\documentclass[12pt,reqno]{amsart} \usepackage[T1]{fontenc} \usepackage{lmodern} \usepackage{microtype} \usepackage{amsmath,amssymb,amsthm,mathtools} \usepackage{xcolor} \usepackage{graphicx} \usepackage{tikz} \usetikzlibrary{arrows.meta,calc,positioning,decorations.pathreplacing} \usepackage{booktabs} \usepackage{enumitem} \usepackage{url} \usepackage[hidelinks]{hyperref} \hypersetup{pdftitle={Finite Length Data Do Not Universally Determine Flat Three-Tori},pdfsubject={Flat tori, lattices, and truncated length spectra},pdfkeywords={flat torus, lattice, Gram matrix, length spectrum, cosmic topology}} \usepackage[margin=1.12in]{geometry} \usepackage{fancyhdr} \usepackage{setspace} \definecolor{deepgreen}{RGB}{0,86,58} \newcommand{\key}[1]{\textcolor{deepgreen}{\boldsymbol{#1}}} \newcommand{\Z}{\mathbb Z} \newcommand{\R}{\mathbb R} \newcommand{\T}{\mathbb T} \newcommand{\vol}{\operatorname{vol}} \newcommand{\sys}{\operatorname{sys}} \newcommand{\Spec}{\operatorname{Spec}} \newcommand{\supp}{\operatorname{supp}} \newcommand{\tr}{\operatorname{tr}} \newcommand{\diag}{\operatorname{diag}} \newcommand{\GL}{\operatorname{GL}} \newcommand{\Sym}{\operatorname{Sym} } \newcommand{\eps}{\varepsilon} \newcommand{\norm}[1]{\left\lVert #1\right\rVert} \newcommand{\abs}[1]{\left|#1\right|} \newcommand{\ip}[2]{\left\langle #1,#2\right\rangle} \newcommand{\M}{\mathcal M} \newcommand{\Lsp}{\mathcal L} \newcommand{\Qp}{Q_{+}} \newcommand{\Qm}{Q_{-}} \theoremstyle{plain} \newtheorem{theorem}{Theorem}[section] \newtheorem{proposition}[theorem]{Proposition} \newtheorem{lemma}[theorem]{Lemma} \newtheorem{corollary}[theorem]{Corollary} \theoremstyle{definition} \newtheorem{definition}[theorem]{Definition} \newtheorem{example}[theorem]{Example} \theoremstyle{remark} \newtheorem{remark}[theorem]{Remark} \setlength{\parskip}{0.18em} \setlength{\parindent}{1.25em} \setlist[enumerate]{leftmargin=2.2em,itemsep=0.2em,topsep=0.35em} \setlist[itemize]{leftmargin=2.0em,itemsep=0.2em,topsep=0.35em} \pagestyle{fancy} \fancyhf{} \fancyhead[LE,RO]{\thepage} \fancyhead[LO]{\scriptsize FINITE LENGTH DATA AND FLAT THREE-TORI} \fancyhead[RE]{\scriptsize A CONSTRUCTION AND ITS LIMITS} \renewcommand{\headrulewidth}{0.35pt} \setlength{\headheight}{14pt} \title[Finite length data and flat three-tori]{Finite Length Data Do Not Universally Determine Flat Three-Tori\\[0.35em]\large Explicit Constructions, Proofs, and a Caution for Cosmic Topology} \date{October 2026} \subjclass[2020]{11H55, 53C22, 83F05} \keywords{flat torus, lattice, Gram matrix, length spectrum, quadratic form, cosmic topology, finite data} \begin{document} \begin{abstract} A flat three-torus is determined by a Euclidean lattice up to orthogonal changes of coordinates, or equivalently by a positive-definite Gram matrix up to integral change of basis. A finite list of short lattice lengths is a much weaker datum. This paper gives an explicit and fully elementary construction showing that the weakness can persist over a large range of scales. For every real parameter $A\geq 2$, we exhibit two positive-definite Gram matrices $G_{+}(A)$ and $G_{-}(A)$ whose associated flat tori have different volumes and hence are not isometric, while their length multisets agree below a radius \[ R_A=\sqrt{2A^2-2A^{-2}-4A^{-4}}. \] The shortest nonzero lattice length is exactly one in both examples, so $R_A$ is not made large by a uniform rescaling; it tends to infinity with $A$. The proof isolates the coordinate support on which the two quadratic forms differ and supplies a sharp enough lower bound to exclude that support from every shorter vector. A second, isotropic example gives a compact rational pair whose short length multisets agree below $\sqrt 2$ and differ at that threshold. We then place the construction alongside the theory of ternary quadratic forms and explain what it does—and does not—say about cosmic topology. In particular, finite agreement of direct-lattice