Derivations of Euler equations

In summary, the textbook says that Delta is an operation, not a variable, and that it is the infinitesimal change in a function.
  • #1
zwoodrow
34
0
Every textbook i find breezes over the following point:

[tex]\delta[/tex][tex]\partial[/tex] (x) =[tex]\partial[/tex] [tex]\delta[/tex] (x)

where delta is just the variation. Someone asked me why that's true and i guessed the only thing i could say was that delta is an operation not a variable so this is more like an algebraric statement of the commutivity of delta and taking a derivative. Is this right or is there a more clear explanation.
 
Physics news on Phys.org
  • #2
I always view it as follows.
What we do, is changing some function f(x) by an infinitesimal amount, i.e. replace
[tex]f(x) \to f(x) + \delta f(x) \qquad\qquad(*)[/tex]
(and ignore higher order variations).

So in this notation, where delta indicates the infinitesimal change, it should also be true that
[tex]\frac{\partial f(x)}{\partial x} \to \frac{\partial f(x)}{\partial x} + \delta \left(\frac{\partial f(x)}{\partial x} \right) [/tex]
(which is just statement (*) again for another function g(x) = df(x)/dx).

Now if you differentiate (*) you get an equation from which it follows immediately that
[tex]\delta \left(\frac{\partial f(x)}{\partial x} \right) = \frac{\partial(\delta f(x))}{\partial x}[/tex]
 
  • #3
Is there a way to argue that (using the chain rule)
[tex]\partial[/tex]([tex]\delta[/tex]f(x) ) = f(x)[tex]\partial[/tex][tex]\delta[/tex] + [tex]\delta[/tex][tex]\partial[/tex]f(x)
and then argue that[tex]\partial[/tex][tex]\delta[/tex] is a second order differential that can be tossed out as approx 0 giving the result

[tex]\partial[/tex]([tex]\delta[/tex]f(x) ) = [STRIKE]f(x)[tex]\partial[/tex][tex]\delta[/tex][/STRIKE] [tex]\rightarrow[/tex] 0 + [tex]\delta[/tex][tex]\partial[/tex]f(x)
 
  • #4
Not if you want to be rigorous.
Because [itex]\delta[/itex] in itself doesn't mean anything, just like [itex]\partial[/itex] doesn't mean anything.

The object you are looking at is [itex]\delta f(x)[/itex].
If you want to be precise, you can use a first order Taylor expansion
[tex]f(x) \to F(x) = f(a) + f'(a) (x - a) + \mathcal{O}((x - a)^2)[/tex]
where you call [tex]\delta = f'(a) (x - a)[/tex] and neglect the quadratic terms.
 
  • #5


Your explanation is correct. The reason why this statement holds true is because the variation operator, denoted by delta, is a linear operator. This means that it follows the properties of linearity, such as commutativity, which states that the order of operations does not affect the result. In this case, the variation operator is being applied to the partial derivative of a variable, and since it is a linear operator, it can be moved around without affecting the result. This is why we can write the equation as \delta\partial (x) =\partial \delta (x).

Additionally, this statement is a fundamental property in the derivation of the Euler equations. The Euler equations are a set of equations that describe the motion of a fluid, and they are derived using the principle of least action. The variation operator, or delta, is used to represent small changes in the action functional, which is a measure of the total energy of the system. By applying the variation operator to the action functional and setting it equal to zero, we can derive the Euler equations. Thus, the statement \delta\partial (x) =\partial \delta (x) is crucial in the derivation process.

I hope this clarifies the concept for you. If you have any further questions, please do not hesitate to ask.
 

1. What are Euler equations and why are they important in science?

Euler equations are a set of equations that describe the motion of a fluid. They are important in science because they are used to model a wide range of physical phenomena, from weather patterns to the flow of air over a wing.

2. What is the derivation process for Euler equations?

The derivation process for Euler equations involves using the principles of fluid mechanics, such as conservation of mass and momentum, to derive the equations that govern the motion of a fluid.

3. Are Euler equations applicable to all types of fluids?

No, Euler equations are only applicable to ideal fluids, which are fluids that have no viscosity or internal friction. Real fluids, such as air and water, have some level of viscosity and therefore require more complex equations.

4. How do Euler equations differ from Navier-Stokes equations?

Euler equations do not take into account the effects of viscosity, while Navier-Stokes equations do. This means that Euler equations are simpler and easier to solve, but they are not as accurate for real-life situations.

5. What are some practical applications of Euler equations?

Euler equations are used in a variety of fields, including aeronautics, meteorology, and oceanography. They are used to study and design aircraft, predict weather patterns, and model ocean currents.

Similar threads

  • Classical Physics
Replies
5
Views
1K
Replies
1
Views
527
Replies
3
Views
572
  • Classical Physics
Replies
18
Views
1K
  • Classical Physics
Replies
3
Views
2K
Replies
17
Views
2K
  • Classical Physics
Replies
12
Views
4K
  • Advanced Physics Homework Help
Replies
1
Views
975
  • Advanced Physics Homework Help
Replies
6
Views
276
Replies
19
Views
1K
Back
Top