Carrying Simplices in Discrete Competitive Systems and Age-structured Semelparous Populations
|
|
- Shannon Burns
- 5 years ago
- Views:
Transcription
1 Carrying Simplices in Discrete Competitive Systems and Age-structured Semelparous Populations Odo Diekmann Department of Mathematics, University of Utrecht P.O. Box 80010, 3580 TA Utrecht The Netherlands Yi Wang 1 Department of Mathematics, University of Science and Technology of China Hefei, Anhui, , P. R. China and Ping Yan Department of Mathematics and Statistics, University of Helsinki FIN Helsinki, Finland 1 Supported by FANEDD and NSF of China, partially supported by the Academy of Finland.
2 Abstract. For discrete competitive dynamical systems, amenable general conditions are presented to guarantee the existence of the carrying simplex and then these results are applied to age-structured semelparous population models, as well as to an annual plant competition model. 1 Introduction In population ecology, there are many mathematical models of competition in which an increase of the population size or density of one species does have a negative effect on the per capita growth rate of both the same and other species. The well-known construction of Smale [24] showed that mathematical models of competition between species could lead to differential equations with extremely complicated dynamics. On the other hand, Hirsch [12] proved that there exists an (n 1)-dimensional balanced attractor, called carrying simplex (see [13, 33]), attracting all nontrivial orbits provided the system is totally competitive and the origin is a repeller. This then led to the insight that n-dimensional competitive systems behave like (n 1)-dimensional general systems, for example the Poincaré-Bendixson theorem holds for 3-D competitive systems. Recently, the well-known results of Hirsch have been generalized and the existence of the carrying simplex for Kolmogorov competitive mappings has been verified by the second author in joint work with Jiang [30]. More precisely, let T be a mapping from C to C, where C = {x R n : x i 0 for all i}, satisfying the following seven hypotheses: (H1) T is a C 2 -diffeomorphism onto its image T C. (H2) For each nonempty I N := {1, 2,..., n}, the sets A = H I, H + I and Ḣ+ I that T (A) A and T 1 (A) A, where H I = {x R n : x j = 0 for j / I}, H + I Ḣ + I = {x H+ I : x i > 0 for i I}. have the property = C H I and (H3) For each nonempty subset I N and x Ḣ+ I, the I I Jacobian matrix D(T H + )(x) 1 = I (DT (x) 1 ) I = (DT 1 (T x)) I 0, where T H + means the restriction of T on H + I. I (H4) If x C and y = T x then [0, y] T [0, x]. (The notation [0, y] is explained in Section 2. We call the map T, which satisfies (H1)-(H4), a Kolmogorov competitive map.) (H5) For each i N, T H + {i} has a unique fixed point u i > 0 with 0 < (d/dx i )(T H + {i} )(u i ) < 1. Hence u i attracts all orbits with nontrivial initial condition in H + {i}. (H6) If x is a nontrivial p-periodic point of T and I N is such that x Ḣ+ I, then µ I,p(x) < 1, where µ I,p (x) is the (necessarily real) eigenvalue of the mapping D(T H + ) p (x) with the smallest I modulus. 1
3 x 3 u 3 x 2 u 2 O u 1 x 1 Figure 1: Carrying simplex in 3-D discrete competitive system (H7) For each nonempty subset I N and x, y T i x T i y x i for all i I (where T = (T 1,..., T n )). y i Ḣ+ I, if 0 < T ix < T i y for all i I, then Hypotheses (H1)-(H6) were first introduced by H. L. Smith [25] and are motivated by applications and in particular by techniques for dealing with the Poincaré maps associated with time-periodic differential equations. By introducing the additional mild hypothesis (H7), Wang and Jiang [30] were able to prove Theorem (Wang and Jiang [30]). Let T : C C be a map satisfying the hypotheses (H1) (H7). Then there exists a compact invariant hypersurface Σ, called carrying simplex, such that (a) For any x C \ {0}, there is some y Σ such that T k x T k y 0 as k + ; (b) Σ is homeomorphic via radial projection to the (n 1)-dim standard probability simplex := {x C : n i=1 x i = 1}. Figure 1 shows the carrying simplex in the three dimensional case. The geometry and smoothness of carrying simplices and the dynamics on carrying simplices have been widely investigated for continuous-time cases (see [10, 16, 18, 19, 32, 33, 34]) and discrete-time cases (see [4, 14, 21, 25, 30]). The theory of the carrying simplex has been applied successfully to many mathematical models 2
4 described by differential equations such as competitive Lotka-Volterra systems [33, 34], the growth of phytoplankton in a chemostat [26, 27] and competitor-competitor-mutualist models [11, 15], etc. However, it is somewhat of an embarrassment that the theory of the carrying simplex does not seem to apply easily to discrete-time models. The main obstacle is that, although it can be easily checked for the Poincaré map associated with time-periodic differential equations (see [30]), the hypothesis (H6) is actually very difficult, sometimes more or less hopeless, to check in discrete-time models. This is indeed the situation, for example, when we investigate a class of nonlinear Leslie models, describing the population dynamics of an age-structured semelparous species (see [5, 6, 7]). Semelparous species are those whose individuals reproduce only once and die afterwards. Examples include many plants, Pacific salmon, cicada s and many other insects. For many species, in particular many cicada species, the period in between being born and going to reproduce is strictly fixed at, say, k years. The population then subdivides into subpopulations according to the year of birth modulo k (or, equivalently, the year of reproduction modulo k ). Such a subpopulation is called a year class. Year classes mate and reproduce k years later, so are reproductively isolated from other classes. However, they may still interact by influencing each others living conditions, e.g. by competition for food or space. So competitive interaction between individuals is modeled via a feedback loop involving variable environmental conditions (cf. [8, 9]). Mathematically, the discrete-time model can be expressed as (see [5] for Biennials and [6] for the general case) N(t + 1) = L (h(e(t))) N(t) E(t) = c N(t), t = 0, 1, 2, (1.1) where h = (h 0,, h k 1 ) and L(h) = h k 1 h h h k 2 0. (1.2) Here N(t) = (N 0 (t),, N k 1 (t)) and N i (t) is the density of the i-th age class in year t, i = 0, 1,, k 1. h i (0 i k 2) is the survival probability of the i-th class, while h k 1 is the per capita expected number of offspring of the (k 1)-th class. For each i = 0, k 1, h i has, for instance, the Beverton-Holt form h i (E) = σ i 1 + g i E, (1.3) 3
5 where σ i, g i are positive constants with k 1 i=0 g i = 1. c = (c 0,, c k 1 ) is a nonnegative constant vector with k 1 i=0 c i = 1. Biologically, c i is called the age-specific impact on the environmental condition, and g i is called the sensitivity to the environment. Observe that the one-dimensional environmental condition E has an influence on survival and reproduction, but is also influenced by the population size and composition. Working with Davydova and van Gils, the first author [6, 7] investigated the dynamics of semelparous populations and found various phenomena, such as competitive exclusion (also called single year class (SYC) behaviour in [3, 31], or synchronization in [20]), coexistence, vertical bifurcation and the possibility of an attracting heteroclinic boundary cycle. One of the main techniques of the analysis in [6, 7] is to consider the full-life-cycle map T, which is defined as the kth-iterate of the map featuring in (1.1), i.e., define the map T : C C; N(0) N(k) such that T j (N(0)) = N j (k) = ( k 1 i=0 h j+i (E i ) ) N j (0), (1.4) j = 0,, k 1. Extensive numerical simulation of the combined bifurcation diagram of SYC-points and MYC-points (M for Multiple ) for the case k = 3 confirmed that the dynamics of T is very similar to the stable phase classification of the 3-D competitive Lotka-Volterra systems (see [33]). So, it is reasonable to expect that the full-life-cycle map is competitive so that a carrying simplex exists. Exploiting the monotonicity of the one-dimensional environmental condition E under some interesting inverse iteration and the properties of cyclic shift, one can eventually verify that the full-life-cycle map T indeed satisfies the Hypotheses (H1)-(H5) and (H7) (see the details in Section 4). However, to check (H6) is actually more or less hopeless. Observe that (H6) is of key importance to prove the existence of the carrying simplex (see [25, 30]). The objective of this paper is to provide, by following a different approach, amenable general conditions for Kolmogorov competitive maps that guarantee the existence of the carrying simplex. More precisely, we modified the hypotheses (H1) and (H7) as follows: (H1 ) T is a C 1 -diffeomorphism onto its image T C; (H7 ) For nonempty subsets I J N, x Ḣ+ I T i x T i y > x i for all i I. y i and y Ḣ+ J, if T ix < T i y for all i I then Without adopting the hypothesis (H6), we have as our main result 4
