Nonautonomous periodic systems with Allee effects

Size: px
Start display at page:

Download "Nonautonomous periodic systems with Allee effects"

Transcription

1 Journal of Difference Equations and Applications Vol 00, No 00, February 2009, 1 16 Nonautonomous periodic systems with Allee effects Rafael Luís a, Saber Elaydi b and Henrique Oliveira c a Center for Mathematical Analysis, Geometry, and Dynamical Systems, Instituto Superior Técnico, Technical University of Lisbon, Portual; b Department of Mathematics, Trinity University, San Antonio, Texas, USA; c Department of Mathematics, Instituto Superior Técnico, Technical University of Lisbon, Portual Received) A new class of maps called unimodal Allee maps are introduced Such maps arise in the study of population dynamics in which the population oes extinct if its size falls below a threshold value A unimodal Allee map is thus a unimodal map with tree fixed points, a zero fixed point, a small positive fixed point, called threshold point, and a bier positive fixed point, called the carryin capacity In this paper the properties and stability of the three fixed points are studied in the settin of nonautonomous periodic dynamical systems or difference equations Finally we investiate the bifurcation of periodic systems/difference equations when the system consists of two unimodal Allee maps Keywords: Unimodal Allee maps, Threshold point, Carryin capacity, Composition map, Stability, Bifurcation 1 Introduction The Allee effect is a phenomena in population dynamics attributed to the bioloist Wander Claude Allee [1] Allee proposed that the per capita birth rate declines at low density or population sizes In the lanuaes of dynamical systems or difference equations, a map representin the Allee effect must have tree fixed points, an asymptotically stable zero fixed point, a small unstable fixed point, called the threshold point, and a bier positive fixed point, called the carryin capacity, that is asymptotically stable at least for smaller values of the parameters Recently, there has been a sure in research activities on models with Allee effect and a publication of a book dedicated solely to this phenomenon [5] Some of the relevant work may be found in Yakubu [15, 16], Jan [21], Li, Son, and Wan [12], Elaydi and Sacker [17], Allen, Faan, Honas, and Faerholm [2], Luís, Elaydi and Oliveira [13], Schreiber [19], Dennis [6] and Cushin [7] Our main interest in this paper is to study nonautonomous periodic difference equations/discrete dynamical systems in which the maps of the system are unimodal Allee maps Such systems model population with fluctuatin habitat and they are commonly called periodically forced systems Correspondin author rafaelluis@netmadeiracom selaydi@trinityedu holiv@mathistutlpt This work is part of the first author s PhD dissertation ISSN: print/issn online c 2009 Taylor & Francis DOI: / YYxxxxxxxx

2 2 Rafael Luís, Saber Elaydi and Henrique Oliveira 2 Preliminaries Consider the set F = {f 0, f 1,, f p 1 } of continuous maps on I = [0, b], where b The set F enerates the nonautonomous p periodic difference equation x n+1 = f n x n ), n Z +, 1) where Z + := {0, 1, 2, 3, } and f n+p = f n, n Z + Thouh the nonautonomous periodic difference equation 1) does not enerate a discrete dynamical system [9], one may speak about the nonautonomous p periodic dynamical system F One of the most effective way of convertin the nonautonomous difference equation 1) into a enuine discrete dynamical system is the construction of the associated skew-product system as described a recent paper by Elaydi and Sacker [10] It is noteworthy to mention that this idea was oriinally used to study nonautonomous differential equations by Sacker and Sell [18] However, since the focus here will be on the case when F consists of two maps, we will not utilize the skew-product construction as it is more appropriate for more complicated settin We now present few basic definitions that will be used in the sequel Definition 21 A point x is a fixed point of Eq 1) or the systems F if f n x ) = x for all n Z + In other words, x is a fixed point of all the maps in F Definition 22 Let C r = {x 0, x 1,, x r 1 } be a ordered set in I Then C r is called an periodic r cycle orbit) if f i+nr)modp x i ) = x i+1)modr, 0 i r 1 To this end we have talked about eneral continuous maps on an interval The focus in this paper will be on special types of map that we call unimodal Allee maps A definition of these maps now follows Definition 23 Let I = [0, b] R + A continuous function f : I I is called an Allee map if the followin hold: f 0) = 0, and there are positive points A f and K f such that f x) < x for x 0, A f ) K f, b) and f x) > x for x A f, K f ) If, in addition, the map is unimodal, then it is called an unimodal Allee map Explicitly, we require the followin: fb) = 0 when b is finite or lim f x) = 0 otherwise x + There exists a unique critical point C f of f, where f x) is strictly increasin on [0, C f ) and strictly decreasin on C f, b) or C f, + ) when b = + ) Fi 1 depicts a prototype of unimodal Allee maps From definition 23, it follows that A f and K f are positive fixed points We call the smaller positive fixed point the threshold point A f of the map f, and the reater positive fixed point K f the carryin capacity of the map f It is easy to verify that x = 0 is an attractin fixed point and [0, A f ) Af, B f 0), where B f 0) is the basin of attraction of zero and A Af f = f 1 A f ), ie f = A f, with A f > K f Note that the threshold point A f is always repellin while the carryin

3 f x K f Journal of Difference Equations and Applications 3 A f 0 A f K f A f x Fiure 1 An instance of one unimodal Allee map f capacity K f may or not stable Next we define a unimodal Allee map f by two maps, a left map f l and a riht map f r Thus we have f x) = { fl x) if 0 x A f f r x) if A f < x b 2) It follows that f 0) = f l 0) = f r b) = 0 or lim x f r x) = 0) Since f is continuous in R +, it follows that f A f ) = f l A f ) = f r A f ) = A f and f K f ) = f r K f ) = K f To facilitate our study we introduce two zones, the threshold zone and the carryin capacity zone Definition 24 1) The square that contains the oriin and the points A f, 0), 0, A f ) and A f, A f ) will be called the threshold zone Af 2) The rectanle that contains the points A f, A f ), A f, f C f )),, A f Af and, f C f ) will be called the carryin capacity zone Consider now the nonautonomous periodic system W = {f, } where f and are unimodal Allee maps with f x) > x) for all x on 0, b) We note that under this hypothesis, we have 0 < A f < A < K < K f Henceforth we assume that the riht end point b of I is fixed for all the unimodal Allee maps The composition map f may be written as follows f = { f l x)) if 0 x A f r x)) if A < x b 3) The first branch of 3) may be written as { fl f l x)) = l x)) if 0 1 x) A f 0 x A f r l x)) if A f 1 x) < b 0 x A

4 4 Rafael Luís, Saber Elaydi and Henrique Oliveira hence where A f or equivalently { fl l x)) if 0 x A f f l x)) = f r l x)) if A f < x A, 4) represents the left preimae of A f under the map, ie, A f = A f, ) ) f l l A f = f r l A f = f A f ) = A f The second branch of 3) may be written as where A + f or equivalently f r X)) = { fr r x)) if A < x < A + f f l r x)) if A + f x b, 5) represents the riht preimae of A f under the map, ie, A + f = A f, From 4) and 5) we obtain Similarly ) ) f r r A + f = f l r A + f = f A f ) = A f f l l x)) if 0 x A f f r f = l x)) if A i < x A f r r x)) if A < x < A + 6) f f l l x)) if A + f x b l f l x)) if 0 x A f f = l f r x)) if A f < x < A r f r x)) if A x A + l f r x)) if A + < x b 7) where A and A + represents the left and the riht preimaes of A under the map f, respectively, that is, f A ) = f A + = A In other words we have and Fiure 2 summarises above remarks l fr A )) = r fr A )) = A ) = A r fr A + )) = l fr A + )) = A ) = A Lemma 25 Let f, W If C f > A, where C f is the unique critical point of f and A is the threshold point of, then f and, both, are homeomorphisms on [0, A ] 3 Threshold points of the composition map In this section we prove the existence of the fixed points, called threshold points, of the composition map In addition we establish an order relation between these

5 Journal of Difference Equations and Applications 5 I II f f A f f A f A f A f A A f A f III IV A f f f A f f A f A A A A Fiure 2 Parts I and II depicts the left and the riht preimaes of A f under while parts III and IV depicts the left and the riht preimae of A under the map f fixed points From here to the rest of the paper we assume that A f and A are the threshold points of the unimodal Allee maps f and, respectively We also assume that A f and A are, respectively, the first preimae of A f by the map and the first preimae of A by the map f Theorem 31 Let f and be two unimodal Allee maps such that f x) > x) for all x on 0, b) Then both f and f, have threshold points, that we denote by A f and A f, respectively Moreover A f < A f < A and A f < A f < A Proof Assume that f and satisfy the conditions of the hypothesis of the theorem First let us to prove the existence of A f and A f We know that l A f ) < A f and on [0, A f ] f is increasin This implies that f l l A f )) < f l A f ) = A f On the other hand f r l A )) = f r A ) > l A ) = A Hence the function f x) x chanes sin on A f, A ) Then there exits x A f, A ) such that f x) = x, ie A f < A f < A In the same way we prove that A f < A f < A [ ] To proof that A f A f, A ) first we will proof that A f / A f, A f Let [ ] x A f, A f We know that f A f ) < A f and f A f = A f < A f When if x A f, A f ) we have that l x) < A f and so f l l x)) < A f < x Therefore [ ] A f, A f Now let x A f, A ) By one side we have f A ) = f A ) > A > x and on A f / the other side f A f ) = A f < x, consequently, there exits y A f, A ) such that f y) = y, that is, A f A f, A ) Followin the same reasonin we prove A f < A f < A Next we establish an order relation between these two threshold points of f

