How to find out the linear transformation from its matrix with respect to non-standard bases?

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Here is one example:



Find the functional form of the linear operator $f$ on $mathbbR^2$ whose matrix with respect to the basis $mathcalB=(1,1),(1,-1)$ is $$beginbmatrix 2 & -1\3&5endbmatrix.$$







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    up vote
    1
    down vote

    favorite












    Here is one example:



    Find the functional form of the linear operator $f$ on $mathbbR^2$ whose matrix with respect to the basis $mathcalB=(1,1),(1,-1)$ is $$beginbmatrix 2 & -1\3&5endbmatrix.$$







    share|cite|improve this question






















      up vote
      1
      down vote

      favorite









      up vote
      1
      down vote

      favorite











      Here is one example:



      Find the functional form of the linear operator $f$ on $mathbbR^2$ whose matrix with respect to the basis $mathcalB=(1,1),(1,-1)$ is $$beginbmatrix 2 & -1\3&5endbmatrix.$$







      share|cite|improve this question












      Here is one example:



      Find the functional form of the linear operator $f$ on $mathbbR^2$ whose matrix with respect to the basis $mathcalB=(1,1),(1,-1)$ is $$beginbmatrix 2 & -1\3&5endbmatrix.$$









      share|cite|improve this question











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      asked Aug 8 at 16:54









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          3 Answers
          3






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          oldest

          votes

















          up vote
          3
          down vote



          accepted










          Being $f$ a linear map we have to remember that:




          $$f(ax) = af(x) \f(a+b) = f(a)+f(b)$$




          The matrix representation of a linear map, after choosing a base for the domain and for the image (in our case $mathcalB = (1,1),(1,-1))$ is done by evaluating the map on the basis and then writing down the resultant vector in the basis of the image: the column of the matrix are the coefficients of that vector.



          Long solution



          In our case then we have that: $$f((1,1)) = 2(1,1)+3(1,-1)\ f((1,-1)) = -1(1,1)+5(1,-1))$$ All we have to do now is to write down our basis vectors in the standard base $mathcalC = (1,0), (0,1)$. This can be easily done: $$colorred(1,1) = 1(1,0)+1(0,1)\ colorblue(1,-1) = 1(1,0)-1(0,1)$$ We can then utilise the fact that $f$ is a linear map, the first becomes $$f(colorred(1,0)+(0,1)) = 2((1,0)+(0,1))+3((1,0)-(0,1)) \ f((1,0))+f((0,1)) = 5(1,0)-1(0,1)$$ and the second $$f(colorblue(1,0)-(0,1)) = -((1,0)+(0,1))+5((1,0)-(0,1)) \ f((1,0))-f((0,1)) = 4(1,0)-6(0,1)$$ All we need to find now is the values of $f((0,1))$ and $f((1,0))$ which is easily done by solving the system of the fist and second equalities. Doing the calculations we get: $$2f((1,0)) = 9(1,0)-7(0,1)\-2f((0,1)) = -(1,0)-5(0,1)$$ So the matrix in the standard base is $$[f]_mathcalC^mathcalC = left(beginmatrix 9over 2 & 1over 2\ -7over 2& 5over 2endmatrixright)$$ The explicit representation is easily found: take a vector $mathbfv = (x,y)$ then $$f(mathbfv) = [f]_mathcalC^mathcalCmathbfv = left(9over 2x+1over 2y, -7over 2x+5over 2yright)$$



