Let $A=\begin{pmatrix}1 & 0 & 0 \\ 0 & 4 & -1 \\ 0 & 12 & -3\end{pmatrix}$ Then the sum of the diagonal elements of the matrix $(A+I)^{11}$ is equal to :
Step 1: First, calculate \( A^2 \): \[ A^2 = \begin{pmatrix} 1 & 0 & 0 \\ 0 & 4 & -1 \\ 0 & 12 & -3 \end{pmatrix} \begin{pmatrix} 1 & 0 & 0 \\ 0 & 4 & -1 \\ 0 & 12 & -3 \end{pmatrix} = \begin{pmatrix} 1 & 0 & 0 \\ 0 & 4 & -1 \\ 0 & 12 & -3 \end{pmatrix} \] This matrix multiplication yields the same matrix \( A \), meaning that \( A^2 = A \).
Step 2: From this, we have: \[ A^3 = A^4 = \cdots = A \] Since \( A^2 = A \), any higher powers of \( A \) will also be equal to \( A \).
Step 3: Now, calculate \( (A + I)^{11} \): \[ (A + I)^{11} = \sum_{k=0}^{11} \binom{11}{k} A^k I^{11-k} = \left( (2^{11} - 1)A + I \right) \] Here, we used the binomial expansion of \( (A + I)^{11} \), and since \( A^k = A \) for all \( k \geq 1 \), the expression simplifies as shown.
Step 4: The sum of the diagonal elements is then: \[ \text{Sum of diagonal elements} = 2047 \times (1 + 4 - 3) + 3 = 4094 + 3 = 4097 \] This gives the final result for the sum of the diagonal elements of \( (A + I)^{11} \).
Let \(A=\) [\(a_{ij}\)]\(_{2\times2}\) be a matrix and \(A^2 = I\) where \(a_{ij} \neq0\). If a sum of diagonal elements and b=det(A), then \(3a^2+4b^2\) is
If \(A=\frac{1}{2}\begin{bmatrix}1 & \sqrt{3} \\ -\sqrt{3} & 1\end{bmatrix}\), then :
What will be the equilibrium constant of the given reaction carried out in a \(5 \,L\) vessel and having equilibrium amounts of \(A_2\) and \(A\) as \(0.5\) mole and \(2 \times 10^{-6}\) mole respectively?
The reaction : \(A_2 \rightleftharpoons 2A\)
A black body is at a temperature of 2880 K. The energy of radiation emitted by this body with wavelength between 499 nm and 500 nm is U1, between 999 nm and 1000 nm is U2 and between 1499 nm and 1500 nm is U3. The Wien's constant, b = 2.88×106 nm-K. Then,
The numbers or functions that are kept in a matrix are termed the elements or the entries of the matrix.
The matrix acquired by interchanging the rows and columns of the parent matrix is termed the Transpose matrix. The definition of a transpose matrix goes as follows - “A Matrix which is devised by turning all the rows of a given matrix into columns and vice-versa.”