Question about total derivative/chain rule

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In summary, the conversation discusses the equations \frac{\mathrm{d}S}{\mathrm{d}t} = \left( \frac{\mathrm{d}\lambda}{\mathrm{d}t} \right)^2 and \frac{\mathrm{d}S}{\mathrm{d}\lambda} = \frac{\mathrm{d}\lambda}{\mathrm{d}t} and the relationship between the two. It also considers the possibility of time being a function of distance and discusses its acceptability for a macroscopic quantity.
  • #1
mSSM
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The following actually comes from Landau's 3rd Edit. Statistical Physics Part 1, Paragraph on Adiabatic Processes, Page 39.

I have the following two equations, where [itex]\lambda=\lambda(t)[/itex]. I am not so sure about [itex]S[/itex] (which is somewhat my problem):
[tex]\frac{\mathrm{d}S}{\mathrm{d}t} = \left( \frac{\mathrm{d}\lambda}{\mathrm{d}t} \right)^2[/tex]

Which is supposed to mean:
[tex]\frac{\mathrm{d}S}{\mathrm{d}\lambda} = \frac{\mathrm{d}\lambda}{\mathrm{d}t}[/tex]

Now, I thought that what is essentially being done there is multiplying the first equation such that we get:
[tex]\frac{\mathrm{d}S}{\mathrm{d}t}\frac{\mathrm{d}t}{\mathrm{d}\lambda} = \frac{\mathrm{d}\lambda}{\mathrm{d}t}[/tex]

But if I now assume that:
[tex]\frac{\mathrm{d}S}{\mathrm{d}t}\frac{\mathrm{d}t}{\mathrm{d}\lambda} = \frac{\mathrm{d}S}{\mathrm{d}\lambda}[/tex]
doesn't that in turn mean that [itex]t[/itex] is a function of [itex]\lambda[/itex]? Mathematically this seams sounds (to me), but physically this does not make so much sense, if [itex]t[/itex] is the time.
 
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  • #2
welcome to pf!

hi mSSM! welcome to pf! :smile:
mSSM said:
Mathematically this seams sounds (to me), but physically this does not make so much sense, if [itex]t[/itex] is the time.

suppose λ is distance

why shouldn't time be a function of distance? :wink:
 
  • #3


sin
tiny-tim said:
hi mSSM! welcome to pf! :smile:suppose λ is distance

why shouldn't time be a function of distance? :wink:

Thanks! :) Okay, I guess you could turn it that way. So essentially you say that we simply associate every instant of time with a certain "distance"... Since in my case the distance (=external condition) is a mechanical quantity I guess this would be sound.

Would something like that still be acceptable for a macroscopic quantity?
 
  • #4
mSSM said:
Would something like that still be acceptable for a macroscopic quantity?

i'm not sure i understand that sentence :confused:

a quantity is a quantity

why would length (or any other quantity) be unacceptable?
 
  • #5
tiny-tim said:
i'm not sure i understand that sentence :confused:

a quantity is a quantity

why would length (or any other quantity) be unacceptable?

Yeah, you are right. I can't think of a reason why that shouldn't work. :)
 

FAQ: Question about total derivative/chain rule

What is the total derivative of a function?

The total derivative of a function measures the rate of change of the function with respect to its entire set of independent variables. It takes into account how the dependent variable changes as each independent variable changes, in all possible directions.

How is the total derivative calculated using the chain rule?

The chain rule is used to calculate the total derivative of a composite function. It states that the total derivative of a composite function is equal to the product of the total derivative of the outer function and the derivative of the inner function.

What is the difference between the total derivative and the partial derivative?

The total derivative considers the change in a function with respect to all of its independent variables, while the partial derivative only looks at the change with respect to one specific independent variable, holding all others constant.

Can the total derivative be used to find the slope of a tangent line?

Yes, the total derivative can be used to find the slope of a tangent line at a specific point on a curve. This is because the total derivative measures the rate of change of a function at a specific point, which is equivalent to the slope of the tangent line at that point.

In what fields or applications is the total derivative commonly used?

The total derivative is commonly used in mathematics, physics, engineering, economics, and other sciences where there are multiple independent variables affecting a dependent variable. It is also used in optimization problems and in the study of differential equations.

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