← Previous Page Next Page → Engineering Mathematics II • Digital Workbook • Page 26 Quadratic Forms and Canonical Form Symmetric Matrices and Orthogonal Reduction
Quadratic forms are converted into symmetric matrices and reduced to canonical form. The cross-term rule, repeated eigenvalues and orthogonal transformations are shown clearly.
Unit Matrices
Topic Quadratic Forms
Question Type 4 Mark Problems
Theory Required for These Problems Two-Variable Quadratic Form For
\[Q=ax_1^2+2hx_1x_2+bx_2^2,\]
the symmetric matrix is
\[A=\left[\begin{array}{cc}a&h\\h&b\end{array}\right].\]
Note: Divide the coefficient of \(x_1x_2\) by \(2\).
Three-Variable Quadratic Form \[Q=ax_1^2+bx_2^2+cx_3^2+2hx_1x_2+2gx_1x_3+2fx_2x_3.\]
\[Q=ax_1^2+bx_2^2+cx_3^2\]\[{}+2hx_1x_2+2gx_1x_3+2fx_2x_3.\]
\[A=\left[\begin{array}{ccc}a&h&g\\h&b&f\\g&f&c\end{array}\right].\]
Coefficient Placement Square terms Place their coefficients on the main diagonal.
Cross terms Divide each coefficient by \(2\) and place it in both matching positions.
The S1, S2, S3 Method \[S_1=\mathrm{trace}(A).\]
\[S_2=\mathrm{sum\ of\ principal\ minors}.\]
\[S_3=|A|.\]
\[\lambda^3-S_1\lambda^2+S_2\lambda-S_3=0.\]
\[\lambda^3-S_1\lambda^2\]\[{}+S_2\lambda-S_3=0.\]
Calculator check: Use matrix mode to verify \(S_3=|A|\) and the eigenvalues.
Canonical Form For a real symmetric matrix, choose orthonormal eigenvectors as the columns of \(P\). Then
\[P^TAP=D.\]
If \(X=PY\), then \(Q=Y^TDY\).
Method used: Convert the expression into a symmetric matrix, find its eigenvalues and orthonormal eigenvectors, form \(P\), and use \(P^TAP=D\).
57
Reduction of a Quadratic Form 4 Marks
PAST-PAPER REFERENCE: TU IOE • 2083 Baisakh • Back (New Course) • ENSH 151 • Q. 14 • 4 Marks
Reduce the quadratic form
\[Q(X)=5x_1^2+2x_2^2+2x_3^2+4x_1x_2+2x_2x_3+4x_1x_3\]
\[Q(X)=5x_1^2+2x_2^2+2x_3^2\]\[{}+4x_1x_2+2x_2x_3+4x_1x_3\]
to canonical form.
Show Solution Video Solution
Solution Symmetric matrix and orthogonal reduction The square-term coefficients form the diagonal. Half of every cross-term coefficient is placed symmetrically.
