Answer
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Hint: For a matrix $A$ to be skew-symmetric ${A^T} = - A$ must be true.
Let $A$ be any square matrix $A = \left( {\begin{array}{*{20}{c}}
1&2 \\
3&4
\end{array}} \right)$
The condition for a matrix $A$ to be skew-symmetric is
If ${A^T} = - A$, then $A$ is skew-symmetric. …(1)
Let us consider all the given options one by one and find out if they are skew-symmetric or not.
Option (a) is $A - {A^T}$. For this to be skew-symmetric, from (1) the condition is
${\left( {A - {A^T}} \right)^T} = - \left( {A - {A^T}} \right)$ …(2)
Let us find ${A^T}$. The transpose of a matrix is written by interchanging the rows and columns into columns and rows.
${A^T} = \left( {\begin{array}{*{20}{c}}
1&3 \\
2&4
\end{array}} \right)$
$
A - {A^T} = \left( {\begin{array}{*{20}{c}}
1&2 \\
3&4
\end{array}} \right) - \left( {\begin{array}{*{20}{c}}
1&3 \\
2&4
\end{array}} \right) \\
A - {A^T} = \left( {\begin{array}{*{20}{c}}
0&{ - 1} \\
1&0
\end{array}} \right) \\
$
${\left( {A - {A^T}} \right)^T} = \left( {\begin{array}{*{20}{c}}
0&1 \\
{ - 1}&0
\end{array}} \right)$ …(3)
$ - \left( {A - {A^T}} \right) = - \left( {\begin{array}{*{20}{c}}
0&{ - 1} \\
1&0
\end{array}} \right) = \left( {\begin{array}{*{20}{c}}
0&1 \\
{ - 1}&0
\end{array}} \right)$ …(4)
From (2), (3), and (4), we find that ${\left( {A - {A^T}} \right)^T} = - \left( {A - {A^T}} \right)$
holds true. So, $A - {A^T}$ is skew-symmetric.
Option (b) is ${A^T} - A$. For this to be skew-symmetric, from (1) the condition is
${\left( {{A^T} - A} \right)^T} = - \left( {{A^T} - A} \right)$ …(5)
$
{A^T} - A = \left( {\begin{array}{*{20}{c}}
1&3 \\
2&4
\end{array}} \right) - \left( {\begin{array}{*{20}{c}}
1&2 \\
3&4
\end{array}} \right) \\
{A^T} - A = \left( {\begin{array}{*{20}{c}}
0&1 \\
{ - 1}&0
\end{array}} \right) \\
$
${\left( {{A^T} - A} \right)^T} = \left( {\begin{array}{*{20}{c}}
0&{ - 1} \\
1&0
\end{array}} \right)$ …(6)
$ - \left( {{A^T} - A} \right) = - \left( {\begin{array}{*{20}{c}}
0&1 \\
{ - 1}&0
\end{array}} \right) = \left( {\begin{array}{*{20}{c}}
0&{ - 1} \\
1&0
\end{array}} \right)$ …(7)
From (5), (6), and (7), we find that ${\left( {{A^T} - A} \right)^T} = - \left( {{A^T} - A} \right)$
holds true. So, ${A^T} - A$ is skew-symmetric.
