Determine whether the following subsets are subspaces

In summary, the given problem involves proving that two sets, H and T, are closed under certain operations. H is a set of vectors in R^3 where the sum of their components equals zero, and T is a set of 2x2 matrices that are equal to their transpose. To solve these problems, one must show that the zero vector/matrix is in the set, and that the set is closed under both vector addition and scalar multiplication.
  • #1
physicsNYC
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Homework Statement



H = {(x,y,z) [tex]\in[/tex] R^3 | x + y^2 + z = 0} [tex]\subseteq[/tex] R^3

T = {A [tex]\in[/tex] M2,2 | AT = A} [tex]\subseteq[/tex] M2,2


The Attempt at a Solution



Our lecturer wasn't quite clear about how to go about this.

He talked out closed under addition and multiplication but that's about it.

Help would be greatly appreciated
 
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  • #2
physicsNYC said:

Homework Statement



H = {(x,y,z) [tex]\in[/tex] R^3 | x + y^2 + z = 0} [tex]\subseteq[/tex] R^3

T = {A [tex]\in[/tex] M2,2 | AT = A} [tex]\subseteq[/tex] M2,2


The Attempt at a Solution



Our lecturer wasn't quite clear about how to go about this.

He talked out closed under addition and multiplication but that's about it.

Help would be greatly appreciated
This is pretty basic stuff in linear algebra, so I'm surprised that your lecturer wasn't sure how to do this. What he said, though, is pretty much what you need to do.

For your first problem, here's what you need to do:
  1. Show that the zero vector is in H.
  2. Show that if h1 and h2 are any two vectors in set H, then h1 + h2 is also in H. (Closure under vector addition)
  3. Show that if h1 is a vector in H and c is any real number, then c*h1 is in H. (Closure under scalar multiplication) Note that the first step can be accomplished by using c = 0.

For your second problem use matrices instead of vectors, but the steps are essentially the same.
 

FAQ: Determine whether the following subsets are subspaces

What is a subspace?

A subspace is a subset of a vector space that satisfies the three properties of closure under addition, closure under scalar multiplication, and contains the zero vector. In simpler terms, a subspace is a smaller set that behaves like the larger vector space it is a part of.

What are the three properties that a subset must have to be considered a subspace?

The three properties that a subset must have to be considered a subspace are closure under addition, closure under scalar multiplication, and contains the zero vector. This means that any two vectors in the subset, when added together, must also be in the subset. Additionally, any vector in the subset multiplied by a scalar must also be in the subset. And finally, the subset must contain the zero vector, which is the vector with all components equal to zero.

How can I determine if a subset is a subspace?

To determine if a subset is a subspace, you must check if it satisfies the three properties of closure under addition, closure under scalar multiplication, and contains the zero vector. If all three properties are met, then the subset is a subspace. However, if even one of the properties is not satisfied, then the subset is not a subspace.

What is closure under addition?

Closure under addition is one of the three properties that a subset must have to be considered a subspace. It means that when any two vectors in the subset are added together, the resulting vector must also be in the subset. In other words, the subset is closed under the operation of addition.

What is closure under scalar multiplication?

Closure under scalar multiplication is another property that a subset must have to be considered a subspace. It means that when any vector in the subset is multiplied by a scalar, the resulting vector must also be in the subset. In simpler terms, the subset is closed under the operation of scalar multiplication.

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