Equivariant map

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In vector calculus, a vector potential is a vector field whose curl is a given vector field. This is analogous to a scalar potential, which is a scalar field whose gradient is a given vector field.

Formally, given a vector field v, a vector potential is a vector field A such that

v=×A.

If a vector field v admits a vector potential A, then from the equality

(×A)=0

(divergence of the curl is zero) one obtains

v=(×A)=0,

which implies that v must be a solenoidal vector field.

Theorem

Let

v:33

be a solenoidal vector field which is twice continuously differentiable. Assume that v(x) decreases sufficiently fast as ||x||→∞. Define

A(x)=14π×3v(y)xydy.

Then, A is a vector potential for v, that is,

×A=v.

A generalization of this theorem is the Helmholtz decomposition which states that any vector field can be decomposed as a sum of a solenoidal vector field and an irrotational vector field.

Nonuniqueness

The vector potential admitted by a solenoidal field is not unique. If A is a vector potential for v, then so is

A+m

where m is any continuously differentiable scalar function. This follows from the fact that the curl of the gradient is zero.

This nonuniqueness leads to a degree of freedom in the formulation of electrodynamics, or gauge freedom, and requires choosing a gauge.

See also

References

  • Fundamentals of Engineering Electromagnetics by David K. Cheng, Addison-Wesley, 1993.