* τσ σκ. Supporting Text. A. Stability Analysis of System 2

Similar documents
New approach to study the van der Pol equation for large damping

10 Back to planar nonlinear systems

Local Phase Portrait of Nonlinear Systems Near Equilibria

520 Chapter 9. Nonlinear Differential Equations and Stability. dt =

Chapter 8 Equilibria in Nonlinear Systems

EE222: Solutions to Homework 2

n n. ( t) ( ) = = Ay ( ) a y

ARTICLE IN PRESS. Nonlinear Analysis: Real World Applications. Contents lists available at ScienceDirect

Problem set 6 Math 207A, Fall 2011 Solutions. 1. A two-dimensional gradient system has the form

Two Limit Cycles in a Two-Species Reaction

Nonlinear Systems Examples Sheet: Solutions

A PREY-PREDATOR MODEL WITH HOLLING II FUNCTIONAL RESPONSE AND THE CARRYING CAPACITY OF PREDATOR DEPENDING ON ITS PREY

INTEGRABILITY AND GLOBAL DYNAMICS OF THE MAY LEONARD MODEL

NONLINEAR DYNAMICS AND CHAOS. Numerical integration. Stability analysis

MAE 82 Engineering Mathematics

(4p) See Theorem on pages in the course book. 3. Consider the following system of ODE: z 2. n j 1

The Hopf Bifurcation Theorem: Abstract. Introduction. Transversality condition; the eigenvalues cross the imginary axis with non-zero speed

Chaos Control and Synchronization of a Fractional-order Autonomous System

7.7 LOTKA-VOLTERRA M ODELS

MULTIPLE MIXED-TYPE ATTRACTORS IN A COMPETITION MODEL. 1. Introduction

Math Notes on sections 7.8,9.1, and 9.3. Derivation of a solution in the repeated roots case: 3 4 A = 1 1. x =e t : + e t w 2.

QUALITATIVE ANALYSIS OF DIFFERENTIAL EQUATIONS

OPTIMAL CONTROL FOR A PARABOLIC SYSTEM MODELLING CHEMOTAXIS

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

Research Article Bifurcations in Van der Pol-Like Systems

arxiv: v1 [math.ds] 11 Aug 2017

Research Article Chaotic Attractor Generation via a Simple Linear Time-Varying System

ME 406 Trapping a Limit Cycle

Robustness Analysis of a Position Observer for Surface Mount Permanent Magnet Synchronous Motors vis à vis Rotor Saliency

= F ( x; µ) (1) where x is a 2-dimensional vector, µ is a parameter, and F :

Two Dimensional Linear Systems of ODEs

STABILITY AND NEIMARK-SACKER BIFURCATION OF A SEMI-DISCRETE POPULATION MODEL

Global Analysis of an Epidemic Model with Nonmonotone Incidence Rate

15. Eigenvalues, Eigenvectors

First Order Equations

THE ROSENZWEIG-MACARTHUR PREDATOR-PREY MODEL

Journal of Inequalities in Pure and Applied Mathematics

Dynamical aspects of multi-round horseshoe-shaped homoclinic orbits in the RTBP

MATHEMATICAL MODELING AND THE STABILITY STUDY OF SOME CHEMICAL PHENOMENA

Examples and counterexamples for Markus-Yamabe and LaSalle global asymptotic stability problems Anna Cima, Armengol Gasull and Francesc Mañosas

Problem List MATH 5173 Spring, 2014

Math 181/281. Rumbos Spring 2011 Page 1. Solutions to Assignment #5. Hence, the dynamical system, θ(t, p, q), for (t, p, q) R 3 corresponding = F.

Dynamics of multiple pendula without gravity

Functions of Several Variables

On the Stability of a Differential-Difference Analogue of a Two-Dimensional Problem of Integral Geometry

Analytic Solutions of Partial Differential Equations

MMJ1153 COMPUTATIONAL METHOD IN SOLID MECHANICS PRELIMINARIES TO FEM

Appendix: A Computer-Generated Portrait Gallery

Problem Set Number 5, j/2.036j MIT (Fall 2014)

0 as an eigenvalue. degenerate

8 Vector Field Topology

PLANAR ANALYTIC NILPOTENT GERMS VIA ANALYTIC FIRST INTEGRALS

BACKWARD FOKKER-PLANCK EQUATION FOR DETERMINATION OF MODEL PREDICTABILITY WITH UNCERTAIN INITIAL ERRORS

AN EXTENSION OF THE ANTOCI-DEI-GALEOTTI EVOLUTIONARY MODEL FOR ENVIRONMENT PROTECTION THROUGH FINANCIAL INSTRUMENTS

Complex dynamical behaviour of Disease Spread in a Plant- Herbivore System with Allee Effect

Dynamics in Delay Cournot Duopoly

Elliptic Equations. Chapter Definitions. Contents. 4.2 Properties of Laplace s and Poisson s Equations

ABOUT THE WEAK EFFICIENCIES IN VECTOR OPTIMIZATION

THE SEPARATRIX FOR A SECOND ORDER ORDINARY DIFFERENTIAL EQUATION OR A 2 2 SYSTEM OF FIRST ORDER ODE WHICH ALLOWS A PHASE PLANE QUANTITATIVE ANALYSIS

