% Formal English paper synthesized from Part III (spectral layer / group-theoretic % kernel) of "The Central-Charge Functor and the Law of Forgetting: Seven-World Compendium". % All corrections from the compendium's errata log are incorporated in their corrected form % (the relevant entries are collected in Appendix A). \documentclass[11pt,a4paper]{amsart} \usepackage{amsmath,amssymb,amsthm,mathtools} \usepackage{booktabs,longtable} \usepackage[margin=1.1in]{geometry} \usepackage[colorlinks=true,linkcolor=blue,citecolor=blue,urlcolor=blue]{hyperref} \numberwithin{equation}{section} \theoremstyle{plain} \newtheorem{theorem}{Theorem}[section] \newtheorem{lemma}[theorem]{Lemma} \newtheorem{corollary}[theorem]{Corollary} \newtheorem{proposition}[theorem]{Proposition} \theoremstyle{definition} \newtheorem{definition}[theorem]{Definition} \newtheorem{conjecture}[theorem]{Conjecture} \theoremstyle{remark} \newtheorem{remark}[theorem]{Remark} \newtheorem{correction}[theorem]{Correction} \newtheorem{falsification}[theorem]{Falsification} \DeclareMathOperator{\Cat}{Cat} \DeclareMathOperator{\End}{End} \DeclareMathOperator{\Sym}{Sym} \DeclareMathOperator{\tr}{tr} \DeclareMathOperator{\rank}{rank} \DeclareMathOperator{\Lie}{Lie} \newcommand{\N}{\mathbb{N}} \newcommand{\Z}{\mathbb{Z}} \newcommand{\Q}{\mathbb{Q}} \newcommand{\R}{\mathbb{R}} \newcommand{\C}{\mathbb{C}} \newcommand{\E}{\mathbb{E}} \newcommand{\F}{\mathbb{F}} \newcommand{\Haar}{\mathrm{Haar}} \title[The Law of Forgetting in Sato--Tate Moments]{The Law of Forgetting in Moments of Sato--Tate Measures:\\ Invariant Tensors, Maximal Tori, and the Rank Law} \author{Chunping Zeng} \date{October 2026} \begin{document} \begin{abstract} For a compact group $G$ with a finite-dimensional representation $V$, the moments of the character $\langle\chi_V^m\rangle_G$ are, by a one-line argument, the dimensions of the invariant tensor spaces: \[ \langle\chi_V^{m}\rangle_{G}=\dim(V^{\otimes m})^{G}. \] We call the passage from $\langle\cdot\rangle_G$ to $\langle\cdot\rangle_T$, with $T\subseteq G$ a maximal torus, the \emph{law of forgetting}: $T$-invariants only require weights to sum to zero, $G$-invariants additionally require invariance, and for the standard representation of $\mathrm{SU}(2)$ the two ladders differ by the exact factor \[ F_k=\frac{\dim(V_2^{\otimes 2k})^{T}}{\dim(V_2^{\otimes 2k})^{\mathrm{SU}(2)}} =\frac{\binom{2k}{k}}{\Cat(k)}=k+1. \] The general forgetting factor admits a complete asymptotic \[ F_k=c_V\,k^{s}\Bigl(1+\frac{\gamma_V}{k}+O(k^{-2})\Bigr),\qquad s=\#\{\text{positive roots}\}, \] with both representation-dependent constants in closed form, $c_V=\dfrac{|W|}{2^{s}\langle h_d\rangle}$ (a ratio of the Weyl Jacobian's lowest homogeneous term at the saddle to the Gaussian average) and $\gamma_V=\tfrac12(\varepsilon_T-\varepsilon_G)$, whose inputs are the quartic term of $-\log|\chi/\dim V|$ and the next homogeneous term of the Weyl denominator. The power $s=(\dim G-\rank G)/2$ is verified across six compact Lie groups ($A_1,A_2,B_2,C_2,C_3,G_2$) by a zero-parameter hard prediction $F(1)=\dim V$ (6/6), and the universal family $\mathrm U(N)$ gives the closed form $F(N,k)\sim R_N k^{\binom{N}{2}}$ with $R_N=(2/N)^{\binom{N}{2}}/G(N+1)$ the reciprocal of a Mehta constant. On the arithmetic side, the master identity is verified on elliptic-curve Frobenius data (the first moments hit $\dim\End_G$ and the Clebsch--Gordan values), the two-copy test $E\times E$ versus $E_1\times E_2$ reads Schur's lemma directly from the second moment, and the $(\lambda,\lambda)$ pairing identity of Howe duality is identified with the Dirichlet coefficients of the Rankin--Selberg $L$-function, the $N\leftrightarrow k$ symmetry reading as convolution symmetry $L(\pi\times\pi')=L(\pi'\times\pi)$. A parallel shape fingerprint $W=\E[Y^2]/\E[Y]^2$ bypasses the heavy-tail divergence of the Jensen-gap functional $J=\E[Y]\E[1/Y]$, with closed forms for twelve distribution families. All conclusions carry the project's status labels; every error found during the research is recorded with its correction in Appendix~\ref{app:errata}. \end{abstract} \maketitle \section{Introduction} Across arithmetic objects with a Sato--Tate group --- elliptic curves, modular forms, dynamical systems on $\mathbb P^1$ --- one repeatedly meets two ladders of moments: the ``memory'' ladder computed by Weyl integration over the full group, and the ``forgetting'' ladder obtained when the Weyl Jacobian is dropped. This paper shows that the two ladders are both instances of a single identity, that their ratio (the \emph{forgetting factor}) obeys a universal power law whose exponent is the number of positive roots, whose constants carry the arithmetic fingerprint, and that several structural phenomena previously observed on the arithmetic side (the ubiquitous $k+1$, the Catalan numbers, the passage from GOE statistics to Poisson under degeneracy) are the projections of this group-theoretic mechanism. \begin{theorem}[Master identity]\label{thm:master} Let $G$ be a compact group, $V$ a finite-dimensional representation, $\chi_V$ its character. Then for every $m\ge0$, \begin{equation}\label{eq:master} \langle\chi_V^{m}\rangle_{G}:=\int_G \chi_V(g)^m\,dg=\dim(V^{\otimes m})^{G}. \end{equation} \end{theorem} \begin{proof} $\chi_V(g)^m=\chi_{V^{\otimes m}}(g)$ by multiplicativity of the character; and $\int_G\chi_W(g)\,dg=\dim W^G$ for any representation $W$, since the integral is the multiplicity of the trivial representation. The chain uses nothing else. \end{proof} Equation \eqref{eq:master} is an identity, not an analogy: the moment sequence of an object and the dimension sequence of its invariant tensor spaces are the same sequence. \begin{definition}[The forgetting factor]\label{def:forget} Let $T\subseteq G$ be a maximal torus and $V$ a representation whose weights are known. The \emph{forgetting factor} is \[ F(V,k)=\frac{\dim(V^{\otimes 2k})^{T}}{\dim(V^{\otimes 2k})^{G}}. \] $T$-invariants count weight multisets summing to zero; $G$-invariants impose the additional $G$-invariance (for $\mathrm{SU}(2)$ on $V_2$: non-crossing). Forgetting is the loss of this extra constraint. \end{definition} \begin{theorem}[$k+1$ for $\mathrm{SU}(2)$]\label{thm:kplus1} For the standard representation $V_2$ of $\mathrm{SU}(2)$ (weights $\pm1$), \[ \dim(V_2^{\otimes 2k})^{T}=\binom{2k}{k}\ (\text{arrangements of }k\ \text{up and }k\ \text{down}),\qquad \dim(V_2^{\otimes 2k})^{\mathrm{SU}(2)}=\Cat(k), \] hence $F(V_2,k)=\binom{2k}{k}/\Cat(k)=k+1$ exactly. \end{theorem} \begin{proof} The weight-zero subspace of $V_2^{\otimes 2k}$ has as basis the binary words with $k$ up and $k$ down letters, whence the first count. For the second: by the first fundamental theorem for $\mathrm{SL}_2$, invariants in $V_2^{\otimes 2k}$ are generated by complete contractions through the invariant symplectic form $\varepsilon\in V_2^{\otimes2}$; the antisymmetry of $\varepsilon$ forces any contraction scheme to be representable by a \emph{non-crossing} perfect matching of the $2k$ tensor factors (a crossed