156 6 Linear Algebra
y=Ax=⇒yi=
n
∑
j= 1
ai jxj, (6.3)
matrix-matrix multiplication
A=BC=⇒ai j=
n
∑
k= 1
bikck j, (6.4)
transposition
A=BT=⇒ai j=bji,
and ifA∈Cn×n, conjugation results in
A=BT=⇒ai j=bji,
where a variablez=x−ıydenotes the complex conjugate ofz=x+ıy. In a similar way we
have the following basic vector operations, namely addition and subtraction
x=y±z=⇒xi=yi±zi,
scalar-vector multiplication
x=γy=⇒xi=γyi,
vector-vector multiplication (called Hadamard multiplication)
x=yz=⇒xi=yizi,
the inner or so-called dot product
c=yTz=⇒c=
n
∑
j= 1
yjzj, (6.5)
withca constant and the outer product, which yields a matrix,
A=yzT=⇒ai j=yizj, (6.6)
Other important operations are vector and matrix norms. A class of vector norms are the
so-calledp-norms
||x||p= (|x 1 |p+|x 2 |p+···+|xn|p)
(^1) p
,
wherep≥ 1. The most important are the 1, 2 and∞norms given by
||x|| 1 =|x 1 |+|x 2 |+···+|xn|,
||x|| 2 = (|x 1 |^2 +|x 2 |^2 +···+|xn|^2 )
(^12)
= (xTx)
(^12)
,
and
||x||∞=max|xi|,
for 1 ≤i≤n. From these definitions, one can derive several important relations, of which the
so-called Cauchy-Schwartz inequality is of great importance for many algorithms. For anyx
andybeing real-valued or complex-valued quantities, the innerproduct space satisfies
|xTy|≤||x|| 2 ||y|| 2 ,
and the equality is obeyed only ifxandyare linearly dependent. An important relation which
follows from the Cauchy-Schwartz relation is the famous triangle relation, which states that
for anyxandyin a real or complex, the inner product space satisfies