Unit 5 - Matrices and Vectors Flashcards

1
Q

A matrix with just one column is also called

A

a vector

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2
Q

An m × n matrix is a

A

rectangular array of values (called entries), arranged in m rows and n columns s (where m and n are positive integers)

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3
Q

If M is a matrix, then its transpose is a

A

a matrix that is the “flipped” version of M, where each row of M becomes a column, and each column of M becomes a row.

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4
Q

Consider the following 2 × 3 matrix:
M =
[10 20 30]
[40 50 60]

the transpose of M is the following

A

3 × 2 matrix:
M=
[10 40]
[20 50]
[30 60]

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5
Q

The scalar multiplication is the product between a real number c and a matrix M; the result is

A

a matrix with the values in M multiplied by c.

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6
Q

Consider the following 2 × 3 matrix:
M =
[10 20 30]
[40 50 60]

then scalar multiplication 2M is the following

A

=
[20 40 60 ]
[80 100 120]

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7
Q

The addition between two matrices M and N is only defined if

A

M and N have the same number of rows and columns

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8
Q

Consider the following 2 × 3 matrices:
M =
[10 20 30]
[40 50 60]

N =
[0.1 0.2 0.3]
[0.4 0.5 0.6]

M + N =

A

M + N =
[10.1 20.2 30.3]
[40.4 50.5 60.6]

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9
Q

Since M is a 3 × 2 matrix, and N is a 2 × 4 matrix, we know that the product MN is going to be a

A

3 × 4 matrix

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10
Q

Matrix multiplication requires

A

the number of rows of one to match the number of columns of the other

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11
Q

During matrix multiplication to compute an entry at row i and column j you

A

multiply each value in row i
of M to the corresponding value on column j of N, and sum the results.

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