First-Order Linear Differential Problem

In summary, the problem asks to solve the initial value problem X' = \begin{pmatrix}2 & -1\\3 & -2\end{pmatrix}X + \begin{pmatrix}0\\t\end{pmatrix} with X(0) = \begin{pmatrix}1\\0\end{pmatrix}. The eigenvalues of the coefficient matrix are found to be \lambda_1 = -1 and \lambda_2 = 1. The complementary solution is then given by X_c = c_1\begin{pmatrix}1\\1\end{pmatrix}e^t + c_2\begin{pmatrix}1\\3\end{pmatrix
  • #1
Hiche
84
0

Homework Statement



Solve the following IVP:

[itex]X' = \begin{pmatrix}2 & -1\\3 & -2\end{pmatrix}X + \begin{pmatrix}0\\t\end{pmatrix}[/itex] with [itex]X(0) = \begin{pmatrix}1\\0\end{pmatrix}[/itex]

Homework Equations


The Attempt at a Solution



The eigenvalue corresponding to [itex]\begin{pmatrix}2 & -1\\3 & -2\end{pmatrix}[/itex] is [itex]\lambda = 0[/itex]. We find that [itex]X_c = c_1\begin{pmatrix}1\\2\end{pmatrix} e^{0t}[/itex]. Now in order to find [itex]X_p[/itex], how exactly is the right way? I took [itex]X_p = \begin{pmatrix}a_1\\b_1\end{pmatrix}t[/itex] and wanted to find [itex]a_1[/itex] and [itex]b_1[/itex]. Right or wrong?
 
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  • #2
Hi Hiche! :smile:
Hiche said:
The eigenvalue corresponding to [itex]\begin{pmatrix}2 & -1\\3 & -2\end{pmatrix}[/itex] is [itex]\lambda = 0[/itex].

Nooo :redface:
 
  • #3
oh, crap! Apparently, 3 * 1 = 4 -_-

So, again, the eigenvalues are [itex]\lambda_1 = -1[/itex] and [itex]\lambda_2 = 1[/itex]. I hope this is correct. So the solution of [itex]X_c = c_1\begin{pmatrix}1\\1\end{pmatrix}e^t + c_2\begin{pmatrix}1\\3\end{pmatrix}e^{-t}[/itex].

Now about [itex]X_p[/itex]. Is my method correct (first post)?
 
  • #4
Hiche said:
Now in order to find [itex]X_p[/itex], how exactly is the right way? I took [itex]X_p = \begin{pmatrix}a_1\\b_1\end{pmatrix}t[/itex] and wanted to find [itex]a_1[/itex] and [itex]b_1[/itex]. Right or wrong?

(i'm not sure, but…) i'd be inclined to go for [itex]X_p = \begin{pmatrix}a_0\\b_0\end{pmatrix} + \begin{pmatrix}a_1\\b_1\end{pmatrix}t[/itex]
 
  • #5
Okay, so upon a little work, [itex]X_p = \begin{pmatrix}1\\2\end{pmatrix}t[/itex] and the general solution is [itex]X = X_c + X_p[/itex]

Thank you, tiny-tim.
 
  • #6
But [itex]X_p = \begin{pmatrix}1\\2\end{pmatrix}t[/itex] isn't a solution …

Xp' = (1,2), and Xp(0) = (0,0)
 

1. What is a First-Order Linear Differential Problem?

A First-Order Linear Differential Problem is a type of differential equation that involves only the first derivative of an unknown function. It can be written in the form y' + p(x)y = q(x), where p(x) and q(x) are functions of x.

2. How do you solve a First-Order Linear Differential Problem?

To solve a First-Order Linear Differential Problem, you can use the method of integrating factors. This involves multiplying both sides of the equation by an integrating factor, which is a function that makes the left side of the equation equal to the derivative of the product of the integrating factor and the unknown function. Once the equation is in this form, you can integrate both sides to find the solution for the unknown function.

3. What is the significance of the integrating factor in solving a First-Order Linear Differential Problem?

The integrating factor is crucial in solving a First-Order Linear Differential Problem because it allows us to transform the equation into a simpler form that is easier to solve. It essentially "undoes" the product rule for differentiation and makes the left side of the equation equal to the derivative of the product of the integrating factor and the unknown function.

4. Can you provide an example of a real-world application of First-Order Linear Differential Problems?

First-Order Linear Differential Problems can be used to model various physical systems, such as population growth, radioactive decay, and electrical circuits. For example, the equation for the charging or discharging of a capacitor in an electrical circuit can be represented as a First-Order Linear Differential Problem.

5. Are there any limitations to using First-Order Linear Differential Problems to model real-world systems?

While First-Order Linear Differential Problems can be useful in modeling many physical systems, they have some limitations. For example, they can only model systems that can be described by a linear relationship between the dependent and independent variables. Also, they may not be accurate for long-term predictions as they assume a constant rate of change, which may not always be the case in real-world situations.

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