Linear algebra transformations, kernel, range and confusion












3














I have vector space V of polynomials in the variable x which is a real number.
The transformation f is defined as follows:



$ f : V → V : p(x) → x^2 left(frac{d^2 p(x)}{dx^2}right)$



i.e.: deriviate twice in x and multiply by $x^2$.



And now the question,
Give the exact description of all elements of the kernel of f en the range of f. What are the dimensions of V, ther kernel of f and the range of f?



This is where I'm completely stuck, how is this even a linear transformation if it involves squares and how do I find this kernel and the matrix A that corresponds with f? I need this matrix because I need to find the eigenvalues and eigenvectors although the assignment states that this is a theoretical exercicse and that matrices are unnecessary here.










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  • The transformation $f$ is linear because the argument of the transformation is the polynomial $p$, not the variable $x$. So the linearity comes from the fact that the derivative operator is linear.
    – Dave
    2 hours ago
















3














I have vector space V of polynomials in the variable x which is a real number.
The transformation f is defined as follows:



$ f : V → V : p(x) → x^2 left(frac{d^2 p(x)}{dx^2}right)$



i.e.: deriviate twice in x and multiply by $x^2$.



And now the question,
Give the exact description of all elements of the kernel of f en the range of f. What are the dimensions of V, ther kernel of f and the range of f?



This is where I'm completely stuck, how is this even a linear transformation if it involves squares and how do I find this kernel and the matrix A that corresponds with f? I need this matrix because I need to find the eigenvalues and eigenvectors although the assignment states that this is a theoretical exercicse and that matrices are unnecessary here.










share|cite|improve this question
























  • The transformation $f$ is linear because the argument of the transformation is the polynomial $p$, not the variable $x$. So the linearity comes from the fact that the derivative operator is linear.
    – Dave
    2 hours ago














3












3








3







I have vector space V of polynomials in the variable x which is a real number.
The transformation f is defined as follows:



$ f : V → V : p(x) → x^2 left(frac{d^2 p(x)}{dx^2}right)$



i.e.: deriviate twice in x and multiply by $x^2$.



And now the question,
Give the exact description of all elements of the kernel of f en the range of f. What are the dimensions of V, ther kernel of f and the range of f?



This is where I'm completely stuck, how is this even a linear transformation if it involves squares and how do I find this kernel and the matrix A that corresponds with f? I need this matrix because I need to find the eigenvalues and eigenvectors although the assignment states that this is a theoretical exercicse and that matrices are unnecessary here.










share|cite|improve this question















I have vector space V of polynomials in the variable x which is a real number.
The transformation f is defined as follows:



$ f : V → V : p(x) → x^2 left(frac{d^2 p(x)}{dx^2}right)$



i.e.: deriviate twice in x and multiply by $x^2$.



And now the question,
Give the exact description of all elements of the kernel of f en the range of f. What are the dimensions of V, ther kernel of f and the range of f?



This is where I'm completely stuck, how is this even a linear transformation if it involves squares and how do I find this kernel and the matrix A that corresponds with f? I need this matrix because I need to find the eigenvalues and eigenvectors although the assignment states that this is a theoretical exercicse and that matrices are unnecessary here.







linear-algebra linear-transformations






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edited 2 hours ago

























asked 2 hours ago









Wouter Vandenputte

1185




1185












  • The transformation $f$ is linear because the argument of the transformation is the polynomial $p$, not the variable $x$. So the linearity comes from the fact that the derivative operator is linear.
    – Dave
    2 hours ago


















  • The transformation $f$ is linear because the argument of the transformation is the polynomial $p$, not the variable $x$. So the linearity comes from the fact that the derivative operator is linear.
    – Dave
    2 hours ago
















The transformation $f$ is linear because the argument of the transformation is the polynomial $p$, not the variable $x$. So the linearity comes from the fact that the derivative operator is linear.
– Dave
2 hours ago




The transformation $f$ is linear because the argument of the transformation is the polynomial $p$, not the variable $x$. So the linearity comes from the fact that the derivative operator is linear.
– Dave
2 hours ago










4 Answers
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1














$V$ is the vector space of polynomials.
Think about $V$ as infinite real sequences such that all but finitely many elements are $0$. (The identification being: the list of coefficients $a_0, a_1, ldots$ of the polynomial.)
Then multiplication by $x^2$ is just a transformation that maps a sequence $s$ to another one that is obtained from $s$ by writing two zeroes in the beginning of the sequence. (More precisely, shift the sequence by 2 to the right and write $0$ into the term $a_0$ and $a_1$.)
This is clearly a linear operation.
The same holds for derivation: it just multiplies every $a_i$ by $i$, and then deletes the first term (whose index is zero.)






share|cite|improve this answer





























    1














    Let me denote the operator by $T$, and the second derivative by $D^2$.



