Integration: Exercises R Ch 5

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

Last updates: 9 April 2011

Integration: Exercises R Ch 5

  1. Let X consist of two points a and b, put μ({a}) = μ({b}) = 12 , and let Lp(μ) be the resulting real Lp-space. Identify each real function f on X with the point (f(a), f(b)) in the plane, and sketch the unit balls of Lp(μ), for 0<p≤∞. Note that they are convex if and only if 1≤p≤∞. For which p is this unit ball a square? A circle? If μ({a}) ≠ μ({b}) , how does this situation differ from the preceding one?
  2. Prove that the unit ball (open or closed) is convex in every normed linear space.
  3. If 1<p<∞ prove that the unit ball of Lp(μ) is strictly convex; this means that if
    ‖f‖p = ‖g‖p =1,      f≠g,      h= 12(f+g),
    then ‖h‖p <1. (Geometrically, the surface of the ball contains no straight lines.) Show that this fails in every L1(μ), in every L∞(μ), and in every C(X). (Ignore trivialities, such as spaces consisting of only one point.)
  4. Let C be the space of all continuous functions on [0,1], with the supremum norm. Let M consist of all f∈C for which
    ∫01/2 f(t) dt - ∫1/21 =1.
    Prove that M is a closed convex subset of C which contains no element of minimal norm.
  5. Let M be the set of all f∈ L1([0,1]), relative to Lebesgue measure, such that
    ∫01 =1.
    Show that M is a closed convex subset of L1([0,1]) which contains infinitely many elements of minimal norm. (Compare this and Exercise 4 with Theorem 4.10.)
  6. Let f be a bounded linear functional on a subspace M of a Hilbert space H. Prove that f has a unique norm-preserving extension to a bounded linear functional on H, and that this extension vanishes on M⊥.
  7. Construct a bounded linear functional on some subspace of L1(μ) which has two (hence infinitely many) distinct norm-preserving linear extensions to L1(μ).
  8. Let X be a normed linear space, and let X* be its dual space with the norm
    ‖f‖ = sup{ |f(x)| | ‖x‖≤1}.
    (a)   Prove that X* is a Banach space.
    (b)   Prove that the mapping f→f(x) is, for each x∈X, a bounded linear functional on X*, of norm ‖x‖. (This gives a natural imbedding of X in its "second dual" X**, the dual space of X*.)
    (c)   Prove that {‖x‖} is bounded if {xn} is a sequence in X such that {f(xn)} is bounded for every f∈X*.
  9. Let c0, ℓ1, and ℓ∞ be the Banach spaces consisting of all complex sequences x= {ξi}, i=1,2,…, defined as follows:
    x∈ℓ1 if and only if ‖x‖1 = ∑|ξi| <∞,
    x∈ℓ∞ if and only if ‖x‖∞ =sup| ξi|<∞,
    c0 is the subspace of ℓ∞ consisting of all x ∈ℓ∞ for which ξi→0 as i→∞.
    Prove the following four statements.
    (a)   If y= {ηi} ∈ℓ1 and Λx= ∑ξi ηi for every x∈c0, then Λ is a bounded linear functional on c0 and ‖Λ‖= ‖y‖1. Moreover, every Λ∈ (c0)* is obtained this way. In brief, (c0)* =ℓ1.
    (b)   In the same sense, (ℓ1)* =ℓ∞.
    (c)   Every y∈ℓ1 induces a bounded linear functional on ℓ∞, as in (a). However, this does not give all of (ℓ∞) *, since (ℓ∞) * contains nontrivial functionals that vanish on all of c0.
    (d)   c0 and ℓ1 are separable but ℓ∞ is not.
  10. If ∑αi ηi converges for every sequence {ξi} such that ξi→0 as i→∞, prove that ∑ |αi| <∞.
  11. For 0<α≤1, let Lipα denote the space of all complex functions f on [a,b] for which
    Mf= sups≠t |f(s) -f(t)| |s-t| α <∞ .
    Prove that Lipα is a Banach space, if ‖f‖ = |f(a)| +Mf; also if
    ‖f‖ = Mf+ supx |f(x)| .
    (The members of Lipα are said to satisfy a Lipschitz condition of order α.)
  12. Let K be a triangle (two dimensional figure) in the plane, let H be the set consisting of the vertices of K, and let A be the set of all real functions f on K, of the form
    f(xy) = αx+βy+ γ      (α,β, and γ real).
    Show that to each (x0, y0)∈K there corresponds a unique measure μ on H such that
    f(x0, y0) = ∫H fdμ .
    (Compare Sec. 5.22.)
    Replace K by a square, let H again be the set of its vertices, and let A be as above. Show that to each point of K there still corresponds a measure on H, with the above property, but that uniqueness is now lost.
    Can you extrapolate to a more general theorem? (Think of other figures, higher dimensional spaces.)
  13. Let {fn} be a sequence of continuous complex functions on a (nonempty) complete metric space X, such that f(x) = limfn exists (as a complex number) for every x∈X.
    (a)   Prove that there is an open set V≠∅ and an number M<∞ such that |fn(x)| <M for all x∈V and for n=1,2,3,….
    (b)   If ϵ>0, prove that there is an open set V≠∅ and an integer N such that |f(x) -fn(x)| ≤ϵ if x∈V and n≥N.
    Hint for (b): For N=1,2,3,…, put
