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238 Polynomial Approximation of Differential Equations<br />

(10.5.2) U(±1,t) = 0, ∀t ∈]0,T],<br />

(10.5.3) U(x,0) = U0(x),<br />

∂U<br />

∂t (x,0) = Û0(x), ∀x ∈] − 1,1[,<br />

where ζ > 0 and U0 :] − 1,1[→ R, Û0 :] − 1,1[→ R are given in<strong>it</strong>ial data. Equation<br />

(10.5.1) is of hyperbolic type. The solution U represents the displacement of a vibrat-<br />

ing string of length equal 2, fixed at the endpoints. Other oscillatory phenomena are<br />

described by the wave equation. Examples are collected in baldock and bridgeman<br />

(1981).<br />

From the numerical point of view, we can apply the same techniques of section<br />

10.2 to obtain the semi-discrete spectral approximation of problem (10.5.1), (10.5.2),<br />

(10.5.3). This time, after discretization in the variable x, we get an in<strong>it</strong>ial-value second-<br />

order differential system in the variable t.<br />

In the Legendre case, stabil<strong>it</strong>y results and error estimates can be obtained from a<br />

weak formulation of the problem. The reader is addressed to lions and magenes(1972),<br />

chapter 5, theorem 2.1, for results concerning this aspect of the theory. To our knowl-<br />

edge, no analysis is currently available for the other Jacobi cases.<br />

Another approach consists in wr<strong>it</strong>ing the solution as a su<strong>it</strong>able superpos<strong>it</strong>ion of two<br />

waves travelling in oppos<strong>it</strong>e directions. Actually, one checks that the general solution of<br />

(10.5.1) is given by U(x,t) = τ(x − ζt) + υ(x + ζt), where τ and υ can be uniquely de-<br />

termined by the in<strong>it</strong>ial data (10.5.3) (d’Alembert solution). Thus, U can be decomposed<br />

into the sum of two functions, which are solutions of equations (10.3.1) and (10.3.20)<br />

respectively, w<strong>it</strong>h some prescribed in<strong>it</strong>ial guess. Namely, we have U = V + W, where<br />

V and W solve the following linear symmetric hyperbolic system:<br />

(10.5.4)<br />

⎛ ⎞<br />

V (x,t)<br />

∂<br />

⎝ ⎠ =<br />

∂t<br />

W(x,t)<br />

⎛ ⎞<br />

−ζ 0<br />

⎝ ⎠<br />

0 ζ<br />

∂<br />

⎛ ⎞<br />

V (x,t)<br />

⎝ ⎠ , x ∈] − 1,1[, t ∈]0,T].<br />

∂x<br />

W(x,t)

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