Suppose every eigenvalue $lambda$ of $X$ satisfies $|lambda|<2pi$. If $exp(X)v=v$ for some $vin mathbb...












2












$begingroup$


Let $Xin M_n(mathbb C)$. Suppose every eigenvalue $lambda$ of $X$ satisfies $|lambda|<2pi$. If $e^Xv=v$ for some $vin mathbb C^n$ then $Xv=0$.



I know that if I suppose $e^Xv=v$, then 1 is an eigenvalue of $e^X$, so then $log e^X=X$ has eigenvalue $log 1=0$. So $Xv=0$. However, I know there are some requirements to be able to use the matrix logarithm, and that I have not used all my hypothesis, so this is suspect, but I am not sure what else to do.



I have the hint to use the series of $frac{e^x-1}{x}$ but I'm not sure how to fit this in either.










share|cite|improve this question









$endgroup$












  • $begingroup$
    Perhaps it's useful to note that if $e^X v = v$, then $$ (e^X - I)v = 0 $$ I still don't see how that series fits in though. Perhaps we could deduce that $frac{e^X - 1}{X} v = 0$.
    $endgroup$
    – Omnomnomnom
    Jan 24 at 5:23


















2












$begingroup$


Let $Xin M_n(mathbb C)$. Suppose every eigenvalue $lambda$ of $X$ satisfies $|lambda|<2pi$. If $e^Xv=v$ for some $vin mathbb C^n$ then $Xv=0$.



I know that if I suppose $e^Xv=v$, then 1 is an eigenvalue of $e^X$, so then $log e^X=X$ has eigenvalue $log 1=0$. So $Xv=0$. However, I know there are some requirements to be able to use the matrix logarithm, and that I have not used all my hypothesis, so this is suspect, but I am not sure what else to do.



I have the hint to use the series of $frac{e^x-1}{x}$ but I'm not sure how to fit this in either.










share|cite|improve this question









$endgroup$












  • $begingroup$
    Perhaps it's useful to note that if $e^X v = v$, then $$ (e^X - I)v = 0 $$ I still don't see how that series fits in though. Perhaps we could deduce that $frac{e^X - 1}{X} v = 0$.
    $endgroup$
    – Omnomnomnom
    Jan 24 at 5:23
















2












2








2





$begingroup$


Let $Xin M_n(mathbb C)$. Suppose every eigenvalue $lambda$ of $X$ satisfies $|lambda|<2pi$. If $e^Xv=v$ for some $vin mathbb C^n$ then $Xv=0$.



I know that if I suppose $e^Xv=v$, then 1 is an eigenvalue of $e^X$, so then $log e^X=X$ has eigenvalue $log 1=0$. So $Xv=0$. However, I know there are some requirements to be able to use the matrix logarithm, and that I have not used all my hypothesis, so this is suspect, but I am not sure what else to do.



I have the hint to use the series of $frac{e^x-1}{x}$ but I'm not sure how to fit this in either.










share|cite|improve this question









$endgroup$




Let $Xin M_n(mathbb C)$. Suppose every eigenvalue $lambda$ of $X$ satisfies $|lambda|<2pi$. If $e^Xv=v$ for some $vin mathbb C^n$ then $Xv=0$.



I know that if I suppose $e^Xv=v$, then 1 is an eigenvalue of $e^X$, so then $log e^X=X$ has eigenvalue $log 1=0$. So $Xv=0$. However, I know there are some requirements to be able to use the matrix logarithm, and that I have not used all my hypothesis, so this is suspect, but I am not sure what else to do.



I have the hint to use the series of $frac{e^x-1}{x}$ but I'm not sure how to fit this in either.







matrices






share|cite|improve this question













share|cite|improve this question











share|cite|improve this question




share|cite|improve this question










asked Jan 23 at 20:07









AlexAlex

36429




36429












  • $begingroup$
    Perhaps it's useful to note that if $e^X v = v$, then $$ (e^X - I)v = 0 $$ I still don't see how that series fits in though. Perhaps we could deduce that $frac{e^X - 1}{X} v = 0$.
    $endgroup$
    – Omnomnomnom
    Jan 24 at 5:23




















  • $begingroup$
    Perhaps it's useful to note that if $e^X v = v$, then $$ (e^X - I)v = 0 $$ I still don't see how that series fits in though. Perhaps we could deduce that $frac{e^X - 1}{X} v = 0$.
    $endgroup$
    – Omnomnomnom
    Jan 24 at 5:23


















