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 gives
By 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 yields
The 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 , choose
Splitting the integral gives
For finite , Holder inequality bounds the last term by . Hence
For , the corresponding bound is . Thus an explicit choice proving the strict inequality is
This 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.
Work on with Lebesgue measure. Without a uniform bound, use
It has and , with for . Each function still belongs to , but its norm is unbounded. For every fixed , its level set above is eventually empty, defeating any positive uniform .
Without a uniform bound, use instead
Now and , but for any fixed the high-amplitude level set has measure . These give the two distinct failures of the nonvanishing level-set bound between three Lp norms when either control is removed.

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