Eigenvalues of Operator on $L^{2}[0, 1]$












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Let $X=L^{2}[0, 1]$ and $$Ax(t)=int_{0}^{1}{ts(1-ts)x(s)}ds.$$ I have shown that this operator is compact, hence all non-zero elements of the spectrum $sigma(A)$ are eigenvalues of $A$. But then I am stuck to find the eigenvalues in order to find the spectrum, i.e. all $lambda ne 0$ such that $$int_{0}^{1}{ts(1-ts)x(s)}ds=lambda x(t).$$ Can someone help?










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  • 1




    $begingroup$
    Note that $Ax$ is always a quadratic function without constant terms. In particular eigenfunctions must also have this form.
    $endgroup$
    – Hans Engler
    Dec 17 '18 at 15:09


















3












$begingroup$


Let $X=L^{2}[0, 1]$ and $$Ax(t)=int_{0}^{1}{ts(1-ts)x(s)}ds.$$ I have shown that this operator is compact, hence all non-zero elements of the spectrum $sigma(A)$ are eigenvalues of $A$. But then I am stuck to find the eigenvalues in order to find the spectrum, i.e. all $lambda ne 0$ such that $$int_{0}^{1}{ts(1-ts)x(s)}ds=lambda x(t).$$ Can someone help?










share|cite|improve this question









$endgroup$








  • 1




    $begingroup$
    Note that $Ax$ is always a quadratic function without constant terms. In particular eigenfunctions must also have this form.
    $endgroup$
    – Hans Engler
    Dec 17 '18 at 15:09
















3












3








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$begingroup$


Let $X=L^{2}[0, 1]$ and $$Ax(t)=int_{0}^{1}{ts(1-ts)x(s)}ds.$$ I have shown that this operator is compact, hence all non-zero elements of the spectrum $sigma(A)$ are eigenvalues of $A$. But then I am stuck to find the eigenvalues in order to find the spectrum, i.e. all $lambda ne 0$ such that $$int_{0}^{1}{ts(1-ts)x(s)}ds=lambda x(t).$$ Can someone help?










share|cite|improve this question









$endgroup$




Let $X=L^{2}[0, 1]$ and $$Ax(t)=int_{0}^{1}{ts(1-ts)x(s)}ds.$$ I have shown that this operator is compact, hence all non-zero elements of the spectrum $sigma(A)$ are eigenvalues of $A$. But then I am stuck to find the eigenvalues in order to find the spectrum, i.e. all $lambda ne 0$ such that $$int_{0}^{1}{ts(1-ts)x(s)}ds=lambda x(t).$$ Can someone help?







functional-analysis eigenvalues-eigenvectors operator-theory






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asked Dec 17 '18 at 14:57









ShaqAttack1337ShaqAttack1337

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  • 1




    $begingroup$
    Note that $Ax$ is always a quadratic function without constant terms. In particular eigenfunctions must also have this form.
    $endgroup$
    – Hans Engler
    Dec 17 '18 at 15:09
















  • 1




    $begingroup$
    Note that $Ax$ is always a quadratic function without constant terms. In particular eigenfunctions must also have this form.
    $endgroup$
    – Hans Engler
    Dec 17 '18 at 15:09










1




1




$begingroup$
Note that $Ax$ is always a quadratic function without constant terms. In particular eigenfunctions must also have this form.
$endgroup$
– Hans Engler
Dec 17 '18 at 15:09






$begingroup$
Note that $Ax$ is always a quadratic function without constant terms. In particular eigenfunctions must also have this form.
$endgroup$
– Hans Engler
Dec 17 '18 at 15:09












2 Answers
2






active

oldest

votes


















5












$begingroup$

Old, Naive, Too Complicated Solution.



Suppose that $x$ is an eigenfunction of $A$ w/ eigenvalue $lambda$. That is,
$$lambda x(t)=Ax(t)=int_0^1 ts(1-ts)x(s) ds.$$

See a remark in the comment section below that proves differentiability of $x$. Note that
$$lambda x'(t)=int_0^1 s(1-ts)x(s) ds-tint_0^1s^2x(s) ds.$$
That is,
$$lambda t x'(t)=lambda x(t)-t^2gamma(x)tag{1}$$
where $gamma:L^2[0,1]to Bbb C$ is given by $gamma(x)=int_0^1 s^2 x(s) ds$.



