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7<br />

DERIVATIVE MATRICES<br />

The derivative operator is a linear transformation from the space of polynomials into<br />

<strong>it</strong>self. In add<strong>it</strong>ion, the exact derivative of a given polynomial can be determined in<br />

a fin<strong>it</strong>e number of operations. Depending on the basis in which the polynomial is<br />

expressed, we will construct the appropriate matrices that allow the computation of <strong>it</strong>s<br />

derivative.<br />

7.1 Derivative matrices in the frequency space<br />

Let p be a polynomial in Pn, where n ≥ 1 is given. From (2.3.1), and u ′ 0 ≡ 0, we can<br />

wr<strong>it</strong>e<br />

(7.1.1) p ′ =<br />

n<br />

k=1<br />

cku ′ k =<br />

n<br />

k=0<br />

c (1)<br />

k uk.<br />

In (7.1.1), the constants c (1)<br />

k , 0 ≤ k ≤ n, are the Fourier coefficients of p′ . We would like<br />

to establish a relation between these new coefficients and the ck’s. Let us begin w<strong>it</strong>h the<br />

Jacobi case (uk = P (α,β)<br />

k , k ∈ N). For simplic<strong>it</strong>y, we just discuss the ultraspherical case<br />

(ν := α = β). Thus, we start by considering the following relation (see szegö(1939),<br />

p.84):<br />

(7.1.2) un = d<br />

dx<br />

<br />

(n + 2ν + 1) un+1<br />

(n + ν + 1)(2n + 2ν + 1) −<br />

<br />

(n + ν) un−1<br />

, n ≥ 1,<br />

(n + 2ν)(2n + 2ν + 1)

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