6 Theorem 1.1. Let T : C C be a map satisfying the hypotheses (H1 ),(H2) (H5) and (H7 ). Then there exists a compact invariant hypersurface Σ, called carrying simplex, such that (a) For any x C \ {0}, there is some y Σ such that T k x T k y 0 as k +. (b)σ is homeomorphic via radial projection to the (n 1)-dim standard probability simplex := {x C : n i=1 x i = 1}. Remark 1.1. The hypothesis example, according to (H2), we can rewrite the mapping T as: (H7 ) can be easily checked in various discrete-time models. For T (x 1,, x n ) = (x 1 G 1 (x), x 2 G 2 (x),, x n G n (x)), for x C, where G i (x) := T i (x) x i if x i 0 T i x i (x) if x i = 0, is a differentiable continuous function (if, for instance, T C 2 ) for i = 1,, n. Assume that G i (x) < 0 for all i, j N and x C (as in differential equations we might call this total x j competition ). Then a straightforward calculation yields that (H7 ) holds. For age-structured semelparous population models, although the condition G i x j (x) < 0 does not always hold (see the example presented in Remark 4.3), hypothesis (H7 ) can still be obtained by the monotonicity of the environmental condition E. Thus we obtain an affirmative answer for the conjecture concerning the existence of a carrying simplex in [6, 7], that is, Theorem 1.2. Let T : C C be the full-life-cycle map of the age-structured semelparous population model with Beverton-Holt type nonlinearity. Then there exists a carrying simplex Σ such that (a) For any x C \ {0}, there is some y Σ such that T l x T l y 0 as l +. (b)σ is homeomorphic via radial projection to the (k 1)-dim standard probability simplex. As a corollary we derive a far reaching generalization of the result in [7] concerning the existence of a heteroclinic cycle at the boundary of the positive cone in the three-dimensional case. Corollary 1.3. In the setting of Theorem 1.2, specialize to k = 3 and assume that the restriction of T to an invariant coordinate plane has no other fixed point than those on the axes. Then T has a heteroclinic cycle at the boundary of C connecting the three fixed points on the axes. 5
7 Proof. The intersection of Σ with a coordinate plane is an invariant line segment connecting the two fixed points on the axes. Since there are no interior fixed points on this line segment, the restriction of T to the segment must be a monotone one-dimensional map. Accordingly all orbits on the segment have one fixed point as the α-limit set and the other as the ω-limit set. By the cyclic symmetry, a fixed point on an axis is necessarily an ω-limit point in one plane and an α-limit point in the other. This paper is organized as follows. In Section 2 we introduce some notations, give relevant definitions and preliminaries which will be important in our proofs. Theorem 1.1 is proved in Section 3. Section 4 is devoted to the study of the existence of a carrying simplex for the age-structured semelparous population. As another application of our result, in Section 5, we will show that some annual plant competition model (see, e.g. [23]) also has a carrying simplex. 2 Notations and Preliminary Results Given = I N, let H I = {x R n : x j = 0 for j / I}. For two vectors x, y H I, we write x I y if x i y i for all i I, and x I y if x i < y i for all i I. If x I y but x y we write x < I y(the subscript on, <, is dropped if I = N). Let C = {x R n : x 0} be the usual nonnegative cone. The interior of C is the open cone C = {x R n : x 0} and the boundary of C is C. We also let H + I = C H I and Ḣ+ I = {x H + I : x i > 0 for i I}. For any two points x y in R n we define the closed order interval [x, y] = {z R n : x z y} and open order interval [[x, y]] = {z R n : x z y}. A set in R n is order convex if it contains the order closed intervals defined by each pair of its elements. If A is a subset of a topological space X, A denotes the closure of A in X. The boundary of A relative to X is denoted by X A, or A if X = C. A subset A in C is called unordered if A does not contain two points related by <. Let T : C C satisfy (H1) and (H2)-(H5). The forward (backward) orbit of x C in C is defined by O + (x) = {T m x : T m x 0 and m Z + } (O (x) = {T m x : T m x 0 and m Z }, where Z + (Z ) denotes the set of nonnegative (nonpositive) integers. The orbit of x C in C is defined by O(x) = O + (x) O (x). Let x C. Then either there exists some N N such that T n x T C for 0 n N but T (N+1) x / T C, or T n x T C for any n N. In the first case, we say that such an x does not have a full backward orbit. The ω-limit set of x is defined by ω(x) = {y C : T n k x y(k ) for some sequence n k + in Z} and the α-limit set of x by α(x) = {y C : T n k x y(k ) for some sequence n k + in Z}. Note that if O + (x) is 6
8 compact in C, then the ω-limit set of x is nonempty and invariant, i.e., T ω(x) = ω(x). Furthermore, the α-limit set of x is nonempty and invariant provided x has a full backward orbit and O (x) is compact in C. From the Hypotheses (H1 ) and (H2)-(H5), one can obtain some properties of the map T (see [25, Propositions 2.1 and 3.1]). Proposition 2.1. If x, y C and T x < T y, then x < y. Proposition 2.2. For each I N, T is strongly competitive in the interior Ḣ+ I of H + I, i.e., if x H + I, y Ḣ+ I and T x < I T y, then x I y. Furthermore, let u = (u 1, u 2,, u n ), where u i are the fixed points introduced in the statement of (H5). Here we are abusing notation and allowing u i to denote a point in R or the corresponding point on the boundary of C as required by the context. Then one has the following three propositions, the proofs of which can also be found in [25]. Proposition 2.3. The set Γ = T k [0, u] k=1 is a nonempty, order-convex global compact attractor of T in C. M := Γ is an unordered invariant compact set containing the fixed points u i, 1 i n. Moreover, M is homeomorphic via radial projection to the (n 1)-dim standard probability simplex. Proposition 2.4. The domain of repulsion of the origin B(0) := {y T k C : T j y 0 as j } k=1 is a nonempty order-convex invariant open set in C. B(0) Γ and S := B(0) is an unordered invariant compact set containing the fixed points u i, 1 i n. Moreover, S is homeomorphic via radial projection to the (n 1)-dim standard probability simplex. Proposition 2.5 (Non-ordering of Limit-sets). Any ω- or α- limit set of x C cannot contain two points related by <. Before ending this section, we shall state several known results which will be important in the proof of the main result. In order to do this, we first introduce some crucial definitions and notations. Let p be an m-periodic point and O(p) = {p 0, p 1,, p m 1 }, T i p j = p (i+j) mod m and p 0 = p. Frequently, O(p) is called a cycle or an m-cycle. If m = 1, we call p a fixed point. We denote by 7
