Diagonal Quadratic Forms of a Matrix

In summary, the conversation discusses finding the transitional matrix for a given quadratic form and transforming it into a diagonal form. This involves finding the eigenvectors and eigenvalues of the given matrix and using them to form the transitional matrix. The resulting diagonal matrix will have the eigenvalues on its main diagonal.
  • #1
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Homework Statement



Let the quadratic form F(x,y,z) be given as

F(x,y,z) = 2x^2 + 3y^2 + 5z^2 - xy -xz - yz.

Find the transitional matrix that would transform this form to a diagonal form.


Homework Equations



A quadratic form is a second degree polynomial equation in three variables which has the form

F(x,y,z) = ax^2 + by^2 + cz^2 + 2dxy + 2exz + 2fyz

where coefficients a through i are real numbers.

The curve F(x,y,z) = j can be written in the form (x^T)*A*x = j where

x = [x, y, z]

A = [a, d, e]
[d, b, f]
[e, f, c]

The Attempt at a Solution



I need to find the eigenvectors of (A-sI) to form the transitional matrix. Does (x^T)*A*x = j have anything to do with finding this matrix? Having trouble picturing all of this...
 
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  • #2
Don't worry about "(x^T)*A*x= j", that will come automatically once you have found the correct transition matrix. First, find the eigenvalues for your matrix. Then find the eigenvectors corresponding to each eigenvalue. Since it is symmetric,there will exist a "complete set" of eigenvectors- a basis for the space consisting of eigenvectors. P will be the matrix having those eigenvectors as columns, P-1 its inverse. Then P-1AP= D, a diagonal matrix having the eigenvalues on the main diagonal.
 

Related to Diagonal Quadratic Forms of a Matrix

1. What is a diagonal quadratic form of a matrix?

A diagonal quadratic form of a matrix is a mathematical expression that involves the elements of a matrix and represents the sum of squares of linear combinations of those elements. It is called "diagonal" because the matrix is typically multiplied by its transpose, resulting in a diagonal matrix.

2. What is the significance of diagonal quadratic forms in linear algebra?

Diagonal quadratic forms are important in linear algebra because they can be used to study the properties of matrices, such as symmetry, definiteness, and rank. They also have applications in optimization and statistics.

3. How are diagonal quadratic forms related to eigenvalues and eigenvectors?

The eigenvalues and eigenvectors of a matrix can be used to express a diagonal quadratic form in a simplified form, making it easier to analyze and solve. The eigenvalues of a matrix are also the diagonal elements of a diagonal matrix, which is obtained by diagonalizing the quadratic form.

4. How can diagonal quadratic forms be used in practical applications?

Diagonal quadratic forms have various applications in fields such as physics, engineering, and economics. They can be used to model physical systems, optimize processes, and analyze data, among other things.

5. What is the relationship between diagonal quadratic forms and positive definite matrices?

A matrix is positive definite if all of its eigenvalues are positive. Similarly, a diagonal quadratic form is positive definite if its corresponding matrix is positive definite. This means that the quadratic form is always positive, except at the origin, and has a unique minimum value.

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