Is This Set a Valid Subspace of R^4?

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Homework Help Overview

The discussion revolves around determining whether a specific set defined in R^4 is a valid subspace. The set is characterized by scalar multiples of the vector (2,0,1,-1) and the participants are examining the conditions required for subspace verification.

Discussion Character

  • Exploratory, Assumption checking, Mathematical reasoning

Approaches and Questions Raised

  • Participants discuss the three conditions necessary for a subspace: existence of the zero vector, closure under addition, and closure under scalar multiplication. There is confusion regarding the closure under addition and how to express the sum of two vectors in the set.

Discussion Status

Some participants are clarifying the addition of vectors and the implications of scalar multiplication. There is an ongoing exploration of the mathematical properties involved, particularly in how the vectors combine and what forms they take after addition.

Contextual Notes

Participants are working under the constraints of the subspace theorem and are referencing their notes for further understanding. There is an acknowledgment of prior confusion regarding vector addition and scalar multiplication.

NewtonianAlch
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Homework Statement


Show that the set:

S = {x [itex]\in[/itex] R[itex]^{4}[/itex]| x = [itex]\lambda[/itex](2,0,1,-1)[itex]^{T}[/itex] for some [itex]\lambda[/itex] [itex]\in[/itex] R

is a subspace of R[itex]^{4}[/itex]


The Attempt at a Solution



For the subspace theorem to hold, 3 conditions must be met:

1) The zero vector must exist
2) Closed under addition
3) Closed under scalar multiplication

1) If [itex]\lambda[/itex] = 0, the vector becomes (0,0,0,0)[itex]^{T}[/itex] - therefore that's the zero vector.

2) Closure under addition is what I'm a bit confused about.

If we define two new vectors, u and v and two scalars [itex]\alpha[/itex] and [itex]\beta[/itex] respectively.

u + v = ?

3) For closure under multiplication, isn't this obviously already closed? Heck it's being multiplied by a scalar quantity already.
 
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Well, if u=a*(2,0,1,-1)^T and v=b*(2,0,1,-1)^T can you show u+v has the form something*(2,0,1,-1)^T? What's the something? Sure 3) is kind of obvious, but you still have to say why.
 
The scalar would be (a + b)

So (a + b)*(2,0,1,-1)[itex]^{T}[/itex]

Shouldn't it be (a + b)*(4,0,2,-2)[itex]^{T}[/itex] though ? Because if we do u + v, the vectors would add as well as the scalars.
 
NewtonianAlch said:
The scalar would be (a + b)

So (a + b)*(2,0,1,-1)[itex]^{T}[/itex]

Shouldn't it be (a + b)*(4,0,2,-2)[itex]^{T}[/itex] though ? Because if we do u + v, the vectors would add as well as the scalars.

The vectors DO NOT add as well as the scalars. a*(2,0,1,-1)^T=(2a,0,a,-a)^T. b*(2,0,1,-1)^T=(2b,0,b,-b)^T. Add them. You don't get (a+b)*(4,0,2,-2)^T, do you? This is the distributive rule with the vector part constant.
 
Dang, just when I thought I was getting the hang of this stuff. No, it doesn't become (4,0,2,-2)[itex]^{T}[/itex]

It becomes (2a + 2b, 0, a+b, -a - b)[itex]^{T}[/itex]

So that would actually be (a + b)*(2,0,1,-1)[itex]^{T}[/itex] when you factor it out.

Interesting...I have to go over the notes again.

Thanks a lot for your help Dick.
 
NewtonianAlch said:
The scalar would be (a + b)

So (a + b)*(2,0,1,-1)[itex]^{T}[/itex]

Shouldn't it be (a + b)*(4,0,2,-2)[itex]^{T}[/itex] though ? Because if we do u + v, the vectors would add as well as the scalars.
No, that's not even true for numbers: av+ bv= (a+b)v whether v is a vector or a number.
 

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