Two norms on the same vector space are equivalent norms, or Lipschitz equivalent, if there are constants such that for every . The constants are uniform over the whole space.
Let be any norm on . The triangle inequality and the Cauchy-Schwarz inequality giveThe reverse triangle inequality then gives , so is Euclidean-continuous; this continuity was derived, rather than assumed. On the compact Euclidean unit sphere, attains a strictly positive minimum , because it vanishes only at zero. Homogeneity yieldsFinally a linear map satisfies , again by Cauchy-Schwarz inequality. The equivalence just proved transfers this bound to any norms on the source and target. Hence every such linear map is continuous.
If is a bounded linear operator, linearity gives . It is therefore Lipschitz and continuous everywhere.
Conversely, suppose is continuous at zero. There is such that implies . For , apply this to and use homogeneity:The value at is zero by linearity. ConsequentlyThus boundedness and continuity are equivalent for linear maps between normed spaces. No finite dimensionality or completeness is needed for this equivalence.
First , since . Any finite linear dependence among and the has the form for a finite index set . At an index outside , its coordinate equals , so . Each remaining coordinate then gives . Therefore the set is linearly independent, and the prescribed values define a unique linear map on its algebraic span.
Take the tailsThey belong to , satisfy , and haveThus while does not approach . The map is not continuous, and part (b) also shows it is unbounded. This is a discontinuous functional detected by vanishing sequence tails, illustrating why the finite-dimensional conclusion in part (a) cannot be extended to arbitrary normed spaces.
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