Acta Mathematica Academiae Paedagogicae Nyı́regyháziensis 25(1) (2009), 45–54 www.emis.de/journals ISSN 1786-0091 DYNAMICS OF SPECIES IN A NONAUTONOMOUS LOTKA-VOLTERRA SYSTEM TA VIET TON Abstract. In this paper, we study a Lotka-Volterra model with two predators and one prey. The explorations involve the permance, extinction, the existence, uniqueness and global asymptotic stability of a positive solution. 1. Introduction In this paper, we consider the Lotka-Volterra model with BeddingtonDeAngelis functional response of two predators and one prey. cxy 0 x = x [a − bx] − − mxz α + βx + γy 0 f xy y = −dy + − nyz (1) α + βx + γy hz [mx + ny] 0 z = −gz + ξ + ηz Here x(t), y(t) and z(t) represent the population density of the two predator species, and of the prey at times t, respectively. a(t), b(t), c(t), d(t), m(t), f (t), n(t), g(t), h(t), β(t), γ(t), η(t) are continuous and bounded above and below by positive constants; α(t), ξ(t) are continuous and nonnegative. This paper is organized as follows. Section 2 provides some definitions and notations. In section 3 we state our main result of this paper for problem (1). 2. Definition and notation In this section we summarize the basic definitions and facts which are used later (cf. [7]). Let R3+ := {(x, y, z) ∈ R3 |x > 0, y > 0, z > 0}. For a bounded 2000 Mathematics Subject Classification. 34D05. Key words and phrases. Beddington-DeAngelis Predator-Prey system, permanence, extinction. 45 46 TA VIET TON continuous function g(t) on R, we use the following notation: g u := sup g(t), g l := inf g(t). t∈R t∈R Similarly to Lemma 1 in [10], one can easily prove that Lemma 1. Both the nonnegative and positive cones of R3 are positively invariant for (1). In the remainder of this paper, for biological reasons, we only consider the solutions (x(t), y(t), z(t)) with positive initial values, i.e., x(to ) > 0, y(to ) > 0 and z(to ) > 0. Definition 1. System (1) is said to be permanent if there exist positive constants δ, ∆ with 0 < δ < ∆ such that min{lim inf x(t), lim inf y(t), lim inf z(t)} > δ, max{lim sup x(t), lim sup y(t), lim sup z(t)} 6 ∆ t→∞ t→∞ t→∞ t→∞ t→∞ t→∞ for all solutions of (1) with positive initial values. System (1) is said to be nonpersistent if there is a positive solution (x(t), y(t), z(t)) of (1) satisfying min{lim inf x(t), lim inf y(t), lim inf z(t)} = 0. t→∞ t→∞ t→∞ Definition 2. A set A is called to be an ultimately bounded region of system (1) if for any solution (x(t), y(t), z(t)) of (1) with positive initial values, there exists T1 > 0 such that (x(t), y(t), z(t)) ∈ A for all t > t0 + T1 . Definition 3. A bounded nonnegative solution (x̂(t), ŷ(t), ẑ(t)) of (1) is said to be globally asymptotically stable (or globally attractive) if