Difference between revisions of "Divergence"
(New page! (One of many that will be needed to do Maxwell's equations correctly.)) |
m |
||
| Line 1: | Line 1: | ||
The '''divergence''' is a way of expressing a certain type of derivative of a [[vector field]]. It is typically a field of 3-dimensional vectors defined on 3-dimensional space, but other dimensions are possible. The divergence of a vector field is a [[scalar field]], that is, just a number at each point in space. | The '''divergence''' is a way of expressing a certain type of derivative of a [[vector field]]. It is typically a field of 3-dimensional vectors defined on 3-dimensional space, but other dimensions are possible. The divergence of a vector field is a [[scalar field]], that is, just a number at each point in space. | ||
| − | The divergence is written as though it were the [[dot product]] of the special symbol "<math>\nabla</math>" (which is commonly called "del" or "nabla") with the given vector field, like this: <math>\nabla \cdot \vec V</math>. This is usually pronounced "div V" or "del dot V". | + | The divergence is written as though it were the [[dot product]] of the special symbol "<math>\nabla</math>" (which is commonly called "del" or "nabla"), with the given vector field, like this: <math>\nabla \cdot \vec V</math>. This is usually pronounced "div V" or "del dot V". |
In ordinary [[Cartesian coordinates]], the divergence is calculated as: | In ordinary [[Cartesian coordinates]], the divergence is calculated as: | ||
Revision as of 00:34, June 8, 2007
The divergence is a way of expressing a certain type of derivative of a vector field. It is typically a field of 3-dimensional vectors defined on 3-dimensional space, but other dimensions are possible. The divergence of a vector field is a scalar field, that is, just a number at each point in space.
The divergence is written as though it were the dot product of the special symbol "<math>\nabla</math>" (which is commonly called "del" or "nabla"), with the given vector field, like this: <math>\nabla \cdot \vec V</math>. This is usually pronounced "div V" or "del dot V".
In ordinary Cartesian coordinates, the divergence is calculated as:
- <math>\nabla \cdot \vec V = \frac{\partial V_x}{\partial x} + \frac{\partial V_y}{\partial y} + \frac{\partial V_z}{\partial z}</math>
or, using suitable notation,
- <math>\nabla \cdot \vec V = \sum_{i=1}^3 \frac{\partial V_i}{\partial x_i}</math>
If one thinks of <math>\nabla</math> as being a fictional vector field with components <math>(\frac{\partial}{\partial x}, \frac{\partial}{\partial y}, \frac{\partial}{\partial z})</math>, one can sort of see that the dot product notation makes sense.
The divergence is a true vector field operation—the result is independent of the coordinate system that is used. The divergence is an extremely important operation in physics, mathematics, and engineering. It is perhaps most famous for its appearance in Maxwell's Equations.
Intuitively, the divergence measures the degree to which the vector field is diverging from a given point. If you were to measure the divergence of the vector field of wind speed in the vicinity of a meteorological high pressure area, it would be positive, because the net motion of air is outward. If measured near a low pressure area, the divergence would be negative.