Initial Value Problem for a System of Linear Differential Equations

In summary, we discussed an initial value problem with a set of coupled equations. By substituting $X=BY$, we decoupled the equations and were able to solve them separately. After solving for $Y$, we substituted it back into the original equation to get the solution for $X$. However, there was an error in the calculation of the diagonal matrix $D$ which resulted in incorrect values for $Y$. After correcting the error, we were able to obtain the correct solution for $X$ as a function of $t$.
  • #1
mathmari
Gold Member
MHB
5,049
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Hey! :eek:

We have the following initial value problem:

$$x' = \frac{1}{2}(45 − x) + \frac{1}{4}(y − x) \\
y' = \frac{1}{4}(x − y) + \frac{1}{2}(35 − y) + \frac{1}{2}(z − y) + 20 \\
z' = \frac{1}{2}(y − z) + \frac{1}{2}(35 − z)$$

This can be written as follows:

$$\begin{pmatrix}
x\\
y\\
z
\end{pmatrix}'=\begin{pmatrix}
-\frac{3}{4} & \frac{1}{4} & 0 \\
\frac{1}{4} & -\frac{5}{4} & \frac{1}{2} \\
0 & \frac{1}{2} & -1
\end{pmatrix}\begin{pmatrix}
x\\
y\\
z
\end{pmatrix}+\begin{pmatrix}
\frac{45}{2}\\
\frac{75}{2}\\
\frac{35}{2}
\end{pmatrix}$$

right?? (Wondering)

To solve this problem do we have to solve first the homogengeous part and then the inhomogeneous one?? (Wondering)
 
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  • #2
Hi! (Blush)

I think it's best to first diagonalize the matrix. (Thinking)
 
  • #3
Hmm, I think the bottom right entry in your matrix is not correct. (Worried)

Anyway, we can write your set of equations:
$$X'=AX+C \tag 1$$
as:
$$X' = BDB^{-1}X+C \tag 2$$
where $D$ is a diagonal matrix (or a Jordan normal form).

When we substitute:
$$X=BY \tag 3$$
we'll get a set of decoupled linear inhomogeneous differential equations. (Thinking)
 
  • #4
I like Serena said:
Hmm, I think the bottom right entry in your matrix is not correct. (Worried)

I edited my initial post... I wrote a wrong coefficient at the last equation.
I like Serena said:
Anyway, we can write your set of equations:
$$X'=AX+C \tag 1$$
as:
$$X' = BDB^{-1}X+C \tag 2$$
where $D$ is a diagonal matrix (or a Jordan normal form).

I found the following:

$$D=\begin{pmatrix}
-1.683 & 0 & 0 \\
0 & -0.817 & 0 \\
0 & 0 & -0.5
\end{pmatrix}$$

$$B=\begin{pmatrix}
-0.2113 & -0.7887 & -0.5774 \\
0.7887 & 0.2113 & -0.5774 \\
-0.5774 & 0.5774 & -0.5774
\end{pmatrix}$$

$$B^{-1}=\begin{pmatrix}
-0.2113 & 0.7887 & -0.5774 \\
-0.7887 & 0.2113 & 0.5774 \\
-0.5774 & -0.5774 & -0.5774
\end{pmatrix}$$
I like Serena said:
When we substitute:
$$X=BY \tag 3$$
we'll get a set of decoupled linear inhomogeneous differential equations. (Thinking)

What is $Y$ ?? (Wondering)
 
  • #5
mathmari said:
$$D=\begin{pmatrix}
-1.683 & 0 & 0 \\
0 & -0.817 & 0 \\
0 & 0 & -0.5
\end{pmatrix}$$

$$B=\begin{pmatrix}
-0.2113 & -0.7887 & -0.5774 \\
0.7887 & 0.2113 & -0.5774 \\
-0.5774 & 0.5774 & -0.5774
\end{pmatrix}$$

$$B^{-1}=\begin{pmatrix}
-0.2113 & 0.7887 & -0.5774 \\
-0.7887 & 0.2113 & 0.5774 \\
-0.5774 & -0.5774 & -0.5774
\end{pmatrix}$$

Good! (Happy)


What is $Y$ ?? (Wondering)

An arbitrary vector of 3 variables.
Let's say:
$$Y=\begin{pmatrix}y_1\\y_2\\y_3\end{pmatrix}$$

And $Y'$ is its derivative:
$$Y'=\begin{pmatrix}y_1'\\y_2'\\y_3'\end{pmatrix}$$
(Wasntme)
 
  • #6
I like Serena said:
An arbitrary vector of 3 variables.
Let's say:
$$Y=\begin{pmatrix}y_1\\y_2\\y_3\end{pmatrix}$$

And $Y'$ is its derivative:
$$Y'=\begin{pmatrix}y_1'\\y_2'\\y_3'\end{pmatrix}$$
(Wasntme)

I haven't understood why we should do this substitution... (Wondering)
 
  • #7
mathmari said:
I haven't understood why we should do this substitution... (Wondering)

To decouple the differential equations.

In your problem you have 3 coupled equations, meaning each equation contains a combination of $x,y,z$.
As such we cannot solve it.

After the substitution, we will have 3 equations that are decoupled, meaning that e.g. the first equation will contain only $y_1$ and $y_1'$.
Now we can solve each equation independent from the others. (Wasntme)
 
  • #8
I like Serena said:
To decouple the differential equations.