6 6 Rafael Luís, Saber Elaydi and Henrique Oliveira and f, respectively Theorem 32 Let f and be two unimodal Allee maps such that f x) > x) for all x on 0, b) Suppose that in the threshold reion, ie, on J = [0, A ], these two maps are convex, f is increasin and f x) > x), x J Suppose also that Then A A f Moreover A f < A f f A ) + A ) f A f ) A ) 8) Proof By hypothesis we have A A f = ε > 0 and x J = [0, A ], f x) x) = δ x) > 0 such that δ x) is increasin We need to prove that the first preimae of A f and A, both, satisfy the relation A A f or f 1 A ) 1 A f ), that is equivalent By the Taylor s series we know that A f 1 A f ) 9) 1 A f ) = 1 A ε) = 1 A ) 1 A ) ε + O ε 2) = A ε A ) + O ε 2) Substitutin the previous relation in 9) we et A f A ε A ) + O ε 2)) and aain by Taylor s series that is A = f A ) f A ) A ) ε + O ε 2) f A ) A ) ε f A ) A + O ε 2) Once that f A ) A = f A ) A ) = δ we et So relation 9) is equivalent to relation 10) f is convex and therefore f A ) A ) ε δ + O ε 2) δ 10) f A f ) < fa) faf ) A A f = f M) < f A ), where M ]A f, A [ So f M) = fa ) A +A A f ε, and therefore f M) = δ+ε ε By hypothesis we have f A ) + A ) f A f ) A ), that is equivalent to f A ) A + 1 f ) A f ) But f A f ) < f M) so f A ) A ) + 1 f M) = δ+ε ε Multiplyin by ε both of the members of the last relation we et f A ) A ) ε δ

7 Journal of Difference Equations and Applications 7 that is equivalent to relation 10), and therefore this part of the theorem is proved From Theorem 31 and by the fact that A A f it follows A f < A f Hypothesis 8) requires that f and stay sufficiently far apart to avoid the collapse of the interval where the threshold points of f and f belons 4 The carryin capacity of the composition map In this section we study the existence, the location and the properties of the carryin capacity of the composition map Note that if f and are two unimodal Allee maps such that f x) > x) for all x on 0, b), then the critical points of f are the solutions of the equation f x)) x) = 0 This implies that C is a critical point of both and f The equation f x)) = 0 has a solution if and only if the equation x) = C f has a solution Thus either 1 C f ) = or 1 C f ) consists of two points one on the left side of C and the other on the riht side of C Let us to represent the points by C f resp C+ f ), the critical point of the composition map f on the left resp on the riht) side of C So if C f and C+ f exists then the composition map f has four intervals of monotonicity otherwise f [ has two ] intervals of monotonnicity) Explicitly, [ ] f is strictly increasin on 0, C f C, C + f and is strictly decreasin on [ C f, C ] [C + f, b ] The same analysis can be made for the map f Note that the threshold point of the composition map f resp f) belons always to the first interval where the composition map is increasin Recall from the previous sections that K f and K are the carryin capacities of f and, respectively, and A + f resp A+ ) the riht positive preimae of A f resp A ) under the map resp f) We also follows the notation about the critical points of the composition map that we described above Theorem 41 Let f and be two unimodal Allee maps such that f x) > x) for all x on 0, b) Then both f and f, have carryin capacities, that we denote by K f and K f, respectively Moreover K < K f < A + f and A < K f < A + Proof It is clear that 0 < A f < A < K < K f, A + f > K f and A < A < K < A + We can see that f K ) = f K ) > K ) = K and f A + f = f A f ) = A f < A + f Therefore the map f x) x chanes sin on K, A + f ) Hence there exists x K, A + f ) such that f x) = x Note that C + f < A+ f To see this fact suppose by contradiction that C+ f A+ f or equivalently 1 C f ) 1 A f ) We know that C + f, A+ f > C and is decreasin on C, b) Consequently, applyin in both sides of the last inequality we et C f A f that is impossible Similarly we prove C + f < A+ Since C + f < A+ f the carryin capacity of f, K f, is the reater root of f x) = x on K, A + f ) We also can see that f A + ) = A ) < A + and f A ) = A > A So the map f x) x chanes sin on A, A + ) and therefore there exists K f A, A + ) such that f K f ) = K f since C + f < A+ Remark 1 Let f and be two unimodal Allee maps such that f x) > x) for

8 8 Rafael Luís, Saber Elaydi and Henrique Oliveira all x on 0, b) If f C ) > C resp f C f ) > C f ) then the map f resp f) has exactly two positives fixed points, the threshold point and the carryin capacity Corollary 42 Let f and be two unimodal Allee maps such that f x) > x) for all x on 0, b) If C, C f > K f then f x) > f x), x [K, K f ] Moreover, K < K f < K f < K f Proof If C, C f > K f we have that f and are increasin on [K, K f ] The composition of increasin maps is an increasin map The interval [K, K f ] is invariant under composition because f K ) > K, f K f ) < K f and f K f ) < K f, f K ) > K So the map f x) x resp fx) x) chanes sin on [K, K f ] We know that f K ) > K and therefore f K ) < f K ) = f K ) x) < x, x > K ) On other hand we know that K f ) < K f so f K f ) > K f ) = f K f ) f x) > x, x ]A f, K f [) Consequently, f x) > f x), x [K, K f ] Once that f C ) < C resp fc f ) < C f ) from remark 1 it follows that K f resp K f ) is the unique fixed point of f resp f) on [K, K f ] The relation order between K f and K f is an immediate consequence of the relation order between the composition maps Corollary 43 Let f and be two unimodal Allee maps such that f x) > x) for all x on 0, b) Then followin statements holds true 1) if C f > K f and C > K then K f, K f K, K f ) 2) if C f < K f then we have a) K f K, K f ) if f K f ) < K f and f C + f < C + f in the case that C + f doesn t exists we have K f K, K f ) if f K f ) < K f ); b) K f K f, A + f ) if f K f ) > K f ; c) K f A, K ) if f K ) < K and f C + f < C + f ; d) K f K, K f ) if f K ) > K and f C + f < C + f ; e) K f C + f, A+ ) if f C + f > C + f 3) if C f > K f and C < K then we have a) K f K, K f ) b) The situation of K f is similar to 2)c, 2)d and 2)e From the previous corollary it is possible, in certain cases, to establish an order relation between the two carryin capacities K f and K f of the composition maps f and f In particular we are interested in an order when such fixed points are between the carryin capacities of the individual maps The next result provides this information, respectively Theorem 44 Let f and be two unimodal Allee maps such that f x) > ) x) for all x on 0, b) Suppose that C f < K f, C < K, f K f ) < K f, f C + f < C + f, f K ) > K and f C + f > C + f Let y J = [k, k f ] and suppose that y) > K f, y J, where K f is the left preimae of K f by the map f Then f y) < f y), y J Moreover, K < K f < K f < K f Proof Let K f be the left preimae of K f by the map f, ie, f K f = K f Then A f < K f < K f Note that is decreasin on J = [k, k f ], y) < y, y J and f y) > y, y J From the hypothesis we have y) > K f and therefore f y) > K f, y J

9 Journal of Difference Equations and Applications 9 On the other hand f y) > K f > y > K, and then f y) < f y) < K, y J Consequently, f y) < f y), y J From the hypothesis of the theorem and remark 1 the theorem is established 5 Stability The first objective in this section is to formulate in a more precise form definitions of stability in the settins of eneral periodic difference equations of the form x n+1 = f n x n ), f n+p = f n, n Z + 11) Equivalently, one may speak about the stability in the settins of the nonautonomous periodic dynamical systems F = {f 0, f 1,, f p 1 } Stability notions for periodic difference equations have been investiated by many authors Includin, to cite few, AlSharawi and Anelos [3], AlSharawi, Anelos, Elaydi and Rakesh [4], Henson [11], Yakubu [15], Oliveira and D Aniello [14], and Selrado and Roberds [20] It is our hope that our definitions will standarize the notion and terminoloy in the area of nonautonomous systems Definition 51 Φ i = f i 1 f 1 f 0 is called the composition operator with order i associated with Eq 11) and Φ i = f 0 f 1 f i 1 is called the reverse composition operator with order i associated with Eq 11) Definition 52 Let x be a fixed point of F, ie, x is a fixed point of all the members of the set F Then 1) x is stable if iven ε > 0, there exits δ > 0 such that x 0 x < δ implies Φ i x 0 ) x < ε, i 1 Otherwise, x is unstable 2) x is attractin if there exists η > 0 such that x 0 x < η implies lim n Φ n x 0 ) = x 3) x is asymptotically stable if it is both stable and attractin 4) x is lobally asymptotically stable if it is asymptotically stable and η = Many authors use the notion of attractivity of nonhyperbolic fixed point instead of our eneral definition The followin result provides us the connection between these two notions Lemma 53 Suppose that F is a set of continuously differentiable maps at x If Φ i x ) < 1, i 1 then x is an asymptotically stable fixed point of F Proof From the hypothesis we have for all i 1 Φ i x ) = f i 1x )f i 2x )f 1 x ) f 0 x ) M < 1 Hence there exists an open interval J = x ε, x +ε) such that Φ i y) M < 1, y J By the mean value theorem we know that Φ 1 x 0 ) x = Φ 1y) x 0 x M x 0 x, for any x 0 I and y between x 0 and x The last inequality implies that Φ 1 x 0 ) I

