LA Lecture 3 Flashcards

1
Q

How many components are there in R^n

A

n components

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2
Q

If 𝑣 and 𝑀 are in a vector space S, every combination ______ must be
in S.

A

cv + dw

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3
Q

One-point space Z consists of _______

A

x = 0

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4
Q

y = 3x is in R^___ space.

A

R^2

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5
Q

Column space of A contains _________.

A

all combinations of the columns of
A

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6
Q

Ax = b is solvable when _______.

A

b is in C(A)

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7
Q

Column space is a subspace of ________.

A

R^m

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8
Q

[4
πœ‹] is in ______ space.

A

R^2

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9
Q

(1, 1,0,1,1) is in _____ space.

A

R^5

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10
Q

[ 1+ i
1 - i ] is in _____ space.

A

C^2

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11
Q

What are the requirements for to satisfy to be subspace of a vector space.

A
  1. v + w is in subspace
  2. cv is in subspace
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12
Q

Does the subspace of vector include 0?

A

yes. th.e subspace of vector include 0

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13
Q

Null space is subspace of _________

A

R^n

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14
Q

Null space consists all combinations of special solution to _______.

A

Ax = 0

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15
Q

Row space is subspace of _____.

A

R^n

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16
Q

For an m by n matrix, the number of pivots variables plus the number of free variables is ______.

A

n
Counting Theorem: r + (n-r) = n

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17
Q

A square matrix has no free variables. (true/false)

A

False

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18
Q

An invertible matrix has no free variables.

A

True

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19
Q

An m by n matrix has no more than n pivot variables.

A

True

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20
Q

An m by n matrix has no more than m pivot variables.

A

True

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21
Q
A
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22
Q

What is the only solution to 𝐴π‘₯ = 0 if the columns of 𝐴 are independent?

A

π‘₯ = π‘œ

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23
Q

What is the nullspace of a matrix denoted as?

A

𝑍

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24
Q

What does it mean for vectors to be independent?

A

The only zero combination 𝑐1𝑣1 + β‹―+ π‘π‘˜π‘£π‘˜ = 0 has all 𝑐’𝑠 = 0.

25
Q

If a matrix has π‘š < 𝑛, what can be said about its columns?

A

The columns are dependent with at least 𝑛 βˆ’ π‘š free variables.

26
Q

When do the vectors 𝑣1,…,π‘£π‘˜ span a space S?

A

If S = all combinations of the v’s.

27
Q

What are the conditions for vectors 𝑣1,…,π‘£π‘˜ to be a basis for S?

A

They are independent and they span S.

28
Q

How is the dimension of a space S defined?

A

It is the number of vectors in every basis for S.

29
Q

If 𝐴 is a 4 by 4 invertible matrix, what can be said about its columns?

A

Its columns are a basis for 𝑅4.

30
Q

What is the dimension of 𝑅4?

31
Q

What is the definition of linear independence for the columns of A?

A

The only solution to 𝐴π‘₯ = 0 is π‘₯ = 0.

32
Q

If three vectors are not in the same plane, what can be said about their independence?

A

They are independent.

33
Q

If three vectors w1, w2, w3 are in the same plane, what can be said about their dependence?

A

They are dependent.

34
Q

What is the condition for the columns of A to be independent in terms of rank?

A

The rank is 𝒓 = 𝒏.

35
Q

What does it mean if there are n pivots in a matrix?

A

There are no free variables.

36
Q

What must be true if n vectors in π‘…π‘š are present?

A

They must be linearly dependent if 𝑛 > π‘š.

37
Q

What defines a set of vectors that spans a space?

A

Their linear combinations fill the space.

38
Q

What is the relationship between the columns of a matrix and its column space?

A

The columns span its column space.

39
Q

What is the definition of linear independence for a sequence of vectors 𝑣1, 𝑣2,…,𝑣𝑛?

A

The only combination that gives the zero vector is 0𝑣1 + 0𝑣2 + … + 0𝑣𝑛.

40
Q

What is the definition of the row space of a matrix?

A

The subspace of 𝑅𝑛 spanned by the rows.

41
Q

How is the row space of A represented?

A

It is 𝐢(𝐴^𝑇), the column space of 𝐴^𝑇.

42
Q

What are the two properties of a basis for a vector space?

A
  • The basis vectors are linearly independent
  • They span the space.
43
Q

How is the dimension of a vector space defined?

A

The number of vectors in every basis.

44
Q

What is the dimension of the whole n by n matrix space?

A

𝑛²

45
Q

What is the dimension of the vector space M containing all 2 by 2 matrices?

46
Q

If columns of matrix are dependent, so are the rows.
true/false

47
Q

The column space of 2 by 2 matrix is the same as its row space.
true/false

48
Q

The column space of 2 by 2 matrix has the same dimension as its row space.
true/false

49
Q

The columns of a matrix are a basis for column space.
true/false

50
Q

What is the dimension of the column space C(A) and the row space C(A^T)?

A

Both have dimension r (the rank of A).

51
Q

What is the dimension of the nullspace N(A)?

A

The dimension is n - r.

52
Q

What is the dimension of the left nullspace N(A^T)?

A

The dimension is m - r.

53
Q

What does elimination produce for the row space and nullspace of A?

A

It produces bases that are the same as for R.

54
Q

How does elimination affect the column space and left nullspace?

A

Elimination often changes them, but their dimensions don’t change.

55
Q

What is a rank one matrix and its column space basis?

A

A rank one matrix is A = uv^T; C(A) has basis u.

56
Q

What is the basis for C(A^T) in a rank one matrix?

A

C(A^T) has basis v.

57
Q

If m=n, then the row space of A equals the column space.
true/false

58
Q

The matrices A and βˆ’A share the same four subspaces.
true/false

59
Q

If A and B share the same four subspaces, then A is a multiple of B.
true/false