concept

gauge invariance

Gauge invariance is a symmetry principle where physical laws remain unchanged under certain transformations.
25 related articles · 1 formulas · 2 who worked here

Description

Gauge invariance is a rule by which certain changes in the description of particles do not alter the predictions of physics. A direct analogy: if you measure the height of a mountain from sea level or from its base, the mountain itself does not change—similarly in physics, shifting the "reference point" of a field does not affect real effects.

History

The concept of gauge invariance arose from the work of Hermann Weyl in 1918, who attempted to unify gravity and electromagnetism through scale stretching ("gauge"). The modern form of gauge symmetry as local phase invariance was recognized after the advent of quantum mechanics; Vladimir Fock and Fritz London showed that electromagnetic interaction is introduced through the requirement of gauge invariance of the wave function. The development of non-Abelian gauge theories by Chen-Ning Yang and Robert Mills in 1954 led to the creation of quantum chromodynamics. Emmy Noether's 1918 theorem established the connection between symmetries and conservation laws, fundamental for understanding gauge theories.

How it works

Gauge invariance is implemented by replacing the ordinary derivative with a covariant derivative: ∂_μ → D_μ = ∂_μ - i g A_μ, where A_μ is the gauge field, g is the coupling constant. Under a local phase transformation of the wave function ψ → e^{iα(x)}ψ, the gauge field transforms as A_μ → A_μ - (1/g) ∂_μ α(x), which preserves the invariance of the Lagrangian. In non-Abelian symmetry groups, the fields themselves interact with each other, leading to complex dynamics such as confinement in quantum chromodynamics. According to Noether's theorem, gauge symmetry ensures current conservation ∂_μ J^μ = 0 and the corresponding charge.

Fun fact

Thanks to gauge invariance, electric charge is always conserved—nothing can appear out of nothing.

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Formulas

$$\sigma_{\text{total}}^2 = \sigma_1^2 + \sigma_2^2$$
The variance of a sum is the sum of the variances for independent variables.
What is in the formula
\sigma_{\text{total}variableVariance of the sum of two variables — variance
\sigma_1^2variableVariance of the first variable — variance
\sigma_2^2variableVariance of the second variable — variance
σ_{{total}}^2=σ^2+σ_{a,{obs}}^2 · 2607.17932v1

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