What Values of ##\lambda## Allow Non-Trivial Solutions in This Linear System?

In summary, the problem is asking for which values of lambda (λ) will the given system of equations have non-trivial solutions. The system is represented by a matrix where each column sums to 2-λ. The first step in solving the problem is to put all the variables on one side and rewrite the system in matrix form. The next step is to consider two possibilities, λ=2 and λ≠2, and analyze how the matrix changes in each case. For the case where λ≠2, the first row is divided by 2-λ and the other rows are manipulated through elimination to reach a diagonal or reduced matrix. However, the process gets stuck at the end and it's unclear how to proceed further.
  • #1
nightingale123
25
2

Homework Statement


3.For which values of ##\lambda## does the following system of equations also have non trivial solutions

hggfhgfhfg.jpg


Homework Equations

The Attempt at a Solution


What I tried doing first is to put all variables on the same side and got
##
v+y-\lambda*x=0\\
x+z-\lambda*y=0\\
y+u-\lambda*z=0\\
z+v-\lambda*u=0\\
u+x-\lambda*v=0
##
and when I wrote the coefficient into the matrix i got
##
\begin{bmatrix}

-\lambda& 1 &0&0&1\\
1&-\lambda&1&0&0\\
0&1&-\lambda&1&0\\
0&0&1&-\lambda&1\\
1&0&0&1&-\lambda\\
\end{bmatrix}
##

here I noticed that all the columns sum to the same number ##2-\lambda## there I summed everything into the first row and got
##
\begin{bmatrix}

2-\lambda & 2-\lambda&2-\lambda&2-\lambda&2-\lambda\\
1&-\lambda&1&0&0\\
0&1&-\lambda&1&0\\
0&0&1&-\lambda&1\\
1&0&0&1&-\lambda\\
\end{bmatrix}
##
here I looked into 2 different possibilities if a) ##\lambda=2## and b) ##\lambda\neq2##.
However a) is pretty simple and it's mostly b) that I'm having trouble with.
Here I thought if ##\lambda\neq2## then I can divide the first row by ##2-\lambda##
When I did this my matrix looked like this
##
\begin{bmatrix}

1 & 1&1&1&1\\
1&-\lambda&1&0&0\\
0&1&-\lambda&1&0\\
0&0&1&-\lambda&1\\
1&0&0&1&-\lambda\\
\end{bmatrix}
##
Then I subtracted the first row from the second and last one and got
##
\begin{bmatrix}
1 & 1&1&1&1\\
0&-\lambda-1&0&-1&-1\\
0&1&-\lambda&1&0\\
0&0&1&-\lambda&1\\
0&-1&-1&0&-\lambda-1\\
\end{bmatrix}
##
then I just rearranged some rows so that it would be easier for me to read
##
\begin{bmatrix}
1 & 1&1&1&1\\
0&1&-\lambda&1&0\\
0&-1&-1&0&-\lambda-1\\
0&-\lambda-1&0&-1&-1\\
0&0&1&-\lambda&1\\
\end{bmatrix}
##
then I added the second row to the third and forth one and switched the third and forth row
##
\begin{bmatrix}
1 & 1&1&1&1\\
0&1&-\lambda&1&0\\
0&-\lambda&-\lambda&0&-1\\
0&0&-1-\lambda&1&-\lambda-1\\
0&0&1&-\lambda&1\\
\end{bmatrix}
##
Lastly I added the last row to the forth one and switched them
##
\begin{bmatrix}
1 & 1&1&1&1\\
0&1&-\lambda&1&0\\
0&-\lambda&-\lambda&0&-1\\
0&0&1&-\lambda&1\\
0&0&-\lambda&1-\lambda&-\lambda\\

\end{bmatrix}
##
Here is where I get stuck. I don't know how to continue from here on out. Maybe I made a mistake somewhere in my addition however I went through it at least a few times and I was not able to find it:
Any help / tips are greatly appreciated
Thanks
 

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  • #2
nightingale123 said:

Homework Statement


3.For which values of ##\lambda## does the following system of equations also have non trivial solutions

View attachment 195591

Homework Equations

The Attempt at a Solution


What I tried doing first is to put all variables on the same side and got
##
v+y-\lambda*x=0\\
x+z-\lambda*y=0\\
y+u-\lambda*z=0\\
z+v-\lambda*u=0\\
u+x-\lambda*v=0
##
and when I wrote the coefficient into the matrix i got
##
\begin{bmatrix}