any other solution (x(t), y(t), z(t)) of (1) with positive initial values satisfies lim (|x(t) − x̂(t)| + |y(t) − ŷ(t)| + |z(t) − ẑ(t)|) = 0. t→∞ Lemma 2. [2] Let h be a real number and f be a nonnegative function defined on [h, +∞) such that f is integrable on [h, +∞) and is uniformly continuous on [h, +∞), then lim f (t) = 0. t→∞ 3. Main Results Theorem 1. If mε1 > 0, mε2 > 0 and mε3 > 0, then set Γε defined by (2) Γε = {(x, y, z) ∈ R3 | mε1 6 x 6 M1ε , mε2 6 y 6 M2ε , mε3 6 z 6 M3ε } is positively invariant with respect to system (1), where au + ε, bl (f u − dl β l )M1ε , M2ε := dl γ l M1ε := al γ l − cu mu M3ε − , bu γ l bu f l mε1 − (du + nu M3ε )(αu + β u mε1 ) mε2 := , γ u (du + nu M3ε ) mε1 := LOTKA-VOLTERRA SYSTEMS . . . 47 hu (mu M1ε + nu M2ε ) − g l ξ l hl (mu mε1 + nu m2ε ) − g u ξ u ε , m := 3 gl ηl guηu and ε > 0 is constant. M3ε := Proof. We know that the logistic equation X 0 (t) = A(t)X(t)[B − X(t)] (B 6= 0) has a unique solution Rt X(t) = BX0 e Rt X0 [e t0 t0 A(s)Bds A(s)Bds − 1] + B where X0 := X(t0 ). By Lemma 1, we have x(t) > 0, y(t) > 0 and z(t) > 0 for all t ≥ t0 . Because M1ε > x0 > 0 and (1), we have x0 (t) 6 x(t)[a(t) − b(t)x(t)] 6 x(t)[al − bu x(t)] = bu x(t)(M10 − x). Thus, by using a standard comparison argument, we obtain that u (3) u x0 M10 ea (t−t0 ) x0 M1ε ea (t−t0 ) x(t) 6 6 < M1ε , u x0 [ea (t−t0 ) − 1] + M10 x0 [eau (t−t0 ) − 1] + M1ε t > t0 . Similarly, because 0 y 6 −dl y + f u M1ε y f u xy l 6 −d y + 6 αl + β l x + γ l y αl + β l M1ε + γ l y (4) 6 [(f u − dl β l )M1ε − dl γ l y]y dl γ l = y[M2ε − y], ε ε l l l l l l α + β M1 + γ y α + β M1 + γ y t > t0 , and 0 < y0 < M2ε , we have Rt (5) y(t) 6 y0 e M2ε Rt y0 [e t0 t0 M2ε dl γ l ds αl + β l M1ε + γ l y(s) M2ε dl γ l ds αl + β l M1ε + γ l y(s) − 1] + M ε < M2ε , 2 And because 0 < z0 < M3ε and hu z(mu x + nu y) ξ l + ηl z hu z(mu M1ε + nu M2ε ) 6 −g l z + ξ l + ηl z gl ηl z(M3ε − z), = l ξ + ηl z z 0 (t) 6 −g l z + we also get that (6) z(t) < M3ε , t > t0 . t > t0 . 48 TA VIET TON Now, from (1), (3), (5) and (6), we have µ ¶ cu y 0 l u u x (t) > x a − b x − l −m z α + γly µ ¶ cu M2ε l u u ε >x a −b x− l − m M3 α + γ l M2ε = bu x(mε1 − x) and x0 > mε1 . Thus, u mε (t−t ) 0 1 mε1 x0 eb x(t) > u mε (t−t ) 0 1 x0 [eb − 1] + mε1 > mε1 , for all t > t0 . Similarly, we have f l mε1 y − nu M3ε y αu + β u mε1 + γ u y γ u (du + nu M3ε ) = u y[mε2 − y], ε u u α + β m1 + γ y y 0 (t) > −du y + for which follows that y(t) > mε2 , for all t > t0 , and z 0 (t) > −g u z + hl z(mu mε1 + nu mε2 ) ξ u + ηuz guηu = u z(mε3 − z), u ξ +η z for which follows that z(t) > mε3 , for all t > t0 . So the proof is complete. ¤ Corollary 1. If mε1 > 0, mε2 > 0 and mε3 > 0, then we have lim inf x(t) > mε1 , lim sup x(t) 6 M1ε , lim inf y(t) > mε2 , lim sup y(t) 6 M2ε , lim inf z(t) > mε3 , lim sup z(t) 6 M3ε . t→∞ t→∞ t→∞ t→∞ t→∞ t→∞ Proof. From (3) we have lim supt→∞ x(t) < M1ε . Thus there exists t1 > t0 such that x(t) 6 M1ε , t > t1 . Similarly to (4) and (5) we obtain that Rt (7) y(t) 6 M2ε y1 e ε dl γ l M2 t1 αl +β l M ε +γ l y(s) ds 1 Rt y1 [e ε dl γ l M2 t1 αl +β l M ε +γ l y(s) ds 1 . − 1] + M2ε Thus, 0 < y(t) 6 max{M2ε , y1 } for all t > t1 , where y1 := y(t1 ). Therefore, from (7) we get that lim sup y(t) 6 M2ε . t→∞ LOTKA-VOLTERRA SYSTEMS . . . 49 As a consequence, there exists t2 > t1 such that y(t) 6 M3ε for all t > t2 . Similarly, we claim that lim sup z(t) 6 M3ε , lim inf x(t) > mε1 , lim inf y(t) > mε2 , lim inf z(t) > mε3 . t→∞ t→∞ t→∞ t→∞ The proof is complete. ¤ Corollary 2. If mε1 > 0, mε2 > 0 and mε3 > 0, then system (1) is permanent and set Γε with ε > 0 defined by (2) is an ultimately bounded region of system (1). Using Corollary 1, it is easy to verify the statement of the above lemma. Theorem 2. If M20 < 0 or M30 < 0, then lim y(t) = 0 or lim z(t) = 0 t→∞ t→∞ respectively. Proof. We see that if M2o < 0 or M3o < 0 then M2ε < 0 or M3ε < 0, respectively, with ε is sufficiently small. Therefore, similarly to the proof of Theorem 1 we get that (8) y 0 (t) 6 dl γ l y[M2ε − y] αl + β l M1ε + γ l y and gl ηl z[M3ε − z]. ξ l + ηl z If M2ε < 0 then y 0 (t) < 0. Thus, 0 < y(t) 6 y(t0 ), for all t > t0 and then there exists C1 > 0 such that lim y(t) = C1 . z 0 (t) 6 t→∞ If C1 > 0 then from system (1), (8) and 0 < C1 6 y(t) 6 y(t0 ), t > t0 , we have that there exists µ > 0 such that y 0 (t) < −µ for all t > t0 . Thus y(t) < −µ(t − t0 ) + y0 . Therefore, lim y(t) = −∞. So we have a contraction t→∞ to the fact that y(t) > 0 for all t > t0 . Hence, lim y(t) = 0. t→∞ Similarly, if M3ε < 0 then lim z(t) = 0. The proof is complete. t→∞ ¤ Theorem 3. Let (x∗ (t), y ∗ (t), z ∗ (t)) be bounded positive solutions of system (1). If mε1 > 0, mε2 > 0 and mε3 > 0 and the following conditions hold: ½ α(t)f (t) [β(t)c(t) + f (t)γ(t)]M2ε inf b(t) − − t>t0 u(t, mε1 , mε2 ) u(t, mε1 , mε2 ) ¾ m(t)h(t)ξ(t) m(t)h(t)η(t)M3ε − − > 0, v(t, mε3 ) v(t, M3ε ) 50 ½ inf t>t0 (9) inf { t>t0 TA VIET TON f (t)γ(t)mε1 α(t)c(t) h(t)ξ(t)n(t) − − ε ε ε ε u(t, m1 , M2 ) u(t, m1 , m2 ) v(t, mε3 ) ¾ β(t)c(t)M1ε h(t)n(t)η(t)M3ε − − > 0, u(t, M1ε , mε2 ) v(t, M3ε ) m(t)h(t)η(t)mε1 + n(t)h(t)η(t)mε2 − m(t) − n(t)} > 0, v(t, M3ε ) where u(t, x, y) := [α(t) + β(t)x∗ + γ(t)y ∗ (t)][α(t) + β(t)x(t) + γ(t)y(t)], v(t, z) := [ξ(t) + η(t)z ∗ ][ξ(t) + η(t)z] then (x∗ (t), y ∗ (t), z ∗ (t)) is globally asymptotically stable. Proof. Let (x(t), y(t), z(t)) be any solution of (1) with positive initial value. Since Γε is an ultimately bounded region of (1), there exists T1 > 0 such that (x(t), y(t), z(t)) ∈ Γε and (x∗ (t), y ∗ (t), z ∗ (t)) ∈ Γε for all t > t0 + T1 . Considering a Liapunov function defined by V (t) = | ln(x(t))−ln(x∗ (t))|+| ln(y(t))−ln(y ∗ (t))|+| ln(z(t))−ln(z ∗ (t))|, t > t0 a direct calculation of the right derivative D+ V (t) of V (t) along the solution of (1) produces LOTKA-VOLTERRA SYSTEMS . . . (10) µ 0 0 x x∗ D V (t) = sgn(x − x ) − ∗ x x µ 0 ¶ ∗0 z z + sgn(z − z ∗ ) − ∗ z z + ∗ ¶ µ ∗ + sgn(y − y ) 0 51 0 y y∗ − ∗ y y ¶ · cy cy ∗ = sgn(x − x ) a − bx − + mz ∗ − mz − a + bx∗ + ∗ ∗ α + βx + γy α + βx + γy ¸ ∗ · + sgn(y − y ) −d + ∗ fx f x∗ − nz + d − + nz ∗ α + βx + γy α + βx∗ + γy ∗ · h(mx + ny) h(mx∗ + ny ∗ ) + sgn(z − z ) − ξ + ηz ξ + ηz ∗ ¸ ¸ ∗ · µ ∗ ∗ ∗ = sgn(x − x ) −b(x − x ) − m(z − z ) − c − n sgn(y − y ∗ )(z − z ∗ ) + f sgn(y − y ∗ ) + h sgn(z − z ∗ ) α(x − x∗ ) + γ(xy ∗ − x∗ y) u(t, x, y) (mx + ny)(ξ + ηz ∗ ) − (mx∗ + ny ∗ )(ξ + ηz) v(t, z) 6 −b|x − x∗ | + m|z − z ∗ | + + n|z − z ∗ | + y y∗ − α + βx + γy α + βx∗ + γy ∗ αc|y − y ∗ | βc(xy ∗ − x∗ y) + sgn(x − x∗ ) u(t, x, y) u(t, x, y) f γ(xy ∗ − x∗ y) αf |x − x∗ | + sgn(y − y ∗ ) u(t, x, y) u(t, x, y) + h sgn(z − z ∗ ) (mx + ny)(ξ + ηz ∗ ) − (mx∗ + ny ∗ )(ξ + ηz) . v(t, z) We have (mx + ny)(ξ + ηz ∗ ) − (mx∗ + ny ∗ )(ξ + ηz) = = mξ(x − x∗ ) + nξ(y − y ∗ ) + mη(xz ∗ − x∗ z) + nη(yz ∗ − y ∗ z) ¶¸ 52 TA VIET TON and Thus, xy ∗ − x∗ y = x(y ∗ − y) + y(x − x∗ ), xz ∗ − x∗ z = x(z ∗ − z) + z(x − x∗ ), yz ∗ − y ∗ z = y(z ∗ − z) + z(y − y ∗ ). ¸ · hmξ αf βcy + f γy hmηz |x − x∗ |+ D V (t) 6 −b + + + + v(t, z) u(t, x, y) u(t, x, y) v(t, z) + · ¸ αc βcx − f γx hξn + hnηz + + + |y − y ∗ |+ u(t, x, y) u(t, x, y) v(t, z) (11) · ¸ hmηx + hnηy + m+n− |z − z ∗ |. v(t, z) Because (x(t), y(t), z(t)) ∈ Γε , for all t > t0 + T1 , we get that (12) · α(t)f (t) β(t)c(t) + f (t)γ(t) ε + D V (t) 6 − b(t) − − M2 − ε ε u(t, m1 , m2 ) u(t, mε1 , M2ε ) ¸ m(t)h(t)ξ(t) m(t)h(t)η(t)M3ε − − |x − x∗ |− v(t, mε3 ) v(t, M3ε ) · − f (t)γ(t)mε1 α(t)c(t) h(t)ξ(t)n(t) − − − ε ε ε ε u(t, m1 , M2 ) u(t, m1 , m2 ) v(t, mε3 ) ¸ β(t)c(t)M1ε h(t)n(t)η(t)M3ε − − |y − y ∗ |− u(t, M1ε , mε2 ) v(t, M3ε ) · ¸ m(t)h(t)η(t)mε1 + h(t)n(t)η(t)mε2 − − n(t) − m(t) |z − z ∗ |, v(t, M3ε ) for all t > t0 + T1 . ¿From (9) follows that there exists a positive constant µ > 0 such that (13) D+ V (t) 6 −µ[|x(t) − x∗ (t)| + |y(t) − y ∗ (t)| + |z(t) − z ∗ (t)|], for all t > t0 + T1 . Integrating on both sides of (13) from t0 + T1 to t produces Z t V (t)+µ [|x(s)−x∗ (s)|+|y(s)−y ∗ (s)|+|z(s)−z ∗ (s)|]ds 6 V (t0 +T1 ) < +∞, t0 +T1 for all t > t0 + T1 . LOTKA-VOLTERRA SYSTEMS . . . Z 53 Then t [|x(s) − x∗ (s)| + |y(s) − y ∗ (s)| + |z(s) − z ∗ (s)|]ds 6 µ−1 V (t0 + T1 ) < +∞, t0 +T1 for all t > t0 + T1 , Hence, |x − x∗ | + |y − y ∗ | + |z − z ∗ | ∈ L1 ([t0 + T1 , +∞)). The boundedness of x∗ , y ∗ , z ∗ and the ultimate boundedness of x(t), y(t), z(t) imply that x(t), y(t), z(t), x∗ (t), y ∗ (t) and z ∗ (t) all have bounded derivatives for t > t0 + T1 (from the equations satisfied by them). As a consequence |x(s) − x∗ (s)| + |y(s) − y ∗ (s)| + |z(s) − z ∗ (s)| is uniformly continuous on [t0 + T1 , +∞). By Lemma 2 we have lim (|x(t) − x∗ (t)| + |y(t) − y ∗ (t)| + |z(t) − z ∗ (t)|) = 0 t→∞ which completes the proof. ¤ Acknowledgment The author would like to thank professor Nguyen Huu Du for his interest, encouragement, fruitful discussions and helpful comments. References [1] S. Ahmad. On the nonautonomous Volterra-Lotka competition equations. Proc. Amer. Math. Soc., 117(1):199–204, 1993. [2] I. Barbălat. Systèmes d’équations différentielles d’oscillations non linéaires. Rev. Math. Pures Appl., 4:267–270, 1959. [3] J. R. Beddington. Mutual interference between parasites or predators and its effect on searching efficiency. J. Animal Ecol., 44(1):331–340, 1975. [4] R. S. Cantrell and C. Cosner. On the dynamics of predator-prey models with the Beddington-DeAngelis functional response. J. Math. Anal. Appl., 257(1):206–222, 2001. [5] N. H. Du, R. Kon, K. Sato, and Y. Takeuchi. Dynamical behavior of Lotka-Volterra competition systems: non-autonomous bistable case and the effect of telegraph noise. J. Comput. Appl. Math., 170(2):399–422, 2004. [6] N. H. Du, R. Kon, K. Sato, and Y. Takeuchi. The evolution of periodic population systems under random environments. Tohoku Math. J. (2), 57(4):447–468, 2005. [7] M. Fan and Y. Kuang. Dynamics of a nonautonomous predator-prey system with the Beddington-DeAngelis functional response. J. Math. Anal. Appl., 295(1):15–39, 2004. [8] T.-W. Hwang. Global analysis of the predator-prey system with Beddington-DeAngelis functional response. J. Math. Anal. Appl., 281(1):395–401, 2003. [9] T.-W. Hwang. Uniqueness of limit cycles of the predator-prey system with BeddingtonDeAngelis functional response. J. Math. Anal. Appl., 290(1):113–122, 2004. [10] Y. Pinghua and X. Rui. Global attractivity of the periodic Lotka-Volterra system. J. Math. Anal. Appl., 233(1):221–232, 1999. [11] Y. Takeuchi. Global dynamical properties of Lotka-Volterra systems. World Scientific Publishing Co. Inc., River Edge, NJ, 1996. [12] Y. Takeuchi, N. H. Du, N. T. Hieu, and K. Sato. Evolution of predator-prey systems described by a Lotka-Volterra equation under random environment. J. Math. Anal. Appl., 323(2):938–957, 2006. 54 TA VIET TON Received September 19, 2007. Faculty of Mathematics, Mechanics and Informatics, College of Science, Vietnam National University, Hanoi, Vietnam. E-mail address: tontv@vnu.edu.vn