Matrices Math: What is a Determinant?

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Discussion Overview

The discussion revolves around the concept of determinants in matrices, exploring their definitions, functions, and applications in mathematics. Participants delve into both theoretical aspects and practical implications, including their role in linear algebra and geometry.

Discussion Character

  • Exploratory
  • Technical explanation
  • Conceptual clarification
  • Homework-related

Main Points Raised

  • One participant seeks clarification on the meaning and function of determinants in matrices.
  • Another participant provides a specific example of calculating the determinant of a 2x2 matrix, expressing it as det(A) = (a1*b2 - b1*a2).
  • Several participants question the purpose of calculating the determinant, prompting discussions on its significance.
  • It is suggested that determinants are useful for determining the solvability of linear equation systems and have applications in quantum mechanics.
  • One participant outlines a theorem linking the determinant to properties of matrices, such as invertibility and linear independence of rows and columns.
  • Another participant mentions that determinants can be used to compute oriented areas in 2-D and oriented volumes in higher dimensions.
  • It is noted that the determinant indicates how a linear transformation affects volumes when applied to vectors defining a parallelepiped.

Areas of Agreement / Disagreement

Participants express various viewpoints on the significance and applications of determinants, but there is no consensus on a singular purpose or definition. Multiple competing ideas and examples are presented without resolution.

Contextual Notes

Some discussions involve assumptions about the properties of matrices and the conditions under which determinants are computed, but these are not fully explored or resolved.

yuenkf
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  1. sorry. erm.. what does the determinant means or functions in matrices , math? thanks..
 
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Example:
Define a square matrix(just for simplicity) A with a1 and b1 in the top row and and a2 and b2 in the second row and a in the first columm and bs in the second columm.The determinant of the matrix would be
det(A)=(a1*b2-b1*a2)
Which you could also write with two vertical lines, like the abs value.
 
why we want to get the determinant?
 
One can show that linear equation systems have solutions for exapmle. It comes n handy all the time. Another example would be that one can write many equation in quantum mechanocs much more elegant that way.
 
yuenkf said:
why we want to get the determinant?
There's a theorem that says that the following statements about an arbitrary ##n\times n##-matrix ##A## are equivalent:

(a) ##\det A\neq 0##.
(b) A is invertible
(c) The rows of A are linearly independent elements of ##\mathbb R^n##.
(d) The columns of A are linearly independent elements of ##\mathbb R^n##.

So if you're interested in finding out if any of the statements (b)-(d) is true, you just compute ##\det A##.

The case n=2 is easy to prove. If you define a,b,c,d by ##A=\begin{pmatrix}a & b\\ c & d\end{pmatrix}## you can show that if ##A## has an inverse, it has to be
$$\frac{1}{ad-bc}\begin{pmatrix}d & -b\\ -c & a\end{pmatrix}.$$ So if ##ad-bc## (the determinant of A) is zero, then ##A## isn't invertible.
 
yuenkf said:
why we want to get the determinant?

In applications, the determinant can used (in 2-D) to compute the "oriented" area of a parallelogram whose sides are given by 2 row vectors. In higher dimensions, it can be used to compute an "oriented" volume.

Thinking a square matrix M applied as a linear transformation to a vector x, T(x) = Mx, the determinant of M indicates how T expands or contracts volumes (when T is applied to each vector defining a side of a pareallelepiped to produce a transformed parallelepiped).
 
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