Determine the matrix A that represents T in the canonical form of R2[x] in the start and in the end

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Being T: R2[x]->R2[x] defined in T(ax^2+bx+c)=2ax+b



Determine the matrix A that represents T in the canonical form of R2[x] in the start and in the end



My conclusions until now:



T(1)=0
T(x)=1
T(x^2)=2x



I don't know how to use this to make the matrix.







share|cite|improve this question























    up vote
    0
    down vote

    favorite












    Being T: R2[x]->R2[x] defined in T(ax^2+bx+c)=2ax+b



    Determine the matrix A that represents T in the canonical form of R2[x] in the start and in the end



    My conclusions until now:



    T(1)=0
    T(x)=1
    T(x^2)=2x



    I don't know how to use this to make the matrix.







    share|cite|improve this question





















      up vote
      0
      down vote

      favorite









      up vote
      0
      down vote

      favorite











      Being T: R2[x]->R2[x] defined in T(ax^2+bx+c)=2ax+b



      Determine the matrix A that represents T in the canonical form of R2[x] in the start and in the end



      My conclusions until now:



      T(1)=0
      T(x)=1
      T(x^2)=2x



      I don't know how to use this to make the matrix.







      share|cite|improve this question











      Being T: R2[x]->R2[x] defined in T(ax^2+bx+c)=2ax+b



      Determine the matrix A that represents T in the canonical form of R2[x] in the start and in the end



      My conclusions until now:



      T(1)=0
      T(x)=1
      T(x^2)=2x



      I don't know how to use this to make the matrix.









      share|cite|improve this question










      share|cite|improve this question




      share|cite|improve this question









      asked Jul 16 at 21:03









      Pedro Quintans

      175




      175




















          2 Answers
          2






          active

          oldest

          votes

















          up vote
          1
          down vote



          accepted










          To write the matrix of this homomorphism (the method holds for every linear map) $$T: mathbbR_2[x]rightarrow mathbbR_2[x]$$ we first choose a base for for the domain and one for the image: the exercise here requires the canonical basis for either two, which is $mathcalB = 1, x, x^2$. Then to determine the matrix $[T]$ associated to the map you just have to evaluate the application on the basis, in this case: $$T(1) = 0;;;;T(x) = 1;;;; T(x^2) = 2x$$ and write the result as a linear combination of the basis of the image (in this case it remains the same), so: $$mathbfv_1=T(1) = 0*1 + 0*x+0*x^2 \ mathbfv_2=T(x) = 1*1 + 0*x +0*x^2 \ mathbfv_3=T(x^2) = 0*1 + 2*x +0*x^2$$
          The coordinate of the three vectors in the base of the image are then $$mathbfv_1 = (0,0,0);;;;mathbfv_2=(1,0,0);;;;mathbfv_3=(0,2,0)$$ Finally the matrix of the map is to be written as



          $$left( beginmatrix|&|&|\
          mathbfv_1&mathbfv_2&mathbfv_3\
          |&|&|endmatrixright) = left( beginmatrix0&1&0\
          0&0&2\
          0&0&0endmatrixright)$$



          You can check if this is right by taking a generic vector $mathbfv=(c,b,a) = c+bx+ax^2$ and seeing if the product of this with the matrix gets you were you wanted to be
          $$left( beginmatrix0&1&0\
          0&0&2\
          0&0&0endmatrixright) left(beginmatrixc\b\aendmatrixright) = left(beginmatrixb\2a\0endmatrixright) = b+2ax$$
          as the exercise stated.



          Justification



          If it wasn't clear, you take the product with the matrix because, if you have the matrix associated with your map (which is unique after choosing the basis) you can write the map as: $$T(mathbfv) = [T]mathbfv^T$$



          Just for fun



          I really loved the notation used by Lang to write the matrix of a linear map $$L:V_mathcalBrightarrow W_mathcalC$$ where the subscript denotes the basis chosen for each vecor space. He denotes the matrix as $$[L]^mathcalB_mathcalC$$ which I found very useful when dealing with map composition






          share|cite|improve this answer























          • and write the result as a linear combination of the basis of the image (in this case it remains the same) I couldn't follow the calculus For T(1)=0, following (1,x,x^2) we have 0*1+0*x+0*x^2 i could understand T(x)=1 i got stuck and couldn't understand the 1*1 (i must be dumb)
            – Pedro Quintans
            Jul 16 at 22:39










