Verification of argument for global asymptotic stability of equilibrium point

In summary: In this case, we choose $\alpha(x,y)=\frac{1}{xy}$. Plugging this into the equation, we get $\frac{\partial}{\partial x}(\alpha f) + \frac{\partial}{\partial y}(\alpha g)=\frac{-a}{x^2y}$, which does not change sign on any interval since $a$ is constant. This means that we have ruled out the possibility of a periodic trajectory.Finally, we need to rule out the possibility that the $\omega$-limit set of some trajectory contains $E_1$. This can be done by showing that $E_1$ is a saddle node, which
  • #1
kalish1
99
0
I am working on proving that an equilibrium point of a two-dimensional dynamical system is globally asymptotically stable. The background and justifications are below. I have gotten to the final steps (in bold), but cannot justify it. It seems right intuitively. Can someone navigate the argument and help me out?----------Let a two-dimensional dynamical system be described as follows:
\begin{align*}
x'=f(x,y)&= a-b\frac{xy}{x+y}-c x \\
y'=g(x,y)&=b\frac{xy}{x+y}-(c+d)y,
\end{align*}

where $a,b,c,d,x,y > 0, \frac{b}{c+d}>1,$ and $N(t) = x(t)+y(t).$

Let $E_1$ denote the equilibrium point of the system when $y=0.$ Then $E_1 = (\frac{a}{c},0).$

Let $E_2$ denote the equilibrium point of the whole system. Then $E_2 = \left(\frac{a}{b-d},\frac{a}{b-d}\left(\frac{b}{c+d}-1\right)\right).$ Note that $E_2$ exists if $\frac{b}{c+d}>1.$

Since
\begin{align*}
\dfrac{dN}{dt} &= a-cx-(c+d)y=a-cN-dy \leq a-cN,
\end{align*}
if $N > a/c,$ then $dN/dt<0.$ Since $dN/dt$ is bounded by $a-cN,$ a standard comparison theorem can be used to show that $N(t) \leq N(0)e^{-ct} + \frac{a}{c}(1-e^{-ct}).$ In particular, $N(0) \leq \frac{a}{c} \Rightarrow N(t) \leq \frac{a}{c}.$ Also, every solution of the system with initial conditions in $\mathscr{D} = \{(x,y) \in \mathbb{R}^{2}_{+}: N \leq a/c\}$ remains there for $t>0$. The $\omega$-limit sets of the system are contained in $\mathscr{D}$. Thus, $\mathscr{D}$ is positively invariant and attracting. Hence the trajectories of the system are bounded.

Now, given the local asymptotic stability of $E_2$ (verified in Maple by establishing the negativity of the eigenvalues of the Jacobian linearization of the system at $E_2$) and the boundedness of trajectories of the system, we can apply the Poincare-Bendixson theorem.

To show that $E_2$ is stable, we must rule out the possibility of a
periodic trajectory or a trajectory whose $\omega$-limit set contains $E_1.$ Using the Bendixson-Dulac criterion, we can rule out a periodic orbit if we can find a function, $\alpha(x,y),$ such that $\frac{\partial}{\partial x}(\alpha f)+ \frac{\partial}{\partial y}(\alpha g)$ does not change sign and is not identically zero on any open set of the $x-y$ plane. If we choose $\alpha(x,y)=\frac{1}{xy},$ then $\frac{\partial}{\partial x}(\alpha f)+ \frac{\partial}{\partial y}(\alpha g) = \frac{-a}{x^2y},$ which does not
change sign on any interval since $a$ is constant. Therefore, we have ruled out
the possibility of a periodic trajectory. Note that $E_1$ is a saddle node because the condition $\frac{b}{c+d}>1$ implies that one of the eigenvalues of the Jacobian linearization of the system at $E_1$, obtained by Maple, is positive.

We can rule out the possibility that the $\omega$-limit set of some trajectory contains $E_1$, because...

Hence, $E_2$ is globally asymptotically stable if $\frac{b}{c+d}>1.$


----------Thanks in advance!

This question has been crossposted here: http://math.stackexchange.com/questions/1242755/verification-of-argument-for-global-asymptotic-stability-of-equilibrium-point
 
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  • #2
-in-2d-dynamical-systemSure, I can help you out with the argument. Let's break it down and go through it step by step.

First, we have the system described by the equations $x'=f(x,y)$ and $y'=g(x,y)$. The equilibrium point $E_1$ is the point where $y=0$, which is given by $E_1=(\frac{a}{c},0)$. This is a valid equilibrium point as it satisfies both equations of the system.

Next, we have the equilibrium point $E_2$, which is the point where both equations of the system are equal to 0. This point exists if $\frac{b}{c+d}>1$ and is given by $E_2=(\frac{a}{b-d},\frac{a}{b-d}(\frac{b}{c+d}-1))$. This can be verified by plugging in the values of $E_2$ into the system equations and showing that they both equal 0.

Now, we want to show that $E_2$ is globally asymptotically stable. To do this, we need to show that the trajectories of the system are bounded and that there are no periodic trajectories or trajectories whose $\omega$-limit set contains $E_1$.

To show that the trajectories are bounded, we use the fact that $\frac{dN}{dt}=a-cN-dy$. Since $dN/dt$ is bounded by $a-cN$, we can use a standard comparison theorem to show that $N(t) \leq N(0)e^{-ct} + \frac{a}{c}(1-e^{-ct})$. This means that $N(t)$ is always less than or equal to a certain value, which we can call $M=\frac{a}{c}$. This shows that the trajectories are bounded.

Next, we need to rule out the possibility of a periodic trajectory or a trajectory whose $\omega$-limit set contains $E_1$. To do this, we use the Bendixson-Dulac criterion. This criterion states that if we can find a function $\alpha(x,y)$ such that $\frac{\partial}{\partial x}(\alpha f) + \frac{\partial}{\partial y}(\alpha g)$ does not change sign and is not identically zero on any open set, then
 

1. What is the concept of global asymptotic stability?

Global asymptotic stability refers to the property of a dynamical system in which all trajectories starting near a certain equilibrium point converge to that point as time goes to infinity. This means that the system is stable over a large range of initial conditions and will eventually settle at the equilibrium point regardless of the initial state.

2. Why is verifying the argument for global asymptotic stability important?

Verifying the argument for global asymptotic stability is important because it provides mathematical proof that a system is stable. This is crucial for understanding the behavior of the system and making predictions about its long-term behavior. It also allows for the design of control strategies to maintain stability.

3. What is an equilibrium point in a dynamical system?

An equilibrium point, also known as a steady state, is a state in which the system has no net change over time. This means that the system is at rest and all forces and inputs are balanced. In a dynamical system, this point is represented by a fixed point in the phase space.

4. How is the argument for global asymptotic stability verified?

The argument for global asymptotic stability is verified using mathematical techniques such as Lyapunov's direct method or LaSalle's invariance principle. These methods involve proving that the system satisfies certain conditions, such as the Lyapunov stability condition, which ensure that all trajectories converge to the equilibrium point.

5. Can the argument for global asymptotic stability be applied to any dynamical system?

No, the argument for global asymptotic stability can only be applied to certain types of dynamical systems, such as nonlinear systems with continuous dynamics. Additionally, the system must have a unique equilibrium point for this argument to be applicable. In some cases, numerical simulations may be necessary to verify global asymptotic stability.

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