    Note that the derivative is a linear operator, so for
    $p,q in V$ and $a, b in mathbb R$, you have $$ T(a p(x)+ b q(x)) = x^2 D^2 (ap(x)+bq(x)) = a x^2 D^2 p(x) + b x^2 D^2 q(x) = a Tp(x) + bTq(x),$$
    and $T$ is a linear operator.



    To find the kernel, you should determine for which $pin V$ you have
    $$ Tp(x) = x^2 D^2 p(x) = 0 quad iff quad D^2p(x) = 0. $$
    Note that this can be solved by simply integrating twice.



    To find the range, you should check for which $q in V$, there is a $p in V$ such that
    $$ Tp(x) = q(x) quad iff quad x^2 D^2p(x) = q(x). $$
    Note that $q$ is a polynomial and that the solution $p$ to this equation should be a polynomial.






    share|cite|improve this answer































      1














      Note that both $pmapsto dp/dx$ and $pmapsto xcdot p$ are $Bbb R$-linear maps, and $f$ is a composition of these maps.



      For the kernel, we have $f(p)=0$ iff $d^2p/dx^2=0$, i.e. iff $p$ is at most linear.



      For the range, we have $q=f(p)$ iff $q$ is divisible by $x^2$, i.e. has zero constant term and zero coefficient for $x$.



      For the eigenvectors, write $p=a_0+a_1x+dots +a_nx^n$.






      share|cite|improve this answer





























        0














        One way to view vectors in this space is to convert each polynomial into a column vector filled with its coefficients, so the first component is the constant of the polynomial, the second component is the coefficient for the $x$ term, the third component is the coefficient for the $x^2$ term, and so on. So multiplying by $x^2$ basically just shifts each coefficient down two components and fills the first two components with 0's, which is a linear transformation $T(v)$ because $T(av+bw)=a(T(v)+b(T(w))$ for constants $a,b$ and vectors $v,w$.



        The kernel is just all polynomials which map to the $0$ vector after the transformation. The "multiplying by $x^2$" part will never produce a $0$ vector unless $p(x)$ is the $0$ vector, so the second derivative of $p(x)$ has to be 0. Therefore the kernel of the given transformation is the set of all polynomials of degree 1, so polynomials of the form $a+bx$ for constants $a,b$.



        Now, the range of the transformation is every polynomial which can be obtained through the transformation. The zero vector is included, since the kernel is non-empty. The other polynomials possible are any polynomial of degree at least 2 because we multiply by $x^2$ after the derivative.






        share|cite|improve this answer





















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          4 Answers
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          4 Answers
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          active

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          active

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          1














          $V$ is the vector space of polynomials.
          Think about $V$ as infinite real sequences such that all but finitely many elements are $0$. (The identification being: the list of coefficients $a_0, a_1, ldots$ of the polynomial.)
          Then multiplication by $x^2$ is just a transformation that maps a sequence $s$ to another one that is obtained from $s$ by writing two zeroes in the beginning of the sequence. (More precisely, shift the sequence by 2 to the right and write $0$ into the term $a_0$ and $a_1$.)
          This is clearly a linear operation.
          The same holds for derivation: it just multiplies every $a_i$ by $i$, and then deletes the first term (whose index is zero.)






          share|cite|improve this answer


























            1














            $V$ is the vector space of polynomials.
            Think about $V$ as infinite real sequences such that all but finitely many elements are $0$. (The identification being: the list of coefficients $a_0, a_1, ldots$ of the polynomial.)
            Then multiplication by $x^2$ is just a transformation that maps a sequence $s$ to another one that is obtained from $s$ by writing two zeroes in the beginning of the sequence. (More precisely, shift the sequence by 2 to the right and write $0$ into the term $a_0$ and $a_1$.)
            This is clearly a linear operation.
            The same holds for derivation: it just multiplies every $a_i$ by $i$, and then deletes the first term (whose index is zero.)






