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A mixed formulation of the quasi-reversibility method J er emi - - PowerPoint PPT Presentation

A mixed formulation of the quasi-reversibility method J er emi Dard e, Antti Hannukainen, Nuutti Hyv onen Aalto University - Helsinki Tuesday 3rd April 2012 J er emi Dard e (Aalto University) PICOF12 Tuesday 3rd April


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A mixed formulation of the quasi-reversibility method

J´ er´ emi Dard´ e, Antti Hannukainen, Nuutti Hyv¨

  • nen

Aalto University - Helsinki

Tuesday 3rd April 2012

J´ er´ emi Dard´ e (Aalto University) PICOF’12 Tuesday 3rd April 2012 1 / 27

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Outline

1

Introduction Elliptic Cauchy problem Quasi-reversibility method - Standard formulation

2

Mixed formulation of quasi-reversibility First formulation Second formulation

3

Numerical results Data completion problem Inverse obstacle problem

J´ er´ emi Dard´ e (Aalto University) PICOF’12 Tuesday 3rd April 2012 2 / 27

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Outline

1

Introduction Elliptic Cauchy problem Quasi-reversibility method - Standard formulation

2

Mixed formulation of quasi-reversibility First formulation Second formulation

3

Numerical results Data completion problem Inverse obstacle problem

J´ er´ emi Dard´ e (Aalto University) PICOF’12 Tuesday 3rd April 2012 3 / 27

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Elliptic Cauchy problem

  • Ω bounded open set of Rd, d ≥ 2, Γ ∪ Γc = ∂Ω, |Γ| = 0, |Γc| = 0.

Cauchy problem: for (f , gD, gN) ∈ L2(Ω) × H1/2(Γ) × H−1/2(Γ), find u ∈ H1(Ω) s.t.    ∆u = f in Ω u = gD

  • n Γ

∇u.ν = gN

  • n Γ

[Hadamard] Severely ill-posed problem: Cauchy problem has at most one solution u ∈ H1(Ω, ∆) :=

  • v ∈ H1(Ω), ∆v ∈ L2(Ω)
  • , which does not depend

continuously on the data (f , gD, gN) regularization method.

J´ er´ emi Dard´ e (Aalto University) PICOF’12 Tuesday 3rd April 2012 4 / 27

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Elliptic Cauchy problem

  • Ω bounded open set of Rd, d ≥ 2, Γ ∪ Γc = ∂Ω, |Γ| = 0, |Γc| = 0.

Cauchy problem: for (f , gD, gN) ∈ L2(Ω) × H1/2(Γ) × H−1/2(Γ), find u ∈ H1(Ω) s.t.    ∆u = f in Ω u = gD

  • n Γ

∇u.ν = gN

  • n Γ

[Hadamard] Severely ill-posed problem: Cauchy problem has at most one solution u ∈ H1(Ω, ∆) :=

  • v ∈ H1(Ω), ∆v ∈ L2(Ω)
  • , which does not depend

continuously on the data (f , gD, gN) regularization method.

J´ er´ emi Dard´ e (Aalto University) PICOF’12 Tuesday 3rd April 2012 4 / 27

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Elliptic Cauchy problem

  • Ω bounded open set of Rd, d ≥ 2, Γ ∪ Γc = ∂Ω, |Γ| = 0, |Γc| = 0.

Cauchy problem: for (f , gD, gN) ∈ L2(Ω) × H1/2(Γ) × H−1/2(Γ), find u ∈ H1(Ω) s.t.    ∇.A∇u = f in Ω u = gD

  • n Γ

A∇u.ν = gN

  • n Γ

[Hadamard] Severely ill-posed problem: Cauchy problem has at most one solution u ∈ H1(Ω, ∆) :=

  • v ∈ H1(Ω), ∆v ∈ L2(Ω)
  • , which does not depend

continuously on the data (f , gD, gN) regularization method.

J´ er´ emi Dard´ e (Aalto University) PICOF’12 Tuesday 3rd April 2012 4 / 27

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Elliptic Cauchy problem

Cauchy problem arises in many fields:

  • plasma physics
  • corrosion non-destructive evaluation
  • electrocardiography
  • ...
  • inverse obstacle problems

Several methods of regularization:

  • Optimization methods (e.g. minimization of Kohn-Vogelius cost function)
  • Conformal mappings 2d case.
  • Integral equations
  • ...

J´ er´ emi Dard´ e (Aalto University) PICOF’12 Tuesday 3rd April 2012 5 / 27

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Quasi-reversibility method - Standard formulation

  • Introduced by Robert Latt`

es and Jacques-Louis Lions in The method of quasi-reversibility: applications to partial differential equations - 1969.

  • Method based on the resolution of the

QR-problem: for ε > 0, find uε ∈ H2(Ω) s.t. uε = gD and ∇uε.ν = gN on Γ, and ∀v ∈ H2(Ω), v = ∇v.ν = 0 on Γ, (∆uε, ∆v)L2(Ω) + ε(uε, v)H2(Ω) = (f , ∆v)L2(Ω).

Theorem

The QR-problem admits a unique solution uε. Furthermore, if the Cauchy problem admits a (unique) solution u ∈ H2(Ω), uε

ε→0

− − − →

H2

u, ∆uε − ∆uL2(Ω) ≤ √εuH2(Ω), ε → uε − uH2(Ω) is an increasing function.

J´ er´ emi Dard´ e (Aalto University) PICOF’12 Tuesday 3rd April 2012 6 / 27

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SLIDE 9

Quasi-reversibility method - Standard formulation

  • Introduced by Robert Latt`

es and Jacques-Louis Lions in The method of quasi-reversibility: applications to partial differential equations - 1969.

  • Method based on the resolution of the

QR-problem: for ε > 0, find uε ∈ H2(Ω) s.t. uε = gD and ∇uε.ν = gN on Γ, and ∀v ∈ H2(Ω), v = ∇v.ν = 0 on Γ, (∆uε, ∆v)L2(Ω) + ε(uε, v)H2(Ω) = (f , ∆v)L2(Ω).

Theorem

The QR-problem admits a unique solution uε. Furthermore, if the Cauchy problem admits a (unique) solution u ∈ H2(Ω), uε

ε→0

− − − →

H2

u, ∆uε − ∆uL2(Ω) ≤ √εuH2(Ω), ε → uε − uH2(Ω) is an increasing function.

J´ er´ emi Dard´ e (Aalto University) PICOF’12 Tuesday 3rd April 2012 6 / 27

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Quasi-reversibility method - Standard formulation

  • Introduced by Robert Latt`

es and Jacques-Louis Lions in The method of quasi-reversibility: applications to partial differential equations - 1969.

