Abstract
Suppose we have two vector fields \(f,g: \mathbb{R}^{n} \rightarrow \mathbb{R}^{n}\) and the differential equations
Notes
- 1.
This situation corresponds to an ultimate discretization of the diffusion equation, with only two grid points.
- 2.
We replace p, q by p∕ε, q∕ε and let ε → 0.
- 3.
There are other notations for coupled systems. Hale [126] starts from systems \(\dot{z}_{j} = f_{j}(z_{j})\), \(j \in \mathbb{Z}\), in \(\mathbb{R}^{n}\), collects the z j in a “row” vector z, and the f j into f j (z) = ( f 1(z 1), …, f m (z m ), and then, with a symmetric tridiagonal coupling matrix A, writes the system as \(\dot{z} = Az + f(z)\).
- 4.
Notice that in this “additive” equation and in the “multiplicative” equation \(\dot{V } = AV P\) the operators V → AV and V + VP commute. Thus, if μ i , λ j are the eigenvalues of A, P, respectively, then μ i + λ j and μ i λ j are the eigenvalues of the operators V → AV + VP and AV P, respectively.
- 5.
It suffices that each matrix has a unique positive Perron vector.
- 6.
An example may be the European starling which was introduced in North America without effect until flocks of sixty to one hundred birds were settled in New York Central Park around 1890. Now there are an estimated 200 million starlings in North America.
- 7.
In the thermodynamic interpretation of the heat equation the diffusion coefficient is k∕(cρ) where k is heat conductivity, c is the specific heat capacity, and ρ the specific mass.
- 8.
This assumption is called the first Fickian law, the diffusion equation itself the second Fickian law. In an experimental setting, the first Fickian law does not hold for very small gradients. This assumption leads to the unwanted effect of infinitely fast propagation in the heat equation (its parabolic character as opposed to hyperbolic).
- 9.
- 10.
The Schur–Cohn criterion, from 1914/1922, see [205], often attributed to E.I. Jury 1964,is the analogue of the Routh–Hurwitz criterion for discrete time systems.
- 11.
These inequalities imply detA < 1.
- 12.
We use the formula for the real part of the square root of a complex number \(\mathfrak{R}\sqrt{\xi +i\eta } = [\xi +\sqrt{\xi ^{2 } +\eta ^{2}}]^{1/2}/\sqrt{2}\).
- 13.
We underline that here \(\mathbb{R}_{+}^{n}\) is the positive cone in the tangent space. It could be that also the underlying system for x preserves positivity. But such property would not be relevant here.
- 14.
- 15.
In [126], on coupled systems, it is assumed that the small system and the coupled systems have compact global attractors.
- 16.
This section is almost identical with the paper [105].
References
Allee, W.C.: Animal Aggregations. A Study in General Sociology. University of Chicago Press, Chicago (1931)
Allen, C., et al.: Isolation of quiescent and nonquiescent cells from yeast stationary-phase cultures. J. Cell Biol. 174(1), 89–100 (2006). http://www.yeastgenome.org/reference/S000117025/overview
Armstrong, R.A., McGehee, R.: Competitive exclusion. Am. Nat. 115(2), 151–170 (1980)
Berman, A., Plemmons, R.J.: Nonnegative Matrices in the Mathematical Sciences. Academic, New York (1979)
Bilinsky, L., Hadeler, K.P.: Quiescence stabilizes predator-prey relations. J. Biol. Dyn. 3(2–3), 196–208 (2009)
Collet, P., Eckmann, J.-P., Lanford, O.E.: Universal properties of maps on an interval. Commun. Math. Phys. 76(3), 211–254 (1980)
Cross, G.W.: Three types of matrix stability. Linear Algebra Appl. 20(3), 253–263 (1978)
Devaney, R.L.: An Introduction to Chaotic Dynamical Systems. Benjamin Cummings, Menlo Park (1986)
Ermentrout, B., Campbell, S.J., Oster, G.: A model for shell patterns based on neural activity. Veliger 28, 369–388 (1986)
Ewton, D.Z., Hu, J., Vilenchik, M., Deng, X., Luk K.-C., Polonskaia, A., Hoffman, A.-F., Zipf, K., Boylan, J.F., Friedman, E.A.: Inactivation of mirk/dyrk1b kinase targets quiescent pancreatic cancer cells. Mol. Cancer Ther. 10(11), 2104–2114 (2011). https://www.ncbi.nlm.nih.gov/pubmed/21878655