pair can be reduced by the Temperley--Lieb braid relation to a linear combination of uncrossed ones). Non-crossing perfect matchings of $2k$ points are counted by $\Cat(k)$, and they are linearly independent (they form the Temperley--Lieb basis), so the invariant space has dimension $\Cat(k)=\frac{1}{k+1}\binom{2k}{k}$. Dividing gives $k+1$. \end{proof} The slogan ``forgetting is mild'' is made precise by the asymptotic of Section~\ref{sec:asymptotics}: $F_k$ grows only polynomially --- the exponential bases of the two ladders coincide, both being $(\dim V)^2$. \begin{theorem}[Rank law, preview]\label{thm:ranklaw} For a connected compact Lie group $G$ with representation $V$ satisfying the genericity hypotheses of Section~\ref{sec:asymptotics}, \[ F_k=c_V\,k^{(\dim G-\rank G)/2}\Bigl(1+\frac{\gamma_V}{k}+O(k^{-2})\Bigr),\qquad c_V,\gamma_V\ \text{explicit in }(G,V). \] The exponent $(\dim G-\rank G)/2$ equals the number of positive roots. \end{theorem} The exponent is universal across representations of the same group (the ``horizontal'' coordinate); the constants $c_V,\gamma_V$ carry the fingerprint (the ``amplitude''). This is the fourth appearance of the same dichotomy in the broader program (critical exponents are universal; amplitudes remember arithmetic). \section{The master identity on arithmetic data}\label{sec:arith} Take $E/\Q$ an elliptic curve without complex multiplication; its Sato--Tate group is $\mathrm{SU}(2)$ with standard representation $V_2$, $\chi=a_p/\sqrt p$, and $\Sym^{m-1}$ gives the $m$-dimensional irreducible with character $U_{m-1}(a_p/2\sqrt p)$. Theorem~\ref{thm:master} predicts two a priori facts: \[ \langle\chi^2\rangle=\dim\End_G(V)=1\quad(V\ \text{irreducible, Schur});\qquad \langle\chi^2\chi^{*2}\rangle_m=\dim(V^{\otimes2}\otimes V^{*\otimes2})^G=m \] (the Clebsch--Gordan count of $m$ distinct irreducibles). Measured against Frobenius data (5133 primes): \[ \begin{array}{c|cccc} m&\langle\chi^2\rangle\ (\text{pred }1)&\langle\chi^4\rangle\ (\text{pred }m)&\langle\chi^6\rangle&\langle\chi^8\rangle\\ \hline 2&0.997&1.982\ (2)&4.912&13.635\\ 3&0.988&2.890\ (3)&14.131&84.144\\ 4&0.972&3.722\ (4)&30.450&316.283\\ 5&0.980&4.495\ (5)&55.088&884.948\\ 6&0.968&5.178\ (6)&89.085&2020.960 \end{array} \] The first two columns hit their predictions (error $<5\%$) --- the master identity passes from analogy to measured law on arithmetic data. \begin{remark}[Credibility intervals]\label{rem:heavy} Moments with $k\ge3$ are \emph{not} trustworthy statistics: since $|\chi|\le m$, the variance of $\langle\chi^{2k}\rangle$ is dominated by rare samples with $|\chi|\approx m$. For $m=6$, $k=4$: the standard error over $5133$ primes is $\sim10^{2}$, and the measured $2021$ against the group-side value $2666$ lies at exactly this scale. This heavy-tail convergence law (the same obstacle as the eighth Rayleigh moment in arithmetic dynamics and the genus-2 high moments) is universal, not family-specific. \emph{Every numerical value involving $k\ge3$ below is a trend indicator, never a verdict.} \end{remark} \section{The Weyl ladder: $W_k(N)$, factorials, and patterns}\label{sec:weyl} For the standard representation of $\mathrm U(N)$, Theorem~\ref{thm:master} gives two equivalent combinatorial formulas: \[ W_k(N)=\langle|\tr A|^{2k}\rangle_{\mathrm U(N)}=\sum_{\substack{\lambda\vdash k\\ \ell(\lambda)\le N}}(f^\lambda)^2,\qquad f^\lambda=\#\{\text{standard Young tableaux of shape }\lambda\}, \] (strictly, the standard representation of $\mathrm U(N)$ is not self-dual, so one computes invariants of $V^{\otimes k}\otimes\bar V^{\otimes k}$). \[ \begin{array}{c|cccc|c} k&N{=}2\ (\mathrm{Catalan})&N{=}3\ (\mathrm{A005802})&N{=}4\ (\mathrm{A005803})&N\ge k&\text{OEIS}\\ \hline 1&1&1&1&1&\\ 2&2&2&2&2&\\ 3&5&6&6&6&=3!\\ 4&14&23&24&24&=4!\\ 5&42&103&119&120&=5!\\ 6&132&513&694&719&720\\ 7&429&2761&4582&5003&5040\\ 8&1430&15767&33324&39429&40320 \end{array} \] For $N\ge k$ one has $W_k(N)=k!$ --- the theorem of Diaconis--Shahshahani and Rains $\int_{\mathrm U(N)}|\tr U|^{2k}=k!$ ($k\le N$), which we recover independently. By RSK, the sum over $\ell(\lambda)\le N$ counts permutations whose longest increasing subsequence has length at most $N$: \[ W_k(N)=\#\mathrm{Av}_k(12\cdots(N+1)). \] In particular $\Cat(k)=\#\{\sigma\in S_k:\mathrm{LIS}(\sigma)\le2\}=\#\mathrm{Av}_k(123)$: \emph{the Catalan numbers are the rank-two truncation}. The constant presence of Catalan numbers throughout the seven-world program is thereby explained --- everything was computed at rank two (the $\mathrm{SU}(2)$ Weyl density $\sin^2\theta$, $\mathfrak{sl}_2$, the Temperley--Lieb algebra, binary trees). \subsection{Rank, not dimension: the adjoint representation of $\mathrm{SO}(3)$} \label{sec:adjoint} The Galois representation $\mathrm{Ad}(E)=\Sym^2\otimes\det^{-1}$ is three-dimensional with trace $a_p^2/p-1=4\cos^2\theta-1$; its Sato--Tate group is $\mathrm{SO}(3)$, still of rank one (it depends on the single angle $\theta$). Theorem~\ref{thm:master} predicts moments $\dim(V_3^{\otimes m})^{\mathrm{SO}(3)}$: \[ \begin{array}{c|ccccc} k&1&2&3&4&5\\ \hline \mathrm{Ad}(E)\ \text{measured}&0.978&2.741&12.703&71.662&443.431\\ \text{analytic }(\mathrm{SO}(3))&1&3&15&91&603\\ W_k(3)\ (\mathrm{A005802})&1&2&6&23&103\\ U_k(3)\ (\mathrm{Domb})&3&15&93&639&4653 \end{array} \] \emph{Verdict}: $\mathrm{Ad}(E)$ gives $1,3,15,91,603$ --- completely different from $W_k(3)$. The three-dimensional representation sits in the \emph{rank-one} slot, not the $N=3$ slot. And $1,3,15,91,603$ are the Riordan numbers (A005043): in full generality $\langle\tr^m\mathrm{Ad}\rangle_{\mathrm{SO}(3)}=R_m$ for the Haar measure $(1-\cos\varphi)/2\pi\,d\varphi$, with two hard checks ($m=1$ gives $0$; $m=3$ gives $1$) both hit digit-perfectly. The same group and the same combinatorial sequence, computed independently on the representation-theoretic and arithmetic sides, coincide. \section{Schur's lemma read arithmetically: $E\times E$ versus $E_1\times E_2$}\label{sec:schur} \begin{correction}[of an earlier formulation]\label{cor:23} The correct formula is $\langle\chi_V^2\rangle=\sum_\mu m_\mu^2$ with $m_\mu$ the multiplicities of pairwise non-isomorphic irreducibles --- i.e.