Determining the null space of the matrix

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Determine the null space of the matrix:$$beginbmatrix 1 & -1 \ 2 & 3 \ 1 & 1 endbmatrix$$




My try:
$$beginbmatrix 1 & -1 \ 2 & 3 \ 1 & 1 endbmatrix_R_2rightarrow R_2-2R_1\R_3rightarrow R_3-R_1$$
$$beginbmatrix 1 & -1 \ 0 & 5 \ 0 & 2 endbmatrix_R_3rightarrow 5R_3-2R_2$$
$$beginbmatrix 1 & -1 \ 0 & 5 \ 0 & 0 endbmatrix_R_2rightarrow fracR_25$$
$$beginbmatrix 1 & -1 \ 0 & 1 \ 0 & 0 endbmatrix$$



From this I got $$x-y=0implies x=y\y=0$$
$$(x,y,z)^T=(y,0,z)^T=y(1,0,0)^T+z(0,0,1)^T$$
So, $(1,0,0)^T$ and $(0,0,1)^T$ is the null space. Is this correct?







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  • No, the matrix has rank $2$, so the null space is $0$. There is no $z$.
    – egreg
    Aug 9 at 20:59















up vote
1
down vote

favorite













Determine the null space of the matrix:$$beginbmatrix 1 & -1 \ 2 & 3 \ 1 & 1 endbmatrix$$




My try:
$$beginbmatrix 1 & -1 \ 2 & 3 \ 1 & 1 endbmatrix_R_2rightarrow R_2-2R_1\R_3rightarrow R_3-R_1$$
$$beginbmatrix 1 & -1 \ 0 & 5 \ 0 & 2 endbmatrix_R_3rightarrow 5R_3-2R_2$$
$$beginbmatrix 1 & -1 \ 0 & 5 \ 0 & 0 endbmatrix_R_2rightarrow fracR_25$$
$$beginbmatrix 1 & -1 \ 0 & 1 \ 0 & 0 endbmatrix$$



From this I got $$x-y=0implies x=y\y=0$$
$$(x,y,z)^T=(y,0,z)^T=y(1,0,0)^T+z(0,0,1)^T$$
So, $(1,0,0)^T$ and $(0,0,1)^T$ is the null space. Is this correct?







share|cite|improve this question




















  • No, the matrix has rank $2$, so the null space is $0$. There is no $z$.
    – egreg
    Aug 9 at 20:59













up vote
1
down vote

favorite









up vote
1
down vote

favorite












Determine the null space of the matrix:$$beginbmatrix 1 & -1 \ 2 & 3 \ 1 & 1 endbmatrix$$




My try:
$$beginbmatrix 1 & -1 \ 2 & 3 \ 1 & 1 endbmatrix_R_2rightarrow R_2-2R_1\R_3rightarrow R_3-R_1$$
$$beginbmatrix 1 & -1 \ 0 & 5 \ 0 & 2 endbmatrix_R_3rightarrow 5R_3-2R_2$$
$$beginbmatrix 1 & -1 \ 0 & 5 \ 0 & 0 endbmatrix_R_2rightarrow fracR_25$$
$$beginbmatrix 1 & -1 \ 0 & 1 \ 0 & 0 endbmatrix$$



From this I got $$x-y=0implies x=y\y=0$$
$$(x,y,z)^T=(y,0,z)^T=y(1,0,0)^T+z(0,0,1)^T$$
So, $(1,0,0)^T$ and $(0,0,1)^T$ is the null space. Is this correct?







share|cite|improve this question













Determine the null space of the matrix:$$beginbmatrix 1 & -1 \ 2 & 3 \ 1 & 1 endbmatrix$$




My try:
$$beginbmatrix 1 & -1 \ 2 & 3 \ 1 & 1 endbmatrix_R_2rightarrow R_2-2R_1\R_3rightarrow R_3-R_1$$
$$beginbmatrix 1 & -1 \ 0 & 5 \ 0 & 2 endbmatrix_R_3rightarrow 5R_3-2R_2$$
$$beginbmatrix 1 & -1 \ 0 & 5 \ 0 & 0 endbmatrix_R_2rightarrow fracR_25$$
$$beginbmatrix 1 & -1 \ 0 & 1 \ 0 & 0 endbmatrix$$



From this I got $$x-y=0implies x=y\y=0$$
$$(x,y,z)^T=(y,0,z)^T=y(1,0,0)^T+z(0,0,1)^T$$
So, $(1,0,0)^T$ and $(0,0,1)^T$ is the null space. Is this correct?









