Can you cancel differentials in partial derivatives?

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Discussion Overview

The discussion centers around the manipulation of differentials in the context of partial derivatives, specifically questioning whether expressions involving partial derivatives can be treated similarly to ordinary differentials. Participants explore the validity of canceling differentials in various mathematical contexts, including partial differential equations and dimensional analysis.

Discussion Character

  • Debate/contested
  • Mathematical reasoning
  • Conceptual clarification

Main Points Raised

  • Some participants express skepticism about canceling differentials in partial derivatives, noting that such manipulations are not rigorous.
  • One participant suggests that under certain conditions, such as when variables are independent, the cancellation of differentials might be acceptable.
  • Another participant introduces the idea of using separation of variables to find solutions to related differential equations, although the general conditions for validity remain unclear.
  • Dimensional analysis is cited by multiple participants as a reason why the proposed manipulations may not hold true in general, highlighting inconsistencies in units.
  • Some participants discuss the nuances of treating differentials and partial derivatives, with one noting that the notation can be misleading and should not be treated interchangeably.
  • A humorous example is provided to illustrate a specific case involving partial derivatives and their relationships, but it does not resolve the broader question of validity.
  • One participant questions the analogy between the initial expression involving ordinary differentials and the expression involving partial derivatives, suggesting a misunderstanding in the application of the concepts.

Areas of Agreement / Disagreement

Participants do not reach a consensus on the validity of canceling differentials in partial derivatives. Multiple competing views remain, with some arguing for specific conditions under which it might be acceptable, while others maintain that it is generally not valid.

Contextual Notes

Participants highlight limitations in the discussion, including the dependence on definitions of differentials and the need for specific conditions to be met for any proposed manipulations to hold true. The discussion also reflects a lack of resolution regarding the mathematical steps involved in the proposed expressions.

ice109
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often times you will see naive people cancel differentials to obtain whatever it is they want for example :

[tex]\frac{dx}{dy} \frac{dy}{dz} = \frac{dx}{dz}[/tex]

now i know this isn't rigorous and my question is actually about partials. is there ever an occasion/space/set/etc where i can do this:

[tex]\frac{\partial x}{\partial y} \frac{\partial x}{\partial z} = \frac{ \partial^2 x}{\partial y \partial z}[/tex]
 
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I would look at this as a partial differential equation for which we know there are particular solutions, e.g. x = y z. If you found the general solution, then you would know all the functions for which it is true.

However, there won't be general conditions such as "if x(y,z) is continuous/smooth/etc", unless the general condition you are looking for is "let x,y,z be independent variables...":smile:
 
Well, you can use separation of variables to show that any function of the form

[tex]f(x,y) = -ln(X(x)+Y(y)) + C[/tex]

is a solution to the differential equation you posted, where Y and X are arbitrary functions and C is an arbitrary constant. There's also the trivial solution (with f=0). I'm not sure if there are others, but if there are, there probably aren't many.
 
From the standpoint of dimensional analysis, the equation doesn't really make any sense.

Suppose x is metres, t and u are seconds.
Then d^2 x / (dudt) = d/dt (dx/du) has units of m/s^2
But (dx/du) (dx/dt) has units of m^2 / s^2.

So I don't think it will ever be true in general.
 
nicksauce said:
From the standpoint of dimensional analysis, the equation doesn't really make any sense.

Suppose x is metres, t and u are seconds.
Then d^2 x / (dudt) = d/dt (dx/du) has units of m/s^2
But (dx/du) (dx/dt) has units of m^2 / s^2.

So I don't think it will ever be true in general.

That's true, there are no physical quantities which obey this relationship. However, as I showed above, there are (dimensionless) mathematical functions which do.
 
Hi ice109! :smile:
ice109 said:
often times you will see naive people cancel differentials to obtain whatever it is they want for example :

[tex]\frac{dx}{dy} \frac{dy}{dz} = \frac{dx}{dz}[/tex]

So long as they're genuine ds and not ∂s (so x is a function of y only, and y is a function of z only), that's fine. :smile:
is there ever an occasion/space/set/etc where i can do this:

[tex]\frac{\partial x}{\partial y} \frac{\partial x}{\partial z} = \frac{ \partial^2 x}{\partial y \partial z}[/tex]

[tex]\frac{ \partial^2 x}{\partial y \partial z} = \frac{\partial }{\partial y}(\frac{\partial x}{\partial z}) = \frac{\partial }{\partial z}(\frac{\partial x}{\partial y})[/tex]
 
You start off by treating differentials as things you can multiply and divide. But notice that you've then moved on to multiply dx by dx and think it gives d^2x, rather than dx^2. That little thing should warn you off doing that - the choice of where to put the powers is quite deliberate.

There might well be occasions where the two things you equate are actually equal (though nothing non trivial springs to mind), but it isn't true in general. Surely we all agree x=yz is about as nice a function of y and z as can hope for. But you're asking if yz=1.
 
Last edited:
In some sense, you can cancel first differentials, as long as you are in one dimension.

i.e. at each point p of the real line, there is a one dimensional tangent space and a one dimensional cotangent space.

for each smooth function f, the differential df is a function whose value at each point p, the the linear function on the tangent space at p, taking the tangent vector h = x-p, to f'(p)h.

i.e. df(p) is an element of the cotangent space at p.

Thus if dg at p is the linear function taking h to g'(p)h, then df/dg at p takes every h to f'(p)/g'(p) = {df/dx}/{dg/dx}.

so these are slightly different, but very close, since df/dg is thus a function whose value at p is the constant function f'(p)/g'(p). and it is standard to equate a constant function with its constant value.

matt has pointed out the differences in trying such manipulations for second differentials.
 
ice109 said:
often times you will see naive people cancel differentials to obtain whatever it is they want for example :

[tex]\frac{dx}{dy} \frac{dy}{dz} = \frac{dx}{dz}[/tex]

now i know this isn't rigorous and my question is actually about partials. is there ever an occasion/space/set/etc where i can do this:

[tex]\frac{\partial x}{\partial y} \frac{\partial x}{\partial z} = \frac{ \partial^2 x}{\partial y \partial z}[/tex]
I really don't see how your second expression is analogous to the first. It also doesn't seem related to the thread title at all. In the first, the differentials appear to "cancel out" to give the resulting expression, but in the second, nothing on the LHS appear to cancel out. Did you mean [tex]\frac{\partial x}{\partial y} \frac{\partial y}{\partial z} = \frac{ \partial x}{\partial z}[/tex] instead?
 
  • #10
here is a humorous clasical example
suppose f(x,y,z)=0
then
[tex]\displaystyle{ \left(\frac{\partial z}{\partial x}\right)_y \left(\frac{\partial x}{\partial y}\right)_z \left(\frac{\partial y}{\partial z}\right)_x= -1}[/tex]
 
  • #11
yes it used to mystify me as a stuent when i noticed that if f(x,y) = 0,

then (∂f/∂x) dx + (∂f/∂y)dy = 0,

hence dy/dx = - (∂f/∂x)/(∂f/∂y).

but why not? the curly ∂'s are not first differentials, their symbols are just similar.
 

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