Conditions for Exact Differential Equations

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Homework Help Overview

The discussion revolves around the conditions under which the differential form Mdx + Ndy is exact, where M(x,y) = yf(xy) and N(x,y) = xg(xy). Participants are exploring the implications of differentiability and the relationships between the functions f and g.

Discussion Character

  • Conceptual clarification, Mathematical reasoning, Assumption checking

Approaches and Questions Raised

  • Participants discuss the use of the product and chain rules for differentiation, questioning the notation for derivatives of functions of a single variable. There is an exploration of conditions for exactness and the implications of the relationship between f and g.

Discussion Status

Some participants are clarifying the correct notation for derivatives and discussing the implications of conditions for exactness. There is an ongoing exploration of how to integrate the functions and what the dependencies imply for the solution, with no explicit consensus reached.

Contextual Notes

Participants note confusion regarding the differentiation process and the implications of the conditions derived from the exactness of the differential form. There is also mention of potential constraints related to the functions f and g, as well as the context of a specific math course.

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Homework Statement



Let M(x,y) = yf(xy) and N(x,y) = xg(xy), where f(v) and g(v) are functions of a single real variable v, defined and continuously differentiable for all real values of v. Under what conditions on f and g is the form Mdx + Ndy exact for all values of x, y in the plane? In that case, find the function u(x,y) such that exact equation holds, and use that information to infer the general solution to the equation y' = -(M(x,y)/N(x,y)).

The Attempt at a Solution



Okay, so the way I see it, I have to use the product rule and the chain rule to take the derivatives, so

\frac{\partial M}{\partial y} = xyf_y(xy) + f(xy)

and

\frac{\partial N}{\partial x} = xyg_x(xy) + g(xy).

If the form is exact, then we have

f(xy) + xyf_y(xy) = g(xy) + xyg_x(xy)

so maybe a good condition is something like

\frac{f(xy) - g(xy)}{f_y(xy) - g_x(xy)} = -xy

provided the denominator is nonzero. But then, how do use this to find u(x,y)? I need to integrate M(x,y) with respect to x, but f(xy) depends on x. I have no clue what f is, and I don't see how this condition will help at all. What am I missing or doing wrong? Thanks for any help.
 
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Two comments: First, since f and g are functions of a single variable, "f_y(xy)" and "g_x(xy)" are not correct notation. It should be " f '(xy)" and "g '(xy)". Second, rather than that fraction, I would be inclined to write the formula (which is correct) as g(xy)- f(xy)= xy(f '(xy)- g '(xy)).

Now, solve the same way you normally would. Since yf(xy)dx+ xg(xy)dy is exact, there exist a fuction, U(x,y), such that
dU= \frac{\partial U}{\partial x}dx+ \frac{\partial U}{\partial y}dy= yf(xy)dx+ xg(xy)dy
that means that
\frac{\partial U}{\partial x}= yf(xy)
and so, integrating with respect to x while treating y as a constant,
U(x,y)= F(xy)+ W(y)
where F is an anti-derivative of f and W is an arbitrary differentiable function (the "constant" of integration).

Then
\frac{\partial U}{\partial y}= xf(xy)+ W'(y)= xg(xy)
and
W'(y)= x(g(xy)- f(xy))
In order that that be possible, x(g(xy)- f(xy)) must be a function of y only.
 
Thanks so much for responding. I'm confused a little about the conclusion. If x(g(xy) - f(xy)) only depends on y, what does that mean for the solution? From the condition on exactness, I guess it means that x^2y(f'(xy) - g'(xy)) only depends on y, but I don't see how that helps. Sorry for my confusion.

I was wondering about the derivatives issue as well. It makes sense that it should be f'(xy) instead of f_y(xy), since there's only one variable, but I thought it would be the case that I first evaluate f(v) with v = xy, then take the partial derivative with respect to y. So, for example, if f(v) = v^2, then f(xy) = x^2y^2. Now f'(v) = 2v, so f'(xy) = 2xy. But ∂/∂y (x^2y^2) = 2x^2y, which is different. Maybe more explicitly,

\frac{\partial}{\partial y} yf(xy) = f(xy) + y \left ( \frac{\partial}{\partial y} f(xy) \right )

right? Now at this point, shouldn't I evaluate f at xy and take the partial derivative with respect to that expression? It seems wrong to just differentiate f if I'm not differentiating with respect to the variable xy.

So right now, it seems that I can only reduce this to an equation

u(x,y) = F(xy) + G(xy) + C(y) + D(x)

where C and D are constants of integration since I don't know anything about the functions f and g.

Thanks again for your help.
 
For the derivative issue, you need to use the chain rule so that
\frac{\partial}{\partial y} f(xy) \right = f'(xy) \cdot x.

Then you can replace v = xy and integrate to get the condition on f and g for M dx + N dy to be an exact form.

Also, are you in MATH 273 or something. If so, who is your instructor (guessing Vlad or Angelica).
 

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