Determining the dimension of the kernel and the dimension of the image of the linear map $T:mathbbR^3rightarrowmathbbR^4$

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Determine the dimension of the kernel and the dimension of the image of the linear map $T:mathbbR^3rightarrowmathbbR^4$ given by:
$$T(x,y,z)^T=(x-y+z,x+2y-z,2x+y,3y-2z)^T$$




My try:
$$xbeginbmatrix 1 \ 1 \ 2 \ 0 endbmatrix+ybeginbmatrix -1 \ 2 \ 1 \ 3 endbmatrix+zbeginbmatrix 1 \ -1 \ 0 \ -2 endbmatrix\beginbmatrix 1 & -1 & 1 \ 1 & 2 & -1 \ 2 & 1 & 0 \ 0 & 3 & -2 endbmatrix$$ I don't know how to proceed further. Can anyone please help me to solve this?







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  • Do you know how to reduce the matrix?
    – Dionel Jaime
    Aug 2 at 3:07














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Determine the dimension of the kernel and the dimension of the image of the linear map $T:mathbbR^3rightarrowmathbbR^4$ given by:
$$T(x,y,z)^T=(x-y+z,x+2y-z,2x+y,3y-2z)^T$$




My try:
$$xbeginbmatrix 1 \ 1 \ 2 \ 0 endbmatrix+ybeginbmatrix -1 \ 2 \ 1 \ 3 endbmatrix+zbeginbmatrix 1 \ -1 \ 0 \ -2 endbmatrix\beginbmatrix 1 & -1 & 1 \ 1 & 2 & -1 \ 2 & 1 & 0 \ 0 & 3 & -2 endbmatrix$$ I don't know how to proceed further. Can anyone please help me to solve this?







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  • Do you know how to reduce the matrix?
    – Dionel Jaime
    Aug 2 at 3:07












up vote
-1
down vote

favorite









up vote
-1
down vote

favorite












Determine the dimension of the kernel and the dimension of the image of the linear map $T:mathbbR^3rightarrowmathbbR^4$ given by:
$$T(x,y,z)^T=(x-y+z,x+2y-z,2x+y,3y-2z)^T$$




My try:
$$xbeginbmatrix 1 \ 1 \ 2 \ 0 endbmatrix+ybeginbmatrix -1 \ 2 \ 1 \ 3 endbmatrix+zbeginbmatrix 1 \ -1 \ 0 \ -2 endbmatrix\beginbmatrix 1 & -1 & 1 \ 1 & 2 & -1 \ 2 & 1 & 0 \ 0 & 3 & -2 endbmatrix$$ I don't know how to proceed further. Can anyone please help me to solve this?







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Determine the dimension of the kernel and the dimension of the image of the linear map $T:mathbbR^3rightarrowmathbbR^4$ given by:
$$T(x,y,z)^T=(x-y+z,x+2y-z,2x+y,3y-2z)^T$$




My try:
$$xbeginbmatrix 1 \ 1 \ 2 \ 0 endbmatrix+ybeginbmatrix -1 \ 2 \ 1 \ 3 endbmatrix+zbeginbmatrix 1 \ -1 \ 0 \ -2 endbmatrix\beginbmatrix 1 & -1 & 1 \ 1 & 2 & -1 \ 2 & 1 & 0 \ 0 & 3 & -2 endbmatrix$$ I don't know how to proceed further. Can anyone please help me to solve this?









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asked Aug 2 at 2:57









philip

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  • Do you know how to reduce the matrix?
    – Dionel Jaime
    Aug 2 at 3:07
















  • Do you know how to reduce the matrix?
    – Dionel Jaime
    Aug 2 at 3:07















Do you know how to reduce the matrix?
– Dionel Jaime
Aug 2 at 3:07




Do you know how to reduce the matrix?
– Dionel Jaime
Aug 2 at 3:07










1 Answer
1






active

oldest

votes

















up vote
4
down vote



accepted










Remember what you're trying to solve here. The expression



$$xbeginbmatrix 1 \ 1 \ 2 \ 0 endbmatrix+ybeginbmatrix -1 \ 2 \ 1 \ 3 endbmatrix+zbeginbmatrix 1 \ -1 \ 0 \ -2 endbmatrix$$



is a vector in $mathbbR^4$. You have to ask yourself, what does it have to do with the question? What are you trying to find out here? What does the kernel even mean?



