2015
DOI: 10.1002/mma.3511
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On a nonlinear renewal equation with diffusion

Abstract: In this paper, we consider a nonlinear age structured McKendrick-von Foerster population model with diffusion term. Here we prove existence and uniqueness of the solution of the equation. We consider a particular type of nonlinearity in the renewal term and prove Generalized Relative Entropy type inequality. Longtime behavior of the solution has been addressed for both linear and nonlinear versions of the equation. In linear case, we prove that the solution converges to the first eigenfunction with an exponent… Show more

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Cited by 10 publications
(23 citation statements)
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“…and finally by the continuity of p we obtain thatp is a solution to (12). Using the standard arguments it is straightforward to show the existence and uniqueness of a solution n ∈ X , to (11) (see [11], for instance). Hence the map T is well defined.…”
Section: 1mentioning
confidence: 96%
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“…and finally by the continuity of p we obtain thatp is a solution to (12). Using the standard arguments it is straightforward to show the existence and uniqueness of a solution n ∈ X , to (11) (see [11], for instance). Hence the map T is well defined.…”
Section: 1mentioning
confidence: 96%
“…The key ingredient in the proof of uniqueness result is the L 1 -stability estimate that we prove here. Let (m,q) and (n,p) be solutions to (11) with m(0, s; σ) = m 0 (s; σ), n(0, s; σ) = n 0 (s; σ), By the mean value theorem we obtain…”
Section: 1mentioning
confidence: 99%
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“…Similarly, denote the first, second and third terms on the right-hand side by J 1 , J 2 , and J 3 , respectively. With this notation Equation 13 becomes…”
Section: Stability Estimatesmentioning
confidence: 99%
“…Moreover, the long‐time behavior of the solution to (1) was also studied in detail using the Generalized Relative Entropy inequality. Existence, uniqueness, and asymptotic behavior of a solution to a nonlinear version of (1) were studied in . In , Iannelli et al considered the McKendrick–von Foerster equation without the diffusion term.…”
Section: Introductionmentioning
confidence: 99%