Second-order geometry and Riemannian Newton's method for optimization on the indefinite Stiefel manifold
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arXiv
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| Format: | Preprint |
| Publié: |
2026
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| _version_ | 1866917321426075648 |
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| author | Sato, Hiroyuki |
| author_facet | Sato, Hiroyuki |
| contents | This paper first presents a detailed implementation of Newton's method on the indefinite Stiefel manifold. To this end, an intensive analysis of the second-order geometry of the manifold is performed. Specifically, given the two types of Riemannian metrics on the manifold proposed in existing studies, the Levi-Civita connection is derived using Koszul's formula. To reduce the computational cost, the Hessian of a function on the manifold is computed analytically in detail. Since the resulting Newton's equation is generally difficult to solve in closed form, it is solved in the tangent space using the linear conjugate gradient method. Numerical experiments demonstrate the expected fast local convergence of Newton's method and validate the practical efficiency of the proposed implementation. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2603_07133 |
| institution | arXiv |
| publishDate | 2026 |
| record_format | arxiv |
| spellingShingle | Second-order geometry and Riemannian Newton's method for optimization on the indefinite Stiefel manifold Sato, Hiroyuki Optimization and Control This paper first presents a detailed implementation of Newton's method on the indefinite Stiefel manifold. To this end, an intensive analysis of the second-order geometry of the manifold is performed. Specifically, given the two types of Riemannian metrics on the manifold proposed in existing studies, the Levi-Civita connection is derived using Koszul's formula. To reduce the computational cost, the Hessian of a function on the manifold is computed analytically in detail. Since the resulting Newton's equation is generally difficult to solve in closed form, it is solved in the tangent space using the linear conjugate gradient method. Numerical experiments demonstrate the expected fast local convergence of Newton's method and validate the practical efficiency of the proposed implementation. |
| title | Second-order geometry and Riemannian Newton's method for optimization on the indefinite Stiefel manifold |
| topic | Optimization and Control |
| url | https://arxiv.org/abs/2603.07133 |