The kernel is the set of vectors in $mathbbR^3$ that map to the zero vector in $mathbbR^4$ under $T$. Our map $T$ does the following:



$$Tbeginbmatrixx \ y \ z endbmatrix=beginbmatrixx−y+z \x+2y−z \2x+y \3y−2zendbmatrix = xbeginbmatrix 1 \ 1 \ 2 \ 0 endbmatrix+ybeginbmatrix -1 \ 2 \ 1 \ 3 endbmatrix+zbeginbmatrix 1 \ -1 \ 0 \ -2 endbmatrix$$



When does it send the vector to $0$? When $x, y, z$ satisfy



$$beginbmatrixx−y+z \x+2y−z \2x+y \3y−2zendbmatrix = beginbmatrix 0 \ 0 \ 0 \ 0 endbmatrix.$$



Equating entries yields the system of equations,



beginalign*
x - y + z &= 0 \ x + 2y - z &= 0 \ 2x + y &= 0 \ 3y - 2z &= 0.
endalign*



Now it's a matter of solving this system, which we can do with an augmented matrix:



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



Or, if you're comfortable, you can omit the $0$ column. If you're comfortable, you can skip some of these steps and go straight to the matrix.



But, as is my point, only if you're comfortable! If you don't know/understand this stuff, then you can get lost along the shortcuts!



From here, Gauss-Jordan elimination gives:



$$beginbmatrix1 & 0 & frac13 & 0 \ 0 & 1 & -frac23 & 0 \ 0 & 0 & 0 & 0 \ 0 & 0 & 0 & 0endbmatrix,$$



which translates to



beginalign*
x + fracz3 &= 0 \
y - frac2z3 &= 0.
endalign*



If we let $z = 3t$, for $t in mathbbR$, then $x = -t$ and $y = 2t$. This gives us a solution of



$$beginbmatrix x \ y \ z endbmatrix = beginbmatrix -t \ 2t \ 3t endbmatrix = tbeginbmatrix -1 \ 2 \ 3 endbmatrix$$



as $t$ ranges over $mathbbR$. This means our kernel is



$$operatornameKer(T) = operatornamespan beginbmatrix -1 \ 2 \ 3 endbmatrix.$$



It is the span of a single non-zero (hence, linearly independent) vector, hence the kernel is of dimension $1$ (i.e. $operatornamenull T = 1$). Using the rank-nullity theorem,
$$3 = operatornamedim mathbbR^3 = operatornamerank T + operatornamenull T = operatornamerank T + 1$$
which implies $operatornamerank T = 2$, which is the dimension of the image.






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    1 Answer
    1






    active

    oldest

    votes








    1 Answer
    1






    active

    oldest

    votes









    active

    oldest

    votes






    active

    oldest

    votes








    up vote
    4
    down vote



    accepted










    Remember what you're trying to solve here. The expression



    $$xbeginbmatrix 1 \ 1 \ 2 \ 0 endbmatrix+ybeginbmatrix -1 \ 2 \ 1 \ 3 endbmatrix+zbeginbmatrix 1 \ -1 \ 0 \ -2 endbmatrix$$



    is a vector in $mathbbR^4$. You have to ask yourself, what does it have to do with the question? What are you trying to find out here? What does the kernel even mean?



