Fundamental Matrix: Proving Vectors Solutions

In summary: My y -value obtained by differentiation is different from the one obtained by substitution, that is (1, -e^(-t)) != (t^2 + 1, -2e^(-t)). In summary, the given vectors, x(t) = (e^t, -t) and y(t) = (t, e^(-t)), are solutions to the differential equation \overline{x}' = \frac {1} {1+t^2} \begin{bmatrix} 1+t & e^t(1-t) \\ -e^-(t) (1+t) & t-1 \end{bmatrix} \overline{x}.
  • #1
soopo
225
0

Homework Statement



Show that the vectors
[tex]\overline{x}(t) =
\begin{bmatrix}
e^t
\\ -t
\end{bmatrix}
[/tex]

and

[tex]
\overline{y}(t) =
\begin{bmatrix}
t
\\ e^(-t)
\end{bmatrix}[/tex]
are solutions for

[tex]\overline{x}' = \frac {1} {1+t^2}
\begin{bmatrix}
1+t & e^t(1-t)
\\ -e^-(t) (1+t) & t-1
\end{bmatrix}
\overline{x}
.[/tex]

The last row should be a 2x2 matrix. The x and y are vectors.

The Attempt at a Solution



I feel that it would be helpful to have fundamental matrix here: [itex]\Phi(t,s)[/itex].
 
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  • #2
Perhaps I'm missing something: why don't you simply substitute the given vectors into the matrix system and see if things balance?
 
  • #3
statdad said:
Perhaps I'm missing something: why don't you simply substitute the given vectors into the matrix system and see if things balance?
You're not missing anything at all. soopo should take x(t), find x'(t), and then observe that these vectors make the differential equation identically true.

Then do exactly the same thing for y(t) and y'(t).
 
  • #4
statdad said:
Perhaps I'm missing something: why don't you simply substitute the given vectors into the matrix system and see if things balance?

I get [itex] x' = (e^t, -1) [/itex] by putting x to x' and [itex] x' = (1,-e^t)[/itex] by putting y to x'.
This gives me [itex]t = -t [/itex] that is [itex] 1 = -1[/itex] which is false.
 
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  • #5
soopo said:
I get [itex] x' = (e^t, -1) [/itex] by putting x to x' and [itex] x' = (e^t, -1)[/itex] by putting y to x'.
This gives me [itex]t = -t [/itex] that is [itex] 1 = -1[/itex] which is false.
What do you mean "by putting y to x'"? You have what amounts to two problems: showing that x(t) = (et, -t) is a solution of the differential equation and showing that y(t) = (t, e-t) is a solution.

I have done the first part and have confirmed that x(t) is a solution.
 
  • #6
Mark44 said:
What do you mean "by putting y to x'"? You have what amounts to two problems: showing that x(t) = (et, -t) is a solution of the differential equation and showing that y(t) = (t, e-t) is a solution.

I have done the first part and have confirmed that x(t) is a solution.

I had a typo in my reply.
I mean by "putting y to x" that you make y equals x in the last statement for x'.

I differentiate the x by getting the same x' which I get by plugging in the x for the statement x'.

How can you show that x(t) = (et, -t) is a solution of the differential equation?
 
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  • #7
What you are calling the "last statement for x'" is the differential equation. You are trying to show that the vector functions x(t) and y(t) are solutions of this differential equation.

Are you trying to show that x(t) = y(t) and that x'(t) = y'(t)? If so, that's obviously not true, and that's not what this problem is about.
 
  • #8
"Perhaps I'm missing something..."

I hadn't had my morning coffee when I posted, so I needed to hedge my bets. :}

soopo: differentiate the vector [tex] x [/tex], and perform the matrix multiplication using tex] x [/tex] on the right. You should get the sam results - this shows your given vector is a solution. Do the same steps for [tex] y [/tex].
 
  • #9
statdad said:
"Perhaps I'm missing something..."

I hadn't had my morning coffee when I posted, so I needed to hedge my bets. :}

soopo: differentiate the vector [tex] x [/tex], and perform the matrix multiplication using tex] x [/tex] on the right. You should get the sam results - this shows your given vector is a solution. Do the same steps for [tex] y [/tex].

My y -value [itex] obtained by differentiation is different from the one obtained by substitution that is
[tex] (1, -e^(-t)) != (t^2 + 1, -2e^(-t))[/tex]
 

FAQ: Fundamental Matrix: Proving Vectors Solutions

1. What is a fundamental matrix?

A fundamental matrix is a matrix that represents the linear transformation of a system of linear equations. It is used to find the solution to a system of equations by converting it into a matrix equation.

2. How is a fundamental matrix used to prove vector solutions?

A fundamental matrix is used to prove vector solutions by representing a system of equations as a matrix equation, with the unknown variables as a vector. By finding the inverse of the fundamental matrix, the vector solution can be calculated.

3. Can a fundamental matrix be used for non-linear systems of equations?

No, a fundamental matrix is only applicable for linear systems of equations. Non-linear systems require different methods for finding solutions.

4. What is the role of pivots in a fundamental matrix?

Pivots in a fundamental matrix represent the points where the rows and columns of the matrix intersect. They are used to determine the number of solutions to a system of equations, with a pivot in every row indicating a unique solution, and no pivot in a row indicating an infinite number of solutions.

5. Can a fundamental matrix be used to solve systems with more than two unknown variables?

Yes, a fundamental matrix can be used for systems with any number of unknown variables. However, as the number of variables increases, the calculations become more complex and computationally intensive.

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