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**Hint:**First express the $2 \times 2$ matrix in its standard form$\left| {\begin{array}{*{20}{c}}

{{a_{11}}}&{{a_{12}}} \\

{{a_{21}}}&{{a_{22}}}

\end{array}} \right|$. Then calculate the elements of the matrix using the given formula ${a_{ij}} = \left| {\dfrac{{3i - j}}{2}} \right|$.

**Complete step-by-step answer:**

In mathematics, a matrix (plural matrices) is a rectangular array or table of numbers, symbols, or expressions, arranged in rows and columns. Example of a $2 \times 2$matrix is $\left| {\begin{array}{*{20}{c}}

2&5 \\

3&6

\end{array}} \right|$.

The size of a matrix is denoted by the number of rows and columns that a matrix contains.

The elements of a matrix is denoted by ${a_{ij}}$, it means that ${a_{ij}}$is the element in the $i$th row and $j$th column.

Here it is mentioned that ${a_{ij}} = \left| {\dfrac{{3i - j}}{2}} \right|$

We have to find a $2 \times 2$ matrix.

So the matrix will be in the form $\left| {\begin{array}{*{20}{c}}

{{a_{11}}}&{{a_{12}}} \\

{{a_{21}}}&{{a_{22}}}

\end{array}} \right|$

Now we have to calculate ${a_{11,}}{a_{12}},{a_{21}},{a_{22}}$ respectively.

${a_{ij}} = \left| {\dfrac{{3i - j}}{2}} \right|$

So ${a_{11}} = \left| {\dfrac{{3 \times 1 - 1}}{2}} \right| = \dfrac{2}{2} = 1$

Similarly ${a_{12}} = \left| {\dfrac{{3 \times 1 - 2}}{2}} \right| = \dfrac{1}{2}$, ${a_{21}} = \left| {\dfrac{{3 \times 2 - 1}}{2}} \right| = \dfrac{5}{2}$ and ${a_{22}} = \left| {\dfrac{{3 \times 2 - 2}}{2}} \right| = \dfrac{4}{2} = 2$

So the required $2 \times 2$ matrix is $\left| {\begin{array}{*{20}{c}}

{{a_{11}}}&{{a_{12}}} \\

{{a_{21}}}&{{a_{22}}}

\end{array}} \right|$

=$\left| {\begin{array}{*{20}{c}}

{{a_{11}}}&{{a_{12}}} \\

{{a_{21}}}&{{a_{22}}}

\end{array}} \right| = \left| {\begin{array}{*{20}{c}}

1&{\dfrac{1}{2}} \\

{\dfrac{5}{2}}&2

\end{array}} \right|$

**The required $2 \times 2$ matrix is $\left| {\begin{array}{*{20}{c}}**

1&{\dfrac{1}{2}} \\

{\dfrac{5}{2}}&2

\end{array}} \right|$

1&{\dfrac{1}{2}} \\

{\dfrac{5}{2}}&2

\end{array}} \right|$

**Note:**We should also remember various information of matrix regarding ${a_{ij}}$

For example: If a matrix is symmetric than we can say that ${a_{ij}} = {a_{ji}}$, whether if the matrix be skew symmetric then ${a_{ij}} = - {a_{ji}}$. For a null matrix ${a_{ij}} = 0$.

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