Calculate Subspace Spanned by A in R^3 using Linear Combinations | Plane x = z

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In summary, by setting up a system of equations and showing that the subspace spanned by {(1,0,1), (0,1,0)} is contained in the plane given by x = z, it can be concluded that the plane is the subspace spanned by the given vectors. However, it is also necessary to show that the plane is contained in the subspace, which can be done by explicitly exhibiting the coefficients in the linear combination of (1,0,1) and (0,1,0) for any vector in the plane.
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so, if I want to calculate the subspace spanned by A in:

[tex]A = {(1,0,1) , (0,1,0)} in R^{3}[/tex]

[tex] c_{1}(1,0,1)+c_{2}(0,1,0) = (x,y,z)[/tex]

i can make a system:

[tex]c_{1} = x[/tex]

[tex]c_{2} = y[/tex]

[tex]c_{1} = z[/tex]

from which I can conclude that x = z, and so, the subspace spanned will be the plane given by x = z.

Is this right?
 
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  • #2
This is half a proof. You have shown that the subspace [tex]S[/tex] spanned by [tex]\{(1,0,1), (0,1,0)\}[/tex] is contained in the plane [tex]P = \{(x, y, z) \in \mathbb{R}^3 : x = z \}[/tex]. You also need to show that [tex]S[/tex] contains [tex]P[/tex]. You could do this by direct calculation, or by an argument based on dimension.
 
  • #3
i see. So how would you calculate it then?
 
  • #4
You showed that [tex]S \subset P[/tex] by showing that if [tex]v \in S[/tex], that is, [tex]v[/tex] is a linear combination of [tex](1,0,1)[/tex] and [tex](0,1,0)[/tex], then [tex]v \in P[/tex], that is, the first and third coordinates of [tex]v[/tex] are equal.

Show that [tex]S \supset P[/tex] by proving the reverse implication: if [tex]v \in P[/tex], that is, if the first and third coordinates of [tex]v[/tex] are equal, then [tex]v \in S[/tex], that is, [tex]v[/tex] is a linear combination of [tex](1,0,1)[/tex] and [tex](0,1,0)[/tex]. You should be able to exhibit explicitly the coefficients in this linear combination, using the components of [tex]v[/tex].
 
  • #5
got it, thanks!
 

FAQ: Calculate Subspace Spanned by A in R^3 using Linear Combinations | Plane x = z

How do you calculate the subspace spanned by A in R^3?

The subspace spanned by A in R^3 can be calculated by finding the linear combinations of the vectors in A. This will give you a set of vectors that span the subspace.

What is the significance of using linear combinations in this calculation?

Linear combinations allow us to express any vector in the subspace as a combination of the vectors in A. This is important because it helps us understand the structure of the subspace and how it is related to the vectors in A.

What does it mean to say "plane x = z" in this context?

In this context, "plane x = z" means that the subspace spanned by A lies in a plane where the x and z coordinates are equal. This helps us visualize the subspace and understand its relationship to the x and z axes.

Can this calculation be extended to higher dimensions?

Yes, this calculation can be extended to higher dimensions. In general, the subspace spanned by A can be calculated by finding the linear combinations of the vectors in A in a space with n dimensions, where n is the number of vectors in A.

How is this calculation used in real-world applications?

This calculation is commonly used in fields such as engineering, physics, and computer science to understand and analyze data in three-dimensional space. It can also be used in machine learning and data analysis to identify patterns and relationships in high-dimensional data sets.

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