THE collective control of multi-agent systems is a rapidly

TRANSFER ORBITS GUIDED BY THE UNSTABLE/STABLE MANIFOLDS OF THE LAGRANGIAN POINTS

and ( x, y) in a domain D R a unique real number denoted x y and b) = x y = {(, ) + 36} that is all points inside and on

THE collective control of multi-agent systems is a rapidly

ENGI 9420 Engineering Analysis Solutions to Additional Exercises

Research Article A New Four-Scroll Chaotic Attractor Consisted of Two-Scroll Transient Chaotic and Two-Scroll Ultimate Chaotic

Heteroclinic Bifurcation and Multistability in a Ratio-dependent Predator-Prey System with Michaelis-Menten Type Harvesting Rate

APPENDIX D Rotation and the General Second-Degree Equation

MATH 23 EXAM 1 REVIEW PROBLEMS

PICONE S IDENTITY FOR A SYSTEM OF FIRST-ORDER NONLINEAR PARTIAL DIFFERENTIAL EQUATIONS

Lecture 5: 3-D Rotation Matrices.

Chapter 6 2D Elements Plate Elements

A BENDIXSON DULAC THEOREM FOR SOME PIECEWISE SYSTEMS

Get Solution of These Packages & Learn by Video Tutorials on Matrices

Extra Credit Solutions Math 181, Fall 2018 Instructor: Dr. Doreen De Leon

SET-I SECTION A SECTION B. General Instructions. Time : 3 hours Max. Marks : 100

ME 406 Example of Stable and Unstable Manifolds

Stability Analysis of Mathematical Model for New Hydraulic Bilateral Rolling Shear

Limit Cycles II. Prof. Ned Wingreen MOL 410/510. How to prove a closed orbit exists?

Continuous Threshold Policy Harvesting in Predator-Prey Models

Canards at Folded Nodes

Fully Discrete Energy Stable High Order Finite Difference Methods for Hyperbolic Problems in Deforming Domains: An Initial Investigation

The Force Table Introduction: Theory:

Polynomial vector fields in R 3 having a quadric of revolution as an invariant algebraic surface

Limit cycles bifurcating from the periodic orbits of a discontinuous piecewise linear differential center with two zones

LATERAL BUCKLING ANALYSIS OF ANGLED FRAMES WITH THIN-WALLED I-BEAMS

On Range and Reflecting Functions About the Line y = mx

NATIONAL UNIVERSITY OF SINGAPORE Department of Mathematics MA4247 Complex Analysis II Lecture Notes Part I

SPATIALLY EXPLICIT POPULATION MODELS

REVISION SHEET FP2 (MEI) CALCULUS. x x 0.5. x x 1.5. π π. Standard Calculus of Inverse Trig and Hyperbolic Trig Functions = + = + arcsin x = +

Painlevé VI equations with algebraic solutions and family of curves 1

The Higgins-Selkov oscillator

MATH Line integrals III Fall The fundamental theorem of line integrals. In general C

A Meshless Simulations for 2D Nonlinear Reaction-diffusion Brusselator System

Section 5.4 (Systems of Linear Differential Equation); 9.5 Eigenvalues and Eigenvectors, cont d

FACULTY OF MATHEMATICAL STUDIES MATHEMATICS FOR PART I ENGINEERING. Lectures AB = BA = I,

Math 3301 Homework Set Points ( ) ( ) I ll leave it to you to verify that the eigenvalues and eigenvectors for this matrix are, ( ) ( ) ( ) ( )

One-Dimensional Wave Propagation (without distortion or attenuation)

arxiv: v1 [nlin.ps] 3 Sep 2009

arxiv: v1 [hep-ph] 8 May 2013

IMA. Budyko s Model as a Dynamical System. Math and Climate Seminar

Transcription:

Supporting Tet A. Stabilit Analsis of Sstem In this Appendi, we stud the stabilit of the equilibria of sstem. If we redefine the sstem as, T when -, then there are at most three equilibria: E,, E κ -,, κ κ E,, where E eists if >. To determine the properties of these three equilibria and the topological structures, set,. ecall, we have d dt d dt κ κ., [A] otice that E,, E κ -, are still equilibria of sstem A, and the third equilibrium E becomes κ E,,. We first discuss the stabilit of E and E. Proposition A. The semitrivial equilibrium E κ -, is stable if < and unstable if >.