Observe that the eigenspace with the eigenvalue $0$ is given by
$$ker A=left{xin L^2[0,1]:int_0^1sx(s) ds=0wedge int_0^1s^2x(s) ds=0right}.$$
From now on suppose that $lambdane 0$.



From (1), we get
$$frac{d}{dt}frac{x(t)}{t}=-frac{1}{lambda}gamma(x).$$
Therefore,
$$frac{x(t)}{t}=C-frac{t}{lambda}gamma(x)$$
or
$$x(t)=Ct-frac{t^2}{lambda}gamma(x).$$
Since $gamma(x)=int_0^1s^2x(s) ds$, we need
$$gamma(x)=int_0^1s^2left(Cs-frac{s^2}{lambda}gamma(x)right) ds.$$
So
$$gamma(x)=frac{C}{4}-frac{1}{5lambda}gamma(x)implies C=left(4+frac4{5lambda}right)gamma(x).$$
Hence,
$$x(t)=gamma(x)Biggl(left(4+frac4{5lambda}right){t}-frac{t^2}{lambda}Biggr).tag{2}$$
Therefore, the eigenspace of $A$ w/ eigenvalue $lambda ne 0$ is a subspace of the span of
$$x_lambda(t)=left(4+frac4{5lambda}right){t}-frac{t^2}{lambda}.$$
Plugging this into $lambda x_lambda (t)=Ax_lambda (t)$, it turns out that $lambda$ must satisfy
$$lambdaleft(4+frac{4}{5lambda}right)=frac{frac{1}{lambda}+80}{60}.$$ That is, $lambda=frac{4pmsqrt{31}}{61}$.





Simpler Solution.



Suppose that $x$ is an eigenfunction of $A$ w/ eigenvalue $lambdaneq 0$. Then,
$$x(t)=frac{Ax(t)}{lambda}=left(frac{int_0^1 sx(s) ds}{lambda}right)t+left(-frac{int_0^1s^2x(s) ds}{lambda}right)t^2.$$
That is, $x(t)=at+bt^2$ for some constants $a,b$. Plugging this into $lambda x=Ax$, we get
$$lambda(at+bt^2)=left(frac{a}{3}+frac{b}{4}right) t +left(-frac{a}{4}-frac{b}{5}right)t^2.$$
Hence,
$$frac{a}{3}+frac{b}{4}=lambda awedge -frac{a}{4}-frac{b}{5}=lambda b.$$
So $lambda$ is an eigenvalue of the matrix
$$begin{pmatrix}frac13 & frac14\ -frac14 &-frac15end{pmatrix},$$ which means $lambda=frac{4pmsqrt{31}}{60}$.






share|cite|improve this answer











$endgroup$













  • $begingroup$
    I think the spectrum here has to be at most countable...how does that fit together?
    $endgroup$
    – ShaqAttack1337
    Dec 17 '18 at 15:48












  • $begingroup$
    @ShaqAttack1337 I forgot to verify which $lambda$ gives the right result.
    $endgroup$
    – user593746
    Dec 17 '18 at 16:05










  • $begingroup$
    Thank you for your answer!
    $endgroup$
    – ShaqAttack1337
    Dec 17 '18 at 16:14










  • $begingroup$
    +1, but you need to justify that the eigenfunctions are necessarily differentiable.
    $endgroup$
    – Martin Argerami
    Dec 17 '18 at 23:22






  • 1




    $begingroup$
    @MartinArgerami That is because $Ax(t)$ is a polynomial in $t$, so it is differentiable. Hence if $x$ is an eigenfunction of $A$ with non-zero eig.value, then $x$ is differentiable. Thanks for the remark, and I have added a remark in my answer.
    $endgroup$
    – user593746
    Dec 18 '18 at 14:05





















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$begingroup$

Here is how I would approach this question: Keep differentiating both sides with respect to $t$ until you reach zero on one side. This will show that an eigenfunction has to be a polynomial of a certain degree. Work out the equations for the coefficients of that polynomial from the equation we got so far…



By the way: This operator seems to have a pretty large null space.






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    2 Answers
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    2 Answers
    2






    active

    oldest

    votes









    active

    oldest

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    active

    oldest

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    5












    $begingroup$

    Old, Naive, Too Complicated Solution.



