Undergrad Variational operator in the least action principle

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The discussion centers on the distinction between the variational operator δ in the least action principle and the differential operator d. The variational operator δ represents a functional differential, indicating a change in the action S due to small variations, while d is used for standard differentiation. Participants clarify that the rules of differentiation apply to functional derivatives, allowing for similar treatment as regular functions. The conversation highlights the importance of understanding these differences for proper application in physics. Overall, grasping the nuances between δ and d is crucial for correctly applying the least action principle.
Haorong Wu
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the difference between the variational operator ##\delta## in ##\delta S=0## and the differential operator ##d##
Hello. Since I learned the least action principle several years ago, I cannot figure out the difference between the variational operator ##\delta## in ##\delta S=0## and the differential operator ##d## in, say ##dS##.

Everytime I encountered the variational operator, I just treated it as a differential operator and everything worked out.

I understand that ##\delta S=\tilde S - S## means the change due to a small variation of the action ##S##, but isn't that just the meaning of differentiation?
 
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Haorong Wu said:
Summary:: the difference between the variational operator ##\delta## in ##\delta S=0## and the differential operator ##d##

Hello. Since I learned the least action principle several years ago, I cannot figure out the difference between the variational operator ##\delta## in ##\delta S=0## and the differential operator ##d## in, say ##dS##.

Everytime I encountered the variational operator, I just treated it as a differential operator and everything worked out.

I understand that ##\delta S=\tilde S - S## means the change due to a small variation of the action ##S##, but isn't that just the meaning of differentiation?

##\delta S## is a functional differential. See here

https://mathworld.wolfram.com/FunctionalDerivative.html

http://www.physics.usu.edu/Wheeler/QFT2016/Notes/QFT09FunctionalDerivatives.pdf
 
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Haorong Wu said:
Hi, @PeroK. Could I treat a functional as a function, and a function in the functional as a variable so that I could apply every rules for function derivatives to functional derivatives? It seems to work quite well to me.
Yes, the idea is that all the familiar rules of differentiation apply to the functional derivative. One point to note is that for discrete variables we have:
$$\frac{\partial x_i}{\partial x_j} = \delta_{ij}$$
And for a continuous functional derivative we have:
$$\frac{\delta f(x)}{\delta f(y)} = \delta(x-y)$$
 
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PeroK said:
Yes, the idea is that all the familiar rules of differentiation apply to the functional derivative. One point to note is that for discrete variables we have:
$$\frac{\partial x_i}{\partial x_j} = \delta_{ij}$$
And for a continuous functional derivative we have:
$$\frac{\delta f(x)}{\delta f(y)} = \delta(x-y)$$
I get it now. Thanks, @PeroK.
 
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