          • That's no shame, it happens to everybody!
            – Davide Morgante
            Jul 16 at 22:43










          • @PedroQuintans By the way, I think for future reference you should accept the answer so that it will show on MSE as a closed question!
            – Davide Morgante
            Jul 17 at 17:41










          • Sorry about that, i'm new to this site, i already closed it, thanks
            – Pedro Quintans
            Jul 18 at 12:41

















          up vote
          0
          down vote













          I suppose the ‘canonical form’ denotes the canonical basis $1, x, x^2 $ of $:mathbf R_2[X]$.



          Hint:



          The column vectors of this $3times 3$ matrix are the coordinates in the canonical basis of the images of the vectors of this canonical basis.






          share|cite|improve this answer





















          • Sorry, can you provide an example?
            – Pedro Quintans
            Jul 16 at 21:20










          • In your case, for instance $T(x^2)=2x$. So the coordinates of $T(x^2)$ in basis $(1,x,x^2)$ are $(0, 2,0)$ (transposed).
            – Bernard
            Jul 16 at 21:25










          • how? i don't understand, you replace the x from the (1,X,x^2) for 2x?
            – Pedro Quintans
            Jul 16 at 22:44










          • Because $2x=colorred0cdot 1+colorred2cdot x+colorred0cdot x^2$, that's all!
            – Bernard
            Jul 16 at 22:52











          Your Answer




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          2 Answers
          2






          active

          oldest

          votes








          2 Answers
          2






          active

          oldest

          votes









          active

          oldest

          votes






          active

          oldest

          votes








          up vote
          1
          down vote



          accepted










          To write the matrix of this homomorphism (the method holds for every linear map) $$T: mathbbR_2[x]rightarrow mathbbR_2[x]$$ we first choose a base for for the domain and one for the image: the exercise here requires the canonical basis for either two, which is $mathcalB = 1, x, x^2$. Then to determine the matrix $[T]$ associated to the map you just have to evaluate the application on the basis, in this case: $$T(1) = 0;;;;T(x) = 1;;;; T(x^2) = 2x$$ and write the result as a linear combination of the basis of the image (in this case it remains the same), so: $$mathbfv_1=T(1) = 0*1 + 0*x+0*x^2 \ mathbfv_2=T(x) = 1*1 + 0*x +0*x^2 \ mathbfv_3=T(x^2) = 0*1 + 2*x +0*x^2$$
          The coordinate of the three vectors in the base of the image are then $$mathbfv_1 = (0,0,0);;;;mathbfv_2=(1,0,0);;;;mathbfv_3=(0,2,0)$$ Finally the matrix of the map is to be written as



          $$left( beginmatrix|&|&|\
          mathbfv_1&mathbfv_2&mathbfv_3\
          |&|&|endmatrixright) = left( beginmatrix0&1&0\
          0&0&2\
          0&0&0endmatrixright)$$



          You can check if this is right by taking a generic vector $mathbfv=(c,b,a) = c+bx+ax^2$ and seeing if the product of this with the matrix gets you were you wanted to be
          $$left( beginmatrix0&1&0\
          0&0&2\
          0&0&0endmatrixright) left(beginmatrixc\b\aendmatrixright) = left(beginmatrixb\2a\0endmatrixright) = b+2ax$$
          as the exercise stated.



