Separation of variables possible in this problem?

Click For Summary

Discussion Overview

The discussion revolves around the possibility of applying separation of variables to a specific partial differential equation of the form au_{xx} + bu_{yy} + c u_{xy} = u + k, where u is a function of x and y, and a, b, c, k are constants. Participants explore various methods and transformations to determine if separation of variables can be effectively utilized in this context.

Discussion Character

  • Technical explanation
  • Exploratory
  • Mathematical reasoning

Main Points Raised

  • One participant questions the feasibility of using separation of variables directly due to the presence of the u_{xy} term and the nonhomogeneous term k.
  • Another participant suggests a transformation to eliminate the nonhomogeneous term by letting u(x,y) = f(x,y) - k, leading to a homogeneous equation.
  • It is proposed that after attempting separation of variables, differentiating the resulting equation with respect to y might yield a separable form.
  • A participant mentions that examining the discriminant could allow for a variable substitution that results in a separable equation.
  • Another contribution indicates that the equation can be diagonalized, leading to a separable form after a change of variables is applied.

Areas of Agreement / Disagreement

Participants express differing views on the methods to achieve separability, with some proposing transformations and others suggesting alternative approaches. There is no consensus on a single method being definitive or universally applicable.

Contextual Notes

Participants note the importance of boundary conditions for the application of separation of variables, indicating that these conditions must be separable along curves of constant x and y.

DuckAmuck
Messages
238
Reaction score
40
TL;DR
Second order linear partial differential equation
Is it possible to use separation of variables on this equation?
au_{xx} + bu_{yy} + c u_{xy} = u + k
Where u is a function of x and y, abck are constant.
I tried the u(x,y) = X(x)Y(y) type of separation but I think something more clever is needed.

Thank you.
 
Physics news on Phys.org
Yes, something more clever will be required because presence of the ##u_{xy}## term as well as the nonhomogeneous term ##k## mean that straightforward separation of variables will not work. Getting rid of ##k## is easy: let ##u(x,y) = f(x,y) - k## and the equation for ##f## is homogeneous. Dealing with the ##u_{xy}## term isn't so easy, but sometimes a trick applies. First try separation of variables so you have an equation with terms such as ## \frac{X^{\prime\prime}(x)}{X(x)}##, etc. Then, differentiate that equation with respect to ##y##; the resulting equation might be separable.

Of course, even if the equation is separable you still need separable boundary conditions along curves of constant ##x## and ##y## in order for separation of variables to apply to your problem.

jason
 
By looking at the discriminant (C^2 - 4AB in this case) you can make a variable substitution and get a separable equation.
 
  • Like
Likes   Reactions: jasonRF
Yes, after making a change of variables.

The left hand side is <br /> \begin{pmatrix} \frac{\partial}{\partial x} &amp; \frac{\partial}{\partial y} \end{pmatrix}<br /> \begin{pmatrix} a &amp; \frac12 b \\ \frac12 b &amp; c \end{pmatrix}<br /> \begin{pmatrix} \frac{\partial}{\partial x} \\ \frac{\partial}{\partial y} \end{pmatrix} u<br /> This can be diagonalized to <br /> \lambda_1 \frac{\partial^2 u}{\partial s^2} + \lambda_2 \frac{\partial^2 u}{\partial t^2} where s and t are linear combinations of x and y. Setting \phi = u + k now yields <br /> \lambda_1 \frac{\partial^2 \phi}{\partial s^2} + \lambda_2 \frac{\partial^2 \phi}{\partial t^2} = \phi which is separable.
 
  • Like
Likes   Reactions: jasonRF

Similar threads

  • · Replies 7 ·
Replies
7
Views
3K
  • · Replies 3 ·
Replies
3
Views
2K
  • · Replies 3 ·
Replies
3
Views
2K
  • · Replies 3 ·
Replies
3
Views
4K
  • · Replies 0 ·
Replies
0
Views
3K
  • · Replies 4 ·
Replies
4
Views
4K
  • · Replies 16 ·
Replies
16
Views
4K
  • · Replies 6 ·
Replies
6
Views
2K
  • · Replies 4 ·
Replies
4
Views
3K
  • · Replies 36 ·
2
Replies
36
Views
6K