Fourier Series
[33/91%]Prove that every function in is uniformly continuous, and use this to prove that translation is strongly continuous on , i.e.,
Use the fact that is dense in to prove that translation is strongly continuous on when , i.e.,
Prove Lemma 13.5, and also derive analogous formulas for the inverse Fourier transforms , and .
This exercise will show how the Fourier transform transforms smoothness of a function into decay of its Fourier coefficients. Show that if then for , and use this to show that
Extend to higher derivatives, and compare Theorem 9.16.
This exercise will show how the Fourier transform transforms decay of a sequence into smoothness of its Fourier transform. Show that if satisfies , then is differentiable and
where . Extend to higher derivatives, and compare Theorem 9.15.
Let and be two polynomials. Their pointwise product is a polynomial of the form . Find an explicit formula for , and explain its relation to the convolution of the sequences and , where we take if and similarly for .
Show that does not imply .
Prove Theorem 13.8 for the cases and .
Theorem 13.8 (Young's Inequality): Fix . If and then , and we have .
Definition 13.6: The convolution of measurable 1-periodic functions and is the function given by , whenever this integral is well defined.
Prove Theorem 13.9.
Theorem 13.9 (Young's Inequality): Fix . If and then , and we have .
Justify the use of Fubini's Theorem in the proof of part (a) of Theorem 13.10.
Prove part (b) of that theorem.
Prove Lemma 13.11, and establish analogous properties for the convolution of sequences.
Lemma 13.11: The following facts hold for .
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Commutativity: .
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Associativity: .
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Distributive laws: .
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Commutativity with translations: , . Here is translation, and the convolution of 1-periodic functions is (Definition 13.6). The convolution of sequences and is the sequence given by , (Definition 13.7).
Given , set and show that . Conclude that if is even then is even and .
Let . Show that is an identity for convolution on , i.e., for every , where .
Remark We will see in Corollary 13.15 that there is no element of that is an identity for convolution on .
Show that if and then .
Prove that convolution commutes with differentiation in the following sense: If and then , and . Extend to and .
Fix . Show that if and then .
Design an approximate identity such that everywhere, and on . How smooth can you make ?
Prove Theorem 13.13 for and for .
The existence of infinitely differentiable, compactly supported functions is demonstrated in Exercise 11.9. Combine Exercises 13.13 and 13.15 with Theorem 13.13 to show that is dense in for , and is dense in with respect to the uniform norm. Conclude that is dense in these spaces for each integer .
Fix . Show that if is Hölder continuous with exponent (see Exercise 1.23) then
Prove Lemma 13.17.
Lemma 13.17: Let denote the discrete characteristic function of the set , i.e., (so for and for ). Then for each we have .
Prove Theorem 13.18.
Theorem 13.18: and for each , and for we have .
Given a sequence of scalars , let .
Let denote the Cesàro means, and show that
Show that if the partial sums converge, then the Cesàro means converge to the same limit, i.e.,
Set for and for . Show that the series is Cesàro summable even though the partial sums do not converge, and find the limit of the Cesàro means.
Prove the equality appearing in equation (13.18).
Prove Lemma 13.20.
has the closed form .
forms an approximate identity on .
Show that if and , then .
Use part (a) to show that the Plancherel Equality remains true if we assume that belongs to instead of the smaller space . In other words, show that if , then we have
in the sense that one side is finite if and only if the other side is finite, and in this case they are equal; otherwise both sides are infinite.
Let for . When extended 1 -periodically, is a continuous function on . Compute and show that . Use this to show that
where the series converges uniformly on . What does the series converge to for other ? Take to obtain Euler's formula:
Compare Exercise 1.55.
Prove the following facts about the Fourier algebra .
is a Banach space with respect to the norm , and is an isometric isomorphism of onto .
is closed under pointwise products, and (hence is a Banach algebra with respect to pointwise products).
, and therefore is dense in .
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is a meager subset of .
Prove Lemma 14.1.
Lemma 14.1: Given and , we have .
Finish the proof of Theorem 14.2.
Suppose that , and is differentiable at . Show that and
Conclude that the symmetric partial sums of the Fourier series for converge at the point to .
Show that if is differentiable at a point , then
Suppose that . Show that is real valued if and only if for .
Show that if is real valued, then its conjugate function is also real valued.
Prove Theorem 14.6.
Theorem 14.6: The Fourier algebra admits conjugation, and if , then the twisted partial sums converge to in -norm for each : for all and , .
Finish the proof of Theorem 14.7.
Given , show that conjugation is bounded on if and only if it is bounded on .