Solving for 2nd Order LODE System: Component Form and Eigenvectors

In summary, the student is trying to solve a system of equations in which the unknowns are in the form e^{\lambda t}\mathbf{u}. They start by assuming that the unknown is in the form e^{\lambda t}\mathbf{u} and then use the fact that exp can never be 0 to solve for \lambda. They are then stuck trying to find the eigenvectors for this system.
  • #1
foxjwill
354
0

Homework Statement


Solve the following system for [tex]\mathbf{r}(t)[/tex]:

[tex]\frac{d^2\mathbf{r}}{dt^2}=-\frac{k}{m}\mathbf{r}.[/tex]​

Homework Equations


The Attempt at a Solution


Now, I know how to solve for the magnitude of r (in fact, since it's the equation for the simple harmonic motion of a spring obeying hooke's law, I have it memorized), but I'd like to be able to solve for the component form. Here's what I've tried so far:

I start by guessing that [tex]\mathbf{r}[/tex] is in the form [tex]e^{\lambda t}\mathbf{u}[/tex], where [tex]\lambda[/tex] is an eigenvalue and [tex]\mathbf{u}[/tex] is an eigenvector. Plugging in, I have

[tex]\left(\lambda^2 + \frac{k}{m}\right) e^{\lambda t}\mathbf{u} = \matbf{0}.[/tex]​

Since exp can never be 0, and it would be meaningless (I think) at this point to have u be 0, we can solve what's left for [tex]\lambda[/tex] and get
[tex]\lambda = \pm i \sqrt{k \over m}.[/tex]​
I know that the answer should look something like

[tex]\mathbf{r} = \mathbf{u}_1\cos{\sqrt{k \over m}}+\mathbf{u}_2\sin{\sqrt{k \over m}},[/tex]​

but I'm not sure how to find the eigenvectors (u1 and u2) here. Any ideas?
 
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  • #2
I don't know what "eigenvectors" you are talking about. In fact, I see no reason to solve this as a vector problem at all. The components of r must satisfy exactly the same equation: x'= -(k/m)x, y'= -(k/m)y, z'= -(k/m)z (assuming r is in R3.)
 
  • #3
As HallsofIvy stated (and in fact what you essentially did) is solve the exact same equation in the three components: your solutions are precisely of the form
[tex]x = a_1 \cos{\sqrt{\frac{k}{m}}} + a_2 \sin{{\sqrt{\frac{k}{m}}}}[/tex]
and similarly for y and z (with different constants).

Now you should note that u, as you used it, is NOT actually a eigenvector of the system like you stated and so lambda can not be its eigenvector; for if it were:
[tex]\left(\frac{d^2}{{dt}^2}+\frac{k}{m}\right)\vec{u}=\lambda \vec{u}[/tex]
so
[tex]\left(\frac{d^2}{{dt}^2}+\frac{k}{m}\right) e^{\lambda t} \vec{u} = \lambda^2 e^{\lambda t} \vec{u} + 2 \lambda e^{\lambda t} \frac{d\vec{u}}{dt}+ e^{\lambda t} \vec {u}[/tex]
(ick, I suggest you work through it explicitly).

The concept you were really looking for here is constant. u and lambda are constants. Then everything you said makes sense, and you can see that u1 and u2 are determined by boundary conditions (just like in the one variable case).
 

FAQ: Solving for 2nd Order LODE System: Component Form and Eigenvectors

What is a 2nd order LODE system?

A 2nd order LODE (linear ordinary differential equation) system is a mathematical model that describes the behavior of a physical system using second-order differential equations. It is commonly used in physics and engineering to model systems that involve acceleration, such as motion and vibrations.

How is a 2nd order LODE system different from a 1st order LODE system?

A 2nd order LODE system involves second derivatives, while a 1st order LODE system only involves first derivatives. This means that a 2nd order LODE system has two variables and two initial conditions, while a 1st order LODE system has one variable and one initial condition.

What are the applications of a 2nd order LODE system?

A 2nd order LODE system has many practical applications, including modeling the motion of a pendulum, describing the behavior of a spring-mass system, and analyzing the vibrations of a guitar string. It is also widely used in control systems and electrical circuits.

How do you solve a 2nd order LODE system?

To solve a 2nd order LODE system, you can use various methods such as the method of undetermined coefficients, variation of parameters, and Laplace transforms. It is important to first identify the type of equation and then choose the appropriate method for solving it.

What are the limitations of a 2nd order LODE system?

While a 2nd order LODE system is a powerful tool for modeling and analyzing physical systems, it does have some limitations. It assumes linearity, meaning that the system's behavior can be described by a linear equation. This may not always be the case in real-life systems, leading to inaccurate predictions. Additionally, it may be difficult to accurately model systems with complex dynamics using a 2nd order LODE system.

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