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182 Polynomial Approximation of Differential Equations<br />

where σ ∈ R , and U :<br />

explic<strong>it</strong>ly, i.e.<br />

(9.1.2) U(x) = σ +<br />

Ī → R is the unknown. Of course, we know the solution<br />

x<br />

−1<br />

f(s) ds, ∀x ∈ Ī.<br />

We are concerned w<strong>it</strong>h the convergence analysis of polynomial approximations of U.<br />

We give an overview of different techniques in the coming sections.<br />

A generalization of (9.1.1) is<br />

(9.1.3)<br />

⎧<br />

⎨U<br />

′ + AU = f in ] − 1,1],<br />

⎩<br />

U(−1) = σ,<br />

where A : Ī → R is a given continuous function.<br />

Other elementary problems can be studied. We are mainly interested in boundary-<br />

value problems. Two typical examples of second-order equations are<br />

(9.1.4)<br />

(9.1.5)<br />

⎧<br />

⎨ −U ′′ = f in I,<br />

⎩<br />

U(−1) = σ1, U(1) = σ2,<br />

⎧<br />

⎨ −U ′′ + µU = f in I,<br />

⎩<br />

U ′ (−1) = σ1, U ′ (1) = σ2,<br />

where σ1, σ2 ∈ R and µ > 0. In particular, (9.1.4) and (9.1.5) are known as Dirichlet<br />

problem and Neumann problem respectively.<br />

W<strong>it</strong>hin the framework of fourth-order problems, we consider for instance the equation<br />

(9.1.6)<br />

w<strong>it</strong>h σi ∈ R, 1 ≤ i ≤ 4.<br />

⎧<br />

U<br />

⎪⎨<br />

⎪⎩<br />

IV = f in I,<br />

U(−1) = σ1, U(1) = σ2,<br />

U ′ (−1) = σ3, U ′ (1) = σ4,

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