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share|cite|improve this question




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asked Aug 9 at 20:57









philip

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1289











  • No, the matrix has rank $2$, so the null space is $0$. There is no $z$.
    – egreg
    Aug 9 at 20:59

















  • No, the matrix has rank $2$, so the null space is $0$. There is no $z$.
    – egreg
    Aug 9 at 20:59
















No, the matrix has rank $2$, so the null space is $0$. There is no $z$.
– egreg
Aug 9 at 20:59





No, the matrix has rank $2$, so the null space is $0$. There is no $z$.
– egreg
Aug 9 at 20:59











3 Answers
3






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up vote
0
down vote



accepted










Recall that by definition the nullspace is the subspace of all vectors $vec x$ such that $Avec x=vec 0$ and in that case we have ony the trivial solution $(x_1,x_2)=(0,0)$ then $Null(A)=vec 0$.



Notably to solve $Ax=0$ we can proceed by RREF to obtain



$$beginbmatrix 1 & -1 \ 2 & 3 \ 1 & 1 endbmatrixto
beginbmatrix 1 & -1 \ 0 & 5 \ 0 & 2 endbmatrixto
beginbmatrix 1 & -1 \ 0 & 1 \ 0 & 0 endbmatrix$$



that is



$$beginbmatrix 1 & -1 \ 0 & 1 \ 0 & 0 endbmatrixbeginbmatrix x_1 \ x_2 endbmatrix=beginbmatrix 0 \ 0 endbmatrix$$



that is $x_1=x_2=0$.






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  • So, is my method to find the null space correct? I reduced it to row echelon form. After that what am I supposed to do.
    – philip
    Aug 9 at 21:04










  • @philip Yes your way is correct, we need to find the solutions for Ax=0 but your conclusion is wrong since $x$ has only 2 components.
    – gimusi
    Aug 9 at 21:07










  • @gimusi can you please show how to arrive to the solution using my method
    – philip
    Aug 9 at 21:10










  • @philip Yes ok I thought it was enought, I'm going to add some more detail!
    – gimusi
    Aug 9 at 21:11

















up vote
1
down vote













Your method is correct to find that $x=y$ and $y=0$. But you have made an incorrect conclusion after that stage and you have made a mistake in the dimension of your vectors.



Firstly, see that your matrix acts on vectors in $mathbbR^2$ to form vectors in $mathbbR^3$ like so:



$$left( beginmatrix 1 & -1 \ 2 & 3 \ 1 & 1 endmatrix right) left( beginmatrix x \ y endmatrix right)=left( beginmatrix x-y\ 2x+3y\ x+y endmatrix right)
$$



So you're searching for vectors $(x,y)^T$ in your null space.



If $x=y$ and $y=0$ then $x=y=0$, showing that your null space is just $(0,0)^T$






share|cite|improve this answer



























    up vote
    0
    down vote













    Right Nullspace
    If vector $alpha = [x,y]$ is in the right nullspace of A then
    $$beginbmatrix
    1 & -1 \
    2 & 3 \
    1 & 1 \
    endbmatrix[x,y]^T = beginbmatrix 0 \ 0 \ 0
    endbmatrix$$
    This gives
    $$x - y = 0$$
    $$2x + 3y = 0$$
    $$x + y = 0$$
    First and third equation tells us that $x = y = -x$, i.e. the only solution is $[0,0]$. So, the right nullspace has dimension zero