In your problem you have 3 coupled equations, meaning each equation contains a combination of $x,y,z$.
As such we cannot solve it.

After the substitution, we will have 3 equations that are decoupled, meaning that e.g. the first equation will contain only $y_1$ and $y_1'$.
Now we can solve each equation independent from the others. (Wasntme)

We get the following:

$$X'=AX+C \Rightarrow X'=BDB^{-1}+C$$

We set $X=BY$ and we get $$BY'=BDB^{-1}BY+C \Rightarrow BY'=BDY+C \Rightarrow B^{-1}BY'=B^{-1}DY+B^{-1}C \Rightarrow Y'=Y+B^{-1}C$$

right?? (Wondering)

So, we have to solve the following problems:

$$y_1'=y_1+14.7169 \\ y_2'=y_2+0.2831 \\ y_3'=y_3-44.7446$$

The solutions are the following:

$$y_1=c_1e^t-14.7169 \ \ , \ \ y_2=c_2e^y-0.2831 \ \ , \ \ y_3=c_3e^t+44.7466$$

Now we solve for $x, y, z$ by replacing $Y$ at $X=BY$, right?? (Wondering)
 
  • #9
Having the initial values $$X(0)=\begin{pmatrix}
45\\
35\\
35
\end{pmatrix}$$ we get the following inital values for $Y$ $$Y(0)=\begin{pmatrix}
14.7169\\
0.2831\\
-44.7446
\end{pmatrix}$$

So, we have the folowing solutions $$y_1=29.4338e^t-14.7169 \ \ , \ \ y_2=0.5662e^t-0.2831 \ \ , \ \ y_3=-89.4892e^t+44.7446$$

Therefore, the solution of the initial problem is the following:

$$X=BY=\begin{pmatrix}
-0.2113 & -0.7887 & -0.5774 \\
0.7887 & 0.2113 & -0.5774 \\
-0.5774 & 0.5774 & -0.5774
\end{pmatrix} \begin{pmatrix}
29.4338e^t-14.7169\\
0.5662e^t-0.2831\\
-89.4892e^t+44.7446
\end{pmatrix} \Rightarrow X=\begin{pmatrix}
45.0051e^t-22.5026\\
75.0051e^t-37.5026\\
35.0029e^t-17.5015
\end{pmatrix}
$$

Is this correct?? (Wondering)
 
  • #10
mathmari said:
We get the following:

$$X'=AX+C \Rightarrow X'=BDB^{-1}+C$$

We set $X=BY$ and we get $$BY'=BDB^{-1}BY+C \Rightarrow BY'=BDY+C \Rightarrow B^{-1}BY'=B^{-1}DY+B^{-1}C \Rightarrow Y'=Y+B^{-1}C$$

right?? (Wondering)

Hold on! (Wait)
I think we have lost the diagonal matrix $D$. (Worried)
mathmari said:
Therefore, the solution of the initial problem is the following:

$$X=BY=\begin{pmatrix}
-0.2113 & -0.7887 & -0.5774 \\
0.7887 & 0.2113 & -0.5774 \\
-0.5774 & 0.5774 & -0.5774
\end{pmatrix} \begin{pmatrix}
29.4338e^t-14.7169\\
0.5662e^t-0.2831\\
-89.4892e^t+44.7446
\end{pmatrix} \Rightarrow X=\begin{pmatrix}
45.0051e^t-22.5026\\
75.0051e^t-37.5026\\
35.0029e^t-17.5015
\end{pmatrix}
$$

Is this correct?? (Wondering)

When I substitute it in the first equation, it doesn't fit. (Doh)

It does look weird that $e^t$ wouldn't have a coefficient in its power. (Wasntme)
 
  • #11
I tried it again...

We get the following:

$$X'=AX+C \Rightarrow X'=BDB^{-1}+C$$

We set $X=BY$ and we get $$BY'=BDB^{-1}BY+C \\ \Rightarrow BY'=BDY+C \\ \Rightarrow B^{-1}BY'=B^{-1}BDY+B^{-1}C \\ \Rightarrow Y'=DY+B^{-1}C$$

So, we have to solve the following problems:

$$y_1'=-1.683y_1+14.7169 \\ y_2'=-0.817y_2+0.2831 \\ y_3'=-0.5y_3-44.7446$$

The solutions are the following:

$$y_1=c_1e^{-1.683t}+8.74444 \ \ , \ \ y_2=c_2e^{-0.817t}+0.346512 \ \ , \ \ y_3=c_3e^{-0.5t}-89.4892$$

The initial values are $$Y(0)=B^{-1}X(0)=\begin{pmatrix}
-2.1132\\
-7.8868\\
-66.3953
\end{pmatrix}$$

So, we get the following solution:

$$Y=\begin{pmatrix}
-10.8576e^{-1.683t}+8.74444\\
-8.23331e^{-0.817t}+0.346512\\
23.0939e^{-0.5t}-89.4892
\end{pmatrix}$$

So, the solution of the initial problem is $$X=BY=\begin{pmatrix}
-0.2113 & -0.7887 & -0.5774 \\
0.7887 & 0.2113 & -0.5774 \\
-0.5774 & 0.5774 & -0.5774
\end{pmatrix} \begin{pmatrix}
-10.8576e^{-1.683t}+8.74444\\
-8.23331e^{-0.817t}+0.346512\\
23.0939e^{-0.5t}-89.4892
\end{pmatrix} = \begin{pmatrix}
49.5501+2.29421 e^{-1.683 t}+6.49361 e^{-0.817 t}-13.3344 e^{-0.5 t}\\
58.641-8.56339 e^{-1.683 t}-1.7397 e^{-0.817 t}-13.3344 e^{-0.5 t}\\
46.8221+6.26918 e^{-1.683 t}-4.75391 e^{-0.817 t}-13.3344 e^{-0.5 t}
\end{pmatrix}$$

