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June 1, 20260 citationsOpen Access

The Hierarchical Constrained Variant Method: A Universal Exactification Framework for Intractable Problems

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MYMenggang Yu

Key Points

  • This research aims to establish a comprehensive understanding of the sphere packing problem's complexity and solutions.
  • Integrated results from five prior studies on sphere packing.
  • Analyzed variations of the problem with different constraint levels.
  • Demonstrated mathematical transformation of problem complexity.
  • Proved the unconstrained sphere packing problem is NP-complete.
  • With orthogonal tubular code, the problem becomes polynomial-time solvable, reducing point count to 2000.
  • With added constraints, the solution reduces to a constant-time solvable case with a unique solution: 1836.

Abstract

The sphere packing problem asks for the maximum number of points that can be placed on the unit sphere S² such that the pairwise distance is no less than 1°. This problem has remained unsolved for over a century, and its exact value remains unknown. This paper does not solve the problem in isolation. Rather, it integrates the results of five prior papers to present the complete theoretical picture of sphere packing. We prove: unconstrained, the problem is NP-complete; upon imposing the orthogonal tubular code constraint, the problem becomes polynomial-time solvable, with the point count compressed to approximately two thousand; upon further imposing covering completeness and the orbital closure condition, the problem becomes constant-time solvable, with the solution uniquely determined as 1836. Constraint strength serves as an order parameter, driving a complete phase transition of computational complexity from NP-complete to constant-time solvable. 1836 is the unique limit solution at the constraint saturation state—it is the exact solution of the strongly constrained variant of sphere packing, the global attractor in the continuous constraint space, and the constraint limit point. This paper establishes a complete mathematical bridge for the sphere packing problem, from "unsolvable" to "solvable."

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Cite This Study

Menggang Yu (2026) studied this question.

synapsesocial.com/papers/6a1d228d02fbce9130638561https://doi.org/10.5281/zenodo.20453338
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