An inner product space is a vector space, say
, together with
a complex bilinear function
having the following
properties:
(i)where
![]()
(ii)![]()
whereand
are complex numbers
(iii)if
![]()
and.
Comments:
(a) The condition
is quite necessary, otherwise there would be conflict with (iii). Indeed,
if
, then
(b) With the help of (i), condition (ii) is equivalent to
| (11) |
(c) The square root of
,
, is called the norm of the vector
.
It is always understood that the norm is finite. In particular
(d) The inner product satisfies the Cauchy-Schwarz inequality
This inequality has a nice geometrical interpretation for real inner product spaces. In that case
The Cauchy-Schwarz inequality follows from the fact that for any complex
Letting
we obtain for all real
Consequently, the discriminant,
of this quadratic expression must be negative or zero, otherwise this expression would be negative for some values of
(e) The inner product implies the triangle inequality
| (12) |