Is this correct?? (Wondering)
 
  • #12
It looks correct, which is good! (Nod)

But at my first attempt to substitute the solution in the original set of equations, I found a mismatch, so there may be a mistake somewhere. (Worried)

What do you get if you substitute the solution in the original set of equations? (Wondering)
 
  • #13
$$\begin{pmatrix}
x\\
y\\
z
\end{pmatrix}'=\begin{pmatrix}
-\frac{3}{4} & \frac{1}{4} & 0 \\
\frac{1}{4} & -\frac{5}{4} & \frac{1}{2} \\
0 & \frac{1}{2} & -1
\end{pmatrix}\begin{pmatrix}
x\\
y\\
z
\end{pmatrix}+\begin{pmatrix}
\frac{45}{2}\\
\frac{75}{2}\\
\frac{35}{2}
\end{pmatrix}
$$

So, it is of the form $X'=AX+C$.

The eigenvalues of the matrix $A$ are $-\frac{1}{2}, -\frac{5}{4}-\frac{\sqrt{3}}{4}, \frac{\sqrt{3}}{4}-\frac{5}{4}$.

We want to write the matrix $A$ in the form $BDB^{-1}$.

The diagonal matrix $D$ is the following:

$$D=\begin{pmatrix}
-\frac{1}{2} & 0 & 0 \\
0 & -\frac{5}{4}-\frac{\sqrt{3}}{4} & 0 \\
0 & 0 & \frac{\sqrt{3}}{4}-\frac{5}{4}
\end{pmatrix}$$

Then using the eigenvectors we get the following matrix $B$:

$$B=\begin{pmatrix}
1 & 1 & 1 \\
1 & -2-\sqrt{3} & -2+\sqrt{3} \\
1 & 1+\sqrt{3} & 1-\sqrt{3}
\end{pmatrix}$$

of which the inverse is the following:

$$B^{-1}=\begin{pmatrix}
\frac{1}{3} & \frac{1}{3} & \frac{1}{3} \\
-\frac{\sqrt{3}}{6}+\frac{1}{3} & -\frac{1}{6} & \frac{\sqrt{3}-1}{6} \\
\frac{\sqrt{3}}{6}+\frac{1}{3} & -\frac{1}{6} & \frac{-\sqrt{3}-1}{6}
\end{pmatrix}
$$

So, we have the following:

$$X'AX+C \Rightarrow X'=BDB^{-1}X+C$$

Setting $X=BY$ we get the following:

$$BY'=BDB^{-1}BY+C \Rightarrow BY'=BDY+C \Rightarrow B^{-1}BY'=B^{-1}BDY+B^{-1}C \\ \Rightarrow Y'=DY+B^{-1}C$$

where $$B^{-1}C=\begin{pmatrix}
\frac{155}{6}-\frac{10}{3}\sqrt{3}\\
-\frac{5}{3}\\
-\frac{5}{3}+\frac{55}{6}\sqrt{3}
\end{pmatrix}$$

So, we have to solve the following equations:

$$y_1'=-\frac{1}{2}y_1+\frac{155}{6}-\frac{10}{3}\sqrt{3} \\ y_2'=\left (-\frac{5}{4}-\frac{\sqrt{3}}{4}\right )y_2-\frac{5}{3} \\ y_3'=\left (\frac{\sqrt{3}}{4}-\frac{5}{4}\right )y_3-\frac{5}{3}+\frac{55}{6}\sqrt{3}$$

with the initial values $$Y(0)=B^{-1}X(0)=\begin{pmatrix}
\frac{1}{3} & \frac{1}{3} & \frac{1}{3} \\
-\frac{\sqrt{3}}{6}+\frac{1}{3} & -\frac{1}{6} & \frac{\sqrt{3}-1}{6} \\
\frac{\sqrt{3}}{6}+\frac{1}{3} & -\frac{1}{6} & \frac{-\sqrt{3}-1}{6}
\end{pmatrix}\begin{pmatrix}
45\\
35\\
35
\end{pmatrix}=\begin{pmatrix}
\frac{115}{3}\\
\frac{10-5\sqrt{3}}{3}\\
\frac{10+5\sqrt{3}}{3}
\end{pmatrix}$$

The solutions are the following:

$$y_1=\frac{5}{3} (31-4 \sqrt{3}+4 (-2+\sqrt{3}) e^{-\frac{t}{2}}) \\ y_2=-\frac{5 e^{-\frac{1}{4} (5+\sqrt{3}) t} (-11+3 \sqrt{3})+20}{3 (5+\sqrt{3})} \\ y_3= \frac{5 (4-22 \sqrt{3}+(-11+19 \sqrt{3}) e^{\frac{1}{4} (-5+\sqrt{3}) t})}{3 (-5+\sqrt{3})}$$