lengths is not equivalent to equality of CMB covariance data, nor does it establish an observational degeneracy for any specified cosmological model. \end{abstract} \maketitle \clearpage \setcounter{tocdepth}{1} \tableofcontents \clearpage \section{Introduction} The global shape of a spatially flat universe is not fixed by the local statement that its spatial curvature vanishes. Even when the universal cover is Euclidean three-space, a spatial slice may be a quotient by a discrete group of isometries. The simplest compact example is a flat three-torus, obtained by identifying opposite faces of a parallelepiped. Mathematically, its geometry is encoded by a lattice in $\R^3$; observationally, its global identifications can in principle affect repeated images, the cosmic microwave background (CMB), and other large-scale correlations. These questions form part of the broader subject of cosmic topology \cite{LachiezeReyLuminet1995,Levin2002,Planck2016,Petersen2022}. A useful mathematical question is whether a finite amount of short-distance information can uniquely identify the torus. For a lattice $\Lambda$, one may record the lengths of all lattice vectors below a cutoff $R$, with multiplicities. This data is called here the \emph{truncated length multiset}. It is closely related to the first part of the theta series of the corresponding quadratic form. It is not the same thing as the full theta series, and it is not the same thing as the complete spectrum of every physical operator on a compact space. The distinction between finite data and complete data is the point of this paper. We prove an explicit nonuniqueness statement, rather than proposing a generic heuristic. Our principal construction changes one off-diagonal entry of a Gram matrix from $+\eps$ to $-\eps$. The changed term appears only when two selected integer coordinates are both nonzero. When those coordinates are nonzero, the vector is forced to be long; when one of them vanishes, the two quadratic forms agree exactly. By increasing the two corresponding diagonal scales while keeping the shortest direction fixed, we push all potentially distinguishing vectors to arbitrarily large length. \medskip \noindent\textbf{Main result in plain language.} There are non-isometric flat three-tori with the same short closed-geodesic length data up to a cutoff that is arbitrarily large compared with the shortest closed-geodesic length. The result is explicit, parameterized, and proved by direct estimates. \subsection{What is and is not claimed} The result is deliberately narrow. It does not say that the full length spectrum fails to determine a flat three-torus. In dimension three, Schiemann proved a strong uniqueness theorem for ternary positive-definite quadratic forms from their full theta series \cite{Schiemann1997}. Our pair is consistent with that theorem: the two forms eventually differ, and we explain why their full length multisets cannot agree. Nor does the construction prove that two different cosmic-topology models produce identical CMB maps, identical angular power spectra, or identical likelihoods. A direct-lattice length multiset is only one geometric input. CMB predictions also depend on the reciprocal lattice, the orientation of the fundamental domain relative to the sky, cosmological transfer functions, initial conditions, observational masks, and noise. The cosmological discussion therefore gives a careful interpretation of the mathematical example, not a claim of a new observational loophole. \subsection{Contributions and structure} The paper makes four modest, concrete contributions. \begin{enumerate} \item It defines the comparison data carefully, including multiplicities and normalization by the shortest nonzero lattice length. \item It proves a parameterized construction with a common finite length multiset whose cutoff grows without bound after fixing the systole to one. \item It gives a