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 , a vector potential is a vector field such that
Consequence
If a vector field
admits a vector potential
, then from the equality
(
divergence of the curl is zero) one obtains
which implies that
must be a solenoidal vector field.
Theorem
Let
be a solenoidal vector field which is twice
smooth function. Assume that
decreases at least as fast as
for
. Define
where
denotes curl with respect to variable
. Then
is a vector potential for
. That is,
The integral domain can be restricted to any simply connected region . That is, also is a vector potential of , where
A generalization of this theorem is the Helmholtz decomposition theorem, which states that any vector field can be decomposed as a sum of a solenoidal vector field and an irrotational vector field.
By analogy with the Biot-Savart law, also qualifies as a vector potential for , where
- .
Substituting (current density) for and (H-field) for , yields the Biot-Savart law.
Let be a star domain centered at the point , where . Applying Poincaré's lemma for differential forms to vector fields, then also is a vector potential for , where
Nonuniqueness
The vector potential admitted by a solenoidal field is not unique. If
is a vector potential for
, then so is
where
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 Gauge fixing.
See also
-
Fundamental theorem of vector calculus
-
Magnetic vector potential
-
Solenoidal vector field
-
Closed and Exact Differential Forms
-
Fundamentals of Engineering Electromagnetics by David K. Cheng, Addison-Wesley, 1993.