Why does the dot product use cosine?

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SUMMARY

The dot product of two vectors A and B is defined as A·B = AxBx + AyBy + AzBz, and it utilizes the cosine of the angle θ between the vectors due to its geometric interpretation as a projection. Specifically, the dot product can be expressed as A·B = |A||B|cosθ, where |A| and |B| are the magnitudes of the vectors. This relationship demonstrates that the dot product remains invariant under rotations, confirming its dependence on the cosine function. In contrast, the cross product employs the sine function, reflecting its geometric nature related to the area of the parallelogram formed by the vectors.

PREREQUISITES
  • Understanding of vector operations, specifically dot and cross products.
  • Basic knowledge of trigonometric functions, particularly sine and cosine.
  • Familiarity with geometric interpretations of vectors in Euclidean space.
  • Concept of inner products in vector spaces.
NEXT STEPS
  • Study the geometric interpretations of the dot and cross products in vector calculus.
  • Explore the properties of inner products in different vector spaces.
  • Learn about the applications of dot and cross products in physics and engineering.
  • Investigate the significance of projections in higher-dimensional spaces.
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Students of mathematics, physics, and engineering, particularly those studying vector calculus and linear algebra, will benefit from this discussion.

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What is significance of the trig functions in both the cross and the dot product? I understand what the dot and cross products are, how they work, and what they give...but I don't understand why the dot product uses cosine and the cross product uses sine?
 
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Actually never mind. I'm reading some proofs and my trig skills are rusty, so it doesn't make any sense. I know how to use cross/dot products and what they do, so that's close enough for me.
 
Let's assume you define the dot product as [itex]A\cdot B = A_xB_x+A_yB_y+A_zB_z[/itex]. You can easily show that rotations don't affect the dot product. If you have two vectors A and B and rotate the system so they are now A' and B', you'll get the same result for the dot product using either pair, i.e. [itex]A\cdot B=A'\cdot B'[/itex]. So you can always perform a rotation so that A points along the x-axis, so that A = |A|(1,0,0). The dot product will therefore equal [itex]A\cdot B = |A|B_{x}[/itex]. Now [itex]B_{x}[/itex] is just the projection of B onto the x-axis, which, using basic trig, is [itex]B_{x} = |B|\cos \theta[/itex], where [itex]\theta[/itex] is the angle B makes with the x-axis, which is also the angle between A and B. So you get [itex]A\cdot B = |A||B|\cos\theta[/itex].

The dot product is a special case of what's called an inner product. The definition above is the inner product for plain old three-dimensional Euclidean space, but other spaces are characterized by having a different inner product. If you have two vectors A and B in such a space, you can use

[tex]\cos\theta=\frac{\langle A,B\rangle}{\sqrt{\langle A,A\rangle}\sqrt{\langle B,B\rangle}}[/tex]

where [itex]\langle A,B\rangle[/itex] is the inner product of A and B, to define angles in this space. In this case, the cosine is there by definition.
 

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