          Fast, easy, better solution



          We could simply use the matrix for change of basis to find out the matrix of the function $f$ in the standard base. From the following commutative diagram $$newcommandra[1]kern-1.5exxrightarrow #1 phantomkern-1.5ex
          newcommandras[1]kern-1.5exxrightarrow smash#1 phantomkern-1.5ex
          newcommandda[1]biggdownarrowraise.5exrlapscriptstyle#1
          beginarrayc
          mathbbR^2 & ra[f]_mathcalB^mathcalB & mathbbR^2 \
          da[Id]^mathcalB_mathcalC & & da[Id]^mathcalB_mathcalC \
          mathbbR^2 & ras[f]_mathcalC^mathcalC & mathbbR^2 \
          endarray$$ we can say (remember that, to put it simply, map composition goes to matrix multiplication): $$[Id]^mathcalB_mathcalC[f]^mathcalB_mathcalB = [f]^mathcalC_mathcalC[Id]_mathcalC^mathcalB$$ where $[Id]_mathcalC^mathcalB$ is the matrix of change of base from $mathcalB$ to $mathcalC$. The matrix of change of basis are invertible (the map associated with them is an isomorphism), so we can find our matrix for $f$ in the standard base $$[f]_mathcalC^mathcalC = [Id]_mathcalC^mathcalB[f]_mathcalC^mathcalCleft([Id]_mathcalC^mathcalBright)^-1 = [Id]_mathcalC^mathcalB[f]_mathcalC^mathcalC [Id]_mathcalB^mathcalC$$ where in the last step I've used the fact that $$left([Id]_mathcalC^mathcalBright)^-1 = [Id]_mathcalB^mathcalC$$ that is obvious. Finding out the matrix for change of basis (and consequently it's inverse) its very simple: just write as the columns of the matrix the coefficients that define every element of one base in the other base. I'll do one for example, doing from $mathcalB$ to $mathcalC$: $$(1,1) = 1(1,0)+1(0,1)$$ and going the other way $$(1,0) = 1over 2(1,1) + 1over 2(1,-1)$$ Remember that you could even find only one matrix for change of base and then find the inverse! This depends on your problem: usually finding the matrix to go back in the standard base is very very easy but the opposite is not always true. Now let's write down the matrices of change of basis $$[Id]_mathcalC^mathcalB = left(beginmatrix 1&1\1&-1endmatrixright) \ [Id]_mathcalB^mathcalC = left(beginmatrix1over 2 &1over 2\1over 2&-1over 2endmatrixright)$$ If you do in the end the matrix multiplication you'll find the same matrix found in the long solution $$[Id]_mathcalC^mathcalB[f]_mathcalC^mathcalC [Id]_mathcalB^mathcalC = left(beginmatrix 1&1\1&-1endmatrixright)left(beginmatrix2&-1\3&5endmatrixright)left(beginmatrix1over 2 &1over 2\1over 2&-1over 2endmatrixright)=left(beginmatrix 9over 2 & 1over 2\ -7over 2& 5over 2endmatrixright)$$ In the same way as before, you'll find the explicit form of the map






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            Hint: From the first column, we can deduce that
            $$
            f(1,1) = 2 (1,1) + 3(1,-1) = (5,-1)
            $$
            From the second column, we can deduce that
            $$
            f(1,-1) = -(1,1) + 5(1,-1) = (4,-6)
            $$
            In the standard matrix of $f$, the first column will be $f(1,0)$, and the second column will be $f(0,1)$.




            Alternatively: let
            $$
            M = pmatrix2&-1\3&5
            $$
            We know that the matrix
            $$
            P = pmatrix1&1\1&-1
            $$
            implements a change of basis from the standard basis to $mathcal B$. If we take $A$ to denote the matrix that we're looking for, we have
            $$
            PM = AP implies A = PMP^-1
            $$
            which can be directly computed.






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              Let consider the matrix



              $$M=beginbmatrix 1 & 1\1&-1endbmatrix$$



              which represents the change of basis form the basis $mathcalB$ to the standard basis, therefore from



              $$w_mathcalB= A v_mathcalBquad w_mathcalB= beginbmatrix 2 & -1\3&5endbmatrixv_mathcalB$$



              and



              • $w=M w_mathcalBimplies w_mathcalB=M^-1 w$


              • $v=M v_mathcalBimplies v_mathcalB=M^-1 v$


              we have



              $$w_mathcalB= A v_mathcalB$$



              $$M^-1 w= A M^-1 v$$



              $$w= MA M^-1 v$$






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                3 Answers
                3






                active

                oldest

                votes








                3 Answers
                3






                active

                oldest

                votes









                active

                oldest

                votes






                active

                oldest

                votes








                up vote
                3
                down vote



                accepted










                Being $f$ a linear map we have to remember that:




                $$f(ax) = af(x) \f(a+b) = f(a)+f(b)$$




                The matrix representation of a linear map, after choosing a base for the domain and for the image (in our case $mathcalB = (1,1),(1,-1))$ is done by evaluating the map on the basis and then writing down the resultant vector in the basis of the image: the column of the matrix are the coefficients of that vector.



