝ2.
  47. Let C be the Cantor set in ℝ, where ℝ has the usual topology.
    1. Show that C is closed in ℝ.
    2. Show that C does not contain any interval in ℝ.
    3. Show that C has nonempty interior.
    4. Show that C is nowhere dense in ℝ.
  48. Let (X,d) and (Y,ρ) be metric spaces and let f:X→Y be a function. Let a∈X. Show that f is continuous at a if and only if f satisfies: if ε∈ℝ>0 then there exists δ∈ℝ>0 such that
    if x∈X and d(x,a)<δ then ρ(f(x),f(a))<ε.
  49. Let X and Y be topological spaces and let f:X→Y be a function. Show that f is continuous if and only if f satisfies: if a∈X then f is continuous at a.
  50. Let X and Y be metric spaces and let f:X→Y be a function. Let a∈X. Show that f is continuous at a if and only if f satisfies: if ε∈ℝ>0 then there exists δ∈ℝ>0 such that f(B(a,δ))⊆ B(f(a),ε).
  51. Let X and Y be metric spaces and let f:X→Y be a function. Let a∈X. Show that f is continuous at a if and only if f satisfies if x1,x2,… is a sequence in X and limn→∞xn=x0 then limn→∞f(xn)=f(x0).
  52. Let X and Y be metric spaces and let f:X→Y be a function. Let a∈X. Show that f is continuous at a if and only if f satisfies: if x1,x2,… is a convergent sequence in X then limn→∞f(xn)=f(limn→∞xn).
  53. Let X and Y be topological spaces. Let f:X→Y be a function. Show that f is continuous if and only if f satisfies: if F⊆Y is closed then f-1(F) is closed in X.
  54. Let X,Y and Z be topological spaces and let f:X→Y and g:Y→Z be continuous functions. Show that g∘f is a continuous function.
  55. Let X,Y be topological spaces and let f:X→Y be a continuous function. Let A⊆X. Show that the restriction of f to A, f|A:A→Y is continuous.
  56. Let (X,d),(Y1,ρ1) and (Y2,ρ2) be metric spaces. Let f:X→Y1 and g:X→Y2 be functions. Define h:X→Y1×Y2 by h(x)=(f(x),g(x)). Let a∈X. Show that h is continuous at a if and only if f and g are continuous at a. X ⟶Δ X×X ↓f×g Y1×Y2 x ⟼ (x,x) ↧ (f(x),g(x))
  57. Let (X,d),(Y1,ρ1) and (Y2,ρ2) be metric spaces. Let f:X→Y1 and g:X→Y2 be functions. Define h:X→Y1×Y2 by h(x)=(f(x),g(x)). Let a∈X. Show that h is continuous if and only if f and g are continuous.
  58. Let (X,d) be a metric space and let f:X→ℝ and g:X→ℝ be continuous functions.
    1. Show that f+g is continuous.
    2. Show that f·g is continuous.
    3. Show that f-g is continuous.
    4. Show that if g satisfies: if x∈X then g(x)≠0 then f/g is continuous.
  59. Let X be a topological space and let f:X→ℝ and g:X→ℝ be continuous functions.
    1. Show that f+g is continuous.
    2. Show that f·g is continuous.
    3. Show that f-g is continuous.
    4. Show that if g satisfies: if x∈X then g(x)≠0 then f/g is continuous.
  60. Let (X,d) be a metric space. Show that d:X×X→ℝ is continuous.
  61. Let f:ℝ×ℝ→ℝ be given by f(x,y)= { xyx2+y2, if (x,y)≠ (0,0) 0, if (x,y)= (0,0). If a∈ℝ let ℓa:ℝ→ℝ be given by ℓa(y)=f(a,y). If b∈ℝ let rb:ℝ→ℝ be given by rb(x)=f(x,b).
    1. Let a∈ℝ. Show that ℓa:ℝ→ℝ is continuous.
    2. Let b∈ℝ. Show that rb:ℝ→ℝ is continuous.
    3. Show that f is not continuous at (0,0).
  62. Give an example of metric spaces X,Y and Z and a function f:X×Y→ℤ such that
    1. if x∈X then ℓx: Y ⟶ Z y ⟼ f(x,y) is continuous,
    2. if y∈Y then ry: X ⟶ Z x ⟼ f(x,y) is continuous,
    3. f:X×Y→Z is not continuous.