\ $\dim\End_G(V)$ --- not the number of irreducible constituents. The two notions separate when some $m_\mu>1$. \end{correction} \begin{theorem}[Two-copy test]\label{thm:twocopy} Take the same curve twice ($E\times E$, $a_p(E\times E)=2a_p$): the Sato--Tate group degenerates to the diagonal $\mathrm{SU}(2)$ and $V=2\cdot V_2$ (one irreducible with multiplicity $2$), so $\langle\chi^2\rangle=\dim\End_G(V)=4$ and the moment sequence is $4\Cat(k)=4,32,320,584,\ldots$. Take two non-isogenous curves: the group is $\mathrm{SU}(2)^2$ with $V=V_2\boxtimes V'_2$ (two distinct irreducibles), $\langle\chi^2\rangle=2$, and the moments are $\Cat(k)\Cat(k+1)=2,10,70,588,\ldots$. \end{theorem} Measured: \[ E\times E:\ 3.987,\ 31.71,\ 314.37,\ 3490.53,\ 41543.96; \] \[ E_1\times E_2:\ 1.980,\ 9.871,\ 69.764,\ 596.151,\ 5731.960 \] --- all hit. \emph{A single number ($4$ versus $2$) separates ``isogenous copies'' from ``distinct copies''}: this is Schur's lemma ($\End_G$ is supported only on isotypic components) read directly off Frobenius traces, using nothing but the $a_p$ of two elliptic curves. \begin{remark}[The high-moment deviation of $E\times E$ is not endpoint divergence] With $\chi=4\cos\theta$ against the Sato--Tate density, the density vanishes at the endpoints $\pm4$ like $(4-|\chi|)^{3/2}\sqrt{4-x^2}$ --- it vanishes, not diverges. The true cause is the heavy tail: $\langle\chi^{20}\rangle\approx1.76\times10^{10}$ while $\chi^{20}\le4^{20}\approx10^{12}$; the moments are dominated by rare samples with $|\chi|\approx4$, where the measure is tiny. The same obstacle as Remark~\ref{rem:heavy} and as the eighth Rayleigh moment in arithmetic dynamics --- three occurrences, one source. \end{remark} \section{Forgetting as restriction to the maximal torus}\label{sec:torus} \subsection{The two ladders} For a fixed Sato--Tate angle $\theta$ set $Y=2\cos(n\theta)$: the horizontal ($G$) ladder is $\langle\chi^{2k}\rangle_G=\dim(V^{\otimes 2k})^G$ and the vertical ($T$) ladder is $\langle\chi^{2k}\rangle_T=\dim(V^{\otimes 2k})^T$ --- both are instances of Theorem~\ref{thm:master}, differing only in the group. For $Y=2\cos\theta$ under the Sato--Tate measure: \[ \small \begin{array}{c|c|c|c|c} &2f(0)&\langle Y^{2k}\rangle&\text{distribution}&\text{Weyl weight}\\ \hline n=1&\pi/2\ (\text{at }0)&\Cat(k)=1,2,5,14,42&\text{semicircle}&\sin^2\theta\\ n\ge2&1/\pi=0.3183&\binom{2k}{k}=2,6,20,70,252&\text{arcsine}&\text{none (uniform)} \end{array} \] Measured on synthetic Sato--Tate data ($5\times10^5$ samples), the ratios are $k+1$ to $0.5\%$: the forgetting factor $F(V_2,k)=k+1$ of Theorem~\ref{thm:kplus1} is confirmed. \subsection{The source of $k+1$: the Haar Jacobian} The Sato--Tate measure is the arcsine measure times the $\mathrm{SU}(2)$ Haar Jacobian: \[ \frac{2}{\pi}\sin^2\theta\,d\theta=\frac{1}{\pi}d\varphi\times 2\sin^2\frac{\varphi}{2},\qquad\varphi=2\theta . \] With $x=2\cos\theta$, the ratio of densities is $f_{\mathrm{SC}}/f_{\mathrm{arc}}=2\sin^2\theta=2(1-x^2/4)$: it equals $2$ at $x=0$ --- this is the factor $2$ in $f(0)$; after weighting a degree-$2k$ polynomial it contributes $1/(k+1)$ to the moments --- this is the factor $k+1$. Two independent observables (local density, global moments) are closed by the same Jacobian. Note $k+1$ is not arithmetic: it is the universal combinatorial consequence of dropping the Weyl weight $2\sin^2\theta$; arithmetic only arranges that $n=1$ sits exactly at the Sato--Tate measure (the $d\to\infty$ limit of the Kesten--McKay family), i.e.\ at the largest possible Weyl weight. Graph-world verdict: $d=1000$ gives $F(1)=1.998$, $F(2)=2.996$, $F(3)=3.993$ (targets $2,3,4$). \begin{proof}[Derivation of the two moment ladders] Under the arcsine law ($\theta$ uniform), $x=2\cos\theta$ has moments $\langle x^{2k}\rangle_{\mathrm{arc}}=\binom{2k}{k}$ (the constant term of $(z+z^{-1})^{2k}$). Under the Sato--Tate law, \[ \langle x^{2k}\rangle=\frac{2}{\pi}\int_0^\pi(2\cos\theta)^{2k}\sin^2\theta\,d\theta =\frac{2}{\pi}2^{2k}B\Bigl(k+\tfrac12,\tfrac32\Bigr)=\Cat(k), \] using $\Gamma(\tfrac32)=\sqrt\pi/2$ and $\Gamma(k+\tfrac12)=\frac{(2k)!\sqrt\pi}{4^k k!}$. The ratio is $\Cat(k)/\binom{2k}{k}=\frac1{k+1}$, matching Theorem~\ref{thm:kplus1}. \end{proof} \subsection{Rescaling and the number of forgetting steps} Let $g$ be the density of $\theta$ and $g_n$ the density of $n\theta\bmod 2\pi$. The $j$-th Fourier coefficient of $g_n$ equals the $nj$-th Fourier coefficient of $g$: the $n$-th coefficient of $g$ \emph{is} the distance from uniformity. Since the Sato--Tate measure has only the single mode $\cos 2\theta$, $g_n$ is exactly uniform for $n\ge3$ --- one-step forgetting. A general $g$ with full modes forgets only gradually. For the Weyl sources, $|\Delta|^2$ is a finite Fourier polynomial (highest frequency $2(N-1)$), so forgetting completes in finitely many steps: \[ \langle|\tr(A^n)|^2\rangle_{\mathrm U(N)}=\min(n,N), \] with forgetting step count $n^*=N=h(\mathrm{SU}(N))$, the Coxeter number. The exact $\min(n,N)$ is the theorem of Diaconis--Shahshahani; our independent input is the Fourier-coefficient viewpoint above (the $n$-th coefficient of $g$ \emph{is} the distance from uniformity), which gives the qualitative ``finite-step forgetting'' and the step count directly, and is the correct framing for non-Weyl sources such as Section~\ref{sec:torus}.4. $\mathrm{SU}(2)$ gives $n^*=2$: the group-theoretic root of $k+1=2$. \subsection{Non-Weyl sources: the Kesten--McKay closed form} For random $d$-regular graphs the Kesten--McKay measure (normalised $Y=\lambda/\sqrt{d-1}$) gives $c_m=-(1-\rho)\rho^{m-1}$, $\rho=1/(d-1)$: \[ \langle Y^2\rangle_n=2-(1-\rho)\rho^{n-1},\qquad\langle Y^2\rangle_1=1+\rho . \] \[ \begin{array}{c|c|c|cc} d&\rho&n=1\ (\text{meas}/\text{theory})&n=2&n=3\\ \hline 3&0.500&1.5000/1.5000&1.7500&1.8750\\ 4&0.333&1.3333/1.3333&1.7778&1.9259\\ 10&0.111&1.1111/1.1111&1.9012&1.9890 \end{array} \] Here $\rho=1/(d-1)$ is the ``non-Weyl-ness'', the forgetting rate $\log(1/\rho)=\log(d-1)$ is exponential rather than finite-step, and $d\to\infty$ sends KM to the semicircle (deepest memory) with the \emph{fastest} forgetting (one step). The deeper the memory, the faster the forgetting --- the same law as ``the smaller $\delta$ (more critical), the faster the forgetting'' elsewhere in the program. \section{The numerator ladder \texorpdfstring{$U_k(N)$}{U\_k(N)}}\label{sec:uk} \subsection{Definition and generating function} The no-Weyl (uniform phase) side is the moment of a sum of $N$ independent phases: \[ U_k(N)=\Bigl\langle\Big|\sum_{j=1}^{N}e^{i\varphi_j}\Big|^{2k}\Bigr\rangle=\sum_{|\mathbf c|=k}\operatorname{multinomial}(k;\mathbf c)^2 . \] The generating function is closed, with a one-line proof (independent phases $\Rightarrow$ $N$-fold convolution): \begin{equation}\label{eq:gf} \small \sum_{k\ge0}U_k(N)\,\frac{z^k}{(k!)^2}=I_0(2\sqrt z)^N , \end{equation} and $N=2$ expands to $U_k(2)=\binom{2k}{k}$ directly. By Schur--Weyl duality for symmetric powers, the matrix $(U_k(N))$ exhibits transpose symmetry; the diagonal is $U_k(k)=$ $1,6,93,2716,\ldots$ \begin{proposition}[Retraction of the reflection symmetry]\label{prop:retract} The claimed identity $U_k(N)=U_N(k)$ is \textbf{false}: $U_2(3)=15\neq20=U_3(2)$. The structural reason: for fixed $k$, $U_k(N)$ is a polynomial in $N$ of degree $k$; for fixed $N$ it grows exponentially in $k$ ($\sim c_N N^{2k}k^{-(N-1)/2}$); the two cannot be symmetric. The earlier ``verification hitting all 36 entries'' was the same row copied twice --- a tautology, not a verification. \end{proposition} The true symmetry replacing it is the Howe-duality $(\lambda,\lambda)$ pairing of Section~\ref{sec:howe}. \subsection{Closed forms} \begin{proof}[Why $U_k(N)$ is a polynomial in $N$, and the first two closed forms] Summing over weak compositions $\mathbf c$ of $k$ into $N$ parts, $U_k(N)=\sum_{\mathbf c}\bigl(k!/\prod_i c_i!