Chapter 1 Flashcards

1
Q

Examples of fields?

A
  • real numbers
  • complex numbers
  • integers modulo n
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2
Q

What is a field?

A

A set with the operators addition and multiplication

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3
Q

What 5 axioms do operators of a field have to satisfy?

A

F1) Commutativity

F2) Associativity

F3) Distributivity

F4) Identities

F5) Inverses

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4
Q

What is the field of 2 numbers called?

A

Modulo 2

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5
Q

What would a vector in (F₂)³ look like?

A

(1̅, 0̅, 1̅)

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6
Q

What is a vector space?

A

A vector space V over a field F is a set with 2 operations: addition and multiplication by scalars

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7
Q

What 5 axioms do operators of a vector space have to satisfy?

A

V1) Closure

V2) Commutativity and associativity of addition

V3) Distributivity and compatibility of scalar multiplication

V4) 1v = v

V5) There is a unique element, call it 𝟎 ⋲ V, such that 0𝐯 = 𝟎

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8
Q

What is a subspace?

A

A subspace of V is a subset U which contains 𝟎 and is closed under addition and scalar multiplication

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9
Q

What do you need to do to show something is not a subspace?

A

Find a counter-example

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10
Q

What is a linear span?

A

A linear span of a finite set of vectors S = {v₁, v₂, …, vn} in a vector space V is the set of all linear combinations of the vectors. That is:

span(S) = {ɑ₁v₁ + … + ɑnvn : ɑ₁ … ⋲ F}

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11
Q

How would you prove span(S) is a subspace of V? where S = {v₁, v₂, …, vn} where vi ⋲ V∀i

A

Check that:

  1. Contains zero element
  2. Addition holds
  3. Scalar multiplication holds
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12
Q

What are the 3 different types of subspace of R²?

A
  • zero vector
  • lines through the origin ( = R¹)
  • planes through the origin ( = R²)
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13
Q

What is a spanning set?

A

S = {v₁, v₂, …, vn} is a spanning set of V if span(S) = V

we say that S spans V

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14
Q

What is span(2u) equal to?

A

span(u)

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15
Q

What is span(u₁, u₁ + u₂) equal to?

A

span(u₁, u₂)

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16
Q

What is span(u₁, u₂, u₂) equal to?

A

span(u₁, u₂)

17
Q

What is linear dependence?

A

A set of vectors {𝐯₁, 𝐯₂, …, 𝐯n} are linearly dependent if

ɑ₁𝐯₁ + ɑ₂𝐯₂ + … + ɑn𝐯n = 𝟎 for some non zero a_is

18
Q

What is a basis?

A

Let V be a vector space.

A finite set of vectors S = {𝐮₁, 𝐮₂, …, 𝐮n} is a basis of V if it spans V and is linearly independent

19
Q

What is equivalent to the statement ‘S = {𝐮₁, 𝐮₂, …, 𝐮n} is a basis of V’?

A

Every 𝐮 ⋲ V can be uniquely written as 𝐮 = ɑ₁𝐮₁ + ɑ₂𝐮₂ + … + ɑn𝐮n

20
Q

What is a bijection?

A

A 1-1 map

21
Q

What is the definition of dimension?

A

If V has a basis with n elements, then V has dimension n, dim(V) = n

22
Q

What is the Steinitz exchange lemma?

A

Let {𝐯₁, …, 𝐯n} span V, and {𝐮₁, …, 𝐮m} be a linearly independent subset of V. Then m < n and the set {𝐮₁, …, 𝐮m, 𝐯(m₊₁), …, 𝐯n} span V

(though you might have to reorder the 𝐯is)

23
Q

What method to prove Steinitz exchange lemma?

A

Proof by induction

24
Q

What is the relationship between the no. of elements in a LI set and the no. of elements in a spanning set?

A

No. of elements in LI set < spanning set

25
Q

Do any 2 bases of V have the same number of elements?

A

Yes

26
Q

If dimV = n, and you have n vectors in V, when will they form a basis for V?

A

If these span V or if they are linearly independent

27
Q

When are the definitions for span, linear independence and bases equivalent?

A

For finite-dimensional vector spaces

28
Q

W is a subset of V and dim(V) = n. What does this mean for dim(W)?

A
  • dim(W) <= dim(V)

* if dim(W) = dim(V) then W=V

29
Q

If matrix B can be obtained from matrix A by row operations, what implications does this have? (2 points)

A
  1. span of rows of A = spans of rows of B

2. rows of A are LD ⤄ rows of B are LD

30
Q

Does every spanning set of V contain a basis for V?

A

Yes

31
Q

Examples of commutativity? using a, b ⋲ F

A
  • a + b = b + a

* a • b = b • a

32
Q

Examples of associativity? using a, b, c ⋲ F

A
  • a + (b + c) = (a + b) + c

* a • (b • c) = (a • b) • c

33
Q

Example of distributivity? using a, b, c ⋲ F

A

a • (b + c) = a • b + a • c