Why y, y' (derivative of y), x are independent?

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Discussion Overview

The discussion revolves around the independence of the variables y, y' (the derivative of y), and x in the context of calculus of variations and thermodynamics. Participants explore the implications of treating these variables as independent and the effects on differential equations and variations of functions.

Discussion Character

  • Technical explanation
  • Conceptual clarification
  • Debate/contested

Main Points Raised

  • Some participants assert that in calculus of variations, y, x, and y' are treated as independent variables when solving Euler's equation.
  • Others argue that the slope of the function (y') is directly dependent on the function itself (y), suggesting that this dependency leads to a single differential equation rather than multiple ones.
  • A participant explains the process of computing variations of functions with multiple variables, emphasizing the need for partial derivatives and the role of inner derivatives, indicating that the arguments are not truly independent.
  • Another participant provides a detailed example involving a function of multiple variables, illustrating how dependencies manifest when differentiating with respect to a parameter, and how this aligns with the notion of y' being dependent on y.

Areas of Agreement / Disagreement

Participants express differing views on the independence of y, y', and x, with some supporting the idea of independence while others highlight the inherent dependencies among these variables. The discussion remains unresolved regarding the nature of these relationships.

Contextual Notes

Participants note that the treatment of y, y', and x as independent may depend on specific contexts or assumptions, and the implications of these dependencies are not fully settled within the discussion.

SSDdefragger
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In calculus of variations when we solve Euler's equation we always do think of y, x and y' as independent variables.
In thermodynamics we think that different potentials have totally different variables
I don't understand why the slope of the function is not directly dependent on function itself.
 
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SSDdefragger said:
In calculus of variations when we solve Euler's equation we always do think of y, x and y' as independent variables.
In thermodynamics we think that different potentials have totally different variables
I don't understand why the slope of the function is not directly dependent on function itself.
It is directly dependent on the function. This is why you get one differential equation as the Euler equation and not several.

However, when computing the variation of a function which depends on several variables, you need to take the partial derivative wrt each argument separately and multiply by the inner derivative. That the arguments are not independent manifests itself by the inner derivatives not being independent.
 
Orodruin said:
However, when computing the variation of a function which depends on several variables, you need to take the partial derivative wrt each argument separately and multiply by the inner derivative. That the arguments are not independent manifests itself by the inner derivatives not being independent

Please can you explain this in more plain English, I don't quite follow.
 
You have a function of the form ##f(a,b,c)## where you are going to plug in ##a = y(x)##, ##b = y'(x)##, and ##c = x##. If you want to know how this changes when you let ##y(x) = y_0(x) + \epsilon y_1(x)##, you do the following:
$$
\frac{df}{d\epsilon} = \frac{\partial f}{\partial a} \frac{da}{d\epsilon} + \frac{\partial f}{\partial b} \frac{db}{d\epsilon} + \frac{\partial f}{\partial c} \frac{dc}{d\epsilon}.
$$
Here, ##a##, ##b##, and ##c## are just placeholders for the functions that are going to go into this. What ##\partial f/\partial a## really means is "the derivative of ##f## with respect to the first argument. In order not to have to write down dummy variables like this, we usually just write ##f(y,y',x)## and by ##\partial f/\partial y## we mean the derivative of ##f## with respect to its first argument and so on. Inserting ##a = y(x)##, ##b = y'(x)##, and ##c = x## gives you the correct result and ##da/d\epsilon = y_1##, ##db/d\epsilon = y'_1##, and ##dc/d\epsilon = 0##. The fact that ##y'_1## is not independent of ##y_1## encodes the fact that ##y'## is not independent of ##y##.

To take an analogy to usual multivariable calculus, consider the function ##f(x,y) = xy##. If we let ##x## and ##y## depend on a parameter ##t##, we find that
$$
\frac{df}{dt} = x' \partial_x f + y' \partial_y f = x' y + y' x.
$$
If we now assume that ##y = x^2##, we would find ##y' = 2xx'## and inserting this into the above would give
$$
\frac{df}{dt} = x' x^2 + 2xx' x = 3 x^2 x',
$$
the very same result as we would get if we had inserted ##y = x^2## into ##f## before differentiating, so it is consistent with ##y## being dependent on ##x##.
 
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