Научная статья на тему 'Asymptotic behavior of a delay differential model in Population dynamics'

Asymptotic behavior of a delay differential model in Population dynamics Текст научной статьи по специальности «Математика»

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Ключевые слова
DELAY DIFFERENTIAL EQUATIONS / RICHARD'S NONLINEARITY / OSCILLATION / STABILITY / ДИФФЕРЕНЦИАЛЬНЫЕ УРАВНЕНИЯ С ЗАДЕРЖКОЙ / НЕЛИНЕЙНОСТЬ РИЧАРДА / КОЛЕБАНИЕ / СТАБИЛЬНОСТЬ

Аннотация научной статьи по математике, автор научной работы — Berezansky L., Idels L.

Considered a scalar nonlinear delay differential equation of the certain species, for which suf-ficient conditions for oscillation of all solutions and asymptotical stability of the positive equilibrium are obtained.

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Текст научной работы на тему «Asymptotic behavior of a delay differential model in Population dynamics»

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DOI: 10.14529/ctcr160214

ASYMPTOTIC BEHAVIOR OF A DELAY DIFFERENTIAL MODEL IN POPULATION DYNAMICS

L. Berezansky1, L. Idels2, brznsky@cs.bgu.ac.il

1 Ben-Gurion University of the Negev, Beer-Sheva, Israel,

2 Vancouver Island University, Nanaimo, Canada

Considered a scalar nonlinear delay differential equation of the certain species, for which sufficient conditions for oscillation of all solutions and asymptotical stability of the positive equilibrium are obtained.

2000Mathematics Subject Classification: 34K11, 34K20, 34K60.

Keywords: Delay differential equations, Richard's nonlinearity, Oscillation, Stability.

1. INTRODUCTION

Consider the following logistic differential equation which is widely used in Population Dynamics

dN /„ N\

— = rN I 1--I.

dt V К)

Here N(t) is the size of a population, r > 0 is an intrinsic growth rate, K is a carrying capacity or saturation level. A variety of nonlinear differential equations has been developed to construct numerous models of Mathematical Biology [1-3].

In order to model processes in nature and engineering it is frequently required to know system states in the past. Depending on the phenomena under study the after-effects represent duration of some hidden processes. In general, DDE's exhibit much more complicated dynamics than ODE's since a time lag can change a stable equilibrium into an unstable one and make populations fluctuate, they provide a richer mathematical framework (compared with ordinary differential equations) for the analysis of biosystems dynamics.

Introduction of complex models of Population Dynamics, based on nonlinear DDE's, has received much attention in the literature in recent years.

The application of delay equations to biomodelling is in many cases associated with studies of dynamic phenomena like oscillations, bifurcations, and chaotic behavior. Time delays represent an additional level of complexity that can be incorporated in a more detailed analysis of a particular system. Delay logistic equation

appeared in 1948 in Hutchinson's paper [4]. Here NT = N(t - т), т > 0.

Autonomous equation (1) has been extensively investigated by numerous authors. The first paper on the oscillation of a nonautonomous logistic delay differential equation was published in [5]. Since this publication, the oscillation of the logistic DDE as well as its generalizations were studied by many mathematicians. Some of these results can be found in the monographs [6-8].

It is a well-known fact, that the traditional logistic model in some cases produces artificially complex dynamics, therefore it would be reasonable to get away from the specific logistic form in studying population dynamics and use more general classes of growth models.

For example, in order to drop an unnatural symmetry of the logistic curve, we consider the modified logistic form of Pella and Tomlinson [9], [10] or Richards' growth equation with delay

£ = г»[1-Ш (2)

According to [9], 0 < у < 1 for invertebrate populations (examples of invertebrates are insects, worms,

starfish, sponges, squid, plankton, crustaceans, and mollusks), and y > 1 for the vertebrate populations (these include amphibians, birds, fish, mammals, and reptiles).

In [11] the authors considered Eq. (2) with several delays. They obtained conditions for existence of positive solutions and studied so-called long time average stability. In this paper we obtain oscillation and local stability results for nonautonomous Eq. (2) with several delays.

2. PRELIMINARIES

Our object is a scalar nonlinear delay differential equation

N(t) = r(t)N(t)[a - №=ibkN(gk(t))Y], t > 0, (3)

under the following conditions:

(a1) r(t) is a Lebesgue measurable essentially bounded on [0, w) function, r(t) > 0.

