Partial derivative of an ordinary derivative?

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Discussion Overview

The discussion revolves around the concept of taking the partial derivative of an ordinary derivative, particularly in the context of rates of change. Participants explore the implications of applying partial derivatives to expressions involving ordinary derivatives and the conditions under which this is valid.

Discussion Character

  • Technical explanation
  • Mathematical reasoning
  • Debate/contested

Main Points Raised

  • Some participants propose that taking the partial derivative of a rate, such as \(\frac{\delta}{\delta t}(\frac{dx}{dt})\), leads to confusion unless certain conditions are met.
  • One participant argues that if \(x\) depends on \(t\) and another variable \(u\), then the chain rule must be applied, leading to a valid expression for the derivative.
  • Another participant expresses uncertainty about the validity of using partial derivatives in this context, suggesting that it may not make sense without proper conditions.
  • A later reply indicates that if \(x\) is solely dependent on \(t\), then the partial derivative can be treated as an ordinary derivative.
  • There is a mention of applying the chain rule to expressions involving trigonometric functions, such as \(\frac{\delta}{\delta t}(\cos\theta)\), leading to a specific outcome under certain dependencies.

Areas of Agreement / Disagreement

Participants express differing views on the appropriateness of taking partial derivatives of ordinary derivatives. Some agree that conditions must be met for this to be valid, while others challenge this notion, leading to an unresolved discussion.

Contextual Notes

Participants highlight the importance of understanding the dependencies of the variables involved, and the application of the chain rule, which remains a point of contention in the discussion.

Ultimâ
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I think the heading says it all. What happens if we take the partial derivative of a rate for example?

eg \frac{\delta}{\delta t}(\frac{dx}{dt})

If it was normal differentiation with respect to t we'd get acceleration, or \ddot{x}. I read somewhere that the partial can be treated as an ordinary if the top part tends to zero as the bottom part does, but if this is not the case? (such as if we had a function of cos which would approach 1)...
 
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Ultimâ said:
I think the heading says it all. What happens if we take the partial derivative of a rate for example?

eg \frac{\delta}{\delta t}(\frac{dx}{dt})

If it was normal differentiation with respect to t we'd get acceleration, or \ddot{x}.

Hi Ultimâ! :smile:

(have a partial: ∂ :smile:)

Partial derivative ∂/∂t simply means that you keep all variables constant other than t.

So if x only depends on t, then ∂/∂t = d/dt.

If x depends on t and something else, then you shouldn't write d/dt.

So ∂/∂t(dx/dt) doesn't really make sense. :smile:
I read somewhere that the partial can be treated as an ordinary if the top part tends to zero as the bottom part does, but if this is not the case? (such as if we had a function of cos which would approach 1)...

Sorry … not following any of that. :confused:
 
tiny-tim said:
If x depends on t and something else, then you shouldn't write d/dt.

So ∂/∂t(dx/dt) doesn't really make sense.

This is false. You just need to apply the chain rule. If x is a function of t and some other variable u, then

\frac{d}{dt}[x(t, u)] = \frac{\partial x}{\partial t} + \frac{\partial x}{\partial u} \frac{du}{dt}

The result will be some function \dot x = \dot x(t, u, \dot u), and then one can certainly take

\frac{\partial}{\partial t}[\dot x(t, u, \dot u)]
 
Thanks for that. As ben mentions, I had a case of a rate of changes (sounds like a rare disease), where the chain rule needed to be applied, and I thought the outcome seemed a bit weird. Thanks tiny-tim for verifying my suspicions that the partial can be treated as an ordinary differential when x is only dependent on t.

Given that's the case, I guess \frac{\delta}{\delta t}(cos\theta) can produce -sin\theta\frac{d\theta}{dt}! (of course given dependence on t)

a \delta{bye\ for\ now}!
 

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