    Suppose that $x$ is an eigenfunction of $A$ w/ eigenvalue $lambda$. That is,
    $$lambda x(t)=Ax(t)=int_0^1 ts(1-ts)x(s) ds.$$

    See a remark in the comment section below that proves differentiability of $x$. Note that
    $$lambda x'(t)=int_0^1 s(1-ts)x(s) ds-tint_0^1s^2x(s) ds.$$
    That is,
    $$lambda t x'(t)=lambda x(t)-t^2gamma(x)tag{1}$$
    where $gamma:L^2[0,1]to Bbb C$ is given by $gamma(x)=int_0^1 s^2 x(s) ds$.



    Observe that the eigenspace with the eigenvalue $0$ is given by
    $$ker A=left{xin L^2[0,1]:int_0^1sx(s) ds=0wedge int_0^1s^2x(s) ds=0right}.$$
    From now on suppose that $lambdane 0$.



    From (1), we get
    $$frac{d}{dt}frac{x(t)}{t}=-frac{1}{lambda}gamma(x).$$
    Therefore,
    $$frac{x(t)}{t}=C-frac{t}{lambda}gamma(x)$$
    or
    $$x(t)=Ct-frac{t^2}{lambda}gamma(x).$$
    Since $gamma(x)=int_0^1s^2x(s) ds$, we need
    $$gamma(x)=int_0^1s^2left(Cs-frac{s^2}{lambda}gamma(x)right) ds.$$
    So
    $$gamma(x)=frac{C}{4}-frac{1}{5lambda}gamma(x)implies C=left(4+frac4{5lambda}right)gamma(x).$$
    Hence,
    $$x(t)=gamma(x)Biggl(left(4+frac4{5lambda}right){t}-frac{t^2}{lambda}Biggr).tag{2}$$
    Therefore, the eigenspace of $A$ w/ eigenvalue $lambda ne 0$ is a subspace of the span of
    $$x_lambda(t)=left(4+frac4{5lambda}right){t}-frac{t^2}{lambda}.$$
    Plugging this into $lambda x_lambda (t)=Ax_lambda (t)$, it turns out that $lambda$ must satisfy
    $$lambdaleft(4+frac{4}{5lambda}right)=frac{frac{1}{lambda}+80}{60}.$$ That is, $lambda=frac{4pmsqrt{31}}{61}$.





    Simpler Solution.



    Suppose that $x$ is an eigenfunction of $A$ w/ eigenvalue $lambdaneq 0$. Then,
    $$x(t)=frac{Ax(t)}{lambda}=left(frac{int_0^1 sx(s) ds}{lambda}right)t+left(-frac{int_0^1s^2x(s) ds}{lambda}right)t^2.$$
    That is, $x(t)=at+bt^2$ for some constants $a,b$. Plugging this into $lambda x=Ax$, we get
    $$lambda(at+bt^2)=left(frac{a}{3}+frac{b}{4}right) t +left(-frac{a}{4}-frac{b}{5}right)t^2.$$
    Hence,
    $$frac{a}{3}+frac{b}{4}=lambda awedge -frac{a}{4}-frac{b}{5}=lambda b.$$
    So $lambda$ is an eigenvalue of the matrix
    $$begin{pmatrix}frac13 & frac14\ -frac14 &-frac15end{pmatrix},$$ which means $lambda=frac{4pmsqrt{31}}{60}$.






    share|cite|improve this answer











    $endgroup$













    • $begingroup$
      I think the spectrum here has to be at most countable...how does that fit together?
      $endgroup$
      – ShaqAttack1337
      Dec 17 '18 at 15:48












    • $begingroup$
      @ShaqAttack1337 I forgot to verify which $lambda$ gives the right result.
      $endgroup$
      – user593746
      Dec 17 '18 at 16:05










    • $begingroup$
      Thank you for your answer!
      $endgroup$
      – ShaqAttack1337
      Dec 17 '18 at 16:14










    • $begingroup$
      +1, but you need to justify that the eigenfunctions are necessarily differentiable.
      $endgroup$
      – Martin Argerami
      Dec 17 '18 at 23:22






    • 1




      $begingroup$
      @MartinArgerami That is because $Ax(t)$ is a polynomial in $t$, so it is differentiable. Hence if $x$ is an eigenfunction of $A$ with non-zero eig.value, then $x$ is differentiable. Thanks for the remark, and I have added a remark in my answer.
      $endgroup$
      – user593746
      Dec 18 '18 at 14:05


















    5












    $begingroup$

    Old, Naive, Too Complicated Solution.



