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Vector Projection

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Consider two vectors v and u. The purpose of this section is to show how to compute the projection of vector u onto vector v.

The vector puv is the projection of vector u on vector v.

As v and puv share the same direction, and assuming the v is normalized, puv can be defined as:

where |puv| stands for the length of puv. So finding out |puv| allows us to easily find vector puv. The relation between the length of u and puv is given by the cosine of the angle between them.

The definition of the dot product says that

Hence, the value of the length of vector puv is:

So, looking back at the first equation, vector puv is defined as:

If vector v is normalized, i.e. it has unit length, then the division can be spared.

 

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2 Responses to “Vector Projection”

  1. Note that this final formula for puv already assumes that v is normalized. If v is not normalized, then you have to divide by the square of |v|, instead of just |v|. So, if v is not normalized, you need to use the formula:

    puv = ( Dot(v,u) / (|v|^2) ) * v

  2. send me worked examples

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