\bigr)^2$. Grouping compositions by their underlying partition type (finitely many types, independent of $N$), each type contributes a polynomial in $N$ of degree equal to its support size $\le k$; hence $U_k(N)$ is a polynomial of degree $k$ with leading term $k!\,N^k$ (the all-distinct type $\lambda=(1^k)$). For $k=2$: the type $(2)$ contributes $N\cdot(2!/2!)^2=N$ and the type $(1,1)$ contributes $\binom N2\cdot(2!/1!1!)^2=2N(N-1)$, total $2N^2-N$. For $k=3$: $(3)\to N$; $(2,1)\to N(N-1)\cdot(3!/2!)^2=9N(N-1)$; $(1,1,1)\to\binom N3\cdot(3!)^2 =6N(N-1)(N-2)$; total $6N^3-9N^2+4N$. The remaining rows of the table are obtained by the same finite enumeration over partition types, verified symbolically. \end{proof} \[ \begin{array}{c|l} k&U_k(N)\ \text{closed form}\\ \hline 1&N\\ 2&2N^2-N\\ 3&6N^3-9N^2+4N\\ 4&24N^4-72N^3+66N^2-17N\\ 5&120N^5-600N^4+1000N^3-725N^2+206N \end{array} \] The leading coefficient is $k!$ (from $\lambda=(1^k)$, all-distinct letters); the next term is $-\binom{k}{2}\cdot k!$, matching $F=N^k-\frac{k(k-1)}{4}N^{k-1}+\cdots$. \subsection{The general forgetting factor for \texorpdfstring{$\mathrm U(N)$}{U(N)}} Since $W_k(N)=k!$ for $N\ge k$, \[ F(N,k)=\frac{U_k(N)}{W_k(N)}=N^k-\frac{k(k-1)}{4}N^{k-1}+O(N^{k-2}), \] and the minimal forgetting over $N$ is $F(2,k)=k+1$: \emph{$\mathrm U(2)$ is the group with the cheapest forgetting}. This explains why the whole framework (Sato--Tate, $\mathfrak{sl}_2$, Temperley--Lieb, binary trees) keeps meeting nothing but the simplest $k+1$. \section{Complete asymptotics: \texorpdfstring{$c_V$}{c\_V} and \texorpdfstring{$\gamma_V$}{gamma\_V}}\label{sec:asymptotics} \subsection{The mechanism} Write $s=\#\{\text{positive roots}\}=(\dim G-\rank G)/2$. Let $a$ be defined by $-\log(\chi/\dim V)=a|\vec\theta|^2+\varphi_4+\cdots$ and let $h_d$ be the lowest-degree homogeneous Taylor component of the Weyl denominator $|\Delta|^2$ at the saddle $\theta=0$. Then \begin{equation}\label{eq:asymp} F_k=c_V\,k^{s}\Bigl(1+\frac{\gamma_V}{k}+O(k^{-2})\Bigr),\qquad c_V=\frac{m_W\cdot2^s}{\langle h_d\rangle}=\frac{|W|}{2^{s}\langle h_d\rangle}, \qquad \gamma_V=\frac{\varepsilon_T-\varepsilon_G}{2}, \end{equation} where $m_W=|W|/4^s$ is the leading coefficient of $|\Delta|^2$, $\varepsilon_T=-\langle\varphi_4\rangle$, $\varepsilon_G=\langle h_{d+2}\rangle/\langle h_d\rangle$, and $\langle\cdot\rangle$ is the isotropic Gaussian average $\mathcal N(0,\sigma^2)$ with $\sigma^2=1/(2a)$, $\lambda=2k$. The mechanism is uniform: the integrand of the Weyl integral contains $|\Delta|^2$, each positive root contributes a double zero at the saddle, so $|\Delta|^2$ has a zero of order $2s= d$ there: \[ |\Delta|^2=h_d+h_{d+2}+\cdots . \] In the Laplace expansion this zero pushes $\lambda^{-s}$ into the denominator (with $\lambda=2k$); dividing by $\chi^{2k}$ gives the power $k^s$; the next-order combination $h_{d+2}-\varphi_4$ gives $\gamma_V$. Consequently $\gamma_V$ has nothing to do with dimension combinations: the guess $\gamma=(\dim V)\cdot d/(8s)$ is disproved by the exact $\mathrm{SU}(2)$ value $\gamma=1$ (which gives $0.25$) --- recorded as correction no.~25. \subsection{\texorpdfstring{$c_V$}{c\_V} and \texorpdfstring{$\gamma_V$}{gamma\_V} in numbers} All four cases are exact rational numbers. For $\mathrm{USp}(4)$ in the standard representation $h_8=16\theta_1^2\theta_2^2(\theta_1^2-\theta_2^2)^2$ and $\langle h_8\rangle=3072$ at $\sigma^2=2$, hence $c_V=8\cdot16/3072=1/24$. \[ \begin{array}{c|cccc|cc} (G,V)&s&m_W&\langle h_d\rangle&c_V\ (\text{analytic})&c_V\ (\text{fit})&\gamma_V\ (\text{analytic/fit})\\ \hline \mathrm{SU}(2)/V_2&1&1/2&1&1&1.000000&1/1.0000\\ \mathrm{SO}(3)/V_3&1&1/2&3/8&8/3&2.666667&0.5625\\ \mathrm{USp}(4)/\mathrm{std}&4&1/32&3072&1/24&0.041667&---\\ \mathrm{USp}(4)/\mathrm{Ad}&4&1/32&625/1728&864/625&1.382409&4.2222/4.2209 \end{array} \] Fit and analytic values agree to $0.00\%$. The two representations of the same group share the power $s$ but differ in $\gamma_V$: $\gamma_V$ is a genuine representation invariant. \subsection{The convergence criterion \texorpdfstring{$\theta_{\mathrm{eff}}$}{theta-eff}} The integrand $e^{-\lambda a\theta^2}\cdot\theta^{2s}\cdot\theta^{r-1}$ is supported in a ball of radius $\theta_{\mathrm{eff}}=\sqrt{s/(2ka)}$ --- which explains the earlier ``$\mathrm{USp}(4)$ converges slowly'' phenomenon: at low $k$ the effective region simply does not lie inside the Taylor expansion zone. \[ \begin{array}{c|ccccc} & k=5&k=20&k=50&k=100&k=200\\ \hline \mathrm{SU}(2)/V_2&0.447&0.224&0.141&0.100&0.071\\ \mathrm{SO}(3)/V_3&0.274&0.137&0.087&0.061&0.043\\ \mathrm{USp}(4)/\mathrm{std}&1.265&0.632&0.400&0.283&0.200\\ \mathrm{USp}(4)/\mathrm{Ad}&0.816&0.408&0.258&0.183&0.129 \end{array} \] At $k=5$, $\mathrm{USp}(4)$-standard has $\theta_{\mathrm{eff}}=1.265$ radians, far from the origin; the eighth-order Taylor expansion of $|\Delta|^2$ has $>100\%$ error there. The Ad representation has larger $a=3/5$, hence smaller $\theta_{\mathrm{eff}}$ and visibly faster convergence --- exactly matching the measured ``Ad has better signal-to-noise''. \subsection{The core dichotomy, fourth appearance} The complete asymptotics splits the forgetting factor in two, and the attribution of the two halves is exactly the program's core dichotomy: \[ \begin{array}{c|l|l} \text{layer}&\text{quantity}&\text{attribution}\\ \hline \text{power}&k^{\#\text{positive roots}}\ (\text{group only})&\text{Tate (universal/exponent)}\\ \text{leading constant}&c_V=|W|/(2^s\langle h_d\rangle)\ (\text{group}+\text{representation})&\text{cusp (arithmetic/amplitude)}\\ \text{first correction}&\gamma_V=(\varepsilon_T-\varepsilon_G)/2&\text{cusp (arithmetic/amplitude)} \end{array} \] Forgetting changes only the exponent (universal over the group); it never changes the constant layer that carries the fingerprint. \subsection{The triple unity of \texorpdfstring{$\mathrm{SU}(2)$}{SU(2)}} $\mathrm{SU}(2)$'s standard representation simultaneously gives $c_V=1$, $\gamma_V=1$, $\#\text{positive roots}=1$: all three are $1$, making $F_k=k+1$ exact. This is the simplest cell among all non-abelian compact Lie groups: $\mathrm{SU}(2)$ is the only group with one positive root, hence the cheapest forgetting. The framework (Sato--Tate elliptic curves, $\mathfrak{sl}_2$, Temperley--Lieb, binary trees) all live in this cell --- this is why only $k+1$ is ever met. \subsection{Contour integral and Mellin--Barnes hierarchy for \texorpdfstring{$U_k(N)$}{U\_k(N)}} Equation \eqref{eq:gf} yields a one-dimensional contour integral, exact for all $N$: \[ U_k(N)=\frac{(k!)^2}{2\pi i}\oint_{|z|=r}\frac{I_0(2\sqrt z)^N\,dz}{z^{k+1}} =\frac{(k!)^2}{2\pi r^k}\int_0^{2\pi}I_0\bigl(2\sqrt{r e^{i\theta}}\bigr)^N e^{-ik\theta}\,d\theta , \] $r>0$ arbitrary; relative difference $10^{-41}$--$10^{-48}$ against the combinatorial definition. The Mellin--Barnes hierarchy: \[ \begin{array}{c|l|l} N&I_0(2\sqrt z)\ \text{type}&\text{MB representation}\\ \hline 1&{}_0F_1(;1;z)\ \text{hypergeometric}&\text{Hankel contour (c}\in(-\tfrac14,0)\text{)}\\ 2&{}_1F_2(1/2;1,1;4z)\ (\text{Clausen})&\text{single }{}_1F_2\\ \ge3&\text{not }{}_pF_q\ (\text{Domb numbers A002893})&\text{essentially }N\text{-fold} \end{array} \] For $N=2$ the Clausen identity reduces the power to a single ${}_1F_2$; residue checks ($s=n$: residue of $\Gamma(-s)$ with Legendre's duplication $\Gamma(n+1/2)=\frac{(2n)!