Alphabeta Math
DefinitionDefinition: AI-adaptedProof: Not applicablePipeline-generatedprecheck passjudge pass (gpt-5.6-terra)audited 2026-09-14
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 ACω. Let MmMm+1 be a hypersurface of positive dimension m1, equipped with a supplied smooth unit normal field ν. At each pM, the shape operator Sν,p:TpMTpM 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

{κ1(p),,κm(p)},

are the principal curvatures at p; 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 ν are

Kext:=detSν=i=1mκi,Hν:=1mtrSν=1mi=1mκi.

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 Sν are smooth and trace and determinant are polynomial in those coefficients.

Normal-linearity in Shape operator gives Sν=Sν. Therefore reversing the normal negates every principal curvature and Hν, while

Kext(ν)=det(Sν)=(1)mKext(ν).

The assumption ACω 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 1/m is undefined, and degenerate metrics are outside the Riemannian hypothesis.

Depends on

Used by

Dependency tree · two levels

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Sources