Linear Algebra: Find Matrix Determinant w/o Evaluating Directly

In summary, the conversation discusses finding the determinant of a symmetric matrix using identities without evaluating the determinants directly. The suggested methods include using diagonalization, finding eigenvalues and using linear combinations of lines to simplify the process. The key is to find a polynomial that cancels out the matrix, as its roots are the eigenvalues and their product is the determinant. Special cases such as a=b or a=0 or b=0 can also provide guidance.
  • #1
NeedPhysHelp8
41
0

Homework Statement


Find the determinant of the matrix using identities without evaluating the determinants directly:

a b b b
b a b b
b b a b
b b b a

The Attempt at a Solution


I tried getting it into a triangular matrix but halfway through it got too complicated and it has to be simpler than what I think it is. The matrix is symmetric but I don't know how that relates to the determinant.
 
Physics news on Phys.org
  • #2
I don't know if you are supposed to know this way but let's try :
if a and b are real, a symmetric matrix is diagonalisable
You know that the eigenvalues are roots of any polynom that cancel your matrix. For a start, compute the square of you matrix and reexpress it in terms of the indentity matrix and your original one. This identity gies you a polynom that cancel your matrix. Its roots are eigenvalues, and their product is the determinant. Take care of the multiplicity of the eigenvalues, that's all !

You can also have guidance from basic aspects : you know trivial answers for special cases : a=b, a=0 or b=0 etc ... this should come then !

Last possibility (but also not very elegant) : trying linear combination of lines and you will find a nice factorization appearing...
 

FAQ: Linear Algebra: Find Matrix Determinant w/o Evaluating Directly

What is "Linear Algebra"?

Linear Algebra is a branch of mathematics that deals with linear relationships and their representation in vector spaces. It includes the study of matrices, determinants, vector spaces, and linear transformations.

What is a matrix determinant?

A matrix determinant is a scalar value that is calculated from the elements of a square matrix. It represents the scaling factor of the matrix and is used to determine the invertibility of the matrix.

Why find the matrix determinant without evaluating directly?

Finding the matrix determinant without evaluating directly is useful when working with large matrices, as the direct evaluation method can be time-consuming and computationally expensive. It also provides a way to calculate the determinant without needing to know the individual values of the matrix.

How do you find the matrix determinant without evaluating directly?

One method is to use the properties of determinants, such as the fact that the determinant of a triangular matrix is the product of its diagonal elements. Another method is to use row operations to simplify the matrix until it is in a triangular form, making it easier to calculate the determinant.

What are some applications of finding the matrix determinant without evaluating directly?

Finding the matrix determinant without evaluating directly is used in various fields, such as computer graphics, physics, and engineering. It is essential in solving systems of linear equations, determining the eigenvalues and eigenvectors of a matrix, and finding the volume of a parallelepiped.

Similar threads

Replies
32
Views
1K
Replies
69
Views
5K
Replies
4
Views
2K
Replies
4
Views
622
Replies
8
Views
2K
Replies
9
Views
6K
Replies
13
Views
2K
Replies
6
Views
5K
Back
Top