    Left Nullspace
    If vector $alpha = [x,y,z]$ is in the left nullspace of A then
    $$beginbmatrix
    x & y & z
    endbmatrix
    beginbmatrix
    1 & -1 \
    2 & 3 \
    1 & 1 \
    endbmatrix = beginbmatrix
    0 & 0
    endbmatrix$$
    So we get
    $$x + 2y + z = 0$$
    and
    $$-x + 3y + z = 0$$
    First equation tells us $$x = -(2y+z)$$
    and second one says
    $$x = 3y+z$$
    So by equating $x=x$, we get
    $$-2y-z = 3y+z$$
    that is
    $$5y = -2z$$
    or $$y = - frac25z$$. Plugging this back into one of the two x equations, we get
    $$x= 3y + z = 3(- frac25z) + z = frac-6+55z = -frac15z$$
    So, the Null space takes the form
    $$beginbmatrix
    -frac15 \
    - frac25 \
    1
    endbmatrix
    z$$






    share|cite|improve this answer






















    • That's the nullspace for $A^T$, that is the left nullspace.
      – gimusi
      Aug 9 at 21:18










    • Then, from this how can you conclude that Null space is $0$
      – philip
      Aug 9 at 21:20










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    3 Answers
    3






    active

    oldest

    votes








    3 Answers
    3






    active

    oldest

    votes









    active

    oldest

    votes






    active

    oldest

    votes








    up vote
    0
    down vote



    accepted










    Recall that by definition the nullspace is the subspace of all vectors $vec x$ such that $Avec x=vec 0$ and in that case we have ony the trivial solution $(x_1,x_2)=(0,0)$ then $Null(A)=vec 0$.



    Notably to solve $Ax=0$ we can proceed by RREF to obtain



    $$beginbmatrix 1 & -1 \ 2 & 3 \ 1 & 1 endbmatrixto
    beginbmatrix 1 & -1 \ 0 & 5 \ 0 & 2 endbmatrixto
    beginbmatrix 1 & -1 \ 0 & 1 \ 0 & 0 endbmatrix$$



    that is



    $$beginbmatrix 1 & -1 \ 0 & 1 \ 0 & 0 endbmatrixbeginbmatrix x_1 \ x_2 endbmatrix=beginbmatrix 0 \ 0 endbmatrix$$



    that is $x_1=x_2=0$.






    share|cite|improve this answer






















    • So, is my method to find the null space correct? I reduced it to row echelon form. After that what am I supposed to do.
      – philip
      Aug 9 at 21:04










    • @philip Yes your way is correct, we need to find the solutions for Ax=0 but your conclusion is wrong since $x$ has only 2 components.
      – gimusi
      Aug 9 at 21:07










    • @gimusi can you please show how to arrive to the solution using my method
      – philip
      Aug 9 at 21:10










    • @philip Yes ok I thought it was enought, I'm going to add some more detail!
      – gimusi
      Aug 9 at 21:11














    up vote
    0
    down vote



    accepted










    Recall that by definition the nullspace is the subspace of all vectors $vec x$ such that $Avec x=vec 0$ and in that case we have ony the trivial solution $(x_1,x_2)=(0,0)$ then $Null(A)=vec 0$.



    Notably to solve $Ax=0$ we can proceed by RREF to obtain



    $$beginbmatrix 1 & -1 \ 2 & 3 \ 1 & 1 endbmatrixto
    beginbmatrix 1 & -1 \ 0 & 5 \ 0 & 2 endbmatrixto
    beginbmatrix 1 & -1 \ 0 & 1 \ 0 & 0 endbmatrix$$



    that is



    $$beginbmatrix 1 & -1 \ 0 & 1 \ 0 & 0 endbmatrixbeginbmatrix x_1 \ x_2 endbmatrix=beginbmatrix 0 \ 0 endbmatrix$$



    that is $x_1=x_2=0$.






