\documentclass[11pt]{article} \usepackage[T1]{fontenc} \usepackage{lmodern,amsmath,amssymb,amsthm,mathtools} \usepackage[margin=27mm]{geometry} \usepackage{hyperref,microtype} \hypersetup{colorlinks=true,linkcolor=blue,citecolor=blue,urlcolor=blue, pdftitle={Degree Transport and a Smaller Cubic Coefficient for Reset Thresholds}, pdfauthor={HONG SUNGBIN}} \newtheorem{theorem}{Theorem} \newtheorem{lemma}[theorem]{Lemma} \newtheorem{corollary}[theorem]{Corollary} \theoremstyle{remark}\newtheorem{remark}[theorem]{Remark} \newcommand{\rt}{\operatorname{rt}} \newcommand{\corank}{\operatorname{corank}} \newcommand{\al}{\frac{8257}{49923}} \title{Degree Transport and a Smaller Cubic Coefficient\\for Reset Thresholds} \author{HONG SUNGBIN\thanks{Human submitting contributor. The research and text were primarily generated by AI; no human verification or understanding of the proof is claimed. See Section~\ref{sec:provenance}.}\\[3pt] \small Department of Electrical and Electronic Engineering\\ \small Faculty of Engineering, The University of Tokyo\\ \small\href{mailto:hongsungbin2@g.ecc.u-tokyo.ac.jp}{\texttt{hongsungbin2@g.ecc.u-tokyo.ac.jp}}\\ \small ORCID: \href{https://orcid.org/0009-0005-6165-714X}{0009-0005-6165-714X}} \date{5 November 2026} \begin{document} \maketitle \begin{abstract} We prove that every synchronizing complete deterministic finite automaton on $n\ge2$ states has reset threshold at most \[ \frac{8242}{49923}n^3+O(n^2). \] The cubic coefficient improves on Shitov's $8257/49923$ by $5/16641$. The main ingredient is a degree-transport inequality for graphs of state pairs mergeable by short words. It relates a long gap between consecutive minimum-rank word lengths to a large corank achievable in at most $n-1$ letters. Combining this relation with a discrete dual of Shitov's counting argument gives the improvement. An appendix makes the quadratic remainder explicit for every $n\ge2$. The argument applies to arbitrary finite alphabets and does not prove the quadratic \v{C}ern\'y conjecture. \end{abstract} \medskip \noindent\textit{2020 Mathematics Subject Classification.} 68Q70. \quad\textit{Keywords.} Synchronizing automaton, reset threshold, \v{C}ern\'y conjecture, merge graph, avoiding word. \section{Introduction and main result} Let $\mathcal A=(Q,\Sigma,\delta)$ be a complete deterministic finite automaton, $|Q|=n$. Words act on the right. The rank of a word $w$ is $|Qw|$ and its corank is $n-|Qw|$. The reset threshold $\rt(\mathcal A)$ is the minimum length of a rank-one word. All constants in $O(\cdot)$ below are absolute and uniform over automata and alphabet sizes. \begin{theorem}\label{thm:main} Every synchronizing complete deterministic finite automaton with $n\ge2$ states satisfies \[ \rt(\mathcal A)\le \frac{8242}{49923}n^3+O(n^2). \] \end{theorem} The comparison coefficient is Shitov's \[ \alpha=\frac7{48}+\frac{15625}{798768}=\frac{8257}{49923}. \] The August 2026 survey \cite[Section 2.1]{survey} records this as the best known general cubic coefficient. The coefficient difference is \[ \alpha-\frac{8242}{49923}=\frac5{16641} =0.000300462712577\ldots . \] The contribution is the transport inequality in Lemma~\ref{lem:transport} and its use in the two-case argument of Section~4. Appendix~\ref{explicit:appendix} gives an explicit uniform bound for the quadratic remainder, valid for every $n\ge2$. A smaller leading coefficient is an asymptotic improvement and does not imply a better numerical bound for every small $n$. No optimality or exhaustive priority claim is made. For $0\le j\le n-1$, let $\lambda_j$ be the minimum length of a word of corank at least $j$. Set $\lambda_n=+\infty$ and $\delta_j=\lambda_{j+1}-\lambda_j$. Thus $\lambda_0=0$ and $\lambda_{n-1}=\rt(\mathcal A)$. If $\delta_j>0$, every minimum $\lambda_j$ word has corank exactly $j$. In Sections~2--4, assume that $\mathcal A$ is strongly