  63. Let X be a topological space and let A⊆X and B⊆X be closed subsets of X such that X=A∪B. Let Y be a topological space and let f:A→Y and g:B→Y be continuous functions such that if x∈A∩B then f(x)=g(x). Define h:X→Y by h(x)= { f(x), if x∈A, g(x), if x∈B. Show that h:X→Y is continuous.
  64. Show that the function f:ℝ→ℝ given by f(x)= x1+x2, is uniformly continuous.
  65. Show that the function f:ℝ→ℝ given by f(x)=x2, is not uniformly continuous.
  66. Let (X,d) and (Y,ρ) be metric spaces and let f:X→Y be a function. Show that if f is uniformly continuous then f is continous.
  67. Let (X,d) and (Y,ρ) be metric spaces. Let {fk} be a sequence of functions fk:X→Y and let f:X→Y be a function. Show that {fk} converges uniformly to f if and only if sup{ρ(fk(x),f(x)) | x∈X}→0.
  68. Let {fk} be a sequence of continuous functions from a metric space (X,d) to a metric space (Y,ρ). Suppose that {fk} converges uniformly to f:X→Y. Show that f:X→Y is continuous.
  69. Let (X,d) be a metric space and let x1,x2,… be a sequence in X. Show that if (x1,x2,…) is a Cauchy sequence then {x1,x2,…} is bounded.
  70. Let (X,d) be a metric space and let (x1,x2,…) be a sequence in X. Show that if (x1,x2,…) converges then (x1,x2,…) is a Cauchy sequence.
  71. Let (X,d) be a metric space and let (x1,x2,…) be a sequence in X. Show that if (x1,x2,…) is a Cauchy sequence and contains a convergent subsequence then (x1,x2,…) converges.
  72. Give an example of a metric space (X,d) and a Cauchy sequence (x1,x2,…) in X that does not converge.
  73. Give an example of a metric space (X,d) that is not complete.
  74. Show that ℝ with the usual metric is a complete metric space.
  75. Let (X,d) be a complete metric space. Let Y⊆X be a subspace of X. Show that if Y is closed then (Y,d) is complete.
  76. Give an example of a metric space (X,d) and a subspace Y⊆X such that (X,d) is a complete metric space and (Y,d) is not complete.
  77. Let (X,d) be a metric space and let Y⊆X be a subspace of X. Show that if (Y,d) is complete then Y is a closed subset of X.
  78. Let (X1,d1),…,(Xℓ,dℓ) be metric spaces and let (X1×⋯×Xℓ,d) be the product metric space. Show that if (X1,d1),…,(Xℓ,dℓ) are complete then (X1×⋯×Xℓ,d) is complete.
  79. Let (X,d) and (Y,d′) be metric spaces and let Cb(X,Y) be the set of bounded continuous functions f:X→Y with the metric given by ρ(f,g)=sup { d′(f(x),g(x))  | x∈X } . Show that if (Y,d′) is complete then (Cb(X,y),ρ) is a complete metric space.
  80. Let (X,d) and (Y,d′) be metric spaces and let Cb(X,Y) be the set of bounded continuous functions f:X→Y with the metric ρ:Cb(X,Y)×Cb(X,Y)→ℝ>0 given by ρ(f,g)=sup { d′(f(x),g(x))  | x∈X } . Show that (Cb(X,Y),ρ) is a metric space.
  81. Let (X,d) be a metric space and let U⊆X and V⊆X. Show that if U and V are open and dense then U∩V is open and dense.
  82. Let X=ℝ with the usual metric and let U=ℚ and V=ℚc. Show that U and V are dense and U∩B=∅.
  83. Let X=ℚ with the usual metric and let ℚ={q1,q2,q3,…} be an enumeration of ℚ. For n∈ℤ>0 let Qn=ℚ\{qn}.
    1. Show that if n∈ℤ>0 then Qn is open and dense.
    2. Show that ⋂n∈ℤ>0Qn=∅.
  84. Let (X,d) be a complete metric space and let {U1,U2,U3,…} be a sequence of open and dense subsets of X. show that ⋂n∈ℤ>0Un is dense in X.
