span density of shift operator

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Let $mathcalH$ be a Hilbert space with complete orthonormal basis $ nin mathbbN$. Let $R$ be the shift operator on $mathcalH$ defined by $R(e_n)=e_n+1$, and extended by linearity and continuity. Show that there exists no $xin mathcalH$, such that $textspanR^2n(x)$ is dense in $mathcalH$.



Assuming the contrary, we get a $xin mathcalH$ such that $R^2n(x)$ is spanned over $mathcalH$ for some $ngeq 0$, i.e. $R^2n(x)=c_1e_1+c_2e_2+dots +c_ne_n$ for all $c_iin mathbbR$. Taking $R$ operated on both sides, $R^2n+1(x)=c_1R(e_1)+c_2R(e_2)+dots +c_nR(e_n)=c_1e_2+c_2e_3+dots +c_ne_n+1$, since $R$ is extended by linearity. Proceeding as above, after $n$-times we get, $R^3n(x)=c_1e_n+1+c_2e_n+2+dots +c_ne_2n$. But from here, I'm unable to figure out what to do, specially how to use the fact that $R$ is extended by continuity, and all $e_i$'s are orthonormal. How can I bring the contradiction by the above process?







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    Let $mathcalH$ be a Hilbert space with complete orthonormal basis $ nin mathbbN$. Let $R$ be the shift operator on $mathcalH$ defined by $R(e_n)=e_n+1$, and extended by linearity and continuity. Show that there exists no $xin mathcalH$, such that $textspanR^2n(x)$ is dense in $mathcalH$.



    Assuming the contrary, we get a $xin mathcalH$ such that $R^2n(x)$ is spanned over $mathcalH$ for some $ngeq 0$, i.e. $R^2n(x)=c_1e_1+c_2e_2+dots +c_ne_n$ for all $c_iin mathbbR$. Taking $R$ operated on both sides, $R^2n+1(x)=c_1R(e_1)+c_2R(e_2)+dots +c_nR(e_n)=c_1e_2+c_2e_3+dots +c_ne_n+1$, since $R$ is extended by linearity. Proceeding as above, after $n$-times we get, $R^3n(x)=c_1e_n+1+c_2e_n+2+dots +c_ne_2n$. But from here, I'm unable to figure out what to do, specially how to use the fact that $R$ is extended by continuity, and all $e_i$'s are orthonormal. How can I bring the contradiction by the above process?







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      Let $mathcalH$ be a Hilbert space with complete orthonormal basis $ nin mathbbN$. Let $R$ be the shift operator on $mathcalH$ defined by $R(e_n)=e_n+1$, and extended by linearity and continuity. Show that there exists no $xin mathcalH$, such that $textspanR^2n(x)$ is dense in $mathcalH$.



      Assuming the contrary, we get a $xin mathcalH$ such that $R^2n(x)$ is spanned over $mathcalH$ for some $ngeq 0$, i.e. $R^2n(x)=c_1e_1+c_2e_2+dots +c_ne_n$ for all $c_iin mathbbR$. Taking $R$ operated on both sides, $R^2n+1(x)=c_1R(e_1)+c_2R(e_2)+dots +c_nR(e_n)=c_1e_2+c_2e_3+dots +c_ne_n+1$, since $R$ is extended by linearity. Proceeding as above, after $n$-times we get, $R^3n(x)=c_1e_n+1+c_2e_n+2+dots +c_ne_2n$. But from here, I'm unable to figure out what to do, specially how to use the fact that $R$ is extended by continuity, and all $e_i$'s are orthonormal. How can I bring the contradiction by the above process?







      share|cite|improve this question











      Let $mathcalH$ be a Hilbert space with complete orthonormal basis $ nin mathbbN$. Let $R$ be the shift operator on $mathcalH$ defined by $R(e_n)=e_n+1$, and extended by linearity and continuity. Show that there exists no $xin mathcalH$, such that $textspanR^2n(x)$ is dense in $mathcalH$.