Option (c) is $A{A^T} - {A^T}A$. For this to be skew-symmetric, from (1) the condition is
${\left( {A{A^T} - {A^T}A} \right)^T} = - \left( {A{A^T} - {A^T}A} \right)$ …(8)
$
A{A^T} = \left( {\begin{array}{*{20}{c}}
1&2 \\
3&4
\end{array}} \right)\left( {\begin{array}{*{20}{c}}
1&3 \\
2&4
\end{array}} \right) \\
A{A^T} = \left( {\begin{array}{*{20}{c}}
{1\left( 1 \right) + 2\left( 2 \right)}&{1\left( 3 \right) + 2\left( 4 \right)} \\
{3\left( 1 \right) + 4\left( 2 \right)}&{3\left( 3 \right) + 4\left( 4 \right)}
\end{array}} \right) \\
A{A^T} = \left( {\begin{array}{*{20}{c}}
5&{11} \\
{11}&{25}
\end{array}} \right) \\
$
$
{A^T}A = \left( {\begin{array}{*{20}{c}}
1&3 \\
2&4
\end{array}} \right)\left( {\begin{array}{*{20}{c}}
1&2 \\
3&4
\end{array}} \right) \\
{A^T}A = \left( {\begin{array}{*{20}{c}}
{1\left( 1 \right) + 3\left( 3 \right)}&{1\left( 2 \right) + 3\left( 4 \right)} \\
{2\left( 1 \right) + 4\left( 3 \right)}&{2\left( 2 \right) + 4\left( 4 \right)}
\end{array}} \right) \\
{A^T}A = \left( {\begin{array}{*{20}{c}}
{10}&{14} \\
{14}&{20}
\end{array}} \right) \\
$
$
A{A^T} - {A^T}A = \left( {\begin{array}{*{20}{c}}
5&{11} \\
{11}&{25}
\end{array}} \right) - \left( {\begin{array}{*{20}{c}}
{10}&{14} \\
{14}&{20}
\end{array}} \right) \\
A{A^T} - {A^T}A = \left( {\begin{array}{*{20}{c}}
{ - 5}&{ - 3} \\
{ - 3}&5
\end{array}} \right) \\
$
${\left( {A{A^T} - {A^T}A} \right)^T} = \left( {\begin{array}{*{20}{c}}
{ - 5}&{ - 3} \\
{ - 3}&5
\end{array}} \right)$ …(9)
$ - \left( {A{A^T} - {A^T}A} \right) = - \left( {\begin{array}{*{20}{c}}
{ - 5}&{ - 3} \\
{ - 3}&5
\end{array}} \right) = \left( {\begin{array}{*{20}{c}}
5&3 \\
3&{ - 5}
\end{array}} \right)$ …(10)
From (8), (9), and (10), we find that ${\left( {A{A^T} - {A^T}A} \right)^T} \ne - \left( {A{A^T} -
{A^T}A} \right)$. So, $A{A^T} - {A^T}A$ is not skew-symmetric.
Option (d) is $A + {A^T}$, when $A$ is skew-symmetric. It is given that $A$ is skew-symmetric. So, from (1),
${A^T} = - A$ …(11)
For $A + {A^T}$ to be skew-symmetric, we need to prove that ${\left( {A + {A^T}} \right)^T} =
- \left( {A + {A^T}} \right)$
Using (11) here, we get
$
LHS = {(A + {A^T})^T} = {(A + {( - A)^T})^T} = \left( {\begin{array}{*{20}{c}}
0&0 \\
0&0
\end{array}} \right) \\
RHS = - (A + {A^T}) = - (A + ( - A)) = \left( {\begin{array}{*{20}{c}}
0&0 \\
0&0
\end{array}} \right) \\
$
LHS=RHS
So, ${\left( {A + {A^T}} \right)^T} = - \left( {A + {A^T}} \right)$ holds true. Hence, $A + {A^T}$ is skew-symmetric, when $A$ is skew-symmetric.
Hence, the only option (c) is not skew-symmetric.
Note: This problem can be alternatively solved without using the sample matrix and just by
using the formula ${\left( {A + B} \right)^T} = {A^T} + {B^T}$ for each of the statements given
to prove the condition for a skew-symmetric matrix. For example, for this $A - {A^T}$ option,
the condition is ${\left( {A - {A^T}} \right)^T} = - \left( {A - {A^T}} \right)$. $LHS = {\left( {A -
{A^T}} \right)^T} = {A^T} - {\left( {{A^T}} \right)^T} = {A^T} - A = - \left( {A - {A^T}} \right) =
RHS$. Similarly, this can be done for all options to prove it.