So, the solution of the initial problem is $$\begin{pmatrix}
1 & 1 & 1 \\
1 & -2-\sqrt{3} & -2+\sqrt{3} \\
1 & 1+\sqrt{3} & 1-\sqrt{3}
\end{pmatrix} \begin{pmatrix}
\frac{5}{3} (31-4 \sqrt{3}+4 (-2+\sqrt{3}) e^{-\frac{t}{2}}) \\ -\frac{5 e^{-\frac{1}{4} (5+\sqrt{3}) t} (-11+3 \sqrt{3})+20}{3 (5+\sqrt{3})} \\ \frac{5 (4-22 \sqrt{3}+(-11+19 \sqrt{3}) e^{\frac{1}{4} (-5+\sqrt{3}) t})}{3 (-5+\sqrt{3})}
\end{pmatrix}=\begin{pmatrix}
\frac{590}{11}+\frac{5}{\sqrt{3}}+\frac{20}{3}(-2+\sqrt{3})e^{-\frac{t}{2}}-\frac{5(-11+3\sqrt{3})}{3(5+\sqrt{3})}e^{-\frac{(5+\sqrt{3})t}{4}}+\frac{5(-11+19\sqrt{3})}{3(-5+\sqrt{3})}e^{\frac{(-5+\sqrt{3})t}{4}}\\
\frac{780}{11}-\frac{55}{\sqrt{3}}+\frac{20}{3}(-2+\sqrt{3})e^{-\frac{t}{2}}+\frac{(2+\sqrt{3})5(-11+3\sqrt{3})}{3(5+\sqrt{3})}e^{-\frac{(5+\sqrt{3})t}{4}}+\frac{5(-11+19\sqrt{3})(-2+\sqrt{3})}{3(-5+\sqrt{3})}e^{\frac{(-5+\sqrt{3})t}{4}}\\
\frac{335}{11}-\frac{10}{\sqrt{3}}+\frac{20}{3}(-2+\sqrt{3})e^{-\frac{t}{2}}-\frac{(-1+\sqrt{3})5(-11+3\sqrt{3})}{3(5+\sqrt{3})}e^{-\frac{(5+\sqrt{3})t}{4}}+\frac{5(-11+19\sqrt{3})(1-\sqrt{3})}{3(-5+\sqrt{3})}e^{\frac{(-5+\sqrt{3})t}{4}}
\end{pmatrix}$$

Is this correct?? (Wondering)
 
  • #14
mathmari said:
So, the solution of the initial problem is $$\begin{pmatrix}
1 & 1 & 1 \\
1 & -2-\sqrt{3} & -2+\sqrt{3} \\
1 & 1+\sqrt{3} & 1-\sqrt{3}
\end{pmatrix} \begin{pmatrix}
\frac{5}{3} (31-4 \sqrt{3}+4 (-2+\sqrt{3}) e^{-\frac{t}{2}}) \\ -\frac{5 e^{-\frac{1}{4} (5+\sqrt{3}) t} (-11+3 \sqrt{3})+20}{3 (5+\sqrt{3})} \\ \frac{5 (4-22 \sqrt{3}+(-11+19 \sqrt{3}) e^{\frac{1}{4} (-5+\sqrt{3}) t})}{3 (-5+\sqrt{3})}
\end{pmatrix}=\begin{pmatrix}
\frac{590}{11}+\frac{5}{\sqrt{3}}+\frac{20}{3}(-2+\sqrt{3})e^{-\frac{t}{2}}-\frac{5(-11+3\sqrt{3})}{3(5+\sqrt{3})}e^{-\frac{(5+\sqrt{3})t}{4}}+\frac{5(-11+19\sqrt{3})}{3(-5+\sqrt{3})}e^{\frac{(-5+\sqrt{3})t}{4}}\\
\frac{780}{11}-\frac{55}{\sqrt{3}}+\frac{20}{3}(-2+\sqrt{3})e^{-\frac{t}{2}}+\frac{(2+\sqrt{3})5(-11+3\sqrt{3})}{3(5+\sqrt{3})}e^{-\frac{(5+\sqrt{3})t}{4}}+\frac{5(-11+19\sqrt{3})(-2+\sqrt{3})}{3(-5+\sqrt{3})}e^{\frac{(-5+\sqrt{3})t}{4}}\\
\frac{335}{11}-\frac{10}{\sqrt{3}}+\frac{20}{3}(-2+\sqrt{3})e^{-\frac{t}{2}}-\frac{(-1+\sqrt{3})5(-11+3\sqrt{3})}{3(5+\sqrt{3})}e^{-\frac{(5+\sqrt{3})t}{4}}+\frac{5(-11+19\sqrt{3})(1-\sqrt{3})}{3(-5+\sqrt{3})}e^{\frac{(-5+\sqrt{3})t}{4}}
\end{pmatrix}$$

Impressive! (Bow) (Bow)

Is this correct?? (Wondering)

Did you substitute it in the original set of equations? (Wondering)
 
  • #15
I think it is wrong again... (Sadface)

I try it again... (Wait)
 
  • #16
$$A=\begin{pmatrix}
-\frac{3}{4} & \frac{1}{4} & 0 \\
\frac{1}{4} & -\frac{5}{4} & \frac{1}{2} \\
0 & \frac{1}{2} & -1
\end{pmatrix}$$

The eigenvalues of the matrix $A$ are $-\frac{1}{2}, -\frac{5}{4}-\frac{\sqrt{3}}{4}, \frac{\sqrt{3}}{4}-\frac{5}{4}$, right?? (Wondering)