                Long solution



                In our case then we have that: $$f((1,1)) = 2(1,1)+3(1,-1)\ f((1,-1)) = -1(1,1)+5(1,-1))$$ All we have to do now is to write down our basis vectors in the standard base $mathcalC = (1,0), (0,1)$. This can be easily done: $$colorred(1,1) = 1(1,0)+1(0,1)\ colorblue(1,-1) = 1(1,0)-1(0,1)$$ We can then utilise the fact that $f$ is a linear map, the first becomes $$f(colorred(1,0)+(0,1)) = 2((1,0)+(0,1))+3((1,0)-(0,1)) \ f((1,0))+f((0,1)) = 5(1,0)-1(0,1)$$ and the second $$f(colorblue(1,0)-(0,1)) = -((1,0)+(0,1))+5((1,0)-(0,1)) \ f((1,0))-f((0,1)) = 4(1,0)-6(0,1)$$ All we need to find now is the values of $f((0,1))$ and $f((1,0))$ which is easily done by solving the system of the fist and second equalities. Doing the calculations we get: $$2f((1,0)) = 9(1,0)-7(0,1)\-2f((0,1)) = -(1,0)-5(0,1)$$ So the matrix in the standard base is $$[f]_mathcalC^mathcalC = left(beginmatrix 9over 2 & 1over 2\ -7over 2& 5over 2endmatrixright)$$ The explicit representation is easily found: take a vector $mathbfv = (x,y)$ then $$f(mathbfv) = [f]_mathcalC^mathcalCmathbfv = left(9over 2x+1over 2y, -7over 2x+5over 2yright)$$



                Fast, easy, better solution



                We could simply use the matrix for change of basis to find out the matrix of the function $f$ in the standard base. From the following commutative diagram $$newcommandra[1]kern-1.5exxrightarrow #1 phantomkern-1.5ex
                newcommandras[1]kern-1.5exxrightarrow smash#1 phantomkern-1.5ex
                newcommandda[1]biggdownarrowraise.5exrlapscriptstyle#1
                beginarrayc
                mathbbR^2 & ra[f]_mathcalB^mathcalB & mathbbR^2 \
                da[Id]^mathcalB_mathcalC & & da[Id]^mathcalB_mathcalC \
                mathbbR^2 & ras[f]_mathcalC^mathcalC & mathbbR^2 \
                endarray$$ we can say (remember that, to put it simply, map composition goes to matrix multiplication): $$[Id]^mathcalB_mathcalC[f]^mathcalB_mathcalB = [f]^mathcalC_mathcalC[Id]_mathcalC^mathcalB$$ where $[Id]_mathcalC^mathcalB$ is the matrix of change of base from $mathcalB$ to $mathcalC$. The matrix of change of basis are invertible (the map associated with them is an isomorphism), so we can find our matrix for $f$ in the standard base $$[f]_mathcalC^mathcalC = [Id]_mathcalC^mathcalB[f]_mathcalC^mathcalCleft([Id]_mathcalC^mathcalBright)^-1 = [Id]_mathcalC^mathcalB[f]_mathcalC^mathcalC [Id]_mathcalB^mathcalC$$ where in the last step I've used the fact that $$left([Id]_mathcalC^mathcalBright)^-1 = [Id]_mathcalB^mathcalC$$ that is obvious. Finding out the matrix for change of basis (and consequently it's inverse) its very simple: just write as the columns of the matrix the coefficients that define every element of one base in the other base. I'll do one for example, doing from $mathcalB$ to $mathcalC$: $$(1,1) = 1(1,0)+1(0,1)$$ and going the other way $$(1,0) = 1over 2(1,1) + 1over 2(1,-1)$$ Remember that you could even find only one matrix for change of base and then find the inverse! This depends on your problem: usually finding the matrix to go back in the standard base is very very easy but the opposite is not always true. Now let's write down the matrices of change of basis $$[Id]_mathcalC^mathcalB = left(beginmatrix 1&1\1&-1endmatrixright) \ [Id]_mathcalB^mathcalC = left(beginmatrix1over 2 &1over 2\1over 2&-1over 2endmatrixright)$$ If you do in the end the matrix multiplication you'll find the same matrix found in the long solution $$[Id]_mathcalC^mathcalB[f]_mathcalC^mathcalC [Id]_mathcalB^mathcalC = left(beginmatrix 1&1\1&-1endmatrixright)left(beginmatrix2&-1\3&5endmatrixright)left(beginmatrix1over 2 &1over 2\1over 2&-1over 2endmatrixright)=left(beginmatrix 9over 2 & 1over 2\ -7over 2& 5over 2endmatrixright)$$ In the same way as before, you'll find the explicit form of the map






                share|cite|improve this answer


























                  up vote
                  3
                  down vote



                  accepted










                  Being $f$ a linear map we have to remember that:




                  $$f(ax) = af(x) \f(a+b) = f(a)+f(b)$$




                  The matrix representation of a linear map, after choosing a base for the domain and for the image (in our case $mathcalB = (1,1),(1,-1))$ is done by evaluating the map on the basis and then writing down the resultant vector in the basis of the image: the column of the matrix are the coefficients of that vector.



