True/False Chapter 2 Flashcards

1
Q

If A and B are 2x2 with columns a1, a2 and b1, b2, respectively, then AB=[a1 b1 a2 b2]

A

false

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2
Q

Each column of AB is a linear combination of the columns of B using weights from the corresponding columns of A

A

false : the roles of A and B should be reversed in the second half statement

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3
Q

AB + AC = A(B+C)

A

true

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4
Q

A^T + B^T = (A+B)^T

A

true

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5
Q

The transpose of a product of matrices equals the product of their transposes in the same order

A

false : the phrase ‘in the same order’ should be ‘in the reverse order’

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6
Q

If A and B are 3x3 and B=[b1 b2 b3], then AB=[Ab1+Ab2+ab3]

A

false : AB must be a 3x3 matrix, but the formula for AB implies that it is 3x1. The plus sign should just be spaces (between columns)

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7
Q

The second row of AB is the second row of A multiplied on the right by B

A

true

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8
Q

(AB)C = (AC)B

A

false : the left-to-right order of B and C cannot be changed, in general

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9
Q

(AB)^T = A^T B^T

A

false

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10
Q

The transpose of a sum of matrices equals the sum of their transposes

A

true

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11
Q

A product of invertible nxn matrices is invertible, and the inverse of the product is the product of their inverses in the same order

A

false : the product matrix is invertible, but the product of inverses should be in the reverse order

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12
Q

If A is invertible, then the inverse of A^-1 is A itself

A

true

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13
Q

If A = a b and ad=bc then A is not invertible

c d

A

true

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14
Q

If A can be row reduced to the identity matrix, then A must be invertible

A

true

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15
Q

If A is invertible, then elementary row operations that reduce A to the identity In also reduce A^-1 to In

A

false

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16
Q

In order for a matrix B to be the inverse of A, both equations AB = I and BA = I must be true

A

true

17
Q

If A and B are nxn and invertible, then A^-1B^-1 is the inverse of AB

A

false

18
Q

If A = a b and ab-cd /= 0, then A is invertible

c d

A

false : it’s ad-bc /=0

19
Q

If A is an invertible nxn matrix, then the equation Ax=b is consistent for each b in Rn

A

true

20
Q

Each elementary matrix is invertible

A

true

21
Q

If the equation Ax=0 has only the trivial solution, then A is row equivalent to the nxn identity matrix

A

true : by IMT, if statement d is true, then so is b

22
Q

If the columns of A span Rn, then the columns are linearly independent

A

true : by IMT

23
Q

If A is an nxn matrix, then the equation Ax=b has at least one solution for each b in Rn

A

false : only true for invertible matrices

24
Q

If the equation Ax=0 has a nontrivial solution, then A has fewer than n pivot positions

A

true

25
Q

If A^T is not invertible, then A is not invertible

A

true

26
Q

If there is an nxn matrix D such that AD = I, then there is also an nxn matrix C such that CA = I

A

true

27
Q

If the columns of A are linearly independent, then the columns of A span Rn

A

true

28
Q

If the equation Ax=b has at least one solution for each b in Rn, then the solution is unique for each b

A

true

29
Q

If the linear transformation (x)–>Ax maps Rn into Rn, then A has n pivot positions

A

false : the first part of the statement is not part i of the IMT. In fact, if A is any nxn matrix, the linear transformation x–>Ax maps Rn into Rn, yet not every such matrix has n pivot positions

30
Q

If there is a b(vector) in Rn such that the equation Ax=b is inconsistent, then the transformation x–>Ax is not one-to-one

A

true