$B _{ell ^{2}} ^{+}$ with the norm $Vertvert cdot Vertvert _{sqrt{2}}$ don't have normal structure











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Consider the space $ell ^{2}$ with the standard norm
begin{align*}
Vert x Vert _{2} = left( sum _{i =1} ^{infty} x _{i} ^{2} right) ^{1/2}
end{align*}

and we define the equivalent norm
begin{align*}
Vertvert x Vertvert _{sqrt{2}}= max{ Vert x Vert _{2}, sqrt{2}Vert x Vert _{infty} } mbox{.}
end{align*}



Let's define the positive part of the unit ball
begin{align*}
B _{ell ^{2}} ^{+} = lbrace x in ell ^{2}: ; Vert x Vert _{2} leqslant 1, ; x _{i} geqslant 0 rbrace mbox{.}
end{align*}

I want show that $B _{ell ^{2}} ^{+}$ with the norm $Vertvert cdot Vertvert _{sqrt{2}}$ don't have normal structure, and for show that, I should show that diam$(B _{ell ^{2}} ^{+})$ = $r _{x}(B _{ell ^{2}} ^{+})$. I showed that diam$(B _{ell ^{2}} ^{+}) = 1$, but I don't know why $r _{x}(B _{ell ^{2}} ^{+}) =1$. What element in $B _{ell ^{2}} ^{+}$ can take for prove that $r _{x}(B _{ell ^{2}} ^{+}) =1$?










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    up vote
    0
    down vote

    favorite












    Consider the space $ell ^{2}$ with the standard norm
    begin{align*}
    Vert x Vert _{2} = left( sum _{i =1} ^{infty} x _{i} ^{2} right) ^{1/2}
    end{align*}

    and we define the equivalent norm
    begin{align*}
    Vertvert x Vertvert _{sqrt{2}}= max{ Vert x Vert _{2}, sqrt{2}Vert x Vert _{infty} } mbox{.}
    end{align*}



    Let's define the positive part of the unit ball
    begin{align*}
    B _{ell ^{2}} ^{+} = lbrace x in ell ^{2}: ; Vert x Vert _{2} leqslant 1, ; x _{i} geqslant 0 rbrace mbox{.}
    end{align*}

    I want show that $B _{ell ^{2}} ^{+}$ with the norm $Vertvert cdot Vertvert _{sqrt{2}}$ don't have normal structure, and for show that, I should show that diam$(B _{ell ^{2}} ^{+})$ = $r _{x}(B _{ell ^{2}} ^{+})$. I showed that diam$(B _{ell ^{2}} ^{+}) = 1$, but I don't know why $r _{x}(B _{ell ^{2}} ^{+}) =1$. What element in $B _{ell ^{2}} ^{+}$ can take for prove that $r _{x}(B _{ell ^{2}} ^{+}) =1$?










    share|cite|improve this question


























      up vote
      0
      down vote

      favorite









      up vote
      0
      down vote

      favorite











      Consider the space $ell ^{2}$ with the standard norm
      begin{align*}
      Vert x Vert _{2} = left( sum _{i =1} ^{infty} x _{i} ^{2} right) ^{1/2}
      end{align*}

      and we define the equivalent norm
      begin{align*}
      Vertvert x Vertvert _{sqrt{2}}= max{ Vert x Vert _{2}, sqrt{2}Vert x Vert _{infty} } mbox{.}
      end{align*}



      Let's define the positive part of the unit ball
      begin{align*}
      B _{ell ^{2}} ^{+} = lbrace x in ell ^{2}: ; Vert x Vert _{2} leqslant 1, ; x _{i} geqslant 0 rbrace mbox{.}
      end{align*}

      I want show that $B _{ell ^{2}} ^{+}$ with the norm $Vertvert cdot Vertvert _{sqrt{2}}$ don't have normal structure, and for show that, I should show that diam$(B _{ell ^{2}} ^{+})$ = $r _{x}(B _{ell ^{2}} ^{+})$. I showed that diam$(B _{ell ^{2}} ^{+}) = 1$, but I don't know why $r _{x}(B _{ell ^{2}} ^{+}) =1$. What element in $B _{ell ^{2}} ^{+}$ can take for prove that $r _{x}(B _{ell ^{2}} ^{+}) =1$?










      share|cite|improve this question















      Consider the space $ell ^{2}$ with the standard norm
      begin{align*}
      Vert x Vert _{2} = left( sum _{i =1} ^{infty} x _{i} ^{2} right) ^{1/2}
      end{align*}

      and we define the equivalent norm
      begin{align*}
      Vertvert x Vertvert _{sqrt{2}}= max{ Vert x Vert _{2}, sqrt{2}Vert x Vert _{infty} } mbox{.}
      end{align*}



