# nLab divergence

### Context

#### Riemannian geometry

Riemannian geometry

## Applications

#### Differential geometry

differential geometry

synthetic differential geometry

# Contents

## Definition

In Riemannian geometry, the divergence of a vector field $X$ over a Riemannian manifold $\left(M,g\right)$ is the real valued smooth function $\mathrm{div}\left(X\right)$ defined by

$\mathrm{div}\left(X\right)={\star }_{g}^{-1}{d}_{\mathrm{dR}}{\star }_{g}g\left(X\right),$div(X) = \star_g^{-1} d_{dR} \star_g g(X) ,

where ${\star }_{g}$ is the Hodge star operator of $\left(M,g\right)$,

${\star }_{g}:{\Omega }^{i}\left(M;ℝ\right)\to {\Omega }^{\mathrm{dim}M-i}\left(M;ℝ\right),$\star_g\colon \Omega^i(M;\mathbb{R}) \to \Omega^{dim M-i}(M;\mathbb{R}) ,

and ${d}_{\mathrm{dR}}$ is the de Rham differential.

Alternatively, the divergence of a vector field $𝒜$ in some point $x\in M$ is calculated (or alternatively defined) by the integral formula

$\mathrm{div}\stackrel{⇀}{𝒜}={\mathrm{lim}}_{\mathrm{vol}D\to 0}\frac{1}{\mathrm{vol}D}{\oint }_{\partial D}\stackrel{⇀}{n}\cdot \stackrel{⇀}{𝒜}dS$div \vec\mathcal{A} = lim_{vol D\to 0} \frac{1}{vol D} \oint_{\partial D} \vec{n}\cdot \vec\mathcal{A} d S

where $D$ runs over the domains with smooth boundary $\partial D$ containing point $x$ and $\stackrel{⇀}{n}$ is the unit vector of outer normal to the surface $S$. The formula does not depend on the shape of boundaries taken in limiting process, so one can typically take a coordinate chart and balls with decreasing radius in this particular coordinate chart.

Although an orientation is required for the usual notion of Hodge star as given above, we may take it as valued in pseudoforms to show that the orientation (or even orientability) of $M$ is irrelevant (since the Hodge star is applied twice, returning us to untwisted forms). The metric is hidden in the volume form and in the “dot product”.

## Example

If $\left(M,g\right)$ is the Cartesian space ${ℝ}^{n}$ endowed with the canonical Euclidean metric, then the divergence of a vector field ${X}^{i}{\partial }_{i}$ is

$\mathrm{div}\left(X\right)=\sum _{i=1}^{n}\frac{\partial {X}^{i}}{\partial {x}^{i}}.$div(X) = \sum_{i=1}^n\frac{\partial X^i}{\partial x^i} .

## Remarks

The divergence was first developed in quaternion analysis, where its opposite appeared most naturally, called the convergence $\mathrm{con}\left(X\right)=-\mathrm{div}\left(X\right)$. In many applications of the divergence to the successor field, classical vector analysis?, the metric is irrelevant and we may use differential forms instead: we translate a vector field $X$ into the $\left(n-1\right)$-form ${\star }_{g}g\left(X\right)$ and a scalar field $f$ into the $n$-form ${\star }_{g}f$, so that the divergence is simply the de Rham differential, and simply use the differential forms from the start.

Revised on June 25, 2012 01:20:00 by Andrew Stacey (80.203.115.55)