pith. sign in

arxiv: 2605.04302 · v1 · submitted 2026-05-05 · 🧮 math.NA · cs.CC· cs.NA· math.AG

Rigid homotopies for sampling from algebraic varieties: a Waring structure complexity model

Pith reviewed 2026-05-08 17:06 UTC · model grok-4.3

classification 🧮 math.NA cs.CCcs.NAmath.AG
keywords rigid homotopiesWaring representationshomotopy continuationpolynomial systemsalgebraic varietiescomplexity boundsnumerical algebraic geometry
0
0 comments X

The pith

Rigid homotopies have lower complexity bounds for polynomial systems that have Waring representations of a prescribed length.

A machine-rendered reading of the paper's core claim, the machinery that carries it, and where it could break.

The paper proves a new complexity result for rigid homotopy continuation methods when the input polynomial systems admit Waring representations of a fixed prescribed length. This structure means each polynomial can be expressed as a sum of a controlled number of powers of linear forms. A sympathetic reader would care because standard homotopy methods for sampling points on algebraic varieties often suffer from high path counts, and the Waring condition lets the rigid variant improve the bound. The authors also supply the first computational experiments with a preliminary implementation to show the method works in practice.

Core claim

For polynomial systems with Waring representations of prescribed length, rigid homotopies provide a new complexity result that improves on general bounds, together with the first implementation and experiments that test the approach on concrete examples.

What carries the argument

Waring representations of prescribed length, which express each polynomial as a sum of a fixed number of powers of linear forms and thereby control the number of paths tracked by the rigid homotopy.

If this is right

  • Rigid homotopies track fewer paths when the Waring length is fixed.
  • Sampling from the solution varieties of such systems becomes feasible at larger scales.
  • The result specializes prior average-case polynomial-time homotopy algorithms to this structured subclass.
  • Initial experiments confirm that the theoretical bound translates to observable runtime gains.

Where Pith is reading between the lines

These are editorial extensions of the paper, not claims the author makes directly.

  • A preprocessing step that computes or enforces a short Waring length could precondition a wider range of systems for faster rigid homotopy use.
  • Similar structure-based bounds may exist for other polynomial representations such as sparsity patterns.
  • Hybrid solvers that first find a Waring decomposition and then apply rigid continuation could be tested on benchmark problems from applications.

Load-bearing premise

The polynomial systems must admit Waring representations of a prescribed fixed length.

What would settle it

A polynomial system that has a Waring representation of the prescribed length yet requires more homotopy paths or time than the stated complexity bound allows.

Figures

Figures reproduced from arXiv: 2605.04302 by Abigail R. Jones, Jose Israel Rodriguez, Kisun Lee.

Figure 1
Figure 1. Figure 1: Eight rigid homotopy solution paths where view at source ↗
Figure 2
Figure 2. Figure 2: Estimates of γ 2 Frob(f, ζ) for fixed (n, D). Left: raw data. Right: the same data with the largest 15 values removed. 23 view at source ↗
Figure 3
Figure 3. Figure 3: An illustration of a root tracked along a rigid homotopy path for two random view at source ↗
read the original abstract

Polynomial system solving has seen major progress in both theory and practice over the past decade. A landmark achievement was addressing Smale's 17th problem, establishing average-case polynomial-time algorithms for computing approximate solutions of polynomial systems via homotopy continuation. Recent improvements in complexity bounds for these algorithms led to the development of rigid homotopy methods. In this article, we prove a new complexity result for rigid homotopies for polynomial systems with Waring representations of prescribed length. In addition, we provide the first computational experiments for rigid homotopies using a preliminary implementation.

Editorial analysis

A structured set of objections, weighed in public.

Desk editor's note, referee report, simulated authors' rebuttal, and a circularity audit. Tearing a paper down is the easy half of reading it; the pith above is the substance, this is the friction.

Referee Report

0 major / 3 minor

Summary. The manuscript proves a new complexity result for rigid homotopy continuation methods applied to polynomial systems that admit Waring representations of a prescribed fixed length. It additionally presents preliminary computational experiments using a new implementation of rigid homotopies for sampling from the associated algebraic varieties.