  • Method based on the resolution of the

QR-problem: for ε > 0, find uε ∈ H2(Ω) s.t. uε = gD and ∇uε.ν = gN on Γ, and ∀v ∈ H2(Ω), v = ∇v.ν = 0 on Γ, (∆uε, ∆v)L2(Ω) + ε(uε, v)H2(Ω) = (f , ∆v)L2(Ω).

Theorem

The QR-problem admits a unique solution uε. Furthermore, if the Cauchy problem admits a (unique) solution u ∈ H2(Ω), uε

ε→0

− − − →

H2

u, ∆uε − ∆uL2(Ω) ≤ √εuH2(Ω), ε → uε − uH2(Ω) is an increasing function.

J´ er´ emi Dard´ e (Aalto University) PICOF’12 Tuesday 3rd April 2012 6 / 27

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Quasi-reversibility method - Standard formulation

(∆uε, ∆v)L2(Ω) + ε(uε, v)H2(Ω) = (f , ∆v)L2(Ω) Advantages:

  • variational form F.E.M.
  • in case of noisy data: method1 to set the parameter of regularization ε functions
  • f the amplitude of noise α, so that uε(α)

α→0

− − − → u. Drawbacks:

  • convergence result if u ∈ H2(Ω) (and not u ∈ H1(Ω, ∆)).
  • QR-problem is a fourth order problem.
  • 1L. Bourgeois & J. Dard´

e, A duality-based method of quasi-reversibility to solve the Cauchy problem in the presence of noisy data.

J´ er´ emi Dard´ e (Aalto University) PICOF’12 Tuesday 3rd April 2012 7 / 27

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Discretization of the variational problem - Finite element methods

(∆uε, ∆v)L2(Ω) + ε(uε, v)H2(Ω) = (f , ∆v)L2(Ω) Different options:

  • conforming finite element methods smooth (C 1) finite elements
  • important number of degrees of freedom
  • almost never available in numerical solvers
  • non-conforming finite element methods Morley or Fraeijs de Veubeke
  • Morley element exists for any dimension (not the case of F.V. element)
  • seldom available in numerical solvers, especially for 3d problems
  • convergence in mesh-dependent norm
  • mixed formulation of the problem
  • idea: to introduce a new unknown to deal with of high order derivatives
  • new problem can be discretized using standard F.E.M.

J´ er´ emi Dard´ e (Aalto University) PICOF’12 Tuesday 3rd April 2012 8 / 27

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Discretization of the variational problem - Finite element methods

(∆uε, ∆v)L2(Ω) + ε(uε, v)H2(Ω) = (f , ∆v)L2(Ω) Different options:

  • conforming finite element methods smooth (C 1) finite elements
  • important number of degrees of freedom
  • almost never available in numerical solvers
  • non-conforming finite element methods Morley or Fraeijs de Veubeke
  • Morley element exists for any dimension (not the case of F.V. element)
  • seldom available in numerical solvers, especially for 3d problems
  • convergence in mesh-dependent norm
  • mixed formulation of the problem
  • idea: to introduce a new unknown to deal with of high order derivatives
  • new problem can be discretized using standard F.E.M.

J´ er´ emi Dard´ e (Aalto University) PICOF’12 Tuesday 3rd April 2012 8 / 27

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Discretization of the variational problem - Finite element methods

(∆uε, ∆v)L2(Ω) + ε(uε, v)H2(Ω) = (f , ∆v)L2(Ω) Different options:

  • conforming finite element methods smooth (C 1) finite elements
  • important number of degrees of freedom
  • almost never available in numerical solvers
  • non-conforming finite element methods Morley or Fraeijs de Veubeke
  • Morley element exists for any dimension (not the case of F.V. element)
  • seldom available in numerical solvers, especially for 3d problems
  • convergence in mesh-dependent norm
  • mixed formulation of the problem
  • idea: to introduce a new unknown to deal with of high order derivatives
  • new problem can be discretized using standard F.E.M.

J´ er´ emi Dard´ e (Aalto University) PICOF’12 Tuesday 3rd April 2012 8 / 27

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SLIDE 15

Discretization of the variational problem - Finite element methods

(∆uε, ∆v)L2(Ω) + ε(uε, v)H2(Ω) = (f , ∆v)L2(Ω) Different options:

  • conforming finite element methods smooth (C 1) finite elements
  • important number of degrees of freedom
  • almost never available in numerical solvers
  • non-conforming finite element methods Morley or Fraeijs de Veubeke
  • Morley element exists for any dimension (not the case of F.V. element)
  • seldom available in numerical solvers, especially for 3d problems
  • convergence in mesh-dependent norm
  • mixed formulation of the problem
  • idea: to introduce a new unknown to deal with of high order derivatives
  • new problem can be discretized using standard F.E.M.

J´ er´ emi Dard´ e (Aalto University) PICOF’12 Tuesday 3rd April 2012 8 / 27

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SLIDE 16

1

Introduction Elliptic Cauchy problem Quasi-reversibility method - Standard formulation

2

Mixed formulation of quasi-reversibility First formulation Second formulation

3

Numerical results Data completion problem Inverse obstacle problem

J´ er´ emi Dard´ e (Aalto University) PICOF’12 Tuesday 3rd April 2012 9 / 27

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A first mixed formulation

  • Introduced in A mixed formulation of quasi-reversibility to solve the Cauchy

problem for Laplace’s equation, L.Bourgeois, 2005. QR-problem: for ε > 0 ans δ > 0, find u ∈ H1(Ω), u|Γ = g0, and λ ∈ H1(Ω), λ|Γc = 0 s.t. ∀v ∈ H1(Ω), v|Γ = 0, ∀µ ∈ H1(Ω), µ|Γc = 0,    ε(u, v)H1(Ω) + (∇λ, ∇v)L2(Ω) = 0, (∇u, ∇µ)L2(Ω) − (λ, µ)L2(Ω) − δ(λ, µ)H1(Ω) = (f , µ)L2(Ω) + g1, µΓ.

Theorem

This problem admits a unique solution (uε,δ, λε,δ). Furthermore, if limε→0 ε δ(ε) = 0, (uε, λε)

ε→0

− − − → (u, 0). Drawbacks:

  • no procedure to set parameters of regularization in presence of noisy data
  • additional unknown λ is actually known (λ ≈ ∆u − f = 0).