                  Long solution



                  In our case then we have that: $$f((1,1)) = 2(1,1)+3(1,-1)\ f((1,-1)) = -1(1,1)+5(1,-1))$$ All we have to do now is to write down our basis vectors in the standard base $mathcalC = (1,0), (0,1)$. This can be easily done: $$colorred(1,1) = 1(1,0)+1(0,1)\ colorblue(1,-1) = 1(1,0)-1(0,1)$$ We can then utilise the fact that $f$ is a linear map, the first becomes $$f(colorred(1,0)+(0,1)) = 2((1,0)+(0,1))+3((1,0)-(0,1)) \ f((1,0))+f((0,1)) = 5(1,0)-1(0,1)$$ and the second $$f(colorblue(1,0)-(0,1)) = -((1,0)+(0,1))+5((1,0)-(0,1)) \ f((1,0))-f((0,1)) = 4(1,0)-6(0,1)$$ All we need to find now is the values of $f((0,1))$ and $f((1,0))$ which is easily done by solving the system of the fist and second equalities. Doing the calculations we get: $$2f((1,0)) = 9(1,0)-7(0,1)\-2f((0,1)) = -(1,0)-5(0,1)$$ So the matrix in the standard base is $$[f]_mathcalC^mathcalC = left(beginmatrix 9over 2 & 1over 2\ -7over 2& 5over 2endmatrixright)$$ The explicit representation is easily found: take a vector $mathbfv = (x,y)$ then $$f(mathbfv) = [f]_mathcalC^mathcalCmathbfv = left(9over 2x+1over 2y, -7over 2x+5over 2yright)$$



                  Fast, easy, better solution



                  We could simply use the matrix for change of basis to find out the matrix of the function $f$ in the standard base. From the following commutative diagram $$newcommandra[1]kern-1.5exxrightarrow #1 phantomkern-1.5ex
                  newcommandras[1]kern-1.5exxrightarrow smash#1 phantomkern-1.5ex
                  newcommandda[1]biggdownarrowraise.5exrlapscriptstyle#1
                  beginarrayc
                  mathbbR^2 & ra[f]_mathcalB^mathcalB & mathbbR^2 \
                  da[Id]^mathcalB_mathcalC & & da[Id]^mathcalB_mathcalC \
                  mathbbR^2 & ras[f]_mathcalC^mathcalC & mathbbR^2 \
                  endarray$$ we can say (remember that, to put it simply, map composition goes to matrix multiplication): $$[Id]^mathcalB_mathcalC[f]^mathcalB_mathcalB = [f]^mathcalC_mathcalC[Id]_mathcalC^mathcalB$$ where $[Id]_mathcalC^mathcalB$ is the matrix of change of base from $mathcalB$ to $mathcalC$. The matrix of change of basis are invertible (the map associated with them is an isomorphism), so we can find our matrix for $f$ in the standard base $$[f]_mathcalC^mathcalC = [Id]_mathcalC^mathcalB[f]_mathcalC^mathcalCleft([Id]_mathcalC^mathcalBright)^-1 = [Id]_mathcalC^mathcalB[f]_mathcalC^mathcalC [Id]_mathcalB^mathcalC$$ where in the last step I've used the fact that $$left([Id]_mathcalC^mathcalBright)^-1 = [Id]_mathcalB^mathcalC$$ that is obvious. Finding out the matrix for change of basis (and consequently it's inverse) its very simple: just write as the columns of the matrix the coefficients that define every element of one base in the other base. I'll do one for example, doing from $mathcalB$ to $mathcalC$: $$(1,1) = 1(1,0)+1(0,1)$$ and going the other way $$(1,0) = 1over 2(1,1) + 1over 2(1,-1)$$ Remember that you could even find only one matrix for change of base and then find the inverse! This depends on your problem: usually finding the matrix to go back in the standard base is very very easy but the opposite is not always true. Now let's write down the matrices of change of basis $$[Id]_mathcalC^mathcalB = left(beginmatrix 1&1\1&-1endmatrixright) \ [Id]_mathcalB^mathcalC = left(beginmatrix1over 2 &1over 2\1over 2&-1over 2endmatrixright)$$ If you do in the end the matrix multiplication you'll find the same matrix found in the long solution $$[Id]_mathcalC^mathcalB[f]_mathcalC^mathcalC [Id]_mathcalB^mathcalC = left(beginmatrix 1&1\1&-1endmatrixright)left(beginmatrix2&-1\3&5endmatrixright)left(beginmatrix1over 2 &1over 2\1over 2&-1over 2endmatrixright)=left(beginmatrix 9over 2 & 1over 2\ -7over 2& 5over 2endmatrixright)$$ In the same way as before, you'll find the explicit form of the map






