Use Lebesgue measure restricted to the Lebesgue measurable set . For , start with the measurable real-valued functions on satisfying . Define an equivalence relation by when almost everywhere, and let consist of their equivalence classes. Addition and scalar multiplication are defined using representatives. The Lp norm isFor , use measurable functions bounded almost everywhere, apply the same identification, and define the L-infinity norm byThese expressions are independent of the representative. For finite , zero norm is equivalent to almost everywhere: each set must have measure zero, and their union is . The same implication follows from the essential supremum for . Absolute homogeneity is immediate; Minkowski inequality proves the triangle inequality and closure under addition. Thus these are normed vector spaces. Using complex-valued representatives gives their complex versions by the same construction.
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