second rational example in which the first discrepancy can be located exactly at a small threshold, making the mechanism easier to inspect by hand. \item It relates the example to theta series and to cosmic-topology observables while keeping the logical scope of each inference explicit. \end{enumerate} Section~\ref{sec:background} establishes notation. Section~\ref{sec:main} gives the main construction and proof. Sections~\ref{sec:isotropic}--\ref{sec:theta} provide an arithmetic companion example and the relation to classical uniqueness results. Sections~\ref{sec:compute} and \ref{sec:cosmo} discuss reproducibility and cosmological interpretation. The appendices collect detailed estimates and a finite-search verification protocol. \section{Lattices, Gram matrices, and flat tori}\label{sec:background} \subsection{From a lattice basis to a metric} Let $B$ be an invertible real $3\times 3$ matrix whose columns are basis vectors $b_1,b_2,b_3$ in Euclidean space. The lattice generated by those vectors is \[ \Lambda=B\Z^3=\{Bn:n\in\Z^3\}. \] Its Gram matrix is \[ G=B^{\mathsf T}B, \] which is symmetric positive definite. The squared norm of the lattice vector $Bn$ is \[ \norm{Bn}^2=n^{\mathsf T}Gn=:Q_G(n). \] Conversely, every real symmetric positive-definite matrix $G$ is the Gram matrix of some basis: for example, choose a Cholesky factorization $G=B^{\mathsf T}B$. The quotient $\R^3/\Lambda$ inherits a flat Riemannian metric. Using the integer coordinate model, we can represent the same torus as $\R^3/\Z^3$ with constant metric tensor $G$. This is the convenient representation for calculations: the integer vector $n$ labels a deck translation, and its length is $\sqrt{Q_G(n)}$. \begin{definition} For a symmetric positive-definite matrix $G$, let \[ \T_G=(\R^3, G)/\Z^3 \] be the associated flat three-torus. Its covolume, equivalently the Riemannian volume of a fundamental domain, is \[ \vol(\T_G)=\sqrt{\det G}. \] Its systole is the length of its shortest noncontractible closed geodesic, \[ \sys(\T_G)=\min_{n\in\Z^3\setminus\{0\}}\sqrt{n^{\mathsf T}Gn}. \] \end{definition} The volume formula follows from $\abs{\det B}=\sqrt{\det(B^{\mathsf T}B)}$. The systole is positive because $G$ is positive definite and the integer lattice is discrete. \subsection{Integral changes of basis and isometry} A change of lattice basis replaces $B$ by $BU$, where $U\in\GL(3,\Z)$. The Gram matrix then becomes \[ G\longmapsto U^{\mathsf T}GU. \] Since $\abs{\det U}=1$, this transformation preserves determinant and volume. Conversely, an isometry between flat tori induces a lattice isometry and hence an integral equivalence of their Gram forms. Thus a difference in volume is a simple obstruction to isometry. \begin{proposition}\label{prop:volumeobstruction} If $G_1$ and $G_2$ are Gram matrices of isometric flat tori, then $\det G_1=\det G_2$. In particular, unequal determinants imply non-isometry. \end{proposition} \begin{proof} An isometry carries one lattice to the other by an orthogonal linear map after lifting to the universal cover. If $B_i$ are basis matrices, then after an orthogonal transformation and an integral basis change they describe the same lattice. The resulting Gram matrices are integrally equivalent, $G_2=U^{\mathsf T}G_1U$ with $U\in\GL(3,\Z)$. Consequently \[ \det G_2=(\det U)^2\det G_1=\det G_1. \] \end{proof} \subsection{Length data with multiplicity} A torus contains infinitely many closed geodesics, including repetitions of shorter geodesics. To avoid ambiguity, we compare the lengths of deck translations indexed by all nonzero integer vectors. The vectors $n$ and $-n$ are both counted; this is a convenient multiplicity convention and makes no difference to equality of the two data sets being compared. \begin{definition} For $G$ positive definite and $R\geq0$, define its truncated length multiset by \[ \Lsp_G(R)=\Bigl\{\sqrt{n^{\mathsf T}Gn}:n\in\Z^3\setminus\{0\},\; n^{\mathsf