    Suppose that $x$ is an eigenfunction of $A$ w/ eigenvalue $lambda$. That is,
    $$lambda x(t)=Ax(t)=int_0^1 ts(1-ts)x(s) ds.$$

    See a remark in the comment section below that proves differentiability of $x$. Note that
    $$lambda x'(t)=int_0^1 s(1-ts)x(s) ds-tint_0^1s^2x(s) ds.$$
    That is,
    $$lambda t x'(t)=lambda x(t)-t^2gamma(x)tag{1}$$
    where $gamma:L^2[0,1]to Bbb C$ is given by $gamma(x)=int_0^1 s^2 x(s) ds$.



    Observe that the eigenspace with the eigenvalue $0$ is given by
    $$ker A=left{xin L^2[0,1]:int_0^1sx(s) ds=0wedge int_0^1s^2x(s) ds=0right}.$$
    From now on suppose that $lambdane 0$.



    From (1), we get
    $$frac{d}{dt}frac{x(t)}{t}=-frac{1}{lambda}gamma(x).$$
    Therefore,
    $$frac{x(t)}{t}=C-frac{t}{lambda}gamma(x)$$
    or
    $$x(t)=Ct-frac{t^2}{lambda}gamma(x).$$
    Since $gamma(x)=int_0^1s^2x(s) ds$, we need
    $$gamma(x)=int_0^1s^2left(Cs-frac{s^2}{lambda}gamma(x)right) ds.$$
    So
    $$gamma(x)=frac{C}{4}-frac{1}{5lambda}gamma(x)implies C=left(4+frac4{5lambda}right)gamma(x).$$
    Hence,
    $$x(t)=gamma(x)Biggl(left(4+frac4{5lambda}right){t}-frac{t^2}{lambda}Biggr).tag{2}$$
    Therefore, the eigenspace of $A$ w/ eigenvalue $lambda ne 0$ is a subspace of the span of
    $$x_lambda(t)=left(4+frac4{5lambda}right){t}-frac{t^2}{lambda}.$$
    Plugging this into $lambda x_lambda (t)=Ax_lambda (t)$, it turns out that $lambda$ must satisfy
    $$lambdaleft(4+frac{4}{5lambda}right)=frac{frac{1}{lambda}+80}{60}.$$ That is, $lambda=frac{4pmsqrt{31}}{61}$.





    Simpler Solution.



    Suppose that $x$ is an eigenfunction of $A$ w/ eigenvalue $lambdaneq 0$. Then,
    $$x(t)=frac{Ax(t)}{lambda}=left(frac{int_0^1 sx(s) ds}{lambda}right)t+left(-frac{int_0^1s^2x(s) ds}{lambda}right)t^2.$$
    That is, $x(t)=at+bt^2$ for some constants $a,b$. Plugging this into $lambda x=Ax$, we get
    $$lambda(at+bt^2)=left(frac{a}{3}+frac{b}{4}right) t +left(-frac{a}{4}-frac{b}{5}right)t^2.$$
    Hence,
    $$frac{a}{3}+frac{b}{4}=lambda awedge -frac{a}{4}-frac{b}{5}=lambda b.$$
    So $lambda$ is an eigenvalue of the matrix
    $$begin{pmatrix}frac13 & frac14\ -frac14 &-frac15end{pmatrix},$$ which means $lambda=frac{4pmsqrt{31}}{60}$.






    share|cite|improve this answer











    $endgroup$













    • $begingroup$
      I think the spectrum here has to be at most countable...how does that fit together?
      $endgroup$
      – ShaqAttack1337
      Dec 17 '18 at 15:48












    • $begingroup$
      @ShaqAttack1337 I forgot to verify which $lambda$ gives the right result.
      $endgroup$
      – user593746
      Dec 17 '18 at 16:05










    • $begingroup$
      Thank you for your answer!
      $endgroup$
      – ShaqAttack1337
      Dec 17 '18 at 16:14










    • $begingroup$
      +1, but you need to justify that the eigenfunctions are necessarily differentiable.
      $endgroup$
      – Martin Argerami
      Dec 17 '18 at 23:22






    • 1




      $begingroup$
      @MartinArgerami That is because $Ax(t)$ is a polynomial in $t$, so it is differentiable. Hence if $x$ is an eigenfunction of $A$ with non-zero eig.value, then $x$ is differentiable. Thanks for the remark, and I have added a remark in my answer.
      $endgroup$
      – user593746
      Dec 18 '18 at 14:05
















    5












    5








    5





    $begingroup$

    Old, Naive, Too Complicated Solution.



