Derivation of Euler-Lagrange equation?

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SUMMARY

The discussion centers on deriving the Euler-Lagrange equation for two specific functionals: one for a function of two variables, ##z=z(x,y)##, and another for a function of one variable, ##y=y(x)##. The participants highlight the challenge of incorporating higher-order derivatives, specifically the ##y''## term, in the second problem. A recommended resource is Weinstock's 1974 book, Calculus of Variations with Applications to Physics & Engineering, which covers the multidimensional case. The conversation emphasizes the need for foundational understanding in calculus of variations to tackle these derivations effectively.

PREREQUISITES
  • Understanding of the Euler-Lagrange equation for functionals
  • Familiarity with calculus of variations
  • Knowledge of integration by parts
  • Basic concepts of differential equations
NEXT STEPS
  • Study the derivation of the Euler-Lagrange equation for multidimensional functionals
  • Learn about integration by parts in the context of variational calculus
  • Explore Weinstock's Calculus of Variations with Applications to Physics & Engineering for deeper insights
  • Research online resources or lecture notes on higher-order derivatives in variational problems
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Students in Numerical Methods of ODEs, mathematicians, and anyone interested in the calculus of variations and its applications in physics and engineering.

mizzcriss
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Homework Statement



Problem 1:

Derive the Euler-Lagrange equation for the function ##z=z(x,y)## that minimizes the functional

$$J(z)=\int \int _\Omega F(x,y,z,z_x,z_y)dxdy$$

Problem 2:

Derive the Euler-Lagrange equation for the function ##y=y(x)## that minimizes the functional

$$J(y)=\int_{a}^{b}F(x,y,y',y'')dx$$



Homework Equations



I know the Euler-Lagrange equation for the functional ##J=\int_{a}^{b}F(x,y,y')dx## is ##\frac{\partial f}{\partial y}-\frac{d}{dx}(\frac{\partial f}{\partial y'})##


The Attempt at a Solution



I've found many resources for the derivation of the Euler-Lagrange for ##J=\int_{a}^{b}F(x,y,y')dx## but I don't know how to apply them in order to derive the Euler-Lagrange for my two problems. When I tried to derive it for Problem 2, I couldn't figure out what to do with the ##y''## term.

I'm not asking anyone to give me the complete derivations because I know that would be insanely time consuming to type out :smile: but I don't even know where to begin! This is for a Numerical Methods of ODE's class by the way. I have a final on Tuesday and I know something like this will be on it!
 
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Derive, derive, derive. Do you have a textbook ? The multimensional case is normally covered there, since it's really different than the 1D one. For the second, you should use the easiest proof for one differential (and one variable) and adjust to take into account the appearance of the 2nd derivative.

Weinstock's 1974 Dover published < Calculus of Variations with Applications to Physics & Engineering > is a reccomendable text.
 
Last edited:
To start, thanks for your help! :-)

The textbook used for the class doesn't cover calculus of variation, my professor covered it separately and only derived the simple case. I have tried to apply the simple case directly to my second problem but I don't know what to do with the ##y'## and ##y''## integrals once I've integrated them by parts. I would totally have ordered that book if I had like another week before my final but there's no way I could get it in time for my final :-D

Do you know of any sites that would have anything similar to what I'm trying to do?
 

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