                  share|cite|improve this answer
























                    up vote
                    3
                    down vote



                    accepted







                    up vote
                    3
                    down vote



                    accepted






                    Being $f$ a linear map we have to remember that:




                    $$f(ax) = af(x) \f(a+b) = f(a)+f(b)$$




                    The matrix representation of a linear map, after choosing a base for the domain and for the image (in our case $mathcalB = (1,1),(1,-1))$ is done by evaluating the map on the basis and then writing down the resultant vector in the basis of the image: the column of the matrix are the coefficients of that vector.



                    Long solution



                    In our case then we have that: $$f((1,1)) = 2(1,1)+3(1,-1)\ f((1,-1)) = -1(1,1)+5(1,-1))$$ All we have to do now is to write down our basis vectors in the standard base $mathcalC = (1,0), (0,1)$. This can be easily done: $$colorred(1,1) = 1(1,0)+1(0,1)\ colorblue(1,-1) = 1(1,0)-1(0,1)$$ We can then utilise the fact that $f$ is a linear map, the first becomes $$f(colorred(1,0)+(0,1)) = 2((1,0)+(0,1))+3((1,0)-(0,1)) \ f((1,0))+f((0,1)) = 5(1,0)-1(0,1)$$ and the second $$f(colorblue(1,0)-(0,1)) = -((1,0)+(0,1))+5((1,0)-(0,1)) \ f((1,0))-f((0,1)) = 4(1,0)-6(0,1)$$ All we need to find now is the values of $f((0,1))$ and $f((1,0))$ which is easily done by solving the system of the fist and second equalities. Doing the calculations we get: $$2f((1,0)) = 9(1,0)-7(0,1)\-2f((0,1)) = -(1,0)-5(0,1)$$ So the matrix in the standard base is $$[f]_mathcalC^mathcalC = left(beginmatrix 9over 2 & 1over 2\ -7over 2& 5over 2endmatrixright)$$ The explicit representation is easily found: take a vector $mathbfv = (x,y)$ then $$f(mathbfv) = [f]_mathcalC^mathcalCmathbfv = left(9over 2x+1over 2y, -7over 2x+5over 2yright)$$



                    Fast, easy, better solution



                    We could simply use the matrix for change of basis to find out the matrix of the function $f$ in the standard base. From the following commutative diagram $$newcommandra[1]kern-1.5exxrightarrow #1 phantomkern-1.5ex
                    newcommandras[1]kern-1.5exxrightarrow smash#1 phantomkern-1.5ex
                    newcommandda[1]biggdownarrowraise.5exrlapscriptstyle#1
                    beginarrayc
                    mathbbR^2 & ra[f]_mathcalB^mathcalB & mathbbR^2 \
                    da[Id]^mathcalB_mathcalC & & da[Id]^mathcalB_mathcalC \
                    mathbbR^2 & ras[f]_mathcalC^mathcalC & mathbbR^2 \
                    endarray$$ we can say (remember that, to put it simply, map composition goes to matrix multiplication): $$[Id]^mathcalB_mathcalC[f]^mathcalB_mathcalB = [f]^mathcalC_mathcalC[Id]_mathcalC^mathcalB$$ where $[Id]_mathcalC^mathcalB$ is the matrix of change of base from $mathcalB$ to $mathcalC$. The matrix of change of basis are invertible (the map associated with them is an isomorphism), so we can find our matrix for $f$ in the standard base $$[f]_mathcalC^mathcalC = [Id]_mathcalC^mathcalB[f]_mathcalC^mathcalCleft([Id]_mathcalC^mathcalBright)^-1 = [Id]_mathcalC^mathcalB[f]_mathcalC^mathcalC [Id]_mathcalB^mathcalC$$ where in the last step I've used the fact that $$left([Id]_mathcalC^mathcalBright)^-1 = [Id]_mathcalB^mathcalC$$ that is obvious. Finding out the matrix for change of basis (and consequently it's inverse) its very simple: just write as the columns of the matrix the coefficients that define every element of one base in the other base. I'll do one for example, doing from $mathcalB$ to $mathcalC$: $$(1,1) = 1(1,0)+1(0,1)$$ and going the other way $$(1,0) = 1over 2(1,1) + 1over 2(1,-1)$$ Remember that you could even find only one matrix for change of base and then find the inverse! This depends on your problem: usually finding the matrix to go back in the standard base is very very easy but the opposite is not always true. Now let's write down the matrices of change of basis $$[Id]_mathcalC^mathcalB = left(beginmatrix 1&1\1&-1endmatrixright) \ [Id]_mathcalB^mathcalC = left(beginmatrix1over 2 &1over 2\1over 2&-1over 2endmatrixright)$$ If you do in the end the matrix multiplication you'll find the same matrix found in the long solution $$[Id]_mathcalC^mathcalB[f]_mathcalC^mathcalC [Id]_mathcalB^mathcalC = left(beginmatrix 1&1\1&-1endmatrixright)left(beginmatrix2&-1\3&5endmatrixright)left(beginmatrix1over 2 &1over 2\1over 2&-1over 2endmatrixright)=left(beginmatrix 9over 2 & 1over 2\ -7over 2& 5over 2endmatrixright)$$ In the same way as before, you'll find the explicit form of the map






