Difference between revisions of "Matrices"

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This article deals with some fundamental matrix features and the basic arithmetic operations.
 
This article deals with some fundamental matrix features and the basic arithmetic operations.
  
Matrices can have arbitrary dimensions. In the context of robotics mainly 3-by-3 or 4-by-4 matrices are used. An example of a 3-by-3 matrix is:
+
Matrices can have arbitrary dimensions. A matrix with m rows and n colums is denoted as an m-by-n matrix. In the context of robotics mainly 3-by-3 or 4-by-4 matrices are used. An example of a 3-by-3 matrix is:
 
:<math>
 
:<math>
 
\mathbf{M}=\left[
 
\mathbf{M}=\left[
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\end{array}\right]
 
\end{array}\right]
 
</math>
 
</math>
 +
In the following subarticles some basic arithmetic operations for matrices are described.

Revision as of 15:27, 15 May 2014

This article deals with some fundamental matrix features and the basic arithmetic operations.

Matrices can have arbitrary dimensions. A matrix with m rows and n colums is denoted as an m-by-n matrix. In the context of robotics mainly 3-by-3 or 4-by-4 matrices are used. An example of a 3-by-3 matrix is:


\mathbf{M}=\left[
\begin{array}{ccc}
a_{11} & a_{12} & a_{13}\\
a_{21} & a_{22} & a_{23}\\
a_{31} & a_{32} & a_{33}
\end{array}\right]

Individual colums and rows are often denoted as column vectors and row vectors. For the example matrix the column vectors are


\left[
\begin{array}{c}
a_{11}\\
a_{21}\\
a_{31}
\end{array}\right], 
\left[
\begin{array}{c}
a_{12}\\
a_{22}\\
a_{32}
\end{array}\right],\text{and }
\left[
\begin{array}{c}
a_{13}\\
a_{23}\\
a_{33}
\end{array}\right]

and the row vectors are


\left[
\begin{array}{ccc}
a_{11} & a_{12} & a_{13}
\end{array}\right], 
\left[
\begin{array}{ccc}
a_{21} & a_{22} & a_{23}
\end{array}\right],\text{and }
\left[
\begin{array}{ccc}
a_{31} & a_{32} & a_{33}
\end{array}\right]

In the following subarticles some basic arithmetic operations for matrices are described.