T}Gn\leq R^2\Bigr\}, \] where each vector contributes one entry, so repeated values occur with their natural multiplicities. Thus this definition uses a closed cutoff: vectors of length exactly $R$ are included. The main theorem compares these multisets only at radii $R0,\\ \det G_-(A)&\geq16-\frac1{16}-\frac12-\frac1{32}>0. \end{align*} The determinant of $G_+$ is larger than that of $G_-$, so it is positive as well. All leading principal minors are positive, and Sylvester's criterion proves positive definiteness. \begin{remark} The lower bound just used is intentionally simple rather than optimized. Since $A\geq2$, monotonicity of the positive powers and the estimate $\eps\leq1/4$ already leave a wide positive margin. No asymptotic argument is needed to establish positive definiteness. \end{remark} \subsection{Different volumes and non-isometry} Subtracting the determinants in \eqref{eq:detG} yields \begin{equation}\label{eq:detdifference} \key{\det G_+(A)-\det G_-(A)=4\eps^3>0.} \end{equation} Consequently \[ \vol(\T_{G_+(A)})=\sqrt{\det G_+(A)} \ne\sqrt{\det G_-(A)}=\vol(\T_{G_-(A)}). \] Proposition~\ref{prop:volumeobstruction} then implies that the tori are not isometric. This conclusion is invariant under an integral change of basis; it does not depend on the chosen coordinate representation. It is important to separate this step from the length comparison. Determinant inequality certifies non-isometry, but it does not by itself establish agreement of short lengths. The latter requires the lower bound proved next. \subsection{Lower bound for mixed-coordinate vectors} Write $n=(n_1,n_2,n_3)\in\Z^3$. Completing the square in \eqref{eq:Qpm} gives \begin{align} Q_\pm(n) &=\bigl(n_1+\eps(n_2+n_3)\bigr)^2\notag\\ &\quad +(A^2-\eps^2)(n_2^2+n_3^2) +2(\pm\eps-\eps^2)n_2n_3. \label{eq:complete-square} \end{align} The last two terms form the quadratic form with matrix \[ M_\pm=\begin{pmatrix} A^2-\eps^2&\pm\eps-\eps^2\\ \pm\eps-\eps^2&A^2-\eps^2 \end{pmatrix}. \] Its eigenvalues are $A^2-\eps^2\pm(\pm\eps-\eps^2)$, with the sign order determined by the absolute value of the off-diagonal entry. In particular, its smallest eigenvalue is \[ \lambda_{\min}(M_+)=A^2-\eps, \qquad \lambda_{\min}(M_-)=A^2-\eps-2\eps^2. \] It follows for either sign that \begin{equation}\label{eq:blockbound} (n_2,n_3)M_\pm(n_2,n_3)^{\mathsf T} \geq(A^2-\eps-2\eps^2)(n_2^2+n_3^2). \end{equation} If $n_2n_3\ne0$, then $n_2^2+n_3^2\geq2$. Combining \eqref{eq:complete-square} and \eqref{eq:blockbound} gives \begin{equation}\label{eq:longvector} \key{Q_\pm(n)\geq2A^2-2\eps-4\eps^2=R_A^2\quad\text{whenever }n_2n_3\ne0.} \end{equation} This is the pivotal estimate. It does not require $n_1$ to be bounded and does not assume that $n_1$ is small compared with $A$. The completed square controls all possible cancellations involving the first coordinate. \subsection{Equality of truncated length multisets} The difference of the quadratic forms is especially transparent: \begin{equation}\label{eq:Qdifference} Q_+(n)-Q_-(n)=4\eps n_2n_3. \end{equation} Thus \[ n_2n_3=0\quad\Longrightarrow\quad Q_+(n)=Q_-(n). \] Fix any $R1$. The same estimate holds with indices $2$ and $3$ interchanged. If $n_2n_3\ne0$, equation~\eqref{eq:longvector} gives $Q_\pm(n)\geq R_A^2>1$ for $A\geq2$. To see the last strict inequality at the smallest allowed value, observe \[ R_A^2\geq 8-\frac12-\frac1{8}>1, \] and the expression increases for $A\geq2$. Therefore the only shortest nonzero vectors are $\pm e_1$, and \begin{equation}\label{eq:sysone} \key{\sys(\T_{G_+(A)})=\sys(\T_{G_-(A)})=1.} \end{equation} \subsection{The cutoff grows without rescaling} Substituting $\eps=A^{-2}$ into \eqref{eq:RA} gives \[ R_A^2=2A^2-2A^{-2}-4A^{-4}. \] Consequently $R_A\sim\sqrt2 A$ as $A\to\infty$. By \eqref{eq:sysone}, the normalized cutoff is exactly $R_A/\sys=R_A$, and hence \begin{equation}\label{eq:unbounded} \key{\frac{R_A}{\sys(\T_{G_\pm(A)})}\longrightarrow\infty.