connected. Write \[ h=n-1,\qquad D=\max\{\corank(w):|w|\le h\}. \] In particular $\lambda_D\le n-1$. \section{Transport in the merge graph} For an integer $t\ge0$, let $E_t$ be the simple graph on $Q$ with an edge $xy$, $x\ne y$, precisely when a word of length at most $t$ merges $x,y$. Let $\Delta_t$ and $m_t$ be its maximum and minimum degrees. \begin{lemma}[Degree transport]\label{lem:transport} For every $t\ge0$, \[ D\ge \Delta_t-m_{t+h}. \] \end{lemma} \begin{proof} Choose $c$ with degree $\Delta_t$ in $E_t$, and $q$ with degree $m_{t+h}$ in $E_{t+h}$. There is a word $u$ of length at most $h$ taking $q$ to $c$. If $y\in Qu\cap N_{E_t}(c)$, select a preimage $z$ with $zu=y$. A word of length at most $t$ merges $c,y$, so its concatenation after $u$ merges $q,z$ in length at most $t+h$. Here $z\ne q$, and distinct $y$ require distinct $z$. Consequently $|Qu\cap N_{E_t}(c)|\le m_{t+h}$. The image $Qu$ therefore omits at least $\Delta_t-m_{t+h}$ states. Its corank is at most $D$. \end{proof} \begin{lemma}\label{lem:plateaugraphs} Fix $1\le r0$. For every integer $0\le t0$. Its minimum is $1/18$, and \[ \frac1{18}-\frac{873}{16000}=\frac{143}{144000}>0. \] Since $(r+1)(r+2)/2\ge r^2/2$, this proves \eqref{eq:band}. \end{proof} \section{The compression framework and its discrete dual} We use two established bounds. Pin--Frankl \cite{frankl,pin} gives \[ \delta_r\le P_r:=\frac{(r+1)(r+2)}2\quad(0\le r\le n-2). \tag{3}\label{eq:pf} \] Let \[ \rho=\min\{j:\delta_j>n\},\qquad m=\lfloor n/2\rfloor . \] Then $\lambda_\rho\le\rho n2r$. Then $\tau\le\rho$, $\lambda_\tau\le2G_r$, and the singleton-fiber avoidance argument prepends a word of length at most $\lambda_\tau+2r$ to a minimum corank-$r$ target. If $\delta_r=0$ the bound is automatic. This step needs no strong connectivity. For $\rho\le rm/2$. For $i\ge m$, $B_i=0$. Define the nonnegative mass defect \[ P=\rho-\sum_i\min(1,i/\rho)s_i . \] Multiplying the two bounds on $z_r$ by $a_r,b_r$ gives the exact dual estimate \[ \sum_{r=\rho}^{m-1}z_r \le D_n(\rho)-\mu_nP -\sum_{r=\rho}^{m-1}a_r(A_r-z_r), \tag{7}\label{eq:dual} \] where \[ D_n(\rho)=\mu_n\rho+ \sum_{r=\rho}^{g-1} \left(1-\frac{\mu_n}{r(r+1)}\right)\frac{r^2}{4}. \] Here \eqref{eq:bins} bounds $\sum b_rG_r$ by $\mu_n(\rho-P)$. Uniformly for $\beta/2\le x=\rho/n\le\gamma$, \[ D_n(\rho)=n^3F(x)+O(n^2),\qquad F(x)=\frac{5\mu x}{4}-\frac{x^3}{12} +\frac{\gamma^3}{12}-\frac{\mu\gamma}{4}. \tag{8}\label{eq:F} \] To see the uniform error, use $\mu_n=\mu n^2+O(n)$ and \[ D_n(\rho)=\frac{\mu_n(5\rho-g)}4+ \frac14\sum_{r=\rho}^{g-1}r^2+ \frac{\mu_n}4\sum_{r=\rho}^{g-1}\frac1{r+1}. \] The last harmonic sum is uniformly bounded, since $\rho\ge\beta n/2$. Furthermore $F'(x)=(5\mu-x^2)/4$ and $5\mu=\beta^2$. Thus $F$ is maximized at $\beta$, with $F(\beta)=\mathcal M$. In particular \eqref{eq:dual} yields \[ \sum z_r\le\mathcal M n^3-\mu_nP -\sum a_r(A_r-z_r)+O(n^2). \tag{9}\label{eq:central} \] \section{The two cases and all outer ranges} First consider the central range \[ \beta n/2\le\rho\le n/3. \] The maximum short-word corank satisfies $D\le\rho$: if $D>\rho$ then $\lambda_D\ge\lambda_{\rho+1}>\lambda_\rho+n\ge n$, contrary to $\lambda_D\le n-1$. The first $D$ gaps therefore occur among the pre-$\rho$ gaps. A positive gap $\delta_j$ has bin index $\lceil\delta_j/2\rceil\le(\delta_j+1)/2$. In the expression defining $P$, its defect contribution is at least $1-(\delta_j+1)/(2\rho)$; a zero gap contributes one. All remaining contributions are nonnegative. Consequently \[ P\ge D-\frac{\lambda_D+D}{2\rho} \ge D-\frac{n-1+D}{2\rho}=D-O(1), \tag{10}\label{eq:cheapmass} \] uniformly in the central range. If $D\ge n/50$, equations \eqref{eq:reset}, \eqref{eq:central} and \eqref{eq:cheapmass} give \[ \rt(\mathcal A)\le \left(\alpha-\frac{\mu}{25}\right)n^3+O(n^2) =\frac{8242}{49923}n^3+O(n^2). \tag{11}\label{eq:highD} \] Here $\mu_n=\mu n^2+O(n)$ and $\mu/25=5/16641$. If $D\frac{\mu}{25}. \] If $n/3<\rho\le\gamma n$, use \eqref{eq:F} and the fact that $F$ decreases after $\beta$. The deficit is at least \[ 2(F(\beta)-F(1/3))=\frac{186}{79507}>\frac{\mu}{25}. \] Integer roundings change these estimates by $O(n^2)$ only. Finally if $\rho\ge\gamma n$, use Pin--Frankl directly after $\lambda_\rho\frac{\mu}{25}. \] This includes $\rho\ge m$. Appendix~\ref{explicit:appendix} replaces these uniform error terms by numerical bounds and covers all small $n$. \section{Removing strong connectivity} A synchronizing automaton has exactly one closed strongly connected component $C$: two disjoint closed components could never be merged. Let $s=|C|$. Every state outside $C$ reaches $C$ along a path of length at most $n-s$. Starting from the current image, choose an outside state and append such a path. States already in $C$ remain there, and the number of outside image states decreases by at least one. After at most $n-s$ repetitions, a word of length at most $(n-s)^2$ maps $Q$ into $C$. The automaton restricted to $C$ is strongly connected and synchronizing. The proved bound there, followed after this entering word, gives \[ \rt(\mathcal A)\le(n-s)^2+\frac{8242}{49923}s^3+O(s^2) \le\frac{8242}{49923}n^3+O(n^2). \] For $s=1$ the reset suffix is empty. This completes the proof of Theorem~\ref{thm:main} for arbitrary synchronizing complete automata. Appendix~\ref{explicit:appendix} supplies an explicit quadratic remainder. \section{Reproducibility and AI provenance}\label{sec:provenance} \paragraph{Mathematical and computational evidence.} The universal argument is the written proof above, using the cited Pin--Frankl and Shitov bounds. The ancillary files contain standard-library Python scripts and their outputs. The script \texttt{verify.py} checks exact rational identities and 216 finite dual and cheap-prefix profiles. The script \texttt{verify\_degree\_transport.py} enumerates all labelled binary transition tables on $2$, $3$, and $4$ states, filters for strong connectivity and synchronization, computes pair distances by breadth-first search, and computes $D$ by subset breadth-first search. The resulting 18,894 automata and 76,476 integer-horizon checks have no violations of Lemma~\ref{lem:transport}. The script \texttt{verify\_explicit\_constant.py} checks 16 exact rational guards used in Appendix~\ref{explicit:appendix}. All three scripts were rerun with Python 3.14.7 for this version. These finite diagnostics are not formal proofs of the universal statements. \paragraph{Generation and revision.} OpenAI Codex, using the model label \texttt{6.1 sol}, performed the literature searches, exploratory calculations, proof development, programming, and primary drafting in October 2026. This November 2026 revision used OpenAI Codex with the model label \texttt{6 astra} to revise the manuscript, derive an explicit quadratic remainder, and repeat the checks. A review generated by Google Gemini with the model label \texttt{Gemini 3.1 Pro}, and supplied by the human contributor, was used as editorial input; its settings were not supplied. These model labels were reported by the human submitting contributor and have not been independently verified as provider snapshot identifiers. The review comments were not treated as a proof certificate. Separate AI review passes examined the graph argument, the scalar dual, boundary cases, the explicit remainder, and the bibliography. Such passes can share systematic errors and do not constitute human peer review or independent formal verification. \paragraph{Human contribution and understanding.} HONG SUNGBIN directed the research request, supplied the Gemini comments, and requested preparation of this submission. The text and mathematical development are primarily AI-generated. The submitting contributor makes no claim of having personally checked and understood any part of the proof; the corresponding human-understanding declaration is \emph{none}. AI systems are disclosed as tools, not named as contributors. \paragraph{Verification limits.