Why does the half of the absolute value of a matrix formed with its coordinates give

In summary, the half of the absolute value of a matrix formed with its coordinates gives the area of a triangle because half the area of a parallelogram is the area of a triangle. This is due to the formula for the volume of a parallelepiped being easiest to understand in 3 dimensions, where it is equivalent to the area of the parallelogram spanned by two vectors. This is the well-known formula for the magnitude of the cross product of two vectors.
  • #1
BlueRope
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Why does the half of the absolute value of a matrix formed with its coordinates give the area of a triangle?


I don't see any similarity between that and the heron's formula.
 
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  • #2


You mean determinant.
 
  • #3


Yeah, why is that?
 
  • #4


The reason is because half the area of a parallelogram is the area of a triangle. Say you have k linearly independent vectors, the volume of the parallelepiped they span is given by the formula:[tex] V(x_1,...,x_k)= \sqrt{det(X^{tr}X)}[/tex]. This formula is easiest to understand in 3 dimensions. Say you have two vectors a and b which are elements of [tex]\mathbb{R}^3[/tex] then the volume formula says that [tex]V(a,b)^2=det\begin{bmatrix}
\|a\|^2 & \langle a,b \rangle \\
\langle b,a \rangle & \|b\|^2 \\
\end{bmatrix} = \|a\|^2\|b\|^2-\langle a,b \rangle^2 = \|a\|^2\|b\|^2(1-\cos^2(\theta)) = \|a\|^2\|b\|^2\sin^2(\theta) [/tex] which is just the area of the parallelogram spanned by a and b. This is the well known formula that magnitude of the cross product of the two vectors is the area of the parallelogram spanned by the two vectors.
 
  • #5
Can you please provide more context or explanation for your statement? Also, what do you mean by "half of the absolute value of a matrix formed with its coordinates"? A matrix is a mathematical object used to represent linear transformations and has no inherent connection to the concept of area. It would be helpful to have more information in order to provide a thorough response.
 

1. Why does the half of the absolute value of a matrix formed with its coordinates give a measure of its size?

The half of the absolute value of a matrix formed with its coordinates gives a measure of its size because it takes into account both the positive and negative values in the matrix. By taking the absolute value, we eliminate any negative values and are left with the sum of all the positive values, which gives us a measure of the size of the matrix.

2. How is this measure of size different from the determinant of a matrix?

The measure of size, which is half of the absolute value of a matrix formed with its coordinates, is different from the determinant of a matrix because the determinant only considers the diagonal elements of the matrix, while the measure of size takes into account all elements in the matrix.

3. Can this measure of size be used for matrices of any size?

Yes, this measure of size can be used for matrices of any size. The formula for calculating this measure involves taking the absolute value and summing all elements in the matrix, which can be applied to matrices of any size.

4. How is this measure of size useful in practical applications?

This measure of size can be useful in practical applications such as image processing, where the size of an image can be calculated using this measure. It can also be used in data analysis to determine the magnitude of a dataset.

5. Is there a relationship between this measure of size and the concept of norm in linear algebra?

Yes, there is a relationship between this measure of size and the concept of norm in linear algebra. The measure of size is essentially the L1 norm, which is the sum of the absolute values of all elements in a matrix. It is one of the many types of norms used in linear algebra to measure the size of a vector or matrix.

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