Motivation and proof behind cross products

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Discussion Overview

The discussion revolves around the motivation and proof behind the concept of cross products in vector mathematics. Participants explore the geometric and algebraic interpretations of the cross product, particularly its relationship to the area of parallelograms and its orthogonal nature.

Discussion Character

  • Exploratory
  • Technical explanation
  • Conceptual clarification
  • Debate/contested

Main Points Raised

  • One participant suggests that the cross product is related to the determinant of a 3x3 matrix, emphasizing its connection to the volume of a parallelepiped and the orthogonal vector it produces.
  • Another participant points out that the cross product provides not only the area of the parallelogram but also the orientation of the vectors involved, noting that the orientation of A x B is opposite to that of B x A.
  • Several participants question the necessity of defining the cross product as orthogonal to the plane, proposing that it could be defined simply as a magnitude with sign flipping to indicate orientation.
  • One participant argues that defining the cross product as orthogonal is essential for understanding the orientation of the plane in three-dimensional space and for calculating volumes when combined with other vectors.
  • Another participant highlights the importance of vector representation in angular momentum, suggesting that scalar representations would be insufficient in general cases.

Areas of Agreement / Disagreement

Participants express differing views on the definition and implications of the cross product, particularly regarding its orthogonality and the necessity of vector representation versus scalar representation. The discussion remains unresolved with multiple competing perspectives.

Contextual Notes

Some participants' arguments depend on specific interpretations of vector operations and the geometric implications of the cross product, which may not be universally agreed upon.

Terrell
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this question is a repost from math stackexchange because that guy worded the question so perfectly the question i really wanted to ask about cross products. *please see image below*

as far i can understand, the formula for the cross product is basically that the idea of a cross product is sort of symmetrical to the idea of taking the determinant of a 3x3 matrix(or volume of a parallelepiped) which involves a vector orthogonal to the plane formed by two vectors. and by setting i=<1,0,0>, j=<0,1,0> and, k=<0,0,1>... we in turn get iC_11 + jC_12 + kC_13 such that C_ij are cofactors. thus, the reason why when we take the magnitude of the orthogonal vector, we get the same numeric value of the area of the parallelogram.
 

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The cross product gives more than the area of the parallelogram. It also gives the orientation of one vector verses the other and the orientation of the parallelogram within the higher dimensional space. The orientation of vector A x B is the opposite of the orientation of vector B x A.
 
FactChecker said:
The cross product gives more than the area of the parallelogram. It also gives the orientation of one vector verses the other and the orientation of the parallelogram within the higher dimensional space. The orientation of vector A x B is the opposite of the orientation of vector B x A.
why do we have to define the cross product as something orthogonal to the plane. why not just a value for magnitude? and flipping of signs to indicate orientation...?
 
Terrell said:
why do we have to define the cross product as something orthogonal to the plane. why not just a value for magnitude? and flipping of signs to indicate orientation...?
Then you wouldn't know the orientation of the plane in 3-space. It's nice to have a vector that can be 'dotted' with a third vector (not in the plane) to calculate the volume of a parallelepiped.
 
Last edited:
Terrell said:
why do we have to define the cross product as something orthogonal to the plane. why not just a value for magnitude? and flipping of signs to indicate orientation...?

Angular momentum, for example, is a vector quantity and follows vector addition. If the angular momenta of two particles were scalars relative to different planes, there would be no way to add them. You can get away with angular momentum as a (signed) scalar as long as all vectors are in a common plane. In the general case, however, you need the full vector representation.
 
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thank you all!
 

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