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

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doi:10.1155/2009/132802

Research Article

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

S. Kalabu ˇsi ´c,

1

M. R. S. Kulenovi ´c,

2

and E. Pilav

1

1Department of Mathematics, University of Sarajevo, 71 000 Sarajevo, Bosnia and Herzegovina

2Department of Mathematics, University of Rhode Island, Kingston, RI 02881-0816, USA

Correspondence should be addressed to M. R. S. Kulenovi´c,kulenm@math.uri.edu Received 26 August 2009; Accepted 8 December 2009

Recommended by Panayiotis Siafarikas

We investigate global dynamics of the following systems of difference equationsxn1 α1 β1xn/yn,yn1 α2γ2yn/A2xn,n 0,1,2, . . ., where the parametersα1,β1,α2,γ2, and A2are positive numbers and initial conditionsx0andy0are arbitrary nonnegative numbers such thaty0>0. We show that this system has rich dynamics which depend on the part of parametric space. We show that the basins of attractions of different locally asymptotically stable equilibrium points are separated by the global stable manifolds of either saddle points or of nonhyperbolic equilibrium points.

Copyrightq2009 S. Kalabuˇsi´c et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

1. Introduction and Preliminaries

In this paper, we study the global dynamics of the following rational system of difference equations:

xn1 α1β1xn

yn

, yn1 α2γ2yn

A2xn ,

n0,1,2, . . . , 1.1

where the parametersα1, β1, α2, γ2,andA2are positive numbers and initial conditionsx0≥ 0 andy0 > 0 are arbitrary numbers. System1.1was mentioned in 1as a part of Open Problem 3 which asked for a description of global dynamics of three specific competitive systems. According to the labeling in 1, system1.1 is called 21,29. In this paper, we provide the precise description of global dynamics of system1.1. We show that system

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1.1has a variety of dynamics that depend on the value of parameters. We show that system 1.1may have between zero and two equilibrium points, which may have different local character. If system1.1 has one equilibrium point, then this point is either locally saddle point or non-hyperbolic. If system1.1has two equilibrium points, then the pair of points is the pair of a saddle point and a sink. The major problem is determining the basins of attraction of different equilibrium points. System1.1gives an example of semistable non-hyperbolic equilibrium point. The typical results are Theorems4.1and4.5below.

System 1.1 is a competitive system, and our results are based on recent results developed for competitive systems in the plane; see 2,3. In the next section, we present some general results about competitive systems in the plane. The third section deals with some basic facts such as the non-existence of period-two solution of system1.1. The fourth section analyzes local stability which is fairly complicated for this system. Finally, the fifth section gives global dynamics for all values of parameters.

LetIandJbe intervals of real numbers. Consider a first-order system of difference equations of the form

xn1f xn, yn

, yn1g

xn, yn

, n0,1,2, . . . , 1.2

wheref:I × J → I, g :I × J → J, and x0, y0∈ I × J.

When the functionfx, y is increasing in x and decreasing in y and the function gx, yis decreasing inxand increasing iny, the system1.2is called competitive. When the functionfx, yis increasing inxand increasing inyand the functiongx, yis increasing in xand increasing in y, the system1.2is called cooperative. A map T that corresponds to the system 1.2 is defined as Tx, y fx, y, gx, y. Competitive and cooperative maps, which are called monotone maps, are defined similarly. Strongly competitive systems of difference equations or maps are those for which the functionsf andgare coordinate-wise strictly monotone.

Ifv u, v ∈ R2, we denote with Qv, ∈ {1,2,3,4}, the four quadrants inR2 relative tov, that is,Q1v {x, y∈R2 :xu, yv}, Q2v {x, y∈R2 :xu, yv}, and so on. Define the South-East partial order se onR2 byx, yses, tif and only if xsandyt. Similarly, we define the North-East partial orderneonR2byx, ynes, t if and only ifxsandyt. For A ⊂ R2 and x ∈ R2, define the distance fromxtoA as distx,A:inf{x−y : y∈ A}. By intA,we denote the interior of a setA.