    share|cite|improve this answer






















    • So, is my method to find the null space correct? I reduced it to row echelon form. After that what am I supposed to do.
      – philip
      Aug 9 at 21:04










    • @philip Yes your way is correct, we need to find the solutions for Ax=0 but your conclusion is wrong since $x$ has only 2 components.
      – gimusi
      Aug 9 at 21:07










    • @gimusi can you please show how to arrive to the solution using my method
      – philip
      Aug 9 at 21:10










    • @philip Yes ok I thought it was enought, I'm going to add some more detail!
      – gimusi
      Aug 9 at 21:11












    up vote
    0
    down vote



    accepted







    up vote
    0
    down vote



    accepted






    Recall that by definition the nullspace is the subspace of all vectors $vec x$ such that $Avec x=vec 0$ and in that case we have ony the trivial solution $(x_1,x_2)=(0,0)$ then $Null(A)=vec 0$.



    Notably to solve $Ax=0$ we can proceed by RREF to obtain



    $$beginbmatrix 1 & -1 \ 2 & 3 \ 1 & 1 endbmatrixto
    beginbmatrix 1 & -1 \ 0 & 5 \ 0 & 2 endbmatrixto
    beginbmatrix 1 & -1 \ 0 & 1 \ 0 & 0 endbmatrix$$



    that is



    $$beginbmatrix 1 & -1 \ 0 & 1 \ 0 & 0 endbmatrixbeginbmatrix x_1 \ x_2 endbmatrix=beginbmatrix 0 \ 0 endbmatrix$$



    that is $x_1=x_2=0$.






    share|cite|improve this answer














    Recall that by definition the nullspace is the subspace of all vectors $vec x$ such that $Avec x=vec 0$ and in that case we have ony the trivial solution $(x_1,x_2)=(0,0)$ then $Null(A)=vec 0$.



    Notably to solve $Ax=0$ we can proceed by RREF to obtain



    $$beginbmatrix 1 & -1 \ 2 & 3 \ 1 & 1 endbmatrixto
    beginbmatrix 1 & -1 \ 0 & 5 \ 0 & 2 endbmatrixto
    beginbmatrix 1 & -1 \ 0 & 1 \ 0 & 0 endbmatrix$$



    that is



    $$beginbmatrix 1 & -1 \ 0 & 1 \ 0 & 0 endbmatrixbeginbmatrix x_1 \ x_2 endbmatrix=beginbmatrix 0 \ 0 endbmatrix$$



    that is $x_1=x_2=0$.







    share|cite|improve this answer














    share|cite|improve this answer



    share|cite|improve this answer








    edited Aug 9 at 21:15

























    answered Aug 9 at 21:01









    gimusi

    65.9k73684




    65.9k73684











    • So, is my method to find the null space correct? I reduced it to row echelon form. After that what am I supposed to do.
      – philip
      Aug 9 at 21:04










    • @philip Yes your way is correct, we need to find the solutions for Ax=0 but your conclusion is wrong since $x$ has only 2 components.
      – gimusi
      Aug 9 at 21:07










    • @gimusi can you please show how to arrive to the solution using my method
      – philip
      Aug 9 at 21:10










    • @philip Yes ok I thought it was enought, I'm going to add some more detail!
      – gimusi
      Aug 9 at 21:11
















    • So, is my method to find the null space correct? I reduced it to row echelon form. After that what am I supposed to do.
      – philip
      Aug 9 at 21:04










    • @philip Yes your way is correct, we need to find the solutions for Ax=0 but your conclusion is wrong since $x$ has only 2 components.
      – gimusi
      Aug 9 at 21:07










    • @gimusi can you please show how to arrive to the solution using my method
      – philip
      Aug 9 at 21:10










    • @philip Yes ok I thought it was enought, I'm going to add some more detail!
      – gimusi
      Aug 9 at 21:11















    So, is my method to find the null space correct? I reduced it to row echelon form. After that what am I supposed to do.
    – philip
    Aug 9 at 21:04




