Basis for the homogeneous system

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SUMMARY

The discussion focuses on finding a basis for the solution space of the homogeneous system of linear equations represented by the matrix A. The matrix A is defined as \begin{bmatrix}1 & 2 & 3 & 4 & 5 & 6 \\ 6 & 6 & 6 & 4 & 3 & 3 \\ 1 & 2 & 3 & 4 & 5 & 6 \end{bmatrix}, and the solution vector X consists of variables x, y, z, u, v, w. The user is guided to reduce the system to two independent equations, allowing for the expression of two variables in terms of the remaining four. The final basis for the null space is constructed from four vectors derived from these variables.

PREREQUISITES
  • Understanding of linear algebra concepts, specifically homogeneous systems of equations.
  • Familiarity with matrix notation and operations.
  • Ability to perform row reduction and identify independent equations.
  • Knowledge of vector spaces and basis concepts in linear algebra.
NEXT STEPS
  • Learn about row reduction techniques for solving linear equations.
  • Study the concept of null space and its properties in linear algebra.
  • Explore the relationship between linear combinations and vector spaces.
  • Practice finding bases for various homogeneous systems using different matrices.
USEFUL FOR

Students and educators in mathematics, particularly those studying linear algebra, as well as anyone involved in solving systems of linear equations and understanding vector spaces.

thushanthan
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Homework Statement



Find a basis for the solution space of the homogeneous systems of linear equations AX=0

Homework Equations



Let A=1 2 3 4 5 6
6 6 5 4 3 3
1 2 3 4 5 6

and X= x
y
z
u
v
w

The Attempt at a Solution





I need some hints or suggestions to solve this. Please help.
 
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In Latex, your matrix problem is
[tex]\begin{bmatrix}1 & 2 & 3 & 4 & 5 & 6 \\ 6 & 6 & 6 & 4 & 3 & 3 \\ 1 & 2 & 3 & 4 & 5 & 6 \end{bmatrix}\begin{bmatrix} x \\ y \\ z \\ u \\ v \\ w\end{bmatrix}= \begin{bmatrix}0 \\ 0 \\ 0 \\ 0 \\ 0 \\ 0 \\ 0\end{bmatrix}[/tex]

That is the same as the three equations, x+ 2y+ 3z+ 4u+ 5v+ 6w= 0, 6x+ 6y+ 4z+ 4u+ 3v+ 3w= 0, and x+ 2y+ 3z+ 4u+ 5v+ 6w= 0.

Of course, the first and third are exactly the same so we only have two equations. We can solve those two equations for two of the variables in terms of the other 4. Replace those two in <x, y, z, u, v, w> with their (linear) expressions in the other 4.

For example, suppose the solution were u= 2x- 3y+ 4z- w, v= x+ y- 3z+ 4w (I just made those up. Solve the two equations yourself.)

Then we could write <x, y, z, u, v, w>= <x, y, z, 2x- 3y+ 4z- w, x+ y-3 z+ 4w, w>.

Now separate variables: <x, 0, 0, 2x, x, 0>+ <0, y, 0, -3y, y, 0>+ <0, 0, z, 4z, -3z, 0>+ <0, 0, 0, -w, 4w, w>.

Finally, take each variable out of its vector:
x<1, 0, 0, 2, 1, 0>+ y<0, 1, 0, -3, 1, 0>+ z<0, 0, 0, 1, 4, -3, 0>+ w<0, 0, 0, -1, 4, 1>.

Since any vector in the nullspace can be written as a linear combination of those 4 vectors, they form a basis for the null space.

(Again, that is NOT the solution to YOUR problem. You will have to solve those two equations for two of the variables your self.)
 
Thank you! Now I got it :smile:
 

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