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

Click For Summary
SUMMARY

The discussion centers on the independence of variables in calculus of variations, specifically regarding the Euler equation. It establishes that while y, y' (the derivative of y), and x are treated as independent variables, their interdependence is revealed during the computation of variations. The discussion emphasizes the necessity of taking partial derivatives with respect to each variable and highlights that the inner derivatives reflect the dependencies among the variables. This understanding is crucial for accurately applying the principles of calculus of variations and thermodynamics.

PREREQUISITES
  • Understanding of calculus of variations
  • Familiarity with Euler's equation
  • Knowledge of partial derivatives
  • Basic concepts of thermodynamics and potential functions
NEXT STEPS
  • Study the derivation and applications of Euler's equation in calculus of variations
  • Explore the concept of partial derivatives in multivariable calculus
  • Learn about the relationship between different thermodynamic potentials
  • Investigate the implications of variable dependencies in optimization problems
USEFUL FOR

Students and professionals in mathematics, physics, and engineering who are working with calculus of variations, thermodynamics, or optimization techniques will benefit from this discussion.

SSDdefragger
Messages
5
Reaction score
0
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.
 
Physics news on Phys.org
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##.
 
  • Like
Likes   Reactions: SSDdefragger

Similar threads

  • · Replies 1 ·
Replies
1
Views
3K
  • · Replies 12 ·
Replies
12
Views
3K
  • · Replies 3 ·
Replies
3
Views
3K
  • · Replies 4 ·
Replies
4
Views
2K
  • · Replies 3 ·
Replies
3
Views
2K
  • · Replies 6 ·
Replies
6
Views
3K
  • · Replies 8 ·
Replies
8
Views
899
  • · Replies 4 ·
Replies
4
Views
1K
  • · Replies 6 ·
Replies
6
Views
2K
  • · Replies 9 ·
Replies
9
Views
2K