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

Click For Summary
Determining whether sets form subspaces in ℝ² can be confusing due to the requirements of closure under addition and scalar multiplication. For set (a), defined by the equation x1 + x2 = 0, it is confirmed as a subspace because it meets all criteria, including closure. In contrast, set (b), defined by x1 * x2 = 0, fails to be a subspace since it is not closed under addition; for instance, the sum of (1, 0) and (0, 1) is (1, 1), which does not satisfy the condition. The discussion highlights the importance of ensuring that all possible combinations of elements in a set maintain the defining property for it to qualify as a subspace. Understanding these principles clarifies the confusion surrounding the application of operations on variables versus constants.
kr0z3n
Messages
8
Reaction score
0

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
 
Last edited:
Physics news on Phys.org
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.
 
Question: A clock's minute hand has length 4 and its hour hand has length 3. What is the distance between the tips at the moment when it is increasing most rapidly?(Putnam Exam Question) Answer: Making assumption that both the hands moves at constant angular velocities, the answer is ## \sqrt{7} .## But don't you think this assumption is somewhat doubtful and wrong?

Similar threads

  • · Replies 23 ·
Replies
23
Views
2K
Replies
8
Views
2K
Replies
5
Views
2K
  • · Replies 15 ·
Replies
15
Views
2K
  • · Replies 9 ·
Replies
9
Views
2K
  • · Replies 3 ·
Replies
3
Views
2K
  • · Replies 7 ·
Replies
7
Views
2K
  • · Replies 15 ·
Replies
15
Views
2K
  • · Replies 1 ·
Replies
1
Views
2K
  • · Replies 5 ·
Replies
5
Views
2K