Suppose that is an matrix with . For an vector consider the equations
where is the transpose of the matrix . Which of the following statements are correct?
["A","B"]
Step-by-Step Solution
Key idea: This question tests the relationship between the solvability of and the invertibility of , and how this relates to .
Step 1: Analyze Option A. "If equation (1) admits a solution for all , then exists."
If has a solution for every , then the column space of is all of . This means has full rank (). For a square matrix, full rank implies invertibility. So, exists. Option A is Correct.
Step 2: Analyze Option B. "If equation (1) admits a solution for all , then equation (2) also admits a solution for all ."
From Step 1, if (1) is solvable for all , then is invertible.
If is invertible, then is also invertible (since ).
If is invertible, then has a unique solution for every .
So, Option B is Correct.
Step 3: Analyze Option C. "If equation (1) admits a solution for some , then exists."
Solvability for some does not imply full rank. could be singular, and just happens to be in the column space.
Counterexample: , . has solution . But is not invertible. Option C is Incorrect.
Step 4: Analyze Option D. "If equation (1) admits a solution for some , then equation (2) also admits a solution for that ."
Using the same counterexample: , .
has a solution.
Check . Since is symmetric, . So is the same system, which has a solution.
Wait, let's pick a non-symmetric singular matrix.
Let . .
Let .
. Solution exists ().
Now check . No solution.
So, solvability of does not imply solvability of for the same if is singular. Option D is Incorrect.
Answer: Options A and B are correct.