J´ er´ emi Dard´ e (Aalto University) PICOF’12 Tuesday 3rd April 2012 10 / 27

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A first mixed formulation

  • Introduced in A mixed formulation of quasi-reversibility to solve the Cauchy

problem for Laplace’s equation, L.Bourgeois, 2005. QR-problem: for ε > 0 ans δ > 0, find u ∈ H1(Ω), u|Γ = g0, and λ ∈ H1(Ω), λ|Γc = 0 s.t. ∀v ∈ H1(Ω), v|Γ = 0, ∀µ ∈ H1(Ω), µ|Γc = 0,    ε(u, v)H1(Ω) + (∇λ, ∇v)L2(Ω) = 0, (∇u, ∇µ)L2(Ω) − (λ, µ)L2(Ω) − δ(λ, µ)H1(Ω) = (f , µ)L2(Ω) + g1, µΓ.

Theorem

This problem admits a unique solution (uε,δ, λε,δ). Furthermore, if limε→0 ε δ(ε) = 0, (uε, λε)

ε→0

− − − → (u, 0). Drawbacks:

  • no procedure to set parameters of regularization in presence of noisy data
  • additional unknown λ is actually known (λ ≈ ∆u − f = 0).

J´ er´ emi Dard´ e (Aalto University) PICOF’12 Tuesday 3rd April 2012 10 / 27

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A new mixed formulation: construction

  • Cauchy problem: for (f , gD, gN) ∈ L2(Ω) × H1/2(Γ) × L2(Γ), find u s.t.

   ∆u = f in Ω u = gD

  • n Γ

∇u.ν = gN

  • n Γ
  • p := ∇u, verifies ∇.p = ∇.∇u = f ∈ L2(Ω) in Ω and p.ν = ∇u.ν = gN on Γ.
  • Cauchy problem: find (u, p) ∈ H1(Ω) × Hdiv(Ω) :=
  • q ∈ L2(Ω)d, ∇.q ∈ L2(Ω)
  • s.t.

       ∇.p = f in Ω ∇u = p in Ω u = gD

  • n Γ

p.ν = gN

  • n Γ

This problem admits at most one solution (u, p).

J´ er´ emi Dard´ e (Aalto University) PICOF’12 Tuesday 3rd April 2012 11 / 27

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A new mixed formulation: construction

  • Cauchy problem: for (f , gD, gN) ∈ L2(Ω) × H1/2(Γ) × L2(Γ), find u s.t.

   ∆u = f in Ω u = gD

  • n Γ

∇u.ν = gN

  • n Γ
  • p := ∇u, verifies ∇.p = ∇.∇u = f ∈ L2(Ω) in Ω and p.ν = ∇u.ν = gN on Γ.
  • Cauchy problem: find (u, p) ∈ H1(Ω) × Hdiv(Ω) :=
  • q ∈ L2(Ω)d, ∇.q ∈ L2(Ω)
  • s.t.

       ∇.p = f in Ω ∇u = p in Ω u = gD

  • n Γ

p.ν = gN

  • n Γ

This problem admits at most one solution (u, p).

J´ er´ emi Dard´ e (Aalto University) PICOF’12 Tuesday 3rd April 2012 11 / 27

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SLIDE 21

A new mixed formulation: construction

  • Cauchy problem: for (f , gD, gN) ∈ L2(Ω) × H1/2(Γ) × L2(Γ), find u s.t.

   ∆u = f in Ω u = gD

  • n Γ

∇u.ν = gN

  • n Γ
  • p := ∇u, verifies ∇.p = ∇.∇u = f ∈ L2(Ω) in Ω and p.ν = ∇u.ν = gN on Γ.
  • Cauchy problem: find (u, p) ∈ H1(Ω) × Hdiv(Ω) :=
  • q ∈ L2(Ω)d, ∇.q ∈ L2(Ω)
  • s.t.

       ∇.p = f in Ω ∇u = p in Ω u = gD

  • n Γ

p.ν = gN

  • n Γ

This problem admits at most one solution (u, p).

J´ er´ emi Dard´ e (Aalto University) PICOF’12 Tuesday 3rd April 2012 11 / 27

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A new mixed formulation: construction

V :=

  • v ∈ H1(Ω), v|Γ = gD
  • ,

V0 :=

  • v ∈ H1(Ω), v|Γ = 0
  • ,

D :=

  • q ∈ Hdiv(Ω), q.ν|Γ = gN
  • ,

D0 :=

  • q ∈ Hdiv(Ω), q.ν|Γ = 0
  • .

V = ∅ and D = ∅.

  • Mixed QR problem: for ε > 0, find uε ∈ V and pε ∈ D s.t.

       (∇uε − pε, ∇v)L2(Ω)d + ε(uε, v)H1(Ω) = 0, ∀v ∈ V0 − (∇uε − pε, q)L2(Ω)d + (∇.pε, ∇.q)L2(Ω) + ε(pε, q)Hdiv(Ω) = (f , ∇.q)L2(Ω), ∀q ∈ D0.

J´ er´ emi Dard´ e (Aalto University) PICOF’12 Tuesday 3rd April 2012 12 / 27

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SLIDE 23

A new mixed formulation: construction

V :=

  • v ∈ H1(Ω), v|Γ = gD
  • ,

V0 :=

  • v ∈ H1(Ω), v|Γ = 0
  • ,

D :=

  • q ∈ Hdiv(Ω), q.ν|Γ = gN
  • ,

D0 :=

  • q ∈ Hdiv(Ω), q.ν|Γ = 0
  • .

V = ∅ and D = ∅.

  • Mixed QR problem: for ε > 0, find uε ∈ V and pε ∈ D s.t.

       (∇uε − pε, ∇v)L2(Ω)d + ε(uε, v)H1(Ω) = 0, ∀v ∈ V0 − (∇uε − pε, q)L2(Ω)d + (∇.pε, ∇.q)L2(Ω) + ε(pε, q)Hdiv(Ω) = (f , ∇.q)L2(Ω), ∀q ∈ D0.

J´ er´ emi Dard´ e (Aalto University) PICOF’12 Tuesday 3rd April 2012 12 / 27

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SLIDE 24

A new mixed formulation: construction

V :=

  • v ∈ H1(Ω), v|Γ = gD
  • ,

V0 :=

  • v ∈ H1(Ω), v|Γ = 0
  • ,

D :=

  • q ∈ Hdiv(Ω), q.ν|Γ = gN
  • ,

D0 :=

  • q ∈ Hdiv(Ω), q.ν|Γ = 0
  • .

V = ∅ and D = ∅.