10 10 Rafael Luís, Saber Elaydi and Henrique Oliveira since M < 1 Usin the same arument we et Φ 2 x 0 ) x M Φ 1 x 0 ) x M 2 x 0 x By mathematical induction, we can prove that Φ n x 0 ) x M n x 0 x, n 1 12) Assumin δ = ε/2, for any ε > 0, from x 0 x < δ follows that Φ n x 0 ) x M n ε/2 < ε, n 1 since M < 1 and consequently x is stable Moreover, lim Φ n x 0 ) = x and thus x is attractin n In particular, if F is a set formed by unimodal Allee maps we have that x = 0 is a fixed point of Φ i x), for all i 1 Since this fixed point is asymptotically stable for each map we have Φ i 0) < 1 and thus from the previous lemma x = 0 is an asymptotically stable fixed point of F Now let us focus our attention on the stability of a periodic cycle for a periodic nonautonomous difference equation Our definition of stability now follows Definition 54 Let C r = {x 0, x 1,, x r 1 } be a r periodic cycle of equation 11) where f n+p = f n, n Z +, p > 1 and either r divides p or r is a multiple of p 1) C r is stable if iven ε > 0 there exists δ > 0 such that x 0 x 0 < δ implies Φ i x 0 ) Φ i x 0 ) < ε, i 1 Otherwise, C r is said unstable 2) C r is attractin if there exits η > 0 such that x 0 x 0 < η implies lim n Φ rn+i x 0 ) = x i, 0 i r 1 3) C r is asymptotically stable if it is both stable and attractin 4) C r is lobally asymptotically stable if it is asymptotically stable and η = An immediate consequence of this definition now follows Lemma 55 Suppose that F = {f 0, f 1,, f p 1 } is a set of continuously differentiable maps at x 0 If Φ p x 0 ) < 1 then the r periodic cycle C r of Eq 12) is asymptotically stable, where f n+p = f n, n Z +, p > 1 and either r divides p or r is a multiple of p Proof The proof is divided into two parts 1) Consider the first case where r divides p, that is, mr = p Suppose that Φ p x 0 ) < 1, ie f 0x 0 )f 1x 1 )f r 1x r 1 )f rx 0 )f 2r 1x r 1 )f 2rx 0 )f mr 1x r 1 ) M < 1 Followin the same arument that we the used in the prove of lemma 53 we et Φ m r x 0 ) x 0 M mr x 0 x 0 13) This implies that lim m Φm r x 0 ) = x 0 since M < 1 By continuity the composition of continuous maps is a continuous map) the followin statement yields Φ i Φ m r x 0 ) = Φ m r+ix 0 ) m Φ i x 0 ) = x i and thus C r is attractin Note that Φ p+i = Φ mr+i = Φ i Φ m r

11 Journal of Difference Equations and Applications 11 To see the stability of C r let us to take δ < ε/2, for any iven ε > 0 Since x 0 C r we have x 0 = Φ r x 0 ) = Φ rm x 0 ) and thus from 13) we have Φ rm x 0 ) Φ rm x 0 ) < ε Consequently, Φ i x 0 ) Φ i x 0 ) < ε, 1 2) In the second case let us to assume that r = mp The dynamics of the points in the r cycle is x 1 = Φ 1 x 0 ), x 2 = Φ 2 x 0 ),, x p = Φ p x 0 ),, x 2p = Φ 2 px 0 ),, x 0 = Φ m p x 0 ) Followin the same arument of the previous case we show that The rest of the prove is similar Φ nm p x 0 ) x 0 < M nm x 0 x 0 14) In the particular case, when F is a periodic set formed by unimodal Allee maps such that f i < f i+1, i {0, 1,, p}, the threshold point A Φp of Φ p is unstable since the map Φ p x) is increasin on [0, A Φp ] and Φ p x) < x, x 0, A Φp ) The same happens for Φ i on [0, A Φ i ] Remark 1 The above theorems cover the hyperbolic case when Φ x ) 1 When Φ x ) = 1 or 1, the critical point is called neutral A complete analysis of these nonhyperbolic cases may be found in Elaydi s book Discrete Chaos [8] 6 Bifurcation The study of various notions of bifurcation in the settin of nonautonomous systems is still in its infancy stae The main contribution in this area are the papers by Henson [11], AlSharawi and Anelo [3], and Oliveira and D Aniello [14] Our main oal here is to ive precise and complete definitions and notions for the various bifurcation notions in the settin of nonautonomous systems Thouh our focus here will be on 2 periodic systems, the ideas presented can be easily extended to the eneral periodic case We start our exposition presentin the followin theorem due by Henson [11] where the idea is to perturb the parameters Theorem 61 Suppose that F α, x) : R R R is non-linear in x, one to one in α, C 2 in both x and α, and for a specific real number α, the autonomous difference equation x n+1 = F α, x n ) has an attractin r periodic cycle {x 0, x 1,, x r 1 }, with a minimal period r Then for sufficiently small ɛ > 0, if α 0, α 1,, α p 1 α ɛ, α+ɛ) then the p periodic difference equation x n+1 = F α n, x n ), α n+p = α n has t attractin periodic solutions of minimal period s, where t = cdp, r) reatest common divisor of p and r), and s = lcmp, r) least common multiple of p and r) Proof See [11] Consider the 2 periodic system F = {f 0, f 1 }, f 0 f 1, where both maps arise from a one-parameter family of maps f α in which f 0 = f α0 and f 1 = f α1 Let C r = {x 0, x 1,, x r 1 } be an r periodic cycle of f α In the followin table we summarize the ideas presents in theorem 61 for sufficiently small ɛ and α 0, α 1 α ɛ, α + ɛ)

12 12 Rafael Luís, Saber Elaydi and Henrique Oliveira Fiure 3 Sequence of the periodic points {x 0, x 1,, x r 1 } in the fibers and f r cd r, 2) lcm r, 2) Conclusion F has one GAS 2 periodic cycle F has two AS 2 periodic cycle F has two AS 4 periodic cycle 2m 2 2m F has two AS 2m periodic cycle Let r = 2m, m 1 With Φ 2 = f, one may write the orbit of C r as see fiure 3) Ox 0 ) = { x 0, x 0 ), Φ 2 x 0 ), Φ 2 x 0 ), Φ 2 2x 0 ),, Φ m 1 2 x 0 ), Φ m 1 2 x 0 ) } 15) or equivalently Ox 1 ) = { m 1 f Φ 2 x 1 ), x 1, fx 1 ), Φ 2 x 1 ), f Φ } m 2 m 1 2 x 1 ),, f Φ 2 x 1 ), Φ 2 x 1 ) 16) where Φ 2 = f Hence the order of the composition is irrelevant to the dynamics of the system In the sequel, we assume that the maps f and arise from a one-parameter family of maps such that f = f α and = β with β = qα for some real number q > 0 Thus one may write, without loss of enerality, our system as F = {f α, α } The dynamics of F depends very much on the parameter and the qualitative structure of the dynamical system chanes as the parameter chanes These qualitative chanes in the dynamics of the system are called bifurcation and the parameter values at which they occur are called bifurcation points For autonomous systems or sinle maps the bifurcation analysis may be found in Elaydi [8] In a one-dimensional systems enerated by a one-parameter family of maps f α, bifurcation at a fixed point x occurs when f x α, x ) = 1 or 1 at a bifurcation point α The farmer case leads to a saddle-node bifurcation, while the latter case

13 Journal of Difference Equations and Applications 13 leads to a period-doublin bifurcation Our objective here is to extend this analysis to 2 periodic difference equations or F = {f α, α } To simplify the notation we write Φ instead of Φ 2, and we write Φα, x) instead of Φx) Let C r = {x 0, x 1,, x r 1 } be a r periodic cycle of F and suppose that 2m = r, Φ = f and Φ = f Then Φ m x 2i ) = x 2i)modr and Φ m x 2i+1 ) = x 2i+1)modr, 1 i m In eneral we have Φ nm x 2i ) = x 2i)modr and Φ nm x 2i+1 ) = x 2i+1)modr, n 1 Assumin Φm x α, x 0) = 1 at a bifurcation point α by the chain rule, we have or Φ x α, x 2m 2) Φ x α, x 2m 4) Φ x α, x 2) Φ x α, x 0) = 1 f αx 2m 1 ) αx 2m 2 )f αx 2m 3 ) αx 2m 4 )f αx 3 ) αx 2 )f αx 1 ) αx 0 ) = 1 17) Applyin α on both sides of the identity Φ m α, x 0 ) = x 0, yields Φ m α, x 1 ) = x 1 Differentiatin both sides of this equation we et or equivalently Φ x α, x 2m 1) Φ x α, x 2m 3) Φ x α, x 3) Φ x α, x 1) = 1 αx 0 )f αx 2m 1 ) αx 2m 2 )f αx 2m 3 ) αx 4 )f αx 3 ) αx 2 )f αx 1 ) = 1 18) Hence Eq 17) is equivalent to Eq 18) More enerally the followin the relation yields Φ m x α, x 2j) = Φ m x α, x 2j 1), j {0, 1,, m 1} 19) The next result ives conditions for the saddle-node bifurcation Theorem 62 Saddle-node Bifurcation Let C r = {x 0, x 1,, x r 1 } be a r periodic cycle of F Suppose that both 2 Φ x and 2 Φ 2 exist and are continuous in a neihbourhood of a periodic orbit such that Φm x α, x 0) = 1 for the periodic point x 0 Assume 2 also that A = Φm α α, x 0) 0 and B = 2 Φ m x 2 α, x 0) 0 Then there exists an interval J around the periodic orbit and a C 2 map α = hx), where h : J R such that hx 0 ) = α, and Φ m x, hx)) = x Moreover, if AB < 0, the periodic points exists for α > α, and, if AB > 0, the periodic points exists for α < α Proof The proof is similar to the proof of theorem 25 in [8, pp 86] and will be omitted When Φm x α, x 0) = 1 but Φm α α, x) = 0, two types of bifurcation appear The first is called transcritical bifurcation which appears when 2 Φ m x α, x 2 0 ) 0 and the second called pitchfork bifurcation which appears when 2 Φ m x α, x 2 0 ) = 0 see