    The kernel is the set of vectors in $mathbbR^3$ that map to the zero vector in $mathbbR^4$ under $T$. Our map $T$ does the following:



    $$Tbeginbmatrixx \ y \ z endbmatrix=beginbmatrixx−y+z \x+2y−z \2x+y \3y−2zendbmatrix = xbeginbmatrix 1 \ 1 \ 2 \ 0 endbmatrix+ybeginbmatrix -1 \ 2 \ 1 \ 3 endbmatrix+zbeginbmatrix 1 \ -1 \ 0 \ -2 endbmatrix$$



    When does it send the vector to $0$? When $x, y, z$ satisfy



    $$beginbmatrixx−y+z \x+2y−z \2x+y \3y−2zendbmatrix = beginbmatrix 0 \ 0 \ 0 \ 0 endbmatrix.$$



    Equating entries yields the system of equations,



    beginalign*
    x - y + z &= 0 \ x + 2y - z &= 0 \ 2x + y &= 0 \ 3y - 2z &= 0.
    endalign*



    Now it's a matter of solving this system, which we can do with an augmented matrix:



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



    Or, if you're comfortable, you can omit the $0$ column. If you're comfortable, you can skip some of these steps and go straight to the matrix.



    But, as is my point, only if you're comfortable! If you don't know/understand this stuff, then you can get lost along the shortcuts!



    From here, Gauss-Jordan elimination gives:



    $$beginbmatrix1 & 0 & frac13 & 0 \ 0 & 1 & -frac23 & 0 \ 0 & 0 & 0 & 0 \ 0 & 0 & 0 & 0endbmatrix,$$



    which translates to



    beginalign*
    x + fracz3 &= 0 \
    y - frac2z3 &= 0.
    endalign*



    If we let $z = 3t$, for $t in mathbbR$, then $x = -t$ and $y = 2t$. This gives us a solution of



    $$beginbmatrix x \ y \ z endbmatrix = beginbmatrix -t \ 2t \ 3t endbmatrix = tbeginbmatrix -1 \ 2 \ 3 endbmatrix$$



    as $t$ ranges over $mathbbR$. This means our kernel is



    $$operatornameKer(T) = operatornamespan beginbmatrix -1 \ 2 \ 3 endbmatrix.$$



    It is the span of a single non-zero (hence, linearly independent) vector, hence the kernel is of dimension $1$ (i.e. $operatornamenull T = 1$). Using the rank-nullity theorem,
    $$3 = operatornamedim mathbbR^3 = operatornamerank T + operatornamenull T = operatornamerank T + 1$$
    which implies $operatornamerank T = 2$, which is the dimension of the image.






    share|cite|improve this answer

























      up vote
      4
      down vote



      accepted










      Remember what you're trying to solve here. The expression



      $$xbeginbmatrix 1 \ 1 \ 2 \ 0 endbmatrix+ybeginbmatrix -1 \ 2 \ 1 \ 3 endbmatrix+zbeginbmatrix 1 \ -1 \ 0 \ -2 endbmatrix$$



      is a vector in $mathbbR^4$. You have to ask yourself, what does it have to do with the question? What are you trying to find out here? What does the kernel even mean?



      The kernel is the set of vectors in $mathbbR^3$ that map to the zero vector in $mathbbR^4$ under $T$. Our map $T$ does the following:



      $$Tbeginbmatrixx \ y \ z endbmatrix=beginbmatrixx−y+z \x+2y−z \2x+y \3y−2zendbmatrix = xbeginbmatrix 1 \ 1 \ 2 \ 0 endbmatrix+ybeginbmatrix -1 \ 2 \ 1 \ 3 endbmatrix+zbeginbmatrix 1 \ -1 \ 0 \ -2 endbmatrix$$



      When does it send the vector to $0$? When $x, y, z$ satisfy



      $$beginbmatrixx−y+z \x+2y−z \2x+y \3y−2zendbmatrix = beginbmatrix 0 \ 0 \ 0 \ 0 endbmatrix.$$



      Equating entries yields the system of equations,



      beginalign*
      x - y + z &= 0 \ x + 2y - z &= 0 \ 2x + y &= 0 \ 3y - 2z &= 0.
      endalign*



      Now it's a matter of solving this system, which we can do with an augmented matrix:



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



      Or, if you're comfortable, you can omit the $0$ column. If you're comfortable, you can skip some of these steps and go straight to the matrix.



