How to find the scalar and vector projections of one vector onto another
What are scalar and vector projections?
Scalar projections
The scalar projection of one vector onto another (also called the component of one vector along another), is
where is the dot product of the vectors and , and is the length of (also called the magnitude of ).
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Vector projections
The vector projection of one vector onto another is like a shadow that one vector casts on another vector. For example, the projection of green onto orange is blue:
where is the dot product of the vectors and , and is the length of (also called the magnitude of ).
How to find the scalar and vector projections of one vector onto another
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A step-by-step example of how to find the scalar projections and vector projections
Example
Find the scalar and vector projections of onto .
Since we use the value of the scalar projection in the formula for the vector projection, we’ll start by finding the scalar projection. We’ll need the dot product of and and the magnitude of .
We’ll convert the given vector equations into the form
We’ll take the dot product.
Since we use the value of the scalar projection in the formula for the vector projection, we’ll start by finding the scalar projection.
We’ll find the magnitude (length) of using the distance formula. Remember, the terminal point of is and the initial point of is .
We’ll plug and into the formula for the scalar projection.
Since we have the scalar projection, we already have everything we need to find the vector projection.
To summarize our findings, we’ll say that
the scalar projection of onto is
the vector projection of onto is