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Trace-free three-dimensional coercivity for the logarithmic gradient
Statement
Let be a three-dimensional real inner-product space and let be symmetric, meaning for all , and trace free, meaning . Write for vectors, , and for any orthonormal basis . The last expression, whose basis independence is proved below, defines the Hilbert–Schmidt norm of .
Then . If and are real numbers and satisfy , and , then for every one has .
In particular, let be a smooth three-dimensional Riemannian manifold, let be smooth, and fix . Identify with , put , and use for the numerical in the preceding hypotheses. Whenever those hypotheses and the vector identity hold at , the same bound controls , including when . The vector identity is an assumption of this application, not a conclusion about arbitrary functions .
Facts & Assumptions
For a linear endomorphism, symmetry is self-adjointness, and a real self-adjoint endomorphism has an orthonormal eigenbasis. Self-adjoint and normal endomorphisms of a finite-dimensional real or complex inner product space Real spectral theorem: a self-adjoint endomorphism of a finite-dimensional real inner product space has an orthonormal eigenbasis
The trace of an endomorphism is the basis-independent trace of its matrix; matrix trace is the sum of the diagonal entries. The basis-independent trace of an endomorphism of a finite-dimensional vector space The trace tr(A) as the sum of the diagonal entries
Use the inner-product norm for vectors and the maximum over unit vectors for the operator norm. The norm ‖ v‖=√⟨ v,v⟩ induced by a real or complex inner product The operator norm is zero on the zero domain and otherwise is max_‖ v‖=1‖ Tv‖
For a smooth function on a Riemannian manifold, for every . The Riemannian gradient is the metric dual of the differential
The real inner product is bilinear and positive definite. Real and complex inner product spaces, with the inner product linear in the first argument
Proof
Given: The symmetric trace-free map, the numerical vector relation, and, for the application, the stated smooth Riemannian data. Goal: Establish both coercivity bounds and their conditional gradient application.
For arbitrary and , set . The assumed symmetry and [F5] give . Taking and using positive definiteness yields . Thus is linear, and its symmetry makes it self-adjoint by [F1]. In particular, its endomorphism trace and operator norm are defined before they are used below.
By [F1], an orthonormal basis exists. For two such bases write . Expanding each in the basis gives , so . This proves that the finite sum defining is basis independent.
By [F1], choose an orthonormal eigenbasis with eigenvalues , ordered so that is largest. In this basis [F2] and trace freeness give , and step 2.1 gives . Since , one obtains . For , , with equality at . Thus [F3] gives .
For vectors and , expanding gives . Apply this to . The numerical hypotheses directly imply and . By [F3] and step 3.1, . Substitution proves the claimed vector bound. Only division by is used; if , then and the argument still applies.
In the stated Riemannian application, positivity and smoothness of make smooth, and [F4] defines in the three-dimensional inner-product space . The assumed pointwise vector identity and bounds therefore satisfy precisely the hypotheses of step 4.1 with the scalar . That step proves the asserted gradient bound, also at . No differential identity has been inferred from the numerical assumptions.
Source notes
The Appendix B reference motivates the trace-free method. Its arcosh argument uses ; the present pointwise algebra divides only by and proves the conditional bound for every .
Depends on
- Real spectral theorem: a self-adjoint endomorphism of a finite-dimensional real inner product space has an orthonormal eigenbasis
- Self-adjoint and normal endomorphisms of a finite-dimensional real or complex inner product space
- The basis-independent trace of an endomorphism of a finite-dimensional vector space
- The trace tr(A) as the sum of the diagonal entries
- The operator norm is zero on the zero domain and otherwise is max_‖ v‖=1‖ Tv‖
- The norm ‖ v‖=√⟨ v,v⟩ induced by a real or complex inner product
- The Riemannian gradient is the metric dual of the differential
- Real and complex inner product spaces, with the inner product linear in the first argument
- Orthogonal vectors and subspaces, orthogonal and orthonormal sets, and orthonormal bases
- Riemannian metric and riemannian manifold
- Alexandru F. Radu, Rigidity of stationary black holes with small ADM angular momentum, arXiv:2610.09729v1 · Appendix B, proof of Lemma B.1, (B.8)–(B.10), printed/PDF pp.38–39
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External dependencies
The proof bounds the square of the largest absolute eigenvalue of the trace-free three-dimensional second fundamental form by its squared norm with coefficient 2/3, then estimates the gradient of arcosh v.
Hypotheses: A spacelike maximal three-dimensional hypersurface, a future unit timelike observer, bounded background coefficients, and v>2 for the arcosh calculation.
Reading limits: Consulted PDF text on pp.38–39 around (B.8)–(B.10); screenshot requests failed. This is methodological background, not an imported all-v theorem. The present proof uses finite-dimensional algebra and an assumed vector identity; it does not differentiate v. Its conditional logarithmic-gradient application and validity at v=1 are established locally. No weighted maximum estimate is imported.
Sources
- Alexandru F. Radu, Rigidity of stationary black holes with small ADM angular momentum, arXiv:2610.09729v1 · Appendix B, proof of Lemma B.1, (B.8)–(B.10), printed/PDF pp.38–39