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More Than Just the Rotation Matrix

Matrices, an important function in both calculus and linear algebra, can be defined geometrically as a method of writing down the vectors of a coordinate system. So, by definition, a 2x2 matrix is the graph of a parallelogram, formed by the vectors of each column, drawn from the origin of a cartesian plane.

For example, say we have matrix A such that:



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Then, we know that A can be drawn as a parallelogram with vectors:


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and


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drawn from the origin.

Matrices have countless uses; including quantum mechanics, engineering, and programming, and we can manipulate its elements so that the matrix can achieve a specific goal.

One of the most famous matrices is the Identity, or ‘unit’ matrix. Represented by the letter ‘I’, this function is similar to the number 1 in integer multiplication.


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If you multiply any vector or matrix by the identity matrix, you get the value of the multiplicand.


But the identity matrix is not the only special matrix - we can create matrices for transformations, translations, reflections, or even rotations. If you multiply a point, vector, or another matrix by the rotation matrix,


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the result will be a θ° counterclockwise rotation of your original image.

So, if you wanted a matrix A such that it rotates every image by 90° counter clockwise, you would plug in 90° for θ to get:


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since cos(90) = 0 and sin(90) = 1.


While this alone is useful, what if there is something else that the rotation matrix can be used for?

If we take a matrix that rotates by (a+b) counterclockwise,


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we know that we can break the rotation into two different matrices - a counterclockwise rotation by (a) and a counterclockwise rotation by (b), resulting in the following product:


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Thus, we have proved the trigonometric identities:

cos(a+b) = cos a cos b - sin a sin b

and

sin(a+b) = sin a cos b+ cos a sin b

with matrices.


These are but a few of the uses for matrices, but there are so many more!


What is your favorite matrix/use of matrices?


 
 
 

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