Find the change of variable x = Py that transforms the quadratic form XTAX into yTDy as shown. - 14x3 - 13x3 - 12x3 + 24×,X2 - 24x,X3 = 4y? - 13y3 - 30y

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Chapter2: Second-order Linear Odes
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**Transforming Quadratic Forms: Finding the Change of Variable**

To transform the quadratic form \( x^T A x \) into \( y^T D y \), we need to find the change of variable \( x = Py \). Below is the specific problem and the transformation involved:

Given quadratic form:
\[ -14x_1^2 - 13x_2^2 - 12x_3^2 + 24x_1x_2 - 24x_2x_3 \]

We aim to transform it to:
\[ 4y_1^2 - 13y_2^2 - 30y_3^2 \]

The given expression demonstrates the initial quadratic form involving variables \( x_1, x_2, \) and \( x_3 \) and shows how it changes to involve new variables \( y_1, y_2, \) and \( y_3 \).

### Explanation
1. **Original Quadratic Form**:
    \[ -14x_1^2 - 13x_2^2 - 12x_3^2 + 24x_1x_2 - 24x_2x_3 \]

2. **Transformed Quadratic Form**:
    \[ 4y_1^2 - 13y_2^2 - 30y_3^2 \]

### Steps to Find the Change of Variable
1. **Identify the Quadratic Form Matrix (A)**:
   - The original quadratic form can be represented as a symmetric matrix \( A \).

2. **Diagonalize the Matrix (A)**:
   - Find the eigenvalues and eigenvectors of \( A \).
  
3. **Construct the Matrix (D)**:
   - (D) is the diagonal matrix consisting of the eigenvalues of \( A \).

4. **Determine the Change of Basis Matrix (P)**:
   - (P) is composed of the eigenvectors of \( A \).

5. **Transform Variables**:
   - Use the relation \( x = Py \) to transform the variables and obtain the new quadratic form.

This transformation process helps in simplifying the quadratic form by converting it to a diagonal form, making it easier to analyze and solve problems related to quadratic expressions.
Transcribed Image Text:**Transforming Quadratic Forms: Finding the Change of Variable** To transform the quadratic form \( x^T A x \) into \( y^T D y \), we need to find the change of variable \( x = Py \). Below is the specific problem and the transformation involved: Given quadratic form: \[ -14x_1^2 - 13x_2^2 - 12x_3^2 + 24x_1x_2 - 24x_2x_3 \] We aim to transform it to: \[ 4y_1^2 - 13y_2^2 - 30y_3^2 \] The given expression demonstrates the initial quadratic form involving variables \( x_1, x_2, \) and \( x_3 \) and shows how it changes to involve new variables \( y_1, y_2, \) and \( y_3 \). ### Explanation 1. **Original Quadratic Form**: \[ -14x_1^2 - 13x_2^2 - 12x_3^2 + 24x_1x_2 - 24x_2x_3 \] 2. **Transformed Quadratic Form**: \[ 4y_1^2 - 13y_2^2 - 30y_3^2 \] ### Steps to Find the Change of Variable 1. **Identify the Quadratic Form Matrix (A)**: - The original quadratic form can be represented as a symmetric matrix \( A \). 2. **Diagonalize the Matrix (A)**: - Find the eigenvalues and eigenvectors of \( A \). 3. **Construct the Matrix (D)**: - (D) is the diagonal matrix consisting of the eigenvalues of \( A \). 4. **Determine the Change of Basis Matrix (P)**: - (P) is composed of the eigenvectors of \( A \). 5. **Transform Variables**: - Use the relation \( x = Py \) to transform the variables and obtain the new quadratic form. This transformation process helps in simplifying the quadratic form by converting it to a diagonal form, making it easier to analyze and solve problems related to quadratic expressions.
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