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On some potential inverse problems Juliette Leblond Sophia-Antipolis Team APICS (Analysis and Inverse problems for Control theory and Signal processing) From joint work with L. Baratchart, M. Clerc, Y. Fischer, J.-P. Marmorat, T. Papadopoulo


  1. On some potential inverse problems Juliette Leblond Sophia-Antipolis Team APICS (Analysis and Inverse problems for Control theory and Signal processing) From joint work with L. Baratchart, M. Clerc, Y. Fischer, J.-P. Marmorat, T. Papadopoulo

  2. Links between models, problems? EEG tokamak magnetized rock geoid

  3. Maxwell equations Under quasi-static assumptions • Electroencephalography (EEG), medical engineering, electrical potential • Magnetic plasma confinment in tokamaks, fusion, magnetic flux • Rocks magnetization, paleomagnetism, magnetic potential • Geodesy, geophysics (Newton law), gravitational potential Inverse problems: from measurements of a potential (flux, field) outside a domain Ω or on the boundary ∂ Ω, recover it, or its singularities, in Ω

  4. EEG: Maxwell � conductivity equations (James Clerk Maxwell) Electrical field E : ∇ × E = 0 (Faraday) ⇒ E = −∇ u , electrical potential u Current density J : ∇ · J = 0 ( ⇐ Amp` ere) With J = J p + σ E in the head, σ electrical conductivity, J p primary cerebral current: ⇒ ∇ · ( σ ∇ u ) = ∇ · J p

  5. Operators... • ∇ is gradient • ∇· is divergence (sum of first partial derivatives) • ∇× is curl (rotationnel) • ∆ is Laplace operator (sum of second partial derivatives) ∆ u = 0 ⇔ u harmonic function (linked with holomorphic/analytic functions)

  6. EEG: inverse source problem Being given: • a model of head Ω ⊂ R 3 , • a conductivity function σ EIT: σ unknown • measured (approximate) pointwise values on the boundary ∂ Ω of a solution u to K ∇ · ( σ ∇ u ) = ∇ · J p , J p = � p k δ C k in Ω k =1 find the quantity K , locations and moments C k ∈ Ω, p k ∈ R 3 of sources Associated direct problem, properties, ...

  7. EEG: conductivity � Laplace-Poisson equations Spherical geometry: head Ω made of 3 spherical layers Ω i (scalp, skull, brain) σ piecewise constant, equals σ i > 0 in Ω i ( σ 0 = 1) J p : pointwise dipolar sources in the brain Ω 0 • ∆ u = 0 in Ω 2 , Ω 1 • ∆ u = ∇ · J p = � K k =1 p k · ∇ δ C k in Ω 0

  8. EEG: inverse problems • Cortical mapping: ∂ Ω i = S i From pointwise measurements of u on part of S 2 (at electrodes, and ∂ n u = 0 on S 2 , current flux), find u , ∂ n u on S 0 with ∆ u = 0 in Ω 2 , Ω 1 • Source estimation: From u , ∂ n u on S 0 , find quantity K , locations C k of sources such that: (and moments p k ) ∆ u = � K k =1 p k · ∇ δ C k in Ω 0

  9. EEG: 1st cortical mapping step Data transmission from S 2 to S 0 , Cauchy boundary value problem • representation from boundary data Green formula, single- and double-layer potentials • boundary element methods • minimizing a regularized quadratic criterion (discrete, at points on S i ) • software: FindSources3D best constrained approximation problems, analytic functions, integral criterion

  10. EEG: 1st cortical mapping step 128 electrodes � u on S 0 , cortex

  11. EEG: 2nd source localization step From potential and normal current on S 0 , localize sources C k in Ω 0 • integral representation convolution by fundamental solution K < p k , X − C k > � u ( X ) ≃ � X − C k � 3 k =1 • spherical harmonics expansion of u on S 0 • u on families of parallel planar sections (circles) coincides with a function whose singularities (poles and branchoints) are related to the sources

  12. EEG: 2nd source localization step • Fourier expansion • best quadratic rational approximation on circles APICS team � planar singularities approx. degree � K • clustering the planar singularities � sources, moments (software: FindSources3D)

  13. EEG: 2nd source localization step theoretical singularities/ numerical estimation approximating poles/sources C k , p k from u on S 0

  14. Other problems: plasma shaping 1 0.8 0.6 ρ T 0.4 B t θ 0.2 z(m) 0 C T −0.2 −0.4 B ρ −0.6 −0.8 −1 1 1.5 2 2.5 3 3.5 4 r(m) Axi-symmetry, poloidal planar sections, cylindrical coordinates: Maxwell � Laplace (3D) � ∇ · ( σ ∇ u ) = 0 (2D) in annular domain (vacuum) between chamber and plasma u magnetic flux, σ = 1 / R CEA-IRFM, Tore Supra (WEST) Inverse problem: from pointwise measures of magnetic flux, field outside chamber...

  15. Other problems: plasma shaping ... find plasma boundary = level line of u tangent to limitor: 1 Γ (1) , 14 p Γ EF IT 0.8 p LIM APOLO 0.6 0.4 0.2 Z(m) 0 −0.2 −0.4 −0.6 −0.8 −1 1.5 2 2.5 3 R(m) • best quadratic constrained approximation by generalized analytic functions • expansion on toroidal harmonics basis • geometrical step (free boundary, Bernoulli) � Sch¨ odinger equation

  16. Other problems • Magnetic fields, macroscopic (Maxwell) � ∆ u ≃ ∇ · M IP: magnetization M to be recovered from measures (SQUID microscopy) of magnetic field or scalar potential u • Geodesy, geophysics (Newton) � ∆ u ≃ ̺ IP: features (anomalies) of Earth density ̺ to be recovered from measures of gravitational potential u (or geoid, level surface of u ) and other quantities (ground, air, ...)

  17. In conclusion... Various physical (inverse) problems (Maxwell, Newton equations) + assumptions lead to similar mathematical issues Given measures of u , find ̺ , where ̺ ( Y ) ��� ∆ u ≃ ̺ supported in Ω ⇔ u ( X ) ≃ | X − Y | dY + harmonic Ω Use of constructive best constrained approximation techniques for available boundary data, in classes of analytic or rational functions Well-posed problems, computationally efficient and robust resolution schemes

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