      Assuming the contrary, we get a $xin mathcalH$ such that $R^2n(x)$ is spanned over $mathcalH$ for some $ngeq 0$, i.e. $R^2n(x)=c_1e_1+c_2e_2+dots +c_ne_n$ for all $c_iin mathbbR$. Taking $R$ operated on both sides, $R^2n+1(x)=c_1R(e_1)+c_2R(e_2)+dots +c_nR(e_n)=c_1e_2+c_2e_3+dots +c_ne_n+1$, since $R$ is extended by linearity. Proceeding as above, after $n$-times we get, $R^3n(x)=c_1e_n+1+c_2e_n+2+dots +c_ne_2n$. But from here, I'm unable to figure out what to do, specially how to use the fact that $R$ is extended by continuity, and all $e_i$'s are orthonormal. How can I bring the contradiction by the above process?









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      asked Jul 27 at 17:42









      am_11235...

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          I have no idea why you bring the power $2n+1$ and $3n$; you only care about the even powers here.



          If you write $x=sum_j x_je_j$ and you consider a linear combination $z=sum_n=0^k c_nR^2nx$, you have
          $$
          z=sum_n=0^k c_nsum_j x_j e_j+2n=sum_jsum_n=0^kc_nx_je_j+2n.
          $$
          Let us simply consider what happens with the coefficients of $e_1$ and $e_2$. Those guys can only appear when $n=0$. So the series begins with
          $$
          z=c_0x_1e_1+c_0x_2e_2+cdots
          $$
          For any $y=y_1e_1+y_2e_2+cdots$, we have $$|y-z|^2geq|y_1-c_0x_1|^2+|y_2-c_0x_2|^2.$$ If for instance we take $y_1=x_1$, $x_2=-x_2$, then
          $$
          |y-z|^2geq|1-c_0|^2|x_1|^2+|1+c_0|^2|x_2|^2.
          $$
          Let $r=minx_2$. If $r>0$, we have
          $$
          |y-z|^2geq r,(|1-c_0|^2+|1+c_0|^2)=2r(1+|c_0|^2)geq 2r,
          $$
          and the distance cannot be arbitrarily small. If $r=0$, say $x_1=0$, then $|e_1-z|^2geq1$; and similarly, if $x_2=0$, then $e_2-z|^2geq1$.



          Note that the above estimates work for any choice of $c_0$, so it works for any linear combination of $x,R^2x,R^4x,ldots$






          share|cite|improve this answer




























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            Let $x in H, x ne 0$ and let $n in mathbbN$ be the smallest number such that $langle x, e_2n-1rangle ne 0$.



            Consider $y = langle x, e_2nrangle e_2n-1- langle x, e_2n-1rangle e_2n$. Clearly $y ne 0$.



            For $k = 0$ we have $langle y, xrangle = 0$ and for $k ge 1$ we have $R^2n(x) in operatornamespane_k_k ge 2n+1$ so again $langle y, xrangle = 0$.



            Therefore $y perp R^2n(x) : n ge 0$ so it cannot be dense in $H$.






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              2 Answers
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              2 Answers
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              active

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              up vote
              0
              down vote













              I have no idea why you bring the power $2n+1$ and $3n$; you only care about the even powers here.



              If you write $x=sum_j x_je_j$ and you consider a linear combination $z=sum_n=0^k c_nR^2nx$, you have
              $$
              z=sum_n=0^k c_nsum_j x_j e_j+2n=sum_jsum_n=0^kc_nx_je_j+2n.
              $$
              Let us simply consider what happens with the coefficients of $e_1$ and $e_2$. Those guys can only appear when $n=0$. So the series begins with
              $$
              z=c_0x_1e_1+c_0x_2e_2+cdots
              $$
              For any $y=y_1e_1+y_2e_2+cdots$, we have $$|y-z|^2geq|y_1-c_0x_1|^2+|y_2-c_0x_2|^2.$$ If for instance we take $y_1=x_1$, $x_2=-x_2$, then
              $$
              |y-z|^2geq|1-c_0|^2|x_1|^2+|1+c_0|^2|x_2|^2.
              $$
              Let $r=minx_2$. If $r>0$, we have
              $$
              |y-z|^2geq r,(|1-c_0|^2+|1+c_0|^2)=2r(1+|c_0|^2)geq 2r,
              $$
              and the distance cannot be arbitrarily small. If $r=0$, say $x_1=0$, then $|e_1-z|^2geq1$; and similarly, if $x_2=0$, then $e_2-z|^2geq1$.