  85. Let (X,d) be a complete metric space and let {F1,F2,F3,…} be a sequence of nowhere dense subsets of X. Show that ⋃n∈ℤ>0Fn has empty interior.
  86. Show that ℝ, with the standard topology, cannot be be written as a countable union of nowhere dense sets.
  87. Let X=ℚ, with the standard topology. Let ℚ={q1,q2,q3,…} be an enumeration of ℚ.
    1. Show that {qn} is nowhere dense.
    2. Determine the interior of ⋃n∈ℤ>0{qn}.
  88. Let (X,d) be a complete metric space and let {f1,f2,f3,…} be a sequence of continuous functions fn:X→ℝ,for  n∈ℤ>0. Assume that if x∈X then {f1(x),f2(x),…} is bounded in X. Show that there exists and open set U⊆X such that there exists M∈ℝ>0 such that
    if x∈U and n∈ℤ>0 then |fn(x)|≤M.
  89. Show that the completion of (0,1) with the usual metric is [0,1] with the usual metric.
  90. Let (X,d) and (Y,ρ) be metric spaces and let f:X→Y be an isometry. Show that f is injective.
  91. Give an example of an isometry f:X→Y that is not surjective.
  92. Let (X,d) be a metric space. Show that a completion of (X,d) exists.
  93. Let (X,d) be a metric space. Show that the completion of (X,d) is unique (if it exists).
  94. Let (X,d) be a metric space. Let ((X1,d1),φ1) and ((X2,d2),φ2) be completions of (X,d). Show that there is a surjective isometry f:X1→X2 such that f∘φ1=φ2.
  95. Let X={0,1} and let 𝒯={∅,X,{0}}.
    1. Show 𝒯 is a topology on X.
    2. Show that there does not exist a metric d:X×X→ℝ≥0 such that 𝒯 is the metric space topology of (X,d).
  96. Let X be a complete metric space and let f:X→X be a contraction. Show that f has a unique fixed point.
  97. Let α∈ℝ with 0<α<1. Let X be a complete metric space and let f:X→X be a α-contraction. Let x∈X, x0=x and xn+1=f(xn), for n∈ℤ≥0.
    1. Show that the sequence x0,x1,x2,… converges in X.
    Let p=limn→∞xn.
    1. Show that d(x,p)≤d(x,f(x))1-α.
    2. Show that f(p)=p.
  98. Let U be an open subset of ℝ2. Let f:U→ℝ be a continuous function which satisfies the Lipschitz condition with respect to the second variable: There exists α∈ℝ>0 such that
    if (x,y1),(x,y2)∈U then |f(x,x1)-f(x,y2)|≤α|y1,y2|.
    Show that if (x0,y0)∈U then there exists δ∈ℝ>0 such that y′(x)=f(x,y(x)) has a unique solution y:[x0-δ,x0+δ]→ℝ such that y(x0)=y0.
  99. Let (X,‖‖) be a normed vector space. Show that (X,‖‖) is complete if and only if every norm absolutely convergent series is convergent in X.
  100. Let S be the set of linear combinations of step functions f:ℝk→ℝ. Let ‖f‖=∫|f| andd(f,g)= ‖f-g‖ for f,g∈S.
    1. show that ‖‖:S→ℝ≥0 is not a norm on S.
    2. Show that d:S×S→ℝ≥0 is not a metric on S.
  101. Let S be the set of linear combinations of step functions f:ℝk→ℝ. Let ∑i∈ℤ>0fi be a series in S which is norm absolutely convergent. Show that there exists a full set in ℝk on which ∑i∈ℤ≥0fi converges.
  102. Let S be the set of linear combinations of step functions f:ℝk→ℝ. Let ∑n∈ℤ>0fk be a series in S which is norm absolutely convergent. Show that ∑n∈ℤ>0fn=0 almost everywhere if and only if the limit of the norms of the partial sums of fn converge to 0.