  • Mixed QR problem: for ε > 0, find uε ∈ V and pε ∈ D s.t.

       (∇uε − pε, ∇v)L2(Ω)d + ε(uε, v)H1(Ω) = 0, ∀v ∈ V0 − (∇uε − pε, q)L2(Ω)d + (∇.pε, ∇.q)L2(Ω) + ε(pε, q)Hdiv(Ω) = (f , ∇.q)L2(Ω), ∀q ∈ D0.

J´ er´ emi Dard´ e (Aalto University) PICOF’12 Tuesday 3rd April 2012 12 / 27

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SLIDE 25

A new mixed formulation: construction

V :=

  • v ∈ H1(Ω), v|Γ = gD
  • ,

V0 :=

  • v ∈ H1(Ω), v|Γ = 0
  • ,

D :=

  • q ∈ Hdiv(Ω), q.ν|Γ = gN
  • ,

D0 :=

  • q ∈ Hdiv(Ω), q.ν|Γ = 0
  • .

V = ∅ and D = ∅.

  • Mixed QR problem: for ε > 0, find uε ∈ V and pε ∈ D s.t.

       (∇uε − pε, ∇v)L2(Ω)d + ε(uε, v)H1(Ω) = 0, ∀v ∈ V0 − (∇uε − pε, q)L2(Ω)d + (∇.pε, ∇.q)L2(Ω) + ε(pε, q)Hdiv(Ω) = (f , ∇.q)L2(Ω), ∀q ∈ D0.

J´ er´ emi Dard´ e (Aalto University) PICOF’12 Tuesday 3rd April 2012 12 / 27

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SLIDE 26

A new mixed formulation: construction

V :=

  • v ∈ H1(Ω), v|Γ = gD
  • ,

V0 :=

  • v ∈ H1(Ω), v|Γ = 0
  • ,

D :=

  • q ∈ Hdiv(Ω), q.ν|Γ = gN
  • ,

D0 :=

  • q ∈ Hdiv(Ω), q.ν|Γ = 0
  • .

V = ∅ and D = ∅.

  • Mixed QR problem: for ε > 0, find uε ∈ V and pε ∈ D s.t.

       (∇uε − pε, ∇v)L2(Ω)d + ε(uε, v)H1(Ω) = 0, ∀v ∈ V0 − (∇uε − pε, q)L2(Ω)d + (∇.pε, ∇.q)L2(Ω) + ε(pε, q)Hdiv(Ω) = (f , ∇.q)L2(Ω), ∀q ∈ D0.

J´ er´ emi Dard´ e (Aalto University) PICOF’12 Tuesday 3rd April 2012 12 / 27

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SLIDE 27

Mixed formulation

  • Mixed QR problem: for ε > 0, find uε ∈ V and pε ∈ D s.t.

   (∇uε − pε, ∇v)L2(Ω)d + ε(uε, v)H1(Ω) = 0, ∀v ∈ V0 −(∇uε − pε, q)L2(Ω)d + (∇.pε, ∇.q)L2(Ω) + ε(pε, q)Hdiv(Ω) = (f , ∇.q)L2(Ω), ∀q ∈ D0.

Theorem

For all ε > 0, the mixed QR problem admits a unique solution (uε, pε). Furthermore, if the Cauchy problem admits a (unique) solution u ∈ H1(Ω, ∆), we have uε

H1

− − − →

ε→0 u,

Hdiv

− − − →

ε→0 ∇u,

∇.pε − f L2(Ω) ≤ √εu, ∇uH1(Ω)×Hdiv(Ω), ∇uε − pεL2(Ω)d ≤ √εu, ∇uH1(Ω)×Hdiv(Ω).

  • Remark. If ∂Ω is “sufficiently smooth”, we actually have an equivalence: if the

Cauchy problem does not have a solution, then uε, pεH1(Ω)×Hdiv(Ω)

ε→0

− − − → ∞.

J´ er´ emi Dard´ e (Aalto University) PICOF’12 Tuesday 3rd April 2012 13 / 27

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SLIDE 28

Mixed formulation

  • Mixed QR problem: for ε > 0, find uε ∈ V and pε ∈ D s.t.

   (∇uε − pε, ∇v)L2(Ω)d + ε(uε, v)H1(Ω) = 0, ∀v ∈ V0 −(∇uε − pε, q)L2(Ω)d + (∇.pε, ∇.q)L2(Ω) + ε(pε, q)Hdiv(Ω) = (f , ∇.q)L2(Ω), ∀q ∈ D0.

Theorem

For all ε > 0, the mixed QR problem admits a unique solution (uε, pε). Furthermore, if the Cauchy problem admits a (unique) solution u ∈ H1(Ω, ∆), we have uε

H1

− − − →

ε→0 u,

Hdiv

− − − →

ε→0 ∇u,

∇.pε − f L2(Ω) ≤ √εu, ∇uH1(Ω)×Hdiv(Ω), ∇uε − pεL2(Ω)d ≤ √εu, ∇uH1(Ω)×Hdiv(Ω).

  • Remark. If ∂Ω is “sufficiently smooth”, we actually have an equivalence: if the

Cauchy problem does not have a solution, then uε, pεH1(Ω)×Hdiv(Ω)

ε→0

− − − → ∞.

J´ er´ emi Dard´ e (Aalto University) PICOF’12 Tuesday 3rd April 2012 13 / 27

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SLIDE 29

Sketch of proof

  • Existence and uniqueness of (uε, pε) Lax-Milgram theorem.
  • uε − u ∈ V0, pε − ∇u ∈ D0
  • uε, pεH1×Hdiv ≤ u, ∇uH1×Hdiv
  • uε − u, pε − ∇uH1×Hdiv ≤ u, ∇uH1×Hdiv
  • ∇uε − pεL2(Ω)d, ∇.pε − f L2(Ω) ≤ √εu, ∇uH1×Hdiv.
  • uε, pεH1×Hdiv ≤ u, ∇uH1×Hdiv ⇒ εn

n→∞

− − − → 0 s.t. (uεn, pεn) ⇀

H1×Hdiv

(w, r)        uεn|Γ = gD pεn.ν|Γ = gN ∇uεn − pεnL2(Ω)d ≤ C√εn ∇.pεn − f L2(Ω) ≤ C√εn = ⇒        w|Γ = gD r.ν|Γ = gN ∇w − r = 0 ∇.r − f = 0 = ⇒ (w, r) = (u, ∇u).

