Could you provide some examples of how to use the determinant in this problem?

In summary, the conversation discusses finding an equation that relates a, b, and c in a linear system to ensure consistency for any values of a, b, and c. The method to solve this problem is to put the system in reduced-echelon form or use the determinant to verify if the system is non-singular. The conversation also discusses using the determinant to determine if the system has no solution, a unique solution, or infinitely many solutions for different values of a. The determinant can also be used to understand the meaning and use of the system.
  • #1
hkus10
50
0
1) Find an equation relating a, b, and c so that the linear system
2x+2y+3z = a
3x- y+5z = b
x-3y+2z = c
is consistent for any values of a, b, and c that satisfy that equation.
what is the method to solve this problem?

2) In the following linear system, determine all values of a for which the resulting linear system has
a) no solution;
b) a unique solution;
c) infinitely many solutions:
x + y - z = 2
x + 2y + z = 3
x + y + (a^2 - 5)z = a

For these two questions:
Do I make this to be a reduced echelon form first?
If yes, how to make it with some variables a, b, and c?
If no, what is the right approach for this problem?

Thanks
 
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  • #2
hkus10 said:
1) Find an equation relating a, b, and c so that the linear system
2x+2y+3z = a
3x- y+5z = b
x-3y+2z = c
is consistent for any values of a, b, and c that satisfy that equation.
what is the method to solve this problem?

2) In the following linear system, determine all values of a for which the resulting linear system has
a) no solution;
b) a unique solution;
c) infinitely many solutions:
x + y - z = 2
x + 2y + z = 3
x + y + (a^2 - 5)z = a

For these two questions:
Do I make this to be a reduced echelon form first?
If yes, how to make it with some variables a, b, and c?
If no, what is the right approach for this problem?

Thanks

Hello hkus10

Putting the solution in reduced-echelon form is a good start since it can be understood from first principles.

If you wanted to do it this way, you basically form the augmented matrix and for each row operation you do on the system matrix, you do exactly the same thing in the augmented row matrix (ie [a b c]^T)

Another way is to use the determinant to verify if the system is non-singular. If a system is singular then there is no unique solution.

Are you aware of the determinant, its use and meaning?
 

FAQ: Could you provide some examples of how to use the determinant in this problem?

What is a linear system?

A linear system is a set of equations that can be represented graphically as a straight line. It consists of two or more linear equations with two or more variables that can be solved simultaneously to find the unique solution to the system.

What are the methods used to solve linear systems?

There are three main methods used to solve linear systems: substitution, elimination, and graphing. Substitution involves solving for one variable in one equation and plugging it into the other equation. Elimination involves adding or subtracting the equations to eliminate one variable and then solving for the remaining variable. Graphing involves graphing the equations and finding the point of intersection, which represents the solution.

How do you know if a linear system has a solution?

A linear system has a solution if the equations intersect at one point, which means that the two lines are not parallel and have a unique solution. If the equations are parallel, there is no solution because the lines will never intersect. If the equations are the same line, there are infinitely many solutions because every point on the line is a solution.

Can a linear system have more than one solution?

No, a linear system can only have one unique solution. If the equations intersect at more than one point, the system is inconsistent and has no solution. If the equations are the same line, there are infinitely many solutions because every point on the line is a solution.

What are the real-world applications of solving linear systems?

Solving linear systems is used in many fields, including engineering, physics, economics, and business. It can be used to model and solve real-world problems such as finding the optimal solution to a business decision, determining the break-even point for a company, or analyzing the forces acting on an object in motion.

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