  103. Let L′ be the set of functions which are equal almost everywhere to limits of norm absolutely convergent series in S, where S is the set of linear combinations of step functions f:ℝk→ℝ. Define ‖f‖=∫fand d(f,g)=‖f-g‖ for f,g∈L′.
    1. Show that ‖‖:L′→ℝ≥0 is a norm on L′.
    2. Show that d:L′×L′→ℝ≥0 is a metric on L′.
  104. Let I be a closed and bounded interval in ℝ. Let x1,x2,x3,…, be a sequence in I. Show that there exists a subsequence xn1,xn2,xn3,… of x1,x2,x3,… such that xn1,xn2,xn3,… converges in I.
  105. Let X be a compact topological space. Let C be a closed subset of X. Show that C is compact.
  106. Let X be a metric space and let E be a compact subset of X. Show that E is closed and bounded.
  107. Let C([0,1],ℝ)={f:[0,1]→ℝ | f is continuous} and let d(f,g)=sup { |f(x)-g(x)|  | x∈[0,1] } .
    1. Show that d:C([0,1],ℝ)×C([0,1],ℝ) is a metric on C([0,1],ℝ).
    2. Let A=B‾1(0)={f∈C([0,1],ℝ) | d(f,0)≤1}. Show that A is closed and bounded.
    3. Show that A is not compact.
  108. Let K⊆ℝ. Show that K is compact if and only if K is closed and bounded.
  109. Let (X,d) and (Y,d′) be metric spaces and let f:X→Y be a continuous function. Let K be a compact subset of X. Show that f(K) is compact in Y.
  110. Let X be a compact metric space. Let f:X→ℝ be a continuous function. Show that f attains a maximum and a minimum value.
  111. Let X be a compact metric space. Let f:X→Y be a continuous function. Show that f is uniformly continuous.
  112. Let X be a set with the discrete metric. Show that X is compact if and only if X is finite.
  113. Let X be a metric space and let A⊆X. Show that if A is totally bounded then A is bounded.
  114. Let X=ℝ with metric given by d(x,y)=min {|x-y|,1}.
    1. Show that X is bounded.
    2. Show that X is not totally bounded.
  115. Let X be a metric space and let A⊆X. Show that the following are equivalent:
    1. Every sequence in A has a convergent subsequence.
    2. A is complete and totally bounded.
    3. Every open cover of A has a finite subcover.
  116. Let X be a topological space. Show that X is compact if and only if X satisfies if 𝒞 is a collection of closed sets such that if ℓ∈ℤ>0 and C1,…,Cℓ∈𝒞 then C1∩⋯∩Cℓ≠∅ then ⋂C∈𝒞C≠∅.
  117. Let X be a topological space and let K⊆X. Assume X is compact. Show that if K is closed then K is compact.
  118. Let X be a topological space and let K⊆X. Assume X is Hausdorff. Show that if K is compact then K is closed.
  119. Show that a compact Hausdorff space is normal.
  120. Let X and Y be topological spaces and let f:X→Y be a continuous function. Let K⊆X. Show that if K is compact then f(K) is compact.
  121. Let X and Y be topological spaces and let f:X→Y be a continuous function. Assume f is a bijection, X is compact and Y is Hausdorff. Show that the inverse function f-1:Y→X is continuous.
  122. Let X=[0,2π) and Y=S1={(x,y)∈ℝ2 | x2+y2=1}. Let f:[0,2π)→S1 be given by f(x)=(cos x,sin x).
    1. Show that f is continuous.
    2. Show that f is a bijection.
    3. Show that f-1:S1→[0,2π) is not continuous.
    4. Why does this not contradict the previous problem?
  123. Let X be a set with Card(X)>1.
    1. Show that X with the discrete topology is disconnected.
    2. Show that X with the indiscrete topology is connected.
  124. Let X1 and X2 be the subspaces of ℝ given by X1-ℝ\{0} and X2=ℚ. Show that X1 and X2 are disconnected.
  125. Let Y={0,1} with the discrete topology. Let X be a topological space. Show that X is connected if and only if every continuous function f:X→Y is constant.
  126. Let X and Y be topological spaces and let f:X→Y be a continuous function. Let E⊆X. Show that if E is connected then f(E) is connected.
