Local diffeomorphism Created 2026-09-24 Updated 2026-10-14
A local diffeomorphism is a differentiable map that restricts near every point to a diffeomorphism onto an open subset of its target. The local inverse functions need not combine into a single global inverse function: different parts of the domain of a function can map onto the same output region.
For continuously differentiable maps between open subsets of , being a local diffeomorphism is equivalent to having an invertible derivative at every point. The inverse function theorem proves one direction. For the other, the chain rule for each local inverse function gives two inverse linear maps. The periodic angle example under the inverse function theorem has this property everywhere, even though it has infinitely many inputs for every point of the punctured plane. The noninjective map with constant Jacobian determinant gives another useful distinction: even a constant nonzero Jacobian determinant need not give global injectivity.
Every local diffeomorphism is an open map. To see this, take an open subset of the source and intersect it with the neighbourhoods where the map is a diffeomorphism. Each local image is open, and their union is the full image. Thus nearby outputs remain available locally, despite the possible global ambiguity.
Past exam of the mathematics course of the University of Cambridge 2012 iii Paper 7 1 f Solution Created 2026-10-03 Updated 2026-10-07
The displayed estimate has two independent defects. Even for , its right side cannot use . At , choose nonnegative smooth functions with compact support and prescribe . This is a legitimate transported solution with . The proposed inequality would requireVelocity dilation makes arbitrarily large, while the other factors stay fixed. Thus no universal works with the same-time mixed Lebesgue norm.
There is a second issue after replacing by : the Jacobian determinant bounds give a local diffeomorphism, not necessarily a one-to-one map. Suppose additionally that is injective. With , the change of variables formula and giveSurjectivity is not needed because the domain of integration can be enlarged. With injectivity, the corrected estimate has . The upper bound is unnecessary.
More generally, dispersion with a nonlinear velocity map uses the area formula to sum over inverse branches. Define the weighted inverse multiplicityIf , the same argument gives the corrected estimate with . At most inverse branches give . Thus the missing global assumption concerns multiplicity, not merely local volume distortion.
For a noninjective map with constant Jacobian determinant giving a counterexample in two dimensions, write and setThe polar coordinates calculation gives , yet for every integer . To turn this into a failure of the estimate, take a small open disk about that avoids the origin. For each of inverse branches over , choose a smooth cutoff supported on that branch, where has support strictly inside and is extended by zero. These velocity supports are disjoint. SetThen , independent of , whereas at a fixed and suitable ,The last integral is positive and independent of . No finite exists for this fixed , although . In one dimension, by contrast, a nonvanishing derivative has a constant sign, so the lower derivative bound makes a global diffeomorphism.