To find the eigenvector for the eigenvalue $-\frac{1}{2}$ we do the following:

$$\begin{pmatrix}
-\frac{3}{4}-\left (-\frac{1}{2}\right ) & \frac{1}{4} & 0 \\
\frac{1}{4} & -\frac{5}{4}-\left (-\frac{1}{2}\right ) & \frac{1}{2} \\
0 & \frac{1}{2} & -1 -\left (-\frac{1}{2}\right )
\end{pmatrix}\begin{pmatrix}x\\y\\z\end{pmatrix} =\begin{pmatrix}0\\0\\0\end{pmatrix} \\ \Rightarrow \begin{pmatrix}
-\frac{1}{4} & \frac{1}{4} & 0 \\
\frac{1}{4} & -\frac{3}{4} & \frac{1}{2} \\
0 & \frac{1}{2} & -\frac{1}{2}
\end{pmatrix}\begin{pmatrix}x\\y\\z\end{pmatrix} =\begin{pmatrix}0\\0\\0\end{pmatrix} \\ \Rightarrow x=y=z$$

Doesn't this mean that we can take the vector $\begin{pmatrix}1\\1\\1\end{pmatrix}$ ?? (Wondering)

I checked it in Matlab and for the eigenvalue $-\frac{1}{2}$ the corresponding eigenvector is $\begin{pmatrix}-0.5774\\-0.5774\\-0.5774\end{pmatrix}$.

How do we find this one?? (Wondering)
 
  • #17
mathmari said:
The eigenvalues of the matrix $A$ are $-\frac{1}{2}, -\frac{5}{4}-\frac{\sqrt{3}}{4}, \frac{\sqrt{3}}{4}-\frac{5}{4}$, right?? (Wondering)

I'm certain about the $-\frac{1}{2}$. The approximate values you had previously were also correct. (Nod)
Doesn't this mean that we can take the vector $\begin{pmatrix}1\\1\\1\end{pmatrix}$ ?? (Wondering)

I checked it in Matlab and for the eigenvalue $-\frac{1}{2}$ the corresponding eigenvector is $\begin{pmatrix}-0.5774\\-0.5774\\-0.5774\end{pmatrix}$.

How do we find this one?? (Wondering)

It's the same eigenvector.
Only the direction is relevant, the length is arbitrary.
Note that if $Av=\lambda v$, we will also have $A(2v) = \lambda (2v)$. (Wasntme)
 
  • #18
To find the eigenvector for the eigenvalue $-\frac{5}{4}-\frac{\sqrt{3}}{4}$ we do the following:

$$\begin{pmatrix}
-\frac{3}{4}-\left (-\frac{5}{4}-\frac{\sqrt{3}}{4}\right ) & \frac{1}{4} & 0 \\
\frac{1}{4} & -\frac{5}{4}-\left (-\frac{5}{4}-\frac{\sqrt{3}}{4}\right ) & \frac{1}{2} \\
0 & \frac{1}{2} & -1 -\left (-\frac{5}{4}-\frac{\sqrt{3}}{4}\right )
\end{pmatrix}\begin{pmatrix}x\\y\\z\end{pmatrix} =\begin{pmatrix}0\\0\\0\end{pmatrix} \\ \Rightarrow \begin{pmatrix}
\frac{1}{2}+\frac{\sqrt{3}}{4} & \frac{1}{4} & 0 \\
\frac{1}{4} & \frac{\sqrt{3}}{4} & \frac{1}{2} \\
0 & \frac{1}{2} & \frac{1}{4}+\frac{\sqrt{3}}{4}
\end{pmatrix}\begin{pmatrix}x\\y\\z\end{pmatrix} =\begin{pmatrix}0\\0\\0\end{pmatrix} \\ \Rightarrow y=-(2+\sqrt{3})x\ \ ,\ \ z=\frac{2(2+\sqrt{3})}{1+\sqrt{3}}x$$

So, we take the vector $$\begin{pmatrix} 1\\-(2+\sqrt{3})\\\frac{2(2+\sqrt{3})}{1+\sqrt{3}}\end{pmatrix}$$ right??

In Matlab the result is $$\begin{pmatrix} -0.2113\\
0.7887\\
-0.5774 \end{pmatrix}$$ Is this the same?? (Wondering)
 
  • #19
mathmari said:
So, we take the vector $$\begin{pmatrix} 1\\-(2+\sqrt{3})\\\frac{2(2+\sqrt{3})}{1+\sqrt{3}}\end{pmatrix}$$ right??

In Matlab the result is $$\begin{pmatrix} -0.2113\\
0.7887\\
-0.5774 \end{pmatrix}$$ Is this the same?? (Wondering)

Let's see...
$$\begin{pmatrix} 1\\-(2+\sqrt{3})\\\frac{2(2+\sqrt{3})}{1+\sqrt{3}}\end{pmatrix}
\approx \begin{pmatrix} 1\\-(2+1.7)\\\frac{2(2+1.7)}{1+1.7}\end{pmatrix}
\approx \begin{pmatrix} 1\\-3.7\\\frac{7.4}{2.7}\end{pmatrix}
\approx \begin{pmatrix} 1\\-3.7\\\frac{8}{3}\end{pmatrix}
\approx \begin{pmatrix} 1\\-3.7\\2.7\end{pmatrix}
$$
Divide by $-5$:
$$-\frac 1 5\begin{pmatrix} 1\\-(2+\sqrt{3})\\\frac{2(2+\sqrt{3})}{1+\sqrt{3}}\end{pmatrix}
\approx -\frac 1 5\begin{pmatrix} 1\\-3.7\\2.7\end{pmatrix}
\approx \begin{pmatrix} -0.2\\0.7\\-0.5\end{pmatrix}
$$