It is easy to show that a mapFis competitive if it is nondecreasing with respect to the South-East partial order, that is if the following holds:

x1 y1

se

x2 y2

F

x1 y1

seF

x2 y2

. 1.3

Competitive systems were studied by many authors; see4–19, and others. All known results, with the exception of4,6,10, deal with hyperbolic dynamics. The results presented here are results that hold in both the hyperbolic and the non-hyperbolic cases.

We now state three results for competitive maps in the plane. The following definition is from18.

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Definition 1.1. LetR be a nonempty subset ofR2. A competitive mapT : RR is said to satisfy conditionOif for everyx,yinR,TxneTyimpliesxney, andT is said to satisfy conditionO−if for everyx,yinR,TxneTyimpliesynex.

The following theorem was proved by de Mottoni and Schiaffino 20 for the Poincar´e map of a periodic competitive Lotka-Volterra system of differential equations. Smith generalized the proof to competitive and cooperative maps15,16.

Theorem 1.2. LetRbe a nonempty subset ofR2. IfTis a competitive map for which (O) holds, then for allxR,{Tnx}is eventually componentwise monotone. If the orbit ofxhas compact closure, then it converges to a fixed point ofT. If instead (O−) holds, then for allxR,{T2n}is eventually componentwise monotone. If the orbit ofxhas compact closure inR, then its omega limit set is either a period-two orbit or a fixed point.

The following result is from18, with the domain of the map specialized to be the Cartesian product of intervals of real numbers. It gives a sufficient condition for conditions OandO−.

Theorem 1.3Smith18. LetR⊂R2be the Cartesian product of two intervals inR. LetT :RRbe aC1competitive map. IfTis injective and det JTx>0 for allxR,thenTsatisfies (O). IfT is injective and det JTx<0 for allxR,thenT satisfies (O−).

Theorem 1.4. LetTbe a monotone map on a closed and bounded rectangular regionR ⊂R2.Suppose thatThas a unique fixed pointe inR.Thene is a global attractor ofTonR.

The following theorems were proved by Kulenovi´c and Merino3for competitive systems in the plane, when one of the eigenvalues of the linearized system at an equilibrium hyperbolic or non-hyperbolicis by absolute value smaller than 1 while the other has an arbitrary value. These results are useful for determining basins of attraction of fixed points of competitive maps.

Our first result gives conditions for the existence of a global invariant curve through a fixed pointhyperbolic or notof a competitive map that is differentiable in a neighborhood of the fixed point, when at least one of two nonzero eigenvalues of the Jacobian matrix of the map at the fixed point has absolute value less than one. A regionR ⊂R2is rectangular if it is the Cartesian product of two intervals inR.

Theorem 1.5. LetT be a competitive map on a rectangular regionR ⊂R2. Let x∈ Rbe a fixed point ofTsuch thatΔ:R ∩intQ1x∪ Q3xis nonempty (i.e., x is not the NW or SE vertex ofR, and Tis strongly competitive onΔ. Suppose that the following statements are true.

aThe mapThas aC1extension to a neighborhood of x.

bThe Jacobian matrix ofT atxhas real eigenvaluesλ,μsuch that 0<|λ|< μ, where|λ|<1, and the eigenspaceEλassociated withλis not a coordinate axis.

Then there exists a curveC ⊂ Rthrough x that is invariant and a subset of the basin of attraction of x, such thatCis tangential to the eigenspace Eλat x, andCis the graph of a strictly increasing continuous function of the first coordinate on an interval. Any endpoints ofCin the interior of R are either fixed points or minimal period-two points. In the latter case, the set of endpoints ofCis a minimal period-two orbit ofT.

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Corollary 1.6. If T has no fixed point nor periodic points of minimal period-two in Δ, then the endpoints ofCbelong to∂R.