} \end{equation} This is the main strength of the example. One can make the initial interval of exact agreement arbitrarily large when measured in units of the shortest closed geodesic, while retaining non-isometry. \section{Geometric picture and interpretation of the main proof}\label{sec:picture} The construction can be understood through coordinate support. The first coordinate represents a short direction; the second and third coordinates represent two long directions of comparable scale. The $+/-$ choice changes only the mutual inner product of the two long basis vectors. A lattice vector using at most one of those long directions does not see that change. A vector using both must pay the length cost of at least one unit in each of those directions, placing it beyond the derived cutoff. \begin{figure}[ht] \centering \begin{tikzpicture}[scale=0.95,>=Latex, line cap=round, line join=round] % A schematic parallelepiped; deliberately not to scale. \coordinate (O) at (0,0); \coordinate (u) at (1.4,0.25); \coordinate (v) at (0.55,1.55); \coordinate (w) at (2.2,0.75); \coordinate (uv) at ($(u)+(v)$); \coordinate (uw) at ($(u)+(w)$); \coordinate (vw) at ($(v)+(w)$); \coordinate (uvw) at ($(u)+(v)+(w)$); \draw[thick] (O)--(u)--(uv)--(v)--cycle; \draw[thick] (O)--(w)--(uw)--(u); \draw[thick] (w)--(vw)--(v); \draw[thick] (uw)--(uvw)--(uv); \draw[thick] (vw)--(uvw); \draw[deepgreen,very thick,-{Latex}] (O)--(u) node[midway,below=2pt] {$b_1$}; \draw[deepgreen,very thick,-{Latex}] (O)--(v) node[midway,left=2pt] {$b_2$}; \draw[deepgreen,very thick,-{Latex}] (O)--(w) node[midway,below=2pt] {$b_3$}; \node[align=left,anchor=west] at (4.65,1.5) {$b_1$: short direction\\[2pt] $b_2,b_3$: long directions}; \node[align=left,anchor=west] at (4.65,0.45) {The sign change affects\\$\langle b_2,b_3\rangle$ only.}; \end{tikzpicture} \caption{A schematic fundamental parallelepiped. The illustration is qualitative: the proof is entirely matrix-based and does not rely on the drawing being to scale. The changed inner product couples coordinates $n_2$ and $n_3$, so only vectors using both long directions can distinguish the two forms.} \label{fig:parallelepiped} \end{figure} There are two distinct geometric statements here. First, $G_+$ and $G_-$ represent different global flat geometries because their volumes differ. Second, their low-length vector data agree because those vectors are confined to a common union of coordinate planes. The second statement is not a topological identification: both underlying spaces are topologically $\T^3$, while their Riemannian metrics are different. The construction does not say that all finite geometric information is useless. A cutoff can be chosen large enough to detect the difference for any fixed $A$. Rather, no single rule based only on the short length multiset can be assumed to distinguish every possible flat three-torus without additional hypotheses or a cutoff adapted to the unknown lattice parameters. \section{An isotropic rational example}\label{sec:isotropic} The anisotropic family is best for proving an arbitrarily large relative cutoff, but its parameter and estimate obscure the basic mechanism. We now give a smaller example with rational Gram matrices and an exactly located first discrepancy. Set $\delta=1/6$ and define \begin{equation}\label{eq:Hpm} H_+=\begin{pmatrix} 1&\delta&\delta\\ \delta&1&\delta\\ \delta&\delta&1 \end{pmatrix},\qquad H_-=\begin{pmatrix} 1&\delta&\delta\\ \delta&1&-\delta\\ \delta&-\delta&1 \end{pmatrix}. \end{equation} Their quadratic forms are \begin{align*} P_+(a,b,c)&=a^2+b^2+c^2+\frac13(ab+ac+bc),\\ P_-(a,b,c)&=a^2+b^2+c^2+\frac13(ab+ac-bc). \end{align*} The forms agree on the coordinate planes $c=0$ and $b=0$. On $a=0$, changing $b$ to $-b$ maps one restricted form to the other. Thus, on each coordinate plane, the multiset of lengths is the same, although not every labelled vector is