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Showing $sum_k geq 0 kA^k$ converges while $vert vert Avert vert



The Next CEO of Stack OverflowIf $sum_n geq 1X_n$ converges a.s. then $forall a > 0: sum P(|X_n|>a) < infty$Are there norms on $BbbC^m$ and $BbbC^n$ so that the norm $VertcdotVert$ is a subordinate norm?If $ sum_n=1^inftyx_na_n $ converges when $x_nto 0,$ then $ sum_n=1^inftya_n $ also converges.Prove that the series $displaystyle sum_n=1^infty a_n$ converges in $X$.Theorem 3.55 in Baby Rudin: Every re-arrangement of an absolutely convergent series converges to the same sum in every normed space?Theorem 3.22 in Baby Rudin: Is this proof correct?Hints on showing Cauchy sequence convergesIf $(2x_n+1-x_n)$ converges to $x$, then show that $(x_n)$ converges to $x$.If $leftVert ArightVert geq c$ then $left|lambdaright|>c$ for all eigenvalues of $A$Show directly that if $s_n$ is a Cauchy sequence then so is $s_n$. Conclude that $s_n$ converges whenever $s_n$ converges.










0












$begingroup$


Let $vert vert cdot vert vert$ be a matrix norm on $A$ where $vert vert Avert vert < 1$. Show that $sum_k geq 0 k A^k$ converges.



My ideas: Let $m<l$



$1.$ Let $vertvertsum_k=0^lkA^k-sum_k=0^mkA^kvertvert=vertvertsum_k=m+1^lkA^kvertvertleq sum_k=m+1^lvertvert kA^kvertvert=sum_k=m+1^lvert kvert vert vert A^kvertvertleq sum_k=m+1^lvert kvert vert vert Avertvert^k$



If I can remove $vert k vert$ then I am can show that it is a cauchy sequence and subsequently a convergent sequence.



other ideas: Am I allowed to simply take the derivative of $sum_k geq 0 k A^k$, but how would I then be able to compare $sum_k geq 0 k A^k$ and $sum_k geq 0 A^k$? Looking for tips.










share|cite|improve this question









$endgroup$
















    0












    $begingroup$


    Let $vert vert cdot vert vert$ be a matrix norm on $A$ where $vert vert Avert vert < 1$. Show that $sum_k geq 0 k A^k$ converges.



    My ideas: Let $m<l$



    $1.$ Let $vertvertsum_k=0^lkA^k-sum_k=0^mkA^kvertvert=vertvertsum_k=m+1^lkA^kvertvertleq sum_k=m+1^lvertvert kA^kvertvert=sum_k=m+1^lvert kvert vert vert A^kvertvertleq sum_k=m+1^lvert kvert vert vert Avertvert^k$



    If I can remove $vert k vert$ then I am can show that it is a cauchy sequence and subsequently a convergent sequence.



    other ideas: Am I allowed to simply take the derivative of $sum_k geq 0 k A^k$, but how would I then be able to compare $sum_k geq 0 k A^k$ and $sum_k geq 0 A^k$? Looking for tips.










    share|cite|improve this question









    $endgroup$














      0












      0








      0





      $begingroup$


      Let $vert vert cdot vert vert$ be a matrix norm on $A$ where $vert vert Avert vert < 1$. Show that $sum_k geq 0 k A^k$ converges.



      My ideas: Let $m<l$



      $1.$ Let $vertvertsum_k=0^lkA^k-sum_k=0^mkA^kvertvert=vertvertsum_k=m+1^lkA^kvertvertleq sum_k=m+1^lvertvert kA^kvertvert=sum_k=m+1^lvert kvert vert vert A^kvertvertleq sum_k=m+1^lvert kvert vert vert Avertvert^k$



      If I can remove $vert k vert$ then I am can show that it is a cauchy sequence and subsequently a convergent sequence.



      other ideas: Am I allowed to simply take the derivative of $sum_k geq 0 k A^k$, but how would I then be able to compare $sum_k geq 0 k A^k$ and $sum_k geq 0 A^k$? Looking for tips.










      share|cite|improve this question









      $endgroup$




      Let $vert vert cdot vert vert$ be a matrix norm on $A$ where $vert vert Avert vert < 1$. Show that $sum_k geq 0 k A^k$ converges.