  127. Let X be a connected topological space and let A⊆X. Show that if A is connected then the closure of A, A‾, is connected.
  128. Let A=(-∞,0) and B=(0,∞) as subsets of ℝ. Show that A is connected, B is connected and A∪B is not connected.
  129. Let X be a topological space. Let 𝒮 be a collection of subsets of X such that ⋂A∈𝒮A≠∅. Show that ⋃A∈𝒮A is connected.
  130. Let X be a topological space such that if x,y∈X then there exists A⊆X such that x∈A, y∈A and A is connected. Show that X is connected.
  131. Let X be a topological space. For x∈X let Cx be the connected component containing x.
    1. Let y∈X. Show that Cy is connected and closed.
    2. Show that the connected components of X partition X.
  132. Let X be a set with the discrete topology. Determine (with proof) the connected components of X.
  133. Show that a subset of ℝ is connected if and only if it is an interval.
  134. Carefully state the Intermediate Value Theorem.
  135. State and prove the Intermediate Value Theorem.
  136. Let X be a connected topological space and let f:X→ℝ be a continuous function. Show that if x,y∈X and r∈ℝ such that f(x)≤r≤f(y) then there exists c∈X such that f(c)=r.
  137. Let X be a topological space. Show that if X is path connected then X is connected.
  138. Let X={(t,sin(πt)) | t∈(0,2]}.
    1. Let φ:ℝ2→ℝ be given by φ(x,y)=x. Show that φ:X→(0,2] is a homeomorphism.
    2. Show that X is connected.
    3. Show that X‾ is connected.
    4. Show that X‾ is not path connected.
  139. Let p∈ℝ≥1. Let V=ℝn with ‖(a1,…,an)‖p= ( |a1|p +⋯+ |an|p ) 1p . Show that (V,‖‖p) is a Banach space.
  140. Let V=ℝn with ‖(a1,…,an)‖∞= sup{|a1|,|a2|,…,|an|}. Show that (V,‖‖∞) is a Banach space.
  141. Let ℓp be the vector space of sequences (a1,a2,…) in ℝ such that ∑n∈ℤ>0|an|p<∞. Let ‖(a1,a2,…)‖q= (∑n∈ℤ>0|an|p)1p. Show that (ℓp,‖‖p) is a Banach space.
  142. Let ℓ∞ be the vector space of bounded sequences (a1,a2,…) in ℝ with ‖(a1,a2,…)‖∞=sup {|ai| | i∈ℤ>0}. Show that (ℓ∞,‖‖∞) is a Banach space.
  143. Let X be a topological space. Let F=ℝ or ℂ. Let Cb(X,F) be the vector space of bounded continuous functions with ‖f‖=sup {|f(x)| | x∈X}. Show that (Cb(X,F),‖‖) is a Banach space.
  144. Let (V,‖‖) be a normed vector space. Show that (V,‖‖) is a Banach space if and only if every norm absolutely convergent series is convergent.
  145. Let (V,‖‖) be a normed vector space. Show that a Schauder basis of V is a total set.
  146. Let (V,‖‖) be a normed vector space. Show that if V has a Schauder basis then V is separable.
  147. Let (V,‖‖) be a normed vector space. Show that there exists a countable dense set in V is and only if there exists a countable total set in V.
  148. Let ei=(0,0,…,0,1,0,0,…) with 1 in the ith entry. Show that {e1,e2,e3,…} is a Schauder basis of ℓp.
  149. Show that ℓ∞ is not separable.
  150. Show that ℓ∞ does not have a Schauder basis.
  151. Let Cb([0,1],ℝ) be the vector space of bounded continuous functions on [0,1].
    1. Show that the set of polynomials is dense in the space of continuous functions on [0,1] with the supremum norm.
    2. Show that the polynomials with rational coefficients form a countable dense set in Cb([0,1],ℝ).
    3. Show that Cb([0,1],ℝ) is separable.
  152. Let (V,‖‖) be a Banach space.
    1. Show that if dim(V)<∞ then the closed unit ball in V is compact.
    2. Show that if V is infinite dimensional then the closed unit ball in V is not compact.
  153. Let V be a finite dimensional vector space. Let ‖‖1 and ‖‖2 be norms on V. Show that ‖‖1 and ‖‖2 are equivalent.
  154. Let (V,‖‖) be a normed vector space. Show that if V is finite dimensional then the closed unit ball in V is compact.