For maps that are strongly competitive near the fixed point, hypothesis b. of Theorem 1.5reduces just to|λ|<1. This follows from a change of variables18that allows the Perron-Frobenius Theorem to be applied to give that, at any point, the Jacobian matrix of a strongly competitive map has two real and distinct eigenvalues, the larger one in absolute value being positive, and that corresponding eigenvectors may be chosen to point in the direction of the second and first quadrants, respectively. Also, one can show that in such case no associated eigenvector is aligned with a coordinate axis.

The following result gives a description of the global stable and unstable manifolds of a saddle point of a competitive map. The result is the modification ofTheorem 1.7from12.

Theorem 1.7. In addition to the hypotheses of Theorem 1.5, suppose that μ > 1 and that the eigenspaceEμassociated withμis not a coordinate axis. If the curveCofTheorem 1.5has endpoints in∂R, thenCis the global stable manifoldWsxof x, and the global unstable manifoldWuxis a curve inRthat is tangential toEμat x and such that it is the graph of a strictly decreasing function of the first coordinate on an interval. Any endpoints ofWuxinRare fixed points ofT.

The next result is useful for determining basins of attraction of fixed points of competitive maps.

Theorem 1.8. Assume the hypotheses of Theorem 1.5, and let C be the curve whose existence is guaranteed byTheorem 1.5. If the endpoints ofCbelong to∂R, thenCseparatesRinto two connected components, namely

W:{x∈ R \ C:∃y∈ Cwith xsey}, W:{x∈ R \ C:∃y∈ Cwith ysex}, 1.4

such that the following statements are true.

iWis invariant, and distTnx,Q2x → 0 asn → ∞for every x∈ W. iiWis invariant, and distTnx,Q4x → 0 asn → ∞for every x∈ W.

If, in addition, x is an interior point ofRand T isC2 and strongly competitive in a neighborhood of x, thenT has no periodic points in the boundary ofQ1x∪ Q3xexcept for x, and the following statements are true.

iiiFor every x∈ W,there existsn0∈Nsuch thatTnx∈intQ2xfornn0. ivFor every x∈ W,there existsn0∈Nsuch thatTnx∈intQ4xfornn0.

2. Some Basic Facts

In this section we give some basic facts about the nonexistence of period-two solutions, local injectivity of mapTat the equilibrium point andOcondition.

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2.1. Equilibrium Points

The equilibrium pointsx, yof system1.1satisfy

x α1β1x

y ,

y α2γ2y A2x .

2.1

First equation of System2.1gives

y α1

x β1. 2.2

Second equation of System2.1gives

yA2x α2γ2y. 2.3

Now, using2.2, we obtain α1β1x

A2x

x α2γ2

α1β1x

x . 2.4

This implies

α1β1x

A2x α22α1β1γ2x, 2.5

which is equivalent to

β1x2x

α1α2 β1

A2γ2 α1

A2γ2

0. 2.6

Solutions of2.6are

x1

α1α2 β1

A2γ2

α1α2 β1

A2γ22−4α1β1

A2γ21

,

x2

α1α2 β1

A2γ2

α1α2 β1

A2γ2

2

−4α1β1

A2γ2

1 .

2.7

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Table 1

E1 A2< γ2,

E1, E2 A2> γ2, α1α2 β1A2γ22−4α1β1A2γ2>0, β1A2γ2< α2α1

E1E2 A2> γ2, α1α2 β1A2γ22−4α1β1A2γ2 0, β1A2γ2< α2α1

E A2γ2, α2> α1

No equilibrium A2> γ2, α1α2 β1A2γ22−4α1β1A2γ2<0

No equilibrium A2> γ2, α1α2 β1A2γ22−4α1β1A2γ2≥0, β1A2γ2> α2α1

No equilibrium A2γ2, α2α1

Now,2.2gives

y1 α1α2β1

A2γ2

α1α2 β1

A2γ2

2

−4α1β1

A2γ2

−2

A2γ2 ,

y2 α1α2β1

A2γ2

α1α2 β1

A2γ22

−4α1β1

A2γ2

−2 A2γ2

.

2.8

The equilibrium points are:

E1 x1, y1

, E1

x2, y2

, 2.9

wherex1, y1, x2, y2are given by the above relations.

