Linear algebra - Chapter 4

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28 Terms

1
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What three conditions must a subset satisfy to be a subspace?

1) Contains the zero vector, 2) Closed under addition, 3) Closed under scalar multiplication.

2
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What is the null space of a matrix A?

The set of all solutions to Ax = 0.

3
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How do you find the null space of a matrix?

solve Ax = 0, Row reduce A to RREF, express the solution set in parametric form.

4
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How do you calculate if a vector is in the Nulspace?

Multiple the vector by Matrix A, if the result is the zero vector it. is in the Nulspace

5
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What is the column space of A?

The set of all linear combinations of the columns of A.

6
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How do you determine if a vector b is in Col(A)?

Check if Ax = b is consistent.

7
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What does it mean for a transformation T to be one-to-one?

T(x) = 0 has only the trivial solution; Nulspace = {0}.

8
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What does it mean for T to be onto?

The range of T equals the codomain.

9
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What is a basis for a vector space?

A linearly independent set that spans the enite space.

10
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What two conditions define a basis?

1) The vectors are linearly independent, 2) They span the space.

11
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What is the dimension of a vector space?

The number of basis vectors.

12
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What is the dimension of the null space?

The number of free variables in the solution to Ax = 0.

13
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What is the dimension of the column space?

The dimension of the column space (number of pivot columns).

14
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What is the Rank Theorem?

rank(A) + nullity(A) = number of columns of A.

15
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What does the Rank Theorem imply about solutions to Ax = b?

If rank < number of columns, infinitely many solutions; if rank = number of columns, unique solution (if consistent).

16
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What is the basis theorem?

Every linearly independent set in an n-dimensional vector space contains at most n vectors; any spanning set must contain at least n.

17
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How do you convert x to its coordinate vector [x]ᴮ?

Form an augmented matric with the basis vectors and x; row reduced to idenity matrix, resulting x is the co-ordinates of X in terms of B.

18
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Are invertible matrixes singular or non-singular?

  • non-singular means it’s an invertible matrix

  • singular means non-invertible matrix

19
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What is the defining formaular for an invertible Matrix?

A dot A-1 = A-1 dot A = Identiy Matrix

20
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How do you calculate the inverse for a 2 by 2 matrix?

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How do you calculate the inverse for a 3 by 3 non-triangular matrix?

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22
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What does it mean for two vector spaces to be isomorphic?

They have the same structure and same dimension but different co-ordinates

23
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When is a tranformation isomorpshic

A tranformation is sisomorphic when it’s one-to-one, onto and linear

24
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How do you convert a coordinate vector [x]ᴮ back into the original vector x?

Multiply the basis matrix B by [x]ᴮ.

25
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What are 4 things to remember when manipulating linear equations:

  1. The identity matrix acts like the unit 1

  2. Never divide instead multiple a matrix by it’s inverse to move to the other side

  3. Multiply on the correct side

26
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What would be a basis for:

  1. A line through R³

  2. The entire R³ subspace

  1. (1 0 0) or (0 0 1) or (0 1 0)

  2. {(1 0 0), (0 0 1), (1 0 0)}

27
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What is a co-ordinate?

Coordinates are the unique scalar weights that specify how much of each basis vector is required to form a particular vector.

28
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What does it imply if two matrices are row equivalent?

  1. Their row spaces are the same

  2. If B is in echelon form. the non-zero rows of B form a basis for the row space of A