What is the null space of an inconsistent matrix?
Do you mean "inconsistent matrix `system` " ?
yes
consistency is defined for system of eqns, not for matrices. how does it matter to null solution ?
you simply set your right hand side to 0 vector and solve the matrix equation ?
i did that. I got an inconsistent matrix system after I reduced it to row echelon form
can I determine a null space from an inconsistent system?
could you show your work ? maybe take a screenshot and attach if psble
so u got aome answer with respect to some variable t , sure u can assume t any number to get initial solution hmm idk if it called null or what lol but yes u can assume t=1 as an answer ( usually )
\[\large \left[\begin{array} ~1&i&-2\\3&4i&-5\\-1&-3t&i\end{array}\right] \left[\begin{array}~x_1\\x_2\\x_3\end{array}\right] = \left[\begin{array}~0\\0\\0\end{array}\right] \]
that is suppose to be a -3i? in the third row?
\[\large \left[\begin{array} ~1&i&-2\\3&4i&-5\\-1&-3i&i\end{array}\right] \left[\begin{array}~x_1\\x_2\\x_3\end{array}\right] = \left[\begin{array}~0\\0\\0\end{array}\right] \] correct ?
yes
First of all, notice that the system is always consisten cuz \(x_1=x_2=x_3=0\) always satisfies the system
A homogeneous system is never inconsistent, there always the trivial solution : \(x_i = 0\)
after row reducing do you get : \[\large \left[\begin{array} ~1&i&-2\\0&i&~1\\0&0&~i\end{array}\right] \left[\begin{array}~x_1\\x_2\\x_3\end{array}\right] = \left[\begin{array}~0\\0\\0\end{array}\right] \] ?
-3 instead of -2, 1 instead of i in the 2nd row, and 1/i in the second row
\[\left[\begin{matrix}1 & 0 & -3 \\ 0 & 1 & 1/i\\ 0 &0&i \end{matrix}\right]\]
Okay don't divide \(i\) in the second row as you don't know what values it can take.
it is not a variable. it is the complex number i
Oh oh oh.. so the rank is 3 here ?
that just means the nullspace just contains the 0 vector, right ?
I'm not sure. but I can't solve for any variables since \[i \neq 0\]
you want to solve \[\large \rm i x_3 = 0\] right ?
since \(\rm i\) is not 0, \(\rm x_3 \) has to be 0
no, the bottom row has to be \[\left[\begin{matrix}0 & 0 & 0\end{matrix}\right]\] to a system to solve.
to have a system to solve, but if there is a value in the bottom row, it is to be interpreted as \[i =0\]
so this is a inconsistent system by definition
I think you're talking about `augmented matrix` which is not we are dealing with here.
oh ok
Our goal here is to find all the possible combinations of columns that yield the 0 vector. There exists a trivial solution always since when you don't take any columns, you get a 0 vector.
\[\large \left[\begin{array} ~1&i&-2\\0&i&~1\\0&0&~i\end{array}\right] \left[\begin{array}~x_1\\x_2\\x_3\end{array}\right] = \left[\begin{array}~0\\0\\0\end{array}\right] \] gives you below system of equations : \[ \begin{array} &&&&ix_3&=&0\\ &&ix_2+&x_3&=&0\\ x_1&+&ix_2-&2x_3&=&0\\ \end{array} \]
alright
use wolfram to double check http://www.wolframalpha.com/input/?i=null+space+%7B%7B1%2C0%2C-3%7D%2C%7B0%2Ci%2C1%7D%2C%7B0%2C0%2Ci%7D%7D
okay. i appreciate the help
are you really sure, \(i\) is imaginary and not just a variable like \(t\) ?
it doesn't specify
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