Note that

xy /β1γ2. 2.10

The discriminant of2.6is given by D

α1α2 β1

A2γ22

−4α1β1

A2γ2

. 2.11

The criteria for the existence of equilibrium points are summarized inTable 1where E α2α1

β1 , β1α2 α2α1

. 2.12

2.2. ConditionOand Period-Two Solution In this section we prove three lemmas.

Lemma 2.1. System1.1satisfies eitherOor O−.Consequently, the second iterate of every solution is eventually monotone.

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Proof. The mapTassociated to system1.1is given by

T x, y

α1β1x

y 2γ2y A2x

. 2.13

Assume

T x1, y1

neT x2, y2

, 2.14

then we have

α1β1x1

y1α1β1x2

y2

, 2.15

α2γ2y1

A2x1α2γ2y2

A2x2 . 2.16

Equations2.15and2.16are equivalent, respectively, to α1

y2y1 β1

x1y2x2y1

≤0, 2.17

α2x2x1 A2γ2

y1y2 γ2

x2y1x1y2

≤0. 2.18

Now, using2.17and2.18, we have the following:

Ify2y1x1y2< x2y1x1 < x2x1, y1

ne

x2, y2

, Ify2< y1x2< x1 and/orx2y1x1y2<0⇒x2< x1

x2, y2 ne

x1, y1

. 2.19

Lemma 2.2. System1.1has no minimal period-two solution.

Proof. Set

T x, y

α1β1x

y 2γ2y A2x

. 2.20

Then

T T

x, y

T α1β1x

y 2γ2y A2x

xA2 α1

β1

α11 /y α22 ,y

α2 γ2

α22

/xA2 yA2α11

.

2.21

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Period-two solution satisfies xA2

α1 β1

α11

/y

α22x0, 2.22

y α2

γ2

α22

/xA2

yA2α11y0. 2.23

We show that this system has no other positive solutions except equilibrium points.

Equations2.22and2.23are equivalent, respectively, to

xyα1yA2α1xyα21β1A2α1β1x2β12xA2β12xy2γ2

y

α22 0, 2.24

−xy2A2y2A22xyα1yA2α1xyα2yA2α2x21xyA2β12γ2y2γ22 xA2

yA2α11 0.

2.25

Equation2.24implies

yA2α1xyα1α2 A2α1β1x2β121

α1A2β1

xy2γ2 0. 2.26

Equation2.25implies

−xy2A2x21xy

−α1α2A2β1

y

A2−α1α2 α2γ2

y2

−A22γ22 0.

2.27

Using2.26, we have

x2 −yA2α1xyα1α2A2α1β11

α1A2β1

xy2γ2

β12 . 2.28

Putting2.28into2.27, we have y

yxA2α1y

−A2xA2β1xyγ2β1γ22 α2

−xyβ1

xA2γ2 0.

2.29

This is equivalent to

x −yA22β1A2

1α2β1

β1γ2

α22

−yα1α2

yβ1

y

A2β12

. 2.30

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Putting2.30into2.24, we obtain β1

α22

α2β1y2 A2γ2

y

α1α2β1

−A2γ2

0 2.31

or y2 γ2

A2γ2

β1 γ2

−α1β1

A2γ2

y

A2γ2 −α1α2β1

A2γ2

0.

2.32 From2.31, we obtain fixed points. In the sequel, we consider2.32.

Discriminant of2.32is given by Δ:

A2γ2

−4β1γ22

−α1β1

A2γ2

A2γ2

−α1α2β1

A2γ2

2

. 2.33 Real solutions of2.32exist if and only ifΔ≥0.The solutions are given by

y1

−A2γ2 −α1α2β1

A2γ2

−√ Δ 2γ2

A2γ2

,

y2

−A2γ2 −α1α2β1

A2γ2

√ Δ 2γ2

A2γ2

.

2.34

Using2.30, we have

x1

−α1α2β1

A2γ2 A2γ2

√ Δ

1γ2 ,

x2

−α1α2β1

A2γ2 A2γ2

−√ Δ

1γ2 .

