Boundedness of Fredholm integral operator












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$begingroup$


Let $kin C([0,1]^2)$, Define $T_k:C[0,1]to C[0,1]$ such that for $xin C[0,1]$, defined by $(T_kx)(t)=int_{0}^1k(t,s)x(s)ds$. I want to show that $T_k$ is bounded and calculate its operator norm. Is my following proof correct



By definition, $
|T_k|:=sup{||T_kx||_{infty},big|,||x||_{infty}leq 1}.
$
Let $xin C[0,1]$ with $||x||_inftyleq 1$, so $suplimits_{sin[0,1]}|x(s)|leq 1$. Then $$||T_k x||_{infty}=suplimits_{tin[0,1]}bigg|int_{0}^1 k(t,s)x(s)dsbigg|leqsuplimits_{tin[0,1]}int_{0}^{1}|k(t,s)|,|x(s)|,dsleq||x||_inftysuplimits_{tin[0,1]}int_{0}^{1}|k(t,s)|,dsleqsuplimits_{tin[0,1]}int_{0}^{1}|k(t,s)|,ds.$$
It follows that $$|T_k|leqsuplimits_{tin[0,1]}int_{0}^1|k(t,s)|,ds.$$
Let $epsilon>0$ and define for all $tin[0,1]$ $x_epsilon:[0,1]tomathbb{K}$ by $$x_epsilon(s)=frac{overline{k(t,s)}}{|k(t,s)|+epsilon}.$$ Then we remark that $x_epsilon$ is continuous and $||x_epsilon||_{infty}leq 1$. We see that
begin{align*}
||T_k x_e||_{infty}&=suplimits_{tin[0,1]}bigg|int_{0}^{1}frac{|k(t,s)|^2}{|k(t,s)|+epsilon},dsbigg|=suplimits_{tin[0,1]}int_{0}^1frac{|k(t,s)|^2}{|k(t,s)|+epsilon},dsgeqsuplimits_{tin[0,1]}int_{0}^1frac{|k(t,s)|^2-epsilon^2}{|k(t,s)|+epsilon}
,ds=\&suplimits_{tin[0,1]}int_{0}^1(|k(t,s)|-epsilon),ds=suplimits_{tin[0,1]}int_{0}^{1}|k(t,s)|,ds-epsilon.
end{align*}

We see that $$|T_k|geqsuplimits_{epsilon>0}||T_kx_epsilon||_inftygeqsuplimits_{tin[0,1]}int_{0}^1|k(t,s)|,ds.$$
Combining this with our previous estimate of $|T_k|$, we conclude that $|T_k|=suplimits_{tin[0,1]}int_{0}^{1}|k(t,s)|,ds,$ which concludes our proof.










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    $begingroup$


    Let $kin C([0,1]^2)$, Define $T_k:C[0,1]to C[0,1]$ such that for $xin C[0,1]$, defined by $(T_kx)(t)=int_{0}^1k(t,s)x(s)ds$. I want to show that $T_k$ is bounded and calculate its operator norm. Is my following proof correct



    By definition, $
    |T_k|:=sup{||T_kx||_{infty},big|,||x||_{infty}leq 1}.
    $
    Let $xin C[0,1]$ with $||x||_inftyleq 1$, so $suplimits_{sin[0,1]}|x(s)|leq 1$. Then $$||T_k x||_{infty}=suplimits_{tin[0,1]}bigg|int_{0}^1 k(t,s)x(s)dsbigg|leqsuplimits_{tin[0,1]}int_{0}^{1}|k(t,s)|,|x(s)|,dsleq||x||_inftysuplimits_{tin[0,1]}int_{0}^{1}|k(t,s)|,dsleqsuplimits_{tin[0,1]}int_{0}^{1}|k(t,s)|,ds.$$
    It follows that $$|T_k|leqsuplimits_{tin[0,1]}int_{0}^1|k(t,s)|,ds.$$
    Let $epsilon>0$ and define for all $tin[0,1]$ $x_epsilon:[0,1]tomathbb{K}$ by $$x_epsilon(s)=frac{overline{k(t,s)}}{|k(t,s)|+epsilon}.$$ Then we remark that $x_epsilon$ is continuous and $||x_epsilon||_{infty}leq 1$. We see that
    begin{align*}
    ||T_k x_e||_{infty}&=suplimits_{tin[0,1]}bigg|int_{0}^{1}frac{|k(t,s)|^2}{|k(t,s)|+epsilon},dsbigg|=suplimits_{tin[0,1]}int_{0}^1frac{|k(t,s)|^2}{|k(t,s)|+epsilon},dsgeqsuplimits_{tin[0,1]}int_{0}^1frac{|k(t,s)|^2-epsilon^2}{|k(t,s)|+epsilon}
    ,ds=\&suplimits_{tin[0,1]}int_{0}^1(|k(t,s)|-epsilon),ds=suplimits_{tin[0,1]}int_{0}^{1}|k(t,s)|,ds-epsilon.
    end{align*}

