To facilitate working with the norm of a transformation, we consider the following four expressions: \begin{align} p & =\sup \big\{\|A x\| /\|x\|: x \neq 0\big\}, \\ q & =\sup \big\{\|A x\|:\|x\|=1\big\}, \\ r & =\sup \big\{|(A x, y)| /\|x\| \cdot\|y\|: x \neq 0, y \neq 0\big\}, \\ s & =\sup \big\{|(A x, y)|:\|x\|=\|y\|=1\big\}. \end{align}In accordance with our definition of the brace notation, the expression , for example, means the set of all real numbers of the form , considered for all ’s for which .
Since is trivially true with any if , the definition of supremum implies that ; we shall prove that, in fact, . Since the supremum in the expression for is extended over a subset of the corresponding set for (that is, if , then ), we see that ; a similar argument shows that .
For any we consider (so that ); we have . In other words, every number of the set whose supremum is occurs also in the corresponding set for ; it follows that , and consequently that .
Similarly if and , we consider x^{\prime} = x /\|x\| and y^{\prime} = y /\|y\| ; we have |(A x, y)| /\|x\|\cdot\|y\|=|(A x^{\prime}, y^{\prime})|, and hence, by the argument just used, , so that .
To consolidate our position, we note that so far we have proved that Since it follows that ; we shall complete the proof by showing that . For this purpose we consider any vector for which (so that ); for such an we write and we have In other words, we proved that every number that occurs in the set defining , and is different from zero, occurs also in the set of which is the supremum; this clearly implies the desired result.
The numerical function of a transformation given by satisfies the following four conditions: \begin{align} \|A+B\| & \leq\|A\|+\|B\|, \tag{1}\\ \|A B\| & \leq\|A\| \cdot\|B\|, \tag{2}\\ \|\alpha A\| & =|\alpha| \cdot\|A\| , \tag{3}\\ \|A^{*}\| & =\|A\|. \tag{4} \end{align}The proof of the first three of these is immediate from the definition of the norm of a transformation; for the proof of (4) we use the equation , as follows. Since \begin{align} |(A x, y)| &= |(x, A^{*} y)|\\ &\leq\ |x\| \cdot\|A^{*} y\| \\ &\leq \|A^{*}\| \cdot\|x\| \cdot\|y\|, \end{align}we see that ; replacing by and by , we obtain the reverse inequality.
EXERCISES
Exercise 1. If is invertible, then for every .
Exercise 2. Is it true for every linear transformation that ?
Exercise 3.
- If is Hermitian and if , then a necessary and sufficient condition that is that .
- If is Hermitian, if , and if is a polynomial such that whenever , then .
- If is Hermitian, if , and if is a polynomial such that whenever , then is invertible.