Linear algebra help with general solutions

In summary: Once you have found the solutions, you can use the "inverse" operation on the augmented matrix to recover the original matrix.In summary, the system of linear equations Ax=b has two equations in three unknowns and can be solved using the row-reduction technique.
  • #1
amy21
4
0
. write the system of linear equ x1 +2x2 +2x4 = 3 (a) as AX=b
2x1 -3x3 +2x4 =6
x1 -x2 -x3 = 0

b find rank and nullity of matrix A

c find general solution of the system .Do the solution form a subspace in R4..indicate the particular solution of the inhomogeneous system and the general solution of the corresponding homogenous system

d give the bases for the row space, column space and null space of A



i have done parts a and b but i am lost on part c and d
can some one explain
 
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  • #2
For part (c), to find the general solution, i think you're being asked to find the nullspace, which consists of all the special solutions for Ax=0.
To find the particular solution, solve Ax=b; convert to row echelon form and express the pivot variables in terms of the free variables.
Now, for the part where it asks you "Do the solution form a subspace in R4?" -- I'm not so sure about this, as i think "4" should refer to the number of rows in the basis vector(s) of the nullspace.

For part (d), the bases refer to the set of linearly independent vectors. For the row space, just take the rows corresponding to the pivots, directly from the ref of the matrix A. For the column space, take the corresponding pivots columns from the original matrix A. And you can find the basis for the nullspace if you solved the general solution.
 
Last edited:
  • #3
So you have AX= b as
[tex]\begin{bmatrix}1 & 2 & 0 & 2 \\ 2 & 0 & -3 & 2 \\ 1 & -1 & -1 & 0\end{bmatrix}\begin{bmatrix}x_1 \\ x_2 \\ x_3 \\ x_4\end{bmatrix}= \begin{bmatrix}3 \\ 6 \\ 0 \end{bmatrix}[/tex]

If you subtract the second equation from the first you get -x1+ 2x2+ 3x3= -3 eliminating x4. That, together with the third equation, x1- x2- x3= 0, gives two equations in three unknowns. Adding those two equations, x2+ 2x3= -3 so that x2= -2x3- 3. Putting that into the previous equation, x1- (-2x3- 3)- x3= x1+x3+3= 0 so x1= -x3- 3. Finally, putting those into x1+ 2x2+ 2x4= (-x3- 3)+ 2(-2x3- 3)+ 2x4= -5x3- 9+ 2x4= 3, x4= -3+ (5/2)x3.

Any solution can be written in the form <x1, x2, x3, x4>= <-x3- 3, -2x3- 3, x3, -3+ (5/2)x3>= <3, -3, 1, -3>x3+ <-3, -3, 0, -5/8>. That should tell you everything you need.

It might be simpler to "row-reduce" the augmented matrix but you should never lose track of the basic concept- to solve the system of equations.
 

What is linear algebra?

Linear algebra is a branch of mathematics that deals with linear equations and their representations in vector spaces. It involves the study of systems of linear equations, matrices, determinants, and vector spaces.

What is a general solution in linear algebra?

A general solution in linear algebra refers to the complete set of all possible solutions to a system of linear equations. It is usually expressed in terms of free variables and can be used to find specific solutions for different sets of values assigned to the free variables.

What are the basic operations in linear algebra?

The basic operations in linear algebra include addition, subtraction, multiplication, and division of vectors and matrices. These operations are used to manipulate and solve systems of linear equations.

How is linear algebra used in real life?

Linear algebra has various applications in real life, such as in computer graphics, data analysis, engineering, and economics. It is used to solve problems involving large sets of linear equations, optimize systems, and make predictions based on data.

What are some common challenges in learning linear algebra?

Some common challenges in learning linear algebra include understanding abstract concepts, mastering the use of matrices and determinants, and applying linear algebra to real-world problems. It also requires strong algebraic skills and the ability to think geometrically.

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