Yep. I think it is the same! (Nod)
 
  • #20
So, the vectors of Matlab are the normalized of the vectors that I found, right?? (Wondering)

So, the normalized vectors are
$$\frac{1}{\sqrt{3}}\begin{pmatrix}1\\1\\1\end{pmatrix}, \sqrt{\frac{3-\sqrt{3}}{6}}\begin{pmatrix}1\\-(2+\sqrt{3})\\\frac{2(2+\sqrt{3})}{1+\sqrt{3}}\end{pmatrix}, \sqrt{\frac{3+\sqrt{3}}{6}}\begin{pmatrix}1\\\sqrt{3}-2\\\frac{2(2-\sqrt{3})}{1-\sqrt{3}}\end{pmatrix}$$

So, is the array of eigenvectors the following?? (Wondering)

$$B=\begin{pmatrix}
\frac{1}{\sqrt{3}} & \sqrt{\frac{3-\sqrt{3}}{6}} & \sqrt{\frac{3+\sqrt{3}}{6}} \\
\frac{1}{\sqrt{3}} & -\sqrt{\frac{3-\sqrt{3}}{6}}(2+\sqrt{3}) & \sqrt{\frac{3+\sqrt{3}}{6}}(\sqrt{3}-2) \\
\frac{1}{\sqrt{3}} & 2\sqrt{\frac{3-\sqrt{3}}{6}}\frac{(2+\sqrt{3})}{1+\sqrt{3}} & \sqrt{\frac{3+\sqrt{3}}{3}} \frac{(2-\sqrt{3})}{1-\sqrt{3}}
\end{pmatrix}$$
 
  • #21
mathmari said:
So, the vectors of Matlab are the normalized of the vectors that I found, right?? (Wondering)

Looks that way. (Nod)

So, is the array of eigenvectors the following?? (Wondering)

$$B=\begin{pmatrix}
\frac{1}{\sqrt{3}} & \sqrt{\frac{3-\sqrt{3}}{6}} & \sqrt{\frac{3+\sqrt{3}}{6}} \\
\frac{1}{\sqrt{3}} & -\sqrt{\frac{3-\sqrt{3}}{6}}(2+\sqrt{3}) & \sqrt{\frac{3+\sqrt{3}}{6}}(\sqrt{3}-2) \\
\frac{1}{\sqrt{3}} & 2\sqrt{\frac{3-\sqrt{3}}{6}}\frac{(2+\sqrt{3})}{1+\sqrt{3}} & \sqrt{\frac{3+\sqrt{3}}{3}} \frac{(2-\sqrt{3})}{1-\sqrt{3}}
\end{pmatrix}$$

I can tell the the version with approximations that you had before, was correct.
The check to make, is that $A = BDB^{-1}$, which it was. (Wasntme)
 
  • #22
I tried it again...

I found the matrix $$B=\begin{pmatrix}
\frac{1}{\sqrt{3}} & \frac{1}{3+\sqrt{3}} & \frac{1}{3-\sqrt{3}} \\
\frac{1}{\sqrt{3}} & -\frac{3+\sqrt{3}}{6} & \frac{\sqrt{3}-3}{6} \\
\frac{1}{\sqrt{3}} & \frac{\sqrt{3}}{3} & -\frac{\sqrt{3}}{6}
\end{pmatrix}=\begin{pmatrix} 0.5774 & 0.2113 & 0.7887 \\
0.5774 & -0.7887 & -0.2113 \\
0.5774 & 0.5774 & -0.2887\end{pmatrix}$$

In Matlab with the command [m][V,D]=eig(A)[/m] I get the following:

$$V =\begin{pmatrix}
-0.2113 & -0.7887 & -0.5774 \\
0.7887 & 0.2113 & -0.5774 \\
-0.5774 & 0.5774 & -0.5774\end{pmatrix}$$$$D =\begin{pmatrix}
-1.6830 & 0 & 0 \\
0 & -0.8170 & 0 \\
0 & 0 & -0.5000\end{pmatrix}$$So, the matrix $V$ is the same as I found, $B$, but the vectors are not in the same order and it has a different sign... Does it make a difference?? (Wondering)
 
  • #23
mathmari said:
I tried it again...

I found the matrix $$B=\begin{pmatrix}
\frac{1}{\sqrt{3}} & \frac{1}{3+\sqrt{3}} & \frac{1}{3-\sqrt{3}} \\
\frac{1}{\sqrt{3}} & -\frac{3+\sqrt{3}}{6} & \frac{\sqrt{3}-3}{6} \\
\frac{1}{\sqrt{3}} & \frac{\sqrt{3}}{3} & -\frac{\sqrt{3}}{6}
\end{pmatrix}=\begin{pmatrix} 0.5774 & 0.2113 & 0.7887 \\
0.5774 & -0.7887 & -0.2113 \\
0.5774 & 0.5774 & -0.2887\end{pmatrix}$$

In Matlab with the command [m][V,D]=eig(A)[/m] I get the following:

$$V =\begin{pmatrix}
-0.2113 & -0.7887 & -0.5774 \\
0.7887 & 0.2113 & -0.5774 \\
-0.5774 & 0.5774 & -0.5774\end{pmatrix}$$$$D =\begin{pmatrix}
-1.6830 & 0 & 0 \\
0 & -0.8170 & 0 \\
0 & 0 & -0.5000\end{pmatrix}$$So, the matrix $V$ is the same as I found, $B$, but the vectors are not in the same order and it has a different sign... Does it make a difference?? (Wondering)

Good! (Smile)

And no, it doesn't make a difference. (Shake)
It does mean that a different diagonal matrix belongs to your $B$ with for instance $-0.5$ at the left top.
And it also means that when you continue, the intermediate $y_i$ will be swapped around.