14 14 Rafael Luís, Saber Elaydi and Henrique Oliveira table 21 in [8, pp 90] In [14], the authors studied the pitchfork bifurcation for 2 periodic systems in which the maps have neative Schwarzian derivative In the next result we characterize period-doublin bifurcation Theorem 63 Period-Doublin Bifurcation Let C r = {x 0, x 1,, x r 1 } be a r periodic cycle of F Assume that both 2 Φ x 2 and Φ α exist and are continuous in a neihbourhood of a periodic orbit, Φm x α, x 0) = 1 for the periodic point x 0 and 2 Φ 2m α x α, x 0) 0 Then, there exists an interval J around the periodic orbit and a function h : J R such that Φ m x, hx)) x but Φ 2m x, hx)) = x Proof The proof is similar to the proof of the theorem 27 in [8, pp 89] and will be omitted Note that if W is a periodic set formed by unimodal Allee maps, neither the zero fixed point nor the threshold point can contribute to bifurcation, since the former is always asymptotically stable and the latter is always unstable Hence bifurcation may only occur at the carryin capacity of W Now we are oin to apply the above results to study the bifurcation of the system W = {f 0, f 1 }, where f i x) = a i x 2 1 x), i = 0, 1, x [0, 1] and a i > 0 For an individual map x) = ax 2 1 x), the dynamics is interestin but predictable For a < 4 we have a lobally asymptotically stable zero fixed point and no other fixed point A new unstable fixed point born at a = 4 after which x) becomes a unimodal map with an Allee effect Henceforth, we assume that a > 4 To determine the two main types of bifurcation, we solve the equations { x0 = f 1 f 0 x 0 )) f 1 F 0 x 0 )) f 0 x 0) = 1 20) and { x0 = f 1 f 0 x 0 )) f 1 f 0 x 0 )) f 0 x 0) = 1 21) Usin the command resultant in Mathematica or Maple Software, we eliminate the variable x 0 in both systems Eq 20 yields a 0 a a 2 0a a 3 0a a 0 a a 2 0a a 3 0a a 0 a a 2 0a a 3 0a a 4 0a a 3 0a a 4 0a 4 1 = 0 while Eq 21 yields a 0 a a 2 0a a 3 0a a 0 a a 2 0a a 3 0a a 0 a a 2 0a a 3 0a a 4 0a a 3 0a a 4 0a 4 1 = 0 For each one of these two equations we invoke the implicit function theorem to plot, in the a 0, a 1 ) plane, the bifurcation curves see fiure 4) The black curves are the solutions of the first equation, while the rey curves are the solutions of the second equation For values of a 0 and a 1 in reion A, the fixed point x = 0 of W is lobally asymptotically stable For values of a 0, a 1 4, 527), approximately, in the reion B, we have one lobally asymptotically stable 2 periodic cycle Moreover, in the same reion B and for values

15 REFERENCES D 8 C 1 E a B C 2 A a 0 Fiure 4 Bifurcations curves for the 2 periodic nonautonomous difference equation with Allee effects x n+1 = a nx 2 n1 x n), a n+2 = a n and x n+2 = x n in the a 0, a 1 ) plane a 0, a 1 527, ), approximately, system W has two asymptotically stable 2 periodic cycles Computation shows that the hypotheses of theorem 62 are satisfied when a 0 and a 1 belon to a curve between A and B Consequently, this curve is the Saddle-node curve The black cusp is the pitchfork bifurcation curve In reion D, system W has two asymptotically stable 2 periodic cycles The rey curves are where the period-doublin occurs Therefore, for certain values of the parameters a 0 and a 1 in reions C 1, C 2, and E, the system W has two asymptotically stable 4 periodic cycles One rose from the period-doublin and the other from the pitchfork bifurcation References [1] W C Allee, The Social Life of Animals, William Heinemann, London 1938 [2] L Allen, J Faan, G Honas, and H Faerholm, Population extinction in discrete-time stochastic population models with an Allee effect, Journal of Difference Equations and Applications, Vol 11, No ), pp [3] Z AlSharawi and J Anelos, On the periodic loistic equation, Appl Math Comput, Vol 180, No 1, pp , 2006 [4] Z AlSharawi, J Anelos, S Elaydi and L Rakesh, An extension of Sharkovsky s theorem to periodic difference equations, J Math Anal Appl, J Math Anal Appl, Vol 316, , 2006 [5] F Courchamp, L Berec, and J Gascoine, Allee effects in Ecoloy and Conservation, Oxford University Press, 2008 [6] B Dennis, Allee effects: population rowth, critical density, and the chance of extinction, Nat Res Model, 3, pp , 1989 [7] J M Cushin, Oscillations in ae-structured population models with an Allee effect, Journal of Computational and Applied Mathematics 52, 71-80, 1994 [8] S Elaydi, Discrete Chaos: With Applications in Science and Enineerin, Chapman and Hall/CRC, Second Edition, 2008 [9] S Elaydi, and R Sacker, Skew-product dynamical systems: Applications to difference equations, Proceedins of the Second Annual Celebration of Mathematics, United Arab Emirates, 2005 [10] S Elaydi, and R Sacker, Global stability of periodic orbits of nonautonomous difference equations and population bioloy, Journal of Differential Equations, Vol 208, pp )

16 16 REFERENCES [11] S Henson, Multiple attractors an resonance in periodically forced population models, Physica D 140, pp 33-49, 2000 [12] J Li, B Son and X Wan, An extended discrete Ricker population model with Allee effects, Journal of Difference Equations and Applications, Vol 13, No ), pp [13] R Luís, SElaydi and H Oliveira, An economic model with Allee effect, Journal of Difference Equations and Applications, to appear [14] H Oliveira and E D Aniello, Pitchfork bifurcation for non autonomous interval maps, Journal of Difference Equations and Applications, to appear [15] A Yakubu, Multiple Attractors in Juvenile-adult Sinle Species Models, J Differ Equ Appl, Vol 9, No ), pp [16] A Yakubu, Allee effects in a discrete-time SIS epidemic model with infected newborns, J Differ Equ Appl Vol 13, No ), pp [17] R Sacker and S Elaydi, Population models with Allee effects: A new model, in proress, 2008 [18] R Sacker and J Sell, Liftin properties in skew-product flows with applications to Differential Equations, AMS Memoirs, Vol 11, No 190, 1977 [19] S Schreiber, Allee effects, extinctions, and chaotic transients in simple population models, Theoretical Populations Bioloy, ), [20] J Selrade and H Roberds, On the structure of attractors for discrete periodically forced systems with applications to populations models, Physica D, 158, 69-82, 2001 [21] R Sophia and J Jan, Allee effects in a discrete-time host-parasitoid model, Journal of Difference Equations and Applications, Vol 12, No ),

On the periodic logistic equation

On the periodic logistic equation On the periodic logistic equation Ziyad AlSharawi a,1 and James Angelos a, a Central Michigan University, Mount Pleasant, MI 48858 Abstract We show that the p-periodic logistic equation x n+1 = µ n mod

More information

Nonautonomous difference equations: Open problems and conjectures

Nonautonomous difference equations: Open problems and conjectures Trinity University Digital Commons @ Trinity Mathematics Faculty Research Mathematics Department 7-2003 Nonautonomous difference equations: Open problems and conjectures Saber Elaydi Trinity University,

More information

Population Models with Allee Effect: A New Model

Population Models with Allee Effect: A New Model Trinity University Digital Commons @ Trinity Mathematics Faculty Research Mathematics Department 7-2010 Population Models with Allee Effect: A New Model Saber Elaydi Trinity University, selaydi@trinity.edu

More information

RESEARCH ARTICLE. Population Models with Allee Effect: A New Model

RESEARCH ARTICLE. Population Models with Allee Effect: A New Model Journal of Biological Dynamics Vol. 00, No. 00, February 18 2009, 1 13 RESEARCH ARTICLE Population Models with Allee Effect: A New Model Saber N. Elaydi and Robert J. Sacker Department of Mathematics,

More information

On the global dynamics of periodic triangular maps

On the global dynamics of periodic triangular maps arxiv:1605.09631v1 [math.ds] 31 May 2016 On the global dynamics of periodic triangular maps Rafael Luís 1,2 2 University of Madeira, Funchal, Madeira, Portugal. 3 Center for Mathematical Analysis, Geometry,

More information

Global stability of periodic orbits of nonautonomous difference equations in population biology and the Cushing-Henson conjectures