$begingroup$
Perhaps it's useful to note that if $e^X v = v$, then $$ (e^X - I)v = 0 $$ I still don't see how that series fits in though. Perhaps we could deduce that $frac{e^X - 1}{X} v = 0$.
$endgroup$
– Omnomnomnom
Jan 24 at 5:23






$begingroup$
Perhaps it's useful to note that if $e^X v = v$, then $$ (e^X - I)v = 0 $$ I still don't see how that series fits in though. Perhaps we could deduce that $frac{e^X - 1}{X} v = 0$.
$endgroup$
– Omnomnomnom
Jan 24 at 5:23












3 Answers
3






active

oldest

votes


















0












$begingroup$

Here is a slightly unsatisfactory answer.



Let $f(x) = e^x-1$. Note that $f^{(k)}(x) = e^x$ for $k ge 1$.



Suppose $J_{lambda,m}$ is a Jordan block of size $m$ with $lambda$ on the diagonal.
Then (see, for example, https://en.wikipedia.org/wiki/Jordan_matrix#Functions_of_matrices),
$e^{J_{lambda,m}}-I = begin{bmatrix} e^lambda-1 & {1 over 2!} e^lambda &
{1 over 3!}e^lambda & cdots & {1 over (m-1)!} e^lambda \
0 & e^lambda-1 & {1 over 2!} e^lambda & cdots & {1 over (m-2)!} e^lambda \
vdots & vdots & ddots & & vdots\
0 & 0 & 0 & cdots & e^lambda-1
end{bmatrix}$
.



From this we see that if $v neq 0$ and $(e^{J_{lambda,m}} -I)v = 0$ then $e^lambda =1$
and $v=e_k$.
Since $e^lambda =1 $, we must have $lambda in 2 pi i mathbb{Z}$ and so, by assumption, $lambda = 0$. Hence $J_{lambda,m} v = 0$. Hence if $(e^{J_{lambda,m}} -I)v = 0$ then $J_{lambda,m} v = 0$.



Let $J$ be a Jordan normal form of $X$. Then $e^J = operatorname{diag}(e^{J_{lambda_1,m_1}},...,e^{J_{lambda_k,m_k}})$ and from the above it follows
that if $(e^J-I)v=0$ then $Jv = 0$.






share|cite|improve this answer









$endgroup$





















    0












    $begingroup$

    Suppose $Av = v$, we have
    $$e^{2pi iA}v = e^{2pi i}v = v$$



    Let $X = 2 pi inA, (n in mathbb Z)$, then
    $$
    e^{X}v = e^{2pi i n A}v = v
    $$



    Which fit the requirements but



    $$
    Xv = 2pi inAv = 2pi i n v
    $$



    $X$ also have an eigenvalue of $lambda = 2pi in$ where $lvertlambdarvert = 2pi n$



    From this example we can see that:



    $$
    e^Xv = lambda v Rightarrow Xv = (log lambda + 2 pi i n)v (n in mathbb Z)
    $$



    This is why we need $lvertlambdarvert < 2pi$






    share|cite|improve this answer











    $endgroup$





















      0












      $begingroup$

      Let $X=D+N$ where $D$ is diagonalizable, $N$ is nilpotent and $ND=DN$. Then $e^X=e^De^N=e^D(I+N+cdots)=e^D(I+M)$ where $M$ is nilpotent, $ker(M)=ker(N)$ and $MD=DM$.



      $e^Xv=v$ $implies$ $e^Dv=v$, and $e^DMv=0$, that implies $Nv=0$ and finally $Xv=Dv$.



      We may sassume $D=diag(lambda_i)$ where $|lambda_i|<2pi$; then



      $e^Dv=v$ IFF for every $i$, $e^{lambda_i}v_i=v_i$ IFF for every $i$, $v_i=0$ or $e^{lambda_i}=1$, that is $lambda_i=0$.
      Thus, for every $i$, $lambda_iv_i=0$; therefore $Dv=0$ and we are done.






      share|cite|improve this answer









      $endgroup$













        Your Answer





        StackExchange.ifUsing("editor", function () {
        return StackExchange.using("mathjaxEditing", function () {
        StackExchange.MarkdownEditor.creationCallbacks.add(function (editor, postfix) {
        StackExchange.mathjaxEditing.prepareWmdForMathJax(editor, postfix, [["$", "$"], ["\\(","\\)"]]);
        });
        });
        }, "mathjax-editing");