(a2) gk : [0, w) ^ R are Lebesgue measurable functions, gk(t) < t, limt^w gk(t) = w, k = 1, ..., m.

(a3) a > 0, bk > 0, y > 0.

Together with (3) we consider for each t0 > 0 an initial value problem

N(t) = r(t)N(t)[a - №=ibkN(gk(t))Y], t > t0, (4)

N(t) = (pit), t < t0, N(to) = N0. (5)

We also assume that the following hypothesis holds

(a4) y : (-w, t0) ^ R is a Borel measurable bounded function, y(t) > 0, N0 > 0. Definition. A locally absolutely continuous function x : R ^ R is called a solution of problem (4), (5), if it satisfies equation (4) for almost all t E [t0, w) and equalities (5) for t < t0.

Lemma 1 [11] Suppose Conds.(a1)-(a4) hold for equation (3). Then the problem (4), (5) has a unique positive solution N(t), t > t0.

3. OSCILLATION CRITERIA

Definition. We say that a function y(t) is nonoscillatory about a number K if y(t) - K is eventually

positive or eventually negative. Otherwise y(t) is oscillatory about K.

i

aY

Eq. (3) has a positive equilibrium N* = —-. In this section we study oscillation of solutions of

Lk=ibk

(3) about N *.

We will present here some lemmas which will be used in this section. Consider the linear delay differential equation

m + EU rk(t)x(hkit)) = 0,t>0, (6)

and the differential inequalities

m + Elk=irk(t)x(hkit)) <0,t>0, (7)

m + Elk=irkit)x(hkit)) >0, t>0. (8)

Lemma 2 [6] Let (a1)-(a2) hold for the parameters of Eq. (6). Then the following statements are equivalent:

1. There exists a non-oscillatory solution of equation (6).

2. There exists an eventually positive solution of the inequality (7).

3. There exists an eventually negative solution of the inequality (8). Lemma 3 [6] Let (a1)-(a2) hold for the parameters of Eq. (6). If

Umt^ inf CaXkhkit)Ei=iriis)ds >1/e, (9)

then all the solutions of equation (6) are oscillatory. Theorem 1 Suppose (a1)-(a4) hold and

£ r(s)ds = n. (10)

Then for every nonoscillatory solution N(t) of (3) we have

limt_ N(t) = N*. (11)

Proof. After a substitution

N(t) = N*(1+x(t)) (12)

Eq. (3) reduced to the following equation

Березанский Л., Айделс Л.

Асимптотическое поведение дифференциальной модели с задержкой в демографической динамике

x(t) = -ar(t)(1+x(t))[(j£=1Bk(1 + x(gk(t)))) -l],t>0, (13)

where

Bk=^r~- (14)

Condition (a3) implies that Bk > 0, £/T=i Bk = l.

The zero solution is an equilibrium of Eq. (13), which suits to the equilibrium N of Eq. (3). By Lemma 1 any solution of (3) is positive. Then for any solution of (13) we have 1 + x(t) > 0. To prove the theorem we have to show that for every nonoscillatory about zero solution of (13) we have limt^œ x(t) = 0. (15)

Suppose x(t) is a nonoscillatory solution of (13). Without loss of generality we can assume that x(t) > 0, t > 0. Hence

(5X=1 Bk(1 + x{gk(t))))Y -1 > ŒZ=iBky-1 = 0. Then x(t) < 0 and hence there exists

limt^œ x(t) = I. Suppose l > 0. Equality (13) implies

x(t) = x(0) -afj;r(s)(1 + x(s))[(Zf=1Bk(1 + x(gk(s))))y - 1]ds. (16)

If t ^ +œ then the right hand side of (16) tends to -œ, the left hand side has a finite limit. This contradiction proves the theorem.

Theorem 2 Suppose conditions (a1)-(a4) and (10) hold, y > 1 and there exists e > 0 such that all solutions of linear differential equation

y(t) = -ayr(t)(1 - e) Bky(gk(t)) (17)

are oscillatory, were Bk are denoted by (14).

Then all solutions of (3) are oscillatory about N .