  155. Let (V,‖‖) be an infinite dimensional Banach space. Construct a sequence (e1,e2,…) of unit vectors in V such that if i,j∈ℤ>0 and i≠j then d(ei,ej)>12.
  156. Let V=ℂn with ⟨ (x1,x2,…,xn), (y1,y2,…,yn) ⟩ =∑i=1nxi yi‾. show that (V,⟨⟩) is a Hilbert space.
  157. Let ℓ2 be the set of sequences (a1,a2,…) in ℂ such that ∑i∈ℤ>0|ai|2<∞. Let ⟨ (x1,x2,…), (y1,y2,…) ⟩ =∑i∈ℤ>0 xiyi‾. Show that (ℓ2,⟨⟩) is a Hilbert space.
  158. Carefully define the space L2([a,b]) and show that if ⟨f,g⟩= ∫abf(t) g(t)‾dt then (L2([a,b]),⟨,⟩) is a Hilbert space.
  159. Let (V,⟨⟩) be an inner product space and let ‖x‖=⟨x,x⟩ for x∈V. Show that if x,y∈V then ‖x+y‖2+ ‖x-y‖2= 2‖x‖2+ 2‖y‖2.
  160. Let (V,‖‖) be a normed vector space. Define ⟨x,y⟩=14 ( ‖x+y‖2- ‖x-y‖2+i ‖x+iy‖2-i ‖x-iy‖2 ) for x,y∈V. Show that if ‖‖ satisfies if x,y∈V then ‖x+y‖2+ ‖x-y‖2= 2‖x‖2+ 2‖y‖2 then ⟨⟩ is a norm on V.
  161. Let (V,⟨⟩) be an inner product space. Show that the Gram-Schmidt process produces an orthonormal basis of V.
  162. Let (V,⟨⟩) be an inner product space. Let W be a vector subspace of V. Show that if W admits an orthogonal projection P then P is unique.
  163. Let (V,⟨⟩) be a Hilbert space. Let W be a vector subspace of V. Show that if there is an orthogonal projection P onto W then W is closed.
  164. Let (V,⟨⟩) be a Hilbert space. Let (a1,a2,…) be an orthonormal sequence in V. Let W=span{a1,a2,…} and let M=W‾ be the closure of W. Show that P:V→V given by P(x)=∑n∈ℤ>0 ⟨x,an⟩an is an orthonormal projection onto M.
  165. Let (V,⟨⟩) be a Hilbert space. Let (a1,a2,…) be an orthonormal sequence in V. Let x∈V. Show that P(x)=∑n∈ℤ>0 ⟨x,an⟩an is independent of the order of the terms in the sum.
  166. Let (V,⟨⟩) be a Hilbert space. Let (a1,a2,…) be an orthonormal sequence in V. Let x∈V. Show that ∑n∈ℤ>0 |⟨x,an⟩|2 ≤‖x‖2.
  167. Let (V,⟨⟩) be a separable Hilbert space. Show that V has a Schauder basis.
  168. Let (V,⟨⟩) be a Hilbert space. Assume that V has a countable orthonormal set {a1,a2,…} which is a total set. Show that {a1,a2,…} is a Schauder basis for V.
  169. Show that the functions em(t)= 12πeimt, for m∈ℤ, form an orthonormal basis of L2([0,2π]).
  170. Let (V,⟨⟩) be a Hilbert space and let W be a closed subspace of V. Show that V=W⊕W⊥.
  171. Let V and W be normed vector spaces and let T:V→W be a linear transformation. Show that if V is finite dimensional then T is bounded.
  172. Let V=C([0,1]) be the vector space of continuous functions f:[0,1]→ℝ with norm given by ‖f‖=∫01 |f(t)|dt. Let T:V→ℝ be given by T(f)=f(0).
