All the ways to build positive definite matrices

In summary, the conversation discusses various ways to generate positive definite matrices, including building matrices with given vectors or diagonal matrices, using diagonal dominant matrices, and taking products or submatrices of positive definite matrices. The conversation also mentions additional methods not explicitly mentioned, such as solving a quadratic polynomial equation or using symmetric matrices.
  • #1
lukluk
8
0
Often people asks how to obtain a positive definite matrix. I would like to make a list of all possible ways to generate positive definite matrices (I consider only square real matrices here). Please help me to complete it.

Here M is any matrix, P any positive definite matrix and D any diagonal matrix.

1) given a vector v, build a matrix with entries
vTivj
(T is transpose)
2) given any matrix M, build
MMT
3) any diagonal matrix with positive entries
4) any diagonal dominant matrix with positive entries
5) the product
M D MT
where D is a diagonal matrix with positive entries
6) if P1,P2 are positive definite matrices then
P1 P2
P1 +P2
are also positive definite
7) if P is positive definite then also
M P M-1
P-1
are positive definite
9) the matrix with blocks
P1 M
MT P2
is positive definite
10) the product
aP
of a positive scalar a times a positive definite matrix P
11) any submatrix formed as the upper left square matrix of a positive definite matrix (principal minor) is also
a positive definite matrix

...

do you know other ways not trivially reconducible to one of the above?
 
Last edited:
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  • #2
You want to solve the quadratic polynomial equation ##\displaystyle{\sum_{i,j}} a_{ij}x_ix_j>0## for all possible ##x_\, , \,\text{not all }x_i=0##. If we let run the ##x## through ##(1,0,\ldots,0),\ldots,(0,\ldots,0,1)## then we get ##n## linear constraints for ##n^2## variables ##a_{ij}##. These are really many possible solutions. E.g. any symmetric real square matrix ##A## is positive definite, if ##A=GG^\tau ## with a regular lower triangular matrix. See also https://en.wikipedia.org/wiki/Definiteness_of_a_matrix
 

Related to All the ways to build positive definite matrices

1. What is a positive definite matrix?

A positive definite matrix is a square matrix in which all eigenvalues are positive. In other words, all of its diagonal entries are positive and all of its principal minors (determinants of submatrices) are positive.

2. Why is it important to build positive definite matrices?

Positive definite matrices have many important applications in mathematics, statistics, and engineering. They are used in optimization problems, least squares regression, and in solving systems of linear equations. Additionally, they have important theoretical properties that make them useful in many areas of mathematics.

3. What are some common ways to construct positive definite matrices?

There are several ways to construct positive definite matrices, including: using the Cholesky decomposition, forming linear combinations of known positive definite matrices, and multiplying a matrix by its transpose. Other methods include using the spectral theorem or generating random matrices and adjusting their eigenvalues.

4. Can positive definite matrices be built from non-positive definite matrices?

Yes, it is possible to transform a non-positive definite matrix into a positive definite matrix by applying certain operations such as adding a multiple of the identity matrix or taking the matrix's absolute values. However, there is no guarantee that these methods will always result in a positive definite matrix.

5. Are there any special properties of positive definite matrices?

Yes, positive definite matrices have several important properties. For example, they are symmetric, invertible, and have positive definite determinants. They also have unique square roots and are diagonalizable. These properties make them useful in many applications and in theoretical discussions.

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