9 Fix(T ) the set of the fixed points of T. A point z is in the lower boundary S of a set S R n provided there is a sequence {y n } in S converging to z with y n z (denoted by y n z), but no sequence {x n } in S converging to z with x n z (denoted by x n z). Then, for i {0, 1,, m 1}, we define, as in [29], M(p i ) = {x C : T nm x p i as n + }; M (p i ) = {x M(p i ) : T nm x p i for sufficiently large n N}; V (p i ) = (M (p i )), and M (O(p)) = V (O(p)) = m 1 i=0 m 1 i=0 M (p i ); V (p i ). Working with Jiang, the second author [29] extended to time-periodic Kolmogorov systems a well known result of M. W. Hirsch (see Theorem1.1 in [12]) for autonomous systems under the following hypotheses: Dissipation. There is a compact invariant set Γ, called the fundamental attractor, which uniformly attracts each compact set of initial values. Competition. T is competitive in C, i.e., if x, y C and T x < T y, then x < y. Strong Competition. For each I N, T is strongly competitive in the interior Ḣ+ I of H + I, i.e., if x H + I, y Ḣ+ I and T x < I T y, then x I y. Proposition 2.6 (Wang and Jiang [29]). Let T : C C be a C 1 injective map satisfying hypotheses of Dissipation, Competition and Strong Competition. Given x C Γ, let L denote the ω- or α- limit set of x. Assume that L is nonempty, not a cycle and L C. Then precisely one of the following two alternatives holds: (a): L M, where M is the boundary of Γ relative to C; (b): there exists some positive m-periodic point q such that L V (O(q)). It deserves to be noted that the fundamental attractor Γ of T is actually the fundamental repellor of T 1. In terms of T 1, Γ is characterized as the set of points with bounded orbits, while x C \ Γ if and only if either x does not have a full backward orbit, or T n x + as n +. Therefore, 8
10 given any x Γ, α(x) is nonempty and invariant. Moreover, it is easy to see that T is competitive in Γ if and only if T 1 is monotone in Γ, i.e., if x, y Γ with x < y, then T 1 x < T 1 y. T is strongly competitive in Ḣ+ I Γ if and only if T 1 is monotone in Ḣ+ I Γ, i.e., if x H+ I Γ, y Ḣ+ I Γ with x < I y, then T 1 x I T 1 y. Based on the discussion above, we have the following proposition, which is originally due to Mierczynski [17, Theorem 2.1] who gave a preliminary classification of equilibria for C 1 strongly monotone mappings. Proposition 2.7. Let x Ḣ+ I Γ be an m-periodic point of T. Then there exists a local backward invariant with respect to T m, totally ordered by I one-dimensional submanifold W Ḣ+ I Γ, W I x, homeomorphic to the interval [0, 1) such that precisely one of the following three alternatives applies: (i) T m w I w for all w W \ {x}; (ii) T m w I w for all w W \ {x}; (iii) there is a sequence x k W F ix(t m ) such that x k x as k. 3 The proof of the main result In this section, we always assume that the hypotheses (H1 ), (H2)-(H5) and (H7 ) hold. Note that, by Propositions , the hypotheses (H1 ),(H2)-(H5) imply Dissipation, Competition, and Strong competition. Therefore, the assumption of Proposition 2.6 always holds in this section. We break the proof of the main result into several Lemmas. Lemma 3.1. Suppose that S C = M C. Then given any 0 x y satisfying x S and y M, we have α(x) C and α(x) α(y) =. Proof. Given any 0 x y satisfying x S and y M. Suppose that z α(x) α(y), then there is a sequence n k + such that T n k x z. Without loss of generality assume that T n k y z α(y), then z z. By Proposition 2.5, α(y) is unordered, which implies that z = z. On the other hand, it follows from (H7 ) that, for each i N, T n i x is a decreasing sequence. Thus, y T n x T n y λ := (λ 1,, λ n ) (1,, 1), a contradiction to T n k x z T n k y as n k. Thus we have proved α(x) α(y) =. Suppose that α(x) C. Then one can find a w α(x) C and a sequence n k + such that T n k x w α(x) C S C = M C. Without loss of generality we assume T n i 9
11 that T n k y w α(y) M. Then w w. Note that M is unordered, hence w = w, which contradicts (H7 ) according to the same argument as in the paragraph above. Lemma 3.2. All nontrivial periodic points of T belongs to S M. Proof. Obviously all nontrivial periodic points of T belong to Γ. Let x be a nontrivial m-periodic point of T, x Ḣ+ I. Then, by Proposition 2.7, there is a local backward invariant with respect to T m, totally ordered by I one-dimensional submanifold W Ḣ+ I, W I x, homeomorphic to the interval [0, 1) such that either (i) T m w I w for all w W \ {x}, or (ii) T m w I w for all w W \ {x}, or else (iii) there is a sequence x k x, x k W F ix(t m ). Case (iii) is impossible, > T m i x k x = (xk ) i for every i I, a contradiction. In case (ii), one can since then, by (H7 ), (xk ) i x i T m i obtain that α(w) = O(x) for all w W, consequently, T ml i other hand, fix any i I, by (H7 ), 1 > w i x i a decreasing sequence. Hence T ml i w x i x i T ml i w T ml i x i x = T w 1(l + ) for every i I. On the ml i w x i for all l N and { T ml i x i w } l N is λ < 1 as l +, a contradiction. So only case (i) holds, and we can find an m-periodic point q Ḣ+ J, J I, with q I w such that T ml w q(l + ) for all w W. We claim that J =. If not, then one can choose a j J such that 0 < q j < w j, and q j hence again by (H7 ), we have T ml j w = T ml j q T ml j w λ < 1(l + ), contradicting T ml w q. Therefore, J =, that is, q = 0. So T l w 0 as l + for all w W, which implies that x S. Similarly, we can obtain that x M. Indeed, if x / M then one can find a z Γ Ḣ+ I, x I z. Then every point in [x, z] has a unique full backward orbit. By appealing to Proposition 2.7 and (H7 ) again, we obtain that there is a local backward invariant with respect to T m, totally ordered by I one-dimensional submanifold W Ḣ+ I, x I W, homeomorphic to the interval [0, 1) such that T m w I w for all w W \ {x}. Thus there exists an m-periodic point r Γ Ḣ+ I such that T ml w r(l + ) for all w W. Note I, this can not happen by the same reason in the end of the previous paragraph. Thus we have proved that x M. Theorem 3.1. We have the following conclusions: (a): Σ := S = M; (b): For any x C \ {0}, there is some y Σ such that T k x T k y 0 as k +. Proof. The proof goes by induction on n. If n = 1, then Γ is an interval [0, u i ] where u i is some fixed point of T in some axis, which is induced from the hypothesis (H5). Then the statement is trivial. 10
12 From now on we assume n > 1. The induction hypothesis is that Theorem 3.1 holds for systems in R m if m < n. Given any = I N, the hypotheses of (H1 ), (H2)-(H5) and (H7 ) are inherited by the restriction of the system to H + I. Therefore, by the induction hypothesis we conclude that S H+ I = M H + I and every trajectory in H + I \ {0} is attracted to S H+ I = M H + I. Therefore, one can see that S C = M C. Now we shall prove S = M. It suffices to prove that S C = M C. Note that every ray from the origin through a point of C meets S and M in points x and y, then it suffices to prove x = y. Suppose that for some ray x y. Then 0 x y. It follows from Lemma 3.1 that α(x) C and α(x) α(y) =. If α(x) is a cycle, then, by Lemma 3.2, we have α(x) M. Then one can find z α(x) M, w α(y) M such that z w, but α(x) α(y) =, so z < w. Thus M contains two related points z and w, contradicting Proposition 2.3. If α(x) is not a cycle, then, by Proposition 2.6, we have α(x) V (O(q)) for some positive m-periodic point q, or α(x) M. Suppose that α(x) V (O(q)) holds. Then M (O(q)) is nonempty. So one can find some z C such that T mk z q(k + ) with T mk z q for sufficiently large k N. Fix an k 0 N sufficiently large and let z = T mk 0 z, then 0 z q and T mk z q(k + ). However, by (H7 ), T mk i z = T mk i z q i T mk i q λ i < 1 for each i N, a contradiction. Hence α(x) M. Then again one can find z α(x) M, w α(y) M such that z w, but α(x) α(y) =, so z < w. Thus M contains two related points z and w, a contradiction. Therefore we have completed the proof that S = M. The statement (b) directly comes from [30, Corollary 1.3]. Note that Theorem 1.1 on the existence of the carrying simplex is a corollary of Theorem 3.1 and Propositions 2.3 and Age-Structured semelparous populations Consider a semelparous species with a life cycle of exactly k years, so consisting of k reproductively isolated year classes. Once a year class goes extinct, it remains extinct. We then say that the year class is missing. The periodical insects [3] are those for which all but one year classes are missing. The prime example are the Magicicadas (The k = 17 species had its most recent emergence in the North-East United States in 2004). 11
