<?xml version="1.0" encoding="UTF-8"?>

<record version="3" id="3479">
 <title>Hilbert matrix</title>
 <name>HilbertMatrix</name>
 <created>2002-09-28 12:53:48</created>
 <modified>2005-06-24 11:15:00</modified>
 <type>Definition</type>
 <creator id="40" name="Daume"/>
 <author id="40" name="Daume"/>
 <author id="2" name="akrowne"/>
 <classification>
	<category scheme="msc" code="65F35"/>
	<category scheme="msc" code="15A12"/>
	<category scheme="msc" code="15A09"/>
	<category scheme="msc" code="15A57"/>
 </classification>
 <preamble>\usepackage{amssymb}
\usepackage{amsmath}
\usepackage{amsfonts}

%\usepackage{psfrag}
%\usepackage{graphicx}
%\usepackage{xypic}</preamble>
 <content>\section{Hilbert Matrix}

A \emph{Hilbert matrix} $H$ of order $n$ is a square matrix defined by

$$ H_{ij} = \frac{1}{i + j - 1} $$

An example of a Hilbert matrix when $n = 5$ is 

$$ \begin{bmatrix}
  \frac{1}{1} &amp; \frac{1}{2} &amp; \frac{1}{3} &amp; \frac{1}{4} &amp; \frac{1}{5} \\
  \frac{1}{2} &amp; \frac{1}{3} &amp; \frac{1}{4} &amp; \frac{1}{5} &amp; \frac{1}{6} \\
  \frac{1}{3} &amp; \frac{1}{4} &amp; \frac{1}{5} &amp; \frac{1}{6} &amp; \frac{1}{7} \\
  \frac{1}{4} &amp; \frac{1}{5} &amp; \frac{1}{6} &amp; \frac{1}{7} &amp; \frac{1}{8} \\
  \frac{1}{5} &amp; \frac{1}{6} &amp; \frac{1}{7} &amp; \frac{1}{8} &amp; \frac{1}{9}
\end{bmatrix} $$

Hilbert matrices are ill-conditioned.

\section{Inverse}

The inverse of a Hilbert matrix  $H^{-1}\in M_N(\mathbb{R})$ is given by

$$ H^{-1}_{ij} = (-1)^{i+j}(i+j-1){N+i-1 \choose N-j}{N+j-1 \choose N-i}{i+j-2 \choose i-1}^2 $$

An example of an inverted Hilbert matrix when $n=5$ case is:

$$ \begin{bmatrix}
         25    &amp;    -300    &amp;    1050    &amp;   -1400    &amp;     630  \\
        -300   &amp;     4800   &amp;   -18900   &amp;    26880   &amp;   -12600 \\
        1050   &amp;   -18900   &amp;    79380   &amp;  -117600   &amp;    56700 \\
       -1400   &amp;    26880   &amp;  -117600   &amp;   179200   &amp;   -88200 \\
         630   &amp;   -12600   &amp;    56700   &amp;   -88200   &amp;    44100 
\end{bmatrix} $$

For more fun with Hilbert matrices, see \cite{Choi}.

\begin{thebibliography}{3}
\bibitem{Choi}  Choi,  Man-Duen. Tricks or Treats with the Hilbert Matrix. American Mathematical Monthly 90, 301-312, 1983.
\end{thebibliography}</content>
</record>
