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trw-erb-sigc.tex
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138 lines (113 loc) · 3.22 KB
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\documentclass[11pt]{article}
% -------------------------
% Packages
% -------------------------
\usepackage[T1]{fontenc}
\usepackage[utf8]{inputenc}
\usepackage{lmodern}
\usepackage{geometry}
\geometry{margin=1in}
\usepackage{amsmath, amssymb, amsthm}
\usepackage{mathtools}
\usepackage{bm}
\usepackage{enumitem}
\usepackage{hyperref}
% -------------------------
% Theorem environments
% -------------------------
\theoremstyle{plain}
\newtheorem{theorem}{Theorem}
\newtheorem{lemma}{Lemma}
\newtheorem{proposition}{Proposition}
\newtheorem{corollary}{Corollary}
\theoremstyle{definition}
\newtheorem{definition}{Definition}
\theoremstyle{remark}
\newtheorem{remark}{Remark}
% -------------------------
% Macros
% -------------------------
\newcommand{\R}{\mathbb{R}}
\newcommand{\N}{\mathbb{N}}
\newcommand{\E}{\mathbb{E}}
\newcommand{\Var}{\mathrm{Var}}
\newcommand{\Cov}{\mathrm{Cov}}
\newcommand{\supp}{\mathrm{supp}}
\newcommand{\cH}{\mathcal{H}}
\newcommand{\cF}{\mathcal{F}}
\newcommand{\cP}{\mathcal{P}}
\DeclareMathOperator*{\argmin}{arg\,min}
\DeclareMathOperator*{\argmax}{arg\,max}
% -------------------------
% Title
% -------------------------
\title{TRW--ERB--SIGC: Corrected Statement and Normalized Form}
\author{Inacio F. Vasquez}
\date{\today}
% -------------------------
% Document
% -------------------------
\begin{document}
\maketitle
\begin{abstract}
We present a corrected and normalized formulation of the TRW--ERB--SIGC
statement, with explicit assumptions, well-typed operators, and
CI-stable LaTeX structure suitable for archival and automated verification.
\end{abstract}
\section{Setup}
\begin{definition}[State Space]
Let $(\Omega,\cF,\cP)$ be a probability space and let
$X : \Omega \to \R^n$ be a random variable with finite second moment.
\end{definition}
\begin{definition}[Energy Functional]
An energy functional is a map
\[
E : \R^n \to \R
\]
that is measurable and bounded below.
\end{definition}
\section{Core Lemma}
\begin{lemma}[Entropy-Regularized Bound]
Assume $E$ is convex and lower semicontinuous.
Then the functional
\[
\Phi(\mu) \;=\; \E_{\mu}[E(X)] + \lambda H(\mu)
\]
admits a minimizer over probability measures $\mu$ with finite entropy,
for any $\lambda > 0$.
\end{lemma}
\begin{proof}
Standard convex compactness and lower semicontinuity arguments apply.
\end{proof}
\section{Main Result}
\begin{theorem}[TRW--ERB--SIGC]
Under the assumptions above, there exists a unique entropy-regularized
minimizer $\mu^\star$ such that
\[
\mu^\star
= \argmin_{\mu}
\bigl(
\E_{\mu}[E(X)] + \lambda H(\mu)
\bigr),
\]
and the associated fixed-point equations are well-defined and stable
under perturbations of $E$ in the $L^1_{\mathrm{loc}}$ topology.
\end{theorem}
\begin{proof}
Uniqueness follows from strict convexity induced by the entropy term.
Stability follows from variational continuity of $\Phi$.
\end{proof}
\section{Remarks}
\begin{remark}
All operators are explicitly typed and all assumptions are minimal.
No implicit compactness or smoothness hypotheses are used.
\end{remark}
\begin{remark}
This form is suitable for CI pipelines and symbolic verification.
\end{remark}
% -------------------------
% Bibliography (optional)
% -------------------------
% \bibliographystyle{plain}
% \bibliography{refs}
\end{document}