The -norm (also written "
-norm")
is a vector norm defined
for a complex vector
|
(1)
|
by
|
(2)
|
where on the right denotes the complex
modulus. The
-norm
is the vector norm that is commonly encountered in
vector algebra and vector operations (such as the dot
product), where it is commonly denoted
. However, if desired, a more explicit (but more cumbersome)
notation
can be used to emphasize the distinction
between the vector norm
and complex modulus
together with the fact that the
-norm is just one of several possible
types of norms.
For real vectors, the absolute value sign indicating that a complex modulus is being taken on the right of equation (2)
may be dropped. So, for example, the -norm of the vector
is given by
|
(3)
|
For real vectors, the set is a disk of radius
1 in two dimensions and a unit ball in three dimensions.
Its boundary is a unit circle or unit
sphere, respectively.
The -norm is also known as the Euclidean
norm. However, this terminology is not recommended since it may cause confusion with
the Frobenius norm (a matrix
norm), which is also sometimes called the Euclidean norm. The
-norm of a vector is implemented in the Wolfram
Language as Norm[m,
2], or more simply as Norm[m].
The -norm of a square
integrable measurable function
on a measure space
is
|
(4)
|
where is
the Hermitian inner product, written using
angle brackets. Functions
equal almost everywhere are identified as one
equivalence class in the L2-space,
so a function of norm zero
represents the zero class (Hunter 2011, p. 79).
With counting measure on a finite set, this formula gives the finite-vector -norm. With counting measure
on the positive integers, it gives the
-norm of a sequence whose squared
complex moduli have a finite sum. Thus, the uppercase
and lowercase
conventions describe related function
and sequence settings, rather than different notions
(Hunter 2011, p. 79).