Section Summary: 13.3 - The dot product

  1. Definitions

    If a tex2html_wrap_inline280 and b tex2html_wrap_inline282 , then the dot product of a and b is the number tex2html_wrap_inline284 given by

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    Two non-zero vectors a and b are called perpendicular or orthogonal if the angle between them is tex2html_wrap_inline286 .

    The direction angles of a non-zero vector a are the angles tex2html_wrap_inline288 , tex2html_wrap_inline290 , and tex2html_wrap_inline292 that the vector makes with the positive x-, y-, and z-axes. The cosines of these angles are called the direction cosines.

    The vector projection of b onto a is

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    The scalar projection of b onto a is

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    In particular, the unit vector created from a would be

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    The vector with the same direction, but unit length.

  2. Theorems

    If tex2html_wrap_inline300 is the angle between vectors a and b, then

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    Corollary:

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    Hence, a and b are orthogonal (i.e. perpendicular) tex2html_wrap_inline302 tex2html_wrap_inline304

  3. Properties/Tricks/Hints/Etc.

    Properties of the dot product:

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  4. Summary

    The dot product is a way of combining two vectors to get a scalar (i.e., a number). It effectively measures the shadow that one vector casts on the other, and if the dot product is zero, the two vectors are orthogonal (i.e. perpendicular).




Wed Oct 29 18:49:47 EST 2003