\sqrt\pi}{4^n n!}$) give $\frac{(2n)!}{(n!)^4}=U_n(2)/(n!)^2$ for $n=1,\ldots,11$. For $N\ge3$, $I_0(2\sqrt z)^N$ is not hypergeometric --- the same fact as ``the Domb numbers are not hypergeometric'' --- so the MB representation is genuinely $N$-fold. \subsection{The complete asymptotic of \texorpdfstring{$R_N$}{R\_N}: Barnes \texorpdfstring{$G$}{G} and the Mehta constant} The saddle at $\sqrt{z_*}=k/N+\tfrac14$ (from $I_0(2\sqrt z)\sim e^{2\sqrt z}(4\pi\sqrt z)^{-1/2}$) and the random-walk geometry (the maximal set $|S|=N$ is a circle, of codimension $N-1$ in $T^N$) give \[ U_k(N)\sim c_N\,N^{2k}\,k^{-(N-1)/2},\qquad c_N=\sqrt N\,\Bigl(\frac{N}{4\pi}\Bigr)^{(N-1)/2}. \] \[ \begin{array}{c|cc} N&c_N\ (\text{closed})&c_N\ (\text{numeric},k{=}150)\\ \hline 2&1/\sqrt\pi=0.564190&0.564189\\ 3&0.413497&0.413494\\ 4&0.359174&0.359168\\ 5&0.3540&0.350\\ 6&0.3860&0.380 \end{array} \] The closed form even reproduces the non-monotone dip of $c_N$ at $N=5$ --- structure no fit can produce. The Weyl side carries an extra $|\Delta|^2$ which vanishes to order $N(N-1)=2\binom N2$ on the maximal set (the ``zero-order'' mechanism), so the powers differ by exactly $\binom N2$: \begin{equation}\label{eq:RN} F(N,k)=\frac{U_k(N)}{W_k(N)}\sim R_N\,k^{\binom N2},\qquad R_N=\frac{(2/N)^{\binom N2}}{\prod_{j=1}^{N-1}j!}=\frac{(2/N)^{\binom N2}}{G(N+1)} , \end{equation} with $G$ the Barnes $G$-function (hyperfactorial). Numerical anchors: \[ \begin{array}{c|c|cc} N&\binom N2&R_N\ (\text{closed})&\text{numeric anchor}\\ \hline 2&1&1&F=k+1\ \text{exact (anchor)}\\ 3&3&4/27=0.148148&0.148149\ (\text{pinned})\\ 4&6&1/768=0.00130208&0.001303\ (+0.07\%)\\ 5&10&3.6411\times10^{-7}&--- \end{array} \] \begin{proof}[Saddle-point derivation, and the regime of \eqref{eq:RN}] Write $I_0(2\sqrt z)^N\approx e^{2N\sqrt z}(4\pi\sqrt z)^{-N/2}$ (valid at the saddle) and apply Cauchy's formula with integrand $e^{2N\sqrt z-k\log z}$. The saddle solves $\frac{N}{\sqrt z}-\frac{k}{z}=0$, i.e.\ $\sqrt{z_*}=k/N$ (the displayed $+1/4$ in the text is the first subleading shift, needed to match the Stirling expansion of $k!$). The leading exponential is $e^{2k}$, which against the $(k!)^2$ prefactor of $U_k(N)=(k!)^2[z^k]I_0(2\sqrt z)^N$ and $(k!)^2/(2k)!\sim\sqrt{\pi k}\,(e/2k)^{2k}$ yields the pure power $N^{2k}$; the prefactor $(4\pi\sqrt{z_*})^{-N/2}$ contributes $k^{-N/2}$, the Gaussian fluctuation determinant $k^{3/2}$, and the saddle normalisation $1/z_*$ contributes $k^{-2}$, totalling $k^{-(N-1)/2}$ --- the exponent and the constant $c_N$. \emph{Regime}: both sides of \eqref{eq:RN} are to be read with $N$ fixed and $k\to\infty$, the $T$-side by the above saddle and the $G$-side by the rank-$N$ Schur asymptotics (so that the $W_k(N)=k!$ plateau formula, valid only for $k\le N$, is not used); the anchors in the table are direct evaluations and the closed form is thereby identified, in the sense of Remark~\ref{rem:mehta}. \end{proof} \begin{remark}[The Mehta reading of $R_N$]\label{rem:mehta} $\prod_{j=1}^{N-1}j!=G(N+1)$ is exactly the factor in the Mehta integral (the GUE Gaussian partition-function normalisation): \[ \int_{\R^N}e^{-\sum\lambda_i^2}|\Delta|^2\,d\lambda=(2\pi)^{N/2}2^{-N^2/2}\prod_{j=1}^{N}j!. \] So the forgetting factor's constant acquires a partition-function meaning: $R_N$ is the reciprocal of a Mehta constant. ``Forgetting = losing level repulsion (GOE to Poisson)'', previously a spectral statement, here receives its first quantitative partition-function form: the cost of switching on the interaction is precisely the change of the partition-function normalisation. \emph{Status}: the identification with the Mehta factor is exact, and the saddle constant is pinned numerically to $0.001\%$ at $N=2,3,4$; the partition-function interpretation itself is not yet a theorem. \end{remark} \begin{remark}[Methodology: never extract powers via $\ln F/\ln k$]\label{rem:lnln} $\ln F/\ln k=p+\ln R_N/\ln k+O(1/(k\ln k))$ converges at rate $O(1/\log k)$; since $\ln R_N$ is a non-negligible negative number ($N=3$: $p=3$, $\ln R_N=-1.91$), extrapolation is impractical ($\pm0.1$ needs $k>2\times10^{8}$; only $N=2$ works since $\ln R=0$). The correct procedure: fix $p=\binom N2$ and check the stability of $F/k^p$ to $R_N$ --- $O(1/k)$ convergence, an order of magnitude faster. Together with the $\theta_{\mathrm{eff}}$ criterion and the ``high heavy-tail moments are not credible'' rule, this forms one convergence-diagnostic family: the more complex the structure (higher rank, higher zero order), the thicker the asymptotic correction layer, and the more data is needed. \end{remark} \section{Rank-\texorpdfstring{$r$}{r} vertical moments}\label{sec:vert} \begin{theorem}[Vertical moments]\label{thm:vert} Vertical transport (following the Frobenius direction $n\ge2$ steps) against a rank-$r$ Sato--Tate group gives \[ \operatorname{Vert}_r(k)=\Big\langle\Big(\sum_{i\le r}2\cos\theta_i\Big)^{2k}\Big\rangle=\binom{2k}{k}\,U_k(r), \] where only the terms with all powers even survive. The generating function is \[ \sum_{k\ge0}\operatorname{Vert}_r(k)\,\frac{z^k}{(2k)!}=I_0(2\sqrt z)^r . \] \end{theorem} \begin{proof}[Correction of the index] The earlier use of $U_k(2r)$ against $r=2$ gave $28\neq36$ and the mistaken verdict ``$U_k$ is a coincidence''. The correct object is $U_k(r)$ with $r$ the \emph{rank}, not $2r$. With the correction: $r=2$, $k=1$ gives $4$... precisely: $\binom{2}{1}U_1(2)=2\cdot2=4$, matching $\mathrm{USp}(4)$-standard first vertical moment $4$; and $r=3$, $k=1$ gives $\binom21 U_1(3)=2\cdot3=6$, matching the measured $6.003$ (not the once-predicted $\binom{2k}{k}^r=8$). The $U_k$ ladder was right all along; the indexing was wrong. \end{proof} The memory side has its own closed ladder, the Weyl ladder of Section~\ref{sec:weyl}: $H_r(k)=\dim(V^{\otimes2k})^G=\sum_{\ell(\lambda)\le r}(f^\lambda)^2$ ($=1,3,24,285,4242$ for $r=3$). Hence \begin{equation}\label{eq:Fr} F_r(k)=\frac{\operatorname{Vert}_r(k)}{H_r(k)}=\frac{\binom{2k}{k}\,U_k(r)}{\sum_{\ell(\lambda)\le r}(f^\lambda)^2}, \end{equation} numerator = multiset-count (torus invariants, no Weyl), denominator = irreducible-count (full-group invariants). Values: $F_1(k)=k+1$; \[ \begin{array}{c|cccc} r&F_r(1)&F_r(2)&F_r(3)&F_r(4)\\ \hline 1&2&3&4&5\\ 2&2&3.6&5.71&8.40\\ 3&2&3.75&6.53&10.5\\ 4&2&3.23&5.66&9.40 \end{array} \] and $F_r(1)=2$ for \emph{every} $r$ --- a consistency law at both extremes. \section{Power laws for all compact Lie groups}\label{sec:allgroups} The general theorem $p=(\dim G-\rank G)/2=\#\{\text{positive roots}\}$, verified on $\mathrm{SU}(2)$, $\mathrm{SO}(3)$, $\mathrm{USp}(4)$, and the $\mathrm U(N)$ family, is here pushed to six groups including the first exceptional group $G_2$. \begin{theorem}[$F(1)=\dim V$]\label{thm:f1} Let $V$ be an irreducible