$B _{ell ^{2}} ^{+}$ 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 $r _{x}(B _{ell ^{2}} ^{+}) =1$?
functional-analysis fixedpoints
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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 $r _{x}(B _{ell ^{2}} ^{+}) =1$?
functional-analysis fixedpoints
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up vote
0
down vote
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up vote
0
down vote
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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 $r _{x}(B _{ell ^{2}} ^{+}) =1$?
functional-analysis fixedpoints
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
functional-analysis fixedpoints
edited Nov 20 at 2:09
asked Nov 19 at 21:44
Amanda Gael
155
155
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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 $1/sqrt{2}$.
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
add a comment |
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1 Answer
1
active
oldest
votes
1 Answer
1
active
oldest
votes
active
oldest
votes
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 $1/sqrt{2}$.
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
add a comment |
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 $1/sqrt{2}$.
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
add a comment |
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 $1/sqrt{2}$.
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 $1/sqrt{2}$.
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
add a comment |
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
add a comment |
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