      Let's define the positive part of the unit ball
      begin{align*}
      B _{ell ^{2}} ^{+} = lbrace x in ell ^{2}: ; Vert x Vert _{2} leqslant 1, ; x _{i} geqslant 0 rbrace mbox{.}
      end{align*}

      I want show that $B _{ell ^{2}} ^{+}$ with the norm $Vertvert cdot Vertvert _{sqrt{2}}$ don't have normal structure, and for show that, I should show that diam$(B _{ell ^{2}} ^{+})$ = $r _{x}(B _{ell ^{2}} ^{+})$. I showed that diam$(B _{ell ^{2}} ^{+}) = 1$, but I don't know why $r _{x}(B _{ell ^{2}} ^{+}) =1$. What element in $B _{ell ^{2}} ^{+}$ can take for prove that $r _{x}(B _{ell ^{2}} ^{+}) =1$?







      functional-analysis fixedpoints






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      edited Nov 20 at 2:09

























      asked Nov 19 at 21:44









      Amanda Gael

      155




      155






















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          accepted










          You can take $x_i=2^{-i/2}$, and then the distance of this element from zero is precisely $1$ in your norm, because the sum of the squares is $1$ and the supremum is $1/sqrt{2}$.






          share|cite|improve this answer





















          • Thanks for help me :)
            – Amanda Gael
            Nov 20 at 2:11










          • the sequence $ y$ with each $ y_ {i} = 2 ^ {- 1/2} $ if it belongs to the ball, but the norm of $ x - and $ has a different result: how $Vertvert x - y Vertvert _{sqrt{2}}= max { Vert x - y Vert _{2}, sqrt{2} Vert x - y Vert _{infty} }$, so we have that
            – Amanda Gael
            Dec 4 at 1:35












          • begin{align*} Vert x - y Vert _{2} &= left( sum _{i = 1} ^{infty} (x - y) right) ^{1/2} \ &= left( sum _{i = 1} ^{infty} x _{i} ^{2} - 2 sum _{i = 1} ^{infty} frac{x _{i}}{2 ^{i/2}} + sum _{i = 1} ^{infty} frac{1}{2 ^{i/2}} right) ^{1/2} end{align*}
            – Amanda Gael
            Dec 4 at 2:02











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          1 Answer
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          active

          oldest

          votes








          1 Answer
          1






          active

          oldest

          votes









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          active

          oldest

          votes








          up vote
          1
          down vote



          accepted










          You can take $x_i=2^{-i/2}$, and then the distance of this element from zero is precisely $1$ in your norm, because the sum of the squares is $1$ and the supremum is $1/sqrt{2}$.






          share|cite|improve this answer





















          • Thanks for help me :)
            – Amanda Gael
            Nov 20 at 2:11










          • the sequence $ y$ with each $ y_ {i} = 2 ^ {- 1/2} $ if it belongs to the ball, but the norm of $ x - and $ has a different result: how $Vertvert x - y Vertvert _{sqrt{2}}= max { Vert x - y Vert _{2}, sqrt{2} Vert x - y Vert _{infty} }$, so we have that
            – Amanda Gael
            Dec 4 at 1:35












          • begin{align*} Vert x - y Vert _{2} &= left( sum _{i = 1} ^{infty} (x - y) right) ^{1/2} \ &= left( sum _{i = 1} ^{infty} x _{i} ^{2} - 2 sum _{i = 1} ^{infty} frac{x _{i}}{2 ^{i/2}} + sum _{i = 1} ^{infty} frac{1}{2 ^{i/2}} right) ^{1/2} end{align*}
            – Amanda Gael
            Dec 4 at 2:02















          up vote
          1
          down vote



          accepted










          You can take $x_i=2^{-i/2}$, and then the distance of this element from zero is precisely $1$ in your norm, because the sum of the squares is $1$ and the supremum is $1/sqrt{2}$.






          share|cite|improve this answer





















          • Thanks for help me :)
            – Amanda Gael
            Nov 20 at 2:11










          • the sequence $ y$ with each $ y_ {i} = 2 ^ {- 1/2} $ if it belongs to the ball, but the norm of $ x - and $ has a different result: how $Vertvert x - y Vertvert _{sqrt{2}}= max { Vert x - y Vert _{2}, sqrt{2} Vert x - y Vert _{infty} }$, so we have that
            – Amanda Gael
            Dec 4 at 1:35












