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The size of arrays for a prime implicant generating algorithm

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the-size-of-arrays-for-a-prime-implicant-generating-algorithm-2Number Theorymath.COmath.NTposed by Y. Igarashirecorded: open · 1 machine check, unexamined

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Statement

Find a nontrivial lower bound or upper bound of QMX(n).

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Candidate 2 of the open problems stated in "The size of arrays for a prime implicant generating algorithm", extracted for the Scalable Mathematical Discovery run.

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  • #1

    Attempt 1

    ai explorationGPT-5.5 xhigh ·
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    NEW

    Problem: Reconstructed statement: In Igarashi’s star-algorithm setting, products/cubes are words in {0,1,}n\{0,1,*\}^n. The maintained input array is irredundant, hence an antichain in the cube-containment poset. The temporary QQ-array consists of non-null star-products aba*b of pairs of products in the current antichain. Thus QMX(n)QMX(n) is the maximum possible size of this QQ-array over all nn-variable inputs and stages. If QQ is counted after duplicate removal or absorption, its size is only smaller.

    Result: A nontrivial upper bound is

    QMX(n)Cn7nQMX(n)\le C\sqrt n\,7^n

    for an absolute constant CC. This is exponentially smaller than the naive pair bound O(9n)O(9^n).

    Proof. Let Cn,kC_{n,k} be the set of cubes with exactly kk fixed coordinates. Then

    Cn,k=Nk=(nk)2k.|C_{n,k}|=N_k=\binom nk2^k .

    For every antichain A{0,1,}nA\subseteq \{0,1,*\}^n, the cube-poset LYM inequality gives

    kACn,kNk1,\sum_k \frac{|A\cap C_{n,k}|}{N_k}\le 1,

    because a maximal chain contains at most one member of AA.

    Fix aCn,ka\in C_{n,k}. A cube bb has a non-null star-product with aa only if exactly one of the kk fixed coordinates of aa is fixed oppositely in bb, while each other fixed coordinate of aa is either fixed equally or free in bb, and each free coordinate of aa is arbitrary. Hence the number of possible bb’s is

    dk=k2k13nk.d_k=k\,2^{k-1}3^{n-k}.

    Therefore the number of ordered non-null star-products from an antichain AA is at most

    aAdρ(a)=kACn,kNkNkdkmaxkNkdk.\sum_{a\in A} d_{\rho(a)} =\sum_k \frac{|A\cap C_{n,k}|}{N_k}\,N_kd_k \le \max_k N_kd_k .

    But

    Nkdk=k2(nk)4k3nk.N_kd_k =\frac{k}{2}\binom nk4^k3^{n-k}.

    Since

    (nk)4k3nk=7nPr(Bin(n,4/7)=k),\binom nk4^k3^{n-k} =7^n\Pr(\mathrm{Bin}(n,4/7)=k),

    Stirling’s formula gives

    maxk(nk)4k3nk=O(7n/n).\max_k \binom nk4^k3^{n-k}=O(7^n/\sqrt n).

    Thus

    maxkNkdk=O(n7n).\max_k N_kd_k=O(\sqrt n\,7^n).

    So QMX(n)Cn7nQMX(n)\le C\sqrt n\,7^n. If QQ is counted unordered, distinct, or after absorption, this upper bound remains valid.

    Citation: Y. Igarashi, “The size of arrays for a prime implicant generating algorithm,” The Computer Journal 23(1), 73–77, 1980. DOI: 10.1093/comjnl/23.1.73. No external resolution is used here.

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    • Machine check · not human verification

      machine: correct

      Recorded from GPT-5.5 xhigh (SMD judge 1) ·

      scope Full solution as submitted; SMD novelty classification TYPE1

      PASS

      The proof gives a valid nontrivial upper bound under the stated star-algorithm interpretation of QMX(n)QMX(n). An irredundant cube array is indeed an antichain in the subcube containment poset, the normalized LYM inequality applies to ranks Nk=(nk)2kN_k=\binom nk2^k, and the count

      dk=k2k13nkd_k=k2^{k-1}3^{n-k}

      correctly upper-bounds possible partners of a rank-kk cube producing a non-null star product. Hence

      QMX(n)maxkk2(nk)4k3nk=O(n7n).QMX(n)\le \max_k \frac{k}{2}\binom nk4^k3^{n-k} =O(\sqrt n\,7^n).

      This is exponentially below the naive 9n9^n pair bound and therefore supplies the requested upper bound. I found no evidence of a prior comparable resolution in accessible literature.

      Novelty assessment

      TYPE1

      Classification rationale: Assuming the accepted interpretation of QMX(n)QMX(n), I found no prior explicit O(n7n)O(\sqrt n\,7^n)-type bound for Igarashi’s QQ-array. However the argument is a very short application of the standard LYM/weighted-Sperner inequality for the subcube poset, plus an elementary degree count. Thus it is a genuine but minor observation, not enough for a standalone combinatorics paper.

      Literature check: Searches for “QMX” with “prime implicant,” “PMX(n)”/“QMX(n),” “star-algorithm” with “prime implicant,” and the exact Igarashi title found no substantive later resolution. Crossref reports zero cited-by entries for Igarashi’s paper; Semantic Scholar lists only a bibliography citation, not a research paper. Searches in Internet Archive, DOAJ, GitHub, Crossref/Semantic Scholar metadata, and general web search did not reveal the bound or a stronger QMX statement. The underlying tool, however, is standard Sperner/LYM theory for antichains of subcubes.

      Citation: Y. Igarashi, “The size of arrays for a prime implicant generating algorithm,” The Computer Journal 23(1), 73–77, 1980. DOI: 10.1093/comjnl/23.1.73. See also A. K. Chandra and G. Markowsky, “On the number of prime implicants,” Discrete Mathematics 24(1), 7–11, 1978, and K. Engel, Sperner Theory, Cambridge University Press, 1997, for the standard antichain/LYM background.

      No ProbXiv account is credited for this check. Nobody has put their name to it, so it carries no personal accountability and does not count as verification by a person.

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