2007
DOI: 10.1088/0266-5611/23/3/012
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On the inverse problem for a size-structured population model

Abstract: We consider a size-structured model for cell division and address the question of determining the division (birth) rate from the measured stable size distribution of the population. We formulate such question as an inverse problem for an integro-differential equation posed on the half line. We develop firstly a regular dependency theory for the solution in terms of the coefficients and, secondly, a novel regularization technique for tackling this inverse problem which takes into account the specific nature of … Show more

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Cited by 46 publications
(121 citation statements)
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“…Secondly, since the measure N ε is supposed to be in L 2 , there is no way of directly controlling ∂ ∂ x (gN ε ) even if g is known (see Section 2 of [2] for a discussion, or yet [1]). To overcome this difficulty, two regularization methods were proposed in [2,3] for the particular case of division into two equal cells, i.e. when κ(x, y) = δ x=y/2 , a third method has also been proposed in [11], and a statistical treatment to estimate the derivative in [7].…”
Section: The Inverse Problem and Its Regularizationmentioning
confidence: 99%
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“…Secondly, since the measure N ε is supposed to be in L 2 , there is no way of directly controlling ∂ ∂ x (gN ε ) even if g is known (see Section 2 of [2] for a discussion, or yet [1]). To overcome this difficulty, two regularization methods were proposed in [2,3] for the particular case of division into two equal cells, i.e. when κ(x, y) = δ x=y/2 , a third method has also been proposed in [11], and a statistical treatment to estimate the derivative in [7].…”
Section: The Inverse Problem and Its Regularizationmentioning
confidence: 99%
“…None of the three regularization methods of [2,3,11] can be directly applied here: indeed, they strongly used the fact that for the kernel κ = δ x= y 2 , the left-hand side of Equation (23) simplifies in 4BN (2x) − B(x), and can be viewed as an equation written in y = 2x. Then, a central point of the proofs in [2] as well as in [3] or [11] is the use of the Lax-Milgram theorem for the coercitive operator L : H → 4H(y) − H( y 2 ). Nothing such as that can be written here, and the main difficulty, numerically as well as theoretically, is to deal with a nonlocal kernel κ(x, y)H(y)dy.…”
Section: The Inverse Problem and Its Regularizationmentioning
confidence: 99%
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