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\documentclass[11pt]{article} | |
\usepackage{fullpage} | |
\usepackage{amsmath} | |
\usepackage{amsfonts} | |
\usepackage{hyperref} | |
\newcommand{\RR}{\mathbb{R}} | |
\newcommand{\bool}{\mathtt{bool}} | |
\pagestyle{empty} | |
\begin{document} | |
This is a translation into linear maps of Knuth's ``computational'' reformulation [1] of Huang's proof of the Sensitivity Conjecture [2]. | |
\medskip | |
Let $(V_n)_{n \ge 0}$ be the sequence of $\RR$-vector spaces defined inductively by | |
\[ | |
V_0 = \RR, \quad V_{n+1} = V_n \oplus V_n. | |
\] | |
Each space $V_n$ has an obvious basis $(e_p)_{p \in Q^n}$ indexed on $Q^n = \bool^n$. | |
Let $(\varepsilon_p : V_n \to \RR)_{p \in Q^n}$ be the dual linear functionals. | |
Let $f_n : V_n \to V_n$ be the linear map defined inductively by | |
\[ | |
f_0 = 0, \quad f_{n+1}(v, w) = (f_n v + w, v - f_n w). | |
\] | |
By induction $f_n^2 v = n v$. | |
Moreover $|\varepsilon_q (f_n e_p)|$ is 1 if $p$ and $q$ are adjacent vertices of the hypercube graph $Q^n$ (which we denote by $p \sim q$) and 0 otherwise. | |
Now let $g_n : V_{n-1} \to V_n$ be defined by | |
\[ | |
g_n v = (f_{n-1} v + \sqrt n v, v). | |
\] | |
Then $g_n$ is injective, so its image is a subspace of $V_n$ of dimension $\dim V_{n-1} = 2^{n-1}$. | |
Furthermore for any $w = g_n v$ in this image we have | |
\begin{align*} | |
f_n w | |
& = f_n (f_{n-1} v + \sqrt n v, v) \\ | |
& = (f_{n-1} f_{n-1} v + \sqrt n f_{n-1} v + v, f_{n-1} v + \sqrt n v - f_{n-1} v) \\ | |
& = (\sqrt n f_{n-1} v + n v, \sqrt n v) \\ | |
& = \sqrt n w. | |
\end{align*} | |
Let $H$ be a subset of $Q^n$ of cardinality at least $2^{n-1} + 1$. | |
The restriction of the basis of $V_n$ to $H$ spans a subspace $W$ of $V_n$ of dimension at least $2^{n-1} + 1$. | |
Since the image of $g_n$ has dimension $2^{n-1}$ and $2^{n-1} + 1 + 2^{n-1} > 2^n$, we can find some nonzero vector $y$ belonging to both $W$ and the image of $g_n$, so that $f_n y = \sqrt n y$. | |
Now write $y = \sum_{p \in H} y_p e_p$ and let $q \in H$ be an index with $|y_q|$ maximal. | |
Then | |
\begin{align*} | |
|\sqrt n y_q| | |
& = |\varepsilon_q (\sqrt n y)| \\ | |
& = \big|\varepsilon_q \big(f_n \big(\sum_{p \in H} y_p e_p \big)\big)\big| \\ | |
& \le \sum_{p \in H} |\varepsilon_q (f_n e_p)| |y_p| \\ | |
& = \sum_{p \in H, p \sim q} |y_p| \\ | |
& \le \sum_{p \in H, p \sim q} |y_q| \\ | |
& = |\{\,p \in H \mid p \sim q\,\}| |y_q| | |
\end{align*} | |
and therefore $q$ has at least $\sqrt n$ neighbors in $H$. | |
\medskip | |
[1]: \url{https://www.cs.stanford.edu/~knuth/papers/huang.pdf} | |
[2]: \url{http://www.mathcs.emory.edu/~hhuan30/papers/sensitivity_1.pdf} | |
\end{document} |
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