    We see that $$|T_k|geqsuplimits_{epsilon>0}||T_kx_epsilon||_inftygeqsuplimits_{tin[0,1]}int_{0}^1|k(t,s)|,ds.$$
    Combining this with our previous estimate of $|T_k|$, we conclude that $|T_k|=suplimits_{tin[0,1]}int_{0}^{1}|k(t,s)|,ds,$ which concludes our proof.










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      Let $kin C([0,1]^2)$, Define $T_k:C[0,1]to C[0,1]$ such that for $xin C[0,1]$, defined by $(T_kx)(t)=int_{0}^1k(t,s)x(s)ds$. I want to show that $T_k$ is bounded and calculate its operator norm. Is my following proof correct



      By definition, $
      |T_k|:=sup{||T_kx||_{infty},big|,||x||_{infty}leq 1}.
      $
      Let $xin C[0,1]$ with $||x||_inftyleq 1$, so $suplimits_{sin[0,1]}|x(s)|leq 1$. Then $$||T_k x||_{infty}=suplimits_{tin[0,1]}bigg|int_{0}^1 k(t,s)x(s)dsbigg|leqsuplimits_{tin[0,1]}int_{0}^{1}|k(t,s)|,|x(s)|,dsleq||x||_inftysuplimits_{tin[0,1]}int_{0}^{1}|k(t,s)|,dsleqsuplimits_{tin[0,1]}int_{0}^{1}|k(t,s)|,ds.$$
      It follows that $$|T_k|leqsuplimits_{tin[0,1]}int_{0}^1|k(t,s)|,ds.$$
      Let $epsilon>0$ and define for all $tin[0,1]$ $x_epsilon:[0,1]tomathbb{K}$ by $$x_epsilon(s)=frac{overline{k(t,s)}}{|k(t,s)|+epsilon}.$$ Then we remark that $x_epsilon$ is continuous and $||x_epsilon||_{infty}leq 1$. We see that
      begin{align*}
      ||T_k x_e||_{infty}&=suplimits_{tin[0,1]}bigg|int_{0}^{1}frac{|k(t,s)|^2}{|k(t,s)|+epsilon},dsbigg|=suplimits_{tin[0,1]}int_{0}^1frac{|k(t,s)|^2}{|k(t,s)|+epsilon},dsgeqsuplimits_{tin[0,1]}int_{0}^1frac{|k(t,s)|^2-epsilon^2}{|k(t,s)|+epsilon}
      ,ds=\&suplimits_{tin[0,1]}int_{0}^1(|k(t,s)|-epsilon),ds=suplimits_{tin[0,1]}int_{0}^{1}|k(t,s)|,ds-epsilon.
      end{align*}

      We see that $$|T_k|geqsuplimits_{epsilon>0}||T_kx_epsilon||_inftygeqsuplimits_{tin[0,1]}int_{0}^1|k(t,s)|,ds.$$
      Combining this with our previous estimate of $|T_k|$, we conclude that $|T_k|=suplimits_{tin[0,1]}int_{0}^{1}|k(t,s)|,ds,$ which concludes our proof.










