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Material Type: Notes; Class: Junior Seminar; Subject: Mathematics; University: Seton Hall University; Term: Spring 2004;
Typology: Study notes
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In many problems, we must associate a number with a function extracted from a given class of functions. For example:
∫ (^) b a (1 + [f^
′(x)] (^2) ) 12 dx.
∂f ∂x )
(^2) + ( ∂f ∂y )
(^2) dxdy
Such an association is known as a functional.
Definition 0.1 Let X be a linear vector space and to each x let there be asso- ciated a unique real (or complex) number designated by L(x). If for x, y ∈ X and for all real (or complex) α, β we have
L(αx + βy) = αL(x) + βL(y),
then L is called a linear functional over X.
Example 0.1 X = C[a, b], i.e. the elements of X are continous functions f (x). We define L as
L(f ) =
∫ (^) b
a
f (x)dx
.
To show this is a linear functional we must verify it is a functional and it is linear.
To see that it is a functional is easy: if f ∈ C[a, b] then f is continous and therefore integrable over the interval [a, b]. Therefore the integral L(f ) = ∫ (^) b a f^ (x)dx^ exists, so that^ L^ associates to every element^ f^ a number.
To show that it is linear we need to verify that for two functions f and g in C[a.b] we have L(αx + βy) = αL(x) + βL(y):
L(αf + βg) =
∫ (^) b
a
αf (x) + βg(x)dx =
∫ (^) b
a
αf (x)dx +
∫ (^) b
a
βg(x)dx =
= α
∫ (^) b
a
f (x)dx + β
∫ (^) b
a
g(x)dx =
= αL(f ) + βL(g)
which finishes the proof.
Example 0.2 Let X = C[a, b] be as before but this time define define L as:
L(f ) =
∫ (^) b
a
x^2 f (x)dx
.
It is easy to see - similar to above - that L is again a functional as well as linear.
Example 0.3 X = C^2 [a, b].
L(f ) = f ′′(a) + f ′(b) − f ( a + b 2
Interpolation theory is concerned with reconstructing functions on the basis of certain functional information assumed known. In many cases, the functionals are linear. Functionals can be added to one another and scalar products can be formed. If, for instance, f ∈ C^1 [a, b] and
L 1 (f ) =
∫ (^) b
a
f (x)dx and L 2 (f ) = f ′( a + b 2
we can identify the functional
L(f ) = α
∫ (^) b
a
f (x)dx + βf ′(
a + b 2
with the expression αL 1 + βL 2. L is itself a linear functional.