fixed. \begin{proposition}\label{prop:isotropic} The matrices $H_+$ and $H_-$ are positive definite and define non-isometric flat tori. Their truncated length multisets agree for every $R<\sqrt2$, and differ at $R=\sqrt2$ under the convention that lengths equal to the cutoff are included. \end{proposition} \begin{proof} The eigenvalues of $H_+$ are $1-\delta$ (with multiplicity two) and $1+2\delta$, hence are positive. The eigenvalues of $H_-$ are $1+\delta$ (with multiplicity two) and $1-2\delta$, hence are also positive. The determinants are \begin{align} \det H_+&=(1-\delta)^2(1+2\delta)=1-3\delta^2+2\delta^3=\frac{25}{27},\label{eq:detHplus}\\ \det H_-&=(1+\delta)^2(1-2\delta)=1-3\delta^2-2\delta^3=\frac{49}{54}. \label{eq:detHminus} \end{align} They differ, so the tori are not isometric. Partition vectors with at least one zero coordinate by their exact support. For support of size one the squared lengths agree, and for support of size two the restricted forms are either identical or related by the sign change $b\mapsto-b$ on the $(b,c)$-plane. This gives a multiplicity-preserving correspondence without double-counting vectors on the axes. If all three are nonzero, then \[ P_\pm(a,b,c)\geq(1-2\delta)(a^2+b^2+c^2)\geq3\left(1-\frac13\right)=2. \] The first inequality follows from $|ab|+|ac|+|bc|\leq a^2+b^2+c^2$ and the fact that the absolute value of each off-diagonal coefficient in the quadratic polynomial is $1/3$. Hence no vector with all three coordinates nonzero has length below $\sqrt2$. Below that threshold, the length multiset consists only of coordinate-plane vectors, whose lengths match as just described. At the threshold, $P_-(1,-1,-1)=2$, and the same is true for its negative. These are two additional vectors in $H_-$'s length multiset. No vector of $H_+$ has squared length $2$: if all three coordinates are nonzero, its smallest possible squared length is at least $(1-\delta)\cdot3=5/2>2$; if exactly two are nonzero and both have absolute value one, the value is $2\pm1/3$, while if one has absolute value at least two then $a^2+b^2\geq5$ and the value is at least $(1-\delta)5>2$. An axis vector has squared length an integer square, not $2$. Thus the multiplicities differ at length $\sqrt2$. \end{proof} \subsection{What this example adds} The isotropic example shows the same support-based mechanism in a more symmetric setting. Unlike the anisotropic family, however, its guaranteed common interval is bounded in the chosen normalization. The purpose of including both examples is not to repeat one theorem twice: the first establishes an unbounded normalized cutoff, while the second makes it easy to see how the first distinguishing vector can sit exactly at a threshold. At $\delta=1/6$, multiplying the squared lengths by three produces the integer-valued forms \[ F_+(a,b,c)=3a^2+3b^2+3c^2+ab+ac+bc, \] \[ F_-(a,b,c)=3a^2+3b^2+3c^2+ab+ac-bc. \] Their theta series have equal coefficients for exponents below $6$ and differ at exponent $6$. The scaling changes all lengths by the same factor and does not change the logical comparison. This gives an elementary finite-prefix example in the language of quadratic forms. \section{Theta series and the full length spectrum}\label{sec:theta} \subsection{From length multisets to theta series} For a positive-definite quadratic form $Q$ taking integer values on $\Z^3$, its theta series is \[ \Theta_Q(q)=\sum_{n\in\Z^3}q^{Q(n)}=\sum_{m=0}^{\infty}r_Q(m)q^m, \] where $r_Q(m)$ counts the integer vectors with $Q(n)=m$. If $Q$ takes rational values, multiplication by a common denominator puts the series in integer powers of $q$. For a real Gram matrix with irrational entries, it is often more natural to speak directly of the multiset of lengths or the corresponding exponential sum, rather than an integer-power modular form. The coefficient sequence is a complete summary of the lengths with multiplicity, but the phrase \emph{complete} is