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Suppose \(A = PD{P^{ - 1}}\), where \(P\) is \(2 \times 2\) and \(D = \left( {\begin{array}{*{20}{l}}2&0\\0&7\end{array}} \right)\)

a. Let \(B = 5I - 3A + {A^2}\). Show that \(B\) is diagonalizable by finding a suitable factorization of \(B\).

b. Given \(p\left( t \right)\) and \(p\left( A \right)\) as in Exercise 5 , show that \(p\left( A \right)\) is diagonalizable.

Short Answer

Expert verified

a. It is proved that \(B\) is diagonalizable by finding a suitable factorization of \(B\).

b. Since \(I,D,{D^2},.......\) are diagonal matrices, the matrix in the middle is also diagonal as a linear combination of diagonal matrices, which proves that \(p\left( A \right)\) is diagonalizable.

Step by step solution

01

Definition of Diagonalizable Matrix

A diagonal matrixis a matrix in which non-zero values appear only on its main diagonal. In other words, every entry not on the diagonal is zero. Diagonalization is the process of transforming a matrix into a diagonal form.

If \(A\) is a matrix of order \(n\), then \(A\) is said to be diagonalizable if there exists an invertible matrix \(P\) such that

\(A = PD{P^{ - 1}}\)

Where \(D\) is the diagonal matrix with eigenvaluesof \(A\) as the diagonal entries.

02

Given that if A = PDPˉ¹

First of all, note that if\(A = PD{P^{ - 1}}\), then for any natural\(k\).

\(\begin{aligned}{}{A^k} &= A \cdot A \cdot A \cdot \ldots \cdot A\\ &= \left( {PD{P^{ - 1}}} \right)\left( {PD{P^1}} \right)\left( {PD{P^{ - 1}}} \right) \ldots \left( {PD{P^{ - 1}}} \right)\\ &= PD\left( {{P^{ - 1}}P} \right)D\left( {{P^{ - 1}}P} \right)D\left( {{P^{ - 1}} \cdot \ldots \cdot P} \right)D{P^{ - 1}}\\ &= P{D^k}{P^{ - 1}}\end{aligned}\)

03

Calculating the matrix is diagonal

It is given that\(A = PD{P^{ - 1}}\), so we can write

\(\begin{aligned}{}B &= 5I - 3A + {A^2}\\ &= 5PI{P^{ - 1}} - 3PD{P^{ - 1}} + P{D^2}{P^{ - 1}}\\ &= P\left( {5I - 3D + {D^2}} \right){P^{ - 1}}\end{aligned}\)

The matrix in the middle is,

\(\begin{aligned}{}5I - 3D + {D^2} &= \left( {\begin{aligned}{*{20}{l}}5&0\\0&5\end{aligned}} \right) - 3\left( {\begin{aligned}{*{20}{l}}2&0\\0&7\end{aligned}} \right) + {\left( {\begin{aligned}{*{20}{l}}2&0\\0&7\end{aligned}} \right)^2}\\ &= \left( {\begin{aligned}{*{20}{l}}5&0\\0&5\end{aligned}} \right) - \left( {\begin{aligned}{*{20}{}}6&0\\0&{21}\end{aligned}} \right) + \left( {\begin{aligned}{*{20}{}}4&0\\0&{49}\end{aligned}} \right)\\ &= \left( {\begin{aligned}{*{20}{c}}3&0\\0&{32}\end{aligned}} \right)\end{aligned}\)

Since this matrix is diagonal, we conclude that \(B\) is diagonalizable (with the same \(P\) as \(A\) )

04

(b) Step 4: Proving that \(p\left( A \right)\) is diagonalizable 

We have\(p\left( A \right) = {c_0} + {c_1}A + {c_2}{A^2} + ...... + {c_n}{A^n}\)