.
Let $A$ be any square matrix $A = \left( {\begin{array}{*{20}{c}}
1&2 \\
3&4
\end{array}} \right)$
The condition for a matrix $A$ to be skew-symmetric is
If ${A^T} = - A$, then $A$ is skew-symmetric. …(1)
Let us consider all the given options one by one and find out if they are skew-symmetric or not.
Option (a) is $A - {A^T}$. For this to be skew-symmetric, from (1) the condition is
${\left( {A - {A^T}} \right)^T} = - \left( {A - {A^T}} \right)$ …(2)
Let us find ${A^T}$. The transpose of a matrix is written by interchanging the rows and columns into columns and rows.
${A^T} = \left( {\begin{array}{*{20}{c}}
1&3 \\
2&4
\end{array}} \right)$
$
A - {A^T} = \left( {\begin{array}{*{20}{c}}
1&2 \\
3&4
\end{array}} \right) - \left( {\begin{array}{*{20}{c}}
1&3 \\
2&4
\end{array}} \right) \\
A - {A^T} = \left( {\begin{array}{*{20}{c}}
0&{ - 1} \\
1&0
\end{array}} \right) \\
$
${\left( {A - {A^T}} \right)^T} = \left( {\begin{array}{*{20}{c}}
0&1 \\
{ - 1}&0
\end{array}} \right)$ …(3)
$ - \left( {A - {A^T}} \right) = - \left( {\begin{array}{*{20}{c}}
0&{ - 1} \\
1&0
\end{array}} \right) = \left( {\begin{array}{*{20}{c}}
0&1 \\
{ - 1}&0
\end{array}} \right)$ …(4)
From (2), (3), and (4), we find that ${\left( {A - {A^T}} \right)^T} = - \left( {A - {A^T}} \right)$
holds true. So, $A - {A^T}$ is skew-symmetric.
Option (b) is ${A^T} - A$. For this to be skew-symmetric, from (1) the condition is
${\left( {{A^T} - A} \right)^T} = - \left( {{A^T} - A} \right)$ …(5)
$
{A^T} - A = \left( {\begin{array}{*{20}{c}}
1&3 \\
2&4
\end{array}} \right) - \left( {\begin{array}{*{20}{c}}
1&2 \\
3&4
\end{array}} \right) \\
{A^T} - A = \left( {\begin{array}{*{20}{c}}
0&1 \\
{ - 1}&0
\end{array}} \right) \\
$
${\left( {{A^T} - A} \right)^T} = \left( {\begin{array}{*{20}{c}}
0&{ - 1} \\
1&0
\end{array}} \right)$ …(6)
$ - \left( {{A^T} - A} \right) = - \left( {\begin{array}{*{20}{c}}
0&1 \\
{ - 1}&0
\end{array}} \right) = \left( {\begin{array}{*{20}{c}}
0&{ - 1} \\
1&0
\end{array}} \right)$ …(7)
From (5), (6), and (7), we find that ${\left( {{A^T} - A} \right)^T} = - \left( {{A^T} - A} \right)$
holds true. So, ${A^T} - A$ is skew-symmetric.