          Justification



          If it wasn't clear, you take the product with the matrix because, if you have the matrix associated with your map (which is unique after choosing the basis) you can write the map as: $$T(mathbfv) = [T]mathbfv^T$$



          Just for fun



          I really loved the notation used by Lang to write the matrix of a linear map $$L:V_mathcalBrightarrow W_mathcalC$$ where the subscript denotes the basis chosen for each vecor space. He denotes the matrix as $$[L]^mathcalB_mathcalC$$ which I found very useful when dealing with map composition






          share|cite|improve this answer























          • and write the result as a linear combination of the basis of the image (in this case it remains the same) I couldn't follow the calculus For T(1)=0, following (1,x,x^2) we have 0*1+0*x+0*x^2 i could understand T(x)=1 i got stuck and couldn't understand the 1*1 (i must be dumb)
            – Pedro Quintans
            Jul 16 at 22:39










          • That's no shame, it happens to everybody!
            – Davide Morgante
            Jul 16 at 22:43










          • @PedroQuintans By the way, I think for future reference you should accept the answer so that it will show on MSE as a closed question!
            – Davide Morgante
            Jul 17 at 17:41










          • Sorry about that, i'm new to this site, i already closed it, thanks
            – Pedro Quintans
            Jul 18 at 12:41














          up vote
          1
          down vote



          accepted










          To write the matrix of this homomorphism (the method holds for every linear map) $$T: mathbbR_2[x]rightarrow mathbbR_2[x]$$ we first choose a base for for the domain and one for the image: the exercise here requires the canonical basis for either two, which is $mathcalB = 1, x, x^2$. Then to determine the matrix $[T]$ associated to the map you just have to evaluate the application on the basis, in this case: $$T(1) = 0;;;;T(x) = 1;;;; T(x^2) = 2x$$ and write the result as a linear combination of the basis of the image (in this case it remains the same), so: $$mathbfv_1=T(1) = 0*1 + 0*x+0*x^2 \ mathbfv_2=T(x) = 1*1 + 0*x +0*x^2 \ mathbfv_3=T(x^2) = 0*1 + 2*x +0*x^2$$
          The coordinate of the three vectors in the base of the image are then $$mathbfv_1 = (0,0,0);;;;mathbfv_2=(1,0,0);;;;mathbfv_3=(0,2,0)$$ Finally the matrix of the map is to be written as



          $$left( beginmatrix|&|&|\
          mathbfv_1&mathbfv_2&mathbfv_3\
          |&|&|endmatrixright) = left( beginmatrix0&1&0\
          0&0&2\
          0&0&0endmatrixright)$$



          You can check if this is right by taking a generic vector $mathbfv=(c,b,a) = c+bx+ax^2$ and seeing if the product of this with the matrix gets you were you wanted to be
          $$left( beginmatrix0&1&0\
          0&0&2\
          0&0&0endmatrixright) left(beginmatrixc\b\aendmatrixright) = left(beginmatrixb\2a\0endmatrixright) = b+2ax$$
          as the exercise stated.



          Justification



          If it wasn't clear, you take the product with the matrix because, if you have the matrix associated with your map (which is unique after choosing the basis) you can write the map as: $$T(mathbfv) = [T]mathbfv^T$$



          Just for fun



          I really loved the notation used by Lang to write the matrix of a linear map $$L:V_mathcalBrightarrow W_mathcalC$$ where the subscript denotes the basis chosen for each vecor space. He denotes the matrix as $$[L]^mathcalB_mathcalC$$ which I found very useful when dealing with map composition






          share|cite|improve this answer























          • and write the result as a linear combination of the basis of the image (in this case it remains the same) I couldn't follow the calculus For T(1)=0, following (1,x,x^2) we have 0*1+0*x+0*x^2 i could understand T(x)=1 i got stuck and couldn't understand the 1*1 (i must be dumb)
            – Pedro Quintans
            Jul 16 at 22:39










          • That's no shame, it happens to everybody!
            – Davide Morgante
            Jul 16 at 22:43










          • @PedroQuintans By the way, I think for future reference you should accept the answer so that it will show on MSE as a closed question!
            – Davide Morgante
            Jul 17 at 17:41










