Elementary Properties and Examples
[13/0%]Prove Proposition 1.1: Let and be Hilbert spaces and a linear transformation. The following statements are equivalent.
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is continuous.
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is continuous at .
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is continuous at some point.
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There is a constant such that for all in .
Prove Proposition 1.2: (a) If and , then , and .
(b) If and , then and .
(c) If and , then and .
Suppose is an orthonormal basis for and for each there is a vector in such that . Show that has a unique extension to a bounded operator on .
Proposition 1.2 says that is a metric on . Show that is complete relative to this metric.
Show that a multiplication operator satisfies if and only if is a characteristic function.
Theorem 1.5 (context for ): Let be a -finite measure space and put . If , define by . Then and .
Let be a -finite measure space and let be two kernels satisfying the hypothesis of (1.6):
Theorem 1.6 (context): Let be a measure space and suppose is an -measurable function for which there are constants and such that
If is defined by
then is a bounded linear operator and .
Define
Show that also satisfies the hypothesis of (1.6).
If are the integral operators with kernels , show that . What does this remind you of? Is more going on than an analogy?
If is a measure space and , show that defines a bounded integral operator.
Let be the usual basis for and let be a sequence of scalars. Show that there is a bounded operator on such that for all if and only if is uniformly bounded, in which case . This type of operator is called a diagonal operator or is said to be diagonalizable.
Let be an infinite matrix such that for all and such that there are scalars and with
for all . Show that there is an operator on with and .
Show that for defines a bounded operator on with . (See also Choi [1983] and Redheffer and Volkmann [1983].)
If , put and show that , where .
Let be a collection of Hilbert spaces and let . Suppose for all . Show that there is a bounded operator on such that for all if and only if . In this case, . The operator is called the direct sum of the operators and is denoted by .
Call a sequence of vectors in a Hilbert space a Bessel sequence if for every in . Show that a sequence of vectors in is a Bessel sequence if and only if the infinite matrix defines a bounded operator on . (Also see Shapiro and Shields [1961], p.524.)