edited by
840 views
10 votes
10 votes

Suppose that the characteristic polynomial of $\text{A}$ is
$$
p(\lambda)=\lambda(\lambda-2)(\lambda-3)^2.
$$
Which of the following can you determine from this information?

  1. The rank of $\text{A}$.
  2. Whether $\text{A}$ is symmetric.
  3. Whether $\text{A}$ is diagonalizable.
  4. The eigenvalues of $\text{A}$.
edited by

2 Answers

4 votes
4 votes

Here there are 3 distinct eigen values = 0,2,3 [to be exact : 0,2,3,3]. Hence option (D) can be determined.

Here power of eigen value, 0 is 1 hence the number of L.I eigen vectors = 1 (AM = GM) 

So, nullity = 1 and rank = (1+1+2) – 1 = 3.

Hence option (A) can be determined.

 

However, need some more clarification on options b and d!

4 votes
4 votes

 

Here there are 3 distinct eigen values = 0,2,3 [to be exact : 0,2,3,3]. Hence option (D) can be determined.

Here power of eigen value, 0 is 1 hence the number of L.I eigen vectors = 1 (AM = GM) 

So, nullity = 1 and rank = (1+1+2) – 1 = 3.

Hence option (A) can be determined.

(copied from @chokostar’s answer)

A can be symmetric or not-symmetric which can be illustrated through following example:

$\begin{pmatrix} 0 & & \\ & 2 & \\ & & 3 \\ & & & 3 \end{pmatrix}$ => Symmetric

$\begin{pmatrix} 0 & & \\ & 2 &7&9\\ & & 3 &8\\ & & & 3 \end{pmatrix}$ => Not symmetric

* Blank entries are 0s

Hence option (B) CANNOT be determined.

Now, for A to be diagonalizable A should have 4 independent eigen vectors ie Geometric multiplicity (G.M.)

should  total four.

But here corresponding to λ = 3 there can be 1 or 2 LI vectors.

So, in total we can have either 3 or 4 LI vectors.

Thus, we cannot guarantee that A is diagonalizable.

Hence option (C) CANNOT be determined.

Answer:

Related questions

9 votes
9 votes
2 answers
2
GO Classes asked Apr 5, 2023
696 views
Let $A=\begin{pmatrix}1 & 2 & 1 & 0 & 0 \\ 1 & 2 & 2 & 2 & 3 \\ -1 & -2 & 0 & 2 & 3\end{pmatrix}$What will be the $\text{rank(A)}?$$1$$2$$3$$5$
18 votes
18 votes
2 answers
3
GO Classes asked Apr 5, 2023
1,140 views
Consider Three matrices $A, B$ and $C$ such that -$$\underbrace{\left(\begin{array}{lllll}1 & 2 & 4 & 2 & 5 \\& 2 & 3 & 5 & 6 \\& & 3 & 4 & 3 \\& & & 4 & 3 \\& & & 5\end{...