What is the relationship between variational calculus and integration by parts?

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In summary, the integration by parts is applied to the second term and the partial derivative commutes with the delta, resulting in the rearranged equation.
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Travis091
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I'm reading a book - and I've been stuck for a while on the same page. This is only a calculus question. We have the action:

[tex]S=\int d^4x \;\mathcal{L}[/tex]

with the Lagrangian (density):

[tex]\mathcal{L}=\mathcal{L}(\phi,\dot{\phi},\nabla\phi)[/tex]

We then vary S:

[tex]\delta S = \int d^4x \left[\frac{\partial \mathcal{L}}{\partial \phi}\delta\phi + \frac{\partial \mathcal{L}}{\partial (\partial_\mu \phi)} \delta(\partial_\mu \phi)\right] [/tex]

which is all fine and dandy, but now the next line says:
[tex] = \int d^4 x \left[\frac{\partial \mathcal{L}}{\partial \phi}-\partial_\mu \left(\frac{\partial \mathcal{L}}{\partial (\partial_\mu\phi)} \right) \right]\delta \phi + \partial_\mu \left(\frac{\partial \mathcal{L}}{\partial(\partial_\mu\phi)} \delta \phi\right)[/tex]

Something like integration by parts must have befallen the second term...but I don't see it. I'm very inadequate in variational calculus, the mere sight of [itex]\delta[/itex] throws me off.

So what happened there between the two lines? Thanks
 
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Indeed it is integration by parts. By the chain rule we have:

[tex]\partial_\mu\left(\frac{\partial\mathcal{L}}{\partial(\partial_ \mu\phi)}\delta\phi\right)=\partial_\mu\left(\frac{\partial\mathcal{L}}{\partial( \partial_\mu\phi)}\right)\delta\phi+\frac{\partial\mathcal{L}}{ \partial(\partial _\mu\phi)}\partial_\mu(\delta\phi)[/tex]

The only additional step you need then is to know that the partial derivative commutes with the ##\delta## so that the above equation can be rearranged to:

[tex]\frac{\partial\mathcal{L}}{\partial(\partial_ \mu\phi)}\delta(\partial_\mu\phi)=\partial_\mu\left(\frac{\partial \mathcal{L}}{\partial(\partial_\mu\phi)}\delta\phi\right)-\partial_\mu\left(\frac{\partial\mathcal{L}}{\partial(\partial _\mu\phi)}\right)\delta\phi[/tex]
 
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What is the calculus of variations?

The calculus of variations is a branch of mathematics that deals with finding the most optimal function or path that minimizes or maximizes a given functional. It is used to solve problems where the goal is to find the best possible solution from a set of possible solutions.

What are some real-world applications of the calculus of variations?

The calculus of variations has many practical applications in physics, engineering, economics, and other fields. It is used to solve problems such as finding the shortest path between two points, minimizing energy consumption in a system, and optimizing the shape of objects for better performance.

How is the calculus of variations different from traditional calculus?

The main difference between the calculus of variations and traditional calculus is that in traditional calculus, we are interested in finding the maxima and minima of a function, whereas in the calculus of variations, we are interested in finding the function itself that minimizes or maximizes a given functional.

What are the key concepts in the calculus of variations?

Some of the key concepts in the calculus of variations include the functional, which is a mathematical expression that depends on a function, the Euler-Lagrange equation, which is used to find the extremal of a functional, and the boundary conditions, which are constraints on the function that determine its behavior at the boundaries of the domain.

Is the calculus of variations difficult to learn?

The calculus of variations can be challenging to learn, as it requires a good understanding of traditional calculus, as well as some knowledge of differential equations. However, with enough practice and patience, it can be mastered like any other mathematical concept.

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