Journals / Constructive Mathematical Analysis / 2026 / Volume: 9 Issue: 3

Finite-rank kernel realization and completion

James Tian(Mathematical Reviews)0000-0003-4996-1227
Pages
—
Publication Date
2026-09-15
🏛️Bibliographic metadata and full text access for this article are provided via DergiPark.
DergiPark Record ↗
✨

AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

We also give a rank bound for finite completions obtained by joining two completed pieces along their common feature subspace.

📌 3 Key Takeaways

🎯
Objective & Hypothesis:We consider when local finite-rank positive definite kernels come from a single global finite-rank kernel.
📊
Key Findings & Data:In that setting, rank-preserving completion becomes a unitary patching problem on overlap generated subspaces.
💡
Conclusion & Impact:We also give a rank bound for finite completions obtained by joining two completed pieces along their common feature subspace.
🔬Design:Research Article
📍Scope:Comprehensive Sample
⚙️Variables:Positive definite kernels · finite-rank kernels · Kolmogorov factorization

Abstract

We consider when local finite-rank positive definite kernels come from a single global finite-rank kernel. The first part treats the case where the global kernel is fixed and shows that the missing mixed blocks control when a global rank-$r$ realization exists and how rank grows when it does not. The second part treats the completion problem, where only local kernels are given. In that setting, rank-preserving completion becomes a unitary patching problem on overlap generated subspaces. Forests always patch, full overlaps are governed by cycle conditions for the induced unitaries, and partial overlaps lead to finite-dimensional subspace compatibility conditions. We also give a rank bound for finite completions obtained by joining two completed pieces along their common feature subspace.

🔖

Cite This Article

Tian, J. (2026). Finite-rank kernel realization and completion. Constructive Mathematical Analysis, Volume: 9 Issue: 3. https://doi.org/10.33205/cma.1942507

📄 Full Text PDF Viewer

📄

PDF görüntüleyici hazırlanıyor...

References (29)

  1. N. Aronszajn: Theory of reproducing kernels, Trans. Amer. Math. Soc., 68 (1950), 337–404.
  2. A. Aydın, A. Gheondea: Probability error bounds for approximation of functions in reproducing kernel Hilbert spaces, J. Funct. Spaces, 15 (2021), Article ID: 6617774.
  3. F. Bach: Sharp analysis of low-rank kernel matrix approximations, ArXiv, https://arxiv.org/abs/1208.2015
  4. M. Bakonyi, H. Woerdeman: Matrix completions, moments, and sums of Hermitian squares, Princeton University Press, Princeton, New Jersey (2011).
  5. W. Barrett, C. Johnson and P. Tarazaga: The real positive definite completion problem for a simple cycle Linear Algebra Appl., 192 (1993), 3–31.
  6. W. Barrett, C. Johnson and M. Lundquist: Determinantal formulae for matrix completions associated with chordal graphs, Linear Algebra Appl., 121 (1989), 265-289.
  7. M. Booth, P. Hackney, B. Harris, C. Johnson, M. Lay, L. Mitchell, S. Narayan, A. Pascoe, K. Steinmetz, B. Sutton and W. Wang: On the minimum rank among positive semidefinite matrices with a given graph, SIAM J. Matrix Anal. Appl., 30 (2008), 731–740.
  8. D. Cichoń, J. Stochel and F. Szafraniec: Extending positive definiteness, Trans. Amer. Math. Soc., 363 (2011), 545–577.
  9. D. Cichoń, J. Stochel and F. Szafraniec: Riesz-Haviland criterion for incomplete data, J. Math. Anal. Appl., 380 (2011), 94–104.
  10. J. Dancis: Positive semidefinite completions of partial Hermitian matrices, Linear Algebra Appl., 175 (1992), 97–114.
  11. M. E.-Nagy, M. Laurent and A. Varvitsiotis: Complexity of the positive semidefinite matrix completion problem with a rank constraint, Discrete Geometry And Optimization, 69 (2013), 105–120.
  12. M. Ghaemi, M. Moslehian and Q. Xu: Kolmogorov decomposition of conditionally completely positive definite kernels, Positivity, 25 (2021), 515–530.
  13. S. Gribling, D. Laat and M. Laurent: Matrices with high completely positive semidefinite rank, Linear Algebra Appl., 513 (2017), 122–148.
  14. R. Grone, C. Johnson, E. Sá and H. Wolkowicz: Positive definite completions of partial Hermitian matrices, Linear Algebra Appl., 58 (1984), 109–124.
  15. J. Helton, D. Lam and H.Woerdeman: Sparsity patterns with high rank extremal positive semidefinite matrices, SIAM J. Matrix Anal. Appl., 15 (1994), 299–312.
  16. T. Hofmann, B. Schölkopf and A. Smola: Kernel methods in machine learning Ann. Statist., 36 (2008), 1171–1220.
  17. Z. Jabłoński, J. Stochel and F. Szafraniec: Unitary propagation of operator data, Proc. Edinb. Math. Soc., 50 (3) (2007), 689–699.
  18. C. Johnson: Matrix completion problems: a survey, Matrix Theory And Applications (Phoenix, AZ, 1989), 40 (1990), 171–198.
  19. M. Journée, F. Bach, P. Absil and R. Sepulchre: Low-rank optimization on the cone of positive semidefinite matrices, SIAM J. Optim., 20 (2010), 2327–2351.
  20. S. Kim, M. Kojima, M. Mevissen and M. Yamashita: Exploiting sparsity in linear and nonlinear matrix inequalities via positive semidefinite matrix completion, Math. Program., 129 (2011), 33–68.
  21. M. Laurent, A. Varvitsiotis: A new graph parameter related to bounded rank positive semidefinite matrix completions. Math. Program., 145 (2014), 291–325.
  22. M. Moslehian: Conditionally positive definite kernels in Hilbert $C^*$-modules, Positivity. 21 (2017), 1161–1172.
  23. G. Murphy: Positive definite kernels and Hilbert $C^∗$-modules, Proc. Edinburgh Math. Soc. (2), 40 (1997), 367–374.
  24. B. Sturmfels, C. Uhler: Multivariate Gaussian, semidefinite matrix completion, and convex algebraic geometry, Ann. Inst. Statist. Math., 62 (2010), 603–638.
  25. F. Szafraniec: The reproducing kernel Hilbert space and its multiplication operators, Complex Analysis And Related Topics (Cuernavaca, 1996), 114 (2000), 253–263.
  26. F. Szafraniec: Composition in reproducing kernel Hilbert spaces à Rebours, Operator And Matrix Theory, Function Spaces, And Applications, 295 (2024), 365–384.
  27. F. Szafraniec: Interpolation and domination by positive definite kernels, Complex Analysis—fifth Romanian-Finnish Seminar, Part 2 (Bucharest, 1981), 1014 (1983), 291–295.
  28. K. Waghmare, V. Panaretos: The completion of covariance kernels, Ann. Statist., 50 (2022), 3281–3306.
  29. K.Waghmare, V. Panaretos: The positive-definite completion problem, Trans. Amer. Math. Soc., 377 (2024), 6549–6594.