Looking for insight into what the Determinant means....

Click For Summary
SUMMARY

The discussion centers on the interpretation and significance of the determinant in linear algebra, particularly in the context of MIT's OpenCourseWare Intro to Linear Algebra. The participant has explored the derivation of determinants using properties such as det(I) = 1, row swaps, and linearity, and has demonstrated how determinants relate to matrix singularity and the geometric interpretation of volume. The determinant's absolute value represents the n-dimensional volume of a parallelotope formed by the matrix's row vectors, with a non-zero determinant indicating the existence of an inverse matrix.

PREREQUISITES
  • Understanding of matrix operations and properties
  • Familiarity with linear transformations
  • Basic knowledge of geometric interpretations in linear algebra
  • Experience with MIT OCW resources, specifically the Intro to Linear Algebra course
NEXT STEPS
  • Study the geometric interpretation of determinants in higher dimensions
  • Learn about the implications of matrix singularity and invertibility
  • Explore the relationship between determinants and eigenvalues
  • Investigate the applications of determinants in solving linear systems
USEFUL FOR

Students of linear algebra, educators teaching matrix theory, and anyone interested in the geometric applications of determinants in mathematics.

kostoglotov
Messages
231
Reaction score
6
In HS they just taught you the formula for it (the cofactor method) and a few other things, such as det(A) = 0 means A is singular.

I finally reached Ch 5 of MIT OCW Intro to Linear Algebra, and I was really hoping that seeing how determinants are derived from first principles would give me some insight into what the determinant means...aside from whether or not the matrix is singular. I can follow the derivation, through the Big Formula, using the first three properties (det(I) = 1, row swap multiplies by -1, and linearity of determinants).

I have seen how the A \times adj(A) = det(A)\times I

I have shown myself how the determinant for a 2x2 and 3x3 matrix arises purely from elimination, and considering the case if the last pivot is zero.

Ie:

\begin{bmatrix}a & b\\ 0 & d-\frac{bc}{a}\end{bmatrix}

and

BDjXWcn.gif


imgur link: http://i.imgur.com/BDjXWcn.gif

What I've learned now just begs a further question, rather than, "why is the determinant important/ what does the determinant means?", I am now wondering, "what do the pivots, and the product of the pivots mean?" Aside of course from indicating whether or not the matrix is singular.
 
Physics news on Phys.org
The determinant can be interpreted geometrically. If A is an n\times n matrix, then let r_1, r_2, \dotsm, r_n be the n rows of A. The absolute value of the determinant of A would be the n-dimensional voume of the parallelotope corresponding to these n vectors. (Imagine one corner of the polytope at the origin, and n more corners located at r_i.) If the determinant is non-zero, then A has an inverse. Geometrically, this means there is a bijective map f:\mathbb{R}^n \to \mathbb{R}^n such that f(A) = I. That is, there is a linear transformation (namely f(x)=A^{-1}x) that maps the parallelotope associated with A to the unit parallelotope associated with the identity matrix I. In the case where the determinant (and hence volume) is 0, the parallelotope is degenerate. (In \mathbb{R}^3, one such case would be a box with height 0, so that it is really a flat square inside 3-dimensional space). As your intuition might suggest, any mapping that takes such a degenerate polytope to the unit parallelotope could not possibly be bijective.
 
  • Like
Likes   Reactions: kostoglotov

Similar threads

Replies
13
Views
4K
  • · Replies 3 ·
Replies
3
Views
2K
Replies
2
Views
2K
  • · Replies 8 ·
Replies
8
Views
2K
  • · Replies 2 ·
Replies
2
Views
2K
  • · Replies 19 ·
Replies
19
Views
4K
  • · Replies 6 ·
Replies
6
Views
4K
Replies
8
Views
2K
Replies
3
Views
2K
  • · Replies 5 ·
Replies
5
Views
2K