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

  • Thread starter Thread starter DeadxBunny
  • Start date Start date
Click For Summary
SUMMARY

The discussion focuses on the LLT-Factorization of a 4x3 matrix, specifically where L is a lower triangular matrix with positive diagonal elements. Participants clarify that LLT refers to the product of L and its transpose, LT. The solution involves expressing the entries of LLT in terms of L's entries and equating them to the given matrix entries. This method leads to a system of equations that must be solved to find the values of L's entries, ensuring that the diagonal elements remain positive.

PREREQUISITES
  • Understanding of LLT-Factorization in linear algebra
  • Familiarity with lower triangular matrices
  • Knowledge of matrix multiplication and transposition
  • Ability to solve systems of equations
NEXT STEPS
  • Study the properties of lower triangular matrices in linear algebra
  • Learn about matrix factorization techniques, specifically Cholesky decomposition
  • Explore solving systems of linear equations using matrix methods
  • Review examples of LLT-Factorization with different matrix sizes
USEFUL FOR

Students and professionals in mathematics, particularly those studying linear algebra, matrix theory, or anyone involved in computational mathematics requiring matrix factorization techniques.

DeadxBunny
Messages
29
Reaction score
0

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!
 
Physics news on Phys.org
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 positive 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.
 

Similar threads

Replies
9
Views
2K
  • · Replies 2 ·
Replies
2
Views
3K
  • · Replies 3 ·
Replies
3
Views
2K
Replies
2
Views
2K
Replies
10
Views
2K
  • · Replies 4 ·
Replies
4
Views
2K
  • · Replies 1 ·
Replies
1
Views
2K
  • · Replies 5 ·
Replies
5
Views
5K
Replies
3
Views
2K
  • · Replies 2 ·
Replies
2
Views
4K