        StackExchange.ready(function() {
        var channelOptions = {
        tags: "".split(" "),
        id: "69"
        };
        initTagRenderer("".split(" "), "".split(" "), channelOptions);

        StackExchange.using("externalEditor", function() {
        // Have to fire editor after snippets, if snippets enabled
        if (StackExchange.settings.snippets.snippetsEnabled) {
        StackExchange.using("snippets", function() {
        createEditor();
        });
        }
        else {
        createEditor();
        }
        });

        function createEditor() {
        StackExchange.prepareEditor({
        heartbeatType: 'answer',
        autoActivateHeartbeat: false,
        convertImagesToLinks: true,
        noModals: true,
        showLowRepImageUploadWarning: true,
        reputationToPostImages: 10,
        bindNavPrevention: true,
        postfix: "",
        imageUploader: {
        brandingHtml: "Powered by u003ca class="icon-imgur-white" href="https://imgur.com/"u003eu003c/au003e",
        contentPolicyHtml: "User contributions licensed under u003ca href="https://creativecommons.org/licenses/by-sa/3.0/"u003ecc by-sa 3.0 with attribution requiredu003c/au003e u003ca href="https://stackoverflow.com/legal/content-policy"u003e(content policy)u003c/au003e",
        allowUrls: true
        },
        noCode: true, onDemand: true,
        discardSelector: ".discard-answer"
        ,immediatelyShowMarkdownHelp:true
        });


        }
        });














        draft saved

        draft discarded


















        StackExchange.ready(
        function () {
        StackExchange.openid.initPostLogin('.new-post-login', 'https%3a%2f%2fmath.stackexchange.com%2fquestions%2f3085004%2fsuppose-every-eigenvalue-lambda-of-x-satisfies-lambda2-pi-if-expx%23new-answer', 'question_page');
        }
        );

        Post as a guest















        Required, but never shown

























        3 Answers
        3






        active

        oldest

        votes








        3 Answers
        3






        active

        oldest

        votes









        active

        oldest

        votes






        active

        oldest

        votes









        0












        $begingroup$

        Here is a slightly unsatisfactory answer.



        Let $f(x) = e^x-1$. Note that $f^{(k)}(x) = e^x$ for $k ge 1$.



        Suppose $J_{lambda,m}$ is a Jordan block of size $m$ with $lambda$ on the diagonal.
        Then (see, for example, https://en.wikipedia.org/wiki/Jordan_matrix#Functions_of_matrices),
        $e^{J_{lambda,m}}-I = begin{bmatrix} e^lambda-1 & {1 over 2!} e^lambda &
        {1 over 3!}e^lambda & cdots & {1 over (m-1)!} e^lambda \
        0 & e^lambda-1 & {1 over 2!} e^lambda & cdots & {1 over (m-2)!} e^lambda \
        vdots & vdots & ddots & & vdots\
        0 & 0 & 0 & cdots & e^lambda-1
        end{bmatrix}$
        .



        From this we see that if $v neq 0$ and $(e^{J_{lambda,m}} -I)v = 0$ then $e^lambda =1$
        and $v=e_k$.
        Since $e^lambda =1 $, we must have $lambda in 2 pi i mathbb{Z}$ and so, by assumption, $lambda = 0$. Hence $J_{lambda,m} v = 0$. Hence if $(e^{J_{lambda,m}} -I)v = 0$ then $J_{lambda,m} v = 0$.



        Let $J$ be a Jordan normal form of $X$. Then $e^J = operatorname{diag}(e^{J_{lambda_1,m_1}},...,e^{J_{lambda_k,m_k}})$ and from the above it follows
        that if $(e^J-I)v=0$ then $Jv = 0$.






        share|cite|improve this answer









        $endgroup$


















          0












          $begingroup$

          Here is a slightly unsatisfactory answer.



          Let $f(x) = e^x-1$. Note that $f^{(k)}(x) = e^x$ for $k ge 1$.



          Suppose $J_{lambda,m}$ is a Jordan block of size $m$ with $lambda$ on the diagonal.
          Then (see, for example, https://en.wikipedia.org/wiki/Jordan_matrix#Functions_of_matrices),
          $e^{J_{lambda,m}}-I = begin{bmatrix} e^lambda-1 & {1 over 2!} e^lambda &
          {1 over 3!}e^lambda & cdots & {1 over (m-1)!} e^lambda \
          0 & e^lambda-1 & {1 over 2!} e^lambda & cdots & {1 over (m-2)!} e^lambda \
          vdots & vdots & ddots & & vdots\
          0 & 0 & 0 & cdots & e^lambda-1
          end{bmatrix}$
          .