            share|cite|improve this answer
























              1












              1








              1






              $V$ is the vector space of polynomials.
              Think about $V$ as infinite real sequences such that all but finitely many elements are $0$. (The identification being: the list of coefficients $a_0, a_1, ldots$ of the polynomial.)
              Then multiplication by $x^2$ is just a transformation that maps a sequence $s$ to another one that is obtained from $s$ by writing two zeroes in the beginning of the sequence. (More precisely, shift the sequence by 2 to the right and write $0$ into the term $a_0$ and $a_1$.)
              This is clearly a linear operation.
              The same holds for derivation: it just multiplies every $a_i$ by $i$, and then deletes the first term (whose index is zero.)






              share|cite|improve this answer












              $V$ is the vector space of polynomials.
              Think about $V$ as infinite real sequences such that all but finitely many elements are $0$. (The identification being: the list of coefficients $a_0, a_1, ldots$ of the polynomial.)
              Then multiplication by $x^2$ is just a transformation that maps a sequence $s$ to another one that is obtained from $s$ by writing two zeroes in the beginning of the sequence. (More precisely, shift the sequence by 2 to the right and write $0$ into the term $a_0$ and $a_1$.)
              This is clearly a linear operation.
              The same holds for derivation: it just multiplies every $a_i$ by $i$, and then deletes the first term (whose index is zero.)







              share|cite|improve this answer












              share|cite|improve this answer



              share|cite|improve this answer










              answered 2 hours ago









              A. Pongrácz

              5,353725




              5,353725























                  1














                  Let me denote the operator by $T$, and the second derivative by $D^2$.



                  Note that the derivative is a linear operator, so for
                  $p,q in V$ and $a, b in mathbb R$, you have $$ T(a p(x)+ b q(x)) = x^2 D^2 (ap(x)+bq(x)) = a x^2 D^2 p(x) + b x^2 D^2 q(x) = a Tp(x) + bTq(x),$$
                  and $T$ is a linear operator.



                  To find the kernel, you should determine for which $pin V$ you have
                  $$ Tp(x) = x^2 D^2 p(x) = 0 quad iff quad D^2p(x) = 0. $$
                  Note that this can be solved by simply integrating twice.



                  To find the range, you should check for which $q in V$, there is a $p in V$ such that
                  $$ Tp(x) = q(x) quad iff quad x^2 D^2p(x) = q(x). $$
                  Note that $q$ is a polynomial and that the solution $p$ to this equation should be a polynomial.






                  share|cite|improve this answer




























                    1














                    Let me denote the operator by $T$, and the second derivative by $D^2$.



                    Note that the derivative is a linear operator, so for
                    $p,q in V$ and $a, b in mathbb R$, you have $$ T(a p(x)+ b q(x)) = x^2 D^2 (ap(x)+bq(x)) = a x^2 D^2 p(x) + b x^2 D^2 q(x) = a Tp(x) + bTq(x),$$
                    and $T$ is a linear operator.



                    To find the kernel, you should determine for which $pin V$ you have
                    $$ Tp(x) = x^2 D^2 p(x) = 0 quad iff quad D^2p(x) = 0. $$
                    Note that this can be solved by simply integrating twice.



                    To find the range, you should check for which $q in V$, there is a $p in V$ such that
                    $$ Tp(x) = q(x) quad iff quad x^2 D^2p(x) = q(x). $$
                    Note that $q$ is a polynomial and that the solution $p$ to this equation should be a polynomial.






                    share|cite|improve this answer


























                      1












                      1








                      1






                      Let me denote the operator by $T$, and the second derivative by $D^2$.



                      Note that the derivative is a linear operator, so for
                      $p,q in V$ and $a, b in mathbb R$, you have $$ T(a p(x)+ b q(x)) = x^2 D^2 (ap(x)+bq(x)) = a x^2 D^2 p(x) + b x^2 D^2 q(x) = a Tp(x) + bTq(x),$$
                      and $T$ is a linear operator.



                      To find the kernel, you should determine for which $pin V$ you have
                      $$ Tp(x) = x^2 D^2 p(x) = 0 quad iff quad D^2p(x) = 0. $$
                      Note that this can be solved by simply integrating twice.



