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JEE Main 2024
Matrices & Determinants
Matrices and Determinants
Medium

Question

Let A and B be 3 ×\times 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 ×\times 1 column matrix of unknown variables and O is a 3 ×\times 1 null matrix, has :

Options

Solution

Key Concepts and Formulas

  1. Matrix Transpose Properties: For matrices M,NM, N (of compatible dimensions) and a scalar kk:
    • (M+N)T=MT+NT(M+N)^T = M^T + N^T
    • (kM)T=kMT(kM)^T = kM^T
    • (MN)T=NTMT(MN)^T = N^T M^T (Note the order reversal!)
    • (Mk)T=(MT)k(M^k)^T = (M^T)^k for any positive integer kk.
  2. Symmetric and Skew-Symmetric Matrices:
    • A square matrix MM is symmetric if its transpose is equal to itself: MT=MM^T = M.
    • A square matrix MM is skew-symmetric if its transpose is equal to its negative: MT=MM^T = -M.
  3. Determinant of a Skew-Symmetric Matrix: For an n×nn \times n skew-symmetric matrix PP, if nn is odd, then its determinant det(P)\det(P) is always 00.
  4. Homogeneous System of Linear Equations: A system of the form PX=OPX = O (where PP is a square matrix, XX is a column vector of variables, and OO is a null column vector) always has at least one solution, the trivial solution X=OX=O.
    • If det(P)0\det(P) \neq 0, the system has a unique solution (which is the trivial solution X=OX=O).
    • If det(P)=0\det(P) = 0, 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 3×33 \times 3 real matrices, AA and BB.

  • AA is symmetric: AT=A(1)A^T = A \quad \ldots(1)
  • BB is skew-symmetric: BT=B(2)B^T = -B \quad \ldots(2) We need to determine the nature of solutions for the homogeneous system of linear equations (A2B2B2A2)X=O(A^2 B^2 - B^2 A^2) X = O. Let the coefficient matrix be P=A2B2B2A2P = A^2 B^2 - B^2 A^2. The system is PX=OPX = O. To find the nature of solutions, we must evaluate det(P)\det(P).

Step 2: Determine the symmetry properties of A2A^2 and B2B^2. We will use the transpose property (Mk)T=(MT)k(M^k)^T = (M^T)^k to find the transposes of A2A^2 and B2B^2.

  • For A2A^2: (A2)T=(AT)2(A^2)^T = (A^T)^2 Since AA is symmetric, we substitute AT=AA^T = A from equation (1): (A2)T=A2(A^2)^T = A^2 This implies that A2A^2 is a symmetric matrix.

  • For B2B^2: (B2)T=(BT)2(B^2)^T = (B^T)^2 Since BB is skew-symmetric, we substitute BT=BB^T = -B from equation (2): (B2)T=(B)2=(1)2B2=B2(B^2)^T = (-B)^2 = (-1)^2 B^2 = B^2 This implies that B2B^2 is also a symmetric matrix.

Step 3: Determine the symmetry property of the coefficient matrix P=A2B2B2A2P = A^2 B^2 - B^2 A^2. Now, we find the transpose of the matrix PP. PT=(A2B2B2A2)TP^T = (A^2 B^2 - B^2 A^2)^T Using the transpose property for sums/differences, (MN)T=MTNT(M-N)^T = M^T - N^T: PT=(A2B2)T(B2A2)TP^T = (A^2 B^2)^T - (B^2 A^2)^T Next, we use the transpose property for products, (MN)T=NTMT(MN)^T = N^T M^T: PT=(B2)T(A2)T(A2)T(B2)TP^T = (B^2)^T (A^2)^T - (A^2)^T (B^2)^T From Step 2, we know that A2A^2 is symmetric ((A2)T=A2(A^2)^T = A^2) and B2B^2 is symmetric ((B2)T=B2(B^2)^T = B^2). Substituting these into the expression for PTP^T: PT=B2A2A2B2P^T = B^2 A^2 - A^2 B^2 Now, compare PTP^T with the original matrix P=A2B2B2A2P = A^2 B^2 - B^2 A^2. We can factor out 1-1: PT=(A2B2B2A2)=PP^T = -(A^2 B^2 - B^2 A^2) = -P Since PT=PP^T = -P, the matrix PP is a skew-symmetric matrix.

Step 4: Calculate the determinant of PP. The matrix PP is a 3×33 \times 3 skew-symmetric matrix. According to the properties of determinants of skew-symmetric matrices, for an n×nn \times n skew-symmetric matrix, if nn is odd, its determinant is always zero. Here, the dimension n=3n=3, which is an odd number. Therefore, det(P)=0\det(P) = 0.

Step 5: Determine the nature of solutions for the system PX=OPX=O. We have a homogeneous system of linear equations PX=OPX=O. From Step 4, we found that the determinant of the coefficient matrix PP is det(P)=0\det(P) = 0. 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 X=OX=O and an infinite number of non-trivial solutions.

Common Mistakes & Tips

  • Homogeneous Systems and "No Solution": A homogeneous system PX=OPX=O always has at least the trivial solution X=OX=O. 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: (MN)T=NTMT(MN)^T = N^T M^T. A common error is to write (MN)T=MTNT(MN)^T = M^T N^T.
  • Skew-Symmetric Determinants: Remember that the property det(M)=0\det(M)=0 for an n×nn \times n skew-symmetric matrix MM is true only when nn is odd. For even nn, the determinant is generally non-zero.

Summary

By utilizing the properties of matrix transposes, we first established that both A2A^2 and B2B^2 are symmetric matrices. Subsequently, we applied transpose properties to the coefficient matrix P=A2B2B2A2P = A^2 B^2 - B^2 A^2, proving that PP is a skew-symmetric matrix. Since PP is a 3×33 \times 3 matrix (an odd dimension), its determinant det(P)\det(P) must be zero. For a homogeneous system of linear equations PX=OPX=O, a zero determinant implies that the system has infinitely many solutions.

The final answer is infinitely many solutions\boxed{\text{infinitely many solutions}}, which corresponds to option (C).

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