2.35

Claim. AssumeΔ≥0.Then

ifor all values of parameters,y1<0;

iifor all values of parameters,x2<0.

Proof. 1Assume−α1α2β1 A2γ2>0.Then it is obvious that the claimy1<0 is true.

Now, assume−α1α2β1 A2γ2≤0.Theny1<0 if and only if Δ−

A2γ22

−α1α2β1

A2γ22

>0, 2.36

which is equivalent to

−4β1γ22 A2γ2

−α1β1

A2γ2

>0. 2.37

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This is true since

−α1β1

A2γ2

<

−α1α2β1

A2γ2

≤0. 2.38

2Assume−α1α2β1 A2γ2<0.Then it is obvious thatx2<0. Now, assume −α1α2β1

A2γ2

≥0. 2.39

Thenx2<0 if and only if Δ−

−α1α2β1

A2γ2

2 A2γ2

2

>0. 2.40

This is equivalent to 4β1γ2

A2γ2

A2

−α1α2A2β1

α2γ2β1γ22

>0. 2.41

Using2.39, we have

A2

−α1α2A2β1

α2γ2β1γ22

A2γ2β1α2γ2β1γ22α1γ2>0, 2.42 which implies that the inequality2.41is true.

Now, the proof of theLemma 2.2follows from theClaim 2.2.

Lemma 2.3. The mapT associated to System1.1satisfies the following:

T x, y

x, y

only for x, y

x, y

. 2.43

Proof. By using2.1, we have

T x, y

x, y

,

⇐⇒α1β1x

y α1β1x

y ,

α2γ2y

A2x α2γ2y A2x .

2.44

First equation implies α1

yy β1

xyxy

0. 2.45

Second equation implies

α2x−x γ2A2

yy γ2

xyyx

. 2.46

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Note the following

xyxy xxyx yy

. 2.47

Using2.47, Equations2.45and2.46, respectively, become β1yxx

α1β1x yy

0, α2γ2y

x−x γ2A2x yy

0. 2.48

Note that System 2.48 is linear homogeneous system in xx and yy. The determinant of System2.48is given by

β1y α1β1y α2γ2y γ2A2x

. 2.49

Using2.1, the determinant of System2.48becomes

β1y xy yA2x γ2A2x

yA2x

β1γ2xy

/0. 2.50

This implies that System2.48has only trivial solution, that is

xx, yy. 2.51

3. Linearized Stability Analysis

The Jacobian matrix of the mapT has the following form:

JT

⎜⎜

⎜⎜

β1

yα1β1x y2

α2γ2y A2x2

γ2 A2x

⎟⎟

⎟⎟

. 3.1

The value of the Jacobian matrix ofTat the equilibrium point is

JT x, y

⎜⎜

⎜⎜

β1

yx

y

y A2x

γ2 A2x

⎟⎟

⎟⎟

. 3.2

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The determinant of3.2is given by

det JT x, y

β1γ2xy

yA2x. 3.3

The trace of3.2is

Tr JT x, y

β1

y γ2

A2x. 3.4

The characteristic equation has the form

λ2λ β1

y γ2

A2x

β1γ2xy

yA2x 0. 3.5

Theorem 3.1. Assume thatA2 < γ2.Then there exists a unique positive equilibriumE1 which is a saddle point, and the following statements hold.

aIfβ1γ2A2< α1α2,thenλ1∈1,∞andλ2∈−1,0.

bIfβ1γ2A2> α1α2, β1A2 < α2 < β1γ2andα1β1γ2α2< β1γ2α2β1A2,then λ1∈1,∞andλ2∈0,1.

cIfβ1γ2A2> α1α2, α2> β1γ2andα1α2−β1γ2> β1γ2α2−β1A2,thenλ1∈1,∞ andλ2∈0,1.

dIfβ1γ2A2> α1α2, α2> β1γ2andα1α2−β1γ2< β1γ2α2−β1A2,thenλ1∈1,∞ andλ2∈−1,0.

