$$ \begin{vmatrix} x-2 & 3x-3 & 5x-5 \\ x-4 & 3x-9 & 5x-25 \\ x-8 & 3x-27 & 5x-125 \end{vmatrix} = 0 $$
\( x^2 + 2x - 3 = 0 \)
Determinant Analysis
Step 1: Analyze the given determinant. We start by writing down the determinant:
\[ \begin{vmatrix} x-2 & 3x-3 & 5x-5 \\ x-4 & 3x-9 & 5x-25 \\ x-8 & 3x-27 & 5x-125 \end{vmatrix} \]
Each element in the determinant contains terms that are linear with \(x\).
Step 2: Factor out common elements from each column. Looking closely, we notice that each column can be factored:
Column 1: \(x-2, \, x-4, \, x-8\)
Column 2: \(3(x-1), \, 3(x-3), \, 3(x-9)\)
Column 3: \(5(x-1), \, 5(x-5), \, 5(x-25)\)
Factoring from each column, we observe:
\[ \begin{vmatrix} 1 & 3 & 5 \\ 1 & 3 & 5 \\ 1 & 3 & 5 \end{vmatrix} \]
Since each row of the matrix is identical, the rows are linearly dependent, making the determinant equal to zero.
Step 3: Connect the determinant to a quadratic equation. Given that the determinant must be zero, we look for quadratic equations that might satisfy the values of \(x\) extracted from the determinant’s simplified form. We know from the factors that \(x\) values involved might relate closely to the roots of a quadratic equation.
Step 4: Verify against provided options. Solving the quadratic equation \(x^2 + 2x - 3 = 0\):
\[ x^2 + 2x - 3 = 0 \Rightarrow (x+3)(x-1) = 0 \Rightarrow x = -3, \, x = 1 \]
Given the structure of the matrix and the factorization, it is likely that \(x = 1\) is a critical point that affects the determinant, aligning with the results of solving the quadratic equation.
Conclusion: Therefore, \(x = k\) that satisfies the determinant being zero also satisfies the quadratic equation \(x^2 + 2x - 3 = 0\), making option (4) the correct answer.
A, B, C, D are square matrices such that A + B is symmetric, A - B is skew-symmetric, and D is the transpose of C.
If
\[ A = \begin{bmatrix} -1 & 2 & 3 \\ 4 & 3 & -2 \\ 3 & -4 & 5 \end{bmatrix} \]
and
\[ C = \begin{bmatrix} 0 & 1 & -2 \\ 2 & -1 & 0 \\ 0 & 2 & 1 \end{bmatrix} \]
then the matrix \( B + D \) is:
Given matrices \( A \) and \( B \) where:
and the condition:
If matrix \( C \) is defined as:
then the trace of \( C \) is:
Matrix Inverse Sum Calculation
Given the matrix:
A = | 1 2 2 | | 3 2 3 | | 1 1 2 |
The inverse matrix is represented as:
A-1 = | a11 a12 a13 | | a21 a22 a23 | | a31 a32 a33 |
The sum of all elements in A-1 is:
Match the following: