How do vector functions behave under transformations for symmetry?

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Symmetry in a system is defined by the invariance of a scalar function under a transformation, where g(x) equals g(F(x)). For vector functions, a system is symmetric if all observables maintain this symmetry under transformations. The behavior of vector components varies with the type of transformation; for translations, components should remain invariant, while for rotations, they should rotate accordingly. The general principle is that a vector function is symmetric if the integral of the function remains unchanged across transformations like linear, rotational, or gauge transformations. Understanding these concepts may require revisiting calculus of variations and Noether's theorem for deeper insights.
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Hi,

How does one define symmetry of a system?

I believe that a scalar function g(\vec x) is called symmetric under a transformation \vec F(\vec x) if and only if g(\vec x) = g(\vec F(\vec x))

If there is an equivalent criteria for vector functions, I would be inclined to define a system as symmetric under a transformation if all its observables are symmetric under this transformation. Is that correct?




However, how does a vector function need to behave in order to be called symmetric? If the transformation is just a translation in space, we we want all the cartesian components to be invariant, just like individual scalar functions. On the other hand, if the transformation is a rotation, we want the cartesian components to rotate accordingly. But what is the general pattern here? How do the components of a vector valued function have to transform under a general transformation, in order for the function to be called symmetric under this transformation?
 
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Symmetry is defined by invariance of the integral of a function over a transformation. (i.e. linear, rotation, gauge, etc.) If the integral does not change over these transformations, then it is invariant, and the function is said to have that kind of symmetry. (i.e. translational symmetry, rotational symmetry, gauge symmetry.) I suggest that you read about calculus of variations, and then about invariance and Noether's theorem.
 
zush said:
Symmetry is defined by invariance of the integral of a function over a transformation. (i.e. linear, rotation, gauge, etc.) If the integral does not change over these transformations, then it is invariant, and the function is said to have that kind of symmetry. (i.e. translational symmetry, rotational symmetry, gauge symmetry.) I suggest that you read about calculus of variations, and then about invariance and Noether's theorem.

Could you be more specific? What is "the integral of a function over a transformation"?

I think I am reasonably familiar with calculus of variations and Noether's theorem, but maybe I should refresh my memory because I don't see how either would help me with my question. Could you give more concrete references?
 
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