When to us dot versus cross product

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SUMMARY

The discussion clarifies the distinction between dot and cross products in vector mathematics, specifically in the context of squaring the sum of two vectors, expressed as (v_1 + v_2)^2. The dot product is utilized because it calculates the sum of the squares of the vectors and twice the product of their magnitudes and the cosine of the angle between them, resulting in v_1 dot v_1 + 2*v_1 dot v_2 + v_2 dot v_2. In contrast, the cross product measures the area spanned by the vectors and is not applicable in this scenario since it yields zero when applied to a vector with itself.

PREREQUISITES
  • Understanding of vector algebra
  • Familiarity with dot product and cross product definitions
  • Knowledge of trigonometric functions, specifically sine and cosine
  • Basic comprehension of geometric interpretations of vectors
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  • Learn about the geometric significance of the cross product in three-dimensional space
  • Explore vector calculus concepts, particularly in physics applications
  • Investigate the relationship between vector operations and matrix transformations
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Schmigan
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Hi folks,
When you're squaring the sum of two vectors (v_1 + v_2)^2, why is it that it comes out as v_1 dot v_1 plus 2*v_1 dot v_2 plus v_2 dot v_2? Why do we use the dot product here instead of cross product? I understand that dot product is the multiplication of their parallel components, but it seems arbitrary to use dot rather than cross product in this case
 
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dot products: v.w = |v| |w| cos(t), hence these are used to measure lengths and angles.

well i guess it isn't so clear from this description, but cross products are used to measure areas, i.e. |vxw| = |v||w| sin(t).

the reason is that one gives the length of the projection of v onto w, and the other gives the length of the projection of v perpendicular to w, hence gives the height needed to compute area of the parallelogram they span.
 
The cross product of any vector with itself is 0. Not much point in doing that!
 

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