Proof. The equilibrium is a saddle point if and only if the following conditions are satisfied:

Tr JT

x, y>1det JT

x, y, Tr2JT x, y

−4 det JT x, y

>0. 3.6

The first condition is equivalent to β1

y γ2

A2x >1 β1γ2xy

yA2x. 3.7

This implies the following:

β1A2x γ2y > yA2x β1γ2xy

⇐⇒A2x β1y

γ2 yβ1

>−xy

⇐⇒

yβ1

A2γ2x

< xy.

3.8

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Notice the following:

y1β1 α1α2β1

A2γ2

α1α2 β1A2γ22−4α1β1

A2γ2

−2

A2γ2β1

α1α2 β1

A2γ2

α1α2 β1

A2γ2

2

−4α1β1

A2γ2

−2 A2γ2

α1α2 β1

A2γ2

α1α2 β1

A2γ22−4α1β1

A2γ21

1

2

A2γ2 x2 β1

A2γ2.

3.9

That is,

y1β1 x2

β1

A2γ2. 3.10

Similarly, A2γ2x1A2γ2

α1α2 β1

A2γ2

α1α2 β1

A2γ22

−4α1β1

A2γ21

β1

A2γ2

−α1α2

α1α2 β1

A2γ2

2

−4α1β1

A2γ2

1

−β1

A2γ2

α1α2

α1α2 β1

A2γ22−4α1β1

A2γ2

−2β1

α1α2β1

A2γ2

α1α2 β1

A2γ22

−4α1β1

A2γ2

−2 A2γ2

A2γ2 β1

y2A2γ2 β1

.

3.11

Now, we have y1β1

A2γ2x1

< x1y1⇐⇒x2 β1

A2γ2y2A2γ2

β1 < x1y1. 3.12

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This is equivalent to

x2y2< x1y1. 3.13

The last condition is equivalent to x2y2x1y1<0⇐⇒ −

y2x1x2 x1

y1y2

<0 3.14

which is true sincex1 > x2andy1> y2. The second condition is equivalent to

β1 y γ2

A2x 2

−4 β1γ2

yA2x4 xy

yA2x >0. 3.15

This is equivalent to β1

yγ2 A2x

2

4 xy

yA2x >0, 3.16

establishing the proof ofTheorem 3.1.

Since the mapT is strongly competitive, the Jacobian matrix3.2has two real and distinct eigenvalues, with the larger one in absolute value being positive.

From3.5atE1,we have

λ1λ2 β1 y1 γ2

A2x1, λ1λ2 β1γ2x1y1

y1A2x1.

3.17

The first equation implies that either both eigenvalues are positive or the smaller one is negative.

Consider the numerator of the right-hand side of the second equation. We have

β1γ2x1y1β1γ2−−α1α2β1

A2γ2

D1

α1α2β1

A2γ2

D

−2 A2γ2

β1γ2

D α1α2β1

A2γ2

2

β1

γ2A2

−α1α2−√ D

2 ,

3.18

whereD α1α2 β1A2γ22−4α1β1A2γ2.

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aIfβ1γ2A2< α1α2,then the smaller root is negative, that is,λ2∈−1,0.

Ifβ1γ2A2>α1α2,then β1

γ2A2

−α1α2>D

⇐⇒β12γ2A22−2β1

γ2A2

α1α2 α1α22

>α1α221α1α2

A2γ2 β12

A2γ22−4α1β1

A2γ2

⇐⇒β1γ2

β1A2α2

α1

α2β1γ2

>0.

3.19

From the last inequality statementsb,canddfollow.

We now perform a similar analysis for the other cases inTable 1.

Theorem 3.2. Assume A2> γ2, β1

A2γ2

< α2α1,

α1α2 β1

A2γ22−4α1β1

A2γ2

>0. 3.20 ThenE1, E2exist.E1is a saddle point;E2is a sink. For the eigenvalues ofE1, λ1E1∈1,∞the following holds.

aIfβ1γ2< α2< β1A2,thenλ2∈0,1.

bIfα2> β1A2andα1α2β1γ2< β1γ2α2β1A2,thenλ2∈−1,0.

cIfα2< β1γ2andβ1γ2β1A2α2> α1β1γ2α2,thenλ2∈0,1.

