How statement and proof provenance work
The first chip identifies the source of the statement or construction; the second identifies the source of its local proof or verification.
- Literature-sourced: the exact statement appears in a cited source; only wording and notation differ.
- AI-adapted: a semantically identical restatement of literature-sourced material, modulo indexing, notation, and boundary cases adopted by the library.
- AI-generated: a genuinely novel statement formulated by AI, with no source for the claim itself.
These labels describe origin, not correctness: citations and verification chips remain separate evidence.
Principal curvatures, Gaussian curvature, and mean curvature of an oriented hypersurface
Definition
Assume . Let be a hypersurface of positive dimension , equipped with a supplied smooth unit normal field . At each , the shape operator is self-adjoint by Weingarten equation and adjointness of the shape operator. Its real eigenvalues, counted with algebraic multiplicity and regarded as an unordered multiset
are the principal curvatures at ; the corresponding eigenspaces are the principal directions. The real spectral theorem supplies an orthonormal eigenbasis at each fixed point, but no smooth ordering of the eigenvalues and no global eigenframe is asserted.
The extrinsic Gaussian curvature (also called Gauss–Kronecker curvature in higher dimension) and the scalar mean curvature with respect to are
Trace and determinant are basis independent, so these functions do not depend on an ordering or eigenbasis. They are smooth even where individual ordered eigenvalue functions need not be smooth, because the matrix coefficients of are smooth and trace and determinant are polynomial in those coefficients.
Normal-linearity in Shape operator gives . Therefore reversing the normal negates every principal curvature and , while
The assumption is inherited exactly through the smooth normal-bundle and shape-operator construction. Applying the finite-dimensional spectral theorem at a supplied point makes no additional family choice. The definitions apply to an empty hypersurface of fixed positive dimension, in dimension one, and at boundary points. Dimension zero is excluded explicitly because the averaging factor is undefined, and degenerate metrics are outside the Riemannian hypothesis.
Depends on
- Codimension and hypersurfaces
- Shape operator
- Weingarten equation and adjointness of the shape operator
- Real spectral theorem: a self-adjoint endomorphism of a finite-dimensional real inner product space has an orthonormal eigenbasis
- The determinant of an endomorphism of a finite-dimensional vector space: its matrix determinant in an ordered basis in positive dimension, and $1$ on the zero space
- The basis-independent trace of an endomorphism of a finite-dimensional vector space
Used by
- Principal curvatures of a round sphere Example
- The catenoid has zero mean curvature but is not totally geodesic Example
- The cylinder has zero Gaussian curvature but nonzero second fundamental form Example
- Christoffel symbols vanishing at one point implies curvature vanishes there False statement
- Euclidean hypersurface sectional curvature from principal curvatures Proposition
Dependency tree · two levels
21 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
- Ved Datar, Lectures on Riemannian Geometry (standard reference, not scraped)
- John M. Lee, Riemannian Manifolds: An Introduction to Curvature (standard reference, not scraped)