The square root of a 2x2 matrix

In summary, the conversation discusses the way to calculate the square root of a symmetric 2x2 matrix. It is suggested to diagonalize the matrix and then take the square root, which can be done easily since the square root of a diagonal matrix is the diagonal matrix obtained from taking the square root of the diagonal entries. Then, the matrix can be converted back to its original basis. The matrix must have nonnegative eigenvalues for this method to work. In the provided link, the author assumes that r_1 and r_2 are the eigenvalues of the matrix and in step 3, I refers to the identity matrix.
  • #1
onako
86
0
Given a symmetric 2x2 matrix, what would be the way to calculate the square root of it?
Here, http://www.jstor.org/stable/2689616?seq=2 , it is announced that a relatively simple formula
could be applied for the resulting matrix entries, but I could not access it further.

Thanks
 
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  • #2
A symmetric matrix B can be diagonalized.

Let [tex]B = P^{-1}DP[/tex], where P is the matrix with the eigenvector columns, and D is the matrix with the eigenvalues as diagonal entries.
You want a solution to [tex]X^2 = B[/tex], so it's reasonable to expect that X is on the form [tex]P^{-1}D^{\prime}P[/tex] for some diagonal matrix [tex]D^{\prime}[/tex].

Now, we try to solve the equation:

[tex]X^2 = (P^{-1}D^{\prime}P)^2 = P^{-1}D^{\prime 2}P = B = P^{-1}DP \Rightarrow D^{\prime 2 } = D[/tex].

Now you solve this easy equation for [tex]D^{\prime}[/tex], hence determining X.
 
  • #3
In simple words:
* diagonalize the matrix (i.e. move to a basis of eigenvectors)
* take the square root (which is now simple because the square root of a diagonal matrix is the diagonal matrix obtained from taking the square root of the diagonal entries),
* convert back to the original basis (if desired)

The matrix has to be positive semidefinite, so has to have nonnegative eigenvalues. But actually, all of this is probably in your definition of "square root of a matrix"?
 
  • #5
onako said:
Is he assuming that r_1,r_2 are the eigenvalues of A?
Since he writes "Step 1. Find the roots r_1,r_2 ( eigenvalues)", the answer is yes.
In step 3, is I the identity matrix?
Yes.
 

1. What is a 2x2 matrix?

A 2x2 matrix is a rectangular array of numbers or symbols arranged in two rows and two columns. It is commonly used in mathematics and physics to represent linear transformations and vector operations.

2. What is the square root of a 2x2 matrix?

The square root of a 2x2 matrix is another 2x2 matrix that, when multiplied by itself, results in the original matrix. It is denoted as √A, where A is the original matrix.

3. How do you calculate the square root of a 2x2 matrix?

The square root of a 2x2 matrix can be calculated using various methods such as diagonalization, Jordan decomposition, or the Cayley-Hamilton theorem. These methods involve finding the eigenvalues and eigenvectors of the matrix and using them to construct the square root.

4. Can a 2x2 matrix have multiple square roots?

Yes, a 2x2 matrix can have multiple square roots. This is because the square root of a matrix is not unique, and there can be infinitely many matrices that satisfy the definition of a square root.

5. Why is the square root of a 2x2 matrix important?

The square root of a 2x2 matrix is important in various fields of mathematics and sciences. It is used in solving systems of linear equations, calculating eigenvalues and eigenvectors, and in applications such as image processing and quantum mechanics.

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