    So, is my method to find the null space correct? I reduced it to row echelon form. After that what am I supposed to do.
    – philip
    Aug 9 at 21:04












    @philip Yes your way is correct, we need to find the solutions for Ax=0 but your conclusion is wrong since $x$ has only 2 components.
    – gimusi
    Aug 9 at 21:07




    @philip Yes your way is correct, we need to find the solutions for Ax=0 but your conclusion is wrong since $x$ has only 2 components.
    – gimusi
    Aug 9 at 21:07












    @gimusi can you please show how to arrive to the solution using my method
    – philip
    Aug 9 at 21:10




    @gimusi can you please show how to arrive to the solution using my method
    – philip
    Aug 9 at 21:10












    @philip Yes ok I thought it was enought, I'm going to add some more detail!
    – gimusi
    Aug 9 at 21:11




    @philip Yes ok I thought it was enought, I'm going to add some more detail!
    – gimusi
    Aug 9 at 21:11










    up vote
    1
    down vote













    Your method is correct to find that $x=y$ and $y=0$. But you have made an incorrect conclusion after that stage and you have made a mistake in the dimension of your vectors.



    Firstly, see that your matrix acts on vectors in $mathbbR^2$ to form vectors in $mathbbR^3$ like so:



    $$left( beginmatrix 1 & -1 \ 2 & 3 \ 1 & 1 endmatrix right) left( beginmatrix x \ y endmatrix right)=left( beginmatrix x-y\ 2x+3y\ x+y endmatrix right)
    $$



    So you're searching for vectors $(x,y)^T$ in your null space.



    If $x=y$ and $y=0$ then $x=y=0$, showing that your null space is just $(0,0)^T$






    share|cite|improve this answer
























      up vote
      1
      down vote













      Your method is correct to find that $x=y$ and $y=0$. But you have made an incorrect conclusion after that stage and you have made a mistake in the dimension of your vectors.



      Firstly, see that your matrix acts on vectors in $mathbbR^2$ to form vectors in $mathbbR^3$ like so:



      $$left( beginmatrix 1 & -1 \ 2 & 3 \ 1 & 1 endmatrix right) left( beginmatrix x \ y endmatrix right)=left( beginmatrix x-y\ 2x+3y\ x+y endmatrix right)
      $$



      So you're searching for vectors $(x,y)^T$ in your null space.



      If $x=y$ and $y=0$ then $x=y=0$, showing that your null space is just $(0,0)^T$






      share|cite|improve this answer






















        up vote
        1
        down vote










        up vote
        1
        down vote









        Your method is correct to find that $x=y$ and $y=0$. But you have made an incorrect conclusion after that stage and you have made a mistake in the dimension of your vectors.



        Firstly, see that your matrix acts on vectors in $mathbbR^2$ to form vectors in $mathbbR^3$ like so:



        $$left( beginmatrix 1 & -1 \ 2 & 3 \ 1 & 1 endmatrix right) left( beginmatrix x \ y endmatrix right)=left( beginmatrix x-y\ 2x+3y\ x+y endmatrix right)
        $$



        So you're searching for vectors $(x,y)^T$ in your null space.



        If $x=y$ and $y=0$ then $x=y=0$, showing that your null space is just $(0,0)^T$






        share|cite|improve this answer












        Your method is correct to find that $x=y$ and $y=0$. But you have made an incorrect conclusion after that stage and you have made a mistake in the dimension of your vectors.



        Firstly, see that your matrix acts on vectors in $mathbbR^2$ to form vectors in $mathbbR^3$ like so:



        $$left( beginmatrix 1 & -1 \ 2 & 3 \ 1 & 1 endmatrix right) left( beginmatrix x \ y endmatrix right)=left( beginmatrix x-y\ 2x+3y\ x+y endmatrix right)
        $$



        So you're searching for vectors $(x,y)^T$ in your null space.