Global stability of periodic orbits of nonautonomous difference equations in population biology and the Cushing-Henson conjectures Global stability of periodic orbits of nonautonomous difference equations in population biology and the Cushing-Henson conjectures Saber Elaydi Department of Mathematics Trinity University San Antonio,

More information

Nonautonomous Beverton-Holt Equations and the Cushing-Henson Conjectures

Nonautonomous Beverton-Holt Equations and the Cushing-Henson Conjectures Trinity University Digital Commons @ Trinity Mathematics Faculty Research Mathematics Department 4-2005 Nonautonomous Beverton-Holt Equations and the Cushing-Henson Conjectures Saber Elaydi Trinity University,

More information

Periodic difference equations, population biology and the Cushing-Henson conjectures

Periodic difference equations, population biology and the Cushing-Henson conjectures Periodic difference equations, population biology and the Cushing-Henson conjectures Saber Elaydi Department of Mathematics Trinity University San Antonio, Texas 78212, USA E-mail: selaydi@trinity.edu

More information

Periodic difference equations, population biology and the Cushing-Henson conjectures

Periodic difference equations, population biology and the Cushing-Henson conjectures Periodic difference equations, population biology and the Cushing-Henson conjectures Saber Elaydi Department of Mathematics Trinity University San Antonio, Texas 78212, USA E-mail: selaydi@trinity.edu

More information

An economic Economical Model with Allee

An economic Economical Model with Allee An economic Economical Model with Allee effect Henrique Oliveira Department of Mathematics Instituto Superior Técnico, Technical University of Lisbon, Portugal holiv@math.ist.utl.pt Rafael Luís Center

More information

C. Non-linear Difference and Differential Equations: Linearization and Phase Diagram Technique

C. Non-linear Difference and Differential Equations: Linearization and Phase Diagram Technique C. Non-linear Difference and Differential Equations: Linearization and Phase Diaram Technique So far we have discussed methods of solvin linear difference and differential equations. Let us now discuss

More information

Renormalization Group Theory

Renormalization Group Theory Chapter 16 Renormalization Group Theory In the previous chapter a procedure was developed where hiher order 2 n cycles were related to lower order cycles throuh a functional composition and rescalin procedure.

More information

Global Attractivity of a Higher-Order Nonlinear Difference Equation

Global Attractivity of a Higher-Order Nonlinear Difference Equation International Journal of Difference Equations ISSN 0973-6069, Volume 5, Number 1, pp. 95 101 (010) http://campus.mst.edu/ijde Global Attractivity of a Higher-Order Nonlinear Difference Equation Xiu-Mei

More information

B5.6 Nonlinear Systems

B5.6 Nonlinear Systems B5.6 Nonlinear Systems 5. Global Bifurcations, Homoclinic chaos, Melnikov s method Alain Goriely 2018 Mathematical Institute, University of Oxford Table of contents 1. Motivation 1.1 The problem 1.2 A

More information

Chaos in the Dynamics of the Family of Mappings f c (x) = x 2 x + c

Chaos in the Dynamics of the Family of Mappings f c (x) = x 2 x + c IOSR Journal of Mathematics (IOSR-JM) e-issn: 78-578, p-issn: 319-765X. Volume 10, Issue 4 Ver. IV (Jul-Aug. 014), PP 108-116 Chaos in the Dynamics of the Family of Mappings f c (x) = x x + c Mr. Kulkarni

More information

Math 345 Intro to Math Biology Lecture 7: Models of System of Nonlinear Difference Equations

Math 345 Intro to Math Biology Lecture 7: Models of System of Nonlinear Difference Equations Math 345 Intro to Math Biology Lecture 7: Models of System of Nonlinear Difference Equations Junping Shi College of William and Mary, USA Equilibrium Model: x n+1 = f (x n ), here f is a nonlinear function

More information

Linearized optimal power flow

Linearized optimal power flow Linearized optimal power flow. Some introductory comments The advantae of the economic dispatch formulation to obtain minimum cost allocation of demand to the eneration units is that it is computationally

More information

(x k ) sequence in F, lim x k = x x F. If F : R n R is a function, level sets and sublevel sets of F are any sets of the form (respectively);

(x k ) sequence in F, lim x k = x x F. If F : R n R is a function, level sets and sublevel sets of F are any sets of the form (respectively); STABILITY OF EQUILIBRIA AND LIAPUNOV FUNCTIONS. By topological properties in general we mean qualitative geometric properties (of subsets of R n or of functions in R n ), that is, those that don t depend

More information

CHAOTIC UNIMODAL AND BIMODAL MAPS

CHAOTIC UNIMODAL AND BIMODAL MAPS CHAOTIC UNIMODAL AND BIMODAL MAPS FRED SHULTZ Abstract. We describe up to conjugacy all unimodal and bimodal maps that are chaotic, by giving necessary and sufficient conditions for unimodal and bimodal

More information

Isotropic diffeomorphisms: solutions to a differential system for a deformed random fields study

Isotropic diffeomorphisms: solutions to a differential system for a deformed random fields study Isotropic diffeomorphisms: solutions to a differential system for a deformed random fields study Marc Briant, Julie Fournier To cite this version: Marc Briant, Julie Fournier. Isotropic diffeomorphisms:

More information

Phase Diagrams: construction and comparative statics

Phase Diagrams: construction and comparative statics 1 / 11 Phase Diarams: construction and comparative statics November 13, 215 Alecos Papadopoulos PhD Candidate Department of Economics, Athens University of Economics and Business papadopalex@aueb.r, https://alecospapadopoulos.wordpress.com

More information

Journal of Inequalities in Pure and Applied Mathematics

Journal of Inequalities in Pure and Applied Mathematics Journal of Inequalities in Pure and Applied Mathematics L HOSPITAL TYPE RULES FOR OSCILLATION, WITH APPLICATIONS IOSIF PINELIS Department of Mathematical Sciences, Michian Technoloical University, Houhton,

More information

STRONG GLOBAL ATTRACTOR FOR A QUASILINEAR NONLOCAL WAVE EQUATION ON R N

STRONG GLOBAL ATTRACTOR FOR A QUASILINEAR NONLOCAL WAVE EQUATION ON R N Electronic Journal of Differential Equations, Vol. 2006(2006), No. 77, pp. 1 10. ISSN: 1072-6691. URL: http://ejde.math.txstate.edu or http://ejde.math.unt.edu ftp ejde.math.txstate.edu (loin: ftp) STRONG

More information

2 One-dimensional models in discrete time

2 One-dimensional models in discrete time 2 One-dimensional models in discrete time So far, we have assumed that demographic events happen continuously over time and can thus be written as rates. For many biological species with overlapping generations

More information

Faà di Bruno s Formula and Nonhyperbolic Fixed Points of One-Dimensional Maps

Faà di Bruno s Formula and Nonhyperbolic Fixed Points of One-Dimensional Maps Faà di Bruno s Formula and Nonhyperbolic Fixed Points of One-Dimensional Maps Vadim Ponomarenko Department of Mathematics, Trinity University, 715 Stadium Drive, San Antonio, Texas 781-700 E-mail: vadim@trinity.edu

More information

Extinction and the Allee Effect in an Age Structured Population Model

Extinction and the Allee Effect in an Age Structured Population Model AMS Special Session: Difference Equations and Applications Extinction and the Allee Effect in an Age Structured Population Model Nika Lazaryan and Hassan Sedaghat Department of Mathematics Virginia Commonwealth

More information

Saber N. Elaydi CONTACT:

Saber N. Elaydi CONTACT: CURRICULUM VITA Saber N. Elaydi ADDRESS Trinity University Department of Mathematics One Trinity Place San Antonio, Texas 78212-7200 CONTACT: Work: Home: Email: Fax: (210) 999-8246 (210) 825-0065 selaydi@trinity.ed

More information

An economic Economical Model with Allee

An economic Economical Model with Allee An economic Economical Model with Allee effect Henrique Oliveira Rafael Luís Saber Elaydi Lisbon, March 27, 2008 Abstract: The Marx model for the profit rate r depending on the exploitation rate e and

More information

Research Article Analysis of a Heterogeneous Trader Model for Asset Price Dynamics

Research Article Analysis of a Heterogeneous Trader Model for Asset Price Dynamics Discrete Dynamics in Nature and Society Volume, Article ID 3957, paes doi:.55//3957 Research Article Analysis of a Heteroeneous Trader Model for Asset Price Dynamics Andrew Foster and Natasha Kirby Department

More information

A DISCRETE-TIME HOST-PARASITOID MODEL

A DISCRETE-TIME HOST-PARASITOID MODEL A DISCRETE-TIME HOST-PARASITOID MODEL SOPHIA R.-J. JANG AND JUI-LING YU We study a discrete-time host-parasitoid model proposed by May et al. In this model, the parasitoid attacks the host first then followed

More information

Global Stability for Mixed Monotone Systems

Global Stability for Mixed Monotone Systems uly 1, 007 9:44 Journal of Difference Equations and Applications mixedmonotonesystemsfinal Journal of Difference Equations and Applications, Vol. 00, No. 00, Month 00x, 1 6 Global Stability for Mixed Monotone

More information

... it may happen that small differences in the initial conditions produce very great ones in the final phenomena. Henri Poincaré

... it may happen that small differences in the initial conditions produce very great ones in the final phenomena. Henri Poincaré Chapter 2 Dynamical Systems... it may happen that small differences in the initial conditions produce very great ones in the final phenomena. Henri Poincaré One of the exciting new fields to arise out