    1. Show that V is infinite dimensional.
    2. Show that T is not bounded.
  173. Let V,W be normed vector spaces and let T:V→W be a linear transformation. Show that if T is continuous then T is bounded.
  174. Let V,W be normed vector spaces and let T:V→W be a linear transformation. Show that if T is bounded then T is uniformly continuous.
  175. Let V,W be normed vector spaces. Show the identity operator idV:V→V has operator norm 1 and the zero operator 0:V→W has operator norm 0.
  176. Let ℓ∞ be the vector space of bounded sequences (a1,a2,…) in ℝ with norm given by ‖(a1,a2,…)‖=sup {|a1|,|a2|,…}. Let (λ1,λ2,…) be a bounded sequence in ℝ. Define T:ℓ∞→ℓ∞ by T(a1,a2,…)= (λ1a1,λ2a2,…).
    1. Show that T is a well defined linear transformation.
    2. Show that ‖T‖=sup {|λ1|,|λ2|,…}.
  177. Let a,b∈ℝ with a<b. Let k:[a,b]×[a,b]→ℂ be a continuous function. Let X={f:[a,b]→ℂ | f is continuous} with the supremum norm. Define T:X→X by (Tf)(t)=∫abk(t,s)x(s)ds.
    1. Show that X is a Banach space.
    2. Show that if f∈X then Tf∈X.
    3. Show that T is a bounded linear transformation.
  178. Let V,W be normed vector spaces. Let B(V,W) be the vector space of bounded linear operators with the operator norm. Show that if W is a Banach space then B(V,W) is a Banach space.
  179. Let a,b∈ℝ with a<b. Let C([a,b]) be the vector space of continuous functions f:[a,b]→ℂ with the supremum norm. Define T:C([a,b])→ℂ by Tf=∫abf(t)dt Show that the operator norm of T is ‖T‖=b-a.
  180. Let H1 and H2 be Hilbert spaces and let T:H1→H2 be a bounded linear transformation.
    1. Show that there exists a unique function T*:H2→H1 such if x∈H1 and y∈H2 then ⟨Tx,y⟩2= ⟨x,T*y⟩1.
    2. Show that T* is a linear transformation.
    3. Show that T* is bounded.
    4. Show that ‖T*‖=‖T‖.
  181. Let H be a Hilbert space and let f:H→ℂ be a bounded linear functional. Show that there exists a unique a∈H such that if x∈H then f(x)=⟨x,a⟩.
  182. Let H1 and H2 be Hilbert spaces and let T:H1→H2 be a bounded linear transformation. Show that T**=T.
  183. Let a,b∈ℝ with a<b. Let C([a,b]) be the Banach space of continuous functions f:[a,b]→ℝ with the supremum norm. Let t0∈[a,b]. Define A:C([a,b])→ℝ by Af=f(t0). Show that A is a bounded linear functional with ‖A‖=1.
  184. Let T:ℂm→ℂn be a linear transformation. Let A be the matrix of T and let A*=A‾t.
    1. Show that the matrix of T* is A*.
    2. Show that ‖T‖=γ, where γ is the largest eigenvalue of A*A.
  185. Let V and W be normed vector spaces and let T:V→W be a bounded linear operator. Show that T*T is self adjoint and positive.
  186. Let p∈ℝ≥1 and let q be defined by 1p+1q=1. Show that the dual of the Banach space ℓp is ℓq.
  187. Let p∈ℝ≥1. Show that ℓp is a reflexive Banach space.
  188. Let X be a normed vector space and let B={x∈X | ‖x‖≤1}. Let T:X→X be a compact operator. Show that T(B)‾ is compact.
  189. Let X be a normed vector space and let A be a bounded subset of X. Let T:X→X be a compact operator. Show that T(A)‾ is compact.
  190. Let X be a finite dimensional normed vector space and let T:X→X be a linear transformation. Show that T is a compact operator.
  191. Let X=ℂ([a,b]) be the space of continuous functions f:[a,b]→ℝ with the supremum norm. Let k:[a,b]×[a,b]→ℂ be a continuous function and define T:X→X by (Tf)(t)= ∫abk(t,s)f(s)ds Show that T is a compact operator.