13 We consider the discrete-time model described by (1.1) and the associated full-life-cycle map (1.4). We want to check that the hypotheses (H1 ), (H2)-(H5) and (H7 ) from Section 1 hold for the discrete-time system (1.4). Firstly, it is easy to see that all coordinate axes and faces are invariant under the full-lifecycle map T, which implies that (H2) holds. Secondly, (H5) is actually concerned with the onedimensional dynamics. Since we consider Beverton-Holt type nonlinearities, one can easily see that the corresponding one-dimensional map shows convergence of all nontrivial orbits towards the positive steady state (which is hyperbolic) for values of parameters for which the positive steady state exists (or, equivalently, the basic reproduction ratio exceeds one). Proposition 4.1. Assume (H1 ), (H2) and (H3). Then (H4) holds. Proof. The arguments are similar to those for proving Proposition 2.1 in [14]. For completeness, we provide the details. If one of the points x, y is 0 then by (H2) the other is 0, too, and there is nothing to prove. So assume that both x and y are nonzero. Again by (H2) there is a nonempty I N such that both x and y are in Ḣ+ I. Take any z [0, y], 0 z y, and consider the segment Σ H + I joining y and z, Σ = {sy + (1 s)z : 0 s 1}. Since T C is a relatively open subset of C, it follows that (Σ \ {z}) T C is a relatively open subset of Σ containing y. Put σ [0, 1) to be the infimum of those τ (0, 1) such that {sy + (1 s)z : τ s 1} T C, and define Σ := {sy + (1 s)z : σ < s < 1}. As Σ ([0, y] \ {y}) Ḣ+ I, it follows from (H3) that T 1 Σ is a linearly ordered by I subset of [[0, x]] and that T sends bijectively T 1 Σ onto Σ. As T 1 Σ is contained in the compact set [0, x] I, there is ζ := inf T 1 Σ. We have T ζ = T ( lim s σ+ T 1 (sy + (1 s)z)) = lim s σ+ T (T 1 (sy + (1 s)z)) = σy + (1 σ)z. Clearly σ = 0, since otherwise, by (H2) both ζ and T ζ would be in H + I, and that contradicts our choice of σ. Therefore σ = 0 and T ζ = z. Now it remains to show (H1 ), (H3) and (H7 ) for (1.4). In order to verify (H1 ) and (H3), we need the following Propositions: Proposition 4.2. T is injective, T is competitive in C and strongly competitive in {0,, k 1}. Ḣ+ I, = I Proof. Let ˆT : R k R k, ( ˆT x) i = x i h i (c x) for i = 0,, k 1. We claim that ˆT is injective, ˆT is competitive in C and strongly competitive in Ḣ+ I, I {0,, k 1}. 12
14 In fact, let v = ˆT x, then x i = v i /h i (E) for i = 0,, k 1, where E is equal to c x. Hence which implies that E = c x = 1 = k 1 i=0 k 1 i=0 c i v i h i (E), c i v i Eh i (E). (4.1) Since h i is of Beverton-Holt type, Eh i (E) is strictly increasing as a function of E. So for given v there is at most one solution E for (4.1). Once E is determined, so is x via x i = v i /h i (E) for i = 0,, k 1. Hence ˆT is injective. Moreover, as a function of v, the rhs of (4.1) is strictly increasing. Therefore E is a strictly increasing function of v. The formula x i = v i /h i (E) implies that the same holds for all component of x, which implies that ˆT is competitive in C, and even strongly competitive in Ḣ+ I. Thus we have proved the claim. It is not difficult to see that the full-life-cycle map T = (S ˆT ) k, where S = is the cyclic forward shift on R k. Therefore, T is injective, competitive in C and strongly competitive in Ḣ+ I, I {0,, k 1}. Remark 4.1. Based on Proposition 4.2 and the expression (1.4), it is easy to check that (H1 ) and (H3) hold. Proposition 4.3. (H7 ) holds for the full-life-cycle map T defined by (1.4). Proof. Denote by P = S ˆT with ˆT introduced in Proposition 4.2 above, then the full-life-cycle map T = P k. Obviously, P is also injective and competitive in C. Based on the argument following the formula (4.1) in the proof of Proposition 4.2, we let E j (x) denote the unique solution of for j = 0,, k 1. 1 = k 1 i=0 c i (P j+1 x) i, (4.2) Eh i (E) Let I = {k 1,, k i } {0,, k 1} be an index set, define σ j I := {(k 1 + j) mod k,, (k i + j) mod k} for j N. It is easy to see that σ k I = I. Now, given any nonempty index subset 13
15 I J N, let x Ḣ+ I and y Ḣ+ J with T ix < T i y for all i I. Then one has P k x < P k y and Pi kx < P i k y for all i I. Moreover, by the competitiveness of P and the property of the shift S, one has P j x < P j y and P j i x < P j i y for all i σj I and j = 1,, k, which implies that P j+1 x < P j+1 y and P j+1 x σ j+1 I P j+1 y for all j = 0,, k 1. It follows from (4.2) and the strict monotonicity of E with v, where v is as in (4.1), that E j (x) < E j (y) for all j = 0,, k 1. Hence, for all i J. Note that T i x T i y = (P k x) i (P k y) i = k 1 j=0 h j+i(e j (x)) k 1 j=0 h j+i(e j (y)) > 1, k 1 j=0 h j+i(e j (x)) k 1 j=0 h j+i(e j (y)) xi, y i for all i = 0,, k 1. Then we have T ix T i y > x i y i for all i I. Thus we have completed the proof. σ i Remark 4.2. When h i (E) = one might try to derive an explicit expression for (1.4) but 1 + g i E the expression will be extremely complicated and not yield any insights. Remark 4.3. Although (H7 ) holds for the age-structured semelparous model, the condition G i x j < 0 in Remark 1.1 does not always hold. For example, consider k = 2 and the iteration as N 0 (t + 1) = R 0N 1 (t) 1 + N 0 (t), N 1(t + 1) = N 0 (t), where R 0 is the positive constant representing the basic reproduction ratio. Then an easy calculation shows that N 0 (t + 2) = R 0 N 0 (t) 1 + R 0N 1 (t) 1 + N 0 (t) with G 0 (N 0, N 1 ) = R 0, so G 1+ R 0 N 0 1 N 0 > 0 if N 1 > 0. 1+N 0 = G 0 (N 0 (t), N 1 (t))n 0 (t) Note that Theorem 1.2 on the existence of the carrying simplex for the age-structured semelparous model is, now that we have verified all hypotheses, a corollary of Theorem Application to an annual plant competition model The annual plant competition model we consider here was first derived by Atkinson [2] and Allen et al. [1] (see also a discrete-time model formulated by Jones and Perry in the book [22]). In particular, 14
16 the three-species annual plant model can be simplified and expressed as 2(1 b)x 1 (n) x 1 (n + 1) = 1 + x 1 (n) + α 1 x 2 (n) + β 1 x 3 (n) + bx 1(n), 2(1 b)x 2 (n) x 2 (n + 1) = 1 + β 2 x 1 (n) + x 2 (n) + α 2 x 3 (n) + bx 2(n), 2(1 b)x 3 (n) x 3 (n + 1) = 1 + α 3 x 1 (n) + β 3 x 2 (n) + x 3 (n) + bx 3(n), (5.1) where x i (n)(i = 1, 2, 3) is the density of species i at time n, b and α i, β j competition coefficients, respectively, and are the seedbank and for all i = 1, 2, 3. 0 < b < 1, α i > 0, β i > 0, α i 1, β i 1 (5.2) Roeger and Allen [23] studied the local dynamics and Hopf bifurcations of the discrete-time model (5.1) under the additional assumption that the three species compete in the rock-scissors-paper type, i.e., 0 < α i < 1 < β i, i = 1, 2, 3. Their analysis and numerical simulations strongly suggest that a two-dimensional carrying simplex exists for (5.1). In this section, we will show that this is indeed even true with no restriction of rock-scissors-paper manner. Therefore, all the interesting dynamics (for example, center manifold of the positive equilibrium, periodic solutions and heteroclinic cycles, etc.) are on the two-dimensional carrying simplex. Moreover, we can deduce that the dynamics is trivial if there is no positive equilibrium (see the following Corollary 5.2). We do believe that the existence of the carrying simplex will shed light on the investigation of the global behaviour and the complete classification of (5.1). We will leave this as a future research topic. Now we focus on the proof of the existence of the carrying simplex. Define the map T : C C such that T x 1 x 2 x 3 = 2(1 b)x 1 1+x 1 +α 1 x 2 +β 1 x 3 + bx 1 2(1 b)x 2 1+β 2 x 1 +x 2 +α 2 x 3 + bx 2 2(1 b)x 3 1+α 3x 1+β 3x 2+x 3 + bx 3 where (x 1, x 2, x 3 ) C := R 3 + = {(x 1, x 2, x 3 ) : x i 0, for i = 1, 2, 3}., (5.3) We need to check that the hypotheses (H1 ), (H2)-(H5) and (H7 ) in Section 1 do hold for T. Obviously, (H2) holds. As for (H5), it is easy to see that E 1 (1, 0, 0), E 2 (0, 1, 0), E 3 (0, 0, 1) are the equilibria on each axis, respectively. Moreover, they attract all the nontrivial orbits in each axis respectively. Now we need the following lemmas: Lemma 5.1. T satisfies (H1 ) and (H3). 15