              Note that the above estimates work for any choice of $c_0$, so it works for any linear combination of $x,R^2x,R^4x,ldots$






              share|cite|improve this answer

























                up vote
                0
                down vote













                I have no idea why you bring the power $2n+1$ and $3n$; you only care about the even powers here.



                If you write $x=sum_j x_je_j$ and you consider a linear combination $z=sum_n=0^k c_nR^2nx$, you have
                $$
                z=sum_n=0^k c_nsum_j x_j e_j+2n=sum_jsum_n=0^kc_nx_je_j+2n.
                $$
                Let us simply consider what happens with the coefficients of $e_1$ and $e_2$. Those guys can only appear when $n=0$. So the series begins with
                $$
                z=c_0x_1e_1+c_0x_2e_2+cdots
                $$
                For any $y=y_1e_1+y_2e_2+cdots$, we have $$|y-z|^2geq|y_1-c_0x_1|^2+|y_2-c_0x_2|^2.$$ If for instance we take $y_1=x_1$, $x_2=-x_2$, then
                $$
                |y-z|^2geq|1-c_0|^2|x_1|^2+|1+c_0|^2|x_2|^2.
                $$
                Let $r=minx_2$. If $r>0$, we have
                $$
                |y-z|^2geq r,(|1-c_0|^2+|1+c_0|^2)=2r(1+|c_0|^2)geq 2r,
                $$
                and the distance cannot be arbitrarily small. If $r=0$, say $x_1=0$, then $|e_1-z|^2geq1$; and similarly, if $x_2=0$, then $e_2-z|^2geq1$.



                Note that the above estimates work for any choice of $c_0$, so it works for any linear combination of $x,R^2x,R^4x,ldots$






                share|cite|improve this answer























                  up vote
                  0
                  down vote










                  up vote
                  0
                  down vote









                  I have no idea why you bring the power $2n+1$ and $3n$; you only care about the even powers here.



                  If you write $x=sum_j x_je_j$ and you consider a linear combination $z=sum_n=0^k c_nR^2nx$, you have
                  $$
                  z=sum_n=0^k c_nsum_j x_j e_j+2n=sum_jsum_n=0^kc_nx_je_j+2n.
                  $$
                  Let us simply consider what happens with the coefficients of $e_1$ and $e_2$. Those guys can only appear when $n=0$. So the series begins with
                  $$
                  z=c_0x_1e_1+c_0x_2e_2+cdots
                  $$
                  For any $y=y_1e_1+y_2e_2+cdots$, we have $$|y-z|^2geq|y_1-c_0x_1|^2+|y_2-c_0x_2|^2.$$ If for instance we take $y_1=x_1$, $x_2=-x_2$, then
                  $$
                  |y-z|^2geq|1-c_0|^2|x_1|^2+|1+c_0|^2|x_2|^2.
                  $$
                  Let $r=minx_2$. If $r>0$, we have
                  $$
                  |y-z|^2geq r,(|1-c_0|^2+|1+c_0|^2)=2r(1+|c_0|^2)geq 2r,
                  $$
                  and the distance cannot be arbitrarily small. If $r=0$, say $x_1=0$, then $|e_1-z|^2geq1$; and similarly, if $x_2=0$, then $e_2-z|^2geq1$.



                  Note that the above estimates work for any choice of $c_0$, so it works for any linear combination of $x,R^2x,R^4x,ldots$






                  share|cite|improve this answer













                  I have no idea why you bring the power $2n+1$ and $3n$; you only care about the even powers here.



