Solving a Non-Exact O.D.E. with Coordinate Axis Shift

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SUMMARY

The discussion focuses on solving a non-exact ordinary differential equation (ODE) represented by the equation (2x-4y+5)y' + x-2y+3=0. Participants explore shifting the coordinate axis and substituting variables to transform the equation into a separable form. The conversation highlights the identification of singular solutions, particularly the linear solution y = x/2 + 11/8, which serves as an envelope for the general solution. The analysis also delves into the behavior of the system as it approaches asymptotic limits and the implications of critical solutions in the context of eigenvalues.

PREREQUISITES
  • Understanding of ordinary differential equations (ODEs)
  • Familiarity with coordinate transformations and substitutions
  • Knowledge of singular solutions and their properties
  • Basic concepts of eigenvalues and eigenvectors in linear systems
NEXT STEPS
  • Study the method of solving non-exact ODEs using coordinate transformations
  • Learn about singular solutions and how to identify them analytically
  • Explore the relationship between linear systems and their eigenvalues
  • Investigate the asymptotic behavior of differential equations
USEFUL FOR

Mathematicians, physicists, and engineers dealing with differential equations, particularly those interested in the analysis of non-exact ODEs and their solutions.

  • #31
I just realized something: For this problem and the other one Asdf posted, the solution, using Laplace Transforms, can be obtained in three easy steps in Mathematica:

Code:
alist = {u, v} /. 
    Solve[{s u == 2 u - 4 v + 5/s, s v - 1 == - u + 2 v - 3/s}, {u, v}]
x = InverseLaplaceTransform[alist[[1, 1]], s, t]
y = InverseLaplaceTransform[alist[[1, 2]], s, t]

I find that amazing! Granted, in general, I'd have to include two extra lines to first calculate the transform and this doesn't help one learn the math; I would not recommend this to anyone just learning the technique, but once learned, this provides an effective, concise means of approching the global behavior of these systems. :smile:
 

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