Help taking a partial derivative

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Homework Help Overview

The discussion revolves around the computation of a partial derivative, specifically the expression $$\partial_tu\big[(t,x-t\kappa V)\big]$$ without a defined function $$u(t,x)$$. Participants explore the implications of different functions and transformations on the derivative's outcome.

Discussion Character

  • Conceptual clarification, Mathematical reasoning

Approaches and Questions Raised

  • The original poster attempts to demonstrate that the partial derivative depends on the specific form of the function $$u(t,x)$$ by providing examples. Some participants question the implications of this dependency and explore the chain rule in the context of transformations of the function.

Discussion Status

Participants are actively engaging with the concepts of partial derivatives and the chain rule. There are differing interpretations of the application of the chain rule, with some seeking clarification on the correctness of their statements. A productive exchange of ideas is occurring, with references to additional resources for deeper understanding.

Contextual Notes

There is a focus on the nuances of notation and the definitions of functions involved in the discussion, highlighting potential confusion in the application of the chain rule to multi-variable functions.

docnet
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Homework Statement
I need to compute this partial derivative
Relevant Equations
##\partial_tu\big[(t,x-t\kappa V)\big]##
Hi all, I was wondering is if the following partial derivative can be computed without a specific ##u(t,x)##

$$\partial_tu\big[(t,x-t\kappa V)\big]$$

I was thinking it can't be done, because we could have

$$u_a(t,x)=tx \Rightarrow \partial_tu\big[(t,x-t\kappa V)\big]=\partial_t\big[tx-t^2\kappa V\big]=x-2t\kappa V$$
$$u_b(t,x)=t+x \Rightarrow \partial_tu\big[(t,x-t\kappa V)\big]=\partial_t\big[t+x-t\kappa V\big]=1-\kappa V$$

so there is no universal formula for ##\partial_tu\big[(t,x-t\kappa V)\big]##, which depends on the function ##u(t,x)##.
 
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You mean that the partial derivative of a function depends on the function? Is that a surprise?
 
PeroK said:
You mean that the partial derivative of a function depends on the function? Is that a surprise?
Thank you. If we have a transformation of ##u(t,x)## defined by ##u_a(t,x)\Rightarrow u(2t,x)## then we can make a statement like
$$\partial_t[u_a(t,x)]=\partial_tu(2t,x)\cdot \partial_t(2t)$$$$=2\cdot \partial_tu(2t,x)=2\partial_tu_a(t,x)$$
The partial derivative of the transformed function scales by a multiple of 2.

I needed some thinking out loud to convince myself that there isn't a similar result for functions like ##u(t,x-t)##
 
okay, i think i see what is confusing me. i have been writing it wrong.

could you tell me if the following statement is correct, and the statement in post is #3 wrong?

$$\partial_tu_a(t,x)=\partial_tu(2t,x)=\partial_t u(t,x) \cdot \partial_t(2t)$$
$$=2 \partial_tu(t,x)$$
 
Last edited:
docnet said:
okay, i think i see what is confusing me. i have been writing it wrong.

could you tell me if the following statement correct, and the statement in post #3 wrong?

$$\partial_tu_a(t,x)=\partial_tu(2t,x)=\partial_t u(t,x) \cdot \partial_t(2t)$$
$$=2 \partial_tu(t,x)$$
That's not right. The general form of the chain rule is: $$h(x) = f(g(x)) \ \Rightarrow \ h'(x) = f'(g(x))g'(x)$$ Note that the derivative of ##f## is evaluated at ##g(x)##. This generalises to the multi-variable case: $$\partial_t u(f(t), x) = \partial_t u(f(t), x) f'(t)$$ Now, if you have a function of the form ##u_a(t, x) = u(f(t), g(t, x))##, then you need to be careful about your notation and what things means. In this case, we have:
$$\partial_t u_a(t, x) = \partial_t u(f(t), g(t, x))f'(t) + \partial_x u(f(t), g(t, x))\partial_tg(t, x)$$
For more detail, see my Insight on the multi-variable chain rule:

https://www.physicsforums.com/insights/demystifying-chain-rule-calculus/
 
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PeroK said:
That's not right. The general form of the chain rule is: $$h(x) = f(g(x)) \ \Rightarrow \ h'(x) = f'(g(x))g'(x)$$ Note that the derivative of ##f## is evaluated at ##g(x)##. This generalises to the multi-variable case: $$\partial_t u(f(t), x) = \partial_t u(f(t), x) f'(t)$$ Now, if you have a function of the form ##u_a(t, x) = u(f(t), g(t, x))##, then you need to be careful about your notation and what things means. In this case, we have:
$$\partial_t u_a(t, x) = \partial_t u(f(t), g(t, x))f'(t) + \partial_x u(f(t), g(t, x))\partial_tg(t, x)$$
For more detail, see my Insight on the multi-variable chain rule:

https://www.physicsforums.com/insights/demystifying-chain-rule-calculus/
awesome write up! thank you.
 

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