Cross product in matrix determinant form

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SUMMARY

The cross product of two vectors, defined as a x b = i(ay*bz - az*by) - j(ax*bz - az*bx) + k(ax*by - ay*bx), can also be expressed in matrix determinant form. This formulation reflects the geometric interpretation of the cross product, linking it to the area of the parallelogram formed by the two vectors. The magnitude of the cross product is equal to the area of this parallelogram, and it is also characterized by the equation a×b = |a||b|(sin θ)n, where n is the unit normal vector and θ is the angle between the vectors. The discussion highlights the connection between the cross product and the determinant, particularly in higher dimensions as described by the Riesz representation theorem.

PREREQUISITES
  • Understanding of vector operations, specifically cross products
  • Familiarity with matrix determinants and their properties
  • Knowledge of geometric interpretations of vector magnitudes
  • Basic comprehension of the Riesz representation theorem
NEXT STEPS
  • Study the geometric interpretation of determinants in linear algebra
  • Explore the Riesz representation theorem and its applications in higher dimensions
  • Learn about the properties of the cross product in three-dimensional space
  • Investigate the relationship between vector calculus and matrix operations
USEFUL FOR

Mathematicians, physics students, and anyone interested in vector calculus and linear algebra, particularly those studying the properties and applications of the cross product and determinants.

Nick R
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Everything I have read indicates that the cross product is simply defined as

a x b = i( ay*bz - az*by) - j( ax*bz - az*bx ) + k( ax*by - ay*bx )

and that it just so happens that there is a shorthand notation of cross product in matrix determinant form.

How is the cross product formulated? Is it worked out geometrically, or does it reflect some property of the determinant? Or either?

The most revealing thing I have run into so far is that on mathworld it says the determinant of a square matrix has the interpretation of the "content of the parallel piped spanning the column vectors". As I recall the magnitude of the cross product is equal to the area of the parallogram associated with the 2 vectors so there must be some sort of link here.
 
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The cross product a×b can also be defined as

a×b=|a||b|(sin θ)n

where n is the unit normal to the plane of a and b and θ is the angle

between a and b.

a×b is a vector that is normal to the plane of a and b with a

magnitude equal to the area of a paralellogram with sides a and b.
 
I assume that the shorthand notation of cross product in matrix determinant form you are talking about is this thing: http://en.wikipedia.org/wiki/Cross_product#Matrix_notation.

But that is only a notation, useful to remember how the cross product is computed, because the entries of that matrix are vectors on the first row, which does not agree with the definition of the determinant as a function from matrices to real numbers.

There is another characterisation of cross product that we can use to generalize the product to higher dimensions. It is that u x v is the unique vector such that <u x v,w> = volume of parallelepiped spanned by u, v and w = det(u v w). (existence and uniqueness of such a vector is guarented by the Riesz representation theorem)
 

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