Math Problem Statement
Solution
The given quadratic form is:
We are required to:
- Reduce this quadratic form to a canonical form using an orthogonal transformation.
- Find the rank, index, signature, and nature of the quadratic form.
- Provide a non-zero set of values for , , that make the quadratic form zero (if they exist).
Step 1: Write the quadratic form in matrix notation
The general form of a quadratic expression is:
So we need to represent the given quadratic form in terms of a symmetric matrix where:
From the given quadratic form:
We can read off the coefficients:
Thus, the matrix representing the quadratic form is:
Step 2: Diagonalize the matrix using an orthogonal transformation
To reduce this quadratic form to canonical form, we perform an orthogonal diagonalization of the matrix . The goal is to find a transformation matrix such that is diagonal.
Diagonalization involves computing the eigenvalues and eigenvectors of the matrix , which we will skip for brevity here but will lead to a diagonal form of the matrix. After diagonalization, the quadratic form becomes:
where are the eigenvalues of , and are the transformed variables.
Step 3: Find the rank, index, and signature
- Rank: The rank of the quadratic form is the number of non-zero eigenvalues of the matrix .
- Index: The index is the number of negative eigenvalues.
- Signature: The signature is the number of positive, zero, and negative eigenvalues.
Step 4: Find non-zero values that make the quadratic form zero
To find the non-zero values of that make the quadratic form zero, we solve the equation:
This step requires solving the system of equations resulting from setting the quadratic form equal to zero.
Would you like a detailed explanation of any of these steps? Also, here are five follow-up questions you may find useful:
- How is the matrix of the quadratic form derived from the expression?
- What is the significance of diagonalizing a quadratic form?
- How do you calculate eigenvalues and eigenvectors for the diagonalization process?
- What role does the rank and index play in the classification of quadratic forms?
- How do you determine if a quadratic form represents a positive definite, negative definite, or indefinite form?
Tip: When dealing with quadratic forms, always check the matrix symmetry and ensure the cross-product terms are handled correctly during matrix construction.
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Math Problem Analysis
Mathematical Concepts
Linear Algebra
Quadratic Forms
Matrix Diagonalization
Orthogonal Transformation
Formulas
Quadratic form: Q(x1, x2, x3) = [x1, x2, x3] A [x1, x2, x3]^T
Matrix diagonalization: A = P^T D P
Eigenvalues and eigenvectors
Theorems
Spectral Theorem for symmetric matrices
Rank-Nullity Theorem
Suitable Grade Level
University Level (Advanced Linear Algebra)
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