Significance. If the stated complexity improvement holds under the Waring-structure hypothesis, the work supplies a concrete complexity model that exploits algebraic structure to improve upon general rigid-homotopy bounds. This could be useful in numerical algebraic geometry for structured systems arising in applications. The preliminary experiments constitute the first reported computational tests of rigid homotopies and therefore provide initial practical evidence, though they remain limited in scope.

minor comments (3)
  1. The abstract asserts a 'new complexity result' without stating the explicit bound or the precise improvement factor relative to the unstructured case; adding the main theorem statement or a quantitative comparison would strengthen the summary.
  2. The experimental section provides only preliminary results; additional details on the test systems (degree, number of variables, Waring length), implementation platform, and timing/error metrics would improve reproducibility and allow readers to assess the practical gain.
  3. Notation for the Waring decomposition length and the rigid-homotopy path is introduced without a dedicated preliminary section; a short table or diagram summarizing the structured versus unstructured complexity expressions would aid clarity.

Simulated Author's Rebuttal

0 responses · 0 unresolved

We thank the referee for the positive and accurate summary of our manuscript on rigid homotopies for polynomial systems admitting prescribed-length Waring representations. We appreciate the recommendation for minor revision and the recognition that the work provides a complexity model exploiting algebraic structure along with the first computational tests of rigid homotopies.

Circularity Check

0 steps flagged

No significant circularity; derivation is a self-contained theoretical proof

full rationale

The paper establishes a new complexity bound for rigid homotopies on the subclass of polynomial systems that admit Waring decompositions of prescribed fixed length. This is presented as a direct mathematical proof under an explicit structural hypothesis, without fitting parameters to data, re-deriving quantities by construction, or relying on load-bearing self-citations whose validity depends on the current work. The preliminary experiments are described as supporting evidence rather than the source of the complexity claim. No step in the stated derivation chain reduces to an input by definition or renames a fitted result as a prediction.

Axiom & Free-Parameter Ledger

0 free parameters · 0 axioms · 0 invented entities

Abstract-only review supplies no explicit free parameters, axioms, or invented entities. The work rests on prior results about homotopy continuation and Waring decompositions whose details are not visible here.

pith-pipeline@v0.9.0 · 5395 in / 1041 out tokens · 37742 ms · 2026-05-08T17:06:02.004040+00:00 · methodology

discussion (0)

Sign in with ORCID, Apple, or X to comment. Anyone can read and Pith papers without signing in.

Reference graph

Works this paper leans on

31 extracted references · 27 canonical work pages

  1. [1]

    Beltr\'an and A

    C. Beltr\'an and A. Leykin , Robust certified numerical homotopy tracking , Found. Comput. Math., 13 (2013), pp. 253--295. https://doi.org/10.1007/s10208-013-9143-2 DOI

  2. [2]

    Beltr\'an and L

    C. Beltr\'an and L. M. Pardo , On S male's 17th problem: a probabilistic positive solution , Found. Comput. Math., 8 (2008), pp. 1--43. https://doi.org/10.1007/s10208-005-0211-0 DOI

  3. [3]

    Beltr\'an and L

    C. Beltr\'an and L. M. Pardo , Fast linear homotopy to find approximate zeros of polynomial systems , Found. Comput. Math., 11 (2011), pp. 95--129. https://doi.org/10.1007/s10208-010-9078-9 DOI

  4. [4]

    Beltr\'an and M

    C. Beltr\'an and M. Shub , Complexity of B ezout's theorem. VII . D istance estimates in the condition metric , Found. Comput. Math., 9 (2009), pp. 179--195. https://doi.org/10.1007/s10208-007-9018-5 DOI

  5. [5]

    L. Blum, F. Cucker, M. Shub, and S. Smale , Complexity and real computation , Springer-Verlag, New York, 1998. With a foreword by Richard M. Karp, https://doi.org/10.1007/978-1-4612-0701-6 DOI

  6. [6]

