Solving: Vector Subspaces Question in R3

In summary, a vector subspace in R3 is a subset of R3 that contains the zero vector and is closed under vector addition and scalar multiplication. To determine if a set of vectors is a subspace in R3, you can use the subspace test. The dimension of a vector subspace in R3 is the number of vectors in a basis for the subspace, and it cannot have more than three dimensions. Vector subspaces in R3 are used in various applications, such as computer graphics, physics, engineering, data analysis, and machine learning. They are helpful in representing physical quantities, solving systems of linear equations, and identifying patterns and relationships within data sets.
  • #1
markovchain
1
0
Could someone please help me with the following question with a guided step by step answer:

Show that T = (x, y, z) : -1 ≤ x + y + z ≤ 1
is not a vector subspace of R3

Thanks!
 
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  • #2
markovchain said:
Could someone please help me with the following question with a guided step by step answer:

Show that T = (x, y, z) : -1 ≤ x + y + z ≤ 1
is not a vector subspace of R3

Thanks!


$$(1,0,0)\in T\,\,\,but\,\,\,2(1,0,0)=(2,0,0)\notin T$$

Thus T cannot be v. subspace as it isn't closed under scalar multiplication

DonAntonio
 

1. What is a vector subspace in R3?

A vector subspace in R3 is a subset of R3 that contains the zero vector and is closed under vector addition and scalar multiplication. In other words, any combination of vectors within the subspace will also be in the subspace.

2. How do you determine if a set of vectors is a subspace in R3?

To determine if a set of vectors is a subspace in R3, you can use the subspace test. This involves checking if the set contains the zero vector, is closed under vector addition and scalar multiplication, and is contained within R3.

3. What is the dimension of a vector subspace in R3?

The dimension of a vector subspace in R3 is the number of vectors in a basis for the subspace. This is equivalent to the number of linearly independent vectors in the subspace.

4. Can a vector subspace in R3 have more than 3 dimensions?

No, a vector subspace in R3 is limited to three dimensions since R3 is a three-dimensional space. Any set of vectors with more than three dimensions would not be contained within R3.

5. How are vector subspaces in R3 used in applications?

Vector subspaces in R3 are used in various applications such as computer graphics, physics, and engineering. They can be used to represent physical quantities and to solve systems of linear equations. Additionally, they are useful in data analysis and machine learning, where they can help identify patterns and relationships within data sets.

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