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86 Polynomial Approximation of Differential Equations<br />

(5.5.3) [Fu](t) := 1<br />

<br />

√ u(x) e<br />

2π R<br />

−<strong>it</strong>x dx ∈ L 2 (R;C),<br />

where i is the imaginary un<strong>it</strong>y and the equal<strong>it</strong>y holds in R almost everywhere. Since<br />

u ∈ L 2 (R;C) does not in general imply that u is integrable in R, a l<strong>it</strong>tle care is necessary<br />

when manipulating expression (5.5.3). W<strong>it</strong>h some technical reasoning, one verifies that<br />

the setting is correct after appropriate interpretation (see for instance rudin(1966)).<br />

The function Fu is called Fourier transform of u. The operator F su<strong>it</strong>ably generalizes<br />

the complex discrete Fourier transform (4.3.3).<br />

The following relation is well-known:<br />

(5.5.4) Fu L 2 (R;C) = u L 2 (R;C), ∀u ∈ L 2 (R;C).<br />

In other words, F is an isometry.<br />

Moreover, the inverse operator F −1 : L 2 (R;C) → L 2 (R;C), adm<strong>it</strong>s the representation<br />

(5.5.5) [F −1 u](t) = 1<br />

√ 2π<br />

<br />

u(x) e<br />

R<br />

<strong>it</strong>x dx, a.e. ∈ R, ∀u ∈ L 2 (R;C).<br />

Many other properties characterize the transformation F (see rudin(1966)). We just<br />

mention some of those useful in the following sections.<br />

If both the real and the imaginary part of u ∈ L 2 (R;C) have a weak derivative (see<br />

previous section) and u ′ ∈ L 2 (R;C), then the following relation can be established for<br />

almost every t ∈ R:<br />

(5.5.6) [Fu ′ ](t) = −<br />

i t<br />

√ 2π [Fu] (t).<br />

Therefore, setting v(t) := t[Fu](t), t ∈ R, we have<br />

(5.5.7) u ′ ∈ L 2 (R;C) ⇐⇒ v ∈ L 2 (R;C).<br />

Since t ∈ R diverges at infin<strong>it</strong>y at the same rate as ρ(t) := (1 + t 2 ) 1/2 , t ∈ R, (5.5.7)<br />

can be rewr<strong>it</strong>ten as<br />

(5.5.8) u ′ ∈ L 2 (R;C) ⇐⇒ ρFu ∈ L 2 (R;C).

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