Engineering Mathematics II • Digital Workbook • Page 25

Matrix Diagonalisation

Eigenvectors, the Modal Matrix and the Diagonal Matrix

Matrix diagonalisation is developed through a complete IOE past-paper problem. Form the modal matrix from the eigenvectors and verify the diagonal matrix.

UnitMatrices
TopicDiagonalisation
Question Type4 Mark Problems

Theory Required for This Problem

Diagonalisation

A matrix with enough independent eigenvectors can be written as

\[P^{-1}AP=D.\]

Equivalently,

\[A=PDP^{-1}.\]

Modal Matrix

Place the independent eigenvectors as the columns of \(P\). Keep the same order of eigenvalues in \(D\).

Diagonal Matrix

If the columns of \(P\) correspond to \(\lambda_1,\lambda_2,\ldots\), then

\[D=\left[\begin{array}{cc}\lambda_1&0\\0&\lambda_2\end{array}\right].\]

Verification

Calculate \(P^{-1}AP\). The result must equal \(D\).

Method used: Find the eigenvalues and eigenvectors, form \(P\) and \(D\) in matching order, calculate \(P^{-1}\), and verify \(P^{-1}AP=D\).
Continue through the IOE Engineering Mathematics II Digital Workbook. This matrix diagonalisation page follows the Engineering Mathematics II course sequence in the Tribhuvan University curriculum.
56

Diagonalisation of a Two by Two Matrix

4 Marks
PAST-PAPER REFERENCE: TU IOE • 2082 Bhadra • Regular (New Course) • ENSH 151 • Q. 14 • 4 Marks

Diagonalise the matrix

\[A=\left[\begin{array}{cc}1&4\\3&2\end{array}\right].\]

Solution

Eigenvectors and the modal matrix

Given

\[A=\left[\begin{array}{cc}1&4\\3&2\end{array}\right].\]

First,

\[S_1=\mathrm{trace}(A)=1+2=3.\]

Also,

\[S_2=|A|=(1)(2)-(4)(3)=-10.\]

The characteristic equation is

\[\lambda^2-S_1\lambda+S_2=0.\]

Substituting the values,

\[\lambda^2-3\lambda-10=0.\]

Factorising,

\[(\lambda-5)(\lambda+2)=0.\]

Therefore,

\[\lambda_1=5,\quad\lambda_2=-2.\]

For \(\lambda_1=5\),

\[(A-5I)X=\left[\begin{array}{cc}-4&4\\3&-3\end{array}\right]\left[\begin{array}{c}x\\y\end{array}\right]=0.\]

Thus,

\[x=y\quad\Rightarrow\quad X_1=(1,1)^T.\]

For \(\lambda_2=-2\),

\[(A+2I)X=\left[\begin{array}{cc}3&4\\3&4\end{array}\right]\left[\begin{array}{c}x\\y\end{array}\right]=0.\]

Thus,

\[3x+4y=0\quad\Rightarrow\quad X_2=(4,-3)^T.\]

Form the modal and diagonal matrices in matching order:

\[P=\left[\begin{array}{cc}1&4\\1&-3\end{array}\right],\quad D=\left[\begin{array}{cc}5&0\\0&-2\end{array}\right].\]

Now,

\[P^{-1}=\frac17\left[\begin{array}{cc}3&4\\1&-1\end{array}\right].\]

Verification:

\[P^{-1}AP=\left[\begin{array}{cc}5&0\\0&-2\end{array}\right]=D.\]

Equivalently,

\[A=PDP^{-1}.\]

Calculator check:

\[S_1=3,\quad S_2=-10,\quad\lambda=5,-2.\]
\[D=\left[\begin{array}{cc}5&0\\0&-2\end{array}\right],\quad P=\left[\begin{array}{cc}1&4\\1&-3\end{array}\right].\]
Formulae

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