    Suppose that $x$ is an eigenfunction of $A$ w/ eigenvalue $lambda$. That is,
    $$lambda x(t)=Ax(t)=int_0^1 ts(1-ts)x(s) ds.$$

    See a remark in the comment section below that proves differentiability of $x$. Note that
    $$lambda x'(t)=int_0^1 s(1-ts)x(s) ds-tint_0^1s^2x(s) ds.$$
    That is,
    $$lambda t x'(t)=lambda x(t)-t^2gamma(x)tag{1}$$
    where $gamma:L^2[0,1]to Bbb C$ is given by $gamma(x)=int_0^1 s^2 x(s) ds$.



    Observe that the eigenspace with the eigenvalue $0$ is given by
    $$ker A=left{xin L^2[0,1]:int_0^1sx(s) ds=0wedge int_0^1s^2x(s) ds=0right}.$$
    From now on suppose that $lambdane 0$.



    From (1), we get
    $$frac{d}{dt}frac{x(t)}{t}=-frac{1}{lambda}gamma(x).$$
    Therefore,
    $$frac{x(t)}{t}=C-frac{t}{lambda}gamma(x)$$
    or
    $$x(t)=Ct-frac{t^2}{lambda}gamma(x).$$
    Since $gamma(x)=int_0^1s^2x(s) ds$, we need
    $$gamma(x)=int_0^1s^2left(Cs-frac{s^2}{lambda}gamma(x)right) ds.$$
    So
    $$gamma(x)=frac{C}{4}-frac{1}{5lambda}gamma(x)implies C=left(4+frac4{5lambda}right)gamma(x).$$
    Hence,
    $$x(t)=gamma(x)Biggl(left(4+frac4{5lambda}right){t}-frac{t^2}{lambda}Biggr).tag{2}$$
    Therefore, the eigenspace of $A$ w/ eigenvalue $lambda ne 0$ is a subspace of the span of
    $$x_lambda(t)=left(4+frac4{5lambda}right){t}-frac{t^2}{lambda}.$$
    Plugging this into $lambda x_lambda (t)=Ax_lambda (t)$, it turns out that $lambda$ must satisfy
    $$lambdaleft(4+frac{4}{5lambda}right)=frac{frac{1}{lambda}+80}{60}.$$ That is, $lambda=frac{4pmsqrt{31}}{61}$.





    Simpler Solution.



    Suppose that $x$ is an eigenfunction of $A$ w/ eigenvalue $lambdaneq 0$. Then,
    $$x(t)=frac{Ax(t)}{lambda}=left(frac{int_0^1 sx(s) ds}{lambda}right)t+left(-frac{int_0^1s^2x(s) ds}{lambda}right)t^2.$$
    That is, $x(t)=at+bt^2$ for some constants $a,b$. Plugging this into $lambda x=Ax$, we get
    $$lambda(at+bt^2)=left(frac{a}{3}+frac{b}{4}right) t +left(-frac{a}{4}-frac{b}{5}right)t^2.$$
    Hence,
    $$frac{a}{3}+frac{b}{4}=lambda awedge -frac{a}{4}-frac{b}{5}=lambda b.$$
    So $lambda$ is an eigenvalue of the matrix
    $$begin{pmatrix}frac13 & frac14\ -frac14 &-frac15end{pmatrix},$$ which means $lambda=frac{4pmsqrt{31}}{60}$.






    share|cite|improve this answer











    $endgroup$



    Old, Naive, Too Complicated Solution.



    Suppose that $x$ is an eigenfunction of $A$ w/ eigenvalue $lambda$. That is,
    $$lambda x(t)=Ax(t)=int_0^1 ts(1-ts)x(s) ds.$$

    See a remark in the comment section below that proves differentiability of $x$. Note that
    $$lambda x'(t)=int_0^1 s(1-ts)x(s) ds-tint_0^1s^2x(s) ds.$$
    That is,
    $$lambda t x'(t)=lambda x(t)-t^2gamma(x)tag{1}$$
    where $gamma:L^2[0,1]to Bbb C$ is given by $gamma(x)=int_0^1 s^2 x(s) ds$.



