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Partial Differential Equations - Modelling and ... - ResearchGate

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Elliptic Monge–Ampère Equation in Dimension Two 49<br />

Suppose that we look for a convex solution of (E-MA-D). We have then<br />

λ 1 <strong>and</strong> λ 2 positive. Comparing (12) (geometric mean) <strong>and</strong> (13) (arithmetic<br />

mean) suggests to define ψ 0 as the solution of<br />

△ψ 0 =2 √ f in Ω, ψ 0 = g on Γ. (14)<br />

If we look for a concave solution we suggest to define ψ 0 as the solution of<br />

−△ψ 0 =2 √ f in Ω, ψ 0 = g on Γ. (15)<br />

If {f,g} ∈L 1 (Ω) × H 3/2 (Γ ), then { √ f,g}∈L 2 (Ω) × H 3/2 (Γ ), implying that<br />

each of the problems (14) <strong>and</strong> (15) has a unique solution in V g (assuming of<br />

course that Ω is convex <strong>and</strong>/or that Γ is sufficiently smooth). Concerning p 0<br />

an obvious choice is provided by<br />

p 0 = D 2 ψ 0 , (16)<br />

another possibility being (√ ) f 0<br />

p 0 =<br />

0 √ . (17)<br />

f<br />

The symmetric tensor defined by (17) belongs clearly to Q f .<br />

4 On the Solution of the Nonlinear Sub-Problems (10)<br />

Concerning the solution of the sub-problems of type (10), we interpret (10)<br />

as the Euler–Lagrange equation of the following minimization problem:<br />

{<br />

p n+1 ∈ Q f ,<br />

J n (p n+1 (18)<br />

) ≤ J n (q), ∀q ∈ Q f ,<br />

with<br />

J n (q) = 1 ∫ ∫<br />

2 (1 + τ) |q| 2 dx − (p n + τD 2 ψ n ) :qdx. (19)<br />

Ω<br />

Ω<br />

It follows from (19) that the problem (18) can be solved point-wise on Ω<br />

(in practice, at the grid points of a finite element or finite difference mesh).<br />

To be more precise, we have to solve, a.e. on Ω, a minimization problem of<br />

the following type:<br />

⎧ [<br />

⎨ min 1<br />

z 2 (z2 1 + z2 2 +2z 2 ]<br />

3) − b 1 (x)z 1 − b 2 (x)z 2 − 2b 3 (x)z 3<br />

( )<br />

⎩ with z = {z i } 3 i=1<br />

∈ { z | z ∈ R 3 , z 1 z 2 − z3 2 = f(x) } (20)<br />

.<br />

Actually, if one looks for convex (resp., concave) solutions of (E-MA-D),<br />

we should prescribe the following additional constraints: z 1 ≥ 0,z 2 ≥ 0<br />

(resp., z 1 ≤ 0,z 2 ≤ 0). For the solution of the problem (20) (a constrained

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