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Lp-space∗ Mathprof† 2013-03-21 13:32:14 Definition Let (X, B, µ) be a measure space. Let 0 < p < ∞. The Lp -norm of a function f : X → C is defined as Z ||f ||p := p p1 |f | dµ (1) X when the integral exists. The set of functions with finite Lp -norm forms a vector space V with the usual pointwise addition and scalar multiplication of functions. In particular, the set of functions with zero Lp -norm form a linear subspace of V , which for this article will be called K. We are then interested in the quotient space V /K, which consists of complex functions on X with finite Lp -norm, identified up to equivalence almost everywhere. This quotient space is the complex Lp -space on X. Theorem If 1 ≤ p < ∞, the vector space V /K is complete with respect to the Lp norm. The space L∞ . The space L∞ is somewhat special, and may be defined without explicit reference to an integral. First, the L∞ -norm of f is defined to be the essential supremum of |f |: ||f ||∞ := ess sup |f | = inf {a ∈ R : µ({x : |f (x)| > a}) = 0} (2) However, if µ is the trivial measure, then essential supremum of every measurable function is defined to be 0. The definitions of V , K, and L∞ then proceed as above, and again we have that L∞ is complete. Functions in L∞ are also called essentially bounded. Example Let X = [0, 1] and f (x) = √1 . x ∗ hLpspacei Then f ∈ L1 (X) but f ∈ / L2 (X). created: h2013-03-21i by: hMathprofi version: h32047i Privacy setting: h1i hDefinitioni h28B15i † This text is available under the Creative Commons Attribution/Share-Alike License 3.0. You can reuse this document or portions thereof only if you do so under terms that are compatible with the CC-BY-SA license. 1