Linear algebra formalism: Difference between revisions

Created page with "Aspects of tuning theory are often described in the language of '''linear algebra.''' {{Todo|complete intro|inline=1}} == Monzos and vectors == {{Todo|complete section|inline=1}} == Vals and covectors == {{Todo|complete section|inline=1}} == Mappings and matrices == {{Todo|complete section|inline=1}} == Matrix operations == {{Todo|complete section|inline=1}} === Dot product === The dot product is a way to combine two vectors to get out a single number. Say we want..."
 
No edit summary
Line 4: Line 4:


== Monzos and vectors ==
== Monzos and vectors ==
{{Todo|complete section|inline=1}}
{{Todo|complete section|inline=1}}A vector is a list of numbers, written like so: <math> \begin{pmatrix}
-2\\
0\\
1
\end{pmatrix} </math>.


== Vals and covectors ==
== Vals and covectors ==
Line 10: Line 14:


== Mappings and matrices ==
== Mappings and matrices ==
{{Todo|complete section|inline=1}}
{{Todo|complete section|inline=1}}A matrix is a grid of numbers, written like so:
 
<math>
\begin{bmatrix}
1 & 0 & -4\\
0 & 1 & 4
\end{bmatrix}
</math>
 
This matrix can be thought of as a "function" that you apply to a vector to get out another vector. This matrix has 3 columns, meaning the vector it takes as an "input" will have 3 elements, and it has 2 rows, meaning the vector you get out will have 2 elements. So, this is a "function" down from 3-dimensional space to 2-dimensional space.


== Matrix operations ==
== Matrix operations ==