Expressions for the norm

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 { A x : x = 1 } , for example, means the set of all real numbers of the form A x , considered for all x ’s for which x = 1 .

Since A x K x is trivially true with any K if x = 0 , the definition of supremum implies that p = A ; we shall prove that, in fact, p = q = r = s = A . Since the supremum in the expression for q is extended over a subset of the corresponding set for p (that is, if x = 1 , then A x / x = A x ), we see that q p ; a similar argument shows that s r .

For any x 0 we consider y = x x (so that y = 1 ); we have A x / x = A y . In other words, every number of the set whose supremum is p occurs also in the corresponding set for q ; it follows that p q , and consequently that p = q = A .

Similarly if x 0 and y 0 , 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, r s , so that r = s .

To consolidate our position, we note that so far we have proved that p = q = A  and  r = s . Since | ( A x , y ) | x y A x y x y = A x x , it follows that r p ; we shall complete the proof by showing that p r . For this purpose we consider any vector x for which A x 0 (so that x 0 ); for such an x we write y = A x and we have A x / x = | ( A x , y ) | / x y . In other words, we proved that every number that occurs in the set defining p , and is different from zero, occurs also in the set of which r is the supremum; this clearly implies the desired result.

The numerical function of a transformation A given by A 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 A = r , 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 A A ; replacing A by A and A by A = A , we obtain the reverse inequality.

EXERCISES

Exercise 1. If B is invertible, then A B A / B 1 for every A .

Exercise 2. Is it true for every linear transformation A that A A = A A ?

Exercise 3. 

  1. If A is Hermitian and if α 0 , then a necessary and sufficient condition that A α is that α A α .
  2. If A is Hermitian, if α A β , and if p is a polynomial such that p ( t ) 0 whenever α t β , then p ( A ) 0 .
  3. If A is Hermitian, if α A β , and if p is a polynomial such that p ( t ) 0 whenever α t β , then p ( A ) is invertible.