Classifying ODE's: What Determines Linearity and Order?

  • Thread starter Thread starter Lengalicious
  • Start date Start date
  • Tags Tags
    Classification
Lengalicious
Messages
162
Reaction score
0
When classifying an ODE do I just say whether its linear / non-linear and what order it is?

EDIT: Example: x2x'' + e-xx = t3 where x is function of t.

is this 2nd order, non linear and heterogeneous?

Also, would dx/dt = logte-x be homogeneous because both terms contain the dependant variable 't'?
 
Last edited:
Physics news on Phys.org
There are some more classifications for (second order) odes, mostly based on the fact that the ode is solvable (or not) when it is of a certain class. I like the choice of the Maple software, which is pretty classic. The online description of odeadvisor giving you a classification is here:
http://www.maplesoft.com/support/help/Maple/view.aspx?path=DEtools/odeadvisor

Your first order ode is homogeneous, because it does not have a term that only depends on t. dx/dt=a(t)*x+b(t) is not homogeneous, but dx/dt = a(t)*x is. Your example is also separable, which means it can be solved using separation of variables.
 
so if dx/dt = logte-1, would that now mean that this was no longer homogeneous? Thanks for the help by the way.
 
Your equation is not homogeneous because of the t cubed term.
 
There is the following linear Volterra equation of the second kind $$ y(x)+\int_{0}^{x} K(x-s) y(s)\,{\rm d}s = 1 $$ with kernel $$ K(x-s) = 1 - 4 \sum_{n=1}^{\infty} \dfrac{1}{\lambda_n^2} e^{-\beta \lambda_n^2 (x-s)} $$ where $y(0)=1$, $\beta>0$ and $\lambda_n$ is the $n$-th positive root of the equation $J_0(x)=0$ (here $n$ is a natural number that numbers these positive roots in the order of increasing their values), $J_0(x)$ is the Bessel function of the first kind of zero order. I...
Are there any good visualization tutorials, written or video, that show graphically how separation of variables works? I particularly have the time-independent Schrodinger Equation in mind. There are hundreds of demonstrations out there which essentially distill to copies of one another. However I am trying to visualize in my mind how this process looks graphically - for example plotting t on one axis and x on the other for f(x,t). I have seen other good visual representations of...
Back
Top