17 Proof. We denote by DT (x) the derivative of T at x C. It follows from (5.3) that x 1 m 11 m 12 m 13 DT (x) = DT x 2 = m 21 m 22 m 23, (5.4) m 31 m 32 m 33 where m 11 = 2(1 b)(1+α1x2+β1x3) (1+x 1+α 1x 2+β 1x 3) + b, m 2 12 = 2(1 b)β 2 x 2 (1+β 2 x 1 +x 2 +α 2 x 3 ), m 2 22 = 2(1 b)(1+β 2x 1 +α 2 x 3 ) (1+β 2 x 1 +x 2 +α 2 x 3 ) +b, m 2 23 = 2(1 b)β m 32 = 3 x 3 (1+α 3 x 1 +β 3 x 2 +x 3 ), m 2 33 = 2(1 b)(1+α 3x 1 +β 3 x 2 ) (1+α 3 x 1 +β 3 x 2 +x 3 ) + b. 2 x 3 2(1 b)α 1x 1 (1+x 1+α 1x 2+β 1x 3) 2, m 13 = 2(1 b)α 2 x 2 (1+β 2 x 1 +x 2 +α 2 x 3 ) 2, m 31 = 2(1 b)β 1x 1 (1+x 1+α 1x 2+β 1x 3) 2, m 21 = 2(1 b)α 3 x 3 (1+α 3 x 1 +β 3 x 2 +x 3 ) 2, After a lengthy calculation we obtain that det DT (x) > 0, hence DT (x) is invertible for every x C. Furthermore, it is also not difficult to show that (DT (x) 1 ) I 0 for every x Ḣ+ I nonempty subset I {1, 2, 3}. Thus we have proved (H3). and the Since DT (x) is invertible for every x C, T is a local homeomorphism. In order to prove that T is a global homeomorphism, by [28, Theorem 4.1], we need to show that T is competitive, i.e., if x, y C and T x < T y then x < y. To end this, let x, y C and T x < T y. Define the segment I p = {λt x + (1 λ)t y : 0 λ 1}. Since T is a local homeomorphism, it is not difficult to show that there exists a continuous path γ : [0, 1] C with γ(0) = x, γ(1) = y such that T (γ([0, 1])) = I p and T is one-to-one from γ onto I p. For any z I p, there exists a unique t z [0, 1] such that T (γ(t z )) = z. Furthermore, there exists a neighborhood U z C of z and a neighborhood V γ(tz) C of γ(t z ) such that T : V γ(tz) U z is a homeomorphism. Note that (H3) holds. Then, by [25, Proposition 3.1(iv)], T is a competitive map from V γ(tz ) to U z, that is, if w, v V γ(tz ), T w, T v U z and T w < T v then w < v. Clearly, {U z I p : z I p } forms an open cover of I p. The compactness of I p guarantees the existence of a finite subcover {U j I p : 1 j l} of I p. Similarly as above, one can choose a finitely many neighborhoods V γ(tj ) with t j [0, 1] such that T : V γ(tj ) U j is a homeomorphism for each j = 1,, l. Since I p is totally ordered, one can choose z j U j I p (j = 1, 2,..., l) such that T x = T (γ(0)) z 1 = T (γ(t 1 )) < z 2 = T (γ(t 2 )) < < z l = T (γ(t l )) T (γ(1)) = T y. Note that T is a homeomorphism, and hence competitive, from V γ(tj ) onto U j (j = 1, 2,..., l). Then we obtain x = γ(0) γ(t 1 ) < < γ(t l ) γ(1) = y. Consequently, we have proved that T is competitive, which implies that T is a C 1 -diffeomorphism onto its image T C, i.e., (H1 ) holds. 16
18 From the discussion above and Proposition 4.1, we obtain that (H1 ), (H2), (H3) (H4) and (H5) hold. It is obvious from Remark 1.1 and the expression for the map T that (H7 ) holds. By Theorem 1.1, we have the following corollary on the existence of the carrying simplex in the annual plant competition model. Corollary 5.1. Let T : C C be the map (5.3) of the annual plant competition model. Then there exists a carrying simplex Σ such that the conclusions in Theorem 1.1 hold. Moreover, by the results of [4] we have the following global dynamics of the annual plant competition model. Corollary 5.2. Let T be in Corollary 5.1. Assume also that there is no positive equilibrium of (5.3), then every orbit of (5.3) converges to some equilibrium on the boundary of C. Remark 5.1. It is easy to see that (5.3) has no positive equilibrium if and only if the following linear system of equations x 1 + α 1 x 2 + β 1 x 3 = 1, β 2 x 1 + x 2 + α 2 x 3 = 1, α 3 x 1 + β 3 x 2 + x 3 = 1. has no positive solution. References [1] L. J. S. Allen, E. J. Allen and D. N. Atkinson, Integrodidderence equations applied to plant dispersal, competition, and control, In: S. Ruan, G. Wolkowicz and J. Wu, eds, Differential Equations with Applications to Biology Fields Institute Communications, American Mathematical Society, Providence, RI, 21 (1998), [2] D. N. Atkinson Mathematical models for plant competition and dispersal, Texas Tech University, Lubbock, TX79409, [3] M.G. Bulmer, Periodical insects, The Amer. Natural., 111 (1977), [4] J. Campos, R. Ortega and A. Tineo, Homeomorphisms of the disk with trivial dynamics and extinction of competitive systems, J. Differential Equations, 138 (1997), [5] N.V. Davydova, O. Diekmann and S.A. van Gils, Year class coexistence or competitive exclusion for strict biennials?, J. Math. Biol., 46 (2003),
19 [6] N.V. Davydova, O. Diekmann and S.A. van Gils, On Circulant Populations. I. The algebra of Semelparity, J. Lin. Algebra and Applications, 398 (2005), [7] O. Diekmann, N.V. Davydova and S.A. van Gils, On a boom and bust year class cycle, J. Difference Equations and Applications, 11 (2005), [8] O. Diekmann, M. Gyllenberg, H. Huang, M. Kirkilionis, J.A.J. Metz and H.R. Thieme, On the formulation and analysis of general deterministic structured population models. II. Nonlinear theory, J. Math. Biol., 43 (2001), [9] O. Diekmann, M. Gyllenberg and J.A.J. Metz, Steady state analysis of structured population models, TPB 63 (2003), [10] P. van den Driessche and M. L. Zeeman, Three-dimensional competitive Lotka-Volterra systems with no periodic orbits, SIAM J. Appl. Math., 58 (1998), [11] M. Gyllenberg and Y. Wang, Dynamics of the periodic type-k competitive Kolmogorov systems, J. Differential Equations, 205 (2004), [12] M. W. Hirsch, Systems of differential equations which are competitive or cooperative: III. Competing species, Nonlinearity, 1 (1988), [13] M. Hirsch and H. Smith, Monotone Dynamical Systems, to appear Handbook of Differential Equations, Ordinary Differential Equations (second volume), Elsevier, to appear. [14] J. Jiang, J. Mierczyński and Y. Wang, Smoothness of the carrying simplex for discrete-time competitive dynamical systems: a characterization of neat embedding, preprint, [15] X. Liang, J. Jiang, The dynamical behaviour of type-k competitive Kolmogorov systems and its application to three-dimensional type-k competitive Lotka-Volterra systems, Nolinearity, 16 (2003), [16] J. Mierczyński, The C 1 property of carrying simplices for a competitive systems of ODEs, J. Differential Equations, 111 (1994), [17] J. Mierczyński, p-arcs in strongly monotone discrete-time dynamical systems. Differential Integral Equations, 7 (1994), [18] J. Mierczyński, On smoothness of carrying simplicies, Proc. Amer. Math. Soc., 127 (1999),
20 [19] J. Mierczyński, Smoothness of carrying simplices for three-dimensional competitive systems: a counterexample, Dynam. Contin. Discrete Impuls. Systems, 6 (1999), [20] E. MjØlhus, A. Wikan, T. Solberg, On synchronization in semelparous populations, J. Math. Biol., 50 (2005), [21] R. Ortega and A. Tineo, An exclusion principle for periodic competitive systems in three dimension, Nonlinear Analysis, T.M.A., 31 (1998), [22] A. Pakes and R. Maller, Mathematical ecology of plant species competition: a class of deterministic models for binary mixtures of plant genotypes, Cambridge University Press, Cambridge, [23] L.-I. W. Roeger and L. J. S. Allen, Discrete May-Leonard competition model I, J. Diff. Equ. Appl., 10 (2004), [24] S. Smale, On the differential equations of species in competition, J. Math. Biol., 3 (1976), 5-7. [25] H. L. Smith, Periodic competitive differential equations and the discrete dynamics of competitive maps, J. Differential Equations, 64 (1986), [26] H. L. Smith and P. Waltman, The Theory of the Chemostat, Cambridge Univ. Press, [27] H. L. Smith and B, Li, Competition for essential resources: A brief review, Fields Institute Communications, 36 (2003), [28] Y. Wang and J. Jiang, The general properties of discrete-time competitive dynamics systems, J. Differential Equations, 176 (2001), [29] Y. Wang and J. Jiang, The long-run behavior of periodic competitive Kolmogorov systems, Nonlinear Analysis: Real World Applications, 3 (2002), [30] Y. Wang and J. Jiang, Uniqueness and attractivity of the carrying simples for the discrete-time competitive dynamical systems, J. Differential Equations, 186 (2002), [31] A. Wikan and E. MjØlhus, Overcompensatory recruitment and generation delay in discrete age-structured population models, J. Math. Biol., 35 (1996), [32] D. Xiao and W. Li, Limit cycles for competitive three dimensional Lotka-Volterra system, J. Differential Equations, 164 (2000),