          From this we see that if $v neq 0$ and $(e^{J_{lambda,m}} -I)v = 0$ then $e^lambda =1$
          and $v=e_k$.
          Since $e^lambda =1 $, we must have $lambda in 2 pi i mathbb{Z}$ and so, by assumption, $lambda = 0$. Hence $J_{lambda,m} v = 0$. Hence if $(e^{J_{lambda,m}} -I)v = 0$ then $J_{lambda,m} v = 0$.



          Let $J$ be a Jordan normal form of $X$. Then $e^J = operatorname{diag}(e^{J_{lambda_1,m_1}},...,e^{J_{lambda_k,m_k}})$ and from the above it follows
          that if $(e^J-I)v=0$ then $Jv = 0$.






          share|cite|improve this answer









          $endgroup$
















            0












            0








            0





            $begingroup$

            Here is a slightly unsatisfactory answer.



            Let $f(x) = e^x-1$. Note that $f^{(k)}(x) = e^x$ for $k ge 1$.



            Suppose $J_{lambda,m}$ is a Jordan block of size $m$ with $lambda$ on the diagonal.
            Then (see, for example, https://en.wikipedia.org/wiki/Jordan_matrix#Functions_of_matrices),
            $e^{J_{lambda,m}}-I = begin{bmatrix} e^lambda-1 & {1 over 2!} e^lambda &
            {1 over 3!}e^lambda & cdots & {1 over (m-1)!} e^lambda \
            0 & e^lambda-1 & {1 over 2!} e^lambda & cdots & {1 over (m-2)!} e^lambda \
            vdots & vdots & ddots & & vdots\
            0 & 0 & 0 & cdots & e^lambda-1
            end{bmatrix}$
            .



            From this we see that if $v neq 0$ and $(e^{J_{lambda,m}} -I)v = 0$ then $e^lambda =1$
            and $v=e_k$.
            Since $e^lambda =1 $, we must have $lambda in 2 pi i mathbb{Z}$ and so, by assumption, $lambda = 0$. Hence $J_{lambda,m} v = 0$. Hence if $(e^{J_{lambda,m}} -I)v = 0$ then $J_{lambda,m} v = 0$.



            Let $J$ be a Jordan normal form of $X$. Then $e^J = operatorname{diag}(e^{J_{lambda_1,m_1}},...,e^{J_{lambda_k,m_k}})$ and from the above it follows
            that if $(e^J-I)v=0$ then $Jv = 0$.






            share|cite|improve this answer









            $endgroup$



            Here is a slightly unsatisfactory answer.



            Let $f(x) = e^x-1$. Note that $f^{(k)}(x) = e^x$ for $k ge 1$.



            Suppose $J_{lambda,m}$ is a Jordan block of size $m$ with $lambda$ on the diagonal.
            Then (see, for example, https://en.wikipedia.org/wiki/Jordan_matrix#Functions_of_matrices),
            $e^{J_{lambda,m}}-I = begin{bmatrix} e^lambda-1 & {1 over 2!} e^lambda &
            {1 over 3!}e^lambda & cdots & {1 over (m-1)!} e^lambda \
            0 & e^lambda-1 & {1 over 2!} e^lambda & cdots & {1 over (m-2)!} e^lambda \
            vdots & vdots & ddots & & vdots\
            0 & 0 & 0 & cdots & e^lambda-1
            end{bmatrix}$
            .



            From this we see that if $v neq 0$ and $(e^{J_{lambda,m}} -I)v = 0$ then $e^lambda =1$
            and $v=e_k$.
            Since $e^lambda =1 $, we must have $lambda in 2 pi i mathbb{Z}$ and so, by assumption, $lambda = 0$. Hence $J_{lambda,m} v = 0$. Hence if $(e^{J_{lambda,m}} -I)v = 0$ then $J_{lambda,m} v = 0$.