          • Sorry about that, i'm new to this site, i already closed it, thanks
            – Pedro Quintans
            Jul 18 at 12:41












          up vote
          1
          down vote



          accepted







          up vote
          1
          down vote



          accepted






          To write the matrix of this homomorphism (the method holds for every linear map) $$T: mathbbR_2[x]rightarrow mathbbR_2[x]$$ we first choose a base for for the domain and one for the image: the exercise here requires the canonical basis for either two, which is $mathcalB = 1, x, x^2$. Then to determine the matrix $[T]$ associated to the map you just have to evaluate the application on the basis, in this case: $$T(1) = 0;;;;T(x) = 1;;;; T(x^2) = 2x$$ and write the result as a linear combination of the basis of the image (in this case it remains the same), so: $$mathbfv_1=T(1) = 0*1 + 0*x+0*x^2 \ mathbfv_2=T(x) = 1*1 + 0*x +0*x^2 \ mathbfv_3=T(x^2) = 0*1 + 2*x +0*x^2$$
          The coordinate of the three vectors in the base of the image are then $$mathbfv_1 = (0,0,0);;;;mathbfv_2=(1,0,0);;;;mathbfv_3=(0,2,0)$$ Finally the matrix of the map is to be written as



          $$left( beginmatrix|&|&|\
          mathbfv_1&mathbfv_2&mathbfv_3\
          |&|&|endmatrixright) = left( beginmatrix0&1&0\
          0&0&2\
          0&0&0endmatrixright)$$



          You can check if this is right by taking a generic vector $mathbfv=(c,b,a) = c+bx+ax^2$ and seeing if the product of this with the matrix gets you were you wanted to be
          $$left( beginmatrix0&1&0\
          0&0&2\
          0&0&0endmatrixright) left(beginmatrixc\b\aendmatrixright) = left(beginmatrixb\2a\0endmatrixright) = b+2ax$$
          as the exercise stated.



          Justification



          If it wasn't clear, you take the product with the matrix because, if you have the matrix associated with your map (which is unique after choosing the basis) you can write the map as: $$T(mathbfv) = [T]mathbfv^T$$



          Just for fun



          I really loved the notation used by Lang to write the matrix of a linear map $$L:V_mathcalBrightarrow W_mathcalC$$ where the subscript denotes the basis chosen for each vecor space. He denotes the matrix as $$[L]^mathcalB_mathcalC$$ which I found very useful when dealing with map composition






          share|cite|improve this answer















          To write the matrix of this homomorphism (the method holds for every linear map) $$T: mathbbR_2[x]rightarrow mathbbR_2[x]$$ we first choose a base for for the domain and one for the image: the exercise here requires the canonical basis for either two, which is $mathcalB = 1, x, x^2$. Then to determine the matrix $[T]$ associated to the map you just have to evaluate the application on the basis, in this case: $$T(1) = 0;;;;T(x) = 1;;;; T(x^2) = 2x$$ and write the result as a linear combination of the basis of the image (in this case it remains the same), so: $$mathbfv_1=T(1) = 0*1 + 0*x+0*x^2 \ mathbfv_2=T(x) = 1*1 + 0*x +0*x^2 \ mathbfv_3=T(x^2) = 0*1 + 2*x +0*x^2$$
          The coordinate of the three vectors in the base of the image are then $$mathbfv_1 = (0,0,0);;;;mathbfv_2=(1,0,0);;;;mathbfv_3=(0,2,0)$$ Finally the matrix of the map is to be written as



          $$left( beginmatrix|&|&|\
          mathbfv_1&mathbfv_2&mathbfv_3\
          |&|&|endmatrixright) = left( beginmatrix0&1&0\
          0&0&2\
          0&0&0endmatrixright)$$



          You can check if this is right by taking a generic vector $mathbfv=(c,b,a) = c+bx+ax^2$ and seeing if the product of this with the matrix gets you were you wanted to be
          $$left( beginmatrix0&1&0\
          0&0&2\
          0&0&0endmatrixright) left(beginmatrixc\b\aendmatrixright) = left(beginmatrixb\2a\0endmatrixright) = b+2ax$$
          as the exercise stated.