er´ emi Dard´ e (Aalto University) PICOF’12 Tuesday 3rd April 2012 14 / 27

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SLIDE 30

Sketch of proof

  • Existence and uniqueness of (uε, pε) Lax-Milgram theorem.
  • uε − u ∈ V0, pε − ∇u ∈ D0
  • uε, pεH1×Hdiv ≤ u, ∇uH1×Hdiv
  • uε − u, pε − ∇uH1×Hdiv ≤ u, ∇uH1×Hdiv
  • ∇uε − pεL2(Ω)d, ∇.pε − f L2(Ω) ≤ √εu, ∇uH1×Hdiv.
  • uε, pεH1×Hdiv ≤ u, ∇uH1×Hdiv ⇒ εn

n→∞

− − − → 0 s.t. (uεn, pεn) ⇀

H1×Hdiv

(w, r)        uεn|Γ = gD pεn.ν|Γ = gN ∇uεn − pεnL2(Ω)d ≤ C√εn ∇.pεn − f L2(Ω) ≤ C√εn = ⇒        w|Γ = gD r.ν|Γ = gN ∇w − r = 0 ∇.r − f = 0 = ⇒ (w, r) = (u, ∇u).

er´ emi Dard´ e (Aalto University) PICOF’12 Tuesday 3rd April 2012 14 / 27

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SLIDE 31

Sketch of proof

  • Existence and uniqueness of (uε, pε) Lax-Milgram theorem.
  • uε − u ∈ V0, pε − ∇u ∈ D0
  • uε, pεH1×Hdiv ≤ u, ∇uH1×Hdiv
  • uε − u, pε − ∇uH1×Hdiv ≤ u, ∇uH1×Hdiv
  • ∇uε − pεL2(Ω)d, ∇.pε − f L2(Ω) ≤ √εu, ∇uH1×Hdiv.
  • uε, pεH1×Hdiv ≤ u, ∇uH1×Hdiv ⇒ εn

n→∞

− − − → 0 s.t. (uεn, pεn) ⇀

H1×Hdiv

(w, r)        uεn|Γ = gD pεn.ν|Γ = gN ∇uεn − pεnL2(Ω)d ≤ C√εn ∇.pεn − f L2(Ω) ≤ C√εn = ⇒        w|Γ = gD r.ν|Γ = gN ∇w − r = 0 ∇.r − f = 0 = ⇒ (w, r) = (u, ∇u).

er´ emi Dard´ e (Aalto University) PICOF’12 Tuesday 3rd April 2012 14 / 27

slide-32
SLIDE 32

Sketch of proof

  • Existence and uniqueness of (uε, pε) Lax-Milgram theorem.
  • uε − u ∈ V0, pε − ∇u ∈ D0
  • uε, pεH1×Hdiv ≤ u, ∇uH1×Hdiv
  • uε − u, pε − ∇uH1×Hdiv ≤ u, ∇uH1×Hdiv
  • ∇uε − pεL2(Ω)d, ∇.pε − f L2(Ω) ≤ √εu, ∇uH1×Hdiv.
  • uε, pεH1×Hdiv ≤ u, ∇uH1×Hdiv ⇒ εn

n→∞

− − − → 0 s.t. (uεn, pεn) ⇀

H1×Hdiv

(w, r)        uεn|Γ = gD pεn.ν|Γ = gN ∇uεn − pεnL2(Ω)d ≤ C√εn ∇.pεn − f L2(Ω) ≤ C√εn = ⇒        w|Γ = gD r.ν|Γ = gN ∇w − r = 0 ∇.r − f = 0 = ⇒ (w, r) = (u, ∇u).

er´ emi Dard´ e (Aalto University) PICOF’12 Tuesday 3rd April 2012 14 / 27

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SLIDE 33

Sketch of proof

  • Existence and uniqueness of (uε, pε) Lax-Milgram theorem.
  • uε − u ∈ V0, pε − ∇u ∈ D0
  • uε, pεH1×Hdiv ≤ u, ∇uH1×Hdiv
  • uε − u, pε − ∇uH1×Hdiv ≤ u, ∇uH1×Hdiv
  • ∇uε − pεL2(Ω)d, ∇.pε − f L2(Ω) ≤ √εu, ∇uH1×Hdiv.
  • uε, pεH1×Hdiv ≤ u, ∇uH1×Hdiv ⇒ εn

n→∞

− − − → 0 s.t. (uεn, pεn) ⇀

H1×Hdiv

(w, r)        uεn|Γ = gD pεn.ν|Γ = gN ∇uεn − pεnL2(Ω)d ≤ C√εn ∇.pεn − f L2(Ω) ≤ C√εn = ⇒        w|Γ = gD r.ν|Γ = gN ∇w − r = 0 ∇.r − f = 0 = ⇒ (w, r) = (u, ∇u).

er´ emi Dard´ e (Aalto University) PICOF’12 Tuesday 3rd April 2012 14 / 27

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SLIDE 34

Sketch of proof

  • Existence and uniqueness of (uε, pε) Lax-Milgram theorem.
  • uε − u ∈ V0, pε − ∇u ∈ D0
  • uε, pεH1×Hdiv ≤ u, ∇uH1×Hdiv
  • uε − u, pε − ∇uH1×Hdiv ≤ u, ∇uH1×Hdiv
  • ∇uε − pεL2(Ω)d, ∇.pε − f L2(Ω) ≤ √εu, ∇uH1×Hdiv.
  • uε, pεH1×Hdiv ≤ u, ∇uH1×Hdiv ⇒ εn

n→∞

− − − → 0 s.t. (uεn, pεn) ⇀

H1×Hdiv

(w, r)        uεn|Γ = gD pεn.ν|Γ = gN ∇uεn − pεnL2(Ω)d ≤ C√εn ∇.pεn − f L2(Ω) ≤ C√εn = ⇒        w|Γ = gD r.ν|Γ = gN ∇w − r = 0 ∇.r − f = 0 = ⇒ (w, r) = (u, ∇u).

er´ emi Dard´ e (Aalto University) PICOF’12 Tuesday 3rd April 2012 14 / 27

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SLIDE 35

Sketch of proof

  • Existence and uniqueness of (uε, pε) Lax-Milgram theorem.
  • uε − u ∈ V0, pε − ∇u ∈ D0
  • uε, pεH1×Hdiv ≤ u, ∇uH1×Hdiv
  • uε − u, pε − ∇uH1×Hdiv ≤ u, ∇uH1×Hdiv
  • ∇uε − pεL2(Ω)d, ∇.pε − f L2(Ω) ≤ √εu, ∇uH1×Hdiv.
  • uε, pεH1×Hdiv ≤ u, ∇uH1×Hdiv ⇒ εn

n→∞

− − − → 0 s.t. (uεn, pεn) ⇀

H1×Hdiv

(w, r)        uεn|Γ = gD pεn.ν|Γ = gN ∇uεn − pεnL2(Ω)d ≤ C√εn ∇.pεn − f L2(Ω) ≤ C√εn = ⇒        w|Γ = gD r.ν|Γ = gN ∇w − r = 0 ∇.r − f = 0 = ⇒ (w, r) = (u, ∇u).