            Let $J$ be a Jordan normal form of $X$. Then $e^J = operatorname{diag}(e^{J_{lambda_1,m_1}},...,e^{J_{lambda_k,m_k}})$ and from the above it follows
            that if $(e^J-I)v=0$ then $Jv = 0$.







            share|cite|improve this answer












            share|cite|improve this answer



            share|cite|improve this answer










            answered Jan 24 at 0:35









            copper.hatcopper.hat

            127k559160




            127k559160























                0












                $begingroup$

                Suppose $Av = v$, we have
                $$e^{2pi iA}v = e^{2pi i}v = v$$



                Let $X = 2 pi inA, (n in mathbb Z)$, then
                $$
                e^{X}v = e^{2pi i n A}v = v
                $$



                Which fit the requirements but



                $$
                Xv = 2pi inAv = 2pi i n v
                $$



                $X$ also have an eigenvalue of $lambda = 2pi in$ where $lvertlambdarvert = 2pi n$



                From this example we can see that:



                $$
                e^Xv = lambda v Rightarrow Xv = (log lambda + 2 pi i n)v (n in mathbb Z)
                $$



                This is why we need $lvertlambdarvert < 2pi$






                share|cite|improve this answer











                $endgroup$


















                  0












                  $begingroup$

                  Suppose $Av = v$, we have
                  $$e^{2pi iA}v = e^{2pi i}v = v$$



                  Let $X = 2 pi inA, (n in mathbb Z)$, then
                  $$
                  e^{X}v = e^{2pi i n A}v = v
                  $$



                  Which fit the requirements but



                  $$
                  Xv = 2pi inAv = 2pi i n v
                  $$



                  $X$ also have an eigenvalue of $lambda = 2pi in$ where $lvertlambdarvert = 2pi n$



                  From this example we can see that:



                  $$
                  e^Xv = lambda v Rightarrow Xv = (log lambda + 2 pi i n)v (n in mathbb Z)
                  $$



                  This is why we need $lvertlambdarvert < 2pi$






                  share|cite|improve this answer











                  $endgroup$
















                    0












                    0








                    0





                    $begingroup$

                    Suppose $Av = v$, we have
                    $$e^{2pi iA}v = e^{2pi i}v = v$$



                    Let $X = 2 pi inA, (n in mathbb Z)$, then
                    $$
                    e^{X}v = e^{2pi i n A}v = v
                    $$



                    Which fit the requirements but



                    $$
                    Xv = 2pi inAv = 2pi i n v
                    $$



                    $X$ also have an eigenvalue of $lambda = 2pi in$ where $lvertlambdarvert = 2pi n$



                    From this example we can see that:



                    $$
                    e^Xv = lambda v Rightarrow Xv = (log lambda + 2 pi i n)v (n in mathbb Z)
                    $$



                    This is why we need $lvertlambdarvert < 2pi$






                    share|cite|improve this answer











                    $endgroup$



                    Suppose $Av = v$, we have
                    $$e^{2pi iA}v = e^{2pi i}v = v$$



                    Let $X = 2 pi inA, (n in mathbb Z)$, then
                    $$
                    e^{X}v = e^{2pi i n A}v = v
                    $$



                    Which fit the requirements but



                    $$
                    Xv = 2pi inAv = 2pi i n v
                    $$



                    $X$ also have an eigenvalue of $lambda = 2pi in$ where $lvertlambdarvert = 2pi n$



                    From this example we can see that:



                    $$
                    e^Xv = lambda v Rightarrow Xv = (log lambda + 2 pi i n)v (n in mathbb Z)
                    $$



                    This is why we need $lvertlambdarvert < 2pi$







                    share|cite|improve this answer














                    share|cite|improve this answer



                    share|cite|improve this answer








                    edited Jan 24 at 5:20

























                    answered Jan 24 at 5:13









                    Zang MingJieZang MingJie

                    1356




                    1356























                        0












                        $begingroup$

                        Let $X=D+N$ where $D$ is diagonalizable, $N$ is nilpotent and $ND=DN$. Then $e^X=e^De^N=e^D(I+N+cdots)=e^D(I+M)$ where $M$ is nilpotent, $ker(M)=ker(N)$ and $MD=DM$.



                        $e^Xv=v$ $implies$ $e^Dv=v$, and $e^DMv=0$, that implies $Nv=0$ and finally $Xv=Dv$.



                        We may sassume $D=diag(lambda_i)$ where $|lambda_i|<2pi$; then



                        $e^Dv=v$ IFF for every $i$, $e^{lambda_i}v_i=v_i$ IFF for every $i$, $v_i=0$ or $e^{lambda_i}=1$, that is $lambda_i=0$.
                        Thus, for every $i$, $lambda_iv_i=0$; therefore $Dv=0$ and we are done.