More specifically, the matrix $D$ contains the eigenvalues, which are unique, but you are free to order them.
Matlab will use a standard ordering, probably putting them in order of descending absolute value.
The matrix $V$ contains the corresponding eigenvectors in the same order.
Each of those eigenvectors has an arbitrary length and sign.
Matlab will normalize them to unit length, and may ensure that the determinant is positive. (Nerd)
 
  • #24
For an orthonormal matrix $P$ it stands that $P^{T}=P^{-1}$, right?? (Wondering)

In Matlab I calculated the inverse and the transpose matrix of $V$ and the result was the same matrix...

When I calculated in Matlab the inverse and the transpose of $B$ I didn't get the same result... Why?? (Wondering)
 
  • #25
mathmari said:
For an orthonormal matrix $P$ it stands that $P^{T}=P^{-1}$, right?? (Wondering)

In Matlab I calculated the inverse and the transpose matrix of $V$ and the result was the same matrix...

When I calculated in Matlab the inverse and the transpose of $B$ I didn't get the same result... Why?? (Wondering)

A matrix is orthogonal iff all column vectors have unit length and are orthogonal to each other.

Turns out that your eigenvectors happen to be orthogonal.
As a result your $B$ and $V$ will be orthogonal matrices if they contain eigenvectors with unit length. (Thinking)

It appears your matrix $B$ contains a mistake though. (Worried)
I think the bottom rightmost entry should be $-\frac{\sqrt 3}{3} \approx -0.5774$, which is what you have for the corresponding eigenvector in $V$.
 
  • #26
You are right!

Finally I found the correct solution of the system! (Dance)

I am asked to find the values of $x$, $y$ and $z$ when the system is in steady state..

I found that the values are $$\begin{pmatrix} \frac{545}{11} \\ \frac{645}{11} \\ \frac{515}{11}\end{pmatrix}$$

After that I am asked to find in how many hours the system reaches the steady state... How do we find that?? (Wondering)
 
  • #27
mathmari said:
You are right!

Finally I found the correct solution of the system! (Dance)

Congratulations! (Party)

I am asked to find the values of $x$, $y$ and $z$ when the system is in steady state..

I found that the values are $$\begin{pmatrix} \frac{545}{11} \\ \frac{645}{11} \\ \frac{515}{11}\end{pmatrix}$$

After that I am asked to find in how many hours the system reaches the steady state... How do we find that?? (Wondering)

Steady state is when $X'=0$, or equivalently, when $Y'=BX'=0$.
Since $Y'=DY+B^{-1}C$, it follows that in steady state we have $DY+B^{-1}C = 0 \Rightarrow Y=D^{-1}B^{-1}C$.
Since you've solved $Y$, how about filling in its solution? (Thinking)
 
  • #28
To find the values of $(x,y,z)$ of my previous post I did the following:

$X'=0 \Rightarrow AX+C=0 \Rightarrow AX=-C \Rightarrow X=A^{-1}(-C)$.

This is the same way as you said, without setting $X=BY$, right?? (Wondering)

Since these values are the constant term of the solution of the system, that means that the terms $e^{\text{ constant }t}$ should be $0$, right?? (Wondering)
 
  • #29
The initial value problem is:

$$x' = m_0(45 − x) + m_1(y − x) \\
y' = m_1(x − y) + m_2(35 − y) + m_3(z − y) + 20 \\
z' = m_3(y − z) + m_4(35 − z)$$

where $m_0=\frac{1}{2}, m_1=\frac{1}{4}, m_2=\frac{1}{2}, m_3=\frac{1}{2}, m_4=\frac{1}{2}$. I am also asked to find the values of $m_1$ so that the value of $z$ is greater that $x$ in the steady state... How do we find these values?? (Wondering)
 
  • #30
mathmari said:
To find the values of $(x,y,z)$ of my previous post I did the following:

$X'=0 \Rightarrow AX+C=0 \Rightarrow AX=-C \Rightarrow X=A^{-1}(-C)$.

This is the same way as you said, without setting $X=BY$, right?? (Wondering)

Since these values are the constant term of the solution of the system, that means that the terms $e^{\text{ constant }t}$ should be $0$, right?? (Wondering)

I believe you're supposed to find the solution for $X = X(t)$, which contains factors $e^{\lambda t}$.
Those terms with $e^{\lambda t}$ will not and cannot be zero. (Wasntme)
mathmari said:
The initial value problem is:

$$x' = m_0(45 − x) + m_1(y − x) \\
y' = m_1(x − y) + m_2(35 − y) + m_3(z − y) + 20 \\
z' = m_3(y − z) + m_4(35 − z)$$

where $m_0=\frac{1}{2}, m_1=\frac{1}{4}, m_2=\frac{1}{2}, m_3=\frac{1}{2}, m_4=\frac{1}{2}$.