Feigenbaum, M.J.: Quantitative universality for a class of nonlinear transformations. J. Stat. Phys. 19(1), 25–52 (1978)
Fürth, R.: Die Brownsche Bewegung bei Berücksichtigung einer Persistenz der Bewegungsrichtung. Mit Anwendungen auf die Bewegung lebender Infusorien. Z. Physik 2, 244–256 (1920)
Gantmacher, F.R.: The Theory of Matrices, vols. 1, 2. Chelsea, New York (1959)
Gierer, A.: The Hydra model - a model for what? Int. J. Dev. Biol. 56, 437–445 (2012)
Gierer, A., Meinhardt, H.: A theory of biological pattern formation. Kybernetik 12, 30–39 (1972)
Glansdorff, P., Prigogine, I.: Thermodynamic Theory of Structure, Stability and Fluctuations. Wiley, London (1971)
Goldstein, S.: On diffusion by discontinuous movements, and the telegraph equation. Q. J. Mech. Appl. Math. 4, 129–156 (1951)
Gonze, D., Abou-Jaoudé, W.: The Goodwin model: Behind the Hill function. PLoS ONE 8(8), e69,573 (2013)
Guckenheimer, J., Holmes, P.: Nonlinear Oscillations, Dynamical Systems, and Bifurcations of Vector Fields. Applied Mathematical Sciences, vol. 42. Springer, New York (1990)
Hadeler, K.P.: Quiescent phases and stability. Linear Algebra Appl. 428(7), 1620–1627 (2008)
Hadeler, K.P.: Quiescent phases and stability in discrete time dynamical systems. Discrete Contin. Dyn. Syst. Ser. B 20(1), 129–152 (2015)
Hadeler, K.P., Hillen, T.: Coupled dynamics and quiescent phases. In: Aletti, G., Burger, M., Micheletti, A., Morale, D. (eds.) Math Everywhere, pp. 7–23. Springer, Berlin (2007)
Hadeler, K.P., Lewis, M.A.: Spatial dynamics of the diffusive logistic equation with a sedentary compartment. Can. Appl. Math. Q. 10(4), 473–499 (2002)
Hadeler, K.P., Lutscher, F.: Quiescent phases with distributed exit times. Discrete Contin. Dyn. Syst. Ser. B 17(3), 849–869 (2012)
Hadeler, K.P., Thieme, H.R.: Monotone dependence of the spectral bound on the transition rates in linear compartmental models. J. Math. Biol. 57(5), 697–712 (2008)
Hale, J.K.: Diffusive coupling, dissipation, and synchronization. J. Dyn. Differ. Equ. 9(1), 1–52 (1997)
Hassard, B.D., Kazarinoff, N.D., Wan, Y.H.: Theory and Applications of Hopf Bifurcation. London Mathematical Society Lecture Notes Series, vol. 41. Cambride University Press, Cambride (1981)
Hazewinkel, M.E.: Trotter product formula. In: Encyclopedia of Mathematics. Springer, Berlin (2001)
Hirsch, M.W.: Systems of differential equations which are competitive or cooperative. I. limit sets. SIAM J. Math. Anal. 13(2), 167–179 (1982)
Hirsch, M.W., Smale, S.: Differential Equations, Dynamical Systems, and Linear Algebra. Pure and Applied Mathematics, vol. 60. Academic, New York/London (1974)
Hofbauer, J., Sigmund, K.: The Theory of Evolution and Dynamical Systems. London Mathematical Society Student Texts, vol. 7. Cambridge University Press, Cambridge (1988)
Holmes, E.E.: Are diffusion models too simple? A comparison with telegraph models of invasion. Am. Nat. 142(5), 779–795 (1993)
Horvath, J., Szalai, I., De Kepper, P.: An experimental design method leading to chemical Turing patterns. Science 324, 772–775 (2009)
Johnson, C.R.: Sufficient conditions for D-stability. J. Econ. Theory 9(1), 53–62 (1974)
Johnson, R., Tesei, A.: On the D-stability problem for real matrices. Boll. UMI 8, 2-B, 299–314 (1999)
Kac, M.: A stochastic model related to the telegrapher’s equation. Reprinted in Rocky Mt. Math. J. 4, 497–509 (1956/1974)
Körös, E., Field, R.J., Noyes, R.M.: Oscillations in chemical systems. II. Thorough analysis of temporal oscillation in the bromate-cerium-malonic acid system. J. Am. Chem. Soc. 94, 8649–8664 (1972)
Kuznetsov, Y.A.: Elements of Applied Bifurcation Theory. Applied Mathematical Sciences, vol. 112, 3rd edn. Springer, New York (2004)
