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        <title>MathWiki - linear_algebra</title>
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       <dc:date>2026-05-15T09:08:52+00:00</dc:date>
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    <item rdf:about="https://mathwiki.cs.ut.ee/doku.php?id=linear_algebra:01_matrices&amp;rev=1418508237&amp;do=diff">
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        <dc:date>2014-12-13T22:03:57+00:00</dc:date>
        <dc:creator>Anonymous (anonymous@undisclosed.example.com)</dc:creator>
        <title>1. Matrices</title>
        <link>https://mathwiki.cs.ut.ee/doku.php?id=linear_algebra:01_matrices&amp;rev=1418508237&amp;do=diff</link>
        <description>1. Matrices
A matrix is a rectangular array of numbers, symbols, or expressions, arranged in rows and columns and surrounded by brackets.

For example

$\begin{pmatrix}2 &amp; 6 &amp; 3 &amp; -5\\15 &amp; 8 &amp; 1 &amp; 14\\2 &amp; 2 &amp; 2 &amp; -8\end{pmatrix},$

$\begin{pmatrix}\cos\alpha &amp; -\sin\alpha\\ \sin\alpha &amp; \cos\alpha\end{pmatrix},$

$\begin{pmatrix}e &amp; 3e\\0 &amp; e\\ \frac{1}{2}e^5-\frac{1}{2}e &amp; e^5 \end{pmatrix},$

$\begin{pmatrix}x^2\\y^2\\z^2\\w^2\end{pmatrix}.$
The size or dimension of a matrix is defined as $m \…</description>
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        <dc:date>2014-01-20T10:38:24+00:00</dc:date>
        <dc:creator>Anonymous (anonymous@undisclosed.example.com)</dc:creator>
        <title>2. Systems of linear equations and matrices</title>
        <link>https://mathwiki.cs.ut.ee/doku.php?id=linear_algebra:02_equations_and_matrices&amp;rev=1390214304&amp;do=diff</link>
        <description>2. Systems of linear equations and matrices
A system of linear equations is a collection of linear equations involving the same set of variables.

For example,

$$
\begin{cases}
5 x_1 + 2 x_2 = 4\\
3 x_1 + 6 x_2 = 7
\end{cases}
$$

is a system of two linear equations, both of then involving two variables $x_1$ and $x_2$ (the unknowns).
The numbers $\ 5,\ 2$$\ 3,\ 6$$\ 4$$\ 7$$m$$n$$(\ast)$\begin{align*}
\left\{
\begin{aligned}
a_{11}x_1 +\, a_{12}x_2\, +\, \dots\, +\, a_{1n}x_n&amp;=b_1\\
a_{21}x_1 …</description>
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        <dc:date>2014-12-13T22:12:58+00:00</dc:date>
        <dc:creator>Anonymous (anonymous@undisclosed.example.com)</dc:creator>
        <title>3. Gaussian elimination algorithm</title>
        <link>https://mathwiki.cs.ut.ee/doku.php?id=linear_algebra:03_gaussian_elimination&amp;rev=1418508778&amp;do=diff</link>
        <description>3. Gaussian elimination algorithm

Gaussian elimination algorithm allows us to solve systems of linear equations.

Let us have a system of linear equations:

$$ 
\begin{pmatrix}
a_{11}&amp;a_{12}&amp;\dots &amp;a_{1n}\\
a_{21}&amp;a_{22}&amp;\dots &amp;a_{2n}\\
\vdots &amp; \vdots &amp;\ddots&amp;\vdots\\
a_{m1}&amp;a_{m2}&amp;\dots &amp;a_{mn}
\end{pmatrix}
\begin{pmatrix}
x_1\\
x_2\\
\vdots\\
x_m
\end{pmatrix}=
\begin{pmatrix}
b_1\\
b_2\\
\vdots\\
b_m
\end{pmatrix}
$$

and its augmented matrix:

$$
\left(\begin{array}{rrrr|r}
a_{11}&amp;a_{12}&amp;…</description>
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        <dc:date>2014-01-20T11:39:37+00:00</dc:date>
        <dc:creator>Anonymous (anonymous@undisclosed.example.com)</dc:creator>
        <title>4. Solving systems of linear equations via invertible matrices</title>
        <link>https://mathwiki.cs.ut.ee/doku.php?id=linear_algebra:04_invertible_matrices&amp;rev=1390217977&amp;do=diff</link>
        <description>4. Solving systems of linear equations via invertible matrices

There is a special matrix denoted by $I$ and referred to as the identity matrix.
It&#039;s number of rows equals to it&#039;s number of columns, and it has ones down the main diagonal (from 
upper left cornet to the lower right corner) and zeroes elsewhere. For example,$\begin{pmatrix}1\end{pmatrix},\ \begin{pmatrix}1&amp;0\\0&amp;1\end{pmatrix},\ \begin{pmatrix}1&amp;0&amp;0\\0&amp;1&amp;0\\0&amp;0&amp;1\end{pmatrix}$$1\times 1$$2\times 2$$3\times 3$$A$$m\times n$$I_n$$n\t…</description>
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