To solve the given problem, we need to analyze the behavior of matrix \( A \) when raised to the power of 100, i.e., \( A^{100} \), and determine the sum of all elements in \( B^{100} \) where \( A^{100} = 100B + I \).
First, find the eigenvalues of the matrix \( A \).
The matrix \( A \) is:
| \( 3 \) | \(-4\) |
| \( 1 \) | \(-1\) |
The characteristic equation of \( A \) is given by:
\(\det(A - \lambda I) = 0\)
Where the identity matrix \( I \) is:
| \( 1 \) | \( 0 \) |
| \( 0 \) | \( 1 \) |
The determinant of \( A - \lambda I \) is:
\(\det\begin{pmatrix} 3-\lambda & -4 \\ 1 & -1-\lambda \end{pmatrix} = 0\)
Simplifying the above determinant:
\((3-\lambda)(-1-\lambda) - (-4)(1) = \lambda^2 - 2\lambda + 1 = 0\)
This factors to:
\((\lambda - 1)^2 = 0\)
Therefore, the eigenvalue \( \lambda = 1 \) with algebraic multiplicity 2.
For matrices with eigenvalues all equal to 1 and size 2x2, the powers of the matrices simplify. Specifically, \( A^n \) approaches a scalar multiple of \( I \) plus linear combinations of \( A \) and its infinitesimal changes due to the Jordan form.
Given \( A^{100} = 100B + I \), rearrange as:
\(100B = A^{100} - I\)
Since \( A \) approaches a matrix similar to the identity matrix as \( n \to \infty \) and because eigenvalue is 1:
\(A^{100} \approx I \Rightarrow 100B \approx 0 \Rightarrow B \approx 0\)
Thus, \( B^{100} \approx 0^{100} = 0 \), leading to:
The sum of all elements in \( B^{100} \) is \(0.\)