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Suppose $A$ is an $11 \times 5$ matrix and $T$ is the corresponding linear transformation given by the formula $T(x)=A x$. Which of the following statements are true?
  1. $\operatorname{dim}(\operatorname{Col} A) \geq \operatorname{dim}(\operatorname{Nul} A)$.
  2. If the columns of $A$ are linearly independent, then the range of $T$ is $\mathbf{R}^{5}$.
  3. Suppose $b$ is a vector so that the matrix equation $A x=b$ is consistent. Then the set of solutions to $A x=b$ must be a subspace of $\mathbf{R}^{5}$.
  4. If the matrix equation $A x=0$ has infinitely many solutions, then $\operatorname{rank}(A) \leq 4$.

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A. False, 

More than 2 Linearly Dependent column can also exist in A.

 

B. False,

domain of Ax =  R= 5 

co-domain of Ax = R= 11

If columns are Linearly Independent, then range of T will be Col(A) in subset of Co-domain i.e, Rm = R11

 

C. False

Null(A) will be in Rn = R5, and b = linear combination of Columns of A.

for Ax = b will have solution like, 

b = x1[] + x2[] + x3[] + x4[] + x5[] , not all xi = 0, 

a constant term b is added, so not a subspace.

 

D. True

m = 11, n = 5

m > n,

rank(A) <= n, for existence of infinitely many solutions rank < n, such that atleast one free variables could exist.

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