                      To find the range, you should check for which $q in V$, there is a $p in V$ such that
                      $$ Tp(x) = q(x) quad iff quad x^2 D^2p(x) = q(x). $$
                      Note that $q$ is a polynomial and that the solution $p$ to this equation should be a polynomial.






                      share|cite|improve this answer














                      Let me denote the operator by $T$, and the second derivative by $D^2$.



                      Note that the derivative is a linear operator, so for
                      $p,q in V$ and $a, b in mathbb R$, you have $$ T(a p(x)+ b q(x)) = x^2 D^2 (ap(x)+bq(x)) = a x^2 D^2 p(x) + b x^2 D^2 q(x) = a Tp(x) + bTq(x),$$
                      and $T$ is a linear operator.



                      To find the kernel, you should determine for which $pin V$ you have
                      $$ Tp(x) = x^2 D^2 p(x) = 0 quad iff quad D^2p(x) = 0. $$
                      Note that this can be solved by simply integrating twice.



                      To find the range, you should check for which $q in V$, there is a $p in V$ such that
                      $$ Tp(x) = q(x) quad iff quad x^2 D^2p(x) = q(x). $$
                      Note that $q$ is a polynomial and that the solution $p$ to this equation should be a polynomial.







                      share|cite|improve this answer














                      share|cite|improve this answer



                      share|cite|improve this answer








                      edited 2 hours ago

























                      answered 2 hours ago









                      MisterRiemann

                      5,7791624




                      5,7791624























                          1














                          Note that both $pmapsto dp/dx$ and $pmapsto xcdot p$ are $Bbb R$-linear maps, and $f$ is a composition of these maps.



                          For the kernel, we have $f(p)=0$ iff $d^2p/dx^2=0$, i.e. iff $p$ is at most linear.



                          For the range, we have $q=f(p)$ iff $q$ is divisible by $x^2$, i.e. has zero constant term and zero coefficient for $x$.



                          For the eigenvectors, write $p=a_0+a_1x+dots +a_nx^n$.






                          share|cite|improve this answer


























                            1














                            Note that both $pmapsto dp/dx$ and $pmapsto xcdot p$ are $Bbb R$-linear maps, and $f$ is a composition of these maps.



                            For the kernel, we have $f(p)=0$ iff $d^2p/dx^2=0$, i.e. iff $p$ is at most linear.



                            For the range, we have $q=f(p)$ iff $q$ is divisible by $x^2$, i.e. has zero constant term and zero coefficient for $x$.



                            For the eigenvectors, write $p=a_0+a_1x+dots +a_nx^n$.






                            share|cite|improve this answer
























                              1












                              1








                              1






                              Note that both $pmapsto dp/dx$ and $pmapsto xcdot p$ are $Bbb R$-linear maps, and $f$ is a composition of these maps.



                              For the kernel, we have $f(p)=0$ iff $d^2p/dx^2=0$, i.e. iff $p$ is at most linear.



                              For the range, we have $q=f(p)$ iff $q$ is divisible by $x^2$, i.e. has zero constant term and zero coefficient for $x$.



                              For the eigenvectors, write $p=a_0+a_1x+dots +a_nx^n$.






                              share|cite|improve this answer












                              Note that both $pmapsto dp/dx$ and $pmapsto xcdot p$ are $Bbb R$-linear maps, and $f$ is a composition of these maps.



                              For the kernel, we have $f(p)=0$ iff $d^2p/dx^2=0$, i.e. iff $p$ is at most linear.



                              For the range, we have $q=f(p)$ iff $q$ is divisible by $x^2$, i.e. has zero constant term and zero coefficient for $x$.



                              For the eigenvectors, write $p=a_0+a_1x+dots +a_nx^n$.







                              share|cite|improve this answer












                              share|cite|improve this answer



                              share|cite|improve this answer










                              answered 2 hours ago









                              Berci

                              59.6k23672




                              59.6k23672























                                  0














                                  One way to view vectors in this space is to convert each polynomial into a column vector filled with its coefficients, so the first component is the constant of the polynomial, the second component is the coefficient for the $x$ term, the third component is the coefficient for the $x^2$ term, and so on. So multiplying by $x^2$ basically just shifts each coefficient down two components and fills the first two components with 0's, which is a linear transformation $T(v)$ because $T(av+bw)=a(T(v)+b(T(w))$ for constants $a,b$ and vectors $v,w$.