21 [33] M. L. Zeeman, Hopf bifurcations in competitive three-dimensional Lotka-Volterra systems, Dynamics and Stability of Systems, 8 (1993), [34] E. C. Zeeman and M. L. Zeeman, From local to global behavior in competitive Lotka-Volterra systems, Trans. Amer. Math. Soc., 355 (2003),
Competitive Exclusion in a Discrete-time, Size-structured Chemostat Model
Competitive Exclusion in a Discrete-time, Size-structured Chemostat Model Hal L. Smith Department of Mathematics Arizona State University Tempe, AZ 85287 1804, USA E-mail: halsmith@asu.edu Xiao-Qiang Zhao
More informationResearch 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 informationFeedback control for a chemostat with two organisms
Feedback control for a chemostat with two organisms Patrick De Leenheer and Hal Smith Arizona State University Department of Mathematics and Statistics Tempe, AZ 85287 email: leenheer@math.la.asu.edu,
More informationDynamical Systems in Biology
Dynamical Systems in Biology Hal Smith A R I Z O N A S T A T E U N I V E R S I T Y H.L. Smith (ASU) Dynamical Systems in Biology ASU, July 5, 2012 1 / 31 Outline 1 What s special about dynamical systems
More informationA REMARK ON THE GLOBAL DYNAMICS OF COMPETITIVE SYSTEMS ON ORDERED BANACH SPACES
PROCEEDINGS OF THE AMERICAN MATHEMATICAL SOCIETY Volume 00, Number 0, Pages 000 000 S 0002-9939(XX)0000-0 A REMARK ON THE GLOBAL DYNAMICS OF COMPETITIVE SYSTEMS ON ORDERED BANACH SPACES KING-YEUNG LAM
More informationHYPERBOLIC SETS WITH NONEMPTY INTERIOR
HYPERBOLIC SETS WITH NONEMPTY INTERIOR TODD FISHER, UNIVERSITY OF MARYLAND Abstract. In this paper we study hyperbolic sets with nonempty interior. We prove the folklore theorem that every transitive hyperbolic
More informationASYMPTOTICALLY STABLE EQUILIBRIA FOR MONOTONE SEMIFLOWS. M.W. Hirsch. (Communicated by Aim Sciences)
Manuscript submitted to AIMS Journals Volume X, Number 0X, XX 200X Website: http://aimsciences.org pp. X XX ASYMPTOTICALLY STABLE EQUILIBRIA FOR MONOTONE SEMIFLOWS M.W. Hirsch Department of Mathematics
More informationTopological properties
CHAPTER 4 Topological properties 1. Connectedness Definitions and examples Basic properties Connected components Connected versus path connected, again 2. Compactness Definition and first examples Topological
More information1 Lyapunov theory of stability
M.Kawski, APM 581 Diff Equns Intro to Lyapunov theory. November 15, 29 1 1 Lyapunov theory of stability Introduction. Lyapunov s second (or direct) method provides tools for studying (asymptotic) stability
More informationHomeomorphisms of the Disk with Trivial Dynamics and Extinction of Competitive Systems
journal of differential equations 138, 157170 (1997) article no. DE973265 Homeomorphisms of the Disk with Trivial Dynamics and Extinction of Competitive Systems Juan Campos* and Rafael Ortega* Departamento
More informationPermanence Implies the Existence of Interior Periodic Solutions for FDEs
International Journal of Qualitative Theory of Differential Equations and Applications Vol. 2, No. 1 (2008), pp. 125 137 Permanence Implies the Existence of Interior Periodic Solutions for FDEs Xiao-Qiang
More informationSmith theory. Andrew Putman. Abstract
Smith theory Andrew Putman Abstract We discuss theorems of P. Smith and Floyd connecting the cohomology of a simplicial complex equipped with an action of a finite p-group to the cohomology of its fixed
More informationAsynchronous 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 informationCongurations of periodic orbits for equations with delayed positive feedback
Congurations of periodic orbits for equations with delayed positive feedback Dedicated to Professor Tibor Krisztin on the occasion of his 60th birthday Gabriella Vas 1 MTA-SZTE Analysis and Stochastics
More informationStability of Feedback Solutions for Infinite Horizon Noncooperative Differential Games
Stability of Feedback Solutions for Infinite Horizon Noncooperative Differential Games Alberto Bressan ) and Khai T. Nguyen ) *) Department of Mathematics, Penn State University **) Department of Mathematics,
More information2 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 informationCompetitive and Cooperative Differential Equations
Chapter 3 Competitive and Cooperative Differential Equations 0. Introduction This chapter and the next one focus on ordinary differential equations in IR n. A natural partial ordering on IR n is generated
More informationGlobal Qualitative Analysis for a Ratio-Dependent Predator Prey Model with Delay 1
Journal of Mathematical Analysis and Applications 266, 401 419 (2002 doi:10.1006/jmaa.2001.7751, available online at http://www.idealibrary.com on Global Qualitative Analysis for a Ratio-Dependent Predator
More informationDynamics of nonautonomous tridiagonal. competitive-cooperative systems of differential equations
Dynamics of nonautonomous tridiagonal competitive-cooperative systems of differential equations Yi Wang 1 Department of Mathematics University of Science and Technology of China Hefei, Anhui, 230026, P.
More informationPeriodic 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 informationPeriodic 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 informationDiscrete 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 information1.7. Stability and attractors. Consider the autonomous differential equation. (7.1) ẋ = f(x),
1.7. Stability and attractors. Consider the autonomous differential equation (7.1) ẋ = f(x), where f C r (lr d, lr d ), r 1. For notation, for any x lr d, c lr, we let B(x, c) = { ξ lr d : ξ x < c }. Suppose
More informationSYMMETRY RESULTS FOR PERTURBED PROBLEMS AND RELATED QUESTIONS. Massimo Grosi Filomena Pacella S. L. Yadava. 1. Introduction
Topological Methods in Nonlinear Analysis Journal of the Juliusz Schauder Center Volume 21, 2003, 211 226 SYMMETRY RESULTS FOR PERTURBED PROBLEMS AND RELATED QUESTIONS Massimo Grosi Filomena Pacella S.
More informationOn the stabilizing effect of specialist predators on founder-controlled communities
On the stabilizing effect of specialist predators on founder-controlled communities Sebastian J. Schreiber Department of Mathematics Western Washington University Bellingham, WA 98225 May 2, 2003 Appeared
More informationTOPOLOGICAL EQUIVALENCE OF LINEAR ORDINARY DIFFERENTIAL EQUATIONS
TOPOLOGICAL EQUIVALENCE OF LINEAR ORDINARY DIFFERENTIAL EQUATIONS ALEX HUMMELS Abstract. This paper proves a theorem that gives conditions for the topological equivalence of linear ordinary differential
More informationSEMELPAROUS PERIODICAL INSECTS
SEMELPROUS PERIODICL INSECTS BRENDN FRY Honors Thesis Spring 2008 Chapter Introduction. History Periodical species are those whose life cycle has a fixed length of n years, and whose adults do not appear
More informationOn the Fundamental Bifurcation Theorem for Semelparous Leslie Models
On the Fundamental Bifurcation Theorem for Semelparous Leslie Models J M Cushing May 11, 215 Abstract This brief survey of nonlinear Leslie models focuses on the fundamental bifurcation that occurs when
More informationEpidemics in Two Competing Species
Epidemics in Two Competing Species Litao Han 1 School of Information, Renmin University of China, Beijing, 100872 P. R. China Andrea Pugliese 2 Department of Mathematics, University of Trento, Trento,
More informationMonotone Control System. Brad C. Yu SEACS, National ICT Australia And RSISE, The Australian National University June, 2005
Brad C. Yu SEACS, National ICT Australia And RSISE, The Australian National University June, 005 Foreword The aim of this presentation is to give a (primitive) overview of monotone systems and monotone
More informationCHAPTER 7. Connectedness
CHAPTER 7 Connectedness 7.1. Connected topological spaces Definition 7.1. A topological space (X, T X ) is said to be connected if there is no continuous surjection f : X {0, 1} where the two point set
