In vector calculus, the divergence is an operator that measures the magnitude
of a vector field's source or sink at a given point; the divergence of a vector field is a
(signed) scalar. For a vector field that denotes the velocity of air expanding as it is heated, the divergence of the velocity field would have a positive value
because the air expands. If the air cools and contracts, the divergence is negative.
A vector field that has zero divergence everywhere is called solenoidal.
Definition
Let x, y, z be a system of Cartesian coordinates on a
3-dimensional Euclidean space, and let i, j, k be the
corresponding basis of unit vectors.
The divergence of a continuously differentiable vector
field F = F1 i + F2 j + F3 k is defined
to be the scalar-valued function:

Although expressed in terms of coordinates, the result is invariant under orthogonal
transformations, as the physical interpretation suggests.
The common notation for the divergence ∇·F is a convenient mnemonic, and an abuse of notation, where the dot denotes something just reminiscent of the dot product: take the components of ∇ (see del), apply them to the
components of F, and sum the results.
Physical interpretation
In physical terms, the divergence of a three dimensional vector field is the extent to which the vector field flow behaves
like a source or a sink at a given point. It is a local measure of its "outgoingness"—the extent to which there is more exiting
an infinitesimal region of space than entering it. If the divergence is nonzero at some point then there must be a source or sink
at that position [1]. An alternate but equivalent definition, gives the divergence as the derivative of the net flow of the vector field across the surface of a
small sphere relative to the volume of the sphere. (Note that we
are imagining the vector field to be like the velocity vector field of a fluid (in motion) when we use the terms flow, sink and
so on.) Formally,

where S(r) denotes the sphere of radius r about a point p in R3, and the
integral is a surface integral taken with respect to n, the normal to that
sphere.
In light of the physical interpretation, a vector field with constant zero divergence is called incompressible – in
this case, no net flow can occur across any closed surface.
The intuition that the sum of all sources minus the sum of all sinks should give the net flow outwards of a region is made
precise by the divergence theorem.
Properties
The following properties can all be derived from the ordinary differentiation rules of calculus. Most importantly, the divergence is a linear operator, i.e.

for all vector fields F and G and all real numbers a and
b.
There is a product rule of the following type: if φ is a scalar valued function and
F is a vector field, then

or in more suggestive notation

Another product rule for the cross product of two vector fields F and G
in three dimensions involves the curl and reads as follows:

or

The Laplacian of a scalar field is the
divergence of the field's gradient.
The divergence of the curl of any vector field (in three dimensions) is constant and equal to zero. If a vector field F
with zero divergence is defined on a ball in R3, then there exists some vector field G on the ball with
F = curl(G). For regions in R3 more complicated than balls, this latter statement might be false
(see Poincaré lemma). The degree of failure of the truth of
the statement, measured by the homology of the chain complex

(where the first map is the gradient, the second is the curl, the third is the divergence) serves as a nice quantification of
the complicatedness of the underlying region U. These are the beginnings and main motivations of de Rham cohomology.
Relation with the exterior derivative
One can establish a parallel between the divergence and a particular case of the exterior derivative, when it takes a 2-form
to a 3-form in R3. If we define:

its exterior derivative dα is given by

See also Hodge star operator.
Generalizations
The divergence of a vector field can be defined in any number of dimensions. If

define

For any n, the divergence is a linear operator, and it satisfies the "product rule"

for any scalar-valued function φ.
The divergence can be defined on any manifold of dimension n with a volume form (or density) μ e.g. a Riemannian or Lorentzian manifold. Generalising the construction of a two form for a vectorfield on
, on such a manifold a
vectorfield X defines a n-1 form j = iXμ obtained by
contracting X with μ. The divergence is then the function defined by

Standard formulas for the Lie derivative allow us to reformulate this as

This means that the divergence measures the rate of expansion of a volume element as we let it flow with the vectorfield.
On a Riemannian or Lorentzian manifold the divergence with respect to the metric volume form can be computed in terms of the
Levi Civita connection 

where the second expression is the contraction of the vectorfield valued 1 -form
with itself and the last expression is the
traditional coordinate expression used by physicists.
See also
References
- Brewer, Jess H. (1999-04-07). DIVERGENCE of a Vector Field. Vector Calculus. Retrieved on 2007-09-28.
- Theresa M. Korn; Korn, Granino Arthur. Mathematical Handbook for Scientists
and Engineers: Definitions, Theorems, and Formulas for Reference and Review. New York: Dover Publications, 157-160. ISBN
0-486-41147-8.
External links
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