er´ emi Dard´ e (Aalto University) PICOF’12 Tuesday 3rd April 2012 14 / 27

slide-36
SLIDE 36

Sketch of proof

  • Existence and uniqueness of (uε, pε) Lax-Milgram theorem.
  • uε − u ∈ V0, pε − ∇u ∈ D0
  • uε, pεH1×Hdiv ≤ u, ∇uH1×Hdiv
  • uε − u, pε − ∇uH1×Hdiv ≤ u, ∇uH1×Hdiv
  • ∇uε − pεL2(Ω)d, ∇.pε − f L2(Ω) ≤ √εu, ∇uH1×Hdiv.
  • uε, pεH1×Hdiv ≤ u, ∇uH1×Hdiv ⇒ εn

n→∞

− − − → 0 s.t. (uεn, pεn) ⇀

H1×Hdiv

(w, r)        uεn|Γ = gD pεn.ν|Γ = gN ∇uεn − pεnL2(Ω)d ≤ C√εn ∇.pεn − f L2(Ω) ≤ C√εn = ⇒        w|Γ = gD r.ν|Γ = gN ∇w − r = 0 ∇.r − f = 0 = ⇒ (w, r) = (u, ∇u).

er´ emi Dard´ e (Aalto University) PICOF’12 Tuesday 3rd April 2012 14 / 27

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SLIDE 37

Sketch of proof

  • Existence and uniqueness of (uε, pε) Lax-Milgram theorem.
  • uε − u ∈ V0, pε − ∇u ∈ D0
  • uε, pεH1×Hdiv ≤ u, ∇uH1×Hdiv
  • uε − u, pε − ∇uH1×Hdiv ≤ u, ∇uH1×Hdiv
  • ∇uε − pεL2(Ω)d, ∇.pε − f L2(Ω) ≤ √εu, ∇uH1×Hdiv.
  • uε, pεH1×Hdiv ≤ u, ∇uH1×Hdiv ⇒ εn

n→∞

− − − → 0 s.t. (uεn, pεn) ⇀

H1×Hdiv

(w, r)        uεn|Γ = gD pεn.ν|Γ = gN ∇uεn − pεnL2(Ω)d ≤ C√εn ∇.pεn − f L2(Ω) ≤ C√εn = ⇒        w|Γ = gD r.ν|Γ = gN ∇w − r = 0 ∇.r − f = 0 = ⇒ (w, r) = (u, ∇u).

er´ emi Dard´ e (Aalto University) PICOF’12 Tuesday 3rd April 2012 14 / 27

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SLIDE 38

Noise and Discretization

  • Method to set parameter of regularization in presence of noisy data for the

standard formulation works for the mixed formulation

  • Mixed QR problem: for ε > 0, find (uε, pε) ∈ V × D s.t.

       (∇uε − pε, ∇v)L2(Ω)d + ε(uε, v)H1(Ω) = 0, ∀v ∈ V0 −(∇uε − pε, q)L2(Ω)d + (∇.pε, ∇.q)L2(Ω) + ε(pε, q)Hdiv(Ω) = (f , ∇.q)L2(Ω), ∀q ∈ D0.

  • uε ∈ H1(Ω) Pm Lagrange F.E.
  • pε ∈ Hdiv(Ω) RTm Raviart-Thomas F.E. or BDMm Brezzi-Douglas-Marini

F.E.

  • Convergence result:

uε,h − uεH1(Ω), pε,h − pεHdiv(Ω) ≤ hk √1 + ε √ε C(u).

J´ er´ emi Dard´ e (Aalto University) PICOF’12 Tuesday 3rd April 2012 15 / 27

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SLIDE 39

Noise and Discretization

  • Method to set parameter of regularization in presence of noisy data for the

standard formulation works for the mixed formulation

  • Mixed QR problem: for ε > 0, find (uε, pε) ∈ V × D s.t.

       (∇uε − pε, ∇v)L2(Ω)d + ε(uε, v)H1(Ω) = 0, ∀v ∈ V0 −(∇uε − pε, q)L2(Ω)d + (∇.pε, ∇.q)L2(Ω) + ε(pε, q)Hdiv(Ω) = (f , ∇.q)L2(Ω), ∀q ∈ D0.

  • uε ∈ H1(Ω) Pm Lagrange F.E.
  • pε ∈ Hdiv(Ω) RTm Raviart-Thomas F.E. or BDMm Brezzi-Douglas-Marini

F.E.

  • Convergence result:

uε,h − uεH1(Ω), pε,h − pεHdiv(Ω) ≤ hk √1 + ε √ε C(u).

J´ er´ emi Dard´ e (Aalto University) PICOF’12 Tuesday 3rd April 2012 15 / 27

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SLIDE 40

1

Introduction Elliptic Cauchy problem Quasi-reversibility method - Standard formulation

2

Mixed formulation of quasi-reversibility First formulation Second formulation

3

Numerical results Data completion problem Inverse obstacle problem

J´ er´ emi Dard´ e (Aalto University) PICOF’12 Tuesday 3rd April 2012 16 / 27

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SLIDE 41

Scalar 2d case

  • Ω := D((0, 0), 1) \ D((0, 0), 0.4), Γ = ∂D((0, 0), 1).
  • Mesh characteristics: 50 pts on Γ, 25

pts on Γc, hmax ∼ 0.18.

  • Problem parameters: ε = 10−4, P2 Lagrange and BDM1 F.E. spaces.
  • Exact solution: u = y 3

3 − x2 y, u = sin(π x) cosh(π y)

  • Computation done using Freefem++.