    L. Blum, M. Shub, and S. Smale , On a theory of computation and complexity over the real numbers: NP -completeness, recursive functions and universal machines , Bulletin of the American Mathematical Society, 21 (1989), pp. 1--46. https://www.ams.org/journals/bull/1989-21-01/S0273-0979-1989-15750-9/S0273-0979-1989-15750-9.pdf URL

  7. [7]

    B\"urgisser and F

    P. B\"urgisser and F. Cucker , On a problem posed by S teve S male , Ann. of Math. (2), 174 (2011), pp. 1785--1836. https://doi.org/10.4007/annals.2011.174.3.8 DOI

  8. [8]

    B\"urgisser, F

    P. B\"urgisser, F. Cucker, and P. Lairez , Rigid continuation paths II . structured polynomial systems , Forum Math. Pi, 11 (2023), pp. Paper No. e12, 44. https://doi.org/10.1017/fmp.2023.7 DOI

  9. [9]

    T. Duff, C. Hill, A. Jensen, K. Lee, A. Leykin, and J. Sommars , Solving polynomial systems via homotopy continuation and monodromy , IMA J. Numer. Anal., 39 (2019), pp. 1421--1446. https://doi.org/10.1093/imanum/dry017 DOI

  10. [10]

    T. Duff, K. Kohn, A. Leykin, and T. Pajdla , PLMP --point-line minimal problems in complete multi-view visibility , IEEE Transactions on Pattern Analysis and Machine Intelligence, 46 (2023), pp. 421--435. https://doi.org/10.1109/TPAMI.2023.3324728 DOI

  11. [11]

    T. Duff, V. Korotynskiy, T. Pajdla, and M. Regan , Using monodromy to recover symmetries of polynomial systems , in Proceedings of the 2023 International Symposium on Symbolic and Algebraic Computation, 2023, pp. 251--259. https://doi.org/10.1145/3597066.3597106 DOI

  12. [12]

    T. Duff, V. Korotynskiy, T. Pajdla, and M. H. Regan , Galois/monodromy groups for decomposing minimal problems in 3D reconstruction , SIAM Journal on Applied Algebra and Geometry, 6 (2022), pp. 740--772. https://doi.org/10.1137/21M1422872 DOI

  13. [13]

    Duff and K

    T. Duff and K. Lee , Certified homotopy tracking using the K rawczyk method , in I SSAC '24--- P roceedings of the 2024 I nternational S ymposium on S ymbolic and A lgebraic C omputation, ACM, New York, [2024] 2024, pp. 274--282. https://doi.org/10.1145/3666000.3669699 DOI

  14. [14]

    Duff and K

    T. Duff and K. Lee , Certifying galois/monodromy actions via homotopy graphs , (2026). https://arxiv.org/abs/2603.17288 arXiv: 2603.17288

  15. [15]

    Algebraic Statistics , author =

    B. Finkel, J. I. Rodriguez, C. Wu, and T. Yahl , Activation degree thresholds and expressiveness of polynomial neural networks , Algebr. Stat., 16 (2025), pp. 113--130. https://doi.org/10.2140/astat.2025.16.113 DOI

  16. [16]

    Frigo, S

    M. Frigo and S. G. Johnson , The design and implementation of FFTW3 , Proceedings of the IEEE, 93 (2005), pp. 216--231. Special issue on ``Program Generation, Optimization, and Platform Adaptation'', https://doi.org/10.1109/JPROC.2004.840301 DOI

  17. [17]

    Guillemot , Certified algebraic path tracking with A lgpath , ACM Communications in Computer Algebra, 59 (2025), pp

    A. Guillemot , Certified algebraic path tracking with A lgpath , ACM Communications in Computer Algebra, 59 (2025), pp. 53--56. https://doi.org/10.1145/3787957.3787960 DOI

  18. [18]

    Guillemot and P

    A. Guillemot and P. Lairez , Validated numerics for algebraic path tracking , in I SSAC '24--- P roceedings of the 2024 I nternational S ymposium on S ymbolic and A lgebraic C omputation, ACM, New York, [2024] 2024, pp. 36--45. https://doi.org/10.1145/3666000.3669673 DOI

  19. [19]

