Vector resolute
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The vector resolute (also known as the vector projection) of two vectors, in the direction of (also " on "), is given by:
- or
where θ is the angle between the vectors and and is the unit vector in the direction of .
The vector resolute is a vector, and is the orthogonal projection of the vector onto the vector . The vector resolute is also said to be a component of vector in the direction of vector .
The other component of (perpendicular to ) is given by:
The vector resolute is also the scalar resolute multiplied by (in order to convert it into a vector, or give it direction).
[edit] Vector resolute overview
If A and B are two vectors, the projection of A on B(denoted C) is the vector that has the same slope as B with the length:
To calculate C we need the definition of the dotproduct:
Let's start:
Multiply and divide by | B | at the same time:
Recognize the top term? Same as the dotproduct, so we get this:
Great, now we can get the length of | C | without knowing θ But we still don't have the direction of it, we have to multiply it with the normalized vector B:
Which is our final formula:
[edit] Uses
The vector projection is an important operation in the Graham-Schmidt orthonormalization of vector space bases.