J´ er´ emi Dard´ e (Aalto University) PICOF’12 Tuesday 3rd April 2012 17 / 27

slide-42
SLIDE 42

Exact solution: u = y 3 3 − x2 y

IsoValue

  • 0.367694
  • 0.315166
  • 0.280148
  • 0.245129
  • 0.210111
  • 0.175092
  • 0.140074
  • 0.105055
  • 0.070037
  • 0.0350185

5.54637e-17 0.0350185 0.070037 0.105055 0.140074 0.175092 0.210111 0.245129 0.280148 0.367694 IsoValue

  • 0.000293702
  • 0.000255091
  • 0.000229351
  • 0.00020361
  • 0.000177869
  • 0.000152129
  • 0.000126388
  • 0.000100648
  • 7.49069e-05
  • 4.91663e-05
  • 2.34256e-05

2.315e-06 2.80556e-05 5.37963e-05 7.95369e-05 0.000105278 0.000131018 0.000156759 0.000182499 0.000246851

u and uε − u in Ω.

J´ er´ emi Dard´ e (Aalto University) PICOF’12 Tuesday 3rd April 2012 18 / 27

slide-43
SLIDE 43

Exact solution: u = y 3 3 − x2 y

Vec Value 0.0529944 0.105989 0.158983 0.211978 0.264972 0.317966 0.370961 0.423955 0.47695 0.529944 0.582938 0.635933 0.688927 0.741922 0.794916 0.847911 0.900905 0.953899 1.00689 Vec Value 0.000363842 0.000727684 0.00109153 0.00145537 0.00181921 0.00218305 0.00254689 0.00291073 0.00327458 0.00363842 0.00400226 0.0043661 0.00472994 0.00509379 0.00545763 0.00582147 0.00618531 0.00654915 0.00691299

∇u and pε − ∇u in Ω.

J´ er´ emi Dard´ e (Aalto University) PICOF’12 Tuesday 3rd April 2012 18 / 27

slide-44
SLIDE 44

Exact solution: u = y 3 3 − x2 y

  • 0.025
  • 0.02
  • 0.015
  • 0.01
  • 0.005

0.005 0.01 0.015 0.02 0.025

  • 3
  • 2
  • 1

1 2 3 u uε u and uε on Γc.

J´ er´ emi Dard´ e (Aalto University) PICOF’12 Tuesday 3rd April 2012 18 / 27

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SLIDE 45

Exact solution: u = sin(π x) cosh(π y)

IsoValue

  • 9.36283
  • 8.02528
  • 7.13359
  • 6.24189
  • 5.35019
  • 4.45849
  • 3.56679
  • 2.67509
  • 1.7834
  • 0.891698
  • 2.66399e-15

0.891698 1.7834 2.67509 3.56679 4.45849 5.35019 6.24189 7.13359 9.36283 IsoValue

  • 0.0106538
  • 0.00906162
  • 0.00800014
  • 0.00693866
  • 0.00587717
  • 0.00481569
  • 0.00375421
  • 0.00269273
  • 0.00163125
  • 0.000569765

0.000491717 0.0015532 0.00261468 0.00367616 0.00473764 0.00579913 0.00686061 0.00792209 0.00898357 0.0116373

u and uε − u in Ω.

J´ er´ emi Dard´ e (Aalto University) PICOF’12 Tuesday 3rd April 2012 19 / 27

slide-46
SLIDE 46

Exact solution: u = sin(π x) cosh(π y)

Vec Value 1.94244 3.88489 5.82733 7.76977 9.71221 11.6547 13.5971 15.5395 17.482 19.4244 21.3669 23.3093 25.2518 27.1942 29.1366 31.0791 33.0215 34.964 36.9064 Vec Value 0.0123351 0.0246702 0.0370054 0.0493405 0.0616756 0.0740107 0.0863458 0.098681 0.111016 0.123351 0.135686 0.148021 0.160357 0.172692 0.185027 0.197362 0.209697 0.222032 0.234367

∇u and pε − ∇u in Ω.

J´ er´ emi Dard´ e (Aalto University) PICOF’12 Tuesday 3rd April 2012 19 / 27

slide-47
SLIDE 47

Exact solution: u = sin(π x) cosh(π y)

  • 1.5
  • 1
  • 0.5

0.5 1 1.5

  • 3
  • 2
  • 1

1 2 3 u uε u and uε on Γc.

J´ er´ emi Dard´ e (Aalto University) PICOF’12 Tuesday 3rd April 2012 19 / 27

slide-48
SLIDE 48

Scalar 3d case

  • Ω := D((0, 0), 1) × ]0, 2[ \ D((0, 0), 0.4) × ]0.7, 1.4[.
  • Γ := ∂D((0, 0), 1) × ]0, 2[.
  • Problem solved using P1 × RT0 F.E.
  • Mesh created with GMSH, computed with Freefem++, visualization using

Medit and Matlab.

J´ er´ emi Dard´ e (Aalto University) PICOF’12 Tuesday 3rd April 2012 20 / 27

slide-49
SLIDE 49

Exact solution: u = x2 + y 2 − 2 z2

uε and uε − u in Ω.

J´ er´ emi Dard´ e (Aalto University) PICOF’12 Tuesday 3rd April 2012 21 / 27

slide-50
SLIDE 50

Exact solution: u = x2 + y 2 − 2 z2

−2 −1 1 2 3 0.7 0.8 0.9 1 1.1 1.2 1.3 1.4 −3.5 −3 −2.5 −2 −1.5 −1 −2 −1 1 2 3 0.7 0.8 0.9 1 1.1 1.2 1.3 1.4 0.035 0.04 0.045 0.05 0.055 0.06 0.065 0.07 0.075

uε and uε − u on ∂D((0, 0), 0.4) × ]0.7, 1.4[.

J´ er´ emi Dard´ e (Aalto University) PICOF’12 Tuesday 3rd April 2012 21 / 27

slide-51
SLIDE 51

Exact solution: u = cosh(z)(sin(x/ √ 2) + cos(y/ √ 2))

uε and uε − u in Ω.

J´ er´ emi Dard´ e (Aalto University) PICOF’12 Tuesday 3rd April 2012 22 / 27

slide-52
SLIDE 52

Exact solution: u = cosh(z)(sin(x/ √ 2) + cos(y/ √ 2))

−2 −1 1 2 3 0.7 0.8 0.9 1 1.1 1.2 1.3 1.4 1 1.5 2 2.5 −2 −1 1 2 3 0.7 0.8 0.9 1 1.1 1.2 1.3 1.4 −0.3 −0.25 −0.2 −0.15 −0.1

uε and uε − u on ∂D((0, 0), 0.4) × ]0.7, 1.4[.