                    share|cite|improve this answer














                    Being $f$ a linear map we have to remember that:




                    $$f(ax) = af(x) \f(a+b) = f(a)+f(b)$$




                    The matrix representation of a linear map, after choosing a base for the domain and for the image (in our case $mathcalB = (1,1),(1,-1))$ is done by evaluating the map on the basis and then writing down the resultant vector in the basis of the image: the column of the matrix are the coefficients of that vector.



                    Long solution



                    In our case then we have that: $$f((1,1)) = 2(1,1)+3(1,-1)\ f((1,-1)) = -1(1,1)+5(1,-1))$$ All we have to do now is to write down our basis vectors in the standard base $mathcalC = (1,0), (0,1)$. This can be easily done: $$colorred(1,1) = 1(1,0)+1(0,1)\ colorblue(1,-1) = 1(1,0)-1(0,1)$$ We can then utilise the fact that $f$ is a linear map, the first becomes $$f(colorred(1,0)+(0,1)) = 2((1,0)+(0,1))+3((1,0)-(0,1)) \ f((1,0))+f((0,1)) = 5(1,0)-1(0,1)$$ and the second $$f(colorblue(1,0)-(0,1)) = -((1,0)+(0,1))+5((1,0)-(0,1)) \ f((1,0))-f((0,1)) = 4(1,0)-6(0,1)$$ All we need to find now is the values of $f((0,1))$ and $f((1,0))$ which is easily done by solving the system of the fist and second equalities. Doing the calculations we get: $$2f((1,0)) = 9(1,0)-7(0,1)\-2f((0,1)) = -(1,0)-5(0,1)$$ So the matrix in the standard base is $$[f]_mathcalC^mathcalC = left(beginmatrix 9over 2 & 1over 2\ -7over 2& 5over 2endmatrixright)$$ The explicit representation is easily found: take a vector $mathbfv = (x,y)$ then $$f(mathbfv) = [f]_mathcalC^mathcalCmathbfv = left(9over 2x+1over 2y, -7over 2x+5over 2yright)$$



