2013
DOI: 10.1088/0266-5611/29/8/085014
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Time reversal for radiative transport with applications to inverse and control problems

Abstract: In this paper we develop a time reversal method for the radiative transport equation to solve two problems: an inverse problem for the recovery of an initial condition from boundary measurements, and the exact boundary controllability of the transport field with finite steering time. Absorbing and scattering effects, modeled by coefficients with low regularity, are incorporated in the formulation of these problems. This time reversal approach leads to a convergent iterative procedure to reconstruct the initial… Show more

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Cited by 7 publications
(26 citation statements)
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“…Following the control theory for transport equations developed in [1,3,38], we can show, under reasonable assumptions, the existence of sources g x such that u x = K I (u x ) holds for each pair (η, σ a,xf ) ∈ A. Such sources, however, might be complicated, for instance we might need to solve a control problem, to construct in practical applications.…”
Section: The Reconstruction Of σ Axfmentioning
confidence: 99%
“…Following the control theory for transport equations developed in [1,3,38], we can show, under reasonable assumptions, the existence of sources g x such that u x = K I (u x ) holds for each pair (η, σ a,xf ) ∈ A. Such sources, however, might be complicated, for instance we might need to solve a control problem, to construct in practical applications.…”
Section: The Reconstruction Of σ Axfmentioning
confidence: 99%
“…Note that other control theory results for the time-dependent RTE have had applications to inverse problems as well. See for example [1,2].…”
Section: Introductionmentioning
confidence: 99%
“…Given arbitrary φ ∈ V 0 , the goal of the control problem is to find an outflow control condition η ∈ L 2 ([0, τ ]; T + ) to drive the solution ψ of ( 18)-( 20) from ψ(τ ) = 0 to ψ(0) = φ. The well-posedness of the control problem is described in the following theorem which is a direct consequence of [1].…”
Section: Sebastian Acostamentioning
confidence: 99%
“…Now we state the inverse problem for transient transport along with our main results. Our proof, presented in Section 3, is based on tools from control theory developed in [1,25]. We break the problem into two steps.…”
Section: 2mentioning
confidence: 99%
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