      But, as is my point, only if you're comfortable! If you don't know/understand this stuff, then you can get lost along the shortcuts!



      From here, Gauss-Jordan elimination gives:



      $$beginbmatrix1 & 0 & frac13 & 0 \ 0 & 1 & -frac23 & 0 \ 0 & 0 & 0 & 0 \ 0 & 0 & 0 & 0endbmatrix,$$



      which translates to



      beginalign*
      x + fracz3 &= 0 \
      y - frac2z3 &= 0.
      endalign*



      If we let $z = 3t$, for $t in mathbbR$, then $x = -t$ and $y = 2t$. This gives us a solution of



      $$beginbmatrix x \ y \ z endbmatrix = beginbmatrix -t \ 2t \ 3t endbmatrix = tbeginbmatrix -1 \ 2 \ 3 endbmatrix$$



      as $t$ ranges over $mathbbR$. This means our kernel is



      $$operatornameKer(T) = operatornamespan beginbmatrix -1 \ 2 \ 3 endbmatrix.$$



      It is the span of a single non-zero (hence, linearly independent) vector, hence the kernel is of dimension $1$ (i.e. $operatornamenull T = 1$). Using the rank-nullity theorem,
      $$3 = operatornamedim mathbbR^3 = operatornamerank T + operatornamenull T = operatornamerank T + 1$$
      which implies $operatornamerank T = 2$, which is the dimension of the image.






      share|cite|improve this answer























        up vote
        4
        down vote



        accepted







        up vote
        4
        down vote



        accepted






        Remember what you're trying to solve here. The expression



        $$xbeginbmatrix 1 \ 1 \ 2 \ 0 endbmatrix+ybeginbmatrix -1 \ 2 \ 1 \ 3 endbmatrix+zbeginbmatrix 1 \ -1 \ 0 \ -2 endbmatrix$$



        is a vector in $mathbbR^4$. You have to ask yourself, what does it have to do with the question? What are you trying to find out here? What does the kernel even mean?



        The kernel is the set of vectors in $mathbbR^3$ that map to the zero vector in $mathbbR^4$ under $T$. Our map $T$ does the following:



        $$Tbeginbmatrixx \ y \ z endbmatrix=beginbmatrixx−y+z \x+2y−z \2x+y \3y−2zendbmatrix = xbeginbmatrix 1 \ 1 \ 2 \ 0 endbmatrix+ybeginbmatrix -1 \ 2 \ 1 \ 3 endbmatrix+zbeginbmatrix 1 \ -1 \ 0 \ -2 endbmatrix$$



        When does it send the vector to $0$? When $x, y, z$ satisfy



        $$beginbmatrixx−y+z \x+2y−z \2x+y \3y−2zendbmatrix = beginbmatrix 0 \ 0 \ 0 \ 0 endbmatrix.$$



        Equating entries yields the system of equations,



        beginalign*
        x - y + z &= 0 \ x + 2y - z &= 0 \ 2x + y &= 0 \ 3y - 2z &= 0.
        endalign*



        Now it's a matter of solving this system, which we can do with an augmented matrix:



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



        Or, if you're comfortable, you can omit the $0$ column. If you're comfortable, you can skip some of these steps and go straight to the matrix.



        But, as is my point, only if you're comfortable! If you don't know/understand this stuff, then you can get lost along the shortcuts!