    AN = {x | | fm(x) - fn(x) | ≤ϵ if m≥N and n≥N } .
    Since X= ⋃AN, some AN has a nonempty interior.
  14. Let C be the space of all real continuous functions on I= [0,1] with the supremum norm. Let Xn be the subset of C consisting of those f for which there exists a t∈I such that | f(s) - f(t) | ≤n|s-t| for all s∈I. Fix n and prove that each open set in C contains an open set which does not intersect Xn. (Each f∈C can be uniformly approximated by a zigzag function g with very large slopes, and if ‖g-h‖ is small, h∉Xn.) Show that this implies the existence of a dense Gδ in C which consists entirely of nowhere differentiable functions.
  15. Let A= (aij) be an infinite matrix with complex entries, where i,j =0,1,2,…. A associates with each sequence {sj} a sequence {σi}, defined by
    σi = ∑j=0 ∞ aij sj      (i= 1,2,3,…),
    provided that these series converge.
    Prove that A transforms every convergent sequence {sj} to a sequence {σi} which converges to the same limit if and only if the following conditions are satisfied:
    limi→∞ aij =0 ,      for each j. (a)
    supi ∑j=0∞ |aij| <∞ . (b)
    limi→∞ ∑j=0∞ aij =1 . (c)
    The process of passing from {sj} to {σi} is called a summability method. Two examples are
    aij = { 1i+1, if 0≤j≤i, 0, if i<j,
    and
    aij = (1-ri) rij, 0<ri<1, ri→1.
    Prove that each of these also transforms some divergent sequences {sj} (even some unbounded ones) to convergent sequences {σi}.
  16. Suppose X and Y are Banach spaces, and suppose Λ is a linear mapping of X into Y, with the following property: For every sequence {xn} in X for which x=limxn and y=limΛxn exist, if is true that y=Λx. Prove that Λ is continuous.
    This is the so called "closed graph theorem". Hint: Let X⊕Y be the set of all ordered pairs (x,y), x∈X and y∈Y, with addition and scalar multiplication defined componentwise. Prove that X⊕Y is a Banach space, if ‖ (x,y) ‖ =‖x‖+ ‖y‖ . The graph G of Λ is the subset of X⊕Y formed by the pairs (x,Λx), x∈X. Note that our hypothesis says that G is closed; hence G is a Banach space. Note that (x,Λx) →x is continuous, one-to-one, and linear and maps G onto X.
    Observe that there exist nonlinear mappings (of ℝ1 onto ℝ1, for instance) whose graph is closed although they are not continuous: f(x)= 1/x if x≠0, f(0)=0.
  17. If μ is a ositive measure, each f∈ L∞(μ) defines a multiplication operator Mf on L2(μ) into L2(μ), such that Mf(g) =fg. Prove that ‖Mf‖ ≤ ‖f‖∞. For which measures μ is it true that ‖Mf‖ = ‖f‖∞? For which f∈ L∞(μ) does Mf map L2(μ) onto L2(μ)?
  18. Suppose {Λn} is a sequence of bounded linear transformations from a normed linear space X to a Banach space Y, suppose ‖Λn‖ ≤M<∞ for all n, and suppose there is a dense set E⊆X such that {Λnx} converges for each x∈E. Prove that {Λnx} converges for each x∈X.
  19. If sn is the nth partial sum of the Fourier series of a function f∈C(T), prove that sn/ logn→0 uniformly, as n→∞, for each f∈ C(T). That is, prove that
    limn→∞ ‖sn‖∞ logn =0.
    On the other hand, if λn/ logn→0, prove that there exists an f∈C(T) such that the sequence { sn(f;0)/ λn} is unbounded. Hint: Apply the reasoning of Exercise 18 and that of Sec. 511, with a better estimate of ‖Dn‖1 than was used there.
  20. (a)  Does there exist a sequence of continuous positive functions fn on ℝ1 such that {fn(x)} is unbounded if and only if x is rational?
    (b)   Replace "rational" by "irrational" in (a) and answer the resulting question.
    (c)   Replace "{fn(x)} is unbounded" by "fn(x)→∞ as n→∞" and answer the resulting analogues of (a) and (b).
  21. Suppose E⊆ℝ1 is measurable, and m(E)=0. Must there be a translate E+x of E that does not intersect E? Must there be a homeomorphism h of ℝ1 onto ℝ1 so that h(E) does not intersect E?
  22. Suppose f∈C(T) and f∈Lipα for some α>0. (See Exercise 11.) Prove that the Fourier series of f converges to f(x), by completing the following outline: It is enough to consider the case x=0, f(0) =0. THe difference between the partial sums sn( fn;0) and the integrals
    1π ∫-ππ f(t) sinnt t dt
    tends to 0 as n→∞. The function f(t)/t is in L1(T). Apply the Riemann-Lebesgue lemma. More careful reasoning shows that the convergence is actually uniform on T.

Notes and References

These exercises are taken from [Ru, Chapt. 5] for a course in "Measure Theory" at the Masters level at University of Melbourne.

References

[RuB] W. Rudin, Principles of Mathematical Analysis, Third edition, McGraw-Hill, 1976. MR??????.

[Ru] W. Rudin, Real and complex analysis, Third edition, McGraw-Hill, 1987. MR0924157.

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