linearize the system about the equilibria or critical points. Identify the critical points, e.g. saddle, node, center,…, but do not sketch.
\[\frac{ dx }{dt }=x-3y+2xy,\frac{ dy }{ dt }=4x-6y-xy\]
I think I can use the Jacobian matrix
hint: we can write the Taylor series of the functions at the right side, up to the first order in x and y
\[f(x)= f(x_{0})+f'(x_{0})(x-x_{0})+...\]
We have not had a full lecture on taylor series yet, I am not familiar with it
@Michele_Laino
we have functions in 2 variables, so you have to write the Taylor series for functions of 2 variables
I do not know how to do that.
I understand! Nevertheless the function: \[x - 3y + 2xy\] can be viewed as a function of 2 variables, namely: \[f\left( {x,y} \right) = x - 3y + 2xy\] and x=x(t), and y=y(t), similarly for the other function at the right side of the second differential equation
Okay.
\[g(x,y)=4x-6y-xy\]
?
ok!
now, you have to apply the formula which gives the Taylor series for a function in 2 variables
Consider the nonlinear system: \( \Large{ x ' = f(x,y) \\ y ' = g(x,y) } \) Near the critical points \( \large {(x_0,y_0) }\) satisfying \( \large{ f(x_0,y_0)=0 \\ g(x_0,y_0) =0 } \) we can approximate the non linear system by the linear system : $$\Large { \begin{pmatrix} x' \\ y' \\ \end{pmatrix} = \begin{pmatrix} \dfrac{\partial f}{\partial x}(x_o,y_o) & \dfrac{\partial f}{\partial y}(x_o,y_o) \\[1em] \dfrac{\partial g}{\partial x}(x_o,y_o) & \dfrac{\partial g}{\partial y}(x_o,y_o) \end{pmatrix} \begin{pmatrix} x \\ y \\ \end{pmatrix} } $$
We can then analyze these linear systems to conclude what we can about the behavior of solutions near the critical points.
we can use Michel's approach as well.
its up to you
I don't really know Michele's approach. I was trying to follow along with the Taylor series.
Can we try your approach?
ok i will continue
we will use the post above as a template
when I solved, I used the Jacobian matrix
and okay!
We are given \( \Large{ \frac{ dx }{dt }=x-3y+2xy,\\ \frac{ dy }{ dt }=4x-6y-xy } \) First task is to solve x' = 0 , y ' = 0 simultaneously
Solve the system: x - 3y +2xy = 0 4x - 6y -xy = 0 clearly x=0, y=0 is a solution
the other solution we can find by substitution
Using the second equation 4x - 6y -xy = 0 4x - xy = 6y x ( 4 -y ) = 6y x = 6y / (4-y) substitute this into the first equation for x
First equation: x - 3y +2xy = 0 substitute: 6y / (4-y) - 3y + 2 (6y / (4-y)) * y = 0
$$ \large { x - 3y +2xy = 0 \\ \therefore \\ \frac{6y}{4-y} - 3y + 2 \cdot \frac{6y}{4-y} \cdot y =0 \\ \therefore \\ \color{red}{(4-y )} \cdot \left( \frac{6y}{4-y} - 3y + 2 \cdot \frac{6y}{4-y} \cdot y \right)=0 \cdot \color{red}{(4-y )} \\ \therefore \\ 6y - 3y(4-y) + 2 \cdot 6y \cdot y =0 \\ \therefore \\ 15y^2-6y = 0 \\ \therefore \\ y(15y-6) = 0 \\ \therefore \\y = 0, ~~y = \frac{6}{15}= \frac 25 } $$
$$ \Large{ x' =f(x,y) = x-3y+2xy\\ y' =g(x,y) = 4x-6y-xy \\~\\ \begin{pmatrix} f_x & f_y\\ g_x & g_y \\ \end{pmatrix} = \begin{pmatrix} 1+2y & -3 + 2x\\ 4-y & -6 - x \\ \end{pmatrix} } $$
now plug in the critical points
\[\left[\begin{matrix}1 & -3 \\ 4 & -6\end{matrix}\right]\]
thats for 0,0
\[\left[\begin{matrix}1.8 & -3+2x \\ 3.6 & -6-x\end{matrix}\right]\]
thats for (x, 2/5)
actually the two critical points are (0,0) and (2/3, 2/5)
\[\left[\begin{matrix}1.8 & -1 \\ 3.6& -6.667\end{matrix}\right]\]
\[\left[\begin{matrix}1 & -3 \\ 3.6 & -6.667\end{matrix}\right]\]
disregard the 1st one
\[\left[\begin{matrix}1 & -3 \\ 4 & -6\end{matrix}\right]\]
$$ \Large{ x' =f(x,y) = x-3y+2xy\\ y' =g(x,y) = 4x-6y-xy \\~\\ \begin{pmatrix} f_x & f_y\\ g_x & g_y \\ \end{pmatrix} = \begin{pmatrix} 1+2y & -3 + 2x\\ 4-y & -6 - x \\ \end{pmatrix} \\~\\ \text{The jacobian matrix associated with (0,0) is :} \\~\\ \begin{pmatrix} 1+2(0) & -3 + 2(0)\\ 4-0 & -6 - 0 \end{pmatrix} = \begin{pmatrix} 1 & -3\\ 4 & -6 \end{pmatrix} \\~\\ \text{The jacobian matrix associated with (2/3, 2/5) is :} \\~\\ \begin{pmatrix} 1+2(\frac25) & -3 + 2(\frac23)\\ 4-\frac25 & -6 - \frac23 \end{pmatrix} =\begin{pmatrix} \frac9 5 & -\frac 53\\ \frac{18}{5} & -\frac{20}{3} \end{pmatrix} } $$
\[\left[\begin{matrix}1.8 & -1.667\\ 3.6& -6.667\end{matrix}\right]\]
now we can use these matrices to make linear equations
ex?
x'=(9/5)x-(5/3)y y'=(18/5)x-(20/3)y
$$ \Large{ \text{ near (0,0)}\\ \begin{pmatrix} x' \\ y' \end{pmatrix} =\begin{pmatrix} 1 & -3\\ 4 & -6 \end{pmatrix} \begin{pmatrix} x \\ y \end{pmatrix} \iff \begin{cases} x' = 1x -3y \\ y' = 4x - 6y \end{cases} \\ ~~\\~~\\ \\ \text{near (2/3, 2/5) } \\ \begin{pmatrix} x' \\ y' \end{pmatrix}=\begin{pmatrix} \frac9 5 & -\frac 53\\ \frac{18}{5} & -\frac{20}{3} \end{pmatrix} \begin{pmatrix} x \\ y \end{pmatrix} \iff \large \begin{cases} x' = \frac95x -\frac53y \\ y' = \frac{18}{5}x - \frac{20}{3}y \end{cases} } $$
Ok, so now I have to identify the critical points?
well now we can look at the eigenvalues
Cases: Sources or Repellers: both eigenvalues have positive real part. Sinks or Attractors: both eigenvalues have negative real part. Saddles: one eigenvalues is positive and the other negative.
for (0,0) --> sink ?
we know the critical points are (0,0) and (2/3, 2/5)
one moment, calculating eigen values
for the first matrix associated with (0,0) i get eigen values -2, -3
thats what I got
so thats a sink :)
yay!
for the next matrix, i got eigenvalues Lambda = 1.019362877,-5.886029543
Exactly: -73/30+1/30 sqrt(10729)],-73/30-1/30 sqrt(10729) This implies the critical point is a saddle
thank you
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