Basis vectors and ortho solution spaces

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Homework Help Overview

The discussion revolves around finding a basis for the solution space of two homogeneous equations: 3x + 2y + z - u = 0 and 2x + y + z + 5u = 0. Participants explore the relationship between the solution vectors and the row vectors of the coefficient matrix, questioning how these vectors can serve as a basis for the solution space.

Discussion Character

  • Conceptual clarification, Mathematical reasoning, Problem interpretation

Approaches and Questions Raised

  • Participants discuss different methods for deriving basis vectors, including row reduction of the coefficient matrix and linear combinations of the row vectors. There is also confusion regarding the relationship between the solution space and the orthogonal space.

Discussion Status

Multiple interpretations of the basis vectors are being explored, with some participants providing different basis vectors and justifying their approaches through row reduction. There is an ongoing clarification of concepts related to orthogonality and the nature of the solution space.

Contextual Notes

Participants note the potential confusion between the solution space and the orthogonal space, as well as the implications of linear combinations of the row vectors. The discussion reflects the constraints of the problem setup and the need for careful interpretation of the equations involved.

EWW
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Hello,

I've got two homogenous equations: 3x + 2y + z - u = 0 and 2x + y + z +5u = 0. I'm trying to find a basis for these solutions. The solution vector x [x, y, z, u] is a solution if and only if it is orthogonal to the row vectors, in this case a and b ([3, 2, 1, -1], [2, 1, 1, 5)]. My understanding is that these row vectors span the space orthogonal to x, and they thus can be used as a basis. The answer given by the text I'm using gives for a basis these two vectors [1, -1, -1, 0] and [0, 6, -11, 1]. How were these basis vectors derived? I tried doing a linear combination of a and b to get the textbook answer but I couldn't get that to work. Help!

EWW
 
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I get a different basis, namely [-1, 1, 1, 0] and [-11, 17, 0, 1], but your vectors also are a basis for the solution space defined by the two equations.

How did I get mine? I row reduced the 2 X 4 matrix whose rows were the coefficients of x, y, z, and u.

I ended up with
[1 0 1 11]
[0 1 -1 -17]

Call the reduced matrix A. Then A [x y z u]^T = 0
From this you get [x y z u]^T = z[-1 1 1 0]^T + u[-11 17 0 1]^T

The solution space is the 2-D subspace of R^4 spanned by/made up of linear combinations of the vectors you show or the vectors I show. The solution space is a hyperplane in R^4. Any two vectors that aren't parallel and that lie in this hyperplane would make a basis.

Mark
 
EWW said:
My understanding is that these row vectors span the space orthogonal to x, and they thus can be used as a basis.

Hello EWW! :smile:

You're getting confused …

they can't be used as a basis for a space they are orthogonal to. :wink:
 
As tiny-tim said, you are confusing the "solution space" and the space orthogonal to the solutions space. Any linear combination of a and b will be orthogonal to the solution space, not in the solution space.

EWW here's how I would do the problem: The solution space consists of vectors <x, y, z, u> satisfying 3x + 2y + z - u = 0 and 2x + y + z +5u = 0. Subtract the second equation from the first to eliminate z: x+ y- 6u= 0 so x= -y+ 6u. Put that back into the first equation: 3(-y+ 6u)+ 2y+ z- u= -y+ 17u+ z= 0 so z= y- 17u. Take y= 1, u= 0. Then x= -1 and z= 1. <-1, 1, 0, 1> is in the solution set. Take y= 0, u= 1. Then x= 6 and z= -17. <6, 0, -17, 1> is also in the solution set and the two vectors form a basis.

If, instead, I had solved the equation x+ y- 6u= 0 for y, y= -x+ 6u, and put that back into the first equation I would have got z= -x-11u so that I have y and z in terms of x and u. Taking x= 1, u= 0 gives <1, -1, -1, 0> and taking x= 0, u= 1 gives <0, 6, -11, 1> the solution in your textbook.

If you were to solve for x and y in terms of z and u, then take z=1, u=0 and z=0, u= 1, you would get Mark44's solution.
 

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