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
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
Advanced Engineering Mathematics
10th Edition
ISBN:9780470458365
Author:Erwin Kreyszig
Publisher:Erwin Kreyszig
Chapter2: Second-order Linear Odes
Section: Chapter Questions
Problem 1RQ
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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.](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F13b3ce4d-7939-40c7-a8c2-01af91160cea%2Ff3ddf59c-351f-4b6d-a494-80a6afbbf112%2F2xkfrbm_processed.png&w=3840&q=75)
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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