Finding the Function F in the Euler-Lagrange Equation

In summary, the function F in the homework statement is linear in y and has two solutions in the special case that a=0 and b=1.
  • #1
ephedyn
170
1

Homework Statement


Find the function [tex] F [/tex] in
[tex] J\left[y\right]={\displaystyle \int}_{a}^{b}F\left(x,y,y'\right)\ dx [/tex]
such that the resulting Euler's equation is
[tex] f-\left(-\dfrac{d}{dx}\left(a\left(x\right)u'\right)\right)=0 [/tex]
for [tex] x\in\left(a,b\right) [/tex] where [tex] a\left(x\right) [/tex] and [tex] f\left(x\right) [/tex] are given. Solve the equation in the special case [tex] a=0 [/tex] , [tex] b=1 [/tex] , [tex] a\left(x\right)\equiv 1, f\left(x\right)\equiv 1, u\left(a\right)=A, u\left(b\right)=B [/tex]

Homework Equations



From the Euler-Lagrange equation,

[tex] F_{y}-\dfrac{d}{dx}F_{y'}=0 [/tex]

The Attempt at a Solution



we observe that [tex] F_{y}=f [/tex] and [tex] F_{y'}=-a\left(x\right)u' [/tex] or [tex] F_{y}=-f [/tex] and [tex] F_{y'}=a\left(x\right)u' [/tex] .

[tex] \dfrac{\partial F}{\partial y'}=a\left(x\right)u'\left(x\right) [/tex]
[tex] \dfrac{\partial F}{\partial y}=-f\left(x\right)\implies F\left(x,y,y'\right)=-f\left(x\right)+c_{2}\qquad c_{2}\in\mathbb{R} [/tex]

Suppose [tex] f\left(x\right)\equiv1 [/tex] and [tex] a\left(x\right)\equiv1 [/tex],

[tex] -\dfrac{d}{dx}u'=1\implies u'=-x [/tex]
[tex] u\left(x\right)=-\dfrac{x^{2}}{2} [/tex]
[tex] u\left(a=0\right)=-\dfrac{a^{2}}{2}=0=A [/tex]
[tex] u\left(b=1\right)=-\dfrac{b^{2}}{2}=-\dfrac{1}{2}=B [/tex]

Hence, we have [tex] A=0 [/tex] and [tex] B=-\dfrac{1}{2}. [/tex]

2 questions at this point... Sorry if this sounds silly, but what now? Also, did I get those 2 lines with the partial derivatives correct? How should I go around finding [tex] F [/tex] after that?

Thanks in advance!
 
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  • #2
are you using a as both and integration limit and a different function of x?

ephedyn said:
[tex] \dfrac{\partial F}{\partial y'}=a\left(x\right)u'\left(x\right) [/tex]
[tex] \dfrac{\partial F}{\partial y}=-f\left(x\right)\implies F\left(x,y,y'\right)=-f\left(x\right)+c_{2}\qquad c_{2}\in\mathbb{R} [/tex]

also that implies statement doesn't make sense to me, something better would be
[tex] \frac{\partial F}{\partial y}
=-f(x)
\implies \ F\left(x,y,y')= \ -f(x).y \ + \ g(x,y') [/tex]
for some unknown function g

then you know
[tex] \dfrac{\partial F}{\partial y'}
= \dfrac{\partial }{\partial y'} (-f(x).y \ + \ g(x,y'))
= \frac{\partial g(x,y')}{\partial y'}
= a(x)u'(x)[/tex]
[tex] \implies
g(x,y')
= a(x)u'(x)y' \ + \ h(x)
[/tex]
 
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  • #3
My professor has a very way of writing it, I suppose a(x) and the integration limit x=a refer to different 'a's. Let me read through the rest of your post for a while and think...
 
  • #4
now as for your problem
ephedyn said:
[tex] -\dfrac{d}{dx}u'=1\implies u'=-x [/tex]
[tex] u\left(x\right)=-\dfrac{x^{2}}{2} [/tex]
[tex] u\left(a=0\right)=-\dfrac{a^{2}}{2}=0=A [/tex]
[tex] u\left(b=1\right)=-\dfrac{b^{2}}{2}=-\dfrac{1}{2}=B [/tex]

Hence, we have [tex] A=0 [/tex] and [tex] B=-\dfrac{1}{2}. [/tex]

2 questions at this point... Sorry if this sounds silly, but what now? Also, did I get those 2 lines with the partial derivatives correct? How should I go around finding [tex] F [/tex] after that?

Thanks in advance!

first you should get
[tex] -\dfrac{d}{dx}u'=1\implies u'=-x + c \ , c \in \mathhbb{R}[/tex]
[tex] u\left(x\right)=-\dfrac{x^{2}}{2} + cx + d \ , c,d \in \mathhbb{R}[/tex]

this will allow you to satisfy the given endpoints A & B (you are not meant to be solving for these you are meant to solve for u)
 
  • #5
^Oops I did some very sloppy integration there, all right I think I have enough hints to solve this! Thanks a lot!
 

FAQ: Finding the Function F in the Euler-Lagrange Equation

What is the Euler-Lagrange equation?

The Euler-Lagrange equation is a mathematical equation used to find the extreme values of a certain type of functional, called a variational functional. It is named after Swiss mathematician Leonhard Euler and French mathematician Joseph-Louis Lagrange.

What is the significance of the Euler-Lagrange equation?

The Euler-Lagrange equation is significant because it provides a way to find the most optimal solutions to variational problems, which involve finding the function that minimizes or maximizes a certain quantity. This has applications in many areas of science and engineering, including physics, economics, and control theory.

What is the difference between the Euler-Lagrange equation and the calculus of variations?

The Euler-Lagrange equation is a specific equation used to find the extreme values of a variational functional, while the calculus of variations is a broader mathematical theory that deals with the optimization of functionals. The Euler-Lagrange equation is a fundamental tool in the calculus of variations.

What are some real-world applications of the Euler-Lagrange equation?

The Euler-Lagrange equation has many applications in physics, such as in classical mechanics to find the path of least action and in quantum mechanics to determine the wave function for a quantum system. It is also used in economics to model supply and demand curves and in control theory to optimize control systems.

What are the limitations of the Euler-Lagrange equation?

The Euler-Lagrange equation is limited to variational problems that can be expressed in terms of a single-variable functional. It also assumes that the function being optimized is continuous and has continuous derivatives. Additionally, it may not always have an analytical solution and may require numerical methods for solving more complex problems.

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