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      Let $kin C([0,1]^2)$, Define $T_k:C[0,1]to C[0,1]$ such that for $xin C[0,1]$, defined by $(T_kx)(t)=int_{0}^1k(t,s)x(s)ds$. I want to show that $T_k$ is bounded and calculate its operator norm. Is my following proof correct



      By definition, $
      |T_k|:=sup{||T_kx||_{infty},big|,||x||_{infty}leq 1}.
      $
      Let $xin C[0,1]$ with $||x||_inftyleq 1$, so $suplimits_{sin[0,1]}|x(s)|leq 1$. Then $$||T_k x||_{infty}=suplimits_{tin[0,1]}bigg|int_{0}^1 k(t,s)x(s)dsbigg|leqsuplimits_{tin[0,1]}int_{0}^{1}|k(t,s)|,|x(s)|,dsleq||x||_inftysuplimits_{tin[0,1]}int_{0}^{1}|k(t,s)|,dsleqsuplimits_{tin[0,1]}int_{0}^{1}|k(t,s)|,ds.$$
      It follows that $$|T_k|leqsuplimits_{tin[0,1]}int_{0}^1|k(t,s)|,ds.$$
      Let $epsilon>0$ and define for all $tin[0,1]$ $x_epsilon:[0,1]tomathbb{K}$ by $$x_epsilon(s)=frac{overline{k(t,s)}}{|k(t,s)|+epsilon}.$$ Then we remark that $x_epsilon$ is continuous and $||x_epsilon||_{infty}leq 1$. We see that
      begin{align*}
      ||T_k x_e||_{infty}&=suplimits_{tin[0,1]}bigg|int_{0}^{1}frac{|k(t,s)|^2}{|k(t,s)|+epsilon},dsbigg|=suplimits_{tin[0,1]}int_{0}^1frac{|k(t,s)|^2}{|k(t,s)|+epsilon},dsgeqsuplimits_{tin[0,1]}int_{0}^1frac{|k(t,s)|^2-epsilon^2}{|k(t,s)|+epsilon}
      ,ds=\&suplimits_{tin[0,1]}int_{0}^1(|k(t,s)|-epsilon),ds=suplimits_{tin[0,1]}int_{0}^{1}|k(t,s)|,ds-epsilon.
      end{align*}

      We see that $$|T_k|geqsuplimits_{epsilon>0}||T_kx_epsilon||_inftygeqsuplimits_{tin[0,1]}int_{0}^1|k(t,s)|,ds.$$
      Combining this with our previous estimate of $|T_k|$, we conclude that $|T_k|=suplimits_{tin[0,1]}int_{0}^{1}|k(t,s)|,ds,$ which concludes our proof.







      integration functional-analysis operator-theory






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      edited Dec 17 '18 at 16:58







      James

















      asked Dec 15 '18 at 13:44









      JamesJames

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      863318






















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          $begingroup$

          When you choose
          $$
          x_epsilon(s) = frac{overline{k(t,s)}}{|k(t,s)|+epsilon},
          $$
          the $t$ appearing in the expression should be predetermined and remain fixed in the following calculation. This is what you should fix in your argument. To make this point clear, let us write
          $$
          x_epsilon(s) = frac{overline{k(t_0,s)}}{|k(t_0,s)|+epsilon},
          $$
          for some $t_0in [0,1].$ Then, we have
          $$
          lVert T_k[x_epsilon]rVert_infty geq |T_k[x_epsilon](t_0)| = ∫_0^1 frac{|k(t_0,s)|^2}{|k(t_0,s)|+epsilon}dsgeq ∫_0^1 |k(t_0,s)|ds-epsilon.
          $$
          Accordingly, we can bound $lVert T_krVert$ from below: since $lVert x_epsilon rVert_infty leq 1$, we have
          $$
          lVert T_krVertgeq lVert T_k[x_epsilon]rVert_inftygeq ∫_0^1 |k(t_0,s)|ds-epsilon.
          $$
          Since our choice of $t_0$ was $textbf{arbitrary}$, by taking supremum over $t_0in[0,1]$, we get
          $$
          lVert T_krVert geq sup_{t_0in [0,1]}∫_0^1 |k(t_0,s)|ds-epsilon,
          $$
          for all $epsilon>0$. Finally by taking $epsilon to 0$, we have
          $$
          lVert T_krVert= sup_{tin [0,1]}∫_0^1 |k(t,s)|ds,
          $$
          as desired.






