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If Rank (A) = 2 and Rank (B) = 3, then Rank (AB) is __________.
  • a)
    6
  • b)
    5
  • c)
    3
  • d)
    Data inadequate
Correct answer is option 'D'. Can you explain this answer?
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If Rank (A) = 2 and Rank (B) = 3, then Rank (AB) is __________.a)6b)5c...
Explanation:

The rank of a matrix refers to the maximum number of linearly independent rows or columns in the matrix.

When we multiply two matrices A and B, the rank of the resulting matrix AB can be less than, equal to or greater than the ranks of matrices A and B.

However, we cannot determine the rank of AB solely based on the ranks of A and B. We also need information about the dimensions and entries of A and B to determine the rank of AB.

Therefore, the answer to this question is "data inadequate" as we do not have enough information to determine the rank of AB.
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If Rank (A) = 2 and Rank (B) = 3, then Rank (AB) is __________.a)6b)5c...
Given,
ρ(A) = 2
ρ(B) = 3
Rank: The rank of a matrix is a number equal to the order of the highest order non-vanishing minor, that can be formed from the matrix.
For matrix A, it is denoted by ρ(A).
The rank of a matrix is said to be r if, there is at least one non-zero minor of order r.
Every minor of matrix A having an order higher than r is zero.
Property of Rank of matrix:
ρ(AB) ≤ min[ρ(A), ρ(B)]
The rank of a matrix does not change by elementary transformation, we can calculate the rank by changing the matrix into Echelon form. In the Echelon form, the rank of a matrix is the number of non-zero rows of the matrix.
The rank of a matrix is zero if the matrix is null.
The rank of a skew-symmetric matrix cannot be one.
Using properties,
ρ(AB) ≤ min[ρ(A), ρ(B)]
ρ(AB) ≤ min(2,3)
⇒ ρ(AB) ≤ 2
∴ We don't know the dimension of A and B, we cannot predict the exact rank of AB but its maximum rank will be 2.
Hence, the correct option is (D).
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