What Value of 'a' Yields One, None, or Infinite Solutions?

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In summary: The system is not inconsistent if $a=2$. Thus, the system has infinite solutions for all $a\ne-1,2$ and no solution for $a=-1$. In summary, the system has:1. One solution for all $a\ne-1,2$.2. No solution for $a=-1$.3. Infinite solutions for $a=2$.
  • #1
TTaJTa4
2
0
(a-2)x+2y+3z=-1
y+z-w=0
2(1+a)z+(1+a)w=3

what a will give us:
1. One Solution
2. No solution at all.
3. Infinite Solutions

Thank you!
 
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  • #2
Hello and welcome to MHB! :D

Can you post what you have tried so far so our helpers can see where you are having difficulty and offer the best help?
 
  • #3
MarkFL said:
Hello and welcome to MHB! :D

Can you post what you have tried so far so our helpers can see where you are having difficulty and offer the best help?

I understand that if a=-1 than there is no solution. I tried to row the matrix but I couldn't finish it.
 
  • #4
The augmented matrix of this system:
\[
\left(\begin{array}{@{}{cccc}|c@{}}
a-2 & 2 & 3 & 0 & -1\\
0 & 1 & 1 & -1 & 0\\
0 & 0 & 2(1+a) & 1+a & 3
\end{array}\right)
\]
is already in row echelon form. You are correct that if $a=-1$, then the last equation becomes $0z+0w=3$, and it has no solutions. If $a\ne-1$, then we can solve that equation for $z$:
\[
z=\frac{3-(1+a)w}{2(1+a)}
\]
so every value of $w$ gives a unique value of $z$ that satisfies the last equation. From the second equation, given $w$ and $z$, we can find a unique $y$ that satisfies the second equation. Finally, if $a\ne2$, then given $w$, $z$ and $y$ we can find a unique $x$ that satisfies the first equation. All this happens for every value of $w$, so in this case there are infinitely many solutions.

What happens when $a=2$? Consider the system without $x$ (whose augmented matrix lacks the first column) and determine how many solutions it has. But the coefficient of $x$ is 0 in all equations, so $x$ can be arbitrary.
 
  • #5


The augmented matrix for this problem would be:

| a-2 2 3 -1 |
| 0 1 1 0 |
| 2(1+a) 0 1+a 3 |

To solve this matrix, we can use Gaussian elimination or other matrix solving methods. The value of "a" will determine the type of solution we will get.

1. If a is any real number, we will get one unique solution for x, y, and z. This is because all the variables are present in the first two equations, and the third equation is a multiple of the second equation, so it does not add any new information.

2. If a = 2, the third equation becomes 4z + 4w = 3, which is a contradiction to the second equation. This means that there is no solution that satisfies all three equations. This can also happen if the first two equations are inconsistent (e.g. if a = 0, the first equation becomes -2x + 2y + 3z = -1, and the second equation becomes y + z - w = 0, which has no solution).

3. If a = -1, the third equation becomes 0 = 3, which is also a contradiction to the second equation. However, in this case, the first two equations are consistent and the third equation is redundant. This means that there are infinitely many solutions that satisfy the first two equations, but the third equation does not add any new information.

In summary, the value of "a" can give us different types of solutions for this augmented matrix problem. It is important to carefully examine the equations and their relationships to determine the type of solution.
 

FAQ: What Value of 'a' Yields One, None, or Infinite Solutions?

1. How do I solve an augmented matrix problem?

To solve an augmented matrix problem, you need to use the Gaussian elimination method. This involves transforming the augmented matrix into reduced row-echelon form by performing row operations such as swapping rows, multiplying rows by a scalar, and adding multiples of one row to another. Once the augmented matrix is in reduced row-echelon form, the solution can be easily determined.

2. What are the steps for solving an augmented matrix problem?

The steps for solving an augmented matrix problem are:
1. Write the augmented matrix with the variables and constants.
2. Use Gaussian elimination to transform the augmented matrix into reduced row-echelon form.
3. Identify the pivot columns and pivot rows.
4. Write the system of equations based on the reduced row-echelon form.
5. Solve for the variables by back substitution.

3. Can I use a calculator to solve augmented matrix problems?

Yes, you can use a calculator to solve augmented matrix problems. Most scientific and graphing calculators have a function for performing Gaussian elimination and finding the reduced row-echelon form of a matrix. However, it is important to understand the steps involved in solving an augmented matrix problem manually before using a calculator.

4. Are there any shortcuts or tricks for solving augmented matrix problems?

There are no shortcuts or tricks for solving augmented matrix problems. The Gaussian elimination method is the most efficient and accurate way to solve these types of problems. It is important to follow the steps carefully and avoid mistakes in order to get the correct solution.

5. What is the purpose of solving augmented matrix problems?

The purpose of solving augmented matrix problems is to find the solution to a system of linear equations. This can be useful in various fields, such as engineering, physics, economics, and computer science. Augmented matrices are also used in solving systems of differential equations and in performing matrix operations.

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