2023
DOI: 10.3934/dcdsb.2022160
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Stability of the chemostat system including a linear coupling between species

Abstract: <p style='text-indent:20px;'>In this paper, we consider a resource-consumer model taking into account a linear coupling between species (with constant rate). The corresponding operator is proportional to a discretization of the Laplacian in such a way that the resulting dynamical system can be viewed as a regular perturbation of the classical chemostat system. We prove the existence of a unique locally asymptotically stable steady-state for every value of the transfer-rate and every value of the dilution… Show more

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Cited by 2 publications
(27 citation statements)
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“…where D s ∈ R n×n is the diagonal matrix D s ∶= diag(𝜇 1 (s), … , 𝜇 n (s)) and u is the Perron root of the quasi-positive irreducible matrix § A 𝜀,s ∶= D s + 𝜀M ∈ R n×n , Note that the first equality in (7) defines the vector x as the Perron vector of A 𝜀,𝜎 up to a positive multiplicative constant, that is, x = 𝜅a 𝜀,𝜎 for some 𝜅 > 0 where a 𝜀,𝜎 is the unitary Perron vector of A 𝜀,𝜎 . 17 The second equality in (7) allows to uniquely define the eigenvector vector x as x = 1 𝜅 a 𝜀,𝜎 where 𝜅 ∶= a 𝜀,𝜎 ⋅ 1, 1 ∶= (1, … , 1) ∈ R n , and ⋅ denotes the standard inner product of R n .…”
Section: Statement Of the Problem And Main Resultsmentioning
confidence: 99%
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“…where D s ∈ R n×n is the diagonal matrix D s ∶= diag(𝜇 1 (s), … , 𝜇 n (s)) and u is the Perron root of the quasi-positive irreducible matrix § A 𝜀,s ∶= D s + 𝜀M ∈ R n×n , Note that the first equality in (7) defines the vector x as the Perron vector of A 𝜀,𝜎 up to a positive multiplicative constant, that is, x = 𝜅a 𝜀,𝜎 for some 𝜅 > 0 where a 𝜀,𝜎 is the unitary Perron vector of A 𝜀,𝜎 . 17 The second equality in (7) allows to uniquely define the eigenvector vector x as x = 1 𝜅 a 𝜀,𝜎 where 𝜅 ∶= a 𝜀,𝜎 ⋅ 1, 1 ∶= (1, … , 1) ∈ R n , and ⋅ denotes the standard inner product of R n .…”
Section: Statement Of the Problem And Main Resultsmentioning
confidence: 99%
“…• In Section 3.1, we apply the PMP on (17) which allows us to derive properties on optimal controls.…”
Section: Optimization Of Microbial Productionmentioning
confidence: 99%
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