          share|cite|improve this answer











          $endgroup$













          • $begingroup$
            A question concerning your answer, you fixed the $t_0$ when you defined $x_epsilon$, but took afterwards the supremum over all $t_0$, but this estimate works for only 1 specific $t_0$ right?
            $endgroup$
            – James
            Dec 18 '18 at 22:29












          • $begingroup$
            Since our choice of $t_0$ was arbitrary, this bound can be strengthened to $sup_{t_0in [0,1]}∫_0^1 |k(t_o,s)|ds-epsilon$. Does this make it clear?
            $endgroup$
            – Song
            Dec 18 '18 at 22:42










          • $begingroup$
            Yes, Thank you :)
            $endgroup$
            – James
            Dec 18 '18 at 22:43










          • $begingroup$
            No wait, could you please elaborate it because I start to get lost in my head. We define a function $x_epsilon$ for SOME $t_0$, then we find an estimate for $||T_kx_e||$. Now if we take the supremo over $t_0$, don't we change or function $x_e$ if we change $t_0$?
            $endgroup$
            – James
            Dec 18 '18 at 23:09












          • $begingroup$
            Oops, that was my silly mistake! The final estimate should have been about $lVert T_krVert$ rather than $lVert T_k[x_epsilon] rVert_infty$. Sorry about the confusion.
            $endgroup$
            – Song
            Dec 19 '18 at 0:10













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          active

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          1





          +50







          $begingroup$

          When you choose
          $$
          x_epsilon(s) = frac{overline{k(t,s)}}{|k(t,s)|+epsilon},
          $$
          the $t$ appearing in the expression should be predetermined and remain fixed in the following calculation. This is what you should fix in your argument. To make this point clear, let us write
          $$
          x_epsilon(s) = frac{overline{k(t_0,s)}}{|k(t_0,s)|+epsilon},
          $$
          for some $t_0in [0,1].$ Then, we have
          $$
          lVert T_k[x_epsilon]rVert_infty geq |T_k[x_epsilon](t_0)| = ∫_0^1 frac{|k(t_0,s)|^2}{|k(t_0,s)|+epsilon}dsgeq ∫_0^1 |k(t_0,s)|ds-epsilon.
          $$
          Accordingly, we can bound $lVert T_krVert$ from below: since $lVert x_epsilon rVert_infty leq 1$, we have
          $$
          lVert T_krVertgeq lVert T_k[x_epsilon]rVert_inftygeq ∫_0^1 |k(t_0,s)|ds-epsilon.
          $$
          Since our choice of $t_0$ was $textbf{arbitrary}$, by taking supremum over $t_0in[0,1]$, we get
          $$
          lVert T_krVert geq sup_{t_0in [0,1]}∫_0^1 |k(t_0,s)|ds-epsilon,
          $$
          for all $epsilon>0$. Finally by taking $epsilon to 0$, we have
          $$
          lVert T_krVert= sup_{tin [0,1]}∫_0^1 |k(t,s)|ds,
          $$
          as desired.






          share|cite|improve this answer











          $endgroup$













          • $begingroup$
            A question concerning your answer, you fixed the $t_0$ when you defined $x_epsilon$, but took afterwards the supremum over all $t_0$, but this estimate works for only 1 specific $t_0$ right?
            $endgroup$
            – James
            Dec 18 '18 at 22:29












          • $begingroup$
            Since our choice of $t_0$ was arbitrary, this bound can be strengthened to $sup_{t_0in [0,1]}∫_0^1 |k(t_o,s)|ds-epsilon$. Does this make it clear?
            $endgroup$
            – Song
            Dec 18 '18 at 22:42










          • $begingroup$
            Yes, Thank you :)
            $endgroup$
            – James
            Dec 18 '18 at 22:43










