# Divergence of a Vector Field and its Sources and Sinks

## Table of contents

- Positive divergence - source of a vector field Here you learn when the vector field in the considered point is a source.
- Negative divergence - sink of a vector field Here you learn when the vector field at the considered location is a sink.
- Divergence is zero - divergence-free vector field Here you learn when the vector field at the considered location is divergence-free.

Divergence \( \nabla \cdot \boldsymbol{F} \) of a vector field \( \boldsymbol{F} \) is defined as the scalar product between the nabla operator \( \nabla \) and the vector field \( \boldsymbol{F} \):

**Definition: Divergence of a vector field**

Here \( F_{\text x} \) is the first, \( F_{\text y} \) second and \( F_{\text z} \) the third component of the following three-dimensional vector field \( \boldsymbol{F}(x,y,z) \):

**Three dimensional vector field**

As discussed in the lesson on Maxwell's equations, the vector field \( \boldsymbol{F} \) can represent, for example, the electric field \( \boldsymbol{E} \) or the magnetic field \( \boldsymbol{B} \).

The result \(\nabla \cdot \boldsymbol{F}\) of the divergence in Eq. 1

is a **scalar function** (no vector quantity anymore)! So, if a concrete place is inserted for \((x,y,z)\), then the scalar function results in a usual number: \(\nabla \cdot \boldsymbol{F}(x,y,z)\). This number is a measure for the divergence of the vector field at the considered location \((x,y,z)\). It can be a positive or negative number or even zero. Depending on whether the number is positive, negative or zero, it has a different physical meaning.

## Positive divergence - source of a vector field

We assume that we have inserted a concrete location \((x,y,z)\) into the divergence field \(\nabla \cdot \boldsymbol{F}(x,y,z)\) and obtained a positive number:

**Divergence is positive**

Then the considered point \((x,y,z)\) in space is a **source** of the vector field \(\boldsymbol{F}\). If this location is enclosed with an arbitrary surface (e.g. with a cube surface), then the flux of the vector field through this surface is also positive. The vector field points out of the surface.

## Negative divergence - sink of a vector field

Now assume that we have obtained a *negative* number after inserting a concrete location into the divergence field:

**Divergence is negative**

Then the considered location \((x,y,z)\) is a **sink** of the vector field \(\boldsymbol{F}\). If this place is enclosed with an arbitrary surface, then the flux of the vector field through this surface is also negative. The vector field goes *into* the surface.

## Divergence is zero - divergence-free vector field

Now assume that we have obtained zero after inserting a concrete location into the divergence field:

**Divergence is zero**

Then at the location \((x,y,z)\) the considered vector field is *divergence-free*. That means: If this point is enclosed with any surface, then the flux of the vector field through this surface is also zero. The vector field does not point into this surface, but also does not point out. Or there is just as much vector field pointing into the surface as out, so that the two opposite contributions cancel each other out and the divergence is net zero.

In the examples of negative divergence and divergence-free fields, we got out a *constant* divergence that is independent of the location. But the divergence field \(\nabla \cdot \boldsymbol{F}\) must not necessarily result in a constant! They were just simple examples. In general the divergence field depends on all three coordinates: \(\nabla \cdot \boldsymbol{F}(x,y,z)\).

Now you should know how divergence of a vector field is calculated and physically interpreted. This knowledge will help you grasp the Gauss integral theorem, which is incredibly important for understanding Maxwell's equations.