Second-Order Equations and Eigenvectors

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In summary, the conversation discussed converting y"=0 to a first-order system du/dt=Au, finding the matrix A and its eigenvectors and eigenvalues, and solving the system using the solution eAtu(0) with initial conditions y(0)=3 and y'(0)=4. The relevant equation for solving a linear system of first-order differential equations was also mentioned.
  • #1
tatianaiistb
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Homework Statement



Convert y"=0 to a first-order system du/dt=Au

d/dt [y y']T = [y' 0]T = [0 1; 0 0] [y y']T

This 2x2 matrix A has only one eigenvector and cannot be diagonalized. Compute eAt from the series I+At+... and write the solution eAtu(0) starting from y(0)=3, y'(0)=4. Check that your (y, y') satisfies y"=0.

Homework Equations





The Attempt at a Solution



So I found eAt to be equal to the matrix
[1 t
0 1].
I found this eAt=I+At where A is the matrix [0 1; 0 0].

I also know that matrix A has eigenvalue 0 with multiplicity 2, and eigenvector [1 0]T.

But from there I'm stuck... Not sure how to get eAtu(0)...

Can anyone help? Thanks in advance!
 
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  • #2
Hi again!

How is u defined in your problem?

And do you have a relevant equation for solving a linear system of first order differential equations?
 
  • #3
That's why I'm so confused... The only information given is the one I stated above exactly as it is worded. And I don't know of any relevant equations for solving this system. :-(
 
  • #4
In your problem statement you write du/dt.
And then you write d/dt [y y']^T.

Are they related?
 
  • #5
Nevermind. I think I figured it out. Thanks for the help!
 
  • #6
Ok.
(Did you find your relevant equation?)
 

FAQ: Second-Order Equations and Eigenvectors

What are second-order equations?

Second-order equations are mathematical equations that involve second derivatives of a variable. They can take the form of differential equations or algebraic equations.

What are eigenvectors?

Eigenvectors are special vectors that, when multiplied by a matrix, produce a scalar multiple of themselves. They are often used in linear algebra to simplify calculations and find important characteristics of a matrix.

How are second-order equations and eigenvectors related?

Second-order equations can be represented as matrices, and the eigenvectors of these matrices can help to solve the equations. Eigenvectors can also represent important solutions or behaviors of the system described by the equation.

What is the significance of eigenvalues in second-order equations?

Eigenvalues are the scalars that result when an eigenvector is multiplied by a matrix. In the context of second-order equations, eigenvalues represent important characteristics of the system, such as stability or oscillatory behavior.

How are second-order equations and eigenvectors used in real-world applications?

Second-order equations and eigenvectors are used in a variety of fields, including physics, engineering, and economics. They can be used to model and predict the behavior of systems, such as electrical circuits, mechanical systems, and financial markets.

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