tensor_predictors/LaTeX/images/reduction.tex

61 lines
2.0 KiB
TeX

\documentclass{standalone}
\usepackage[T1]{fontenc}
\usepackage{tikz}
\usepackage{amsmath,amssymb}
% matrices
\newcommand*{\mat}[1]{\boldsymbol{#1}}
% tensors (special case for lower case caligraphic letters)
\newcommand*{\ten}[1]{
\ifnum\pdfstrcmp{#1}{`}=1 % lowercase argument
\mathfrak{#1}
\else % uppercase argument
\mathcal{#1}
\fi
}
% matrix transpose
\renewcommand*{\t}[1]{{#1^{T}}}
% Expected Value
\newcommand{\E}{\operatorname{\mathbb{E}}}
\begin{document}
\begin{tikzpicture}[scale = 1.2, line width = 1pt]
\def\rect#1#2#3{
\draw (0, 0, 0) -- (#1, 0, 0) -- (#1, #2, 0) -- (0, #2, 0) -- cycle;
\draw[ ] (#1, 0, -#3) -- (#1, #2, -#3) -- (0, #2, -#3);
\draw[dashed] (#1, 0, -#3) -- (0, 0, -#3) -- (0, #2, -#3);
\draw[dashed] (0, 0, 0) -- (0, 0, -#3);
\draw[ ] (0, #2, 0) -- (0, #2, -#3);
\draw[ ] (#1, 0, 0) -- (#1, 0, -#3);
\draw[ ] (#1, #2, 0) -- (#1, #2, -#3);
}
\begin{scope}[yshift = 1cm, line width = 1pt]
\rect{1.5}{1}{2}
\node[font = \boldmath] at (1, 0.5) {$\ten{R}(\ten{X})$};
\end{scope}
\rect{3}{2}{4}
\node at (2, 0.5) {$\ten{X} - \E\ten{X}$};
\draw[lightgray, line width = 0.7pt] (-2.1, 2) arc (180:270:2);
\draw[fill = lightgray, fill opacity = 0.7] (-2.1, 1) rectangle +(2, 1)
node [pos = 0.5] {$\t{\mat{\beta}_1}$};
\draw[lightgray, line width = 0.7pt, domain = 0:1, smooth, variable = \t]
plot ({0}, {2.1 + 4 * cos(90 * \t)}, {-4 * sin(90 * \t)});
\draw[fill = lightgray, fill opacity = 0.7]
(0, 2.1, 0) -- (0, 2.1, -2) -- (0, 6.1, -2) -- (0, 6.1, 0) -- cycle;
\node[opacity = 0.7, cm={0.66, 0.66, 0, 1, (0, 0)}]
at (0, 5.3, -1.1) {$\t{\mat{\beta}_3}$};
\draw[lightgray, line width = 0.7pt] (0, 5.1) arc (90:0:3);
\draw[fill = lightgray, fill opacity = 0.7] (0, 2.1) rectangle +(1.5, 3)
node [pos = 0.5] {$\t{\mat{\beta}_2}$};
\end{tikzpicture}
\end{document}