LLT-Factorization: Lower Triangular Matrix with Positive Diagonal for 4x3 Matrix

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In summary, to determine the LLT-Factorization for the given matrix, we can let L be an arbitrary lower triangular matrix and compute the entries of LLT in terms of the entries of L. Then we can equate these entries with the corresponding entries in the given matrix and solve for the unknown entries of L. The resulting equations will need to be solved for the 3x3 matrix L, which will give us the desired LLT-Factorization.
  • #1
DeadxBunny
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Homework Statement


Determine directly the LLT-Factorization, in which L is a lower triangular matrix with positive diagonal elements, for the matrix

| 4 1/2 1 |
| 1/2 17/16 1/4 |
| 1 1/4 33/64|

Homework Equations


I don't know.

The Attempt at a Solution


I don't know what to do; please help!

Thanks!
 
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  • #2
You mean LLT, where LT is the transpose of L? This is easy, why don't you just do it? Let L be an arbitrary lower triangular matrix, and compute the entries of LLT in terms of the entries of L. Then equate them with the corresponding entries in the matrix you're given to work with, and solve the equations. For example, if you had a 1x1 matrix (7), and were asked to find the LLT factorization, you let L = (a) be an arbitrary lower triangular matrix. Then you can compute the entries of LLT in terms of the entries of L: LLT = (a)(a) = (a2). Then you equate entries of this matrix with the entries of the matrix you're working with, (7). So you get a2 = 7. So a is either the postive or negative square root of 7, but since we have the condition "L has positive elements on its diagonal" we know a to be the positive root of 7. Your problem is similar, it's just that you'll get 3 + 2 + 1 = 6 equations instead of just 1 equation.
 

Related to LLT-Factorization: Lower Triangular Matrix with Positive Diagonal for 4x3 Matrix

1. What is LLT-Factorization?

LLT-Factorization is a matrix decomposition method used to factorize a square matrix into a lower triangular matrix with a positive diagonal and its transpose. It is also known as Cholesky decomposition and is primarily used to solve linear systems efficiently.

2. How is LLT-Factorization different from other matrix decomposition methods?

Unlike other matrix decomposition methods, LLT-Factorization is specifically designed for symmetric matrices. It takes advantage of the symmetry of the matrix to reduce the number of computations needed, making it more efficient for solving linear systems.

3. What are the applications of LLT-Factorization?

LLT-Factorization is commonly used in various scientific fields, including statistics, physics, and engineering. It is particularly useful for solving systems of linear equations, least squares problems, and calculating determinants and inverses of symmetric matrices.

4. How does LLT-Factorization work for a 4x3 matrix?

For a 4x3 matrix, LLT-Factorization will result in a lower triangular 3x3 matrix with a positive diagonal and its transpose. This means that the original matrix can be written as the product of these two matrices, making it easier to solve for unknown variables in a linear system.

5. What are the benefits of using LLT-Factorization?

There are several benefits of using LLT-Factorization, including increased efficiency and accuracy for solving linear systems compared to other decomposition methods. It also avoids the use of complex numbers, making it more suitable for real-world applications. Additionally, it is a stable method, meaning small changes in the input matrix will result in small changes in the output matrix.

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