-\lambda& 1 &0&0&1\\
1&-\lambda&1&0&0\\
0&1&-\lambda&1&0\\
0&0&1&-\lambda&1\\
1&0&0&1&-\lambda\\
\end{bmatrix}
##

here I noticed that all the columns sum to the same number ##2-\lambda## there I summed everything into the first row and got
##
\begin{bmatrix}

2-\lambda & 2-\lambda&2-\lambda&2-\lambda&2-\lambda\\
1&-\lambda&1&0&0\\
0&1&-\lambda&1&0\\
0&0&1&-\lambda&1\\
1&0&0&1&-\lambda\\
\end{bmatrix}
##
here I looked into 2 different possibilities if a) ##\lambda=2## and b) ##\lambda\neq2##.
However a) is pretty simple and it's mostly b) that I'm having trouble with.
Here I thought if ##\lambda\neq2## then I can divide the first row by ##2-\lambda##
When I did this my matrix looked like this
##
\begin{bmatrix}

1 & 1&1&1&1\\
1&-\lambda&1&0&0\\
0&1&-\lambda&1&0\\
0&0&1&-\lambda&1\\
1&0&0&1&-\lambda\\
\end{bmatrix}
##
Then I subtracted the first row from the second and last one and got
##
\begin{bmatrix}
1 & 1&1&1&1\\
0&-\lambda-1&0&-1&-1\\
0&1&-\lambda&1&0\\
0&0&1&-\lambda&1\\
0&-1&-1&0&-\lambda-1\\
\end{bmatrix}
##
then I just rearranged some rows so that it would be easier for me to read
After your first step (when all the entries in row 1 were 1), you used the first entry in row 1 to eliminate all the entries below it. Continue this process by using the 2nd entry in row 2 (the pivot) to eliminate all entries above and below it. Continue this process until you have a diagonal matrix or until the matrix is as reduced as possible.
nightingale123 said:
##
\begin{bmatrix}
1 & 1&1&1&1\\
0&1&-\lambda&1&0\\
0&-1&-1&0&-\lambda-1\\
0&-\lambda-1&0&-1&-1\\
0&0&1&-\lambda&1\\
\end{bmatrix}
##
then I added the second row to the third and forth one and switched the third and forth row
##
\begin{bmatrix}
1 & 1&1&1&1\\
0&1&-\lambda&1&0\\
0&-\lambda&-\lambda&0&-1\\
0&0&-1-\lambda&1&-\lambda-1\\
0&0&1&-\lambda&1\\
\end{bmatrix}
##
Lastly I added the last row to the forth one and switched them
##
\begin{bmatrix}
1 & 1&1&1&1\\
0&1&-\lambda&1&0\\
0&-\lambda&-\lambda&0&-1\\
0&0&1&-\lambda&1\\
0&0&-\lambda&1-\lambda&-\lambda\\

\end{bmatrix}
##
Here is where I get stuck. I don't know how to continue from here on out. Maybe I made a mistake somewhere in my addition however I went through it at least a few times and I was not able to find it:
Any help / tips are greatly appreciated
Thanks
 
  • Like
Likes nightingale123
  • #3
Thank you for the reply.
I though about doing that however does that mean that I have to multiply some rows with ##\lambda## to get the other ones to cancel out ?
If so do I also need to check what happens when ##\lambda=0## ?
 
  • #4
nightingale123 said:
Thank you for the reply.
I though about doing that however does that mean that I have to multiply some rows with ##\lambda## to get the other ones to cancel out ?
If so do I also need to check what happens when ##\lambda=0## ?
Yes to the first question. For the second, you could go back to your first matrix and replace ##\lambda## with 0, and see what you get from that.
 

FAQ: What Values of ##\lambda## Allow Non-Trivial Solutions in This Linear System?

What is a system of linear equations?

A system of linear equations is a set of two or more equations that contain two or more variables. The goal of solving a system of linear equations is to find the values of the variables that satisfy all of the equations in the system.

How do you solve a system of linear equations?

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

What is the difference between consistent and inconsistent systems of linear equations?

A consistent system of linear equations has at least one solution that satisfies all of the equations, while an inconsistent system has no solution. This means that the equations in an inconsistent system are contradictory and cannot be solved simultaneously.

Can a system of linear equations have more than one solution?

Yes, a system of linear equations can have infinitely many solutions. This occurs when the equations are equivalent, meaning they represent the same line on a graph. In this case, any point on the line is a solution to the system.

How are systems of linear equations used in real life?

Systems of linear equations are used in many real-life situations, such as calculating the cost of a purchase with discounts and taxes, determining the optimal mix of ingredients in a recipe, and predicting the growth of a population over time. They are also commonly used in science and engineering to model and solve complex systems.

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