Variational operator in the least action principle

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Discussion Overview

The discussion centers on the distinction between the variational operator ##\delta## in the context of the least action principle and the differential operator ##d##. Participants explore the implications of treating variational operators as differential operators and the nature of functional derivatives.

Discussion Character

  • Exploratory
  • Technical explanation
  • Conceptual clarification

Main Points Raised

  • One participant expresses confusion about the difference between the variational operator ##\delta## and the differential operator ##d##, suggesting that treating them similarly has worked in practice.
  • Another participant asserts that ##\delta S## is a functional differential and provides links to external resources for further understanding.
  • A question is raised about whether a functional can be treated as a function, allowing the application of standard rules for function derivatives to functional derivatives.
  • It is noted that familiar rules of differentiation apply to functional derivatives, with examples given for discrete and continuous cases.
  • A later reply indicates that the previous explanations have clarified the initial confusion.

Areas of Agreement / Disagreement

Participants generally agree on the applicability of familiar differentiation rules to functional derivatives, but the initial distinction between the variational and differential operators remains a point of exploration without a clear consensus.

Contextual Notes

The discussion involves assumptions about the nature of functionals and their derivatives, which may not be universally accepted or defined in the same way by all participants.

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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