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Partial Differential Equations - Modelling and ... - ResearchGate

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Optimal Higher Order Time Discretizations 79<br />

Proof. Let R ∈ D k be such that [ψ m (R)](x ∗ )=4forsomex ∗ ∈ ]0,α m (R)[.<br />

(A similar argument works if [ψ m (R)](x ∗ ) = 0.) For any ε > 0, ψ m (R +<br />

ε) =ψ m (R) +εx m+1 > 4 in a small neighborhood of x ∗ . This implies that<br />

α m (R + ε) α m (R) − ε.<br />

Now ε>0 is arbitrary small, so that lim inf α m (R n ) ≥ α m (R). The continuity<br />

of α m at R follows, since α m is upper semi-continuous by Lemma 1. ⊓⊔<br />

Lemma 3. The set of solutions of the optimization problem (20) is a convex<br />

subset of D k .<br />

Proof. Let us first prove that any local maximum of α m belongs to D k . Indeed,<br />

it is easy to see that, if R/∈ D k , the function<br />

t ∈ R ↦→ α m (R + t)<br />

is continuous <strong>and</strong> strictly monotone in the neighborhood of the origin. This<br />

shows that R cannot be a local maximum of α m .<br />

Let R 1 <strong>and</strong> R 2 be two solutions of (20):<br />

By definition of α m<br />

α m (R 1 )=α m (R 2 )=α m.k ≡<br />

sup α m (R).<br />

R∈P k−1<br />

∀x ≤ α m,k , 0 ≤ [ψ m (R 1 )] (x) ≤ 4 <strong>and</strong> 0 ≤ [ψ m (R 2 )] (x) ≤ 4.

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