More informationDynamics 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 informationGLOBAL DYNAMICS OF A LOTKA VOLTERRA MODEL WITH TWO PREDATORS COMPETING FOR ONE PREY JAUME LLIBRE AND DONGMEI XIAO
This is a preprint of: Global dynamics of a Lotka-Volterra model with two predators competing for one prey, Jaume Llibre, Dongmei Xiao, SIAM J Appl Math, vol 742), 434 453, 214 DOI: [11137/1392397] GLOBAL
More informationCHAOTIC 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 informationMath 341: Convex Geometry. Xi Chen
Math 341: Convex Geometry Xi Chen 479 Central Academic Building, University of Alberta, Edmonton, Alberta T6G 2G1, CANADA E-mail address: xichen@math.ualberta.ca CHAPTER 1 Basics 1. Euclidean Geometry
More informationCHAOTIC BEHAVIOR IN A FORECAST MODEL
CHAOTIC BEHAVIOR IN A FORECAST MODEL MICHAEL BOYLE AND MARK TOMFORDE Abstract. We examine a certain interval map, called the weather map, that has been used by previous authors as a toy model for weather
More informationChapter 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 informationEilenberg-Steenrod properties. (Hatcher, 2.1, 2.3, 3.1; Conlon, 2.6, 8.1, )
II.3 : Eilenberg-Steenrod properties (Hatcher, 2.1, 2.3, 3.1; Conlon, 2.6, 8.1, 8.3 8.5 Definition. Let U be an open subset of R n for some n. The de Rham cohomology groups (U are the cohomology groups
More informationLECTURE 15: COMPLETENESS AND CONVEXITY
LECTURE 15: COMPLETENESS AND CONVEXITY 1. The Hopf-Rinow Theorem Recall that a Riemannian manifold (M, g) is called geodesically complete if the maximal defining interval of any geodesic is R. On the other
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);
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 informationMath 676. A compactness theorem for the idele group. and by the product formula it lies in the kernel (A K )1 of the continuous idelic norm
Math 676. A compactness theorem for the idele group 1. Introduction Let K be a global field, so K is naturally a discrete subgroup of the idele group A K and by the product formula it lies in the kernel
More informationA NICE PROOF OF FARKAS LEMMA
A NICE PROOF OF FARKAS LEMMA DANIEL VICTOR TAUSK Abstract. The goal of this short note is to present a nice proof of Farkas Lemma which states that if C is the convex cone spanned by a finite set and if
More informationTHE CONLEY ATTRACTORS OF AN ITERATED FUNCTION SYSTEM
Bull. Aust. Math. Soc. 88 (2013), 267 279 doi:10.1017/s0004972713000348 THE CONLEY ATTRACTORS OF AN ITERATED FUNCTION SYSTEM MICHAEL F. BARNSLEY and ANDREW VINCE (Received 15 August 2012; accepted 21 February
More informationThe Skorokhod reflection problem for functions with discontinuities (contractive case)
The Skorokhod reflection problem for functions with discontinuities (contractive case) TAKIS KONSTANTOPOULOS Univ. of Texas at Austin Revised March 1999 Abstract Basic properties of the Skorokhod reflection
More information7 Planar systems of linear ODE
7 Planar systems of linear ODE Here I restrict my attention to a very special class of autonomous ODE: linear ODE with constant coefficients This is arguably the only class of ODE for which explicit solution
More informationREPRESENTING HOMOLOGY AUTOMORPHISMS OF NONORIENTABLE SURFACES
REPRESENTING HOMOLOGY AUTOMORPHISMS OF NONORIENTABLE SURFACES JOHN D. MCCARTHY AND ULRICH PINKALL Abstract. In this paper, we prove that every automorphism of the first homology group of a closed, connected,
More information1 )(y 0) {1}. Thus, the total count of points in (F 1 (y)) is equal to deg y0
1. Classification of 1-manifolds Theorem 1.1. Let M be a connected 1 manifold. Then M is diffeomorphic either to [0, 1], [0, 1), (0, 1), or S 1. We know that none of these four manifolds are not diffeomorphic
More informationPERIODIC 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 informationLOCAL 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 informationON THE SIMILARITY OF CENTERED OPERATORS TO CONTRACTIONS. Srdjan Petrović
ON THE SIMILARITY OF CENTERED OPERATORS TO CONTRACTIONS Srdjan Petrović Abstract. In this paper we show that every power bounded operator weighted shift with commuting normal weights is similar to a contraction.
More informationLozi-like maps. M. Misiurewicz and S. Štimac. May 13, 2017
Lozi-like maps M. Misiurewicz and S. Štimac May 13, 017 Abstract We define a broad class of piecewise smooth plane homeomorphisms which have properties similar to the properties of Lozi maps, including
More informationAppendix B Convex analysis
This version: 28/02/2014 Appendix B Convex analysis In this appendix we review a few basic notions of convexity and related notions that will be important for us at various times. B.1 The Hausdorff distance
More informationCOMPLEXITY OF SHORT RECTANGLES AND PERIODICITY
COMPLEXITY OF SHORT RECTANGLES AND PERIODICITY VAN CYR AND BRYNA KRA Abstract. The Morse-Hedlund Theorem states that a bi-infinite sequence η in a finite alphabet is periodic if and only if there exists
More information6.254 : Game Theory with Engineering Applications Lecture 7: Supermodular Games
6.254 : Game Theory with Engineering Applications Lecture 7: Asu Ozdaglar MIT February 25, 2010 1 Introduction Outline Uniqueness of a Pure Nash Equilibrium for Continuous Games Reading: Rosen J.B., Existence
More informationProjective Schemes with Degenerate General Hyperplane Section II
Beiträge zur Algebra und Geometrie Contributions to Algebra and Geometry Volume 44 (2003), No. 1, 111-126. Projective Schemes with Degenerate General Hyperplane Section II E. Ballico N. Chiarli S. Greco
More informationExercise Solutions to Functional Analysis
Exercise Solutions to Functional Analysis Note: References refer to M. Schechter, Principles of Functional Analysis Exersize that. Let φ,..., φ n be an orthonormal set in a Hilbert space H. Show n f n
More informationFeedback control for chemostat models
J. Math. Biol.46, 48 70 (2003) Mathematical Biology Digital Object Identifier (DOI): 10.1007/s00285-002-0170-x Patrick De Leenheer Hal Smith Feedback control for chemostat models Received: 1 November 2001
More informationGlobal Analysis of an Epidemic Model with Nonmonotone Incidence Rate
Global Analysis of an Epidemic Model with Nonmonotone Incidence Rate Dongmei Xiao Department of Mathematics, Shanghai Jiaotong University, Shanghai 00030, China E-mail: xiaodm@sjtu.edu.cn and Shigui Ruan
More informationStability Implications of Bendixson s Criterion
Wilfrid Laurier University Scholars Commons @ Laurier Mathematics Faculty Publications Mathematics 1998 Stability Implications of Bendixson s Criterion C. Connell McCluskey Wilfrid Laurier University,
More informationTowards a theory of ecotone resilience: coastal vegetation on a salinity gradient
Towards a theory of ecotone resilience: coastal vegetation on a salinity gradient Jiang Jiang, Daozhou Gao and Donald L. DeAngelis Appendix A 1.1 The model without diffusion dn 1 = N 1 ρ 1 fs 11 N 1 1
More informationSHADOWING PROPERTY FOR INDUCED SET-VALUED DYNAMICAL SYSTEMS OF SOME EXPANSIVE MAPS
Dynamic Systems and Applications 19 (2010) 405-414 SHADOWING PROPERTY FOR INDUCED SET-VALUED DYNAMICAL SYSTEMS OF SOME EXPANSIVE MAPS YUHU WU 1,2 AND XIAOPING XUE 1 1 Department of Mathematics, Harbin
More informationOn the Diffeomorphism Group of S 1 S 2. Allen Hatcher
On the Diffeomorphism Group of S 1 S 2 Allen Hatcher This is a revision, written in December 2003, of a paper of the same title that appeared in the Proceedings of the AMS 83 (1981), 427-430. The main
More informationBifurcation and Stability Analysis of a Prey-predator System with a Reserved Area
ISSN 746-733, England, UK World Journal of Modelling and Simulation Vol. 8 ( No. 4, pp. 85-9 Bifurcation and Stability Analysis of a Prey-predator System with a Reserved Area Debasis Mukherjee Department
More informationA note on the monotonicity of matrix Riccati equations
DIMACS Technical Report 2004-36 July 2004 A note on the monotonicity of matrix Riccati equations by Patrick De Leenheer 1,2 Eduardo D. Sontag 3,4 1 DIMACS Postdoctoral Fellow, email: leenheer@math.rutgers.edu
More informationTHEODORE VORONOV DIFFERENTIABLE MANIFOLDS. Fall Last updated: November 26, (Under construction.)
