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Transcript
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
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You can reuse this document or portions thereof only if you do so under terms that are
compatible with the CC-BY-SA license.
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