J´ er´ emi Dard´ e (Aalto University) PICOF’12 Tuesday 3rd April 2012 22 / 27

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SLIDE 53

Inverse obstacle problem

  • D bounded, connected open set in Rd, Γ ⊂ ∂D.
  • Problem: for (gD, gN) = (0, 0), find O ⊂ D s.t. Ω(O) := D \ O is connected,

and u ∈ H1(Ω(O)) ∩ C 0(Ω(O)) s.t.        ∇.A∇u = in Ω(O) u = gD

  • n Γ

A∇u.ν = gN

  • n Γ

u =

  • n ∂O.
  • This problem has at most one solution (O, u).
  • Example - control of plasma shape in Tokamak: in the vacuum chamber V of a

tokamak, in presence of a plasma P, the poloidal component of the magnetic field ψ verifies the following equations (in cylindrical coordinates):        ∇ 1

r ∇ψ

= in V \ P ψ = gD

  • n ∂V

1 r ∇ψ.ν

= gN

  • n ∂V

ψ = cte

  • n ∂P.

J´ er´ emi Dard´ e (Aalto University) PICOF’12 Tuesday 3rd April 2012 23 / 27

slide-54
SLIDE 54

Inverse obstacle problem

  • D bounded, connected open set in Rd, Γ ⊂ ∂D.
  • Problem: for (gD, gN) = (0, 0), find O ⊂ D s.t. Ω(O) := D \ O is connected,

and u ∈ H1(Ω(O)) ∩ C 0(Ω(O)) s.t.        ∇.A∇u = in Ω(O) u = gD

  • n Γ

A∇u.ν = gN

  • n Γ

u =

  • n ∂O.
  • This problem has at most one solution (O, u).
  • Example - control of plasma shape in Tokamak: in the vacuum chamber V of a

tokamak, in presence of a plasma P, the poloidal component of the magnetic field ψ verifies the following equations (in cylindrical coordinates):        ∇ 1

r ∇ψ

= in V \ P ψ = gD

  • n ∂V

1 r ∇ψ.ν

= gN

  • n ∂V

ψ = cte

  • n ∂P.

J´ er´ emi Dard´ e (Aalto University) PICOF’12 Tuesday 3rd April 2012 23 / 27

slide-55
SLIDE 55

Exterior approach2

Exterior approach algorithm:

  • Construct a sequence of open sets (ωm)m∈N such that

O ⊂ ωm+1 ⊂ ωm

  • Every step: solve a Cauchy problem outside ωm to reconstruct u → mixed QR

formulation

  • 2L. Bourgeois & J. Dard´

e, A quasi-reversibility approach to solve the inverse obstacle problem.

  • J. Dard´

e, The ”exterior approach”: a new framework to solve inverse obstacle problems.

J´ er´ emi Dard´ e (Aalto University) PICOF’12 Tuesday 3rd April 2012 24 / 27

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SLIDE 56

Control of plasma

  • Control of plasma shape in Tokamak: in the vacuum chamber V of a tokamak,

in presence of a plasma P, the poloidal component of the magnetic field ψ verifies the following equations (in cylindrical coordinates):        ∇ 1

r ∇ψ

= in V \ P ψ = gD

  • n ∂V

1 r ∇ψ.ν

= gN

  • n ∂V

ψ = cte

  • n ∂P.

1 2 3 4 −3 −2 −1 1 2 3 1.5 2 2.5 3 −1 −0.5 0.5 1 1.5

J´ er´ emi Dard´ e (Aalto University) PICOF’12 Tuesday 3rd April 2012 25 / 27

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SLIDE 57

Control of plasma

  • Control of plasma shape in Tokamak: in the vacuum chamber V of a tokamak,

in presence of a plasma P, the poloidal component of the magnetic field ψ verifies the following equations (in cylindrical coordinates):        ∇ 1

r ∇ψ

= in V \ P ψ = gD

  • n ∂V

1 r ∇ψ.ν

= gN

  • n ∂V

ψ = cte

  • n ∂P.

1 2 3 4 −3 −2 −1 1 2 3 1.5 2 2.5 −0.5 0.5 1

J´ er´ emi Dard´ e (Aalto University) PICOF’12 Tuesday 3rd April 2012 25 / 27

slide-58
SLIDE 58

3d inverse obstacle problem with Laplace equation

  • Inverse obstacle problem: knowing (gD, gN) on Γ ⊂ ∂D, find (O, u) s.t.

       ∆u = in D \ O u = gD

∇u.ν = gN

  • m Γ

u =

  • n ∂O

J´ er´ emi Dard´ e (Aalto University) PICOF’12 Tuesday 3rd April 2012 26 / 27

slide-59
SLIDE 59

Conclusion

We propose a new mixed formulation of the quasi-reversibility method:

  • convergence obtained for u ∈ H1(Ω, ∆)
  • discretization by standard finite elements
  • method to set parameter of regularization functions of amplitude of noise
  • scalar Cauchy problem (2d,3d)
  • inverse obstacle problem, scalar case (2d, 3d)
  • vectorial Cauchy problem (2d)

Future works:

  • method to set parameter of regularization functions of amplitude of noise →

to be tested

  • vectorial Cauchy problem (3d)
  • inverse obstacle problem, vectorial case (2d, 3d).

Thank you!

J´ er´ emi Dard´ e (Aalto University) PICOF’12 Tuesday 3rd April 2012 27 / 27

slide-60
SLIDE 60

Conclusion

We propose a new mixed formulation of the quasi-reversibility method:

  • convergence obtained for u ∈ H1(Ω, ∆)
  • discretization by standard finite elements
  • method to set parameter of regularization functions of amplitude of noise
  • scalar Cauchy problem (2d,3d)
  • inverse obstacle problem, scalar case (2d, 3d)
  • vectorial Cauchy problem (2d)

Future works:

  • method to set parameter of regularization functions of amplitude of noise →

to be tested

  • vectorial Cauchy problem (3d)
  • inverse obstacle problem, vectorial case (2d, 3d).

Thank you!

J´ er´ emi Dard´ e (Aalto University) PICOF’12 Tuesday 3rd April 2012 27 / 27

slide-61
SLIDE 61

Conclusion

We propose a new mixed formulation of the quasi-reversibility method:

  • convergence obtained for u ∈ H1(Ω, ∆)
  • discretization by standard finite elements
  • method to set parameter of regularization functions of amplitude of noise
  • scalar Cauchy problem (2d,3d)
  • inverse obstacle problem, scalar case (2d, 3d)
  • vectorial Cauchy problem (2d)

Future works:

  • method to set parameter of regularization functions of amplitude of noise →

to be tested

  • vectorial Cauchy problem (3d)
  • inverse obstacle problem, vectorial case (2d, 3d).

Thank you!

J´ er´ emi Dard´ e (Aalto University) PICOF’12 Tuesday 3rd April 2012 27 / 27