I am also asked to find the values of $m_1$ so that the value of $z$ is greater that $x$ in the steady state... How do we find these values?? (Wondering)

This is again a problem of the form $X'=AX+C$.
Which steady state will it have? (Wondering)
 
  • #31
We have

$$A=\begin{pmatrix}-(m_0+m_1) & m_1 & 0 \\ m_1 & -(m_1+m_2+m_3) & m_3 \\ 0 & m_3 & -(m_3+m_4)\end{pmatrix}$$

$$C=\begin{pmatrix}45m_0\\20\\35m_4\end{pmatrix}$$

So, we have to solve $X=-A^{-1}C$ subject to $z>x$, right?? (Wondering)

- - - Updated - - -

I like Serena said:
I believe you're supposed to find the solution for $X = X(t)$, which contains factors $e^{\lambda t}$.
Those terms with $e^{\lambda t}$ will not and cannot be zero. (Wasntme)

We will get three relations of the form $e^{\lambda t}=0$, right?? What does this mean?? (Wondering)
 
  • #32
mathmari said:
We have

$$A=\begin{pmatrix}-(m_0+m_1) & m_1 & 0 \\ m_1 & -(m_1+m_2+m_3) & m_3 \\ 0 & m_3 & -(m_3+m_4)\end{pmatrix}$$

$$C=\begin{pmatrix}45m_0\\20\\35m_4\end{pmatrix}$$

So, we have to solve $X=-A^{-1}C$ subject to $z>x$, right?? (Wondering)

Yep. (Smile)

- - - Updated - - -

We will get three relations of the form $e^{\lambda t}=0$, right?? What does this mean?? (Wondering)

I'm not so sure that's what we will get. How did you get it? (Wondering)
If we would, there would be no solution. (Wasntme)
 
  • #33
I like Serena said:
Yep. (Smile)

How can we find the inverse of $A$?? I got stuck right now...
 
  • #34
I like Serena said:
I'm not so sure that's what we will get. How did you get it? (Wondering)
If we would, there would be no solution. (Wasntme)

$\lambda$ is negative... So, that means that $t \rightarrow +\infty$, or not?? (Wondering)
 
  • #35
mathmari said:
$\lambda$ is negative... So, that means that $t \rightarrow +\infty$, or not?? (Wondering)

If $e^{\lambda t} = 0$. What is the reason you think it is? (Wondering)
 
<h2>1. What is an initial value problem for a system of linear differential equations?</h2><p>An initial value problem for a system of linear differential equations is a mathematical model that describes the behavior of a system of variables over time. It consists of a set of equations that relate the rates of change of these variables to each other, along with initial values for each variable at a given time.</p><h2>2. How is an initial value problem for a system of linear differential equations solved?</h2><p>An initial value problem for a system of linear differential equations is typically solved using numerical methods, such as Euler's method or Runge-Kutta methods. These methods involve breaking down the problem into smaller steps and using iterative calculations to approximate the solution.</p><h2>3. What is the importance of solving initial value problems for systems of linear differential equations?</h2><p>Solving initial value problems for systems of linear differential equations allows us to understand and predict the behavior of complex systems in various fields, such as physics, engineering, and economics. It also provides a way to model real-life situations and make informed decisions based on the outcomes.</p><h2>4. What are some applications of initial value problems for systems of linear differential equations?</h2><p>Initial value problems for systems of linear differential equations have a wide range of applications, including modeling population dynamics, predicting weather patterns, analyzing chemical reactions, and studying electrical circuits. They are also used in fields such as medicine, finance, and ecology.</p><h2>5. What are some common challenges when solving initial value problems for systems of linear differential equations?</h2><p>Some common challenges when solving initial value problems for systems of linear differential equations include choosing the appropriate numerical method, dealing with complex equations and initial conditions, and ensuring the accuracy and stability of the solution. It is also important to interpret the results in the context of the specific problem being modeled.</p>

Related to Initial Value Problem for a System of Linear Differential Equations

1. What is an initial value problem for a system of linear differential equations?

An initial value problem for a system of linear differential equations is a mathematical model that describes the behavior of a system of variables over time. It consists of a set of equations that relate the rates of change of these variables to each other, along with initial values for each variable at a given time.

2. How is an initial value problem for a system of linear differential equations solved?

An initial value problem for a system of linear differential equations is typically solved using numerical methods, such as Euler's method or Runge-Kutta methods. These methods involve breaking down the problem into smaller steps and using iterative calculations to approximate the solution.

3. What is the importance of solving initial value problems for systems of linear differential equations?

Solving initial value problems for systems of linear differential equations allows us to understand and predict the behavior of complex systems in various fields, such as physics, engineering, and economics. It also provides a way to model real-life situations and make informed decisions based on the outcomes.

4. What are some applications of initial value problems for systems of linear differential equations?

Initial value problems for systems of linear differential equations have a wide range of applications, including modeling population dynamics, predicting weather patterns, analyzing chemical reactions, and studying electrical circuits. They are also used in fields such as medicine, finance, and ecology.

5. What are some common challenges when solving initial value problems for systems of linear differential equations?

Some common challenges when solving initial value problems for systems of linear differential equations include choosing the appropriate numerical method, dealing with complex equations and initial conditions, and ensuring the accuracy and stability of the solution. It is also important to interpret the results in the context of the specific problem being modeled.

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