#Solve the system of linear equations
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If you are expected to solve the system, then I think you can directly proceed with Jordan-Gauss elimination
So assuming you did, and the picture on the right is the resulting matrix
first of all you can see the bottom row is completely irrelevant
but just in case you should check that the RHS is also not zero on that coordinate
the RHS?
as far as i know, this means that this either has no solution, or countless solutions?
you have a matrix equation in the form Ax = b
which you reformulated in the form A' x' = b'
with your new system
so you have to check if your system of equations is even compatible
because the last row is full of zeros on the LHS
but the last row of the RHS might not be zero, you need to check
This is correct
i am really new to this, i am not sure how i should check that
so you did a bunch of transformations on the LHS right?
you need to do the same transformations on the RHS
which is: $\begin{bmatrix} 1 \ 0 \ 1 \end{bmatrix}$
Miguel
𝐜𝐚𝐭𝐱𝐫𝐢𝐧𝐞
If so then the bottom row is completely irrelevant
So you'd be left with the following system:
\begin{align}
&x_1 &-x_2 &+x_3 &+2x_4 &= 1\\
& &3x_2 &-3x_3 &-5x_4 &= 0\\
& & & &0 &= 0
\end{align}
Miguel
See that line (3) is irrelevant
but the first two rows basically establish the dependencies between your variables
wait, i think i misunderstood you, you wanted me to apply the exact same transformations?
so to no one's surprise you'll have infinite solutions
What did you understand?
ah, i am sorry, give me a second
I'm not trying to chastise you for not understanding, I just want to know what you had in mind so we can be on the same page
i thought that i had to transform it using the gauss method as well, but not the same operations as the previous one
i actually tried to do this earlier, but i'll do it again just to be sure it is correct
Sure. Please upload all the steps here later so that we can check together
it's late here and i am just slow and tired, i apologize for this
sure thing
Alright, this is what I got
First step is good
Second step is good too
Yep that's good
I think now you can try to eliminate more variables
according to the algorithm, you should do R1 -> R1 + (2/5) R2
alternatively, do R1 <- 5 R1 first
then R1 <- R1 + 2 R2
this will help you keep integer coefficients everywhere
are there specific steps that i have to follow? Up to now i was just doing what i thought would be right and wont violate the rules
Well the Jordan-Gauss elimination is an algorithm
you have three valid operations, which are rescaling, add/substract or swap rows
and the algorithm tells you in which sequence to use them
i really need to revise the chapter better
this is the result after the operation:
yeah it's a bit hard to read isn't it
just multiply that first row by 5
also I think you did a mistake
the coefficient at row 1, column 2
I found it to be 1/5
should be, since the one next to it is the same but with a different sign
so it becomes:
Now based on that you can try to get a conclusion
x_4 depends on x_3 and x_2, and x_1 does too
but after that, there are infinite solutions
how should i format this answer?
Can you express x_4 in function of x_3 and x_2?
you can
check the second row
it basically tells you: $3 x_2 - 3x_3 - 5x_4 = -2$
Miguel
Write x_4 in function of the other two variables
Do the same with x_1
then you basically know what the solutions look like
Sorry for the wait
Well then now you know what the solutions are like
they're in the form (x1, x2, x3, x4) where x1 and x4 are like that
so this is the final answer?
no worries!
should i formulate it better in some way, or is what's written in the image given is enough?
So what you showed here is
If (x_1, x_2, x_3, x_4) is a solution of the system, then x_1 and x_4 are in the form above
Now you need the other way around
If x_1 and x_4 are in the above form, then (x_1, x_2, x_3, x_4) satisfies the system of equations
you need to prove that
all you have to do is just plug that into the system
actually wait
never mind, the Jordan-Gauss elimination gives you an equivalence already
For short, the algorithm guarantees now that $(x_1, x_2, x_3, x_4)$ satisfies the system of equations \textbf{if and only if}:
\begin{align*}
x_1 = \frac{1}{5} - \frac{1}{5} x_2 + \frac{1}{5} x_3\
x_4 = \frac{2}{5} + \frac{3}{5} x_2 - \frac{3}{5} x_3
\end{align*}
Miguel
now you can write the solution set
based on that information
It would be very nice if you could rewrite it as an affine subspace of R^4
i am not sure what this means :']
isn't this in the context of a linear algebra course?
i guess so? I am still not in college and i needed to go through the topic of matrices and what not for a couple of days
i have a lot of misses
I had assumed because this help thread is in the university section
my bad
Then yeah you're probably not expected to write anything else, other than x2 and x3 being free (so they can be whatever)
and x1 and x4 are bound to x2 and x3
i just know that those are tasks from college, that's why i posted it here
the tasks are for someone who is in fact in college, i am just the one trying to solve them
so i think they will need it
Later I would typically expect you to write the solution set as:
$$S = \frac{1}{5}\begin{bmatrix} 1 \\ 0 \\ 0 \\ 2 \end{bmatrix} + \mathrm{Span}\left(
\begin{bmatrix} - 1 \\ 5 \\ 0 \\ 3 \end{bmatrix}, \begin{bmatrix} 1 \\ 0 \\ 5 \\ -3 \end{bmatrix}
\right)$$
Miguel
so this is the form of the answer that is expected?
more like
after a linear algebra course, this is the kind of answer I would expect from you on a test
This is fine for the time being
what does the Span means?
oh
the span of a family of vectors is the set of all linear combinations you can form with these vectors
or equivalently, the smallest subspace that contains all those vectors
so for two vectors, span(v_1, v_2) = { a v_1 + b v_2, a and b are scalars}
all of this sounds very interesting, even though i am not aware of most of the stuff, if it wasn't for the deadlines i would've spend a good amount of time practicing
i really appreciate that you tried to explain everything, even tho i am clearly not very aware of the subject
I don't quite understand your circumstances so unfortunately I cannot help you better
it's okay! You really helped me a lot
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