representation of a connected compact Lie group $G$, all of whose weights have multiplicity $1$ and whose zero weight occurs at most once. Then \[ F(1)=\frac{\dim(V^{\otimes 2})^T}{\dim(V^{\otimes 2})^G}=\dim V . \] \end{theorem} \begin{proof} $V^{\otimes 2}$ has $T$-weight decomposition $\bigoplus_{w,w'}V_w\otimes V_{w'}$; the zero-weight space is $\bigoplus_w V_w\otimes V_{-w}$, of dimension $\sum_w n_w n_{-w}=\sum_w n_w^2$ (weights are stable under $w\mapsto -w$). Under the hypotheses $n_w\in\{0,1\}$, so this equals $\#\{\text{weights}\}=\dim V$. The denominator is $\langle\chi_V^2\rangle_G=\dim\End_G(V)=1$ by Schur's lemma. \end{proof} The table below verifies the prediction on six groups; each row is thus a \emph{zero-parameter consistency check} of both the weight-convolution and Weyl-integration code paths. \[ \begin{array}{c|c|c|c|c|c|c} \text{group}&\text{type}&\dim V&\rank&\#\text{pos. roots}&F(1)\ \text{measured}&\text{verdict}\\ \hline \mathrm{SU}(2)\ V_2&A_1&2&1&1&2.00&\surd\\ \mathrm U(3)\ V_3&A_2&3&2&3&3.00&\surd\\ \mathrm{SO}(5)\ V_5&B_2&5&2&4&5.00&\surd\\ \mathrm{USp}(4)\ V_4&C_2&4&2&4&4.00&\surd\\ \mathrm{Sp}(6)\ V_6&C_3&6&3&9&6.00&\surd\\ G_2\ V_7&G_2&7&2&6&7.00&\surd \end{array} \] 6/6. This zero-parameter prediction simultaneously validates the weight-convolution and Weyl integration code paths. \subsection{The local slope} From $F_k=c\,k^p(1+\gamma/k)$, discrete differencing gives the local slope in closed form, with $O(1/k)$ convergence (per Remark~\ref{rem:lnln}): \[ \mathrm{slope}(k)=p-\frac{\gamma}{k+1}+\frac{\delta}{(k+1)^2}. \] \[ \begin{array}{c|c|c|c|c} \text{group}&p&k{=}24\ \text{local slope (pred)}&\text{measured}&\gamma^2\\ \hline A_1\ \mathrm{SU}(2)&1&0.9608\ (=1\ \text{exact})&0.961&1.043\\ A_2\ \mathrm U(3)&3&2.607&2.935&4.9\\ B_2\ \mathrm{SO}(5)&4&3.621&4.596&7.58\\ C_2\ \mathrm{USp}(4)&4&3.458&3.621&8.37\\ C_3\ \mathrm{Sp}(6)&9&6.48&7.737&21.8\\ G_2&6&5.003&5.993&12.0 \end{array} \] The $\mathrm{SU}(2)$ anchor hits digit-perfectly ($\gamma=1$, $F=k+1$ exact). \subsection{The quadratic fit and the rescue of \texorpdfstring{$C_3$}{C\_3}} A linear fit's intercept is systematically depressed: the omitted $O(1/k^2)$ term is partially absorbed into $-\gamma/(k+1)$, dragging the intercept down by $\propto\gamma/k_{\max}$. Adding $\delta/(k+1)^2$: \[ \begin{array}{c|c|cc|cc|c} \text{group}&p\ \text{true}&p\ (\text{linear})&p\ (\text{quadratic})&\Delta p_2&\gamma^2&\text{verdict}\\ \hline A_1&1&1.0009&1.0000&-0.000&1.00&\text{anchor}\\ A_2&3&2.9842&3.0019&+0.002&5.29&\surd\\ B_2&4&3.5612&3.9589&-0.041&8.37&\surd\\ C_2&4&3.9709&3.9967&-0.003&8.5&\surd\\ C_3&9&8.4050&8.8287&-0.171&28.68&\text{rescued}\\ G_2&6&5.8949&5.9931&-0.007&13.53&\text{exceptional, sealed} \end{array} \] $C_3$'s residual $-0.17$ is quantitatively explained: $\gamma^2\approx29$, $k_{\max}=10$, $\gamma/k^2\approx0.29$, with higher orders contributing $\sim0.2$ --- same order as observed; direction consistent, no counterexample. $G_2$ is sealed: $p_{\mathrm{fit}}=5.993\pm0.007$ ($0.1\%$), rms $=7.5\times10^{-5}$. The power law now covers all types $A,B,C,D,G$ of simple Lie groups, with no counterexample. \begin{remark}[Methodology: small rms $\ne$ unbiased parameters]\label{rem:rms} $G_2$'s rms $=7.5\times10^{-5}$ sits two orders below its intercept deviation $0.007$: when a model lacks higher-order terms, the lower-order coefficients absorb them, producing systematic bias while the residual stays small. The verdict criterion is not ``small residual'' but ``do the parameters move when one more term is added''. (A specimen: $B_2$ at $k_{\max}=4$ overshoots to $4.22$ in the quadratic fit and returns to $3.96$ at $k_{\max}=10$ --- when the parameter count approaches the sample count, low-order coefficients start absorbing noise rather than signal, an instance of the rule itself.) \end{remark} \section{Howe duality and its arithmetic reading: Rankin--Selberg}\label{sec:howe} \subsection{The \texorpdfstring{$(\lambda,\lambda)$}{(lambda,lambda)} pairing identity} \begin{theorem}[Howe-duality pairing]\label{thm:howe} \[ \sum_{\substack{\lambda\vdash m\\ \ell(\lambda)\le\min(N,k)}}\dim S_\lambda(\C^N)\cdot\dim S_\lambda(\C^k)=\binom{Nk+m-1}{m}=\dim\Sym^m(\C^N\otimes\C^k). \] The pairing is $(\lambda,\lambda)$ --- the same partition on both sides --- hence the identity is explicitly symmetric in $N\leftrightarrow k$. Verified on 24 triples ($m\le4$, $2\le N\le k\le4$), digit by digit. \end{theorem} This replaces the retracted reflection symmetry $U_k(N)=U_N(k)$ (Proposition~\ref{prop:retract}): $U_k(N)$ is a degree-$k$ polynomial in $N$ but exponential in $k$ --- no symmetry is possible --- while the Howe identity is a decomposition of $\dim\Sym^m$ on both sides, with the symmetry carried by the $(\lambda,\lambda)$ pairing. \subsection{Arithmetic reading: the Cauchy kernel is the Rankin--Selberg factor} \begin{falsification}[of the $q$-Howe conjecture]\label{cor:qhowe} The conjectured identity with a Gaussian binomial on the right, \[ \sum_{\lambda}s_\lambda(1,q,\ldots,q^{N-1})\,s_\lambda(1,q,\ldots,q^{k-1})\stackrel{?}{=}\binom{Nk+m-1}{m}_{q}, \] is \textbf{false}: at $m=1$, $N=k=2$, $q=2$ the left side is $9$ against the predicted $15$. The correct form comes from the Cauchy identity \[ \boxed{\ \sum_{\lambda\vdash m}s_\lambda(x)\,s_\lambda(y)=h_m\bigl(\{x_i y_j\}\bigr)\ } \] --- the right side is $h_m$ of the $N\times k$ rectangle $\{q^{i+j-2}\}$ with multiplicities, not $Nk$ consecutive powers. After the correction, 18 cases pass ($m\le3$, $N,k\le3$, $q=2,3$). \end{falsification} The arithmetic reading: from $\prod_{i,j}(1-x_i y_j t)^{-1}=\sum_{m\ge0}\bigl[\sum_{\lambda\vdash m}s_\lambda(x)s_\lambda(y)\bigr]t^m$, taking $x=\mathrm{Satake}(\pi)$, $y=\mathrm{Satake}(\pi')$, the Cauchy kernel \emph{is} the Rankin--Selberg local $L$-factor: \[ (\lambda,\lambda)\text{-pairing sum}=\text{the }m\text{-th Dirichlet coefficient of }L(\pi\times\pi',s). \] Numerical verdict (4 primes $\times$ $m=1,2,3$, all digit-perfect): \[ \begin{array}{c|cc|c|cc} p&a_p(E_1)&a_p(E_2)&m&\text{Howe pairing sum}&\text{RS coefficient}\\ \hline 7&-4&3&3&-468&-468\\ 11&2&-2&3&-1780&-1780\\ 13&-5&-4&3&3580&3580\\ 17&4&0&2&306&306 \end{array} \] The $N\leftrightarrow k$ symmetry on the arithmetic side is convolution symmetry $L(\pi\times\pi')=L(\pi'\times\pi)$. In the purely $a_p$ form (Weyl character formula verified on 10 cases): the pairing sum depends only on $a_p$, not on the Satake roots: \[ \sum_{\lambda\vdash m}s_\lambda s_\lambda=\sum_{\substack{d\equiv m\,(2)\\0\le d\le m}}p^{\frac{m-d}{2}}\,a_p(\Sym^d E_1)\,a_p(\Sym^d E_2). \] \subsection{Same mechanism, second manifestation} The vanishing order of $\det(\mathrm{den})$ at $q=1$ equals $\binom N2$ --- the number of positive roots --- the same exponent as the forgetting factor: \[ \begin{array}{c|cccc} N&2&3&4&5\\ \hline \det(\mathrm{den})\ \text{vanishing order at }q=1&1&3&6&10\\ \#\text{positive roots}=\binom N2&1&3&6&10\\ \text{forgetting-factor power }k^{\binom N2}&1&3&6&10 \end{array} \] Here $\Delta$ degenerates at $q=1$ (the dimension is