crucial. Equality of the first $N$ coefficients says nothing by itself about all later coefficients unless a separate theorem supplies a bound for the form class under study. \subsection{Schiemann's theorem and its proper scope} Schiemann proved that a positive-definite ternary quadratic form is determined up to integral equivalence by its full theta series \cite{Schiemann1997}. The result is a strong dimension-three uniqueness theorem. The paper also gives a finite bound, expressed in terms of the third successive minimum of a reduced form, beyond which equality of coefficients forces equality of the forms; the exact hypotheses and normalization in that theorem matter and should be read from the original source when applying it. Our construction is compatible with this uniqueness result. It does not supply two forms with the same full theta series. Rather, it supplies a pair whose initial data agree over a finite interval while their determinants differ. The difference must eventually appear. For the rational isotropic example above, it appears explicitly at the squared length $2$ in the $Q$ normalization, or exponent $6$ after multiplication by three. For the anisotropic family, if $A$ is an integer then the entries of $G_\pm(A)$ are rational. The form \[ \widetilde Q_\pm(n)=A^4Q_\pm(n) \] has integer coefficients and integral values on $\Z^3$. The two full theta series cannot be equal: otherwise the ternary uniqueness theorem would force integral equivalence of the forms, contradicting their unequal determinants. This observation does not identify the very first differing coefficient for general $A$; the main theorem only supplies a lower bound on where differences can begin. \subsection{Why a finite prefix can fail to identify the form} The key logic is simple but often blurred in informal discussions. A finite vector-length prefix is a finite set or multiset of numerical values. The matrix itself has six independent real entries before basis equivalence, and constraints from a finite prefix depend on which integer vectors happen to enter the cutoff. In the present construction, the scale separation makes this incidence pattern transparent: the short vectors live on two coordinate planes, and the changed coefficient is invisible on those planes. This is stronger than merely saying that a finite list contains fewer values than an infinite one. It identifies a mechanism and quantifies a cutoff. It is also weaker than saying that the metric cannot be reconstructed from observations at any finite precision. If the whole metric is known a priori to belong to a restricted parameter family, or if continuous measurements supply more information than a finite length list, uniqueness may be restored. The theorem is a counterexample to unrestricted finite-length identification, not a universal no-go theorem for metric reconstruction. \section{Computational audit and reproducibility}\label{sec:compute} The principal results admit exact symbolic proofs. Computation is useful as a check, but it is not used as a substitute for the inequalities above. This section specifies what can be checked independently and what any numerical experiment should report. \subsection{Symbolic checks} For the anisotropic family, a computer algebra system can verify the determinant identity \[ \det G_\pm=A^4-\eps^2-2A^2\eps^2\pm2\eps^3. \] It can also verify the completed-square identity \eqref{eq:complete-square}. These are polynomial identities, so a symbolic verification is definitive for the displayed algebra, though it does not on its own verify the logical implication from the identity to the cutoff estimate. That implication is the separate eigenvalue argument in \eqref{eq:blockbound}--\eqref{eq:longvector}. \subsection{Finite lattice enumeration} A bounded search over integer vectors can check small instances of the theorem. For each selected $A$, choose an integer bound $N$ large enough to