                    Fast, easy, better solution



                    We could simply use the matrix for change of basis to find out the matrix of the function $f$ in the standard base. From the following commutative diagram $$newcommandra[1]kern-1.5exxrightarrow #1 phantomkern-1.5ex
                    newcommandras[1]kern-1.5exxrightarrow smash#1 phantomkern-1.5ex
                    newcommandda[1]biggdownarrowraise.5exrlapscriptstyle#1
                    beginarrayc
                    mathbbR^2 & ra[f]_mathcalB^mathcalB & mathbbR^2 \
                    da[Id]^mathcalB_mathcalC & & da[Id]^mathcalB_mathcalC \
                    mathbbR^2 & ras[f]_mathcalC^mathcalC & mathbbR^2 \
                    endarray$$ we can say (remember that, to put it simply, map composition goes to matrix multiplication): $$[Id]^mathcalB_mathcalC[f]^mathcalB_mathcalB = [f]^mathcalC_mathcalC[Id]_mathcalC^mathcalB$$ where $[Id]_mathcalC^mathcalB$ is the matrix of change of base from $mathcalB$ to $mathcalC$. The matrix of change of basis are invertible (the map associated with them is an isomorphism), so we can find our matrix for $f$ in the standard base $$[f]_mathcalC^mathcalC = [Id]_mathcalC^mathcalB[f]_mathcalC^mathcalCleft([Id]_mathcalC^mathcalBright)^-1 = [Id]_mathcalC^mathcalB[f]_mathcalC^mathcalC [Id]_mathcalB^mathcalC$$ where in the last step I've used the fact that $$left([Id]_mathcalC^mathcalBright)^-1 = [Id]_mathcalB^mathcalC$$ that is obvious. Finding out the matrix for change of basis (and consequently it's inverse) its very simple: just write as the columns of the matrix the coefficients that define every element of one base in the other base. I'll do one for example, doing from $mathcalB$ to $mathcalC$: $$(1,1) = 1(1,0)+1(0,1)$$ and going the other way $$(1,0) = 1over 2(1,1) + 1over 2(1,-1)$$ Remember that you could even find only one matrix for change of base and then find the inverse! This depends on your problem: usually finding the matrix to go back in the standard base is very very easy but the opposite is not always true. Now let's write down the matrices of change of basis $$[Id]_mathcalC^mathcalB = left(beginmatrix 1&1\1&-1endmatrixright) \ [Id]_mathcalB^mathcalC = left(beginmatrix1over 2 &1over 2\1over 2&-1over 2endmatrixright)$$ If you do in the end the matrix multiplication you'll find the same matrix found in the long solution $$[Id]_mathcalC^mathcalB[f]_mathcalC^mathcalC [Id]_mathcalB^mathcalC = left(beginmatrix 1&1\1&-1endmatrixright)left(beginmatrix2&-1\3&5endmatrixright)left(beginmatrix1over 2 &1over 2\1over 2&-1over 2endmatrixright)=left(beginmatrix 9over 2 & 1over 2\ -7over 2& 5over 2endmatrixright)$$ In the same way as before, you'll find the explicit form of the map







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                    edited Aug 9 at 9:14

























                    answered Aug 8 at 17:51









                    Davide Morgante

                    2,070221




                    2,070221




















                        up vote
                        2
                        down vote













                        Hint: From the first column, we can deduce that
                        $$
                        f(1,1) = 2 (1,1) + 3(1,-1) = (5,-1)
                        $$
                        From the second column, we can deduce that
                        $$
                        f(1,-1) = -(1,1) + 5(1,-1) = (4,-6)
                        $$
                        In the standard matrix of $f$, the first column will be $f(1,0)$, and the second column will be $f(0,1)$.




                        Alternatively: let
                        $$
                        M = pmatrix2&-1\3&5
                        $$
                        We know that the matrix
                        $$
                        P = pmatrix1&1\1&-1
                        $$
                        implements a change of basis from the standard basis to $mathcal B$. If we take $A$ to denote the matrix that we're looking for, we have
                        $$
                        PM = AP implies A = PMP^-1
                        $$
                        which can be directly computed.






                        share|cite|improve this answer
























                          up vote
                          2
                          down vote













                          Hint: From the first column, we can deduce that
                          $$
                          f(1,1) = 2 (1,1) + 3(1,-1) = (5,-1)
                          $$
                          From the second column, we can deduce that
                          $$
                          f(1,-1) = -(1,1) + 5(1,-1) = (4,-6)
                          $$
                          In the standard matrix of $f$, the first column will be $f(1,0)$, and the second column will be $f(0,1)$.




                          Alternatively: let
                          $$
                          M = pmatrix2&-1\3&5
                          $$
                          We know that the matrix
                          $$
                          P = pmatrix1&1\1&-1
                          $$
                          implements a change of basis from the standard basis to $mathcal B$. If we take $A$ to denote the matrix that we're looking for, we have
                          $$
                          PM = AP implies A = PMP^-1
                          $$
                          which can be directly computed.






                          share|cite|improve this answer






















                            up vote
                            2
                            down vote










                            up vote
                            2
                            down vote









                            Hint: From the first column, we can deduce that
                            $$
                            f(1,1) = 2 (1,1) + 3(1,-1) = (5,-1)
                            $$
                            From the second column, we can deduce that
                            $$
                            f(1,-1) = -(1,1) + 5(1,-1) = (4,-6)
                            $$
                            In the standard matrix of $f$, the first column will be $f(1,0)$, and the second column will be $f(0,1)$.




                            Alternatively: let
                            $$
                            M = pmatrix2&-1\3&5
                            $$
                            We know that the matrix
                            $$
                            P = pmatrix1&1\1&-1
                            $$
                            implements a change of basis from the standard basis to $mathcal B$. If we take $A$ to denote the matrix that we're looking for, we have
                            $$
                            PM = AP implies A = PMP^-1
                            $$
                            which can be directly computed.