Now using\(A = PD{P^{ - 1}}\)we get,

\(\begin{aligned}{}p\left( A \right) &= {c_0}PI{P^{ - 1}} + {c_1}PD{P^{ - 1}} + {c_2}{\left( {PD{P^{ - 1}}} \right)^2} + ...... + {c_n}{\left( {PD{P^{ - 1}}} \right)^n}\\p\left( A \right) &= {c_0}PI{P^{ - 1}} + {c_1}PD{P^{ - 1}} + {c_2}P{D^2}{P^{ - 1}} + .... + {c_n}P{D^n}{P^{ - 1}}\end{aligned}\)

Finally, we get:

\(p\left( A \right) = P\left( {{c_0}I + {c_1}D + {c_2}{D^2} + \ldots + {c_n}{D^n}} \right){P^{ - 1}}\)

Since\(I,D,{D^2}, \ldots ,{D^n}\)are diagonal matrices, the matrix in the middle is also diagonal as a linear combination of diagonal matrices, which proves that\(p\left( A \right)\)is diagonalizable (with the same\(P\)as\(A\)).

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Most popular questions from this chapter

Consider the growth of a lilac bush. The state of this lilac bush for several years (at year’s end) is shown in the accompanying sketch. Let n(t) be the number of new branches (grown in the year t) and a(t) the number of old branches. In the sketch, the new branches are represented by shorter lines. Each old branch will grow two new branches in the following year. We assume that no branches ever die.

(a) Find the matrix A such that [nt+1at+1]=A[ntat]

(b) Verify that [11]and [2-1] are eigenvectors of A. Find the associated eigenvalues.

(c) Find closed formulas for n(t) and a(t).

Exercises 19–23 concern the polynomial \(p\left( t \right) = {a_{\bf{0}}} + {a_{\bf{1}}}t + ... + {a_{n - {\bf{1}}}}{t^{n - {\bf{1}}}} + {t^n}\) and \(n \times n\) matrix \({C_p}\) called the companion matrix of \(p\): \({C_p} = \left[ {\begin{aligned}{*{20}{c}}{\bf{0}}&{\bf{1}}&{\bf{0}}&{...}&{\bf{0}}\\{\bf{0}}&{\bf{0}}&{\bf{1}}&{}&{\bf{0}}\\:&{}&{}&{}&:\\{\bf{0}}&{\bf{0}}&{\bf{0}}&{}&{\bf{1}}\\{ - {a_{\bf{0}}}}&{ - {a_{\bf{1}}}}&{ - {a_{\bf{2}}}}&{...}&{ - {a_{n - {\bf{1}}}}}\end{aligned}} \right]\).

22. Let \(p\left( t \right) = {a_{\bf{0}}} + {a_{\bf{1}}}t + {a_{\bf{2}}}{t^{\bf{2}}} + {t^{\bf{3}}}\), and let \(\lambda \) be a zero of \(p\).

  1. Write the companion matrix for \(p\).
  2. Explain why \({\lambda ^{\bf{3}}} = - {a_{\bf{0}}} - {a_{\bf{1}}}\lambda - {a_{\bf{2}}}{\lambda ^{\bf{2}}}\), and show that \(\left( {{\bf{1}},\lambda ,{\lambda ^2}} \right)\) is an eigenvector of the companion matrix for \(p\).

Question: Find the characteristic polynomial and the eigenvalues of the matrices in Exercises 1-8.

3. \(\left[ {\begin{array}{*{20}{c}}3&-2\\1&-1\end{array}} \right]\)

[M]Repeat Exercise 25 for \[A{\bf{ = }}\left[ {\begin{array}{*{20}{c}}{{\bf{ - 8}}}&{\bf{5}}&{{\bf{ - 2}}}&{\bf{0}}\\{{\bf{ - 5}}}&{\bf{2}}&{\bf{1}}&{{\bf{ - 2}}}\\{{\bf{10}}}&{{\bf{ - 8}}}&{\bf{6}}&{{\bf{ - 3}}}\\{\bf{3}}&{{\bf{ - 2}}}&{\bf{1}}&{\bf{0}}\end{array}} \right]\].

For the Matrices A find real closed formulas for the trajectory x(t+1)=Ax(t)wherex(0)=[01]A=[2-332]

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