                                  The kernel is just all polynomials which map to the $0$ vector after the transformation. The "multiplying by $x^2$" part will never produce a $0$ vector unless $p(x)$ is the $0$ vector, so the second derivative of $p(x)$ has to be 0. Therefore the kernel of the given transformation is the set of all polynomials of degree 1, so polynomials of the form $a+bx$ for constants $a,b$.



                                  Now, the range of the transformation is every polynomial which can be obtained through the transformation. The zero vector is included, since the kernel is non-empty. The other polynomials possible are any polynomial of degree at least 2 because we multiply by $x^2$ after the derivative.






                                  share|cite|improve this answer


























                                    0














                                    One way to view vectors in this space is to convert each polynomial into a column vector filled with its coefficients, so the first component is the constant of the polynomial, the second component is the coefficient for the $x$ term, the third component is the coefficient for the $x^2$ term, and so on. So multiplying by $x^2$ basically just shifts each coefficient down two components and fills the first two components with 0's, which is a linear transformation $T(v)$ because $T(av+bw)=a(T(v)+b(T(w))$ for constants $a,b$ and vectors $v,w$.



                                    The kernel is just all polynomials which map to the $0$ vector after the transformation. The "multiplying by $x^2$" part will never produce a $0$ vector unless $p(x)$ is the $0$ vector, so the second derivative of $p(x)$ has to be 0. Therefore the kernel of the given transformation is the set of all polynomials of degree 1, so polynomials of the form $a+bx$ for constants $a,b$.



                                    Now, the range of the transformation is every polynomial which can be obtained through the transformation. The zero vector is included, since the kernel is non-empty. The other polynomials possible are any polynomial of degree at least 2 because we multiply by $x^2$ after the derivative.






                                    share|cite|improve this answer
























                                      0












                                      0








                                      0






                                      One way to view vectors in this space is to convert each polynomial into a column vector filled with its coefficients, so the first component is the constant of the polynomial, the second component is the coefficient for the $x$ term, the third component is the coefficient for the $x^2$ term, and so on. So multiplying by $x^2$ basically just shifts each coefficient down two components and fills the first two components with 0's, which is a linear transformation $T(v)$ because $T(av+bw)=a(T(v)+b(T(w))$ for constants $a,b$ and vectors $v,w$.



                                      The kernel is just all polynomials which map to the $0$ vector after the transformation. The "multiplying by $x^2$" part will never produce a $0$ vector unless $p(x)$ is the $0$ vector, so the second derivative of $p(x)$ has to be 0. Therefore the kernel of the given transformation is the set of all polynomials of degree 1, so polynomials of the form $a+bx$ for constants $a,b$.



                                      Now, the range of the transformation is every polynomial which can be obtained through the transformation. The zero vector is included, since the kernel is non-empty. The other polynomials possible are any polynomial of degree at least 2 because we multiply by $x^2$ after the derivative.






                                      share|cite|improve this answer












                                      One way to view vectors in this space is to convert each polynomial into a column vector filled with its coefficients, so the first component is the constant of the polynomial, the second component is the coefficient for the $x$ term, the third component is the coefficient for the $x^2$ term, and so on. So multiplying by $x^2$ basically just shifts each coefficient down two components and fills the first two components with 0's, which is a linear transformation $T(v)$ because $T(av+bw)=a(T(v)+b(T(w))$ for constants $a,b$ and vectors $v,w$.



                                      The kernel is just all polynomials which map to the $0$ vector after the transformation. The "multiplying by $x^2$" part will never produce a $0$ vector unless $p(x)$ is the $0$ vector, so the second derivative of $p(x)$ has to be 0. Therefore the kernel of the given transformation is the set of all polynomials of degree 1, so polynomials of the form $a+bx$ for constants $a,b$.



                                      Now, the range of the transformation is every polynomial which can be obtained through the transformation. The zero vector is included, since the kernel is non-empty. The other polynomials possible are any polynomial of degree at least 2 because we multiply by $x^2$ after the derivative.







                                      share|cite|improve this answer












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                                      share|cite|improve this answer










                                      answered 1 hour ago









                                      legendariers

                                      165




                                      165






























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