include all vectors whose computed squared norm is below a chosen cutoff. Then enumerate \[ \{n\in\Z^3\setminus\{0\}: |n_i|\leq N,\ Q_\pm(n)1$. \item If $n_2=0$ and $n_3\ne0$, the same bound holds by symmetry. \item If $n_2n_3\ne0$, then $Q_\pm(n)\geq R_A^2>1$ by \eqref{eq:longvector}. \end{enumerate} The lower bound $R_A^2>1$ follows immediately from $A\geq2$ and $\eps\leq1/4$. Equality at one is therefore achieved only by $n=\pm e_1$. \section{Exact checks for the isotropic example}\label{app:isotropic} For $H_+$, the matrix is $I+\delta(J-I)$, with eigenvalues $1+2\delta$ and $1-\delta$ (twice). For $H_-$ the off-diagonal sign pattern has two eigenvalues $1+\delta$ and one eigenvalue $1-2\delta$. These statements can be verified by direct multiplication with the vectors $(1,1,1)$ and $(1,-1,-1)$ and their orthogonal complements. The determinant expansions are \[ \det H_+=1-3\delta^2+2\delta^3, \qquad \det H_-=1-3\delta^2-2\delta^3. \] At $\delta=1/6$, these become $100/108=25/27$ and $98/108=49/54$. Their difference is $2/108=1/54$, which is also $4\delta^3$. For an all-nonzero integer vector, the elementary inequality \[ |ab|+|ac|+|bc|\leq a^2+b^2+c^2 \] follows by adding $2|ab|\leq a^2+b^2$, $2|ac|\leq a^2+c^2$, and $2|bc|\leq b^2+c^2$, then dividing by two. Consequently \[ P_\pm(a,b,c)\geq\left(1-\frac13\right)(a^2+b^2+c^2)\geq2. \] This proves the short-cutoff statement without needing to list any sign patterns. To establish the exact discrepancy at squared length two, the eigenvalue lower bound for $H_+$ gives \[ P_+(a,b,c)\geq\frac56(a^2+b^2+c^2)\geq\frac52 \] when all three coordinates are nonzero. When only two coordinates are nonzero, the value has the form $a^2+b^2\pm ab/3$. For $|a|=|b|=1$ it is $5/3$ or $7/3$; if $a^2+b^2\geq5$, it is at least $(5/6)\cdot5=25/6$. On a coordinate axis the squared length is an integer square. Therefore $H_+$ contributes no vector of squared length two. In $H_-$, the two vectors $(1,-1,-1)$ and $(-1,1,1)$ both have squared length two, so the multiplicities differ at the threshold. \section{Finite-search pseudocode}\label{app:pseudocode} The following pseudocode is intended as a reproducibility aid for small integer $A$, not as part of the proof. It uses exact rational arithmetic when $A$ is an integer. \begin{verbatim} input: integer A >= 2; rational cutoff R < sqrt(2*A^2 - 2/A^2 - 4/A^4) eps := 1/A^2 Gplus := [[1,eps,eps],[eps,A^2, eps],[eps, eps,A^2]] Gminus := [[1,eps,eps],[eps,A^2,-eps],[eps,-eps,A^2]] choose N large enough for the illustrative finite search for n1,n2,n3 in integers with -N <= ni <= N: if (n1,n2,n3) != (0,0,0): qplus := transpose(n) * Gplus * n qminus := transpose(n) * Gminus * n if qplus < R^2: record (qplus,n) if qminus < R^2: record (qminus,n) compare the two multisets of recorded rational values \end{verbatim} For exact arithmetic, all entries are rational when $A$ is an integer, and the quadratic values can be compared without decimal rounding. A finite search with arbitrary $N$ remains only a check: the proof of the theorem covers every integer vector and is independent of how $N$ is chosen. \section{Terminological note: three different spectra}\label{app:terminology} The words “spectrum” and “length spectrum” are used for several related objects. The present paper concerns only the multiset of norms $\{\sqrt{n^{\mathsf T}Gn}:n\in\Z^3\setminus\{0\}\}$ with multiplicity. The full theta series records the same squared lengths as exponents when an appropriate integral normalization is available. The Laplace spectrum records eigenvalues of a differential operator on functions on the torus; for a flat torus these can be expressed through the reciprocal lattice and therefore involve $G^{-1}$ in the present coordinate convention. Although these data are connected, one should specify which object is being compared before drawing a uniqueness conclusion. 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