          • begin{align*} Vert x - y Vert _{2} &= left( sum _{i = 1} ^{infty} (x - y) right) ^{1/2} \ &= left( sum _{i = 1} ^{infty} x _{i} ^{2} - 2 sum _{i = 1} ^{infty} frac{x _{i}}{2 ^{i/2}} + sum _{i = 1} ^{infty} frac{1}{2 ^{i/2}} right) ^{1/2} end{align*}
            – Amanda Gael
            Dec 4 at 2:02













          up vote
          1
          down vote



          accepted







          up vote
          1
          down vote



          accepted






          You can take $x_i=2^{-i/2}$, and then the distance of this element from zero is precisely $1$ in your norm, because the sum of the squares is $1$ and the supremum is $1/sqrt{2}$.






          share|cite|improve this answer












          You can take $x_i=2^{-i/2}$, and then the distance of this element from zero is precisely $1$ in your norm, because the sum of the squares is $1$ and the supremum is $1/sqrt{2}$.







          share|cite|improve this answer












          share|cite|improve this answer



          share|cite|improve this answer










          answered Nov 19 at 22:09









          uniquesolution

          8,631823




          8,631823












          • Thanks for help me :)
            – Amanda Gael
            Nov 20 at 2:11










          • the sequence $ y$ with each $ y_ {i} = 2 ^ {- 1/2} $ if it belongs to the ball, but the norm of $ x - and $ has a different result: how $Vertvert x - y Vertvert _{sqrt{2}}= max { Vert x - y Vert _{2}, sqrt{2} Vert x - y Vert _{infty} }$, so we have that
            – Amanda Gael
            Dec 4 at 1:35












          • begin{align*} Vert x - y Vert _{2} &= left( sum _{i = 1} ^{infty} (x - y) right) ^{1/2} \ &= left( sum _{i = 1} ^{infty} x _{i} ^{2} - 2 sum _{i = 1} ^{infty} frac{x _{i}}{2 ^{i/2}} + sum _{i = 1} ^{infty} frac{1}{2 ^{i/2}} right) ^{1/2} end{align*}
            – Amanda Gael
            Dec 4 at 2:02


















          • Thanks for help me :)
            – Amanda Gael
            Nov 20 at 2:11










          • the sequence $ y$ with each $ y_ {i} = 2 ^ {- 1/2} $ if it belongs to the ball, but the norm of $ x - and $ has a different result: how $Vertvert x - y Vertvert _{sqrt{2}}= max { Vert x - y Vert _{2}, sqrt{2} Vert x - y Vert _{infty} }$, so we have that
            – Amanda Gael
            Dec 4 at 1:35












          • begin{align*} Vert x - y Vert _{2} &= left( sum _{i = 1} ^{infty} (x - y) right) ^{1/2} \ &= left( sum _{i = 1} ^{infty} x _{i} ^{2} - 2 sum _{i = 1} ^{infty} frac{x _{i}}{2 ^{i/2}} + sum _{i = 1} ^{infty} frac{1}{2 ^{i/2}} right) ^{1/2} end{align*}
            – Amanda Gael
            Dec 4 at 2:02
















          Thanks for help me :)
          – Amanda Gael
          Nov 20 at 2:11




          Thanks for help me :)
          – Amanda Gael
          Nov 20 at 2:11












          the sequence $ y$ with each $ y_ {i} = 2 ^ {- 1/2} $ if it belongs to the ball, but the norm of $ x - and $ has a different result: how $Vertvert x - y Vertvert _{sqrt{2}}= max { Vert x - y Vert _{2}, sqrt{2} Vert x - y Vert _{infty} }$, so we have that
          – Amanda Gael
          Dec 4 at 1:35






          the sequence $ y$ with each $ y_ {i} = 2 ^ {- 1/2} $ if it belongs to the ball, but the norm of $ x - and $ has a different result: how $Vertvert x - y Vertvert _{sqrt{2}}= max { Vert x - y Vert _{2}, sqrt{2} Vert x - y Vert _{infty} }$, so we have that
          – Amanda Gael
          Dec 4 at 1:35














          begin{align*} Vert x - y Vert _{2} &= left( sum _{i = 1} ^{infty} (x - y) right) ^{1/2} \ &= left( sum _{i = 1} ^{infty} x _{i} ^{2} - 2 sum _{i = 1} ^{infty} frac{x _{i}}{2 ^{i/2}} + sum _{i = 1} ^{infty} frac{1}{2 ^{i/2}} right) ^{1/2} end{align*}
          – Amanda Gael
          Dec 4 at 2:02




          begin{align*} Vert x - y Vert _{2} &= left( sum _{i = 1} ^{infty} (x - y) right) ^{1/2} \ &= left( sum _{i = 1} ^{infty} x _{i} ^{2} - 2 sum _{i = 1} ^{infty} frac{x _{i}}{2 ^{i/2}} + sum _{i = 1} ^{infty} frac{1}{2 ^{i/2}} right) ^{1/2} end{align*}
          – Amanda Gael
          Dec 4 at 2:02


















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