How do vector functions behave under transformations for symmetry?

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SUMMARY

The discussion centers on defining symmetry in vector functions under transformations, specifically focusing on scalar functions and their invariance. A scalar function g(𝑥) is symmetric under a transformation 𝑓(𝑥) if g(𝑥) = g(𝑓(𝑥)). For vector functions, symmetry requires that all observables remain invariant under transformations such as translations and rotations. The key takeaway is that a function is symmetric if the integral of the function remains unchanged across transformations, which is linked to concepts like translational symmetry, rotational symmetry, and gauge symmetry. The discussion emphasizes the importance of calculus of variations and Noether's theorem in understanding these principles.

PREREQUISITES
  • Understanding of scalar functions and their symmetry properties
  • Familiarity with vector functions and their transformation behavior
  • Knowledge of calculus of variations
  • Comprehension of Noether's theorem and its implications for symmetry
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  • Study the principles of calculus of variations in detail
  • Explore Noether's theorem and its applications in physics
  • Research the invariance of integrals under various transformations
  • Examine specific examples of translational and rotational symmetry in vector fields
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Physicists, mathematicians, and students studying symmetry in physical systems, particularly those interested in vector calculus and theoretical physics.

Nikratio
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Hi,

How does one define symmetry of a system?

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

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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