First let , and take a Cauchy sequence in the Lp space, with functions identified almost everywhere. Choose a subsequence with and put . The triangle inequality givesBy the monotone convergence theorem, belongs to , and is finite almost everywhere. The series therefore converges almost everywhere to an function . Applying the same argument to each absolute tail yieldsThe original sequence is Cauchy, so the triangle inequality extends convergence from this subsequence to the whole sequence.
For , choose the same subsequence in essential supremum norm. Outside one null set, all its difference bounds hold simultaneously:The series then converges uniformly on that full-measure set to a bounded measurable , and . Again the full sequence converges. Thus every , , is a Banach space, proving completeness of Lp spaces.
If either upper norm bound is nonpositive, there are no admissible functions with , and the assertion is vacuous. For positive , chooseSplitting the integral givesFor finite , Holder inequality bounds the last term by . HenceFor , the corresponding bound is . Thus an explicit choice proving the strict inequality isThis is a nonvanishing level-set bound between three Lp norms: the lower- bound prevents diffuse low-amplitude mass, and the higher- bound prevents arbitrarily concentrated spikes.
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