                  If you write $x=sum_j x_je_j$ and you consider a linear combination $z=sum_n=0^k c_nR^2nx$, you have
                  $$
                  z=sum_n=0^k c_nsum_j x_j e_j+2n=sum_jsum_n=0^kc_nx_je_j+2n.
                  $$
                  Let us simply consider what happens with the coefficients of $e_1$ and $e_2$. Those guys can only appear when $n=0$. So the series begins with
                  $$
                  z=c_0x_1e_1+c_0x_2e_2+cdots
                  $$
                  For any $y=y_1e_1+y_2e_2+cdots$, we have $$|y-z|^2geq|y_1-c_0x_1|^2+|y_2-c_0x_2|^2.$$ If for instance we take $y_1=x_1$, $x_2=-x_2$, then
                  $$
                  |y-z|^2geq|1-c_0|^2|x_1|^2+|1+c_0|^2|x_2|^2.
                  $$
                  Let $r=minx_2$. If $r>0$, we have
                  $$
                  |y-z|^2geq r,(|1-c_0|^2+|1+c_0|^2)=2r(1+|c_0|^2)geq 2r,
                  $$
                  and the distance cannot be arbitrarily small. If $r=0$, say $x_1=0$, then $|e_1-z|^2geq1$; and similarly, if $x_2=0$, then $e_2-z|^2geq1$.



                  Note that the above estimates work for any choice of $c_0$, so it works for any linear combination of $x,R^2x,R^4x,ldots$







                  share|cite|improve this answer













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                  answered Jul 27 at 18:14









                  Martin Argerami

                  115k1071164




                  115k1071164




















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                      Let $x in H, x ne 0$ and let $n in mathbbN$ be the smallest number such that $langle x, e_2n-1rangle ne 0$.



                      Consider $y = langle x, e_2nrangle e_2n-1- langle x, e_2n-1rangle e_2n$. Clearly $y ne 0$.



                      For $k = 0$ we have $langle y, xrangle = 0$ and for $k ge 1$ we have $R^2n(x) in operatornamespane_k_k ge 2n+1$ so again $langle y, xrangle = 0$.



                      Therefore $y perp R^2n(x) : n ge 0$ so it cannot be dense in $H$.






                      share|cite|improve this answer

























                        up vote
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                        down vote













                        Let $x in H, x ne 0$ and let $n in mathbbN$ be the smallest number such that $langle x, e_2n-1rangle ne 0$.



                        Consider $y = langle x, e_2nrangle e_2n-1- langle x, e_2n-1rangle e_2n$. Clearly $y ne 0$.



                        For $k = 0$ we have $langle y, xrangle = 0$ and for $k ge 1$ we have $R^2n(x) in operatornamespane_k_k ge 2n+1$ so again $langle y, xrangle = 0$.



                        Therefore $y perp R^2n(x) : n ge 0$ so it cannot be dense in $H$.






                        share|cite|improve this answer























                          up vote
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                          up vote
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                          down vote









                          Let $x in H, x ne 0$ and let $n in mathbbN$ be the smallest number such that $langle x, e_2n-1rangle ne 0$.



                          Consider $y = langle x, e_2nrangle e_2n-1- langle x, e_2n-1rangle e_2n$. Clearly $y ne 0$.



                          For $k = 0$ we have $langle y, xrangle = 0$ and for $k ge 1$ we have $R^2n(x) in operatornamespane_k_k ge 2n+1$ so again $langle y, xrangle = 0$.



                          Therefore $y perp R^2n(x) : n ge 0$ so it cannot be dense in $H$.






                          share|cite|improve this answer













                          Let $x in H, x ne 0$ and let $n in mathbbN$ be the smallest number such that $langle x, e_2n-1rangle ne 0$.



                          Consider $y = langle x, e_2nrangle e_2n-1- langle x, e_2n-1rangle e_2n$. Clearly $y ne 0$.



                          For $k = 0$ we have $langle y, xrangle = 0$ and for $k ge 1$ we have $R^2n(x) in operatornamespane_k_k ge 2n+1$ so again $langle y, xrangle = 0$.



                          Therefore $y perp R^2n(x) : n ge 0$ so it cannot be dense in $H$.







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                          answered Jul 27 at 22:05









                          mechanodroid

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