Explicit Factorization of $x^{p+1}-1$ over $\mathbb{Z}_{p^e}$: A Structural Approach via Dickson Polynomials

📅 2026-04-20
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This work investigates the explicit factorization of the polynomial $x^{p+1} - 1$ over the ring $\mathbb{Z}_{p^e}$ to support the construction of cyclic codes with Hermitian symmetry. By establishing a structural isomorphism between the Hensel lifting process and the root set of an auxiliary polynomial $V(x)$, the study reveals for the first time a deterministic connection to Dickson polynomials and introduces Dickson-Engine, a linear-time algorithm that integrates algebraic structure analysis with Dickson theory to circumvent redundant computations inherent in conventional lifting approaches. As applications, the method yields near-optimal LCD codes over $\mathbb{Z}_{169}$ approaching the Griesmer bound—such as the $[182,1,168]_{13}$ code—and enables efficient quantum error-correcting codes without entanglement resources, while uncovering a “robustness plateau” phenomenon in minimum distance across nontrivial dimensions.

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📝 Abstract
Let $p$ be an odd prime. The factorization of the polynomial $x^{p+1}-1$ over the integer residue ring $\mathbb{Z}_{p^e}$ is pivotal for constructing cyclic codes with Hermitian symmetry, a critical resource for Linear Complementary Dual (LCD) codes and Entanglement-Assisted Quantum Error-Correcting Codes (EAQECC). Traditionally, lifting factorizations relies on the generic Hensel's Lemma, masking the underlying algebraic structure. In this paper, we establish a structural isomorphism between the lifting process and the roots of a special auxiliary polynomial $V(x)$, unveiling a deterministic link to Dickson polynomials. Based on this theory, we develop \texttt{Dickson-Engine}, a linear-time algorithm ($O(ep)$) that outperforms standard libraries by orders of magnitude. Applying this engine to $\mathbb{Z}_{169}$, we explicitly construct a family of classical LCD codes of length $n=182$ via the isometric Gray map. Our search reveals codes with parameters (e.g., $[182, 1, 168]_{13}$ and $[182, 2, 144]_{13}$) that are \textbf{near-optimal} with respect to the theoretical Griesmer Bound. Notably, we discover a ``robustness plateau'' starting from non-trivial dimensions ($k=4$), where the minimum distance remains stable ($d=120$) even as the dimension triples ($k=4 \rightarrow 12$). These codes provide exceptional resources for post-quantum cryptography and quantum error correction without entanglement consumption ($c=0$).
Problem

Research questions and friction points this paper is trying to address.

polynomial factorization
cyclic codes
Hermitian symmetry
LCD codes
EAQECC
Innovation

Methods, ideas, or system contributions that make the work stand out.

Dickson polynomials
explicit factorization
linear-time algorithm
LCD codes
quantum error correction
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