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[Paper Review] Homogeneous Metrics with nonnegative curvature

Lorenz Schwachhöfer, Kristopher Tapp|ArXiv.org|Apr 23, 2008
Geometric Analysis and Curvature Flows8 references4 citations
TL;DR

This paper investigates G-invariant Riemannian metrics on homogeneous spaces G/H with nonnegative sectional curvature, focusing on curvature-preserving deformations via inverse-linear paths that scale the metric along intermediate subalgebras. The key contribution is a sufficient condition—based on Lie bracket control—under which such deformations preserve nonnegative curvature, with symmetric pairs (K,H) guaranteeing curvature nonnegativity for t ∈ (−∞, 1/4], yielding new examples of nonnegatively curved homogeneous metrics.

ABSTRACT

Given compact Lie groups H\subset G, we study the space of G-invariant metrics on G/H with nonnegative sectional curvature. For an intermediate subgroup K between H and G, we derive conditions under which enlarging the Lie algebra of K maintains nonnegative curvature on G/H. Such an enlarging is possible if (K,H) is a symmetric pair, which yields many new examples of nonnegatively curved homogeneous metrics. We provide other examples of spaces G/H with unexpectedly large families of nonnegatively curved homogeneous metrics.

Motivation & Objective

  • To classify G-invariant metrics on G/H with nonnegative sectional curvature beyond the normal homogeneous metric.
  • To understand how enlarging the metric along an intermediate subalgebra K (H ⊂ K ⊂ G) affects curvature.
  • To derive sufficient conditions under which such metric deformations preserve nonnegative curvature.
  • To extend known results on curvature preservation in Riemannian submersions and Cheeger deformations.
  • To provide new examples of nonnegatively curved homogeneous spaces using symmetric pair structures.

Proposed method

  • Uses inverse-linear paths of inner products on the orthogonal complement 𝔪 ⊕ 𝔰 of 𝔥 in 𝔤, parameterized by t, to deform the metric.
  • Applies Cheeger’s method to show the solution space of nonnegatively curved metrics is star-shaped around the normal metric.
  • Derives curvature variation formulas inspired by Müter’s power series for inverse-linear paths.
  • Analyzes the metric deformation g_t that scales the 𝔪-component by (1−t)⁻¹ while keeping the 𝔰-component fixed.
  • Establishes a necessary and sufficient condition for nonnegative curvature: ||[Xᵐ,Yᵐ]ᵐ|| ≤ C·||[X,Y]|| for all X,Y ∈ 𝔭.
  • Proves that if (K,H) is a symmetric pair, then g_t has nonnegative curvature for all t ∈ (−∞, 1/4], including t=1/4.

Experimental results

Research questions

  • RQ1Under what conditions does an inverse-linear deformation of the normal metric on G/H preserve nonnegative sectional curvature?
  • RQ2Can the curvature remain nonnegative when the metric is scaled along an intermediate subalgebra 𝔨?
  • RQ3What structural properties of the pair (K,H) ensure that the deformed metric g_t remains nonnegatively curved?
  • RQ4Is there a universal upper bound on the scaling parameter t beyond which curvature becomes negative?
  • RQ5How do symmetric pairs (K,H) contribute to constructing new families of nonnegatively curved homogeneous metrics?

Key findings

  • The inverse-linear path g_t preserves nonnegative curvature for small t > 0 if and only if ||[Xᵐ,Yᵐ]ᵐ|| ≤ C·||[X,Y]|| for all X,Y ∈ 𝔭.
  • When (K,H) is a symmetric pair, the metric g_t has nonnegative curvature for all t ∈ (−∞, 1/4], with t=1/4 being sharp.
  • The scaling factor 4/3 at t=1/4 matches known upper bounds in Hopf fibrations and coset fibrations, suggesting universality.
  • For H trivial, nonnegative curvature is preserved under metric deformation only if the semi-simple part of 𝔨 is an ideal in 𝔤.
  • The hypothesis ||Xᵐ ∧ Yᵐ|| ≤ C·||[X,Y]|| ensures that arbitrary Ad_H-invariant metrics close to g₀ with adjusted 𝔪-metric remain nonnegatively curved.
  • A contradiction argument proves that no sequence of unit vectors can make [X_n,Y_n] → 0 under the given constraints, confirming curvature preservation in the G₂/SU(3) case.

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This review was created by AI and reviewed by human editors.