
Let A and B be any two matrices. If A is symmetric and B is skew symmetric, then the matrix is:
A) Skew symmetric
B) Symmetric
C) Neither symmetric nor skew symmetric
D) I or –I, where I is the identity matrix
Answer
507.3k+ views
Hint: Here we will find the transpose of the given matrix and then use the concept of symmetric and skew symmetric matrix i.e.
If a matrix X is symmetric then
If a matrix Y is skew symmetric then
Complete step-by-step answer:
The given matrix is:-
Taking transpose of the above matrix we get:-
Now we know that:
Hence, applying this property we get:-
……………………………………….(1)
Now since A is symmetric matrix
Therefore,
Since B is skew symmetric matrix
Therefore,
Hence substituting the values in equation 1 we get:-
Simplifying it further we get:-
Hence, is a symmetric matrix.
Therefore, option A is the correct option.
Note: Students should note that only the square matrices can be symmetric or skew-symmetric form.
Also, matrix A is said to be symmetric if the transpose of matrix A is equal to matrix A and the upper triangular matrix is equal to the lower triangular matrix
Matrix A is said to be skew-symmetric if the transpose of matrix A is equal to negative of matrix A and the upper triangular matrix is negative to the lower triangular matrix or vice-versa.
If a matrix X is symmetric then
If a matrix Y is skew symmetric then
Complete step-by-step answer:
The given matrix is:-
Taking transpose of the above matrix we get:-
Now we know that:
Hence, applying this property we get:-
Now since A is symmetric matrix
Therefore,
Since B is skew symmetric matrix
Therefore,
Hence substituting the values in equation 1 we get:-
Simplifying it further we get:-
Hence,
Therefore, option A is the correct option.
Note: Students should note that only the square matrices can be symmetric or skew-symmetric form.
Also, matrix A is said to be symmetric if the transpose of matrix A is equal to matrix A and the upper triangular matrix is equal to the lower triangular matrix
Matrix A is said to be skew-symmetric if the transpose of matrix A is equal to negative of matrix A and the upper triangular matrix is negative to the lower triangular matrix or vice-versa.
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