Degree of liberty of a matrix 2x2

  • Context: Graduate 
  • Thread starter Thread starter brunotolentin.4
  • Start date Start date
  • Tags Tags
    Degree Matrix
Click For Summary
SUMMARY

The discussion centers on the degrees of freedom in a 2x2 matrix, with participants asserting that a 2x2 matrix has three degrees of freedom despite having four coefficients. The conversation references the general linear group Gl(n, ℝ) and the special linear group Sl(n, ℝ), highlighting that the determinant condition (det A ≠ 0) allows for three independent components to define the fourth. The conclusion is that the degrees of freedom depend on the context and the specific constraints applied to the matrix.

PREREQUISITES
  • Understanding of matrix theory and linear algebra
  • Familiarity with determinants and their properties
  • Knowledge of groups in mathematics, specifically Gl(n, ℝ) and Sl(n, ℝ)
  • Basic concepts of degrees of freedom in mathematical contexts
NEXT STEPS
  • Research the properties of the general linear group Gl(n, ℝ)
  • Study the implications of the determinant condition on matrix invertibility
  • Explore the concept of degrees of freedom in various mathematical contexts
  • Investigate the special linear group Sl(n, ℝ) and its applications
USEFUL FOR

Mathematicians, students of linear algebra, and anyone interested in the properties of matrices and their applications in various mathematical fields.

brunotolentin.4
Messages
6
Reaction score
0
How many degree of liberty exist, actually, in a matrix 2x2 ?

I think that is three! Because the conic equation can be wrote like this:

<br /> \begin{bmatrix}<br /> A &amp; B\\ <br /> C &amp; D<br /> \end{bmatrix}<br /> :\begin{bmatrix}<br /> x^2 &amp; xy\\ <br /> yx &amp; y^2<br /> \end{bmatrix}<br /> +<br /> \begin{bmatrix}<br /> E\\ <br /> F<br /> \end{bmatrix}<br /> \cdot<br /> \begin{bmatrix}<br /> x\\ <br /> y<br /> \end{bmatrix}<br /> +G=0<br />

But, xy = yx, thus ... + Bxy + Cyx +... = ... + (B+C)xy + ...

So: <br /> \begin{bmatrix}<br /> A &amp; (B+C)\\ <br /> 0 &amp; D<br /> \end{bmatrix}<br /> :\begin{bmatrix}<br /> x^2 &amp; xy\\ <br /> yx &amp; y^2<br /> \end{bmatrix}<br /> +<br /> \begin{bmatrix}<br /> E\\ <br /> F<br /> \end{bmatrix}<br /> \cdot<br /> \begin{bmatrix}<br /> x\\ <br /> y<br /> \end{bmatrix}<br /> +G=0<br />

Another example: the coefficients of the equation Ay'' + By' + Cy = 0 has three degree of liberty (A, B and C) and it can be converted in a matrix:

y' = a y + b y'
y'' = c y + d y'

So, exist more and more examples that I could give here. But, the felling that I have is the a matrix 2x2 has 3 degree of liberty, although of has four coefficients... My feeling is correct?
 
Physics news on Phys.org
You are looking for degrees of freedom.
Are the matrices you are looking at the most general?

Look for example at the general linear group ##Gl(n, \mathbb{R})##
This a group containing the ##n\times n## invertible matrices.
You can prove that this group has dimension ##n^2##.

If we take n = 2 you can show this in several ways.
The main thing is that the condition that the matrix is invertible reduces to ##\text{det}A\neq 0##.
So let's say we have such a matrix ##A = \left[a_{ij}\right]##.

The determinant condition is ##\text{det}A = a_{11}a_{22} - a_{12}a_{21} \neq 0##.
It is clear that when we know three components (##a_{11},\,a_{22}\text{ and }a_{12}##), the fourth still has a lot of freedom.
a_{21} \neq \frac{a_{11}a_{22}}{a_{12}}

Clearly there is some symmetry in your examples.
An example is found by considering the Special linear group.
This is the subgroup ##Sl(n, \mathbb{R}) \subset Gl(n, \mathbb{R})## with ##\text{det}A = 1##.
You can see how knowledge of 3 elements gives you the fourth in the case of n = 2.

I'm not entirely familiar with your first notation (what is the colon?).
I also don't understand your point.

The second example is trivial, you start with three coefficients so that will be reflected in your matrix.
 
I agree with Joris L . The number degrees of freedom depend on the context. Would you elaborate on what you are after?
 

Similar threads

  • · Replies 1 ·
Replies
1
Views
4K
  • · Replies 33 ·
2
Replies
33
Views
2K
  • · Replies 10 ·
Replies
10
Views
3K
  • · Replies 24 ·
Replies
24
Views
3K
  • · Replies 5 ·
Replies
5
Views
2K
  • · Replies 8 ·
Replies
8
Views
3K
  • · Replies 6 ·
Replies
6
Views
2K
  • · Replies 27 ·
Replies
27
Views
2K
  • · Replies 2 ·
Replies
2
Views
2K
  • · Replies 5 ·
Replies
5
Views
2K