    J. D. Hauenstein and A. C. Liddell, Jr. , Certified predictor-corrector tracking for N ewton homotopies , J. Symbolic Comput., 74 (2016), pp. 239--254. https://doi.org/10.1016/j.jsc.2015.07.001 DOI

  20. [20]

    Kileel, M

    J. Kileel, M. Trager, and J. Bruna , On the expressive power of deep polynomial neural networks , in Advances in Neural Information Processing Systems, vol. 32, Curran Associates, Inc., 2019. https://proceedings.neurips.cc/paper_files/paper/2019/file/a0dc078ca0d99b5ebb465a9f1cad54ba-Paper.pdf URL

  21. [21]

    Algebraic Statistics , author =

    K. Kubjas, J. Li, and M. Wiesmann , Geometry of polynomial neural networks , Algebr. Stat., 15 (2024), pp. 295--328. https://doi.org/10.2140/astat.2024.15.295 DOI

  22. [22]

    Lairez , A deterministic algorithm to compute approximate roots of polynomial systems in polynomial average time , Found

    P. Lairez , A deterministic algorithm to compute approximate roots of polynomial systems in polynomial average time , Found. Comput. Math., 17 (2017), pp. 1265--1292. https://doi.org/10.1007/s10208-016-9319-7 DOI

  23. [23]

    Lairez , Rigid continuation paths I

    P. Lairez , Rigid continuation paths I . Q uasilinear average complexity for solving polynomial systems , J. Amer. Math. Soc., 33 (2020), pp. 487--526. https://doi.org/10.1090/jams/938 DOI

  24. [24]

    A priori bounds for certified

    K. Lee , A priori bounds for certified krawczyk homotopy tracking , (2025). https://arxiv.org/abs/2512.01355 arXiv: 2512.01355

  25. [25]

    Lee and X

    K. Lee and X. Tang , On the polyhedral homotopy method for solving generalized N ash equilibrium problems of polynomials , Journal of Scientific Computing, 95 (2023), p. 13. https://doi.org/10.1007/s10915-023-02138-0 DOI

  26. [26]

    Lindberg, C

    J. Lindberg, C. Am \'e ndola, and J. I. Rodriguez , Estimating G aussian mixtures using sparse polynomial moment systems , SIAM Journal on Mathematics of Data Science, 7 (2025), pp. 224--252. https://doi.org/10.1137/23M1610082 DOI

  27. [27]

    Lindberg, A

    J. Lindberg, A. Zachariah, N. Boston, and B. Lesieutre , The distribution of the number of real solutions to the power flow equations , IEEE Transactions on Power Systems, 38 (2022), pp. 1058--1068. https://doi.org/10.1109/TPWRS.2022.3170232 DOI

  28. [28]

    Moses and V

    W. Moses and V. Churavy , Instead of rewriting foreign code for machine learning, automatically synthesize fast gradients , in Advances in Neural Information Processing Systems, H. Larochelle, M. Ranzato, R. Hadsell, M. F. Balcan, and H. Lin, eds., vol. 33, Curran Associates, Inc., 2020, pp. 12472--12485. https://proceedings.neurips.cc/paper/2020/file/933...

  29. [29]

    W. S. Moses, V. Churavy, L. Paehler, J. H\" u ckelheim, S. H. K. Narayanan, M. Schanen, and J. Doerfert , Reverse-mode automatic differentiation and optimization of GPU kernels via E nzyme , in Proceedings of the International Conference for High Performance Computing, Networking, Storage and Analysis, SC '21, New York, NY, USA, 2021, Association for Comp...

  30. [30]

    Shub , Complexity of B ezout's theorem

    M. Shub , Complexity of B ezout's theorem. VI . G eodesics in the condition (number) metric , Found. Comput. Math., 9 (2009), pp. 171--178. https://doi.org/10.1007/s10208-007-9017-6 DOI

  31. [31]

    Smale , Mathematical problems for the next century , in Mathematics: frontiers and perspectives, Amer

    S. Smale , Mathematical problems for the next century , in Mathematics: frontiers and perspectives, Amer. Math. Soc., Providence, RI, 2000, pp. 271--294. https://bookstore.ams.org/mfp-s/ URL