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First order nonlinear ODE -- Integrating factor + exact differentials, or not?
Hello everyone,
(I apologize if this did not format properly, if not I will attempt to edit it if that functionality is available upon submitting a question).
I recently came across the following nonlinear ODE that I am having difficulty in solving.
Determine the general solution to the differential equation:
\frac{dy}{dx} = \frac{x^2 - y^2}{x^2 + 5yx} = \frac{(x+y)(x-y)}{x(x + 5y)}
Any methods up to and including a typical advanced engineering mathematics (undergrad) course (integrating factors, variation of parameters, transforms, exact differentials, etc.)
My only ideas have involved forcing the equation to be an exact differential. However, I have not been able to come to a solution by this route. To demonstrate, I pursued putting the equation in the form of conventional notation for exact differentials,
<br /> \underbrace{(x^2 - y^2)}_{=\, M}dx - \underbrace{(x^2 + 5yx)}_{=\, -N}dy = 0 <br />
<br /> Mdx + Ndy = 0<br />
where
M = x^2 - y^2 \Rightarrow M_x = 2x, \quad M_y = -2y
N = -(x^2 + 5yx) \Rightarrow N_x = -2x - 5x \quad N_y = 5x
and the subscripts denote differentiation with respect to the labeled parameter. It is evident it is not exact (M_y \neq N_x). Further, I was unable to implement an integrating factor \sigma such that \frac{\partial}{\partial y}(\sigma M) = \frac{\partial}{\partial x} (\sigma N) upon multiplication of the entire equation by \sigma. It can readily be seen that the integrating factor \sigma is not only a function of x or y, e.g. writing out the condition for exact differentials involving the factor \sigma, and enforcing \sigma to be a function of x or y alone involves results of the form
\frac{\sigma_y}{\sigma} \sim \frac{M_y - N_x}{M}
or
\frac{\sigma_x}{\sigma} \sim \frac{M_y - N_x}{N}
which demonstrates that \sigma is a function of both variables in either case (in contradiction to the posits that lead to these equations).
Choosing a form \sigma (x,y) = x^a y^b, I could not discern proper constants a, and b.
Does anyone have any suggestions regarding solving this equation? Thanks very much for any insight, and take care.
Hello everyone,
(I apologize if this did not format properly, if not I will attempt to edit it if that functionality is available upon submitting a question).
I recently came across the following nonlinear ODE that I am having difficulty in solving.
Homework Statement
Determine the general solution to the differential equation:
\frac{dy}{dx} = \frac{x^2 - y^2}{x^2 + 5yx} = \frac{(x+y)(x-y)}{x(x + 5y)}
Homework Equations
Any methods up to and including a typical advanced engineering mathematics (undergrad) course (integrating factors, variation of parameters, transforms, exact differentials, etc.)
The Attempt at a Solution
My only ideas have involved forcing the equation to be an exact differential. However, I have not been able to come to a solution by this route. To demonstrate, I pursued putting the equation in the form of conventional notation for exact differentials,
<br /> \underbrace{(x^2 - y^2)}_{=\, M}dx - \underbrace{(x^2 + 5yx)}_{=\, -N}dy = 0 <br />
<br /> Mdx + Ndy = 0<br />
where
M = x^2 - y^2 \Rightarrow M_x = 2x, \quad M_y = -2y
N = -(x^2 + 5yx) \Rightarrow N_x = -2x - 5x \quad N_y = 5x
and the subscripts denote differentiation with respect to the labeled parameter. It is evident it is not exact (M_y \neq N_x). Further, I was unable to implement an integrating factor \sigma such that \frac{\partial}{\partial y}(\sigma M) = \frac{\partial}{\partial x} (\sigma N) upon multiplication of the entire equation by \sigma. It can readily be seen that the integrating factor \sigma is not only a function of x or y, e.g. writing out the condition for exact differentials involving the factor \sigma, and enforcing \sigma to be a function of x or y alone involves results of the form
\frac{\sigma_y}{\sigma} \sim \frac{M_y - N_x}{M}
or
\frac{\sigma_x}{\sigma} \sim \frac{M_y - N_x}{N}
which demonstrates that \sigma is a function of both variables in either case (in contradiction to the posits that lead to these equations).
Choosing a form \sigma (x,y) = x^a y^b, I could not discern proper constants a, and b.
Does anyone have any suggestions regarding solving this equation? Thanks very much for any insight, and take care.