The Relationship between L1 Space and L2 Space
📂Lebesgue SpacesThe Relationship between L1 Space and L2 Space
Definition
L1 Space
A function f is said to be (absolutely) integrable on the interval [a, b] if it satisfies the following equation.
∫ab∣f(x)∣dx<∞
The set of functions that are integrable on the interval [a,b] is denoted as L1(a,b).
L1(a,b)={f:∫−ab∣f(x)∣dx<∞}
L2 Space
A function satisfying the following equation is said to be square-integrable.
∫ab∣f(x)∣2dx<∞
The set of square-integrable functions on the interval [a,b] is denoted as L2(a,b).
L2(a,b):={f:∫ab∣f(x)∣2dx<∞}
Explanation
Unless specified otherwise, consider the interval as the entire real numbers R.
L1L2=L1(R)={f:∫−∞∞∣f(x)∣dx<∞}=L2(R)={f:∫−∞∞∣f(x)∣2dx<∞}
At first glance, it may seem like there is an inclusion relationship between the spaces L1 and L2, but that is not the case at all.
L1⊈L2,L2⊈L1
For example, consider the following function.
f(x)g(x)={x−320if 0<x<1otherwise={x−320if 1<xotherwise
Upon calculation, it is observed that f is a L1 function but not a L2 function.
∫∣f(x)∣dx∫∣f(x)∣2dx=∫01x−32dx=[3x31]01<∞=∫01x−34dx=[−3x−31]01=∞
Conversely, g is a L2 function but not a L1 function.
∫∣g(x)∣dx∫∣g(x)∣2dx=∫1∞x−32dx=[3x31]1∞=∞=∫1∞x−34dx=[−3x−31]1∞<∞
However, if the following condition is satisfied, a L1 function can also be a L2 function, or a L2 function can also be a L1 function. Moreover, if the integral interval is bounded, L2⊂L1 holds.
Theorem
(a) Let f∈L1 and assume f is bounded. Then, f∈L2 is true.
(b) If f∈L2 and f is 0 outside a finite interval, then f∈L1 is true.
Proof
(a)
Assuming f is bounded, a positive number M exists.
∣f∣≤M
Therefore, ∣f∣2≤M∣f∣ is true. Thus, the following is satisfied.
∫∣f∣2dx≤∫M∣f∣dx=M∫∣f∣dx<∞
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(b)
By assumption, the following equation is true.
∫∣f∣dx=∫ab∣f∣dx
Then, by the Cauchy-Schwarz inequality ∣⟨x, y⟩∣≤∥x∥∥y∥, the following is satisfied.
∫ab∣f∣dx==≤=< ∫ab1⋅∣f∣dx ⟨1,∣f∣⟩∥1∥2∥∣f∣∥2 (b−a)21(∫ab∣f∣2dx)21∞
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