          • $begingroup$
            No wait, could you please elaborate it because I start to get lost in my head. We define a function $x_epsilon$ for SOME $t_0$, then we find an estimate for $||T_kx_e||$. Now if we take the supremo over $t_0$, don't we change or function $x_e$ if we change $t_0$?
            $endgroup$
            – James
            Dec 18 '18 at 23:09












          • $begingroup$
            Oops, that was my silly mistake! The final estimate should have been about $lVert T_krVert$ rather than $lVert T_k[x_epsilon] rVert_infty$. Sorry about the confusion.
            $endgroup$
            – Song
            Dec 19 '18 at 0:10


















          1





          +50







          $begingroup$

          When you choose
          $$
          x_epsilon(s) = frac{overline{k(t,s)}}{|k(t,s)|+epsilon},
          $$
          the $t$ appearing in the expression should be predetermined and remain fixed in the following calculation. This is what you should fix in your argument. To make this point clear, let us write
          $$
          x_epsilon(s) = frac{overline{k(t_0,s)}}{|k(t_0,s)|+epsilon},
          $$
          for some $t_0in [0,1].$ Then, we have
          $$
          lVert T_k[x_epsilon]rVert_infty geq |T_k[x_epsilon](t_0)| = ∫_0^1 frac{|k(t_0,s)|^2}{|k(t_0,s)|+epsilon}dsgeq ∫_0^1 |k(t_0,s)|ds-epsilon.
          $$
          Accordingly, we can bound $lVert T_krVert$ from below: since $lVert x_epsilon rVert_infty leq 1$, we have
          $$
          lVert T_krVertgeq lVert T_k[x_epsilon]rVert_inftygeq ∫_0^1 |k(t_0,s)|ds-epsilon.
          $$
          Since our choice of $t_0$ was $textbf{arbitrary}$, by taking supremum over $t_0in[0,1]$, we get
          $$
          lVert T_krVert geq sup_{t_0in [0,1]}∫_0^1 |k(t_0,s)|ds-epsilon,
          $$
          for all $epsilon>0$. Finally by taking $epsilon to 0$, we have
          $$
          lVert T_krVert= sup_{tin [0,1]}∫_0^1 |k(t,s)|ds,
          $$
          as desired.






          share|cite|improve this answer











          $endgroup$













          • $begingroup$
            A question concerning your answer, you fixed the $t_0$ when you defined $x_epsilon$, but took afterwards the supremum over all $t_0$, but this estimate works for only 1 specific $t_0$ right?
            $endgroup$
            – James
            Dec 18 '18 at 22:29












          • $begingroup$
            Since our choice of $t_0$ was arbitrary, this bound can be strengthened to $sup_{t_0in [0,1]}∫_0^1 |k(t_o,s)|ds-epsilon$. Does this make it clear?
            $endgroup$
            – Song
            Dec 18 '18 at 22:42










          • $begingroup$
            Yes, Thank you :)
            $endgroup$
            – James
            Dec 18 '18 at 22:43










          • $begingroup$
            No wait, could you please elaborate it because I start to get lost in my head. We define a function $x_epsilon$ for SOME $t_0$, then we find an estimate for $||T_kx_e||$. Now if we take the supremo over $t_0$, don't we change or function $x_e$ if we change $t_0$?
            $endgroup$
            – James
            Dec 18 '18 at 23:09












          • $begingroup$
            Oops, that was my silly mistake! The final estimate should have been about $lVert T_krVert$ rather than $lVert T_k[x_epsilon] rVert_infty$. Sorry about the confusion.
            $endgroup$
            – Song
            Dec 19 '18 at 0:10
















