Math Questions

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HW4.pdf

Math 2568 Autumn 2020

Homework 4

For each of the following sets of vectors S,

• Find a minimal spanning set T for the subspace W = Span(S) from the set of vectors in S (T ⊆ S).

• For each vector vi ∈ S omitted from T , write it explicitly as a linear combination of the vectors in T .

Problem 1 S = {v1, v2, v3, v4, v5, v6} where

v1 =

 

2 3 −1 4 6

  , v2 =

 

9 −4 −11

7 5

  , v3 =

  −30 25 −47 −16 −2

  , v4 =

 

0 −5 7 11 17

  , v5 =

 

2 0 6 11 −7

  , v6 =

 

35 −6 11 −50 −34

  ,

Problem 2 S = {v1, v2, v3, v4} where

v1 =

 10

1

  , v2 =

 −20

2

  , v3 =

 11

2

  , v4 =

 −23

1

  ,

Problem 3 S = {v1, v2, v3, v4, v5} where

v1 =

 

2 3 −1 9 5

  , v2 =

 

6 4 5 −3 7

  , v3 =

  −2 2 −7 21 3

  , v4 =

 

18 17 7 21 29

  , v5 =

 

9 6 3 −2 1

  ,

Problem 4 S = {v1, v2, v3, v4} where

v1 =

 

1 2 −1 3

  , v2 =

  −2 1 2 −1

  , v3 =

  −1 −1 1 −3

  , v4 =

  −2 2 2 0

  ,

For each of the following matrices, find a minimal spanning set for its

• Column space

• Row space

• Nullspace

Problem 5 A =

 

2 3 0 1 0 7 2 1 13 16 3 −5 −3 8 22 −1 8 −1 −11 −18

 

Problem 6 A =

 

1 2 1 0 2 5 3 −1 2 2 0 2 0 1 1 −1

 

Problem 7 A =

  4 6 10 7 211 4 15 6 1

3 −9 −6 5 10

 

Problem 8 A =

  −1 0 5 −14 0 −12 3 2 4 −11 16 12 7 0 −5 8 22 46 −5 −5 7 −26 −13 −32 0 7 11 −19 −11 −40

 

For the remaining two problems, you are to determine of if the given statement is true or false, and provide a short justification for your answer (for example, an argument showing it is true, or a counter-example if it is false).

Problem 9 If S and T are two sets of vectors in Rn and every vector in T can be expressed as a linear combination of vectors in S, then every vector in S can be expressed as a linear combination of vectors in T .

Problem 10 If A is a real n × n matrix satisfying the matrix equation A ∗ A = 0n×n, then the column space of A is a subspace of the nullspace of A.