        If $x=y$ and $y=0$ then $x=y=0$, showing that your null space is just $(0,0)^T$







        share|cite|improve this answer












        share|cite|improve this answer



        share|cite|improve this answer










        answered Aug 9 at 21:17









        Malkin

        1,482523




        1,482523




















            up vote
            0
            down vote













            Right Nullspace
            If vector $alpha = [x,y]$ is in the right nullspace of A then
            $$beginbmatrix
            1 & -1 \
            2 & 3 \
            1 & 1 \
            endbmatrix[x,y]^T = beginbmatrix 0 \ 0 \ 0
            endbmatrix$$
            This gives
            $$x - y = 0$$
            $$2x + 3y = 0$$
            $$x + y = 0$$
            First and third equation tells us that $x = y = -x$, i.e. the only solution is $[0,0]$. So, the right nullspace has dimension zero



            Left Nullspace
            If vector $alpha = [x,y,z]$ is in the left nullspace of A then
            $$beginbmatrix
            x & y & z
            endbmatrix
            beginbmatrix
            1 & -1 \
            2 & 3 \
            1 & 1 \
            endbmatrix = beginbmatrix
            0 & 0
            endbmatrix$$
            So we get
            $$x + 2y + z = 0$$
            and
            $$-x + 3y + z = 0$$
            First equation tells us $$x = -(2y+z)$$
            and second one says
            $$x = 3y+z$$
            So by equating $x=x$, we get
            $$-2y-z = 3y+z$$
            that is
            $$5y = -2z$$
            or $$y = - frac25z$$. Plugging this back into one of the two x equations, we get
            $$x= 3y + z = 3(- frac25z) + z = frac-6+55z = -frac15z$$
            So, the Null space takes the form
            $$beginbmatrix
            -frac15 \
            - frac25 \
            1
            endbmatrix
            z$$






            share|cite|improve this answer






















            • That's the nullspace for $A^T$, that is the left nullspace.
              – gimusi
              Aug 9 at 21:18










            • Then, from this how can you conclude that Null space is $0$
              – philip
              Aug 9 at 21:20














            up vote
            0
            down vote













            Right Nullspace
            If vector $alpha = [x,y]$ is in the right nullspace of A then
            $$beginbmatrix
            1 & -1 \
            2 & 3 \
            1 & 1 \
            endbmatrix[x,y]^T = beginbmatrix 0 \ 0 \ 0
            endbmatrix$$
            This gives
            $$x - y = 0$$
            $$2x + 3y = 0$$
            $$x + y = 0$$
            First and third equation tells us that $x = y = -x$, i.e. the only solution is $[0,0]$. So, the right nullspace has dimension zero



            Left Nullspace
            If vector $alpha = [x,y,z]$ is in the left nullspace of A then
            $$beginbmatrix
            x & y & z
            endbmatrix
            beginbmatrix
            1 & -1 \
            2 & 3 \
            1 & 1 \
            endbmatrix = beginbmatrix
            0 & 0
            endbmatrix$$
            So we get
            $$x + 2y + z = 0$$
            and
            $$-x + 3y + z = 0$$
            First equation tells us $$x = -(2y+z)$$
            and second one says
            $$x = 3y+z$$
            So by equating $x=x$, we get
            $$-2y-z = 3y+z$$
            that is
            $$5y = -2z$$
            or $$y = - frac25z$$. Plugging this back into one of the two x equations, we get
            $$x= 3y + z = 3(- frac25z) + z = frac-6+55z = -frac15z$$
            So, the Null space takes the form
            $$beginbmatrix
            -frac15 \
            - frac25 \
            1
            endbmatrix
            z$$






            share|cite|improve this answer






















            • That's the nullspace for $A^T$, that is the left nullspace.
              – gimusi
              Aug 9 at 21:18