Proof. Note that ifβ1A2α2 <0 andα2β1γ2 <0,thenα2> β1A2andα2< β1γ2,which implies A2< γ2, which is a contradiction.

The equilibrium is a sink if the following condition is satisfied:

Tr JT

x, y<1det JT

x, y<2. 3.21

The condition|Tr JTx, y|<|1det JTx, y|is equivalent to β1

y γ2

A2y <1 β1γ2

yA2xxy

yA2x. 3.22

This implies

β1A2x γ2y < yA2x β1γ2xy

⇐⇒A2x β1y

γ2

yβ1

<−xy

⇐⇒

yβ1

A2γ2x

> xy.

3.23

Now, we prove thatE2is a sink.

(16)

We have to prove that

y2β1

A2γ2x2

> x2y2. 3.24

Notice the following:

y2β1 α1α2β1

A2γ2

α1α2 β1

A2γ22−4α1β1

A2γ2

−2 A2γ2

β1

α1α2 β1

A2γ2

α1α2 β1

A2γ2

2

−4α1β1

A2γ2

−2

A2γ2

α1α2 β1

A2γ2

α1α2 β1

A2γ22−4α1β1

A2γ2 2

A2γ2

α1α2 β1

A2γ2

α1α2 β1

A2γ2

2

−4α1β1

A2γ2

2

A2γ2 β1

A2γ2 x1 β1

A2γ2

.

3.25

Similarly,

A2γ2x2A2γ2

α1α2 β1

A2γ2

α1α2 β1

A2γ22−4α1β1

A2γ21

α1α2β1

A2γ2

α1α2 β1

A2γ2

2

−4α1β1

A2γ2

−2β1

α1α2β1

A2γ2

α1α2 β1

A2γ22

−4α1β1

A2γ2

−2

A2γ2 A2γ2

β1 y1A2γ2

β1 .

3.26

Now, condition

y2β1

A2γ2x2

> x2y2 3.27

(17)

becomes

x1 β1

A2γ2

y1A2γ2

β1

> x2y2, 3.28

that is,

x1y1> x2y2, 3.29

which is true.seeTheorem 3.1.

Condition

1det JT

x, y<2 3.30

is equivalent to

β1γ2

yA2xxy

yA2x <1. 3.31

This implies

β1γ2xy < yA2x⇐⇒β1γ1yA2<2xy. 3.32

We have to prove that

β1γ2y2A2<2x2y2. 3.33

Using2.2, we have

β1γ2α1 x2 β1

A2<2x2 α1 x2 β1

. 3.34

This is equivalent to

β1

γ2A2

<12x2β1 α1A2

x2 , 3.35

which is always true sinceA2> γ2and the left side is always negative, while the right side is always positive.

(18)

Notice that conditions

x1y1> x2y2, β1

yγ2 A2x

2

4 xy

yA2x >0,

3.36

imply thatE1is a saddle point.

From3.5atE1,we have

λ1λ2 β1 y1 γ2

A2x1, λ1λ2 β1γ2x1y1

y1A2x1.

3.37

The first equation implies that either both eigenvalues are positive or the smaller one is negative.

Consider the numerator of the right-hand side of the second equation. We have

β1γ2x1y1β1γ2−−α1α2β1

A2γ2

D1

α1α2β1

A2γ2

D

−2

A2γ2 β1γ2

D α1α2β1

A2γ2 2

β1

γ2A2

−α1α2−√ D

2 .

3.38

We have

β1γ2xy >0⇐⇒β1

γ2A2

−α1α2−√ D

2 >0. 3.39

Inequality

β1

γ2A2

−α1α2−√

D >0 3.40

is equivalent to

β1γ2

β1A2α2 α1

α2β1γ2

>0, 3.41

which is obvious ifβ1γ2 < α2 < β1A2. Then inequality3.41holds. This confirmsa.The other cases follow from3.41.

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