\(\DeclarePairedDelimiterX{\Set}[2]{\{}{\}}{#1 \nonscript\;\delimsize\vert\nonscript\; #2}\) \( \DeclarePairedDelimiter{\set}{\{}{\}}\) \( \DeclarePairedDelimiter{\parens}{\left(}{\right)}\) \(\DeclarePairedDelimiterX{\innerproduct}[1]{\langle}{\rangle}{#1}\) \(\newcommand{\ip}[1]{\innerproduct{#1}}\) \(\newcommand{\bmat}[1]{\left[\hspace{2.0pt}\begin{matrix}#1\end{matrix}\hspace{2.0pt}\right]}\) \(\newcommand{\barray}[1]{\left[\hspace{2.0pt}\begin{matrix}#1\end{matrix}\hspace{2.0pt}\right]}\) \(\newcommand{\mat}[1]{\begin{matrix}#1\end{matrix}}\) \(\newcommand{\pmat}[1]{\begin{pmatrix}#1\end{pmatrix}}\) \(\newcommand{\mathword}[1]{\mathop{\textup{#1}}}\)
Needs:
Pivoted Row Reductions
Ordered Undirected Graphs
Needed by:
None.
Links:
Sheet PDF
Graph PDF

Elimination Graphs

Why

We want to model the progressive fill-in during Gauss elimination with graphs.

Definition

Let $G = ((V, E), \sigma )$ be an ordered undirected graph with $\nu m{V} = n$. Define $E_0 = E$. The elimination edge sequence of $G$ is a sequence $(E_1, \dots , E_{n-1})$ defined by

\[ \begin{aligned} E_i & = E_{i-1} \union \\ &\Set{\set{v, w}}{v \succ \sigma (i), w \succ \sigma (i), \text{ and } \set{\sigma (i), w} \in E_{i-1}} \end{aligned} \]

for $i = 1, \dots , n-1$. The difference between $E_{i-1}$ and $E$ can be described by saying that the higher neighborhood of the intermediate graph $((V, E_{i-1}), \sigma )$ is made complete by the addition of edges between all non-adjacent vertices.

The elimination graph of $G$ is the graph $((V, E_{n-1}), \sigma )$.

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