  192. Let H be a Hilbert space and let T:H→H be a bounded self adjoint operator. Show that ‖T‖=sup { |⟨Tx,x⟩|  | x∈H,‖x‖=1 } .
  193. Let H be a Hilbert space and let T:H→H be a nonzero compact self adjoint operator.
    1. Show that there exists an eigenvalue λ of T such that |λ|=‖T‖.
    2. Show that if v is an eigenvector of T with eigenvalue λ such that |λ|=‖T‖ then v is a solution of the extremal problem max { ⟨Tu,u⟩  | u∈H,‖u‖ =1 } .
  194. Let H be a Hilbert space and let T:H→H be a nonzero compact self adjoint operator. Show that there exists an orthonormal basis of eigenvectors for H.
  195. Let H be a Hilbert space and let T:H→H be a nonzero compact self adjoint operator. Let Λ be the set of eigenvalues of T. If μ∈Λ let P(μ) be the orthogonal projection onto the subspace Xμ of eigenvectors with eigenvalue μ. Show that if x∈H then Tx=∑μ∈ΛμP(μ)x.
  196. Let V and W be Banach spaces. Let V′ be the dual of V and let W′ be the dual of W. Let T:V→W be a bounded linear operator. Define T*:W′→V′ by T*f=f∘T. Show that T* is a well defined bounded linear operator.
  197. Let V be a Banach space and let V″ be the dual of the dual of V. Define φ:V→V″ by (φ(x))(f)= f(x),forf∈ V′. Show that φ is injective.
  198. Let V and W be reflexive Banach spaces and let T:V→W be a bounded linear operator.
    1. Show that T is transformed to T** by the isomorphisms V≅V″ and W≅W″.
    2. Show that ‖T*‖=‖T‖.
    3. Show that if V and W are Hilbert spaces then T is transformed to T* by the natural isomorphisms V≅V′ and W≅W′.
  199. Let H be an infinite dimensional Hilbert space. Let T:H→H be a bounded self adjoint compact operator. Show that the eigenvalues of T form a sequence converging to 0 and every eigenspace for T is finite dimensional.
  200. Let a,b∈ℝ with a<b. Let λ∈ℝ and let p:[a,b]→ℝ>0 and q:[a,b]→ℝ with p∈C1([a,b]) and q∈C2([a,b]). Let a1,a2,b1,b2∈ℝ with (a1,a2)≠(0,0) and (b1,b2)≠(0,0). Let L:C2([a,b])→C([a,b]) be given by Ly=(-py′)′+qy. Let u,v∈C2([a,b]) such that Lu=0,Lv=0, a1u(a)+a2u′ (a)=0,and b1v(b)+ b2v′(b)=0. Let G:[a,b]×[a,b]→ℝ be given by G(s,t)= { v(t)u(s), if s≤t u(t)v(s), if t≤s. Define T:L2([a,b])→L2([a,b]) by (Tf)(t)= ∫abG(t,s)f(s) ds,for t∈[a,b].
    1. Show that the eigenvalues of T are nonzero and each eigenvector f satisfies a1f(a)+a2f′(a)=0 and b1f(b)+b2f′(b)=0.
    2. Show that f is an eigenvector of T with eigenvalue μ if and only if f is an eigenvector of L with eigenvalue 1μ.
    3. Show that L has a sequence of eigenvalues λ→∞, each eigenspace of L is one dimensional and there is an orthonormal basis of L2([a,b]) of eigenvectors of L.
  201. Let G:[0,π]×[0,π]→ℝ be given by G(t,s)= { t-stπ, if s≤t, s-stπ, if s≥t and let T:L2([0,π])→L2([0,π]) be given by (Tf)(t)=∫0π G(t,s)f(s)ds fort∈[0,π].
    1. Show that T has eigenvalues λn=n2, n∈ℤ>0, and corresponding eigenvectors sn(t)=2πsin nt.
    2. Show that the functions sn(t)=2πsin nt, n∈ℤ>0 form an orthonormal basis of L2([0,π]).

Notes and References

These problems were distilled from the Lecture Notes of J.H. Rubinstein on Metric and Hilbert spaces.

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