    Observe that the eigenspace with the eigenvalue $0$ is given by
    $$ker A=left{xin L^2[0,1]:int_0^1sx(s) ds=0wedge int_0^1s^2x(s) ds=0right}.$$
    From now on suppose that $lambdane 0$.



    From (1), we get
    $$frac{d}{dt}frac{x(t)}{t}=-frac{1}{lambda}gamma(x).$$
    Therefore,
    $$frac{x(t)}{t}=C-frac{t}{lambda}gamma(x)$$
    or
    $$x(t)=Ct-frac{t^2}{lambda}gamma(x).$$
    Since $gamma(x)=int_0^1s^2x(s) ds$, we need
    $$gamma(x)=int_0^1s^2left(Cs-frac{s^2}{lambda}gamma(x)right) ds.$$
    So
    $$gamma(x)=frac{C}{4}-frac{1}{5lambda}gamma(x)implies C=left(4+frac4{5lambda}right)gamma(x).$$
    Hence,
    $$x(t)=gamma(x)Biggl(left(4+frac4{5lambda}right){t}-frac{t^2}{lambda}Biggr).tag{2}$$
    Therefore, the eigenspace of $A$ w/ eigenvalue $lambda ne 0$ is a subspace of the span of
    $$x_lambda(t)=left(4+frac4{5lambda}right){t}-frac{t^2}{lambda}.$$
    Plugging this into $lambda x_lambda (t)=Ax_lambda (t)$, it turns out that $lambda$ must satisfy
    $$lambdaleft(4+frac{4}{5lambda}right)=frac{frac{1}{lambda}+80}{60}.$$ That is, $lambda=frac{4pmsqrt{31}}{61}$.





    Simpler Solution.



    Suppose that $x$ is an eigenfunction of $A$ w/ eigenvalue $lambdaneq 0$. Then,
    $$x(t)=frac{Ax(t)}{lambda}=left(frac{int_0^1 sx(s) ds}{lambda}right)t+left(-frac{int_0^1s^2x(s) ds}{lambda}right)t^2.$$
    That is, $x(t)=at+bt^2$ for some constants $a,b$. Plugging this into $lambda x=Ax$, we get
    $$lambda(at+bt^2)=left(frac{a}{3}+frac{b}{4}right) t +left(-frac{a}{4}-frac{b}{5}right)t^2.$$
    Hence,
    $$frac{a}{3}+frac{b}{4}=lambda awedge -frac{a}{4}-frac{b}{5}=lambda b.$$
    So $lambda$ is an eigenvalue of the matrix
    $$begin{pmatrix}frac13 & frac14\ -frac14 &-frac15end{pmatrix},$$ which means $lambda=frac{4pmsqrt{31}}{60}$.







    share|cite|improve this answer














    share|cite|improve this answer



    share|cite|improve this answer








    edited Dec 18 '18 at 14:06

























    answered Dec 17 '18 at 15:20







    user593746



















    • $begingroup$
      I think the spectrum here has to be at most countable...how does that fit together?
      $endgroup$
      – ShaqAttack1337
      Dec 17 '18 at 15:48












    • $begingroup$
      @ShaqAttack1337 I forgot to verify which $lambda$ gives the right result.
      $endgroup$
      – user593746
      Dec 17 '18 at 16:05










    • $begingroup$
      Thank you for your answer!
      $endgroup$
      – ShaqAttack1337
      Dec 17 '18 at 16:14










    • $begingroup$
      +1, but you need to justify that the eigenfunctions are necessarily differentiable.
      $endgroup$
      – Martin Argerami
      Dec 17 '18 at 23:22






    • 1




      $begingroup$
      @MartinArgerami That is because $Ax(t)$ is a polynomial in $t$, so it is differentiable. Hence if $x$ is an eigenfunction of $A$ with non-zero eig.value, then $x$ is differentiable. Thanks for the remark, and I have added a remark in my answer.
      $endgroup$
      – user593746
      Dec 18 '18 at 14:05




















    • $begingroup$
      I think the spectrum here has to be at most countable...how does that fit together?
      $endgroup$
      – ShaqAttack1337
      Dec 17 '18 at 15:48












    • $begingroup$
      @ShaqAttack1337 I forgot to verify which $lambda$ gives the right result.
      $endgroup$
      – user593746
      Dec 17 '18 at 16:05










