Simpler Euler-Lagrange equation

In summary, the conversation discusses the first variation of a functional and how it relates to the stationary solution. It is explained that if the functional is independent of y(x), then the E-L equation can be simplified. However, it is noted that \eta'(x) is not arbitrary due to the boundary conditions, and a constraint and Lagrange multiplier can be introduced to account for this. The conversation concludes with the statement that \frac{\partial L}{\partial y'} = \lambda, which is equivalent to \frac{d}{dt}\frac{\partial L}{\partial y'} = 0.
  • #1
daudaudaudau
302
0
If we have a functional
[tex]
J(y)=\int L(y,y',x)dx
[/tex]

then the first variation is
[tex]
\delta J=\int\left(\frac{\partial L}{\partial y}\eta(x)+\frac{\partial L}{\partial y'}\eta'(x)\right)dx,
[/tex]
where [itex]\eta(x)[/itex] is the variation of the stationary solution. Now, if [itex]L[/itex] is independent of [itex]y(x)[/itex], then [itex]\frac{\partial L}{\partial y}=0[/itex] and I have
[tex]
\delta J=\int\left(\frac{\partial L}{\partial y'}\eta'(x)\right)dx.
[/tex]

At this point, why can't I simply say that [itex]\eta'(x)[/itex] is arbitrary and hence the E-L equation is [itex]\frac{\partial L}{\partial y'}=0[/itex] ?
 
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  • #2
eta-prime is not arbitrary, because eta is zero at both end points. If eta prime were arbitrary then the condition that eta is zero at one boundary would imply that eta at the other boundary is arbitrary and thus not necessarily equal to zero.
 
  • #3
You can also treat the fact that eta-prime is not arbitrary everywhere by introducing a contstraint: The integral of eta-prime over the interval has to be zero. You can then introduce a Lagrange multiplier to take that into acount and you then find that:


[tex]\frac{\partial L}{\partial y'} = \lambda[/tex]

which is the same as saying that:

[tex]\frac{d}{dt}\frac{\partial L}{\partial y'} = 0[/tex]
 

What is the Simpler Euler-Lagrange equation?

The Simpler Euler-Lagrange equation is a mathematical equation used in the field of calculus of variations. It is used to find the function that minimizes a given functional. It is a simplified version of the original Euler-Lagrange equation, making it easier to use in certain applications.

What is the difference between the Simpler Euler-Lagrange equation and the original one?

The main difference is that the simpler version only considers the first-order derivatives of the function, while the original equation considers all higher-order derivatives. This makes it easier to solve for the minimizing function, but may not provide as accurate results.

How is the Simpler Euler-Lagrange equation derived?

The Simpler Euler-Lagrange equation is derived by taking the first variation of the functional and setting it equal to zero. This results in a differential equation that can be solved for the minimizing function.

What are some applications of the Simpler Euler-Lagrange equation?

The Simpler Euler-Lagrange equation has applications in various fields such as physics, engineering, economics, and optimization. It is commonly used to solve problems involving minimal surfaces, geodesics, and optimal control.

Are there any limitations to the Simpler Euler-Lagrange equation?

Yes, the simpler version does not take into account higher-order derivatives, which may be necessary for some applications. It also assumes that the functional is convex, which may not always be the case. Additionally, it may not provide the most accurate results compared to the original equation.

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