          1





          +50







          1





          +50



          1




          +50



          $begingroup$

          When you choose
          $$
          x_epsilon(s) = frac{overline{k(t,s)}}{|k(t,s)|+epsilon},
          $$
          the $t$ appearing in the expression should be predetermined and remain fixed in the following calculation. This is what you should fix in your argument. To make this point clear, let us write
          $$
          x_epsilon(s) = frac{overline{k(t_0,s)}}{|k(t_0,s)|+epsilon},
          $$
          for some $t_0in [0,1].$ Then, we have
          $$
          lVert T_k[x_epsilon]rVert_infty geq |T_k[x_epsilon](t_0)| = ∫_0^1 frac{|k(t_0,s)|^2}{|k(t_0,s)|+epsilon}dsgeq ∫_0^1 |k(t_0,s)|ds-epsilon.
          $$
          Accordingly, we can bound $lVert T_krVert$ from below: since $lVert x_epsilon rVert_infty leq 1$, we have
          $$
          lVert T_krVertgeq lVert T_k[x_epsilon]rVert_inftygeq ∫_0^1 |k(t_0,s)|ds-epsilon.
          $$
          Since our choice of $t_0$ was $textbf{arbitrary}$, by taking supremum over $t_0in[0,1]$, we get
          $$
          lVert T_krVert geq sup_{t_0in [0,1]}∫_0^1 |k(t_0,s)|ds-epsilon,
          $$
          for all $epsilon>0$. Finally by taking $epsilon to 0$, we have
          $$
          lVert T_krVert= sup_{tin [0,1]}∫_0^1 |k(t,s)|ds,
          $$
          as desired.






          share|cite|improve this answer











          $endgroup$



          When you choose
          $$
          x_epsilon(s) = frac{overline{k(t,s)}}{|k(t,s)|+epsilon},
          $$
          the $t$ appearing in the expression should be predetermined and remain fixed in the following calculation. This is what you should fix in your argument. To make this point clear, let us write
          $$
          x_epsilon(s) = frac{overline{k(t_0,s)}}{|k(t_0,s)|+epsilon},
          $$
          for some $t_0in [0,1].$ Then, we have
          $$
          lVert T_k[x_epsilon]rVert_infty geq |T_k[x_epsilon](t_0)| = ∫_0^1 frac{|k(t_0,s)|^2}{|k(t_0,s)|+epsilon}dsgeq ∫_0^1 |k(t_0,s)|ds-epsilon.
          $$
          Accordingly, we can bound $lVert T_krVert$ from below: since $lVert x_epsilon rVert_infty leq 1$, we have
          $$
          lVert T_krVertgeq lVert T_k[x_epsilon]rVert_inftygeq ∫_0^1 |k(t_0,s)|ds-epsilon.
          $$
          Since our choice of $t_0$ was $textbf{arbitrary}$, by taking supremum over $t_0in[0,1]$, we get
          $$
          lVert T_krVert geq sup_{t_0in [0,1]}∫_0^1 |k(t_0,s)|ds-epsilon,
          $$
          for all $epsilon>0$. Finally by taking $epsilon to 0$, we have
          $$
          lVert T_krVert= sup_{tin [0,1]}∫_0^1 |k(t,s)|ds,
          $$
          as desired.







          share|cite|improve this answer














          share|cite|improve this answer



          share|cite|improve this answer








          edited Dec 19 '18 at 8:24

























          answered Dec 17 '18 at 18:22









          SongSong

          12.2k630




          12.2k630












          • $begingroup$
            A question concerning your answer, you fixed the $t_0$ when you defined $x_epsilon$, but took afterwards the supremum over all $t_0$, but this estimate works for only 1 specific $t_0$ right?
            $endgroup$
            – James
            Dec 18 '18 at 22:29












          • $begingroup$
            Since our choice of $t_0$ was arbitrary, this bound can be strengthened to $sup_{t_0in [0,1]}∫_0^1 |k(t_o,s)|ds-epsilon$. Does this make it clear?
            $endgroup$
            – Song
            Dec 18 '18 at 22:42










          • $begingroup$
            Yes, Thank you :)
            $endgroup$
            – James
            Dec 18 '18 at 22:43










          • $begingroup$
            No wait, could you please elaborate it because I start to get lost in my head. We define a function $x_epsilon$ for SOME $t_0$, then we find an estimate for $||T_kx_e||$. Now if we take the supremo over $t_0$, don't we change or function $x_e$ if we change $t_0$?
            $endgroup$
            – James
            Dec 18 '18 at 23:09












          • $begingroup$
            Oops, that was my silly mistake! The final estimate should have been about $lVert T_krVert$ rather than $lVert T_k[x_epsilon] rVert_infty$. Sorry about the confusion.
            $endgroup$
            – Song
            Dec 19 '18 at 0:10




