                            share|cite|improve this answer












                            Hint: From the first column, we can deduce that
                            $$
                            f(1,1) = 2 (1,1) + 3(1,-1) = (5,-1)
                            $$
                            From the second column, we can deduce that
                            $$
                            f(1,-1) = -(1,1) + 5(1,-1) = (4,-6)
                            $$
                            In the standard matrix of $f$, the first column will be $f(1,0)$, and the second column will be $f(0,1)$.




                            Alternatively: let
                            $$
                            M = pmatrix2&-1\3&5
                            $$
                            We know that the matrix
                            $$
                            P = pmatrix1&1\1&-1
                            $$
                            implements a change of basis from the standard basis to $mathcal B$. If we take $A$ to denote the matrix that we're looking for, we have
                            $$
                            PM = AP implies A = PMP^-1
                            $$
                            which can be directly computed.







                            share|cite|improve this answer












                            share|cite|improve this answer



                            share|cite|improve this answer










                            answered Aug 8 at 17:10









                            Omnomnomnom

                            121k784170




                            121k784170




















                                up vote
                                1
                                down vote













                                Let consider the matrix



                                $$M=beginbmatrix 1 & 1\1&-1endbmatrix$$



                                which represents the change of basis form the basis $mathcalB$ to the standard basis, therefore from



                                $$w_mathcalB= A v_mathcalBquad w_mathcalB= beginbmatrix 2 & -1\3&5endbmatrixv_mathcalB$$



                                and



                                • $w=M w_mathcalBimplies w_mathcalB=M^-1 w$


                                • $v=M v_mathcalBimplies v_mathcalB=M^-1 v$


                                we have



                                $$w_mathcalB= A v_mathcalB$$



                                $$M^-1 w= A M^-1 v$$



                                $$w= MA M^-1 v$$






                                share|cite|improve this answer
























                                  up vote
                                  1
                                  down vote













                                  Let consider the matrix



                                  $$M=beginbmatrix 1 & 1\1&-1endbmatrix$$



                                  which represents the change of basis form the basis $mathcalB$ to the standard basis, therefore from



                                  $$w_mathcalB= A v_mathcalBquad w_mathcalB= beginbmatrix 2 & -1\3&5endbmatrixv_mathcalB$$



                                  and



                                  • $w=M w_mathcalBimplies w_mathcalB=M^-1 w$


                                  • $v=M v_mathcalBimplies v_mathcalB=M^-1 v$


                                  we have



                                  $$w_mathcalB= A v_mathcalB$$



                                  $$M^-1 w= A M^-1 v$$



                                  $$w= MA M^-1 v$$






                                  share|cite|improve this answer






















                                    up vote
                                    1
                                    down vote










                                    up vote
                                    1
                                    down vote









                                    Let consider the matrix



                                    $$M=beginbmatrix 1 & 1\1&-1endbmatrix$$



                                    which represents the change of basis form the basis $mathcalB$ to the standard basis, therefore from



                                    $$w_mathcalB= A v_mathcalBquad w_mathcalB= beginbmatrix 2 & -1\3&5endbmatrixv_mathcalB$$



                                    and



                                    • $w=M w_mathcalBimplies w_mathcalB=M^-1 w$


                                    • $v=M v_mathcalBimplies v_mathcalB=M^-1 v$


                                    we have



                                    $$w_mathcalB= A v_mathcalB$$



                                    $$M^-1 w= A M^-1 v$$



                                    $$w= MA M^-1 v$$






                                    share|cite|improve this answer












                                    Let consider the matrix



                                    $$M=beginbmatrix 1 & 1\1&-1endbmatrix$$



                                    which represents the change of basis form the basis $mathcalB$ to the standard basis, therefore from



                                    $$w_mathcalB= A v_mathcalBquad w_mathcalB= beginbmatrix 2 & -1\3&5endbmatrixv_mathcalB$$



                                    and



                                    • $w=M w_mathcalBimplies w_mathcalB=M^-1 w$


                                    • $v=M v_mathcalBimplies v_mathcalB=M^-1 v$


                                    we have



                                    $$w_mathcalB= A v_mathcalB$$



                                    $$M^-1 w= A M^-1 v$$



                                    $$w= MA M^-1 v$$







                                    share|cite|improve this answer












                                    share|cite|improve this answer



                                    share|cite|improve this answer










                                    answered Aug 8 at 17:11









                                    gimusi

                                    65.8k73684




                                    65.8k73684






















                                         

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