} No proof-assistant verification or external human peer review has been performed. The cited survey supports the comparison with Shitov's bound; the literature search is not an exhaustive priority certification. This version contains neither a proof of the quadratic \v{C}ern\'y conjecture nor a claim that repository acceptance certifies correctness. The ancillary JSON file \texttt{ai\_usage.json} records the tool roles, declared human understanding, reproduction commands, and check scope. \appendix \numberwithin{equation}{section} \section{An explicit quadratic remainder}\label{explicit:appendix} This appendix gives an explicit uniform choice for the quadratic remainder in Theorem~\ref{thm:main} by replacing the asymptotic errors with numerical bounds. The constant is deliberately conservative, chosen for simplicity, and not optimized. Put $c=8242/49923$, $d_0=\mu/25=5/16641$, and retain the notation of the proof above. \begin{lemma}[Explicit remainder]\label{explicit:remainder} Every synchronizing complete DFA with $n\ge2$ states satisfies \[ \rt(\mathcal A)\le c n^3+500n^2. \] \end{lemma} \begin{proof} We first treat strongly connected automata with $n\ge10000$. The following bounds hold uniformly whenever $\beta n/2\le\rho\le\gamma n$: \begin{equation}\label{explicit:floor} |\mu_n-\mu n^2|\le n+1,\qquad 0\le b_r\le1,\qquad D_n(\rho)\le n^3F(\rho/n)+2n^2. \end{equation} Here is explicit justification of the rounding and admissibility claims. Write $g=\gamma n-\theta$ and $m=n/2-\eta$, with $0\le\theta,\eta<1$. Then \[ \mu_n-\mu n^2 =\bigl((2\gamma-1/2)\theta-\gamma\eta\bigr)n +\theta\eta-\theta^2. \] The absolute value is at most $n+1$. Also $gm/2$, and $\mu n^2-n-1>0$ for $n\ge10000$. For $r\ge\rho$ and $rD-6. \] If $D\ge n/50$, both $n/50-6$ and $\mu n^2-n-1$ are positive. Therefore \begin{align*} 2\mu_nP &\ge2(\mu n^2-n-1)(n/50-6)\\ &\ge d_0n^3-\left(12\mu+\frac1{25}\right)n^2 \ge d_0n^3-n^2. \end{align*} The dual estimate, \eqref{explicit:floor}, and \eqref{explicit:reset} now give \begin{equation}\label{explicit:largeD} \rt(\mathcal A)\le c n^3+8n^2. \end{equation} Suppose instead that $Dd_0. \end{align*} Here $00$. If $s=1$, the entering word itself resets the automaton and has length at most $(n-1)^2$. This completes the explicit all-$n$ proof. \end{proof} \clearpage \begin{thebibliography}{9} \bibitem{frankl} P.~Frankl, An extremal problem for two families of sets, \emph{European Journal of Combinatorics} \textbf{3} (1982), 125--127. \href{https://doi.org/10.1016/S0195-6698(82)80025-5}{doi:10.1016/S0195-6698(82)80025-5}. \bibitem{pin} J.-E.~Pin, On two combinatorial problems arising from automata theory, in \emph{Combinatorial Mathematics}, North-Holland Mathematics Studies \textbf{75} (1983), 535--548. \href{https://doi.org/10.1016/S0304-0208(08)73432-7}{doi:10.1016/S0304-0208(08)73432-7}. \bibitem{shitov} Y.~Shitov, An improvement to a recent upper bound for synchronizing words of finite automata, \emph{Journal of Automata, Languages and Combinatorics} \textbf{24} (2019), 367--373. \href{https://arxiv.org/abs/1901.06542}{arXiv:1901.06542}; \href{https://doi.org/10.25596/jalc-2019-367}{doi:10.25596/jalc-2019-367}. \bibitem{szykula2018} M.~Szyku\l a, Improving the upper bound on the length of the shortest reset word, in \emph{STACS 2018}, LIPIcs \textbf{96}, 56:1--56:13 (2018). \href{https://doi.org/10.4230/LIPIcs.STACS.2018.56}{doi:10.4230/LIPIcs.STACS.2018.56}. \bibitem{survey} M.~Szyku\l a, Synchronizing automata: Open problems, \emph{EPTCS} \textbf{451} (2026), 33--47. \href{https://arxiv.org/abs/2608.24245}{arXiv:2608.24245}; \href{https://doi.org/10.4204/EPTCS.451.3}{doi:10.4204/EPTCS.451.3}. \end{thebibliography} \end{document}