          • $begingroup$
            A question concerning your answer, you fixed the $t_0$ when you defined $x_epsilon$, but took afterwards the supremum over all $t_0$, but this estimate works for only 1 specific $t_0$ right?
            $endgroup$
            – James
            Dec 18 '18 at 22:29












          • $begingroup$
            Since our choice of $t_0$ was arbitrary, this bound can be strengthened to $sup_{t_0in [0,1]}∫_0^1 |k(t_o,s)|ds-epsilon$. Does this make it clear?
            $endgroup$
            – Song
            Dec 18 '18 at 22:42










          • $begingroup$
            Yes, Thank you :)
            $endgroup$
            – James
            Dec 18 '18 at 22:43










          • $begingroup$
            No wait, could you please elaborate it because I start to get lost in my head. We define a function $x_epsilon$ for SOME $t_0$, then we find an estimate for $||T_kx_e||$. Now if we take the supremo over $t_0$, don't we change or function $x_e$ if we change $t_0$?
            $endgroup$
            – James
            Dec 18 '18 at 23:09












          • $begingroup$
            Oops, that was my silly mistake! The final estimate should have been about $lVert T_krVert$ rather than $lVert T_k[x_epsilon] rVert_infty$. Sorry about the confusion.
            $endgroup$
            – Song
            Dec 19 '18 at 0:10


















          $begingroup$
          A question concerning your answer, you fixed the $t_0$ when you defined $x_epsilon$, but took afterwards the supremum over all $t_0$, but this estimate works for only 1 specific $t_0$ right?
          $endgroup$
          – James
          Dec 18 '18 at 22:29






          $begingroup$
          A question concerning your answer, you fixed the $t_0$ when you defined $x_epsilon$, but took afterwards the supremum over all $t_0$, but this estimate works for only 1 specific $t_0$ right?
          $endgroup$
          – James
          Dec 18 '18 at 22:29














          $begingroup$
          Since our choice of $t_0$ was arbitrary, this bound can be strengthened to $sup_{t_0in [0,1]}∫_0^1 |k(t_o,s)|ds-epsilon$. Does this make it clear?
          $endgroup$
          – Song
          Dec 18 '18 at 22:42




          $begingroup$
          Since our choice of $t_0$ was arbitrary, this bound can be strengthened to $sup_{t_0in [0,1]}∫_0^1 |k(t_o,s)|ds-epsilon$. Does this make it clear?
          $endgroup$
          – Song
          Dec 18 '18 at 22:42












          $begingroup$
          Yes, Thank you :)
          $endgroup$
          – James
          Dec 18 '18 at 22:43




          $begingroup$
          Yes, Thank you :)
          $endgroup$
          – James
          Dec 18 '18 at 22:43












          $begingroup$
          No wait, could you please elaborate it because I start to get lost in my head. We define a function $x_epsilon$ for SOME $t_0$, then we find an estimate for $||T_kx_e||$. Now if we take the supremo over $t_0$, don't we change or function $x_e$ if we change $t_0$?
          $endgroup$
          – James
          Dec 18 '18 at 23:09






          $begingroup$
          No wait, could you please elaborate it because I start to get lost in my head. We define a function $x_epsilon$ for SOME $t_0$, then we find an estimate for $||T_kx_e||$. Now if we take the supremo over $t_0$, don't we change or function $x_e$ if we change $t_0$?
          $endgroup$
          – James
          Dec 18 '18 at 23:09














          $begingroup$
          Oops, that was my silly mistake! The final estimate should have been about $lVert T_krVert$ rather than $lVert T_k[x_epsilon] rVert_infty$. Sorry about the confusion.
          $endgroup$
          – Song
          Dec 19 '18 at 0:10






          $begingroup$
          Oops, that was my silly mistake! The final estimate should have been about $lVert T_krVert$ rather than $lVert T_k[x_epsilon] rVert_infty$. Sorry about the confusion.
          $endgroup$
          – Song
          Dec 19 '18 at 0:10




















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