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 give
The 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 yields
Finally 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. Consequently
Thus 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 tails
They belong to , satisfy , and have
Thus 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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