Question
Let A and B be 3 3 real matrices such that A is symmetric matrix and B is skew-symmetric matrix. Then the system of linear equations (A 2 B 2 B 2 A 2 ) X = O, where X is a 3 1 column matrix of unknown variables and O is a 3 1 null matrix, has :
Options
Solution
Key Concepts and Formulas
- Matrix Transpose Properties: For matrices (of compatible dimensions) and a scalar :
- (Note the order reversal!)
- for any positive integer .
- Symmetric and Skew-Symmetric Matrices:
- A square matrix is symmetric if its transpose is equal to itself: .
- A square matrix is skew-symmetric if its transpose is equal to its negative: .
- Determinant of a Skew-Symmetric Matrix: For an skew-symmetric matrix , if is odd, then its determinant is always .
- Homogeneous System of Linear Equations: A system of the form (where is a square matrix, is a column vector of variables, and is a null column vector) always has at least one solution, the trivial solution .
- If , the system has a unique solution (which is the trivial solution ).
- If , the system has infinitely many solutions (including the trivial solution). A homogeneous system can never have "no solution".
Step-by-Step Solution
Step 1: Identify the given information and the goal. We are given two real matrices, and .
- is symmetric:
- is skew-symmetric: We need to determine the nature of solutions for the homogeneous system of linear equations . Let the coefficient matrix be . The system is . To find the nature of solutions, we must evaluate .
Step 2: Determine the symmetry properties of and . We will use the transpose property to find the transposes of and .
-
For : Since is symmetric, we substitute from equation (1): This implies that is a symmetric matrix.
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For : Since is skew-symmetric, we substitute from equation (2): This implies that is also a symmetric matrix.
Step 3: Determine the symmetry property of the coefficient matrix . Now, we find the transpose of the matrix . Using the transpose property for sums/differences, : Next, we use the transpose property for products, : From Step 2, we know that is symmetric () and is symmetric (). Substituting these into the expression for : Now, compare with the original matrix . We can factor out : Since , the matrix is a skew-symmetric matrix.
Step 4: Calculate the determinant of . The matrix is a skew-symmetric matrix. According to the properties of determinants of skew-symmetric matrices, for an skew-symmetric matrix, if is odd, its determinant is always zero. Here, the dimension , which is an odd number. Therefore, .
Step 5: Determine the nature of solutions for the system . We have a homogeneous system of linear equations . From Step 4, we found that the determinant of the coefficient matrix is . For a homogeneous system, if the determinant of the coefficient matrix is zero, the system has infinitely many solutions. This set of solutions includes the trivial solution and an infinite number of non-trivial solutions.
Common Mistakes & Tips
- Homogeneous Systems and "No Solution": A homogeneous system always has at least the trivial solution . Therefore, "no solution" is never a possible answer for a homogeneous system.
- Transpose Order: Be meticulous with the order of matrices when taking the transpose of a product: . A common error is to write .
- Skew-Symmetric Determinants: Remember that the property for an skew-symmetric matrix is true only when is odd. For even , the determinant is generally non-zero.
Summary
By utilizing the properties of matrix transposes, we first established that both and are symmetric matrices. Subsequently, we applied transpose properties to the coefficient matrix , proving that is a skew-symmetric matrix. Since is a matrix (an odd dimension), its determinant must be zero. For a homogeneous system of linear equations , a zero determinant implies that the system has infinitely many solutions.
The final answer is , which corresponds to option (C).