Variation of S with fixed end points

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SUMMARY

The discussion centers on the variation of a functional S with fixed endpoints, specifically addressing the simplification of the variation expression when the perturbation function h(x) is zero at the endpoints. The key equation derived is \(\frac{\delta S}{\delta \gamma} = \frac{\partial{L}}{\partial{y}} - \frac{d}{dx}\frac{\partial{L}}{\partial{y'}}\). The participants clarify that the last term in the variation vanishes due to the fixed endpoints, leading to the conclusion that \(\frac{\delta S}{\delta \gamma}\) represents the functional derivative of S with respect to \(\gamma\).

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Leb
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Not really a homework question, just the notes are confusing me.

Homework Statement


Let S be a functional.

(Given without proof)
If S is differentiable its derivative [itex]\delta S[/itex] is uniquely defined as
[itex]\delta S = \int_{x_{0}}^{x_{1}}\frac{\delta S}{\delta \gamma} \delta \gamma dx[/itex] where [itex]\frac{\delta S}{\delta \gamma}[/itex]

For functional S
[itex]S[\gamma]=\int_{x_{0}}^{x_{1}}L(x,y(x),y'(x))dx[/itex]
the variation is defined by
[itex]\delta S=\int_{x_{0}}^{x_{1}}\left( \frac{\partial{L}}{\partial{y}}-\frac{d}{dx}\frac{\partial{L}}{\partial{y'}}\right)\delta \gamma dx + \left.\frac{\partial{L}}{\partial{y'}}\delta \gamma \right|_{x_{0}}^{x_{1}}[/itex]

Define [itex]\delta \gamma = \epsilon h(x)[/itex] where [itex]\epsilon =const.<< 1[/itex] and h(x) is an arbitrary (perturbation) function.

Now, the notes given by the lecturer say, that if end points are fixed i.e. [itex]h(x_{0})=h(x_{1})=0[/itex] the variation simplifies to

[itex]\frac{\delta S}{\delta \gamma}= \frac{\partial{L}}{\partial{y}}-\frac{d}{dx}\frac{\partial{L}}{\partial{y'}}[/itex]

I do not understand, how do we get this (I get how the last term in the variation vanishes). Is this the functional derivative now or just delta S divided by delta gamma ?

Thanks!
 
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Leb said:
Not really a homework question, just the notes are confusing me.

Homework Statement


Let S be a functional.

(Given without proof)
If S is differentiable its derivative [itex]\delta S[/itex] is uniquely defined as
[itex]\delta S = \int_{x_{0}}^{x_{1}}\frac{\delta S}{\delta \gamma} \delta \gamma dx[/itex] where [itex]\frac{\delta S}{\delta \gamma}[/itex]

For functional S
[itex]S[\gamma]=\int_{x_{0}}^{x_{1}}L(x,y(x),y'(x))dx[/itex]
the variation is defined by
[itex]\delta S=\int_{x_{0}}^{x_{1}}\left( \frac{\partial{L}}{\partial{y}}-\frac{d}{dx}\frac{\partial{L}}{\partial{y'}}\right)\delta \gamma dx + \left.\frac{\partial{L}}{\partial{y'}}\delta \gamma \right|_{x_{0}}^{x_{1}}[/itex]
If [itex]h(x_0)= h(x_1)= 0[/itex], that last term is 0 and the result follows by differentiating both sides.

Define [itex]\delta \gamma = \epsilon h(x)[/itex] where [itex]\epsilon =const.<< 1[/itex] and h(x) is an arbitrary (perturbation) function.

Now, the notes given by the lecturer say, that if end points are fixed i.e. [itex]h(x_{0})=h(x_{1})=0[/itex] the variation simplifies to

[itex]\frac{\delta S}{\delta \gamma}= \frac{\partial{L}}{\partial{y}}-\frac{d}{dx}\frac{\partial{L}}{\partial{y'}}[/itex]

I do not understand, how do we get this (I get how the last term in the variation vanishes). Is this the functional derivative now or just delta S divided by delta gamma ?

Thanks!
 
Thanks for your input.I get how the last term vanishes. But how do you differentiate the first term ? How does [itex]\frac{\delta S}{\delta \gamma}[/itex] appear ?
 
Last edited:

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