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The riemannian volume density is coordinate independent
Statement
The local Riemannian volume densities glue to a positive smooth density independent of coordinates.
Facts & Assumptions
Given: Overlapping charts with .
Riemannian volume density: The Riemannian volume density is in coordinates. The matrix is that of prop-coordinate-criterion-for-a-riemannian-metric, so its determinant is positive and smooth. The density frames and their absolute-Jacobian law are def-density-bundle-and-smooth-density. In dimension zero take the empty determinant to be one, giving weight one at every point, independently of orientation. The compatibility of these local formulas is proved in lem-the-riemannian-volume-density-is-coordinate-independent.
Coordinate criterion for a riemannian metric: A tensor is Riemannian exactly when its coordinate matrix has smooth entries and is symmetric positive definite. Under it transforms by .
Proof
The metric matrix law gives , hence . Taking positive square roots yields .
This is exactly the density coefficient change, since . Thus the two local sections agree. Their positive smooth coefficients give a global positive smooth density. In dimension zero both determinants are one, and on empty gluing gives the unique section.
Source locator
Lee, Propositions 15.29–15.33 and Corollary 15.34, pp.389–391; density construction and integration pp.428–433.
Depends on
Used by
- Riemannian divergence Definition
- Riemannian volume form on an oriented manifold Definition
- Riemannian volume of a compactly supported smooth density Definition
- Volume density in polar coordinates Example
- Riemannian volume is the radon measure of the riemannian density Proposition
Cited to discharge well-definedness by Riemannian volume density.
Dependency tree · two levels
5 results within two dependency steps of this one, each drawn at its shortest distance from it. An arrow runs from a result to what uses it, so the chart reads left to right and ends at this result, which carries a heavier outline. Every node is a link to that result. Click elsewhere on the chart to enlarge it.
Sources
- John M. Lee, Introduction to Smooth Manifolds, second edition (standard reference, not scraped)