Cross product in matrix determinant form

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The cross product is defined using a specific formula involving the components of two vectors, resulting in a vector that is normal to the plane formed by those vectors. It can also be expressed in terms of the determinant, which relates to the volume of the parallelepiped spanned by the vectors. The magnitude of the cross product corresponds to the area of the parallelogram formed by the two vectors, linking it to geometric interpretations. While the matrix determinant form serves as a useful notation for computation, it does not align with the traditional definition of determinants as functions mapping matrices to real numbers. The discussion highlights the connection between the cross product, determinants, and geometric properties in higher dimensions.
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)
 
Here is a little puzzle from the book 100 Geometric Games by Pierre Berloquin. The side of a small square is one meter long and the side of a larger square one and a half meters long. One vertex of the large square is at the center of the small square. The side of the large square cuts two sides of the small square into one- third parts and two-thirds parts. What is the area where the squares overlap?

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