Are u, v, w Linearly Independent and a Spanning Set for R2?

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Homework Help Overview

The discussion revolves around the linear independence and spanning properties of the vectors u = (4, -2), v = (8, 5), and w = (4, 1) in R2. Participants explore whether the set {u, v, w} can span R2 and the linear independence of the vectors u, v, and w.

Discussion Character

  • Exploratory, Conceptual clarification, Mathematical reasoning

Approaches and Questions Raised

  • The original poster attempts to determine if the set of vectors spans R2 and whether they are linearly independent by setting up equations and using augmented matrices. Some participants question the clarity of definitions and statements regarding linear independence and spanning sets.

Discussion Status

Participants are actively engaging with the original poster's reasoning, providing feedback on the correctness of conclusions drawn in the analysis. There is a mix of agreement and clarification on the definitions and implications of linear independence and spanning sets.

Contextual Notes

Some participants note that no three vectors can be linearly independent in R2, which influences the discussion on the linear independence of the given vectors. There are also concerns about the clarity of the original poster's definitions and statements.

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Homework Statement

In R2 let

u = (4, -2), v = (8, 5), w = (4, 1).

a)Is the set {u, v, w} a spanning set for R2?
b) Are the vectors u, v linearly independent?
c) Are the vectors u, v, w linearly independent?

The Attempt at a Solution



a) u, v and w is a spanning set for the vector space R2 iff every vector in R2 can be expressed as a linear combination of the vectors in {u,v,w}. In other words, and if my definition is correct, if a vector space V spans set A of vectors, then the set A of vector is a spanning for the vector space V.

(x,y) = λ1(4,-2) + λ2(8,5) + λ3(4,1)
4λ1 + 8λ2 + 4λ3 = x
-2λ1 +5λ2 + λ3 = y

In augmented matrix:

4 8 4 | x
-2 5 1 | y

R2<- R2 +0.5R1

4 8 4 | x
0 9 3 | y + x/2

There is one free variable λ3-so, 1 parameter.
There are 2 pivots and, therefore, dimension, 2.
u, v, and, w are spanning sets for R2.b) u, v are linearly independent iff span {u,v} = 0 where λ1=λ2= 0.4 8 | 0
0 9 | 0

9λ2 = 0
λ2 = 0
4λ1 + 8(0) = 0
λ1 = 0

since λ1 = λ2 = 0, u and v are linearly independent.

c) (0,0) = λ1 ( 4,-2) + λ2 ( 8,5) + λ3 (4,1)

4 8 4 | 0
-2 5 1 | 0

...RREF

4 8 4 | 0
0 9 3 | 0

λ3 = free variables
The corollary from this is that there are infinite solutions. From this, it can be deduced that the solution is non-trivial, and therefore, u,v and w is not linearly independent. I'm making this conclusion based on the definition that for a system of linear equation to be linearly independent, it must be the case that the only solution is such that λ1=λ2=...=λn=0 but infinite solution implies that the solutions are either non-trivial or that a trivial solution is only one of the many infinite possible solutions. (PLEASE correct me if I am wrong)

The computer system states my answer to be correct. However, I would appreciate if my conclusion in part (c) is correct or a fluke.
 
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I didn't look closely at what you did, but there is a much simpler way to do this. Note that:

Two vectors are linearly dependent iff one is a multiple of the other

Any two linearly independent vectors will span R2

No three vectors can be linearly independent in R2.
 
PeroK said:
I didn't look closely at what you did, but there is a much simpler way to do this. Note that:

Two vectors are linearly dependent iff one is a multiple of the other

Any two linearly independent vectors will span R2

No three vectors can be linearly independent in R2.

Hi, I have reedited my entire OP.
 
negation said:

Homework Statement




In R2 let

u = (4, -2), v = (8, 5), w = (4, 1).

a)Is the set {u, v, w} a spanning set for R2?
b) Are the vectors u, v linearly independent?
c) Are the vectors u, v, w linearly independent?


The Attempt at a Solution



a) u, v and w is a spanning set for the vector space R2 iff every vector in R2 can be expressed as a linear combination of the vectors in {u,v,w}. In other words, and if my definition is correct,
Yes, your definition is correct.
if a vector space V spans set A of vectors, then the set A of vector is a spanning for the vector space V.

(x,y) = λ1(4,-2) + λ2(8,5) + λ3(4,1)
4λ1 + 8λ2 + 4λ3 = x
-2λ1 +5λ2 + λ3 = y

In augmented matrix:

4 8 4 | x
-2 5 1 | y

R2<- R2 +0.5R1

4 8 4 | x
0 9 3 | y + x/2

There is one free variable λ3-so, 1 parameter.
There are 2 pivots and, therefore, dimension, 2.
More fundamentally, if we multiply -2λ1+ 4λ2+ λ3= y by 2 and add it to 4λ1+ 8λ2+ 4λ3= x, we get 16λ2+ 6λ3= x+ 2y. Take λ2= 0 and we have 6λ3= x+ 2y so λ3= (x+ 2y)/6 and then -2λ1+ (x+ 2y)/6= y or λ1= (4y- x)/6. Since we can find λ1, λ2, λ3 for any x, y, yes, it spans R2.

u, v, and, w are spanning sets for R2.
u, v, and w are NOT sets. {u, v, w} is a spanning set for R2.


b) u, v are linearly independent iff span {u,v} = 0 where λ1=λ2= 0.
That is not well stated. The "span {u,v}" consists of all λ1u+ λ2v. That span is NOT "0".
You mean "if λ1u+ λ2v= 0 then λ1= λ2= 0"
4 8 | 0
0 9 | 0

9λ2 = 0
λ2 = 0
4λ1 + 8(0) = 0
λ1 = 0

since λ1 = λ2 = 0, u and v are linearly independent.
Yes, that is correct.

c) (0,0) = λ1 ( 4,-2) + λ2 ( 8,5) + λ3 (4,1)

4 8 4 | 0
-2 5 1 | 0

...RREF

4 8 4 | 0
0 9 3 | 0

λ3 = free variables
The corollary from this is that there are infinite solutions. From this, it can be deduced that the solution is non-trivial, and therefore, u,v and w is not linearly independent. I'm making this conclusion based on the definition that for a system of linear equation to be linearly independent, it must be the case that the only solution is such that λ1=λ2=...=λn=0 but infinite solution implies that the solutions are either non-trivial or that a trivial solution is only one of the many infinite possible solutions. (PLEASE correct me if I am wrong)

The computer system states my answer to be correct. However, I would appreciate if my conclusion in part (c) is correct or a fluke.
Your answer to (c) is completely correct. If λ1u+ λ2v+ λ3w= 0 then
λ1(4,-2)+ λ2(8, 5)+ λ3(4, 1)= (0, 0)
(4λ1+ 8λ2+ 3λ3, -2λ1+ 5λ2+ λ3)= (0, 0)
4λ1+ 8λ2+ 3λ3= 0, -2λ1+ 5λ2+ λ3= 0

Multiply the second equation by 2 and add to the first equation: 18λ2+ 5λ3= 0 so if you take λ1= 0, λ2= 5 and λ3= -18 you have non-zero coefficients that make the linear combination 0. The set of vectors is NOT independent.
 

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