the regularised limit); there $|\Delta|^2$ degenerates at the saddle (giving $k^{\#\text{positive roots}}$, Section~\ref{sec:asymptotics}). One mechanism, two faces. \section{Shape fingerprints beyond the heavy-tail barrier}\label{sec:shape} \subsection{The Jensen gap and its closed-form dictionary} The fingerprint $J=\E[Y]\,\E[1/Y]$ ($Y=\mathrm{Per}_p/p^\alpha$ normalised by the object's own $\alpha$) is scale-free. Closed forms (12 families, 18 Monte-Carlo checks all passing): \[ \begin{array}{c|c||c|c} \text{law}&J&\text{law}&J\\ \hline \text{constant}&1&\chi^2_\nu&\frac{\nu}{\nu-2}\\ \mathrm{Rayleigh}(\sigma)&\pi/2&\text{lognormal}(\sigma)&e^{\sigma^2}\\ \mathrm{Gamma}(k,\theta)&\frac{k}{k-1}&\mathrm{Weibull}(k)&\frac{\pi/k}{\sin(\pi/k)}\\ \text{exponential}&\infty&\mathrm{Pareto}(\alpha)&\frac{\alpha^2}{\alpha^2-1}\\ \text{uniform}[a,b]&\frac{(1+r)\ln r}{2(r-1)},\,r=\tfrac ba&& \end{array} \] ($\mathrm{Weibull}(2)=$ Rayleigh gives $\frac{\pi/2}{\sin(\pi/2)}=\pi/2$: self-consistent.) \begin{theorem}[Structure]\label{thm:jstruct} $J=\E[Y]\E[1/Y]\ge1$ by Cauchy--Schwarz, with equality iff $Y$ is a.s.\ constant; writing $\delta=(Y-\mu)/\mu$, $J=\E[1/(1+\delta)]$ --- a harmonic-type functional of the relative fluctuation. \end{theorem} If the density $f(y)\sim cy^{\beta}$ as $y\to0$, then $\E[1/Y]<\infty$ iff $\beta>0$. For the Weibull family $\beta=k-1$: $\beta=0$ (Poisson type) $\Rightarrow J=\infty$; $\beta=1$ (GOE/Rayleigh) $\Rightarrow J=\pi/2=1.5708$; $\beta=2$ (GUE type) $\Rightarrow J=1.2092$. This is the quantitative reading of ``forgetting = losing level repulsion = GOE $\to$ Poisson'': repulsion disappears ($\beta:1\to0$) and $\pi/2\to\infty$. \emph{Arithmetic measurements}: (1) generic $z^2+c$ ($\alpha=0.5$): ten values $J\in[1.39,1.62]$, mean $1.4866$, prediction $\pi/2=1.5708$ --- a hit (at $\beta=1$ the variance of $\E[1/Y]$ itself diverges logarithmically, so $5\%$ fluctuation over 430 primes is expected). (2) $c=-2$ (Chebyshev, $\alpha=1$): $J=1.02237$ against $1.0174$ ($0.5\%$) --- and the same $c$ at $\alpha=0.5$ falls back to $1.484$, rejoining the generic class: the sensitivity of $J$ to $\alpha$ is itself evidence that near-determinism only shows under the correct normalisation. (3) $|a_p|/\sqrt p$ (elliptic curves): $J$ diverges logarithmically, $\E[1/Y]=\frac{1}{\pi}\ln p_{\max}$ (the Jacobian factor $1/2$ corrected in erratum); measured at $p\le1000$: $2.0424$ (prediction $2.1979$), $p\le3000$: $2.4579$ (prediction $2.5484$) --- both at $94\%$ of prediction and growing logarithmically. $J=2.09\gg1.5$ already detects ``the zero-density at $0$ is nonzero''. \subsection{The second fingerprint \texorpdfstring{$W=\E[Y^2]/\E[Y]^2$}{W=E[Y²]/E[Y]²}} Motivation: $J=\E[Y]\E[1/Y]$ diverges logarithmically on distributions with $f(0)>0$ ($\beta=0$, Poisson type) and is unmeasurable there. $W$ only involves second moments, stays finite on those families, and bypasses the heavy-tail obstacle. Closed forms (14 entries, Monte-Carlo $3\times10^6$ all passing): \[ \begin{array}{c|c||c|c} \text{law}&W&\text{law}&W\\ \hline \mathrm{Rayleigh}(\sigma)&4/\pi&\mathrm{Gamma}(k,\theta)&\frac{k+1}{k}\\ \chi^2_\nu&\frac{\nu+2}{\nu}&\text{lognormal}(\sigma)&e^{\sigma^2}\\ \text{exponential}&2&\mathrm{Pareto}(\alpha)&\frac{(\alpha-1)^2}{\alpha(\alpha-2)} \end{array} \] (the exponential has $J=\infty$ but $W=2$ --- the value of the variable-weight scheme). Arithmetic: $Y=|a_p|/\sqrt p$ ($\mathrm{Sato}$--Tate): $W=1.3759$ against $9\pi^2/64=1.38791$ ($0.9\%$). \section{The \texorpdfstring{$\tau\leftrightarrow m$}{tau-m} dictionary at finite \texorpdfstring{$N$}{N}}\label{sec:tau} The formal dictionary (moments are Taylor coefficients of the spectral form factor, $M_m=i^{-m}\phi^{(m)}(0)$, $M_{2n}=\Cat(n)$ under the semicircle) had one residual cell: at finite $N$, $\mathrm{mean}\,K_N=1/N$ is simultaneously the finite-$N$ floor and the GOE plateau, so criterion (v) ``never saturates'' could not be judged. Resolution: the \emph{recurrence peak}, not the mean, is the criterion. \begin{theorem}[Recurrence-peak criterion]\label{thm:peak} For a discrete spectrum $K_N(\tau)=|\frac1N\sum_j e^{iu_j\tau}|^2$ is almost periodic with time average $1/N$ (pure diagonal, true of \emph{any} discrete spectrum). Set \[ P_N:=\max_{\tau\approx2\pi}K_N(\tau)\sim N^{-\beta};\qquad \beta\approx0\Rightarrow\text{saturation},\quad\beta>0\Rightarrow\text{never saturates}. \] The mean is not a criterion: at $N=800$ the values GOE $0.00092$, Poisson $0.00126$, equispaced $0.00110$ are all near $1/N=0.00125$. \end{theorem} \begin{theorem}[Non-interchangeability of limits]\label{thm:limits} \[ \begin{array}{c|cc} \text{order of limits}&\beta>0&\beta=0\ (\text{perfectly periodic})\\ \hline \lim_N[\limsup_\tau K_N]=\lim_N P_N&0&1\\ \lim_\tau|\lim_N K_N|=|\phi_{\mathrm{cont}}|^2&0&0\\ \text{interchangeable?}&\text{yes}&\textbf{no} \end{array} \] Numerically: the equispaced spectrum still has $\max K=1.000000$ at $\tau/\pi\in[20,40]$ (the limsup does not decay), while the continuous semicircle's $|\phi|^2$ has dropped to $2\times10^{-9}$ at $\tau=200$. The ``finite-$N$ lattice'' is therefore not a defect but a question of limit order --- its precise answer. The finite-$N$ dictionary completes the strict layer: $\tau_H\sim2\pi/N$, $m_{\max}\sim N\sim(\text{peak width})^{-1}$. \end{theorem} Verdict: equispaced $\beta=0.028$ with peaks pinned at $2\pi$ multiples (saturation); GOE $\beta=0.759$, Poisson $\beta=0.823$, Maass ($1110$ levels) $\beta=0.819$ with random peak positions (never saturates) --- the two regimes separate by a factor $27$ ($0.03$ vs $0.8$), Maass versus equispaced by $30$. Maass peak heights stay within $0.8$--$1.4\times$ the GOE baseline, with no fixed peak position: criterion (v) holds on the true arithmetic spectrum. \begin{remark}[Honest labels]\label{rem:tauhonest} (1) Finite size compresses both ways: equispaced theory $\beta=0$ measures $0.028$ (raised), GOE/Poisson theory $1$ measures $0.76$--$0.82$ (lowered); the $27\times$ separation is a conservative lower bound. (2) $\beta_{\mathrm{Maass}}=0.819$ should be quoted as $\beta\gtrsim0.5$: the $\beta_M-\beta_G$ difference is driven almost entirely by the single point $N=1110$, and the $N=300/500/800/1110$ values are nested subsets (not independent samples) while the GOE column is regenerated independently per $N$ --- unequal noise structures. The direction ($\beta>0$, clearly distinct from $\beta\approx0$) is unaffected. (3) The equispaced peak-position reading $4.000$ was a scanning endpoint landing exactly on the recurrence $\tau=4\pi$ --- constructive; the true criterion is ``fixed peak position: yes/no''. \end{remark} \section{Unification: three layers, one Catalan}\label{sec:unify} The forgetting law has now been quantified on three layers, and all three are the same identity $\Cat(k)=\binom{2k}{k}/(k+1)$ in different clothes: \[ \begin{array}{c|c|c|c} \text{layer}&\text{forgetting factor}&\text{observable}&\text{direction}\\ \hline \text{coefficient}&\times\,1/\Cat(m/2)&\text{weight}&\text{divide}\\ \text{correlation}&\times\,1/\Cat(m)&\text{weight}&\text{divide}\\ \text{spectral (this paper)}&\times\,(k+1)=\binom{2k}{k}/\Cat(k)&\text{moment}&\text{multiply} \end{array} \] The different directions reflect only the observables: the first two layers measure weights, the spectral layer measures moments. The common kernel: \emph{Catalan = structure; forgetting = drifting away from Catalan.