Proof. The variational matri of sstem A at E takes the form J. The eigenvalues are < λ and λ. Thus, E is stable if < and unstable if >. Proposition A. The positive equilibrium, E is locall asmptoticall stable if >. Proof. The variational matri of sstem A at E takes the form J. We then have

det > J and. < J tr Therefore, E is locall asmptoticall stable., E is a degenerate equilibrium of sstem A. To determine its propert, rescale the age variable b dt da, sstem A becomes

d dt d dt 3 κ κ X Y, φ,,, ψ,, [A] where X, and Y, are homogeneous polnomials in and of degree, φ, and ψ, are polnomials in and of higher degrees. Let r cosθ, r sinθ, θ π /. Define G θ cosθ Y cosθ,sinθ sinθ X cosθ,sinθ. The characteristic equation is as follows: G θ r cosθ sinθ cosθ sinθ. [A3] We can see that either G θ has a finite number of real roots θ k,,..., n or k G θ. B the results in Zhang et al., no orbit of sstem A can tend to, spirall. If G θ, then it is singular. If Gθ is not identicall zero, there are at most 5 directions θ θ i along which an orbit of sstem A ma approach the origin; these directions θ θ i are given b solutions of the characteristic Eq. A3. If the orbit of sstem A tends to the origin as a sequence, { t n } tends to or along a direction θ θ, then the direction is called a characteristic direction. The orbits of i sstem A, which approach the origin along characteristic directions, divide a neighborhood of the origin into a finite number of open regions, called sectors. or an analtic sstem, there are three tpes of sectors: hperbolic, parabolic, and elliptic [see Perko ].

Solving for θ in Eq. A3 for θ π /, we obtain three simple roots: θ, θ π /, θ arctan. 3 Proposition A3. There eist ε > and r > such that there is a unique orbit of sstem A in {, θ : < r < r, θ θ < ε } 3 r that tends to the trivial equilibrium E, along θ θ 3 as t. Proof. Making the Briot-Bouquet transformation, z, ds dt, we transform sstem A into the following sstem: d z ds κ dz z z. ds, [A4] The Briot-Bouquet transformation maps the first, second, third, and fourth quadrants in the, plane into the first, third, second, and fourth quadrants in the, z plane, respectivel. The inverse Briot-Bouquet transformation maps the z ais in the, z plane to the point, in the, plane, and maps the orbits in the left of the z ais in the, z plane to orbits in the left of the ais in the, plane with reversed directions. Thus, we consider onl equilibria of sstem A4 in the z ais. There are two equilibria:, and, /. Linear analsis shows that, is an unstable node, and, / is an unstable saddle. Thus, there is a unique separatri in the interior of the first quadrant of sstem A4, which tends to, / as t.

B the inverse Briot-Bouquet transformation, there eist ε > and r >, such that there is a unique orbit of sstem A in {, θ : < r < r, θ θ < ε }, along θ θ 3 as t. 3 r that tends to Proposition A4. Sstem A does not have limit ccles. Proof. Denote the functions on the right-hand side in sstem A b f, and g,. Choose a Dulac function D, and notice that, >. We have D, f, D, g, <. This implies that sstem A does not have a limit ccle. Combining Propositions A-A4 and using Poincaré-Bendison s Theorem [see Perko ], we have the following theorem about the dnamical behavior of solutions to sstems A and thus sstem. Theorem A5. or the original sstem, the topological structure of the trivial equilibrium E in the interior of the first quadrant consists of a parabolic sector and a hperbolic sector; the semitrivial equilibrium E is stable if < and unstable if >; the positive equilibrium E is a global attractor if >. B. Stead States for Sstem 3 To find the stead states of sstem 3, consider

λ νs η[ Φ i i Φ i Φ ]S, d da i a µ ai a, d da i a µ ai a. [B] rom the first equation in B, we have λ S ν ηφ, Φ [ Φ i Φ i Φ i ]. [B] rom the second and third equations in B, we have i a ep i a ep µ a ˆ dˆ a i ep µ a ˆ dˆ a i ep µ a ˆ dˆ a η Φ i i Φ µ a ˆ dˆ a η i Φ [ ] [ ] Using the definitions of T, and T, we have T i η ai ai da ep η[ i T i ]S T µ a ˆ dˆ a S [B3] and i η ai da ep µ a ˆ dˆ a S η[ i ]S [B4] T rom B, we have Φ λ ν S /η S. B3 and B4 impl that i i η ΦS. We then have the following claim:

Claim B. If i i, then i i λ S. µ ow B4 implies that S η T if i. [B5] Substituting B5 into B3, we have i [ i T i, which implies that T ]/T i i T T T if i. [B6] We now prove the second claim. Claim B. A necessar condition for i > is T >. T Because T i i T λ ν S i T T T, T we have i λ ν ηt T T, T T [B7] and

i λ ν ηt T T T. T T [B8] Claim B3. A necessar condition for i > and i > is λ > ν/ηt. or the eistence of stead states, we have three cases. a If λη/ν mat, T <, then i. B3 thus implies i. The equilibrium is given b S λ / µ, I, I. b If λη/ν mat, T λη/νt >, then i > and i. B3 and B4 give the stead-state values S /ηt, I λ ν ep ηt µ a ˆ dˆ a, I. c If λη/ν mat, T λη/νt >, then i > and i >. B5, B7, and B8 ield the following stead-state values: S / ηt I, I ν λ ηt ν λ ηt T T T T T T T T T ep ep µ ˆ ˆ a da. µ ˆ ˆ a da,. Zhang, Z., Ding, T., Huang, W. & Dong, Z. 99 Qualitative Theor of Differential Equations Transl. Math. Monogr., Am. Math. Soc., Providence, I.

. Perko, L. 996 Differential Equations and Dnamical Sstems Springer, ew York.