Why is it confusing to determine whether sets form subspaces in ℝ2?

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Homework Help Overview

The discussion revolves around determining whether specific sets in ℝ² qualify as subspaces. The sets in question are defined by linear and nonlinear conditions: one set is defined by a linear equation (x₁ + x₂ = 0), while the other is defined by a product condition (x₁ * x₂ = 0).

Discussion Character

  • Conceptual clarification, Assumption checking

Approaches and Questions Raised

  • Participants explore the criteria for subspaces, including closure under addition and scalar multiplication. There are attempts to validate the conditions for both sets, with some questioning the implications of specific examples and the definitions involved.

Discussion Status

There is an ongoing exploration of the definitions and properties that determine subspaces. Some participants express confusion about the application of operations on variables versus constants, while others clarify that closure must hold for all elements in the set, not just specific examples.

Contextual Notes

Participants note the importance of the identity element and the necessity for closure under addition and scalar multiplication in the context of subspaces. There is also mention of the need for clarity regarding the definitions of the sets involved.

kr0z3n
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Homework Statement



Determine whether the following sets form subspaces of ℝ2:
(a) {(x1, x2)T | x1 + x2 = 0}

(b) {(x1, x2)T | x1 * x2 = 0}

Homework Equations



The Attempt at a Solution


I know that a is a subspace and b is not, but I would like to know why.
For part A, I let x=[c, -c]T
∂[c,-c]= [∂c, -∂c]
[c, -c] + [ ∂, -∂] = [c+∂, -c-∂]
Thus S is closed under scalar multiplication and addition.
But what if I let x=[1, -1]? Wouldn't that break the conditions since
∂[1,-1]=[∂,-∂] and [1,-1] + [1, -1]= [2,-2]?

And for part B the book states "No, this is not a subspace. Every element of S has at
least one component equal to 0. The set is closed under scalar multiplication, but
not under addition. For example, both (1, 0)T and (0,1)T are elements of S, but their sum is not."

But can't I let [x1 and x2] be the zero vectors and S would be a subspace?

I am confused about how sometimes I can multiply or add using variables and other times I have to use constants. Can someone please explain to me. Thanks
 
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kr0z3n said:

Homework Statement



Determine whether the following sets form subspaces of ℝ2:
(a) {(x1, x2)T | x1 + x2 = 0}

(b) {(x1, x2)T | x1 * x2 = 0}

Homework Equations



The Attempt at a Solution


I know that a is a subspace and b is not, but I would like to know why.
For part A, I let x=[c, -c]T
∂[c,-c]= [∂c, -∂c]
[c, -c] + [ ∂, -∂] = [c+∂, -c-∂]
Thus S is closed under scalar multiplication and addition.
But what if I let x=[1, -1]? Wouldn't that break the conditions since
∂[1,-1]=[∂,-∂] and [1,-1] + [1, -1]= [2,-2]?

well, x1=2, x2=-2, so x1+x2=0, so it's still a member of the subspace.
 
In order for a set to form a subspace, it must meet the three criteria. It must contain the identity, and be closed under addition and scalar multiplication.

Closure under an operation means that when the operation is performed on any two elements from a set, it will produce another element from the set.

For example, for any two real numbers a and b, a + b is still a real number. Thus a + b is still in the set of real numbers. Hence, the real numbers are closed under addition.

The key fact is that the operation must produce an element from the set for any two elements. Every possible combination of elements must produce another element in the set when the operation is applied on them. So if you can find two real numbers that, when added together, produce a complex number, then you would have proven that the real numbers are not closed under addition.

For part B you want to take any two vectors from R2, such that both vectors are in the set, but their sum is not. In order for a vector to be an element of set B, it needs to have components x1, x2 such that x1*x2=0.

Your answer sheet gives you two elements that fit the definition of set B, but when you add them together, the resulting vector has components that do not fit the definition. Hence the result of addition on the set B is not contained in B. So the set B is not closed under addition.

So your thought to let x1 and x2 be zero is insufficient to show closure, since closure demands the operation holds for every element of the set.
 
kr0z3n said:
And for part B the book states "No, this is not a subspace. Every element of S has at
least one component equal to 0. The set is closed under scalar multiplication, but
not under addition. For example, both (1, 0)T and (0,1)T are elements of S, but their sum is not."

But can't I let [x1 and x2] be the zero vectors and S would be a subspace?
It is not sufficient that there exist vectors of the set whose sum is in the set, it must be true that the sum of any two vectors in the set is in the set.

I am confused about how sometimes I can multiply or add using variables and other times I have to use constants. Can someone please explain to me. Thanks
I have no idea what you mean by this. What "variables" or "constants"? Could you give an example?
 
After reading all the comments, I understand it now! Thanks to all who replied!
 


I have read through these posts and still don't seem to understand how to determine whether the following sets form subspaces of ℝ^{2} :
(a) {(x_{1} , x_{2} )^{T} | x_{1} + x_{2} = 0}
(b) {(x_{1} , x_{2} )^{T} | x_{1}x_{2} = 0}

I do understand that the set must remain closed under addition an scalar multiplication. However I don't understand how to show this.
 

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