Option (c) is $A{A^T} - {A^T}A$. For this to be skew-symmetric, from (1) the condition is
${\left( {A{A^T} - {A^T}A} \right)^T} = - \left( {A{A^T} - {A^T}A} \right)$ …(8)
$
A{A^T} = \left( {\begin{array}{*{20}{c}}
1&2 \\
3&4
\end{array}} \right)\left( {\begin{array}{*{20}{c}}
1&3 \\
2&4
\end{array}} \right) \\
A{A^T} = \left( {\begin{array}{*{20}{c}}
{1\left( 1 \right) + 2\left( 2 \right)}&{1\left( 3 \right) + 2\left( 4 \right)} \\
{3\left( 1 \right) + 4\left( 2 \right)}&{3\left( 3 \right) + 4\left( 4 \right)}
\end{array}} \right) \\
A{A^T} = \left( {\begin{array}{*{20}{c}}
5&{11} \\
{11}&{25}
\end{array}} \right) \\
$
$
{A^T}A = \left( {\begin{array}{*{20}{c}}
1&3 \\
2&4
\end{array}} \right)\left( {\begin{array}{*{20}{c}}
1&2 \\
3&4
\end{array}} \right) \\
{A^T}A = \left( {\begin{array}{*{20}{c}}
{1\left( 1 \right) + 3\left( 3 \right)}&{1\left( 2 \right) + 3\left( 4 \right)} \\
{2\left( 1 \right) + 4\left( 3 \right)}&{2\left( 2 \right) + 4\left( 4 \right)}
\end{array}} \right) \\
{A^T}A = \left( {\begin{array}{*{20}{c}}
{10}&{14} \\
{14}&{20}
\end{array}} \right) \\
$
$
A{A^T} - {A^T}A = \left( {\begin{array}{*{20}{c}}
5&{11} \\
{11}&{25}
\end{array}} \right) - \left( {\begin{array}{*{20}{c}}
{10}&{14} \\
{14}&{20}
\end{array}} \right) \\
A{A^T} - {A^T}A = \left( {\begin{array}{*{20}{c}}
{ - 5}&{ - 3} \\
{ - 3}&5
\end{array}} \right) \\
$
${\left( {A{A^T} - {A^T}A} \right)^T} = \left( {\begin{array}{*{20}{c}}
{ - 5}&{ - 3} \\
{ - 3}&5
\end{array}} \right)$ …(9)
$ - \left( {A{A^T} - {A^T}A} \right) = - \left( {\begin{array}{*{20}{c}}
{ - 5}&{ - 3} \\
{ - 3}&5
\end{array}} \right) = \left( {\begin{array}{*{20}{c}}
5&3 \\
3&{ - 5}
\end{array}} \right)$ …(10)
From (8), (9), and (10), we find that ${\left( {A{A^T} - {A^T}A} \right)^T} \ne - \left( {A{A^T} -
{A^T}A} \right)$. So, $A{A^T} - {A^T}A$ is not skew-symmetric.
Option (d) is $A + {A^T}$, when $A$ is skew-symmetric. It is given that $A$ is skew-symmetric. So, from (1),
${A^T} = - A$ …(11)
For $A + {A^T}$ to be skew-symmetric, we need to prove that ${\left( {A + {A^T}} \right)^T} =
- \left( {A + {A^T}} \right)$
Using (11) here, we get
$
LHS = {(A + {A^T})^T} = {(A + {( - A)^T})^T} = \left( {\begin{array}{*{20}{c}}
0&0 \\
0&0
\end{array}} \right) \\
RHS = - (A + {A^T}) = - (A + ( - A)) = \left( {\begin{array}{*{20}{c}}
0&0 \\
0&0
\end{array}} \right) \\
$
LHS=RHS
So, ${\left( {A + {A^T}} \right)^T} = - \left( {A + {A^T}} \right)$ holds true. Hence, $A + {A^T}$ is skew-symmetric, when $A$ is skew-symmetric.
Hence, the only option (c) is not skew-symmetric.
Note: This problem can be alternatively solved without using the sample matrix and just by
using the formula ${\left( {A + B} \right)^T} = {A^T} + {B^T}$ for each of the statements given
to prove the condition for a skew-symmetric matrix. For example, for this $A - {A^T}$ option,
the condition is ${\left( {A - {A^T}} \right)^T} = - \left( {A - {A^T}} \right)$. $LHS = {\left( {A -
{A^T}} \right)^T} = {A^T} - {\left( {{A^T}} \right)^T} = {A^T} - A = - \left( {A - {A^T}} \right) =
RHS$. Similarly, this can be done for all options to prove it.
.
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