                        share|cite|improve this answer









                        $endgroup$


















                          0












                          $begingroup$

                          Let $X=D+N$ where $D$ is diagonalizable, $N$ is nilpotent and $ND=DN$. Then $e^X=e^De^N=e^D(I+N+cdots)=e^D(I+M)$ where $M$ is nilpotent, $ker(M)=ker(N)$ and $MD=DM$.



                          $e^Xv=v$ $implies$ $e^Dv=v$, and $e^DMv=0$, that implies $Nv=0$ and finally $Xv=Dv$.



                          We may sassume $D=diag(lambda_i)$ where $|lambda_i|<2pi$; then



                          $e^Dv=v$ IFF for every $i$, $e^{lambda_i}v_i=v_i$ IFF for every $i$, $v_i=0$ or $e^{lambda_i}=1$, that is $lambda_i=0$.
                          Thus, for every $i$, $lambda_iv_i=0$; therefore $Dv=0$ and we are done.






                          share|cite|improve this answer









                          $endgroup$
















                            0












                            0








                            0





                            $begingroup$

                            Let $X=D+N$ where $D$ is diagonalizable, $N$ is nilpotent and $ND=DN$. Then $e^X=e^De^N=e^D(I+N+cdots)=e^D(I+M)$ where $M$ is nilpotent, $ker(M)=ker(N)$ and $MD=DM$.



                            $e^Xv=v$ $implies$ $e^Dv=v$, and $e^DMv=0$, that implies $Nv=0$ and finally $Xv=Dv$.



                            We may sassume $D=diag(lambda_i)$ where $|lambda_i|<2pi$; then



                            $e^Dv=v$ IFF for every $i$, $e^{lambda_i}v_i=v_i$ IFF for every $i$, $v_i=0$ or $e^{lambda_i}=1$, that is $lambda_i=0$.
                            Thus, for every $i$, $lambda_iv_i=0$; therefore $Dv=0$ and we are done.






                            share|cite|improve this answer









                            $endgroup$



                            Let $X=D+N$ where $D$ is diagonalizable, $N$ is nilpotent and $ND=DN$. Then $e^X=e^De^N=e^D(I+N+cdots)=e^D(I+M)$ where $M$ is nilpotent, $ker(M)=ker(N)$ and $MD=DM$.



                            $e^Xv=v$ $implies$ $e^Dv=v$, and $e^DMv=0$, that implies $Nv=0$ and finally $Xv=Dv$.



                            We may sassume $D=diag(lambda_i)$ where $|lambda_i|<2pi$; then



                            $e^Dv=v$ IFF for every $i$, $e^{lambda_i}v_i=v_i$ IFF for every $i$, $v_i=0$ or $e^{lambda_i}=1$, that is $lambda_i=0$.
                            Thus, for every $i$, $lambda_iv_i=0$; therefore $Dv=0$ and we are done.







                            share|cite|improve this answer












                            share|cite|improve this answer



                            share|cite|improve this answer










                            answered Jan 26 at 23:05









                            loup blancloup blanc

                            23.5k21851




                            23.5k21851






























                                draft saved

                                draft discarded




















































                                Thanks for contributing an answer to Mathematics Stack Exchange!


                                • Please be sure to answer the question. Provide details and share your research!

                                But avoid



                                • Asking for help, clarification, or responding to other answers.

                                • Making statements based on opinion; back them up with references or personal experience.


                                Use MathJax to format equations. MathJax reference.


                                To learn more, see our tips on writing great answers.




                                draft saved


                                draft discarded














                                StackExchange.ready(
                                function () {
                                StackExchange.openid.initPostLogin('.new-post-login', 'https%3a%2f%2fmath.stackexchange.com%2fquestions%2f3085004%2fsuppose-every-eigenvalue-lambda-of-x-satisfies-lambda2-pi-if-expx%23new-answer', 'question_page');
                                }
                                );

                                Post as a guest















                                Required, but never shown





















































                                Required, but never shown














                                Required, but never shown












                                Required, but never shown







                                Required, but never shown

































                                Required, but never shown














                                Required, but never shown












                                Required, but never shown







                                Required, but never shown







                                Popular posts from this blog

                                Mario Kart Wii

                                What does “Dominus providebit” mean?

                                Antonio Litta Visconti Arese