          Justification



          If it wasn't clear, you take the product with the matrix because, if you have the matrix associated with your map (which is unique after choosing the basis) you can write the map as: $$T(mathbfv) = [T]mathbfv^T$$



          Just for fun



          I really loved the notation used by Lang to write the matrix of a linear map $$L:V_mathcalBrightarrow W_mathcalC$$ where the subscript denotes the basis chosen for each vecor space. He denotes the matrix as $$[L]^mathcalB_mathcalC$$ which I found very useful when dealing with map composition







          share|cite|improve this answer















          share|cite|improve this answer



          share|cite|improve this answer








          edited Jul 16 at 21:44


























          answered Jul 16 at 21:29









          Davide Morgante

          1,875220




          1,875220











          • and write the result as a linear combination of the basis of the image (in this case it remains the same) I couldn't follow the calculus For T(1)=0, following (1,x,x^2) we have 0*1+0*x+0*x^2 i could understand T(x)=1 i got stuck and couldn't understand the 1*1 (i must be dumb)
            – Pedro Quintans
            Jul 16 at 22:39










          • That's no shame, it happens to everybody!
            – Davide Morgante
            Jul 16 at 22:43










          • @PedroQuintans By the way, I think for future reference you should accept the answer so that it will show on MSE as a closed question!
            – Davide Morgante
            Jul 17 at 17:41










          • Sorry about that, i'm new to this site, i already closed it, thanks
            – Pedro Quintans
            Jul 18 at 12:41
















          • and write the result as a linear combination of the basis of the image (in this case it remains the same) I couldn't follow the calculus For T(1)=0, following (1,x,x^2) we have 0*1+0*x+0*x^2 i could understand T(x)=1 i got stuck and couldn't understand the 1*1 (i must be dumb)
            – Pedro Quintans
            Jul 16 at 22:39










          • That's no shame, it happens to everybody!
            – Davide Morgante
            Jul 16 at 22:43










          • @PedroQuintans By the way, I think for future reference you should accept the answer so that it will show on MSE as a closed question!
            – Davide Morgante
            Jul 17 at 17:41










          • Sorry about that, i'm new to this site, i already closed it, thanks
            – Pedro Quintans
            Jul 18 at 12:41















          and write the result as a linear combination of the basis of the image (in this case it remains the same) I couldn't follow the calculus For T(1)=0, following (1,x,x^2) we have 0*1+0*x+0*x^2 i could understand T(x)=1 i got stuck and couldn't understand the 1*1 (i must be dumb)
          – Pedro Quintans
          Jul 16 at 22:39




          and write the result as a linear combination of the basis of the image (in this case it remains the same) I couldn't follow the calculus For T(1)=0, following (1,x,x^2) we have 0*1+0*x+0*x^2 i could understand T(x)=1 i got stuck and couldn't understand the 1*1 (i must be dumb)
          – Pedro Quintans
          Jul 16 at 22:39












          That's no shame, it happens to everybody!
          – Davide Morgante
          Jul 16 at 22:43




          That's no shame, it happens to everybody!
          – Davide Morgante
          Jul 16 at 22:43












          @PedroQuintans By the way, I think for future reference you should accept the answer so that it will show on MSE as a closed question!
          – Davide Morgante
          Jul 17 at 17:41




          @PedroQuintans By the way, I think for future reference you should accept the answer so that it will show on MSE as a closed question!
          – Davide Morgante
          Jul 17 at 17:41












          Sorry about that, i'm new to this site, i already closed it, thanks
          – Pedro Quintans
          Jul 18 at 12:41




          Sorry about that, i'm new to this site, i already closed it, thanks
          – Pedro Quintans
          Jul 18 at 12:41










          up vote
          0
          down vote













          I suppose the ‘canonical form’ denotes the canonical basis $1, x, x^2 $ of $:mathbf R_2[X]$.



          Hint:



          The column vectors of this $3times 3$ matrix are the coordinates in the canonical basis of the images of the vectors of this canonical basis.






          share|cite|improve this answer





















          • Sorry, can you provide an example?
            – Pedro Quintans
            Jul 16 at 21:20










          • In your case, for instance $T(x^2)=2x$. So the coordinates of $T(x^2)$ in basis $(1,x,x^2)$ are $(0, 2,0)$ (transposed).
            – Bernard
            Jul 16 at 21:25










          • how? i don't understand, you replace the x from the (1,X,x^2) for 2x?
            – Pedro Quintans
            Jul 16 at 22:44










          • Because $2x=colorred0cdot 1+colorred2cdot x+colorred0cdot x^2$, that's all!
            – Bernard
            Jul 16 at 22:52















          up vote
          0
          down vote













          I suppose the ‘canonical form’ denotes the canonical basis $1, x, x^2 $ of $:mathbf R_2[X]$.