      My ideas: Let $m<l$



      $1.$ Let $vertvertsum_k=0^lkA^k-sum_k=0^mkA^kvertvert=vertvertsum_k=m+1^lkA^kvertvertleq sum_k=m+1^lvertvert kA^kvertvert=sum_k=m+1^lvert kvert vert vert A^kvertvertleq sum_k=m+1^lvert kvert vert vert Avertvert^k$



      If I can remove $vert k vert$ then I am can show that it is a cauchy sequence and subsequently a convergent sequence.



      other ideas: Am I allowed to simply take the derivative of $sum_k geq 0 k A^k$, but how would I then be able to compare $sum_k geq 0 k A^k$ and $sum_k geq 0 A^k$? Looking for tips.







      matrices convergence optimization






      share|cite|improve this question













      share|cite|improve this question











      share|cite|improve this question




      share|cite|improve this question










      asked Mar 18 at 19:53









      SABOYSABOY

      710311




      710311




















          1 Answer
          1






          active

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          1












          $begingroup$

          You could do it like this:



          1. $sum_k=0^infty kcdot q^k$ converges for every $q$ with $qin(-1,1)$ (Ratio test)


          2. $sum_k=0^infty|kA^k|leqsum_k=0^infty kcdot |A|^k<infty$


          3. If $(x_k)$ is a sequence in a Banach space with $sum_k=0^infty|x_k|<infty$ then $sum_k=0^infty x_k$ converges






          share|cite|improve this answer











          $endgroup$













            Your Answer





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            1












            $begingroup$

            You could do it like this:



            1. $sum_k=0^infty kcdot q^k$ converges for every $q$ with $qin(-1,1)$ (Ratio test)


            2. $sum_k=0^infty|kA^k|leqsum_k=0^infty kcdot |A|^k<infty$


            3. If $(x_k)$ is a sequence in a Banach space with $sum_k=0^infty|x_k|<infty$ then $sum_k=0^infty x_k$ converges






            share|cite|improve this answer











            $endgroup$

















              1












              $begingroup$

              You could do it like this:



              1. $sum_k=0^infty kcdot q^k$ converges for every $q$ with $qin(-1,1)$ (Ratio test)


              2. $sum_k=0^infty|kA^k|leqsum_k=0^infty kcdot |A|^k<infty$


              3. If $(x_k)$ is a sequence in a Banach space with $sum_k=0^infty|x_k|<infty$ then $sum_k=0^infty x_k$ converges






              share|cite|improve this answer











              $endgroup$















                1












                1








                1





                $begingroup$

                You could do it like this:



                1. $sum_k=0^infty kcdot q^k$ converges for every $q$ with $qin(-1,1)$ (Ratio test)


                2. $sum_k=0^infty|kA^k|leqsum_k=0^infty kcdot |A|^k<infty$


                3. If $(x_k)$ is a sequence in a Banach space with $sum_k=0^infty|x_k|<infty$ then $sum_k=0^infty x_k$ converges






                share|cite|improve this answer











                $endgroup$



                You could do it like this:



                1. $sum_k=0^infty kcdot q^k$ converges for every $q$ with $qin(-1,1)$ (Ratio test)


                2. $sum_k=0^infty|kA^k|leqsum_k=0^infty kcdot |A|^k<infty$


                3. If $(x_k)$ is a sequence in a Banach space with $sum_k=0^infty|x_k|<infty$ then $sum_k=0^infty x_k$ converges







                share|cite|improve this answer














                share|cite|improve this answer



                share|cite|improve this answer








                edited 2 days ago

























                answered Mar 18 at 20:08









                triitrii

                80817




                80817



























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