Solve System of Equations: l, λ & x,y,z

In summary: For the second question, things are a little more complicated, but still pretty straightforward. For l \geq 0, you can use the first equation to get x in terms of y and z, and then substitute that expression in place of x in the second equation. That will leave you with one equation in the two unknowns y and z. You can solve that equation to get the value of l.For l \geq 1, you can use the same method as for l \geq 0, except that you substitute y in place of z in the first equation and z in place of y in the second equation. That will leave you with
  • #1
says
594
12

Homework Statement


find the solutions to the following system, depending on the value of the parameter l∈ℝ:
lx+y+z=1
x+ly+z=l
x+y+lz=l2

Find the value of λ∈ℝ for which the following system of linear equations has infinitely many solutions, for such value of λ write down all solutions:

x - 2z = 8
x - 3y + λz = 4
2x - λy + z = 12

Homework Equations

The Attempt at a Solution


I'm not really sure what the questions are asking. Am I supposed to put both of these into an augmented matrix, complete gauss row reduction then rearrange to find the value for l, λ and x,y,z in each question?
 
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  • #2
The system is exactly soluble if the system matrix is regular.
Find the value of ##\lambda## such that the determinant of the system matrix is zero, that means at least two rows of the system matrix are linearly dependent, which means you will have at least one free variable, which implies the number of solutions is infinite.
 
  • #3
I'm still a bit confused...
Not sure about the process I should use to complete this question
 
  • #4
This is for the ##\lambda ##-problem
Consider the system matrix
[tex]\left (\begin{array}{ccc}1 &0&-2\\1&-3&\lambda\\2&-\lambda &1\end{array}\right )[/tex]
For what value of ##\lambda## is the determinant of this matrix zero?

Please create separate topics for each assignment. Short of your post not being formated in TeX, which makes it difficult to follow, there are two problems to be considered.
 
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  • #5
Ahhhh, so a system of linear equations that has infinite solutions is linearly dependent, and a linearly dependent set of vectors has a determinant of 0!

I think that should make this easier to solve.
 
  • #6
Linear dependence is defined in a vectorspace. Equations, on the other hand, are not vectors. Essentially, what you are saying is right, but your wording is sloppy.
##n## ##n##-dimensional vectors (of the same vectorspace, naturally) can be written in matrix form and then it can be determined whether they are linearly (in)dependent.

Your arguments do not hold for general cases, be careful with that.
 
  • #7
Now I'm even more lost! I tried to calculate the determinant but I got 'i' hahaha
 
  • #8
How could you have been able to calculate the determinant? You don't know what ##\lambda ## is. The objective is to determine for which value of ##\lambda## the determinant of said matrix is zero. In other words, for which value of ##\lambda## the row vectors of the matrix are linearly dependent.
The polynomial needed to be solved is: ##\lambda ^2 +2\lambda -15 = 0## and it has roots in ##\mathbb{R}##, check your calculations.
 
  • #9
Determinant = 0 = 1 ((-3*1)-(λ*-λ) - 2((1*-λ)-(-3*2))

= λ2+2λ=-3
 
  • #10
Going by Sarrus rule:
##-3 + 0 +2\lambda -12 +\lambda ^2 + 0 = 0 ##

E: The rule of sarrus
 
  • #11
Sarrus rule?
 
  • #12
i forgot to multiply by 2
 
  • #13
−3+λ2+2λ-12=0
λ2+2λ = 15

lambda = 3!

not 3 factorial, just excited ;)
 
  • #14
3 is correct, but there is one more.

There are three kinds of systems of linear equations:
1) The ones that can be solved
2) The ones that can be solved exactly
3) The ones that have no solution

Your objective now is to verify that for either ##\lambda ## the system in question satisfies 1). It cannot satisfy 2), this is a result in linear algebra. Also try to think when the system would not be soluble.
 
  • #15
-5 is the other solution
\However, if we put -5 into the matrix, we no longer have a linearly dependent set.
 
  • #16
You just determined that for ##\lambda = -5## the determinant is 0, therefore the vectors Are linearly dependent. Question now is, when does a system conflict? (no solutions)
Consider as an example
##x+y=0##
##x+y=1##

Why does this system conflict?
 
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  • #17
says said:

Homework Statement


find the solutions to the following system, depending on the value of the parameter l∈ℝ:
lx+y+z=1
x+ly+z=l
x+y+lz=l2

Find the value of λ∈ℝ for which the following system of linear equations has infinitely many solutions, for such value of λ write down all solutions:

x - 2z = 8
x - 3y + λz = 4
2x - λy + z = 12

Homework Equations

The Attempt at a Solution


I'm not really sure what the questions are asking. Am I supposed to put both of these into an augmented matrix, complete gauss row reduction then rearrange to find the value for l, λ and x,y,z in each question?

For the first question, there are two "easy" cases: (1) ##l=0##; and (2) ##l = 1##. Write out the equations in detail in both of those cases, and you can essentially complete the solution by "inspection" almost.

That leaves the case ##l \neq 0,1##. In that case, I recommend you just avoid echelon forms (and even matrices) altogether and just go ahead and start solving the old-fashioned way. You can use the first equation to get z in terms of x and y, then substitute that expression in place of z in the next two equations. That will leave you with two equations in the two unknowns x and y, which you can tackle in the same way: solve for y (say) in terms of x from the second equation (say), then substitute that expression into the third equation, getting a single equation in terms of x alone. You can carry out these steps as long as you are never dividing by 0 at any stage, and that tells you something about ##l##.

You can deal with the second set of equations in the same way, and the "never divide by zero" rule will tell you something about ##\lambda##.
 
  • #18
says said:

The Attempt at a Solution


Am I supposed to put both of these into an augmented matrix, complete gauss row reduction then rearrange to find the value for l, λ and x,y,z in each question?

Yes, that is the usual procedure.
 

Related to Solve System of Equations: l, λ & x,y,z

1. What is a system of equations?

A system of equations is a set of two or more equations that contain multiple variables. The solution to a system of equations is the set of values that make all of the equations true simultaneously.

2. What is the purpose of solving a system of equations?

The purpose of solving a system of equations is to find the values of the variables that satisfy all of the equations in the system. This allows us to find the intersection point(s) of multiple linear equations or the common solution to multiple equations with multiple variables.

3. What are the different methods for solving a system of equations?

There are multiple methods for solving a system of equations, including substitution, elimination, and graphing. These methods involve manipulating the equations to eliminate one variable and solve for the remaining variables.

4. What is the role of variables in a system of equations?

Variables in a system of equations represent unknown values that we are trying to solve for. Each variable has its own equation, and the solution to the system is the set of values that make all of the equations true.

5. How do l, λ, x, y, and z relate to solving a system of equations?

In a system of equations, l and λ typically represent constants, while x, y, and z represent variables. These variables can be used to represent different quantities in the equations, and solving for their values allows us to find the solution to the system.

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