Proof. It is sufficient to prove, that all solutions of (13) are oscillatory about zero. Suppose the exists a nonoscillatory solution x of (13). Without loss of generality we can assume, that x(t) > 0, t > 0. Theorem 1 implies, that for some t0 > 0 and for t > t0 we have 0 < x(t) < e. Consider the following function

f(u1.....um) = QJ=1 Bk(1 + uk)Y - 1 -Yliï=iBkuk.

We have

= Y(IZ=iBk(1 + uk))Y~1Bk - YBk,

Hence

f(0.....0) = .....0) = .....0) = - 1)BiBl

Taylor's Formula implies that

Г(щ.....Um) = y(y - !)Y^L1'Z1jL1BiBjUiUj + о (Au),

where

Au = p™=1u2k,\im^o°-f = 0.

Then for uk > 0, k = 1, ..., m and Au sufficiently small fuh ..., um) > 0. Hence for e small enough we have x(t) < -ayr(t)(1 - e)2fc=iBkx(gk(s)), t > 0. Lemma 2 implies now that Eq. (17) has a nonoscillatory solution. We have a contradiction with our assumption. The theorem is proven.

Corollary 2.1 Suppose conditions (a1)-(a4) and (10) hold, y > 1,

limt-» infarCaXkgkit)r(s)dS>1/e. ^ (18)

Then all solutions of (3) are oscillatory about N . Proof Inequality (18) implies, that for some e > 0

limt^> inf W (1 - CaXkgk(t) Bi r(s)ds > 1/e. Lemma 3 and Theorem 2 imply this corollary.

4. ASYMPTOTIC STABILITY

Consider a general nonlinear delay differential equation

x(t) = f(t,x(t),x(g1(t)).....x(gm(t))), t > 0, (19)

with the initial function and the initial value

x(t) = q>(t), t < 0, x(0) = x0, (20)

under the following conditions:

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(b1)f(t, u0, uu ..., um) satisfies Caratheodory conditions: it is Lebesgue measurable in the first argument and continuous in other arguments,f(t, 0, ..., 0) = K; (b2) gk(t) are Lebesgue measurable functions, gk(t) < t,supt^0[t — gk(t)] < œ;

(b3) y : (-œ, 0) ^ R is a Borel measurable bounded function.

We will assume that the initial value problem (19)-(20) has a unique global solution x(t), t > 0. Definition. We will say that the equilibrium K of Eq. (19) is (locally) stable, if for any e > 0 there exists a > 0 such that for every initial conditions |x(0)| < a0, |y(t)| < a0, a0 < a, for the solution x(t) of (19)-(20) we have lx(t) - K| < e, t > 0.

If, in addition, limt^œ(x(t) — K) = 0, then the equilibrium K of Eq. (19) is (locally) asymptotically stable.

Suppose there exist M > 0, y > 0 such that lx(t) — Kl< Mexp[—yt}(lx(0)l + supt<0 l<p(t)\) for all x(0) and y(t) such that |x(0)| + supt<0 l<p(t)l is sufficiently small. Then we will say that the equilibrium K of Eq. (19) is exponentially stable.

Lemma 4 [12] Suppose (a1), (b2), (b3) hold for linear equation (6) and limt^œ supY!k=1rk(t)(t — hk(t)) < 1. Then Eq. (6) is exponentially stable.

Lemma 5 [13], [14] Suppose that (b1)-(b3) hold,for sufficiently small u if \uk\ < u, k = 0, ..., m then

If(t,Uq, ...,um) — (i,K>->K)uk| = o(u),

where limu^0 = 0.

" " u

If the linear equation

y(t)= ZZU^M.....0)y(gk(t))

is exponentially stable, then the equilibrium K of Eq. (19) is locally asymptotically stable. Theorem 3 Suppose that for equation (3) Conds. (a1), (a3), (b2), (b3) hold and limt^œ sup ayr(t) Bk(t — gk(t)) < 1. (21)

Then equilibrium N of Eq.(3) is asymptotically stable.

Proof. A substitution N(t) = N (1 + x(t)) implies that equilibrium N of Eq. (3) is asymptotically stable if and only if the zero solution of (13) is asymptotically stable. Lemma 4 and inequality (21) imply that linear equation x(t) = —ayr(t)Y^=1Bkx(gk(t)) is exponentially stable. Lemma 5 implies now that the zero solution of (13) is asymptotically stable.

