无限维种群结构和时间异质性的谱界和再现数

IF 1.9 4区 数学 Q1 MATHEMATICS, APPLIED SIAM Journal on Applied Mathematics Pub Date : 2009-05-13 DOI:10.1137/080732870
H. Thieme
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引用次数: 417

摘要

准正矩阵的谱界是用常微分方程组表述的种群模型中至关重要的数学阈值参数:变分矩阵在0处的谱界的符号决定了在低密度下种群是灭绝还是增长。另一个重要的阈值参数是再现数$\mathcal{R}$,它是相关正矩阵的谱半径。众所周知,谱界和$\mathcal{R}-1$具有相同的符号,只要矩阵具有特定的形式。将谱界与再现数的关系推广到具有无限维状态空间的模型中,并在可解正闭线性算子的谱界与正有界线性算子的谱半径之间成立。我们还推广了与离散时间模型相关的两个正线性算子的谱半径之间的类似关系。我们举例说明一般理论……
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Spectral Bound and Reproduction Number for Infinite-Dimensional Population Structure and Time Heterogeneity
Spectral bounds of quasi-positive matrices are crucial mathematical threshold parameters in population models that are formulated as systems of ordinary differential equations: the sign of the spectral bound of the variational matrix at 0 decides whether, at low density, the population becomes extinct or grows. Another important threshold parameter is the reproduction number $\mathcal{R}$, which is the spectral radius of a related positive matrix. As is well known, the spectral bound and $\mathcal{R}-1$ have the same sign provided that the matrices have a particular form. The relation between spectral bound and reproduction number extends to models with infinite-dimensional state space and then holds between the spectral bound of a resolvent-positive closed linear operator and the spectral radius of a positive bounded linear operator. We also extend an analogous relation between the spectral radii of two positive linear operators which is relevant for discrete-time models. We illustrate the general theory...
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来源期刊
CiteScore
3.60
自引率
0.00%
发文量
79
审稿时长
12 months
期刊介绍: SIAM Journal on Applied Mathematics (SIAP) is an interdisciplinary journal containing research articles that treat scientific problems using methods that are of mathematical interest. Appropriate subject areas include the physical, engineering, financial, and life sciences. Examples are problems in fluid mechanics, including reaction-diffusion problems, sedimentation, combustion, and transport theory; solid mechanics; elasticity; electromagnetic theory and optics; materials science; mathematical biology, including population dynamics, biomechanics, and physiology; linear and nonlinear wave propagation, including scattering theory and wave propagation in random media; inverse problems; nonlinear dynamics; and stochastic processes, including queueing theory. Mathematical techniques of interest include asymptotic methods, bifurcation theory, dynamical systems theory, complex network theory, computational methods, and probabilistic and statistical methods.
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