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{{about|the general concept in the mathematical theory of vector fields|the vector potential in electromagnetism|Magnetic vector potential|the vector potential in fluid mechanics|Stream function}}
 
In [[vector calculus]], a '''vector potential''' is a [[vector field]] whose [[Curl (mathematics)|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
:<math> \mathbf{v} = \nabla \times \mathbf{A}. </math>
 
If a vector field '''v''' admits a vector potential '''A''', then from the equality
:<math>\nabla \cdot (\nabla \times \mathbf{A}) = 0</math>
([[divergence]] of the [[Curl (mathematics)|curl]] is zero) one obtains
:<math>\nabla \cdot \mathbf{v} = \nabla \cdot (\nabla \times \mathbf{A}) = 0,</math>
which implies that '''v''' must be a [[solenoidal vector field]].  
 
==Theorem==
Let
:<math>\mathbf{v} : \mathbb R^3 \to \mathbb R^3</math>
be a [[solenoidal vector field]] which is twice [[smooth function|continuously differentiable]]. Assume that '''v'''('''x''') decreases sufficiently fast as ||'''x'''||→∞. Define
 
:<math> \mathbf{A} (\mathbf{x}) = \frac{1}{4 \pi} \nabla \times \int_{\mathbb R^3} \frac{ \mathbf{v} (\mathbf{y})}{\left\|\mathbf{x} -\mathbf{y} \right\|} \, d\mathbf{y}. </math>
Then, '''A''' is a vector potential for '''v''', that is,
:<math>\nabla \times \mathbf{A} =\mathbf{v}. </math>
 
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
 
:<math> \mathbf{A} + \nabla m </math>
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 [[Gauge fixing|choosing a gauge]].
 
== See also ==
* [[Fundamental theorem of vector analysis]]
* [[Magnetic potential]]
* [[Solenoid]]
 
== References ==
* ''Fundamentals of Engineering Electromagnetics'' by David K. Cheng, Addison-Wesley, 1993.
 
[[Category:Concepts in physics]]
[[Category:Potentials]]
[[Category:Vector calculus]]

Revision as of 05:26, 7 March 2013

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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.