4 Vector fields Last updated: November 26, 2009. (Under construction.) 4.1 Tangent vectors as derivations After we have introduced topological notions, we can come back to analysis on manifolds. Let M
More informationarxiv: 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 informationDynamical Systems: Ecological Modeling
Dynamical Systems: Ecological Modeling G Söderbacka Abstract Ecological modeling is becoming increasingly more important for modern engineers. The mathematical language of dynamical systems has been applied
More informationResearch Article Bifurcation and Global Dynamics of a Leslie-Gower Type Competitive System of Rational Difference Equations with Quadratic Terms
Hindawi Abstract and Applied Analysis Volume 2017 Article ID 3104512 19 pages https://doi.org/10.1155/2017/3104512 Research Article Bifurcation and Global Dynamics of a Leslie-Gower Type Competitive System
More informationAustin Mohr Math 730 Homework. f(x) = y for some x λ Λ
Austin Mohr Math 730 Homework In the following problems, let Λ be an indexing set and let A and B λ for λ Λ be arbitrary sets. Problem 1B1 ( ) Show A B λ = (A B λ ). λ Λ λ Λ Proof. ( ) x A B λ λ Λ x A
More informationNonlinear dynamics & chaos BECS
Nonlinear dynamics & chaos BECS-114.7151 Phase portraits Focus: nonlinear systems in two dimensions General form of a vector field on the phase plane: Vector notation: Phase portraits Solution x(t) describes
More informationMath 530 Lecture Notes. Xi Chen
Math 530 Lecture Notes Xi Chen 632 Central Academic Building, University of Alberta, Edmonton, Alberta T6G 2G1, CANADA E-mail address: xichen@math.ualberta.ca 1991 Mathematics Subject Classification. Primary
More informationAn 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 informationDefinitions. Notations. Injective, Surjective and Bijective. Divides. Cartesian Product. Relations. Equivalence Relations
Page 1 Definitions Tuesday, May 8, 2018 12:23 AM Notations " " means "equals, by definition" the set of all real numbers the set of integers Denote a function from a set to a set by Denote the image of
More informationCOINCIDENCE AND THE COLOURING OF MAPS
COINCIDENCE AND THE COLOURING OF MAPS JAN M. AARTS AND ROBBERT J. FOKKINK ABSTRACT In [8, 6] it was shown that for each k and n such that 2k n, there exists a contractible k-dimensional complex Y and a
More informationSynchronization, Chaos, and the Dynamics of Coupled Oscillators. Supplemental 1. Winter Zachary Adams Undergraduate in Mathematics and Biology
Synchronization, Chaos, and the Dynamics of Coupled Oscillators Supplemental 1 Winter 2017 Zachary Adams Undergraduate in Mathematics and Biology Outline: The shift map is discussed, and a rigorous proof
More informationViscosity Iterative Approximating the Common Fixed Points of Non-expansive Semigroups in Banach Spaces
Viscosity Iterative Approximating the Common Fixed Points of Non-expansive Semigroups in Banach Spaces YUAN-HENG WANG Zhejiang Normal University Department of Mathematics Yingbing Road 688, 321004 Jinhua
More informationRUSSELL S HYPERSURFACE FROM A GEOMETRIC POINT OF VIEW
Hedén, I. Osaka J. Math. 53 (2016), 637 644 RUSSELL S HYPERSURFACE FROM A GEOMETRIC POINT OF VIEW ISAC HEDÉN (Received November 4, 2014, revised May 11, 2015) Abstract The famous Russell hypersurface is
More informationBoundary Behavior of Excess Demand Functions without the Strong Monotonicity Assumption
Boundary Behavior of Excess Demand Functions without the Strong Monotonicity Assumption Chiaki Hara April 5, 2004 Abstract We give a theorem on the existence of an equilibrium price vector for an excess
More informationShapley Polygons in 4 4 Games
Games 2010, 1, 189-220; doi:10.3390/g1030189 OPEN ACCESS games ISSN 2073-4336 www.mdpi.com/journal/games Article Shapley Polygons in 4 4 Games Martin Hahn Department of Mathematics, University Vienna,
More informationPattern generation, topology, and non-holonomic systems
Systems & Control Letters ( www.elsevier.com/locate/sysconle Pattern generation, topology, and non-holonomic systems Abdol-Reza Mansouri Division of Engineering and Applied Sciences, Harvard University,
More informationRemoving the Noise from Chaos Plus Noise
Removing the Noise from Chaos Plus Noise Steven P. Lalley Department of Statistics University of Chicago November 5, 2 Abstract The problem of extracting a signal x n generated by a dynamical system from
More information121B: ALGEBRAIC TOPOLOGY. Contents. 6. Poincaré Duality
121B: ALGEBRAIC TOPOLOGY Contents 6. Poincaré Duality 1 6.1. Manifolds 2 6.2. Orientation 3 6.3. Orientation sheaf 9 6.4. Cap product 11 6.5. Proof for good coverings 15 6.6. Direct limit 18 6.7. Proof
More informationGlobal Stability of SEIRS Models in Epidemiology
Global Stability of SRS Models in pidemiology M. Y. Li, J. S. Muldowney, and P. van den Driessche Department of Mathematics and Statistics Mississippi State University, Mississippi State, MS 39762 Department
More informationMathematische Annalen
Math. Ann. 334, 457 464 (2006) Mathematische Annalen DOI: 10.1007/s00208-005-0743-2 The Julia Set of Hénon Maps John Erik Fornæss Received:6 July 2005 / Published online: 9 January 2006 Springer-Verlag
More informationNotes for Functional Analysis
Notes for Functional Analysis Wang Zuoqin (typed by Xiyu Zhai) November 6, 2015 1 Lecture 18 1.1 The convex hull Let X be any vector space, and E X a subset. Definition 1.1. The convex hull of E is the
More informationCOUNTING NUMERICAL SEMIGROUPS BY GENUS AND SOME CASES OF A QUESTION OF WILF
COUNTING NUMERICAL SEMIGROUPS BY GENUS AND SOME CASES OF A QUESTION OF WILF NATHAN KAPLAN Abstract. The genus of a numerical semigroup is the size of its complement. In this paper we will prove some results
More information3.5 Competition Models: Principle of Competitive Exclusion
94 3. Models for Interacting Populations different dimensional parameter changes. For example, doubling the carrying capacity K is exactly equivalent to halving the predator response parameter D. The dimensionless
More informationẋ = f(x, y), ẏ = g(x, y), (x, y) D, can only have periodic solutions if (f,g) changes sign in D or if (f,g)=0in D.
4 Periodic Solutions We have shown that in the case of an autonomous equation the periodic solutions correspond with closed orbits in phase-space. Autonomous two-dimensional systems with phase-space R
More informationthe neumann-cheeger constant of the jungle gym
the neumann-cheeger constant of the jungle gym Itai Benjamini Isaac Chavel Edgar A. Feldman Our jungle gyms are dimensional differentiable manifolds M, with preferred Riemannian metrics, associated to
More informationSome notes on Coxeter groups
Some notes on Coxeter groups Brooks Roberts November 28, 2017 CONTENTS 1 Contents 1 Sources 2 2 Reflections 3 3 The orthogonal group 7 4 Finite subgroups in two dimensions 9 5 Finite subgroups in three
More informationCourse 311: Michaelmas Term 2005 Part III: Topics in Commutative Algebra
Course 311: Michaelmas Term 2005 Part III: Topics in Commutative Algebra D. R. Wilkins Contents 3 Topics in Commutative Algebra 2 3.1 Rings and Fields......................... 2 3.2 Ideals...............................
More informationLecture 4: Knot Complements
Lecture 4: Knot Complements Notes by Zach Haney January 26, 2016 1 Introduction Here we discuss properties of the knot complement, S 3 \ K, for a knot K. Definition 1.1. A tubular neighborhood V k S 3
More informationLECTURE 11: SYMPLECTIC TORIC MANIFOLDS. Contents 1. Symplectic toric manifolds 1 2. Delzant s theorem 4 3. Symplectic cut 8
LECTURE 11: SYMPLECTIC TORIC MANIFOLDS Contents 1. Symplectic toric manifolds 1 2. Delzant s theorem 4 3. Symplectic cut 8 1. Symplectic toric manifolds Orbit of torus actions. Recall that in lecture 9
More informationSHADOWING AND ω-limit SETS OF CIRCULAR JULIA SETS
SHADOWING AND ω-limit SETS OF CIRCULAR JULIA SETS ANDREW D. BARWELL, JONATHAN MEDDAUGH, AND BRIAN E. RAINES Abstract. In this paper we consider quadratic polynomials on the complex plane f c(z) = z 2 +
More information08a. Operators on Hilbert spaces. 1. Boundedness, continuity, operator norms
(February 24, 2017) 08a. Operators on Hilbert spaces Paul Garrett garrett@math.umn.edu http://www.math.umn.edu/ garrett/ [This document is http://www.math.umn.edu/ garrett/m/real/notes 2016-17/08a-ops
More information12. Hilbert Polynomials and Bézout s Theorem
12. Hilbert Polynomials and Bézout s Theorem 95 12. Hilbert Polynomials and Bézout s Theorem After our study of smooth cubic surfaces in the last chapter, let us now come back to the general theory of
More informationReal Analysis Math 131AH Rudin, Chapter #1. Dominique Abdi
Real Analysis Math 3AH Rudin, Chapter # Dominique Abdi.. If r is rational (r 0) and x is irrational, prove that r + x and rx are irrational. Solution. Assume the contrary, that r+x and rx are rational.
More informationDivision of the Humanities and Social Sciences. Sums of sets, etc.
Division of the Humanities and Social Sciences Sums of sets, etc. KC Border September 2002 Rev. November 2012 Rev. September 2013 If E and F are subsets of R m, define the sum E + F = {x + y : x E; y F
More informationFeedback-mediated oscillatory coexistence in the chemostat
Feedback-mediated oscillatory coexistence in the chemostat Patrick De Leenheer and Sergei S. Pilyugin Department of Mathematics, University of Florida deleenhe,pilyugin@math.ufl.edu 1 Introduction We study
More informationSHADOWING AND INTERNAL CHAIN TRANSITIVITY
SHADOWING AND INTERNAL CHAIN TRANSITIVITY JONATHAN MEDDAUGH AND BRIAN E. RAINES Abstract. The main result of this paper is that a map f : X X which has shadowing and for which the space of ω-limits sets
More information