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Let \(q(x, y)=2 x^{2}-6 x y-3 y^{2}\) and \(x=s+2 t, y=3 s-t\). (a) Rewrite \(q(x, y)\) in matrix notation, and find the matrix \(A\) representing the quadratic form. (b) Rewrite the linear substitution using matrix notation, and find the matrix \(P\) corresponding to the substitution. (c) Find \(q(s, t)\) using (i) direct substitution, (ii) matrix notation.

Short Answer

Expert verified
To summarize: (a) The quadratic form in matrix notation is \(q(x, y) = \begin{bmatrix}x & y\end{bmatrix} \begin{bmatrix}2 & -3\\ -3 & -3\end{bmatrix} \begin{bmatrix}x\\y\end{bmatrix}\), and the matrix A is \(\begin{bmatrix}2 & -3\\ -3 & -3\end{bmatrix}\). (b) The linear substitution in matrix notation is \(\begin{bmatrix}x\\y\end{bmatrix} = \begin{bmatrix}1 & 2\\ 3 & -1\end{bmatrix} \begin{bmatrix}s\\t\end{bmatrix}\), and the matrix P is \(\begin{bmatrix}1 & 2\\ 3 & -1\end{bmatrix}\). (c) The transformed quadratic form q(s, t) is found to be \(q(s, t) = -31s^2 + 50st - 7t^2\) using both direct substitution and matrix notation methods.

Step by step solution

01

(a) Rewrite the quadratic form in matrix notation and find matrix A

First, we need to rewrite the quadratic form q(x, y) in matrix notation. We are given: \[q(x, y)=2 x^{2}-6 x y-3 y^{2}\] Matrix notation for a quadratic form is given as: \[q(x, y) = \begin{bmatrix}x & y\end{bmatrix} A \begin{bmatrix}x\\y\end{bmatrix}\] To match the given quadratic form, we can find the matrix A as follows: \[A = \begin{bmatrix}2 & -3\\ -3 & -3\end{bmatrix}\] Thus, we have rewritten the quadratic form in matrix notation as: \[q(x, y) = \begin{bmatrix}x & y\end{bmatrix} \begin{bmatrix}2 & -3\\ -3 & -3\end{bmatrix} \begin{bmatrix}x\\y\end{bmatrix}\] Matrix A that represents the quadratic form is: \[A = \begin{bmatrix}2 & -3\\ -3 & -3\end{bmatrix}\]
02

(b) Rewrite the linear substitution using matrix notation and find matrix P

We are given the linear substitution as: \[x=s+2 t\] \[y=3 s-t\] Matrix notation for the linear substitution is given as: \[\begin{bmatrix}x\\y\end{bmatrix} = P \begin{bmatrix}s\\t\end{bmatrix}\] To match the given linear substitution, we can find the matrix P as follows: \[P = \begin{bmatrix}1 & 2\\ 3 & -1\end{bmatrix}\] Thus, we have rewritten the linear substitution in matrix notation as: \[\begin{bmatrix}x\\y\end{bmatrix} = \begin{bmatrix}1 & 2\\ 3 & -1\end{bmatrix} \begin{bmatrix}s\\t\end{bmatrix}\] Matrix P that corresponds to the linear substitution is: \[P = \begin{bmatrix}1 & 2\\ 3 & -1\end{bmatrix}\]
03

(c) Find q(s, t) using direct substitution

Now we will find the transformed quadratic form q(s, t) using direct substitution. Substitute the given linear substitution into the quadratic form: \[q(s, t) = 2(s+2t)^2 - 6(s+2t)(3s-t) - 3(3s-t)^2\] Now expand and simplify the expression: \[q(s, t) = 2(s^2 + 4st + 4t^2) - 6(s^2 + 2st - 3st + 2t^2) - 3(9s^2 - 6st + t^2)\] \[q(s, t) = 2s^2 + 8st + 8t^2 - 6s^2 - 12st + 36st - 12t^2 - 27s^2 + 18st - 3t^2\] \[q(s, t) = -31s^2 + 50st - 7t^2\] Therefore, the transformed quadratic form q(s, t) is: \[q(s, t) = -31s^2 + 50st - 7t^2\]
04