Lasota, A., Mackey, M.C.: Chaos, Fractals, and Noise. Applied Mathematical Sciences, vol. 97. Springer, New York (1994)
Lewis, M.A., Schmitz, G.: Biological invasion of an organism with separate mobile and stationary states: modelling and analysis. Forma 11, 1–25 (1996)
Li, T.Y., Yorke, J.A.: Period three implies chaos. Am. Math. Mon. 92, 985–992 (1975)
Lin, C.-S., Takagi, W.-M.: Large amplitude stationary solutions to a chemotaxis system. J. Differ. Equ. 72, 1–27 (1988)
Logofet, D.: Matrices and Graphs: Stability Problems in Mathematical Ecology. CRC Press, Boca Raton (1993)
Maini, P.K., Woolley, T.E., Baker, R.E., Gaffney, E.A., Lee, S.S.: Turing’s model for biological pattern formation and the robustness problem. Interface Focus 2, 487–496 (2012)
Malik, T., Smith, H.: A resource-based model of microbial quiescence. J. Math. Biol. 53, 231–252 (2006)
Marden, M.: The Geometry of the Zeroes of a Polynomial in a Complex Variable. AMS, New York (1949)
May, R.M., Oster, G.F.: Bifurcations and dynamic complexity in simple ecological models. Am. Nat. 110, 573–599 (1976)
McLachlan, R.I., Quispel, G.R.W.: Splitting methods. Acta Numer. 11, 341–434 (2002)
Meinhardt, H.: The Algorithmic Beauty of Sea Shells. Springer, New York (1995)
Murray, J.D.: Mathematical Biology. Springer, Berlin (1989)
Murray, J.D., Myerscough, M.R.: Pigmentation pattern formation on snakes. J. Theor. Biol. 149, 39–360 (1991)
Oki, T., Nishimura, K., Kitaura, J., Togami, K., Maehara, A., Izawa, K., Sakaue-Sawano, A., Niida, A., Miyano, S., Aburatani, H., Kiyonari, H., Miyawaki, A., Kitamura, T.: A novel cell-cycle-indicator, mVenus-p27K-, identifies quiescent cells and visualizes G0-G1 transition. Sci. Rep. 6(4), 4012 (2014). doi: 10.1038/srep04012. https://www.ncbi.nlm.nih.gov/pubmed/24500246
Satnoianu, R.A., van den Driessche, P.: Some remarks on matrix stability with applications to Turing instability. Linear Algebra Appl. 398, 69–74 (2005)
Sekimura, T., Madzvamuse, A., Wathen, A.J., Maini, P.K.: A model for colour pattern formation in the butterfly wing of Papilio dardanus. Proc. R. Soc. Lond. B 267, 851–859 (2000)
Sharkovski, A.N.: The reducibility of a continuous function of a real variable and the structure of the stationary points of the corresponding iteration process. Dokl. Akad. Nauk RSR 139, 1067–1070 (1961)
Smale, S., Williams, R.F.: The qualitative analysis of a difference equation of population growth. J. Math. Biol. 3, 1–4 (1976)
Smith, H.: Monotone Dynamical Systems: An Introduction to the Theory of Competitive and Cooperative Systems. Mathematical Surveys and Monographs, vol. 41. AMS, Providence, RI (1995)
Smith, H.L., Waltman, P.: The Theory of the Chemostat. Cambridge University Press, Cambridge (1995)
Turing, A.M.: The chemical basis of morphogenesis. Philos. Trans. R. Soc. Lond. B 237, 37–72 (1952)
Tyson, J.: The Belousov-Zhabotinskii Reaction. Lecture Notes in Biomathematics, vol. 10. Springer, Berlin (1980)
Ulam, S.: Monte Carlo calculations in problems of mathematical physics. In: Modern Mathematics for the Engineer: Second Series, pp. 261–281. McGraw-Hill, New York (1961)
van Strien, S., de Melo, W.: One-Dimensional Dynamics. Ergebnisse der Mathematik und ihrer Grenzgebiete, vol. 3. Springer, Berlin (1993)
Volkening, A., Sandstede, B.: Modelling stripe formation in zebra fish: an agent-based approach. J. R. Soc. Interface 12(112), 20 150 812 (2015)
Zaikin, A.N., Zhabotinsky, A.M.: Concentration waves propagating in two-dimensional liquid phase self-oscillating system. Nature 225, 535–537 (1970)
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Hadeler, KP. (2017). Coupling and Quiescence. In: Topics in Mathematical Biology. Lecture Notes on Mathematical Modelling in the Life Sciences. Springer, Cham. https://doi.org/10.1007/978-3-319-65621-2_1
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