More information

DYNAMICS AND BEHAVIOR OF HIGHER ORDER AND NONLINEAR RATIONAL DIFFERENCE EQUATION

DYNAMICS AND BEHAVIOR OF HIGHER ORDER AND NONLINEAR RATIONAL DIFFERENCE EQUATION DYNAMICS AND BEHAVIOR OF HIGHER ORDER AND NONLINEAR RATIONAL DIFFERENCE EQUATION Nirmaladevi.S 1, Karthikeyan.N 2 1 Research scholar in mathematics Vivekanha college of Arts Science for Women (Autonomous)

More information

FAÀ DI BRUNO S FORMULA AND NONHYPERBOLIC FIXED POINTS OF ONE-DIMENSIONAL MAPS

FAÀ DI BRUNO S FORMULA AND NONHYPERBOLIC FIXED POINTS OF ONE-DIMENSIONAL MAPS IJMMS 00:9 153 159 PII. S0161171030653 http://ijmms.hindawi.com Hindawi Publishing Corp. FAÀ DI BRUNO S FORMULA AND NONHYPERBOLIC FIXED POINTS OF ONE-DIMENSIONAL MAPS VADIM PONOMARENKO Received June 003

More information

Attenuant cycles in periodically forced discrete-time age-structured population models

Attenuant cycles in periodically forced discrete-time age-structured population models J Math Anal Appl 316 2006) 69 86 wwwelseviercom/locate/jmaa Attenuant cycles in periodically forced discrete-time age-structured population models John E Franke a, Abdul-Aziz Yakubu b, a Department of

More information

Global Dynamics of Some Periodically Forced, Monotone Di erence Equations

Global Dynamics of Some Periodically Forced, Monotone Di erence Equations Global Dynamics of Some Periodically Forced, Monotone Dierence Equations J. M. CUSHING Department of Mathematics University of Arizona Tucson, AZ 857-0089 SHANDELLE M. HENSON Department of Mathematics

More information

Asynchronous and Synchronous Dispersals in Spatially Discrete Population Models

Asynchronous and Synchronous Dispersals in Spatially Discrete Population Models SIAM J. APPLIED DYNAMICAL SYSTEMS Vol. 7, No. 2, pp. 284 310 c 2008 Society for Industrial and Applied Mathematics Asynchronous and Synchronous Dispersals in Spatially Discrete Population Models Abdul-Aziz

More information

On the Dynamics of a Rational Difference Equation, Part 1

On the Dynamics of a Rational Difference Equation, Part 1 International Journal of Difference Equations (IJDE). ISSN 0973-6069 Volume 3 Number 1 (2008), pp. 1 35 Research India Publications http://www.ripublication.com/ijde.htm On the Dynamics of a Rational Difference

More information

One Dimensional Dynamical Systems

One Dimensional Dynamical Systems 16 CHAPTER 2 One Dimensional Dynamical Systems We begin by analyzing some dynamical systems with one-dimensional phase spaces, and in particular their bifurcations. All equations in this Chapter are scalar

More information

B5.6 Nonlinear Systems

B5.6 Nonlinear Systems B5.6 Nonlinear Systems 4. Bifurcations Alain Goriely 2018 Mathematical Institute, University of Oxford Table of contents 1. Local bifurcations for vector fields 1.1 The problem 1.2 The extended centre

More information

Bifurcation of Fixed Points

Bifurcation of Fixed Points Bifurcation of Fixed Points CDS140B Lecturer: Wang Sang Koon Winter, 2005 1 Introduction ẏ = g(y, λ). where y R n, λ R p. Suppose it has a fixed point at (y 0, λ 0 ), i.e., g(y 0, λ 0 ) = 0. Two Questions:

More information

Problem Set 5 Solutions

Problem Set 5 Solutions Problem Set 5 Solutions Dorian Abbot APM47 0/8/04. (a) We consider π θ π. The pendulum pointin down corresponds to θ=0 and the pendulum pointin up corresponds to θ π. Define ν θ. The system can be rewritten:

More information

Research Article Global Dynamics of a Competitive System of Rational Difference Equations in the Plane

Research Article Global Dynamics of a Competitive System of Rational Difference Equations in the Plane Hindawi Publishing Corporation Advances in Difference Equations Volume 009 Article ID 1380 30 pages doi:101155/009/1380 Research Article Global Dynamics of a Competitive System of Rational Difference Equations

More information

An Algebraic View of the Relation between Largest Common Subtrees and Smallest Common Supertrees

An Algebraic View of the Relation between Largest Common Subtrees and Smallest Common Supertrees An Algebraic View of the Relation between Largest Common Subtrees and Smallest Common Supertrees Francesc Rosselló 1, Gabriel Valiente 2 1 Department of Mathematics and Computer Science, Research Institute

More information

c 2006 Society for Industrial and Applied Mathematics

c 2006 Society for Industrial and Applied Mathematics SIAM J. APPL. MATH. Vol. 66, No. 5, pp. 1563 1587 c 2006 Society for Industrial and Applied Mathematics DISCRETE-TIME SIS EPIDEMIC MODEL IN A SEASONAL ENVIRONMENT JOHN E. FRANKE AND ABDUL-AZIZ YAKUBU Abstract.

More information

Dynamics of Modified Leslie-Gower Predator-Prey Model with Predator Harvesting

Dynamics of Modified Leslie-Gower Predator-Prey Model with Predator Harvesting International Journal of Basic & Applied Sciences IJBAS-IJENS Vol:13 No:05 55 Dynamics of Modified Leslie-Gower Predator-Prey Model with Predator Harvesting K. Saleh Department of Mathematics, King Fahd

More information

Research Article Global Attractivity of a Higher-Order Difference Equation

Research Article Global Attractivity of a Higher-Order Difference Equation Discrete Dynamics in Nature and Society Volume 2012, Article ID 930410, 11 pages doi:10.1155/2012/930410 Research Article Global Attractivity of a Higher-Order Difference Equation R. Abo-Zeid Department

More information

Nonhyperbolic Dynamics for Competitive Systems in the Plane and Global Period-doubling Bifurcations

Nonhyperbolic Dynamics for Competitive Systems in the Plane and Global Period-doubling Bifurcations Advances in Dynamical Systems and Applications ISSN 0973-5321, Volume 3, Number 2, pp. 229 249 (2008) http://campus.mst.edu/adsa Nonhyperbolic Dynamics for Competitive Systems in the Plane and Global Period-doubling

More information

STABILITY OF THE kth ORDER LYNESS EQUATION WITH A PERIOD-k COEFFICIENT

STABILITY OF THE kth ORDER LYNESS EQUATION WITH A PERIOD-k COEFFICIENT International Journal of Bifurcation Chaos Vol 7 No 2007 43 52 c World Scientific Publishing Company STABILITY OF THE kth ORDER LYNESS EQUATION WITH A PERIOD-k COEFFICIENT E J JANOWSKI M R S KULENOVIĆ

More information

PERIODIC POINTS OF THE FAMILY OF TENT MAPS

PERIODIC POINTS OF THE FAMILY OF TENT MAPS PERIODIC POINTS OF THE FAMILY OF TENT MAPS ROBERTO HASFURA-B. AND PHILLIP LYNCH 1. INTRODUCTION. Of interest in this article is the dynamical behavior of the one-parameter family of maps T (x) = (1/2 x

More information

Fundamentals of Dynamical Systems / Discrete-Time Models. Dr. Dylan McNamara people.uncw.edu/ mcnamarad

Fundamentals of Dynamical Systems / Discrete-Time Models. Dr. Dylan McNamara people.uncw.edu/ mcnamarad Fundamentals of Dynamical Systems / Discrete-Time Models Dr. Dylan McNamara people.uncw.edu/ mcnamarad Dynamical systems theory Considers how systems autonomously change along time Ranges from Newtonian

More information

8.1 Bifurcations of Equilibria

8.1 Bifurcations of Equilibria 1 81 Bifurcations of Equilibria Bifurcation theory studies qualitative changes in solutions as a parameter varies In general one could study the bifurcation theory of ODEs PDEs integro-differential equations

More information

Discrete dynamics on the real line

Discrete dynamics on the real line Chapter 2 Discrete dynamics on the real line We consider the discrete time dynamical system x n+1 = f(x n ) for a continuous map f : R R. Definitions The forward orbit of x 0 is: O + (x 0 ) = {x 0, f(x

More information

11. S. Jang, Dynamics of a discrete host-parasitoid system with stocking, Discrete Dynamics

11. S. Jang, Dynamics of a discrete host-parasitoid system with stocking, Discrete Dynamics Sophia Jang Department of Mathematics and Statistics Texas Tech University Office: MA202 Phone: (806) 834-7006 Fax: (806) 742-1112 E-mail: sophia.jang@ttu.edu Publications 1. M. De Silva, S. Jang, Period-doubling

More information

Online Appendix for Bailout Stigma

Online Appendix for Bailout Stigma Online Appendix for Bailout Stima Yeon-Koo Che Chonwoo Choe Keeyoun Rhee Auust 1, 2018 A Technical Preliminaries In this section, we derive technical results that will be used frequently in the proofs.