            • Then, from this how can you conclude that Null space is $0$
              – philip
              Aug 9 at 21:20












            up vote
            0
            down vote










            up vote
            0
            down vote









            Right Nullspace
            If vector $alpha = [x,y]$ is in the right nullspace of A then
            $$beginbmatrix
            1 & -1 \
            2 & 3 \
            1 & 1 \
            endbmatrix[x,y]^T = beginbmatrix 0 \ 0 \ 0
            endbmatrix$$
            This gives
            $$x - y = 0$$
            $$2x + 3y = 0$$
            $$x + y = 0$$
            First and third equation tells us that $x = y = -x$, i.e. the only solution is $[0,0]$. So, the right nullspace has dimension zero



            Left Nullspace
            If vector $alpha = [x,y,z]$ is in the left nullspace of A then
            $$beginbmatrix
            x & y & z
            endbmatrix
            beginbmatrix
            1 & -1 \
            2 & 3 \
            1 & 1 \
            endbmatrix = beginbmatrix
            0 & 0
            endbmatrix$$
            So we get
            $$x + 2y + z = 0$$
            and
            $$-x + 3y + z = 0$$
            First equation tells us $$x = -(2y+z)$$
            and second one says
            $$x = 3y+z$$
            So by equating $x=x$, we get
            $$-2y-z = 3y+z$$
            that is
            $$5y = -2z$$
            or $$y = - frac25z$$. Plugging this back into one of the two x equations, we get
            $$x= 3y + z = 3(- frac25z) + z = frac-6+55z = -frac15z$$
            So, the Null space takes the form
            $$beginbmatrix
            -frac15 \
            - frac25 \
            1
            endbmatrix
            z$$






            share|cite|improve this answer














            Right Nullspace
            If vector $alpha = [x,y]$ is in the right nullspace of A then
            $$beginbmatrix
            1 & -1 \
            2 & 3 \
            1 & 1 \
            endbmatrix[x,y]^T = beginbmatrix 0 \ 0 \ 0
            endbmatrix$$
            This gives
            $$x - y = 0$$
            $$2x + 3y = 0$$
            $$x + y = 0$$
            First and third equation tells us that $x = y = -x$, i.e. the only solution is $[0,0]$. So, the right nullspace has dimension zero



            Left Nullspace
            If vector $alpha = [x,y,z]$ is in the left nullspace of A then
            $$beginbmatrix
            x & y & z
            endbmatrix
            beginbmatrix
            1 & -1 \
            2 & 3 \
            1 & 1 \
            endbmatrix = beginbmatrix
            0 & 0
            endbmatrix$$
            So we get
            $$x + 2y + z = 0$$
            and
            $$-x + 3y + z = 0$$
            First equation tells us $$x = -(2y+z)$$
            and second one says
            $$x = 3y+z$$
            So by equating $x=x$, we get
            $$-2y-z = 3y+z$$
            that is
            $$5y = -2z$$
            or $$y = - frac25z$$. Plugging this back into one of the two x equations, we get
            $$x= 3y + z = 3(- frac25z) + z = frac-6+55z = -frac15z$$
            So, the Null space takes the form
            $$beginbmatrix
            -frac15 \
            - frac25 \
            1
            endbmatrix
            z$$







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            edited Aug 9 at 21:21

























            answered Aug 9 at 21:16









            Ahmad Bazzi

            2,9981418




            2,9981418











            • That's the nullspace for $A^T$, that is the left nullspace.
              – gimusi
              Aug 9 at 21:18










            • Then, from this how can you conclude that Null space is $0$
              – philip
              Aug 9 at 21:20
















            • That's the nullspace for $A^T$, that is the left nullspace.
              – gimusi
              Aug 9 at 21:18










            • Then, from this how can you conclude that Null space is $0$
              – philip
              Aug 9 at 21:20















            That's the nullspace for $A^T$, that is the left nullspace.
            – gimusi
            Aug 9 at 21:18




            That's the nullspace for $A^T$, that is the left nullspace.
            – gimusi
            Aug 9 at 21:18












            Then, from this how can you conclude that Null space is $0$
            – philip
            Aug 9 at 21:20




            Then, from this how can you conclude that Null space is $0$
            – philip
            Aug 9 at 21:20












             

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