We compute \( M \) as \( M = A^\dagger B A \). The adjoint (conjugate transpose) of \( A \), \( A^\dagger \), and the product \( A^\dagger B A \) lead to a specific form of \( M \):
\[ M = \begin{pmatrix} 1 & i \\ 0 & 1 \end{pmatrix}. \]
To find \( M^{2023} \), we observe the pattern of powers of \( M \):
\[ M^2 = \begin{pmatrix} 1 & 2i \\ 0 & 1 \end{pmatrix}, \quad M^3 = \begin{pmatrix} 1 & 3i \\ 0 & 1 \end{pmatrix}, \quad M^n = \begin{pmatrix} 1 & ni \\ 0 & 1 \end{pmatrix}. \]
Thus:
\[ M^{2023} = \begin{pmatrix} 1 & 2023i \\ 0 & 1 \end{pmatrix}. \]
The inverse of \( AM^{2023}A^\dagger \) can be found using the forms of \( A \), \( M^{2023} \), and \( A^\dagger \). The computation shows that:
\[ AM^{2023}A^\dagger = \begin{pmatrix} 1 & 2023i \\ 0 & 1 \end{pmatrix}. \]
Therefore, its inverse is:
\[ \text{Inverse} = \begin{pmatrix} 1 & -2023i \\ 0 & 1 \end{pmatrix}. \]
Thus, the correct answer is Option (3).
If A and B are two n times n non-singular matrices, then
A substance 'X' (1.5 g) dissolved in 150 g of a solvent 'Y' (molar mass = 300 g mol$^{-1}$) led to an elevation of the boiling point by 0.5 K. The relative lowering in the vapour pressure of the solvent 'Y' is $____________ \(\times 10^{-2}\). (nearest integer)
[Given : $K_{b}$ of the solvent = 5.0 K kg mol$^{-1}$]
Assume the solution to be dilute and no association or dissociation of X takes place in solution.
Inductance of a coil with \(10^4\) turns is \(10\,\text{mH}\) and it is connected to a DC source of \(10\,\text{V}\) with internal resistance \(10\,\Omega\). The energy density in the inductor when the current reaches \( \left(\frac{1}{e}\right) \) of its maximum value is \[ \alpha \pi \times \frac{1}{e^2}\ \text{J m}^{-3}. \] The value of \( \alpha \) is _________.
\[ (\mu_0 = 4\pi \times 10^{-7}\ \text{TmA}^{-1}) \]
A matrix is a rectangular array of numbers, variables, symbols, or expressions that are defined for the operations like subtraction, addition, and multiplications. The size of a matrix is determined by the number of rows and columns in the matrix.

There are many types of matrices and are further categorized on the basis of the value of their elements, their order, number of rows and columns, etc.
Read More: Matrices