More information

Physics 20 Homework 1 SIMS 2016

Physics 20 Homework 1 SIMS 2016 Physics 20 Homework 1 SIMS 2016 Due: Wednesday, Auust 17 th Problem 1 The idea of this problem is to et some practice in approachin a situation where you miht not initially know how to proceed, and need

More information

One dimensional Maps

One dimensional Maps Chapter 4 One dimensional Maps The ordinary differential equation studied in chapters 1-3 provide a close link to actual physical systems it is easy to believe these equations provide at least an approximate

More information

PERIODICITY AND CHAOS ON A MODIFIED SAMUELSON MODEL

PERIODICITY AND CHAOS ON A MODIFIED SAMUELSON MODEL PERIODICITY AND CHAOS ON A MODIFIED SAMUELSON MODEL Jose S. Cánovas Departamento de Matemática Aplicada y Estadística. Universidad Politécnica de Cartagena e-mail:jose.canovas@upct.es Manuel Ruiz Marín

More information

Signature Function for Predicting Resonant and Attenuant Population 2-cycles

Signature Function for Predicting Resonant and Attenuant Population 2-cycles DOI 10.1007/s11538-005-9086-8 ORIGINAL PAPER Signature Function for Predicting Resonant and Attenuant Population -cycles John E. Franke a, and Abdul-Aziz Yakubu b a Department of Mathematics, North Carolina

More information

RESEARCH ARTICLE. Stability of a Ricker-type competition model and the competition exclusion principle

RESEARCH ARTICLE. Stability of a Ricker-type competition model and the competition exclusion principle Journal of Biological Dynamics Vol. 00, No. 00, Month 2011, 1 27 RESEARCH ARTICLE Stability of a Ricker-type competition model and the competition exclusion principle Rafael Luís, a Saber Elaydi b and

More information

WHAT IS A CHAOTIC ATTRACTOR?

WHAT IS A CHAOTIC ATTRACTOR? WHAT IS A CHAOTIC ATTRACTOR? CLARK ROBINSON Abstract. Devaney gave a mathematical definition of the term chaos, which had earlier been introduced by Yorke. We discuss issues involved in choosing the properties

More information

MATH 409 Advanced Calculus I Lecture 10: Continuity. Properties of continuous functions.

MATH 409 Advanced Calculus I Lecture 10: Continuity. Properties of continuous functions. MATH 409 Advanced Calculus I Lecture 10: Continuity. Properties of continuous functions. Continuity Definition. Given a set E R, a function f : E R, and a point c E, the function f is continuous at c if

More information

arxiv: v1 [math.ds] 11 Feb 2011

arxiv: v1 [math.ds] 11 Feb 2011 Journal of Biological Dynamics Vol. 00, No. 00, October 2011, 1 20 RESEARCH ARTICLE Global Dynamics of a Discrete Two-species Lottery-Ricker Competition Model arxiv:1102.2286v1 [math.ds] 11 Feb 2011 Yun

More information

EXISTENCE OF CONJUGACIES AND STABLE MANIFOLDS VIA SUSPENSIONS

EXISTENCE OF CONJUGACIES AND STABLE MANIFOLDS VIA SUSPENSIONS Electronic Journal of Differential Equations, Vol. 2017 (2017), No. 172, pp. 1 11. ISSN: 1072-6691. URL: http://ejde.math.txstate.edu or http://ejde.math.unt.edu EXISTENCE OF CONJUGACIES AND STABLE MANIFOLDS

More information

Spectrum for compact operators on Banach spaces

Spectrum for compact operators on Banach spaces Submitted to Journal of the Mathematical Society of Japan Spectrum for compact operators on Banach spaces By Luis Barreira, Davor Dragičević Claudia Valls (Received Nov. 22, 203) (Revised Jan. 23, 204)

More information

LOCAL STABILITY IMPLIES GLOBAL STABILITY IN SOME ONE-DIMENSIONAL DISCRETE SINGLE-SPECIES MODELS. Eduardo Liz. (Communicated by Linda Allen)

LOCAL STABILITY IMPLIES GLOBAL STABILITY IN SOME ONE-DIMENSIONAL DISCRETE SINGLE-SPECIES MODELS. Eduardo Liz. (Communicated by Linda Allen) DISCRETE AND CONTINUOUS Website: http://aimsciences.org DYNAMICAL SYSTEMS SERIES B Volume 7, Number 1, January 2007 pp. 191 199 LOCAL STABILITY IMPLIES GLOBAL STABILITY IN SOME ONE-DIMENSIONAL DISCRETE

More information

MATH 415, WEEKS 14 & 15: 1 Recurrence Relations / Difference Equations

MATH 415, WEEKS 14 & 15: 1 Recurrence Relations / Difference Equations MATH 415, WEEKS 14 & 15: Recurrence Relations / Difference Equations 1 Recurrence Relations / Difference Equations In many applications, the systems are updated in discrete jumps rather than continuous

More information

Monotone and oscillatory solutions of a rational difference equation containing quadratic terms

Monotone and oscillatory solutions of a rational difference equation containing quadratic terms Monotone and oscillatory solutions of a rational difference equation containing quadratic terms M. Dehghan, C.M. Kent, R. Mazrooei-Sebdani N.L. Ortiz, H. Sedaghat * Department of Mathematics, Virginia

More information

Global Attractivity in a Higher Order Nonlinear Difference Equation

Global Attractivity in a Higher Order Nonlinear Difference Equation Applied Mathematics E-Notes, (00), 51-58 c ISSN 1607-510 Available free at mirror sites of http://www.math.nthu.edu.tw/ amen/ Global Attractivity in a Higher Order Nonlinear Difference Equation Xing-Xue

More information

ALMOST PERIODIC SOLUTIONS OF NON-AUTONOMOUS BEVERTON-HOLT DIFFERENCE EQUATION. 1. Introduction

ALMOST PERIODIC SOLUTIONS OF NON-AUTONOMOUS BEVERTON-HOLT DIFFERENCE EQUATION. 1. Introduction ALMOST PERIODIC SOLUTIONS OF NON-AUTONOMOUS BEVERTON-HOLT DIFFERENCE EQUATION DAVID CHEBAN AND CRISTIANA MAMMANA Abstract. The article is devoted to the study of almost periodic solutions of difference

More information

Part II. Dynamical Systems. Year

Part II. Dynamical Systems. Year Part II Year 2017 2016 2015 2014 2013 2012 2011 2010 2009 2008 2007 2006 2005 2017 34 Paper 1, Section II 30A Consider the dynamical system where β > 1 is a constant. ẋ = x + x 3 + βxy 2, ẏ = y + βx 2

More information

ON THE RATIONAL RECURSIVE SEQUENCE X N+1 = γx N K + (AX N + BX N K ) / (CX N DX N K ) Communicated by Mohammad Asadzadeh. 1.

ON THE RATIONAL RECURSIVE SEQUENCE X N+1 = γx N K + (AX N + BX N K ) / (CX N DX N K ) Communicated by Mohammad Asadzadeh. 1. Bulletin of the Iranian Mathematical Society Vol. 36 No. 1 (2010), pp 103-115. ON THE RATIONAL RECURSIVE SEQUENCE X N+1 γx N K + (AX N + BX N K ) / (CX N DX N K ) E.M.E. ZAYED AND M.A. EL-MONEAM* Communicated

More information

Introduction to Applied Nonlinear Dynamical Systems and Chaos

Introduction to Applied Nonlinear Dynamical Systems and Chaos Stephen Wiggins Introduction to Applied Nonlinear Dynamical Systems and Chaos Second Edition With 250 Figures 4jj Springer I Series Preface v L I Preface to the Second Edition vii Introduction 1 1 Equilibrium

More information

A PROOF THAT S-UNIMODAL MAPS ARE COLLET-ECKMANN MAPS IN A SPECIFIC RANGE OF THEIR BIFURCATION PARAMETERS. Zeraoulia Elhadj and J. C.

A PROOF THAT S-UNIMODAL MAPS ARE COLLET-ECKMANN MAPS IN A SPECIFIC RANGE OF THEIR BIFURCATION PARAMETERS. Zeraoulia Elhadj and J. C. Acta Universitatis Apulensis ISSN: 1582-5329 No. 34/2013 pp. 51-55 A PROOF THAT S-UNIMODAL MAPS ARE COLLET-ECKMANN MAPS IN A SPECIFIC RANGE OF THEIR BIFURCATION PARAMETERS Zeraoulia Elhadj and J. C. Sprott

More information

XIUMEI LI AND MIN SHA

XIUMEI LI AND MIN SHA GAUSS FACTORIALS OF POLYNOMIALS OVER FINITE FIELDS arxiv:1704.0497v [math.nt] 18 Apr 017 XIUMEI LI AND MIN SHA Abstract. In this paper we initiate a study on Gauss factorials of polynomials over finite

More information

Homework 8 Solutions to Selected Problems

Homework 8 Solutions to Selected Problems Homework 8 Solutions to Selected Problems June 7, 01 1 Chapter 17, Problem Let f(x D[x] and suppose f(x is reducible in D[x]. That is, there exist polynomials g(x and h(x in D[x] such that g(x and h(x

More information

arxiv: v1 [cs.dm] 22 Jan 2019

arxiv: v1 [cs.dm] 22 Jan 2019 PARTIAL ORDER ON THE SET OF BOOLEAN REGULATORY FUNCTIONS A PREPRINT arxiv:1901.07623v1 [cs.dm] 22 Jan 2019 José E.R. Cury Departamento de Automação e Sistemas Universidade Federal de Santa Catarina, Florianópolis,

More information

Agenda Sections 2.4, 2.5

Agenda Sections 2.4, 2.5 Agenda Sections 2.4, 2.5 Reminders Read 3.1, 3.2 Do problems for 2.4, 2.5 Homework 1 due Friday Midterm Exam I on 1/23 Lab on Friday (Shapiro 2054) Office hours Tues, Thurs 3-4:30 pm (5852 East Hall) Theorem:

More information

The Dynamic Properties of a Deterministic SIR Epidemic Model in Discrete-Time

The Dynamic Properties of a Deterministic SIR Epidemic Model in Discrete-Time Applied Mathematics, 05, 6, 665-675 Published Online September 05 in SciRes http://wwwscirporg/journal/am http://dxdoiorg/046/am056048 The Dynamic Properties of a Deterministic SIR Epidemic Model in Discrete-Time

More information

ANALYZE In all three cases (a) (c), the reading on the scale is. w = mg = (11.0 kg) (9.8 m/s 2 ) = 108 N.