Therefore,
\[A=\left[\begin{array}{ccc}5&2&2\\2&2&1\\2&1&2\end{array}\right].\]
Now,
\[S_1=\mathrm{trace}(A)=5+2+2=9.\]
The principal minors are
\[\left|\begin{array}{cc}2&1\\1&2\end{array}\right|=3,\quad\left|\begin{array}{cc}5&2\\2&2\end{array}\right|=6,\quad\left|\begin{array}{cc}5&2\\2&2\end{array}\right|=6.\]
Therefore,
\[S_2=3+6+6=15.\]
The characteristic equation is
\[\lambda^3-9\lambda^2+15\lambda-7=0.\]
Hence,
\[(\lambda-7)(\lambda-1)^2=0.\]
Therefore,
\[\lambda_1=7,\quad\lambda_2=1,\quad\lambda_3=1.\]
For \(\lambda_1=7\), choose
\[u_1=\frac1{\sqrt6}(2,1,1)^T.\]
For the repeated eigenvalue \(\lambda=1\), choose
\[u_2=\frac1{\sqrt2}(0,1,-1)^T,\quad u_3=\frac1{\sqrt3}(-1,1,1)^T.\]
\[u_2=\frac1{\sqrt2}(0,1,-1)^T.\]\[u_3=\frac1{\sqrt3}(-1,1,1)^T.\]
Form
\[P=[u_1\ u_2\ u_3]=\left[\begin{array}{ccc}\frac2{\sqrt6}&0&-\frac1{\sqrt3}\\\frac1{\sqrt6}&\frac1{\sqrt2}&\frac1{\sqrt3}\\\frac1{\sqrt6}&-\frac1{\sqrt2}&\frac1{\sqrt3}\end{array}\right].\]
Then
\[P^TAP=\left[\begin{array}{ccc}7&0&0\\0&1&0\\0&0&1\end{array}\right].\]
Let \(X=PY\). Therefore,
\[Q=Y^T(P^TAP)Y=7y_1^2+y_2^2+y_3^2.\]
Hence,
\[\mathrm{rank}=3,\quad\mathrm{index}=3,\quad\mathrm{signature}=3.\]
\[Q=7y_1^2+y_2^2+y_3^2\]
59
Reduction of a Quadratic Form 4 Marks
PAST-PAPER REFERENCE: TU IOE • 2081 Ashwin • Regular (New Course, 2080 Batch) • SH 151 • Q. 14 • 4 Marks
Reduce the quadratic form
\[Q(X)=6x_1^2+3x_2^2+3x_3^2-4x_1x_2-2x_2x_3+4x_1x_3\]
\[Q(X)=6x_1^2+3x_2^2+3x_3^2\]\[{}-4x_1x_2-2x_2x_3+4x_1x_3\]
to canonical form.
Show Solution Video Solution
Solution Symmetric matrix and orthogonal reduction Halving the cross-term coefficients gives
\[A=\left[\begin{array}{ccc}6&-2&2\\-2&3&-1\\2&-1&3\end{array}\right].\]
Now,
\[S_1=\mathrm{trace}(A)=6+3+3=12.\]
The principal minors are
\[\left|\begin{array}{cc}3&-1\\-1&3\end{array}\right|=8,\quad\left|\begin{array}{cc}6&2\\2&3\end{array}\right|=14,\quad\left|\begin{array}{cc}6&-2\\-2&3\end{array}\right|=14.\]
Therefore,
\[S_2=8+14+14=36.\]
The characteristic equation is
\[\lambda^3-12\lambda^2+36\lambda-32=0.\]
Hence,
\[(\lambda-8)(\lambda-2)^2=0.\]
Therefore,
\[\lambda_1=8,\quad\lambda_2=2,\quad\lambda_3=2.\]
For \(\lambda_1=8\), choose
\[u_1=\frac1{\sqrt6}(2,-1,1)^T.\]
For the repeated eigenvalue \(\lambda=2\), choose
\[u_2=\frac1{\sqrt2}(0,1,1)^T,\quad u_3=\frac1{\sqrt3}(1,1,-1)^T.\]
\[u_2=\frac1{\sqrt2}(0,1,1)^T.\]\[u_3=\frac1{\sqrt3}(1,1,-1)^T.\]
Form
\[P=[u_1\ u_2\ u_3]=\left[\begin{array}{ccc}\frac2{\sqrt6}&0&\frac1{\sqrt3}\\-\frac1{\sqrt6}&\frac1{\sqrt2}&\frac1{\sqrt3}\\\frac1{\sqrt6}&\frac1{\sqrt2}&-\frac1{\sqrt3}\end{array}\right].\]
Then
\[P^TAP=\left[\begin{array}{ccc}8&0&0\\0&2&0\\0&0&2\end{array}\right].\]
Let \(X=PY\). Therefore,
\[Q=Y^T(P^TAP)Y=8y_1^2+2y_2^2+2y_3^2.\]
Hence,
\[\mathrm{rank}=3,\quad\mathrm{index}=3,\quad\mathrm{signature}=3.\]
\[Q=8y_1^2+2y_2^2+2y_3^2\]
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