    • $begingroup$
      Thank you for your answer!
      $endgroup$
      – ShaqAttack1337
      Dec 17 '18 at 16:14










    • $begingroup$
      +1, but you need to justify that the eigenfunctions are necessarily differentiable.
      $endgroup$
      – Martin Argerami
      Dec 17 '18 at 23:22






    • 1




      $begingroup$
      @MartinArgerami That is because $Ax(t)$ is a polynomial in $t$, so it is differentiable. Hence if $x$ is an eigenfunction of $A$ with non-zero eig.value, then $x$ is differentiable. Thanks for the remark, and I have added a remark in my answer.
      $endgroup$
      – user593746
      Dec 18 '18 at 14:05


















    $begingroup$
    I think the spectrum here has to be at most countable...how does that fit together?
    $endgroup$
    – ShaqAttack1337
    Dec 17 '18 at 15:48






    $begingroup$
    I think the spectrum here has to be at most countable...how does that fit together?
    $endgroup$
    – ShaqAttack1337
    Dec 17 '18 at 15:48














    $begingroup$
    @ShaqAttack1337 I forgot to verify which $lambda$ gives the right result.
    $endgroup$
    – user593746
    Dec 17 '18 at 16:05




    $begingroup$
    @ShaqAttack1337 I forgot to verify which $lambda$ gives the right result.
    $endgroup$
    – user593746
    Dec 17 '18 at 16:05












    $begingroup$
    Thank you for your answer!
    $endgroup$
    – ShaqAttack1337
    Dec 17 '18 at 16:14




    $begingroup$
    Thank you for your answer!
    $endgroup$
    – ShaqAttack1337
    Dec 17 '18 at 16:14












    $begingroup$
    +1, but you need to justify that the eigenfunctions are necessarily differentiable.
    $endgroup$
    – Martin Argerami
    Dec 17 '18 at 23:22




    $begingroup$
    +1, but you need to justify that the eigenfunctions are necessarily differentiable.
    $endgroup$
    – Martin Argerami
    Dec 17 '18 at 23:22




    1




    1




    $begingroup$
    @MartinArgerami That is because $Ax(t)$ is a polynomial in $t$, so it is differentiable. Hence if $x$ is an eigenfunction of $A$ with non-zero eig.value, then $x$ is differentiable. Thanks for the remark, and I have added a remark in my answer.
    $endgroup$
    – user593746
    Dec 18 '18 at 14:05






    $begingroup$
    @MartinArgerami That is because $Ax(t)$ is a polynomial in $t$, so it is differentiable. Hence if $x$ is an eigenfunction of $A$ with non-zero eig.value, then $x$ is differentiable. Thanks for the remark, and I have added a remark in my answer.
    $endgroup$
    – user593746
    Dec 18 '18 at 14:05













    0












    $begingroup$

    Here is how I would approach this question: Keep differentiating both sides with respect to $t$ until you reach zero on one side. This will show that an eigenfunction has to be a polynomial of a certain degree. Work out the equations for the coefficients of that polynomial from the equation we got so far…



    By the way: This operator seems to have a pretty large null space.






    share|cite|improve this answer









    $endgroup$


















      0












      $begingroup$

      Here is how I would approach this question: Keep differentiating both sides with respect to $t$ until you reach zero on one side. This will show that an eigenfunction has to be a polynomial of a certain degree. Work out the equations for the coefficients of that polynomial from the equation we got so far…



      By the way: This operator seems to have a pretty large null space.






      share|cite|improve this answer









      $endgroup$
















        0












        0








        0





        $begingroup$

        Here is how I would approach this question: Keep differentiating both sides with respect to $t$ until you reach zero on one side. This will show that an eigenfunction has to be a polynomial of a certain degree. Work out the equations for the coefficients of that polynomial from the equation we got so far…



        By the way: This operator seems to have a pretty large null space.






        share|cite|improve this answer









        $endgroup$



        Here is how I would approach this question: Keep differentiating both sides with respect to $t$ until you reach zero on one side. This will show that an eigenfunction has to be a polynomial of a certain degree. Work out the equations for the coefficients of that polynomial from the equation we got so far…



        By the way: This operator seems to have a pretty large null space.







        share|cite|improve this answer












        share|cite|improve this answer



        share|cite|improve this answer










        answered Dec 17 '18 at 15:13









        DirkDirk

        8,8102447




        8,8102447






























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