(c) Find q(s, t) using matrix notation

Finally, we will find the transformed quadratic form q(s, t) using matrix notation. We know that: \[q(x, y) = \begin{bmatrix}x & y\end{bmatrix} A \begin{bmatrix}x\\y\end{bmatrix}\] And we have found that: \[\begin{bmatrix}x\\y\end{bmatrix} = P \begin{bmatrix}s\\t\end{bmatrix}\] Now substitute this linear substitution into the quadratic form: \[q(s, t) = \begin{bmatrix}s & t\end{bmatrix} P^T A P \begin{bmatrix}s\\t\end{bmatrix}\] We already found: \[P = \begin{bmatrix}1 & 2\\ 3 & -1\end{bmatrix}\] \[A = \begin{bmatrix}2 & -3\\ -3 & -3\end{bmatrix}\] Compute the product \(P^T A P\): \[P^T A P = \begin{bmatrix}1 & 3\\ 2 & -1\end{bmatrix} \begin{bmatrix}2 & -3\\ -3 & -3\end{bmatrix} \begin{bmatrix}1 & 2\\ 3 & -1\end{bmatrix}\] \[P^T A P = \begin{bmatrix}-7 & 6\\ 11 & -5\end{bmatrix} \begin{bmatrix}1 & 2\\ 3 & -1\end{bmatrix}\] \[P^T A P = \begin{bmatrix}-31 & 50\\ 50 & -7\end{bmatrix}\] Thus, the transformed quadratic form q(s, t) using matrix notation is: \[q(s, t) = \begin{bmatrix}s & t\end{bmatrix} \begin{bmatrix}-31 & 50\\ 50 & -7\end{bmatrix} \begin{bmatrix}s\\t\end{bmatrix}\] \[q(s, t) = -31s^2 + 50st - 7t^2\] Both direct substitution and matrix notation methods yield the same result for the transformed quadratic form q(s, t): \[q(s, t) = -31s^2 + 50st - 7t^2\]

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Key Concepts

These are the key concepts you need to understand to accurately answer the question.

Matrix Notation
Matrix notation is a compact and powerful language for expressing complex algebraic ideas, especially when dealing with quadratic forms. It's akin to summarizing a lengthy novel into a brief, yet comprehensive, synopsis. In linear algebra, representing a quadratic form typically involves a symmetric matrix. For a two-variable quadratic form like our exercise with variables x and y, we use

\[\begin{equation}q(x, y) = \begin{bmatrix}x & y\end{bmatrix} A \begin{bmatrix}x\y\end{bmatrix}\end{equation}\]
The matrix A is the key that encodes all the coefficients of the quadratic form into a single mathematical object. Think of A as a treasure chest, holding all the intricacies of the quadratic equation. By finding the appropriate A, one can see at a glance the relationships between the variables of the quadratic form. This matrix notation not only simplifies expressions but also facilitates further operations such as substitution and transformation, which tie into the power of linear algebra.
Linear Substitution
Linear substitution is like a game of disguise in algebra. It's the process of swapping out one set of variables for another, typically to simplify an expression or equation. In our exercise, we're dealing with a transformation from the variables (x, y) to new variables (s, t), and these are related through a set of linear equations. In the realm of matrices, this transformation takes the form of

\[\begin{equation}\begin{bmatrix}x\y\end{bmatrix} = P \begin{bmatrix}s\t\end{bmatrix}\end{equation}\]
The matrix P is the magic cloak that conceals the old variables and reveals the new ones. By defining P correctly based on our substitution equations, we build a bridge between the two sets of variables. This is crucial as it allows us to navigate between different representations of the same algebraic structure, opening up paths to more streamlined solutions or deeper insights.
Matrix Transformation
Matrix transformation is a spellbinding dance of numbers, where matrices shuffle and align to reshape equations in algebra like a choreographed ballet. In our case, the transformation involves converting the quadratic form in variables (x, y) to a new form in (s, t). This process uses the previously found substitution matrix P, performing the calculation

\[\begin{equation}q(s, t) = \begin{bmatrix}s & t\end{bmatrix} P^T A P \begin{bmatrix}s\t\end{bmatrix}\end{equation}\]
Here's where the true magic lies: by calculating the product of the transpose of P, the matrix A, and P itself, we unveil a new matrix that directly relates to the s and t variables. This new matrix holds the coefficients of our transformed quadratic form. The elegance of matrix transformation is that once you have the new matrix, calculating the quadratic form in the new variables is nearly effortless. It allows us to peer into the heart of quadratic forms, revealing how changing variables affect their structure, without the need to tediously recalculate every term.

