Cross product in matrix determinant form

In summary, the cross product is defined as the vector that is normal to the plane of two given vectors a and b, with a magnitude equal to the area of the parallelogram formed by a and b. It can also be represented in matrix form, but this is simply a shorthand notation and does not agree with the definition of the determinant. Another characterization of the cross product is that it is the unique vector that satisfies certain properties related to the volume of a parallelepiped.
  • #1
Nick R
70
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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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  • #2
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.
 
  • #3
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)
 

FAQ: Cross product in matrix determinant form

What is the cross product in matrix determinant form?

The cross product in matrix determinant form is a mathematical operation that takes two vectors in three-dimensional space and produces a third vector that is perpendicular to both of the original vectors. It is represented by the symbol "×" and is often used in physics, engineering, and computer graphics.

How is the cross product calculated using matrix determinant form?

To calculate the cross product using matrix determinant form, you first arrange the two vectors in a 3x3 matrix, with the first vector as the first row and the second vector as the second row. Then, you calculate the determinant of the matrix, which results in a single value. This value represents the magnitude of the resulting vector, and the direction can be determined using the right-hand rule.

What is the significance of the cross product in matrix determinant form?

The cross product in matrix determinant form has several important applications in mathematics and physics. It is used to find the area of a parallelogram, calculate the torque of a force, and determine the direction of a magnetic field. It is also used in 3D graphics programming to create realistic lighting effects and simulate physical interactions.

Can the cross product be calculated for vectors in higher dimensions?

No, the cross product using matrix determinant form can only be calculated for vectors in three-dimensional space. This is because the determinant of a matrix can only be calculated for square matrices, and a 3x3 matrix is the largest square matrix that can be formed from two three-dimensional vectors.

Are there any other ways to calculate the cross product besides matrix determinant form?

Yes, there are other ways to calculate the cross product, including using the scalar triple product and vector components. However, the matrix determinant form is often preferred due to its simplicity and ability to easily find the direction of the resulting vector. It is also more efficient for computer calculations compared to other methods.

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