          Hint:



          The column vectors of this $3times 3$ matrix are the coordinates in the canonical basis of the images of the vectors of this canonical basis.






          share|cite|improve this answer





















          • Sorry, can you provide an example?
            – Pedro Quintans
            Jul 16 at 21:20










          • In your case, for instance $T(x^2)=2x$. So the coordinates of $T(x^2)$ in basis $(1,x,x^2)$ are $(0, 2,0)$ (transposed).
            – Bernard
            Jul 16 at 21:25










          • how? i don't understand, you replace the x from the (1,X,x^2) for 2x?
            – Pedro Quintans
            Jul 16 at 22:44










          • Because $2x=colorred0cdot 1+colorred2cdot x+colorred0cdot x^2$, that's all!
            – Bernard
            Jul 16 at 22:52













          up vote
          0
          down vote










          up vote
          0
          down vote









          I suppose the ‘canonical form’ denotes the canonical basis $1, x, x^2 $ of $:mathbf R_2[X]$.



          Hint:



          The column vectors of this $3times 3$ matrix are the coordinates in the canonical basis of the images of the vectors of this canonical basis.






          share|cite|improve this answer













          I suppose the ‘canonical form’ denotes the canonical basis $1, x, x^2 $ of $:mathbf R_2[X]$.



          Hint:



          The column vectors of this $3times 3$ matrix are the coordinates in the canonical basis of the images of the vectors of this canonical basis.







          share|cite|improve this answer













          share|cite|improve this answer



          share|cite|improve this answer











          answered Jul 16 at 21:11









          Bernard

          110k635103




          110k635103











          • Sorry, can you provide an example?
            – Pedro Quintans
            Jul 16 at 21:20










          • In your case, for instance $T(x^2)=2x$. So the coordinates of $T(x^2)$ in basis $(1,x,x^2)$ are $(0, 2,0)$ (transposed).
            – Bernard
            Jul 16 at 21:25










          • how? i don't understand, you replace the x from the (1,X,x^2) for 2x?
            – Pedro Quintans
            Jul 16 at 22:44










          • Because $2x=colorred0cdot 1+colorred2cdot x+colorred0cdot x^2$, that's all!
            – Bernard
            Jul 16 at 22:52

















          • Sorry, can you provide an example?
            – Pedro Quintans
            Jul 16 at 21:20










          • In your case, for instance $T(x^2)=2x$. So the coordinates of $T(x^2)$ in basis $(1,x,x^2)$ are $(0, 2,0)$ (transposed).
            – Bernard
            Jul 16 at 21:25










          • how? i don't understand, you replace the x from the (1,X,x^2) for 2x?
            – Pedro Quintans
            Jul 16 at 22:44










          • Because $2x=colorred0cdot 1+colorred2cdot x+colorred0cdot x^2$, that's all!
            – Bernard
            Jul 16 at 22:52
















          Sorry, can you provide an example?
          – Pedro Quintans
          Jul 16 at 21:20




          Sorry, can you provide an example?
          – Pedro Quintans
          Jul 16 at 21:20












          In your case, for instance $T(x^2)=2x$. So the coordinates of $T(x^2)$ in basis $(1,x,x^2)$ are $(0, 2,0)$ (transposed).
          – Bernard
          Jul 16 at 21:25




          In your case, for instance $T(x^2)=2x$. So the coordinates of $T(x^2)$ in basis $(1,x,x^2)$ are $(0, 2,0)$ (transposed).
          – Bernard
          Jul 16 at 21:25












          how? i don't understand, you replace the x from the (1,X,x^2) for 2x?
          – Pedro Quintans
          Jul 16 at 22:44




          how? i don't understand, you replace the x from the (1,X,x^2) for 2x?
          – Pedro Quintans
          Jul 16 at 22:44












          Because $2x=colorred0cdot 1+colorred2cdot x+colorred0cdot x^2$, that's all!
          – Bernard
          Jul 16 at 22:52





          Because $2x=colorred0cdot 1+colorred2cdot x+colorred0cdot x^2$, that's all!
          – Bernard
          Jul 16 at 22:52













           

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