How can I find the bases and generated subspace for a given set of vectors?

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To find the bases and generated subspace for the vectors (1,2,3), (4,5,6), and (7,8,9) in R3, one must set up a system of equations using these vectors. By applying Gaussian elimination, the resulting matrix reveals that the dimension of the subspace is 2, indicating that the vectors are linearly dependent. The homogeneous system A . x = 0 is crucial for determining the relationships between the variables. The final basis can be derived from specific choices of free variables, leading to multiple valid basis pairs. Understanding this process allows for the identification of the span and basis of the given vectors.
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Homework Statement


From the course of Linear Algebra and Analytic Geometry

I need to find the dimension and two different bases of subspace R3 generated by vectors (1,2,3), (4,5,6), (7,8,9).

Homework Equations


None.

The Attempt at a Solution


I tried

(a,b,c)=α1(1,2,3)+α2(4,5,6)+α3(7,8,9)

which became

a = α1 + 4α2 + 7α3
b = 2α1 + 5α2 + 8α3
c = 3α1 + 6α2 + 9α3

which (by Gaussian elimination) became an undetermined system with free variable α3.

4. The solution given by teacher
dim=2, example of bases={(1,0,-1),(0,1,2)} or {(2,1,0),(-1,0,1)}

I don't want the solution, I just want to understand the mechanics on how to find the bases and the generated subspace. If someone could explain it to me, thank you.
 
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The system of equations you show would be used to find the span of your three vectors. Instead of equations that start with a= , b=, and c=, put 0 in for all three of those variables. You should end up with a row of zeroes and two nonzero rows.

What did you end up with when you row-reduced your matrix?
 
So, I should have used the homogeneous system A . x = 0 ? Being A a matrix. Hmm...
I ended up with (after Gaussian elimination):

Code:
[ 1  4  7 | a      ]
[ 0 -3 -6 | b-2a   ]
[ 0  0  0 | c-a-2b ]
 
If I can backpedal a bit, your work is fine. For the system represented by your augmented matrix to be consistent, it must be that c - a - 2b = 0.

or
Code:
a = -2b + c
b =    b
c =          c

I added the 2nd and 3rd equations above so that I can get some vectors out of the equation c - a - 2b = 0. The equations I added are obviously true for all values of b and c, respectively.

Any vector [a b c]^T is a linear combination of [-2 1 0]^T and [1 0 1]^T. These come from setting b = 1, c = 0 and then b = 0, c = 1.

Different pairs of choices for b and c will give you different pairs of vectors for your basis.

Hope that helps.
 

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