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Most popular questions from this chapter

Show that \(q(x, y)=a x^{2}+b x y+c y^{2}\) is positive definite if and only if \(a>0\) and the discriminant \(D=b^{2}-4 a c<0\)

Let \(H=\left[\begin{array}{ccc}1 & 1+i & 2 i \\ 1-i & 4 & 2-3 i \\ -2 i & 2+3 i & 7\end{array}\right]\), a Hermitian matrix. Find a nonsingular matrix \(P\) such that \(D=P^{T} H \bar{P}\) is diagonal. Also, find the signature of \(H\). Use the modified Algorithm \(12.1\) that applies the same row operations but the corresponding conjugate column operations. Thus, first form the block matrix \(M=[H, I]:\) : $$ M=\left[\begin{array}{cccccc} 1 & 1+i & 2 i & 1 & 0 & 0 \\ 1-i & 4 & 2-3 i & 0 & 1 & 0 \\ -2 i & 2+3 i & 7 & 0 & 0 & 1 \end{array}\right] $$ Apply the row operations 'Replace \(R_{2}\) by \((-1+i) R_{1}+R_{2} "\) and "Replace \(R_{3}\) by \(2 i R_{1}+R_{3} "\) and then the corresponding conjugate column operations "Replace \(C_{2}\) by \((-1-i) C_{1}+C_{2} "\) and "Replace \(C_{3}\) by \(-2 i C_{1}+C_{3} "\) to obtain $$ \left[\begin{array}{cccccc} 1 & 1+i & 2 i & 1 & 0 & 0 \\ 0 & 2 & -5 i & -1+i & 1 & 0 \\ 0 & 5 i & 3 & 2 i & 0 & 1 \end{array}\right] \text { and then } \quad\left[\begin{array}{cccccc} 1 & 0 & 0 & 1 & 0 & 0 \\ 0 & 2 & -5 i & -1+i & 1 & 0 \\ 0 & 5 i & 3 & 2 i & 0 & 1 \end{array}\right] $$ Next apply the row operation "Replace \(R_{3}\) by \(-5 i R_{2}+2 R_{3} "\) and the corresponding conjugate column operation "Replace \(C_{3}\) by \(5 i C_{2}+2 C_{3} "\) to obtain $$ \left[\begin{array}{cccccc} 1 & 0 & 0 & 1 & 0 & 0 \\ 0 & 2 & -5 i & -1+i & 1 & 0 \\ 0 & 0 & -19 & 5+9 i & -5 i & 2 \end{array}\right] \text { and then } \quad\left[\begin{array}{cccccc} 1 & 0 & 0 & 1 & 0 & 0 \\ 0 & 2 & 0 & -1+i & 1 & 0 \\ 0 & 0 & -38 & 5+9 i & -5 i & 2 \end{array}\right] $$ Now \(H\) has been diagonalized, and the transpose of the right half of \(M\) is \(P\). Thus, set $$ P=\left[\begin{array}{ccc} 1 & -1+i & 5+9 i \\ 0 & 1 & -5 i \\ 0 & 0 & 2 \end{array}\right], \quad \text { and then } \quad D=P^{T} H \bar{P}=\left[\begin{array}{ccc} 1 & 0 & 0 \\ 0 & 2 & 0 \\ 0 & 0 & -38 \end{array}\right] $$ Note \(D\) has \(\mathbf{p}=2\) positive elements and \(\mathbf{n}=1\) negative elements. Thus, the signature of \(H\) is \(\operatorname{sig}(H)=2-1=1\)

Prove that the following definitions of a positive definite quadratic form \(q\) are equivalent: (a) The diagonal entries are all positive in any diagonal representation of \(q\) (b) \(q(Y)>0,\) for any nonzero vector \(Y\) in \(\mathbf{R}^{n}\)

Prove Theorem 12.7: Let \(f\) be a Hermitian form on \(V\). Then there is a basis \(S\) of \(V\) in which \(f\) is represented by a diagonal matrix, and every such diagonal representation has the same number \(\mathbf{p}\) of positive entries and the same number \(\mathbf{n}\) of negative entries.

Consider the quadratic form \(q(x, y)=3 x^{2}+2 x y-y^{2}\) and the linear substitution \\[ x=s-3 t, \quad y=2 s+t \\] (a) Rewrite \(q(x, y)\) in matrix notation, and find the matrix \(A\) representing \(q(x, y)\) (b) Rewrite the linear substitution using matrix notation, and find the matrix \(P\) corresponding to the substitution. (c) Find \(q(s, t)\) using direct substitution. (d) Find \(q(s, t)\) using matrix notation.

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