Prove 2x2 Matrix Puzzle: No $S$ Exists for $S^n$

  • Context: MHB 
  • Thread starter Thread starter lfdahl
  • Start date Start date
  • Tags Tags
    Matrix Puzzle
Click For Summary
SUMMARY

There is no $2 \times 2$ matrix $S$ such that $S^n = \begin{pmatrix} 0 & 1\\ 0 & 0 \end{pmatrix}$ for any integer $n \geq 2$. The matrix $T = \begin{pmatrix} 0 & 1\\ 0 & 0 \end{pmatrix}$ has rank 1, and its image and null space are both 1-dimensional. Since $S$ must also have rank 1, it leads to the conclusion that $S^2$ is the zero matrix, contradicting the non-zero nature of $T$. Therefore, $T$ has no $n$th roots for $n \geq 2.

PREREQUISITES
  • Understanding of linear algebra concepts such as matrix rank and null space.
  • Familiarity with matrix operations, specifically matrix multiplication and powers.
  • Knowledge of linear transformations and their properties.
  • Ability to analyze mathematical proofs and contradictions.
NEXT STEPS
  • Study the properties of matrix rank and its implications in linear transformations.
  • Learn about the Jordan form of matrices and its relevance to nilpotent matrices.
  • Explore the concept of matrix exponentiation and its applications in differential equations.
  • Investigate the implications of the Cayley-Hamilton theorem in relation to matrix powers.
USEFUL FOR

Mathematicians, students of linear algebra, and anyone interested in advanced matrix theory and its applications in various fields such as physics and engineering.

lfdahl
Gold Member
MHB
Messages
747
Reaction score
0
Prove, that there is no $2 \times 2$ matrix, $S$, such that

\[S^n= \begin{pmatrix} 0 & 1\\ 0 & 0 \end{pmatrix}\]

for any integer $n \geq 2$.
 
Physics news on Phys.org
lfdahl said:
Prove, that there is no $2 \times 2$ matrix, $S$, such that

\[S^n= \begin{pmatrix} 0 & 1\\ 0 & 0 \end{pmatrix}\]

for any integer $n \geq 2$.
[sp]Let $T = \begin{bmatrix} 0 & 1\\ 0 & 0 \end{bmatrix}$. Then $T$ has rank $1$. Considering $T$ as a linear operator on a $2$-dimensional space, its image and its null space are both equal to the $1$-dimensional subspace spanned by the first basis vector $\begin{bmatrix} 1\\ 0 \end{bmatrix}$ (and hence $T^2 = 0$, as you can easily check by squaring the matrix).

Suppose that $T = S^n$. Then $S$ cannot have rank $2$, because then it would be surjective and so every power of $S$ would also be surjective. Also, $S$ cannot have rank $0$, because then it would represent the zero operator and so $T$ would be $0$. So $S$ must have rank $1$.

If the vector $x$ is in the null space of $S$ then $Tx = S^nx = S^{n-1}Sx = 0$. So the null space of $S$ is contained in the null space of $T$. But since those spaces are both $1$-dimensional, they must be equal.

For any vector $y$, $Ty = S(S^{n-1}y)$. So the image of $S$ contains the image of $T$. But since those spaces are both $1$-dimensional, they must be equal.

Therefore the image and null space of $S$ are equal. So for any vector $y$, $S^2y = S(Sy) = 0$ and thus $S^2$ is the zero matrix. But if $S^2 = 0$ then $S^n = 0$ for all $n\geqslant 2$, contradicting the fact that $T \ne0$.

Thus $T$ has no $n$th roots, for $n\geqslant 2$.[/sp]
 
lfdahl said:
Prove, that there is no $2 \times 2$ matrix, $S$, such that

\[S^n= \begin{pmatrix} 0 & 1\\ 0 & 0 \end{pmatrix}\]

for any integer $n \geq 2$.

Suppose $S$ exists and has eigenvalues $\lambda_1$ and $\lambda_2$ (which could conceivably be complex).
Then $S^n$ has eigenvalues $\lambda_1^n$ and $\lambda_2^n$.
The given matrix is in Jordan Normal Form, showing that $\lambda_1^n=\lambda_2^n=0$, and therefore $\lambda_1=\lambda_2=0$.
So $S$ is either similar to the 0 matrix, or to the given nilpotent matrix.

If $S$ is similar to 0, then $S^n=0$, which is a contradiction.
And if $S$ is similar to the given nilpotent matrix, then $S^n=0$, which is also a contradiction.
Therefore there is no such $S$.
 
Opalg said:
[sp]Let $T = \begin{bmatrix} 0 & 1\\ 0 & 0 \end{bmatrix}$. Then $T$ has rank $1$. Considering $T$ as a linear operator on a $2$-dimensional space, its image and its null space are both equal to the $1$-dimensional subspace spanned by the first basis vector $\begin{bmatrix} 1\\ 0 \end{bmatrix}$ (and hence $T^2 = 0$, as you can easily check by squaring the matrix).

Suppose that $T = S^n$. Then $S$ cannot have rank $2$, because then it would be surjective and so every power of $S$ would also be surjective. Also, $S$ cannot have rank $0$, because then it would represent the zero operator and so $T$ would be $0$. So $S$ must have rank $1$.

If the vector $x$ is in the null space of $S$ then $Tx = S^nx = S^{n-1}Sx = 0$. So the null space of $S$ is contained in the null space of $T$. But since those spaces are both $1$-dimensional, they must be equal.

For any vector $y$, $Ty = S(S^{n-1}y)$. So the image of $S$ contains the image of $T$. But since those spaces are both $1$-dimensional, they must be equal.

Therefore the image and null space of $S$ are equal. So for any vector $y$, $S^2y = S(Sy) = 0$ and thus $S^2$ is the zero matrix. But if $S^2 = 0$ then $S^n = 0$ for all $n\geqslant 2$, contradicting the fact that $T \ne0$.

Thus $T$ has no $n$th roots, for $n\geqslant 2$.[/sp]

Hi, Opalg! - another excellent contribution from you! Thankyou for sharing your expertice in this challenge/puzzle forum!(Handshake)
 
I like Serena said:
Suppose $S$ exists and has eigenvalues $\lambda_1$ and $\lambda_2$ (which could conceivably be complex).
Then $S^n$ has eigenvalues $\lambda_1^n$ and $\lambda_2^n$.
The given matrix is in Jordan Normal Form, showing that $\lambda_1^n=\lambda_2^n=0$, and therefore $\lambda_1=\lambda_2=0$.
So $S$ is either similar to the 0 matrix, or to the given nilpotent matrix.

If $S$ is similar to 0, then $S^n=0$, which is a contradiction.
And if $S$ is similar to the given nilpotent matrix, then $S^n=0$, which is also a contradiction.
Therefore there is no such $S$.

Thanks a lot, I like Serena. You are fast on the trigger! - yet still hitting "bulls eye" with this very fine solution of yours. Thankyou for your participation!(Cool)
 

Similar threads

  • · Replies 52 ·
2
Replies
52
Views
4K
  • · Replies 9 ·
Replies
9
Views
4K
  • · Replies 2 ·
Replies
2
Views
2K
  • · Replies 7 ·
Replies
7
Views
4K
  • · Replies 34 ·
2
Replies
34
Views
2K
  • · Replies 15 ·
Replies
15
Views
2K
  • · Replies 3 ·
Replies
3
Views
2K
  • · Replies 8 ·
Replies
8
Views
3K
  • · Replies 5 ·
Replies
5
Views
3K
  • · Replies 4 ·
Replies
4
Views
1K