        From here, Gauss-Jordan elimination gives:



        $$beginbmatrix1 & 0 & frac13 & 0 \ 0 & 1 & -frac23 & 0 \ 0 & 0 & 0 & 0 \ 0 & 0 & 0 & 0endbmatrix,$$



        which translates to



        beginalign*
        x + fracz3 &= 0 \
        y - frac2z3 &= 0.
        endalign*



        If we let $z = 3t$, for $t in mathbbR$, then $x = -t$ and $y = 2t$. This gives us a solution of



        $$beginbmatrix x \ y \ z endbmatrix = beginbmatrix -t \ 2t \ 3t endbmatrix = tbeginbmatrix -1 \ 2 \ 3 endbmatrix$$



        as $t$ ranges over $mathbbR$. This means our kernel is



        $$operatornameKer(T) = operatornamespan beginbmatrix -1 \ 2 \ 3 endbmatrix.$$



        It is the span of a single non-zero (hence, linearly independent) vector, hence the kernel is of dimension $1$ (i.e. $operatornamenull T = 1$). Using the rank-nullity theorem,
        $$3 = operatornamedim mathbbR^3 = operatornamerank T + operatornamenull T = operatornamerank T + 1$$
        which implies $operatornamerank T = 2$, which is the dimension of the image.






        share|cite|improve this answer













        Remember what you're trying to solve here. The expression



        $$xbeginbmatrix 1 \ 1 \ 2 \ 0 endbmatrix+ybeginbmatrix -1 \ 2 \ 1 \ 3 endbmatrix+zbeginbmatrix 1 \ -1 \ 0 \ -2 endbmatrix$$



        is a vector in $mathbbR^4$. You have to ask yourself, what does it have to do with the question? What are you trying to find out here? What does the kernel even mean?



        The kernel is the set of vectors in $mathbbR^3$ that map to the zero vector in $mathbbR^4$ under $T$. Our map $T$ does the following:



        $$Tbeginbmatrixx \ y \ z endbmatrix=beginbmatrixx−y+z \x+2y−z \2x+y \3y−2zendbmatrix = xbeginbmatrix 1 \ 1 \ 2 \ 0 endbmatrix+ybeginbmatrix -1 \ 2 \ 1 \ 3 endbmatrix+zbeginbmatrix 1 \ -1 \ 0 \ -2 endbmatrix$$



        When does it send the vector to $0$? When $x, y, z$ satisfy



        $$beginbmatrixx−y+z \x+2y−z \2x+y \3y−2zendbmatrix = beginbmatrix 0 \ 0 \ 0 \ 0 endbmatrix.$$



        Equating entries yields the system of equations,



        beginalign*
        x - y + z &= 0 \ x + 2y - z &= 0 \ 2x + y &= 0 \ 3y - 2z &= 0.
        endalign*



        Now it's a matter of solving this system, which we can do with an augmented matrix:



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



        Or, if you're comfortable, you can omit the $0$ column. If you're comfortable, you can skip some of these steps and go straight to the matrix.



        But, as is my point, only if you're comfortable! If you don't know/understand this stuff, then you can get lost along the shortcuts!



        From here, Gauss-Jordan elimination gives:



        $$beginbmatrix1 & 0 & frac13 & 0 \ 0 & 1 & -frac23 & 0 \ 0 & 0 & 0 & 0 \ 0 & 0 & 0 & 0endbmatrix,$$



        which translates to



        beginalign*
        x + fracz3 &= 0 \
        y - frac2z3 &= 0.
        endalign*



        If we let $z = 3t$, for $t in mathbbR$, then $x = -t$ and $y = 2t$. This gives us a solution of



        $$beginbmatrix x \ y \ z endbmatrix = beginbmatrix -t \ 2t \ 3t endbmatrix = tbeginbmatrix -1 \ 2 \ 3 endbmatrix$$



        as $t$ ranges over $mathbbR$. This means our kernel is



        $$operatornameKer(T) = operatornamespan beginbmatrix -1 \ 2 \ 3 endbmatrix.$$



        It is the span of a single non-zero (hence, linearly independent) vector, hence the kernel is of dimension $1$ (i.e. $operatornamenull T = 1$). Using the rank-nullity theorem,
        $$3 = operatornamedim mathbbR^3 = operatornamerank T + operatornamenull T = operatornamerank T + 1$$
        which implies $operatornamerank T = 2$, which is the dimension of the image.







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        answered Aug 2 at 3:24









        Theo Bendit

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