- categories: Real Analysis, Theorem, Topology
Equivalence of Norms in In a finite-dimensional vector space (where is either or ), any two norms are equivalent. This means that if and are any two norms on , then there exist positive constants and such that for all :
Implications
The equivalence of norms implies that:
- Topology: All norms on induce the same topology. Therefore, convergence, continuity, and open or closed sets in are independent of the specific norm chosen.
- Continuity of Linear Maps: Any linear map from to another normed space is continuous regardless of the norm on , since the equivalence of norms provides boundedness.
Example: Common Norms on
- Euclidean Norm: .
- 1-Norm: .
- Infinity Norm: .
For example, in , we have the relationships:
and
These inequalities confirm that the norms , , and are equivalent in .
Proof Sketch of Norm Equivalence in Finite Dimensions
For any norm on , consider the unit sphere with respect to one norm, say . Since this sphere is compact in finite dimensions, achieves a maximum and minimum value on this set. These values give the constants and that bound in terms of , establishing equivalence.