equivalent norms
Let ∥x∥ and ∥x∥′ be two norms on
a vector space V. These norms are equivalent norms if
there exists a number C>1 such that
1C∥x∥≤∥x∥′≤C∥x∥ | (1) |
for all x∈V.
Since equation (1) is equivalent to
1C∥x∥′≤∥x∥≤C∥x∥′ | (2) |
it follows that the definition is well defined. In other words, ∥⋅∥ and ∥⋅∥′ are equivalent if and only if ∥⋅∥′ and ∥⋅∥ are equivalent. An alternative condition is that there exist positive real numbers c,d such that
c∥x∥≤∥x∥′≤d∥x∥. |
However, this condition is equivalent to the above by setting C=max{1/c,d}.
Some key results are as follows:
- 1.
-
2.
Suppose norms ∥⋅∥ and ∥⋅∥′ are equivalent norms as in equation (1), and let Br(x) and B′r(x) be the open balls with respect to ∥⋅∥ and ∥⋅∥′, respectively. By this result (http://planetmath.org/ScalingOfTheOpenBallInANormedVectorSpace) it follows that
CBε(x)⊆B′ε(x)⊆1CBε(x). It follows that the identity map
from (V,∥⋅∥) to (V,∥⋅∥′) is a homeomorphism. Or, alternatively, equivalent norms on V induce the same topology on V.
-
3.
The converse
of the last paragraph is also true, i.e. if two norms induce the same topology on V then they are equivalent. This follows from the fact that every continuous
linear function
between two normed vector spaces
is bounded (http://planetmath.org/BoundedOperator) (see this entry (http://planetmath.org/BoundedOperator)).
-
4.
Suppose ⟨⋅,⋅⟩ and ⟨⋅,⋅⟩′ are inner product
. Suppose further that the induced norms ∥⋅∥ and ∥⋅∥′ are equivalent as in equation 1. Then, by the polarization identity
, the inner products satisfy
1C2⟨v,w⟩′≤⟨v,w⟩≤C2⟨v,w⟩. -
5.
On a finite dimensional vector space all norms are equivalent (see this page (http://planetmath.org/ProofThatAllNormsOnFiniteVectorSpaceAreEquivalent)). This is easy to understand as the unit sphere
is compact if and only if a space is finite dimensional. On infinite dimensional spaces this result does not hold (see this page (http://planetmath.org/AllNormsAreNotEquivalent)).
It follows that on a finite dimensional vector space, one can check continuity and convergence with respect with any norm. If a sequence converges in one norm, it converges in all norms. In matrix analysis this is particularly useful as one can choose the norm that is most easily calculated.
-
6.
The concept of equivalent norms also generalize to possibly non-symmetric norms. In this setting, all norms are also equivalent on a finite dimensional vector space. In particular, ∥⋅∥ and ∥-⋅∥ are equivalent, and there exists C>0 such that
∥-v∥≤C∥v∥,v∈V.
Title | equivalent norms |
---|---|
Canonical name | EquivalentNorms |
Date of creation | 2013-03-22 13:39:28 |
Last modified on | 2013-03-22 13:39:28 |
Owner | matte (1858) |
Last modified by | matte (1858) |
Numerical id | 10 |
Author | matte (1858) |
Entry type | Definition |
Classification | msc 46B99 |