Prove that a closed linear subspace of a reflexive Banach space is reflexive.
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Spam yourself with math PhD qualifying-exam questions.
For a measure space with , show that if in measure and for some then in .
Suppose , with denoting the space of distributions on .
(a) Show that there exists such that .
(b) Show that if as well, then is a distribution given by a constant function.
Suppose that is continuous and for any in the sequence tends to zero. Show that .
For define to be the subspace of consisting of with
and let , where denotes the Fourier transform of .
(a) Prove that there is no continuous map
so that for (compactly supported smooth functions).
(b) On the other hand, for , show that there is a continuous map
so that for .
Hint: First prove that for , there is so that
for any .
(a) Show that for each there exists so that if and the support of is contained inside the interval then
(b) Assume that an inequality of the form holds for all in the Schwartz class . Find the only possible values of and โ note that they depend on the dimension .
(c) Use the Plancherel identity to show that if for then , and that if for , then , with a constant that depends only on the dimension . Combine these estimates to prove an inequality of the form with and you have found in part (b), and a constant that depends only on the dimension .
Two short problems:
(a) Suppose is a measure space and is a non-negative measurable function. Show that
(b) Suppose that . Show that the Fourier transform of , given by , , is continuous and .
Suppose that is a Banach space.
(a) Show that the natural inclusion , given by , , , is an isometry.
(b) Show that if is a Banach space and (under the natural inclusion) then .
(a) Suppose is a Banach space, are compact operators, . Suppose converges to in the operator norm topology. Show that is compact.
(b) Give (with proof) an example of a sequence of compact operators on a Banach space converging to a non-compact operator in the strong operator topology.
Let be the Lebesgue measure on , . For , define the maximal function
(a) Show that there is (depending only on ) so that if then
(b) For any non-zero , show that is not in .