} The fifth and sixth formulations of the forgetting law live here: forgetting = losing level repulsion (the Weyl Vandermonde), and the amplitude formulas of Section~\ref{sec:asymptotics} show the fourth appearance of the core dichotomy --- the universal exponent (group) against the fingerprint constants (representation). \section*{Conclusion} The law of forgetting, encountered at three layers of the seven-world program, is reduced here to invariant theory: moments are invariant-tensor dimensions (Theorem~\ref{thm:master}); forgetting is restriction from $G$ to a maximal torus (Definition~\ref{def:forget}); the forgetting factor obeys the rank law $F_k=c_Vk^s(1+\gamma_V/k+\cdots)$ with $s=\#\{\text{positive roots}\}$ and explicit constants, verified across six compact Lie groups with zero free parameters (Section~\ref{sec:allgroups}); and the universal $\mathrm U(N)$ family closes the constants through the Barnes $G$-function and the Mehta normalisation (equation \eqref{eq:RN}). On the arithmetic side the same identity reads Schur's lemma off two elliptic curves (Theorem~\ref{thm:twocopy}) and the Cauchy identity as Rankin--Selberg (Section~\ref{sec:howe}). Everything numerical carries a status label (Remarks~\ref{rem:heavy}, \ref{rem:mehta}, \ref{rem:tauhonest}); everything withdrawn is recorded with its replacement in Appendix~\ref{app:errata}. \appendix \section{Corrections applied in this paper}\label{app:errata} This paper incorporates, in corrected form, the following entries from the compendium's revision log (the compendium records 69 entries; only those touching this paper's material are listed). Each entry was found by the project's own checks; the countermeasures are part of the method. {\small \begin{longtable}{@{}c|p{0.52\textwidth}p{0.34\textwidth}@{}} \toprule \#&Error (as made)&Correction (as used here)\\ \midrule \endfirsthead \toprule \#&Error (as made)&Correction (as used here)\\ \midrule \endhead 20&$F(N,3)$ at $N{=}5$ written $88.5$&$545/6=90.8333$ ($F$ is an exact cubic for $k\ge3$)\\ 21&$W_3(3),W_4(3)$ written $2762/15793$&$2761/15767$ (A005802); $2762/15793$ are A061552 (another Wilf class), misplanted from memory\\ 22&Claimed $\mathrm U(3)$ moments are six-fold Bessel moments&Retracted: one-dimensional Bessel moments cover only $N{=}2$; $N\ge3$ is an $(N{-}1)$-dimensional torus integral; the correct Bessel object is the GF $I_0(2\sqrt z)^N$\\ 23&$\langle\chi^2\rangle=$ irreducible-component count; $E\times E$ read as $2$ not $4$&$\sum_\mu m_\mu^2=\dim\End_G(V)$; $E\times E$ gives $4$ (Corollary~\ref{cor:23})\\ 24&$E\times E$ high moments blamed on arcsine endpoint divergence&Endpoints vanish ($\sim(4-|\chi|)^{3/2}$); the cause is the heavy tail\\ 25&$c_V=1/384$ for $\mathrm{USp}(4)$-std&$1/24$; $h_8=16\theta_1^2\theta_2^2(\theta_1^2-\theta_2^2)^2$, $\langle h_8\rangle=3072$ (small-angle mis-multiplication $4^2$, $16\times$)\\ 26&$R_4=1/384$, $R_5=3.5556\times10^{-7}$&$R_4=1/768$, $R_5=3.6411\times10^{-7}$ (caught by the $c_N/c_N'$ purely algebraic self-consistency check)\\ 27&Reflection symmetry $U_k(N)=U_N(k)$, ``36 entries all hit''&False: $U_2(3)=15\neq20=U_3(2)$ (Prop.~\ref{prop:retract}); the ``verification'' copied one row twice; the true symmetry is Howe duality\\ 28&``$U_k$ is only an $N{=}2$ coincidence''; used $U_k(2r)$ vs $r{=}2$&Correct object $U_k(r)$, $r=$ rank not $2r$ (Thm.~\ref{thm:vert}); $r{=}2,k{=}1\to4$, $r{=}3,k{=}1\to6$ (measured $6.003$)\\ 29&Valley at $n_{\mathrm{peak}}\approx2\log_2 p$; valley floor $=\mathrm{Per}_p$&Both falsified: measured valley does not obey $2\log_2 p$; the same closed form substituted back gives $n_{\mathrm{peak}}=p/\sqrt3=O(p)$ (self-contradictory from the start); $\Phi\sim0.2$--$0.3$ vs $\mathrm{Per}_p\sim\sqrt p$\\ 30&``Power law and essential singularity form a continuous family''&Refined: two branches of one quadrature $N=\int\frac{dv}{\eta v+v^2+\Delta}$, but two geometries (perturbation in initial condition vs in constant term); rupture only in two-parameter models at disc $=0$\\ 40&USp(4)-Ad $T$-invariants read $12,616,42024,\ldots$&Probability version (return probability $[y^0](\mathrm{poly}/|W|)^{2k}$); the counting version multiplies by $|W|^{2k}=10^{2k}$ ($k{=}1$: $1200$ not $12$). Both conventions valid but must be used consistently.\\ 46&``Mehta lemma'' $E[\Delta^2]=(2\sigma^2)^{\binom N2}\prod j!$&The $2^{\binom N2}$ factor is spurious: $E[\Delta^2]=(\sigma^2)^{\binom N2}\prod_{j=1}^{N}j!$ (Andreief); Monte-Carlo adjudication ($N{=}3$: $11.9291\pm0.0449$, $1.6\sigma$ from $12$, $1870\sigma$ from $96$)\\ 48&$q$-Howe with Gaussian binomial RHS&Falsified ($9\neq15$ at $m{=}1,N{=}k{=}2,q{=}2$); correct form is the Cauchy identity $h_m$ of the rectangle (Corollary~\ref{cor:qhowe})\\ \bottomrule \end{longtable}} \emph{Standing countermeasures} (extracted from the log): never trust $\ln F/\ln k$ for power extraction (Remark~\ref{rem:lnln}); small rms $\ne$ unbiased parameters (Remark~\ref{rem:rms}); heavy-tail moments above the second are not credible (Remark~\ref{rem:heavy}); high moments of $\chi$ are dominated by the $|x|\approx4$ tail; never use AFE-based self-checks to adjudicate functional-equation parameters. \begin{thebibliography}{9} \bibitem{ds} P.~Diaconis, M.~Shahshahani, \emph{On the eigenvalues of random matrices}, J.~Appl.\ Probab.\ \textbf{31A} (1994), 49--62. \bibitem{rains} E.~Rains, \emph{High powers of random elements of compact Lie groups}, Probab.\ Theory Related Fields \textbf{107} (1997), 219--241. \bibitem{mehta} M.~L.~Mehta, \emph{Random Matrices}, 3rd ed., Elsevier, 2004. \bibitem{howe} R.~Howe, \emph{Perspectives on invariant theory: Schur duality, multiplicity-free actions and beyond}, Israel Math.\ Conf.\ Proc.\ \textbf{8} (1995), 1--182. \bibitem{clausen} T.~Clausen, \emph{\"Uber die F\"alle, wenn die Reihe $y=1+\frac{\alpha\cdot\beta}{1\cdot\gamma}x+\cdots$ ein Quadrat von der Form $y=1+\frac{\alpha'\beta'\gamma'}{1\cdot\delta'\epsilon'}x+\cdots$ hat}, J.\ Reine Angew.\ Math.\ \textbf{3} (1828), 89--91. \bibitem{domb} G.~Domb, \emph{On the theory of cooperative phenomena in crystals}, Adv.\ Phys.\ \textbf{9} (1960), 149--361. \bibitem{cc} G.~C\'esnavici\=jus, and BSD reference literature: J.~Silverman, \emph{The Arithmetic of Elliptic Curves}, 2nd ed., Springer, 2009. \bibitem{st} J.~H.~Silverman, \emph{Advanced Topics in the Arithmetic of Elliptic Curves}, Springer, 1994 (Sato--Tate conjecture, moments). \bibitem{km} H.~Kesten, \emph{Symmetric random walks on groups}, Trans.\ Amer.\ Math.\ Soc.\ \textbf{92} (1959), 336--354; B.~McKay, \emph{The expected eigenvalue distribution of a large regular graph}, Linear Algebra Appl.\ \textbf{40} (1981), 203--216. \end{thebibliography} \end{document}