References

1. Brauer F., Castillo-Chavez C. Mathematical Models in Population Biology and Epidemiology, Springer-Verlag, 2001.

2. Kot M. Elements of Mathematical Ecology, Cambridge Univ. Press, 2001.

3. Baker C.T.H. Retarded Differential Equations, J. Comp. Appl. Math, 2000, 125, pp. 309-335.

4. Hutchinson G.E. Circular Causal Systems in Ecology, Ann. N.Y. Acad. Sci., 50, pp. 221-246.

5. Zhang B.G., Gopalsamy K. Oscillation and Nonoscillation in a Nonautonomous Delay-Logistic Equation, Quart. Appl. Math, 1988, XLVI, pp. 267-273.

6. Gyori I., Ladas G. Oscillation Theory of Delay Differential Equations, 1991, Clarendon Press, Oxford.

7. Gopalsamy K. Stability and Oscillation in Delay Differential Equations of Population Dynamics, 1992, Kluwer Academic Publishers, Dordrecht, Boston, London.

Березанский Л., Айделс Л.

Асимптотическое поведение дифференциальной модели с задержкой в демографической динамике

8. Erbe L.N., Kong Q., Zhang B.G. Oscillation Theory for Functional Differential Equations, 1995, Marcel Dekker, New York, Basel.

9. Tsoularis A., Wallace J. Analysis of Logistic Growth Models. Mathematical Biosciences, 2002, 179,pp.21-55.

10. Pella J., Tomlinson P. A Generalized Stock-Production Model. Inter.-Am. Trop. Tuna Comm. Bull., 1969, 13, pp. 421-496.

11. Miguel Jose J., Ponosov A., Shindiapin A. On a Delay Equation with Richards' Nonlinearity. Proceedings of the Third World Congress of Nonlinear Analysts, Part 6 (Catania, 2000). Nonlinear Anal, 2001, 47, no. 6, pp. 3919-3924.

12. Krisztin T. On Stability Properties for One-Dimensional Functional-Differential Equations. Funkcial. Ekvac, 1991, 34, no. 2, pp. 241-256.

13. Bellman R., Cooke K. Differential-Difference Equations. Academic Press, New York - London 1963.462 p.

14. Kolmanovskii V., Myshkis A., Introduction to the Theory and Applications of Functional-Differential Equations. Mathematics and Its Applications, 463. Kluwer Academic Publishers, Dordrecht, 1999.648 p.

Received 18 March 2016

УДК 51-77 DOI: 10.14529/^сг160214

АСИМПТОТИЧЕСКОЕ ПОВЕДЕНИЕ

ДИФФЕРЕНЦИАЛЬНОЙ МОДЕЛИ

С ЗАДЕРЖКОЙ В ДЕМОГРАФИЧЕСКОЙ ДИНАМИКЕ

Л. Березанский1, Л. Айделс2

1 Университет имени Бен-Гуриона, Беэр-Шева, Израиль,

2 Университет острова Ванкувер, Нанаймо, Канада

Рассмотрено скалярное нелинейное дифференциальное уравнение определенного типа с задержкой, для которого получены достаточные условия колебания всех решений и асимптотической стабильности положительного равновесия.

Ключевые слова: дифференциальные уравнения с задержкой, нелинейность Ричарда, колебание, стабильность.

Березанский Леонид, отделение математики, Университет имени Бен-Гуриона, Беэр-Шева, Израиль; brznsky@cs.bgu.ac.il.

Айделс Лев, отделение математики, Университет острова Ванкувер, Нанаймо, Канада.

Поступила в редакцию 18 марта 2016 г.

ОБРАЗЕЦ ЦИТИРОВАНИЯ

Berezansky, L. Asymptotic Behavior of a Delay Differential Model in Population Dynamics / L. Berezansky, L. Idels // Вестник ЮУрГУ. Серия «Компьютерные технологии, управление, радиоэлектроника». - 2016. -Т. 16, № 2. - С. 137-141. DOI: 10.14529/ctcr160214

FOR CITATION

Berezansky L., Idels L. Asymptotic Behavior of a Delay Differential Model in Population Dynamics. Bulletin of the South Ural State University. Ser. Computer Technologies, Automatic Control, Radio Electronics, 2016, vol. 16, no. 2, pp. 137-141. DOI: 10.14529/ctcr160214

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