ANALYZE In all three cases (a) (c), the reading on the scale is. w = mg = (11.0 kg) (9.8 m/s 2 ) = 108 N. Chapter 5 1. We are only concerned with horizontal forces in this problem (ravity plays no direct role). We take East as the +x direction and North as +y. This calculation is efficiently implemented on

More information

The Invariant Curve in a Planar System of Difference Equations

The Invariant Curve in a Planar System of Difference Equations Advances in Dynamical Systems and Applications ISSN 0973-5321, Volume 13, Number 1, pp. 59 71 2018 http://campus.mst.edu/adsa The Invariant Curve in a Planar System of Difference Equations Senada Kalabušić,

More information

Lecture 3. Dynamical Systems in Continuous Time

Lecture 3. Dynamical Systems in Continuous Time Lecture 3. Dynamical Systems in Continuous Time University of British Columbia, Vancouver Yue-Xian Li November 2, 2017 1 3.1 Exponential growth and decay A Population With Generation Overlap Consider a

More information

Indeterminacy in discrete-time infinite-horizon models with non linear utility and endogenous labor

Indeterminacy in discrete-time infinite-horizon models with non linear utility and endogenous labor Indeterminacy in discrete-time infinite-horizon models with non linear utility and endoenous labor Kazuo NISHIMURA Institute of Economic Research, Kyoto University, Japan and Alain VENDII CNRS - GREQAM,

More information

Complicated behavior of dynamical systems. Mathematical methods and computer experiments.

Complicated behavior of dynamical systems. Mathematical methods and computer experiments. Complicated behavior of dynamical systems. Mathematical methods and computer experiments. Kuznetsov N.V. 1, Leonov G.A. 1, and Seledzhi S.M. 1 St.Petersburg State University Universitetsky pr. 28 198504

More information

ME 680- Spring Geometrical Analysis of 1-D Dynamical Systems

ME 680- Spring Geometrical Analysis of 1-D Dynamical Systems ME 680- Spring 2014 Geometrical Analysis of 1-D Dynamical Systems 1 Geometrical Analysis of 1-D Dynamical Systems Logistic equation: n = rn(1 n) velocity function Equilibria or fied points : initial conditions

More information

4. We accept without proofs that the following functions are differentiable: (e x ) = e x, sin x = cos x, cos x = sin x, log (x) = 1 sin x

4. We accept without proofs that the following functions are differentiable: (e x ) = e x, sin x = cos x, cos x = sin x, log (x) = 1 sin x 4 We accept without proofs that the following functions are differentiable: (e x ) = e x, sin x = cos x, cos x = sin x, log (x) = 1 sin x x, x > 0 Since tan x = cos x, from the quotient rule, tan x = sin

More information

MATH 409 Advanced Calculus I Lecture 11: More on continuous functions.

MATH 409 Advanced Calculus I Lecture 11: More on continuous functions. MATH 409 Advanced Calculus I Lecture 11: More on continuous functions. Continuity Definition. Given a set E R, a function f : E R, and a point c E, the function f is continuous at c if for any ε > 0 there

More information

Key words and phrases. Bifurcation, Difference Equations, Fixed Points, Predator - Prey System, Stability.

Key words and phrases. Bifurcation, Difference Equations, Fixed Points, Predator - Prey System, Stability. ISO 9001:008 Certified Volume, Issue, March 013 Dynamical Behavior in a Discrete Prey- Predator Interactions M.ReniSagaya Raj 1, A.George Maria Selvam, R.Janagaraj 3.and D.Pushparajan 4 1,,3 Sacred Heart

More information

Dynamic Reduction with applications to Mathematical Biology and other areas

Dynamic Reduction with applications to Mathematical Biology and other areas Journal of Biological Dynamics Vol. 00, No. 00, Month-Month 200x, 1 15 Dynamic Reduction with applications to Mathematical Biology and other areas Robert J. Sacker and Hubertus F. von Bremen Department

More information

Stability of a Class of Singular Difference Equations

Stability of a Class of Singular Difference Equations International Journal of Difference Equations. ISSN 0973-6069 Volume 1 Number 2 2006), pp. 181 193 c Research India Publications http://www.ripublication.com/ijde.htm Stability of a Class of Singular Difference

More information

Equivariant self-similar wave maps from Minkowski spacetime into 3-sphere

Equivariant self-similar wave maps from Minkowski spacetime into 3-sphere Equivariant self-similar wave maps from Minkowski spacetime into 3-sphere arxiv:math-ph/99126v1 17 Oct 1999 Piotr Bizoń Institute of Physics, Jagellonian University, Kraków, Poland March 26, 28 Abstract

More information

An Introduction to Evolutionary Game Theory: Lecture 2

An Introduction to Evolutionary Game Theory: Lecture 2 An Introduction to Evolutionary Game Theory: Lecture 2 Mauro Mobilia Lectures delivered at the Graduate School on Nonlinear and Stochastic Systems in Biology held in the Department of Applied Mathematics,

More information

8.7 Taylor s Inequality Math 2300 Section 005 Calculus II. f(x) = ln(1 + x) f(0) = 0

8.7 Taylor s Inequality Math 2300 Section 005 Calculus II. f(x) = ln(1 + x) f(0) = 0 8.7 Taylor s Inequality Math 00 Section 005 Calculus II Name: ANSWER KEY Taylor s Inequality: If f (n+) is continuous and f (n+) < M between the center a and some point x, then f(x) T n (x) M x a n+ (n

More information

Dynamical Systems and Chaos Part I: Theoretical Techniques. Lecture 4: Discrete systems + Chaos. Ilya Potapov Mathematics Department, TUT Room TD325

Dynamical Systems and Chaos Part I: Theoretical Techniques. Lecture 4: Discrete systems + Chaos. Ilya Potapov Mathematics Department, TUT Room TD325 Dynamical Systems and Chaos Part I: Theoretical Techniques Lecture 4: Discrete systems + Chaos Ilya Potapov Mathematics Department, TUT Room TD325 Discrete maps x n+1 = f(x n ) Discrete time steps. x 0

More information

Dynamical Behavior in a Discrete Three Species Prey-Predator System A.George Maria Selvam 1, R. Dhineshbabu 2 and V.Sathish 3

Dynamical Behavior in a Discrete Three Species Prey-Predator System A.George Maria Selvam 1, R. Dhineshbabu 2 and V.Sathish 3 IJISET - International Journal of Innovative Science, Enineerin & Technoloy, Vol. Issue 8, October 4. ISSN 48 7968 Dynamical Behavior in a Discrete Three Species Prey-Preator System A.Geore Maria Selvam,

More information

Convergence and Oscillation in a Rational Fourth Order Difference Equation

Convergence and Oscillation in a Rational Fourth Order Difference Equation Australian Journal of Basic and Applied Sciences, 5(7): 771-777, 011 ISSN 1991-8178 Convergence and Oscillation in a Rational Fourth Order Difference Equation Hamid Gazor, Azadeh Memar, Tahereh Gazor and

More information

Chapter 3 Pullback and Forward Attractors of Nonautonomous Difference Equations

Chapter 3 Pullback and Forward Attractors of Nonautonomous Difference Equations Chapter 3 Pullback and Forward Attractors of Nonautonomous Difference Equations Peter Kloeden and Thomas Lorenz Abstract In 1998 at the ICDEA Poznan the first author talked about pullback attractors of

More information

2 Dynamics of One-Parameter Families

2 Dynamics of One-Parameter Families Dynamics, Chaos, and Fractals (part ): Dynamics of One-Parameter Families (by Evan Dummit, 015, v. 1.5) Contents Dynamics of One-Parameter Families 1.1 Bifurcations in One-Parameter Families..................................

More information

ON THE GLOBAL ATTRACTIVITY AND THE PERIODIC CHARACTER OF A RECURSIVE SEQUENCE. E.M. Elsayed

ON THE GLOBAL ATTRACTIVITY AND THE PERIODIC CHARACTER OF A RECURSIVE SEQUENCE. E.M. Elsayed Opuscula Mathematica Vol. 30 No. 4 2010 http://dx.doi.org/10.7494/opmath.2010.30.4.431 ON THE GLOBAL ATTRACTIVITY AND THE PERIODIC CHARACTER OF A RECURSIVE SEQUENCE E.M. Elsayed Abstract. In this paper

More information

Global Behavior of a Higher Order Rational Difference Equation

Global Behavior of a Higher Order Rational Difference Equation International Journal of Difference Euations ISSN 0973-6069, Volume 10, Number 1,. 1 11 (2015) htt://camus.mst.edu/ijde Global Behavior of a Higher Order Rational Difference Euation Raafat Abo-Zeid The

More information