Two Lipschitz equivalent norms satisfy for all , for constants . These inequalities give the same convergent sequences in both norms. A subset of a metric space is closed exactly when it contains the limits of all convergent sequences from that subset. Therefore closedness is the same in the two norms.
For finite dimension, fix a basis and let . For any norm ,
The reverse triangle inequality then makes continuous in the Euclidean coordinate norm. If no positive lower bound existed on the Euclidean unit sphere, choose there with . By the Bolzano-Weierstrass theorem, a subsequence converges to on the unit sphere. Continuity would give , although , a contradiction. Thus is bounded below by a positive multiple of the Euclidean norm. Comparing any two norms through that coordinate norm proves all norms in finite dimension are Lipschitz equivalent.
On , nonnegativity, absolute homogeneity and the triangle inequality for follow from the corresponding real-number properties and integration. If a continuous is nonzero at a point, it has absolute value bounded below by a positive constant on a nontrivial one-sided or two-sided interval around that point. Its integral is then positive. Hence implies , completing the norm axioms.
For , put and . Then , but
The limit function is not in the indicated point evaluation kernel. Consequently that set is not closed in the integral norm. This is the point-evaluation kernel is not closed in the integral norm phenomenon.
Finally while . Thus no constant can bound the uniform norm by a multiple of the integral norm. Although on this unit interval, the converse comparison fails: the two norms are not Lipschitz equivalent. The finite-dimensional theorem cannot be applied to this infinite-dimensional function space.

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