If $|f(x) | leq |x|$, then the sup norm $| f | = 1$











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Recall $| f | = sup {|f| : x in M, | x | leq 1 }$, then if $|f(x) | leq |x|$, then the sup norm $| f | = 1$?



This was used in a proof in Rudin's Real and Complex analysis in his Hahn Banach theorem proof.



Doesn't this only show $| f | leq 1$? How do I get the other inequality?










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  • Must be a typo.
    – Randall
    Nov 17 at 1:59










  • I don't think this is true for unspecified $f$
    – Apocalypse
    Nov 17 at 2:08










  • @Apocalypse it is a linear functional.
    – Hawk
    Nov 17 at 2:08










  • Can you provide more context for how this statement is used in the proof? Perhaps the fact that $lVert frVertge 1$ is implicitly true based on some other property of $f$. (For example, if $f$ is defined so that it is an extension to a larger domain of a function with norm $1$, then the norm of $f$ would have to be at least $1$.)
    – Carmeister
    Nov 17 at 2:08










  • I can, hold on.
    – Hawk
    Nov 17 at 2:09















up vote
0
down vote

favorite













enter image description here




Recall $| f | = sup {|f| : x in M, | x | leq 1 }$, then if $|f(x) | leq |x|$, then the sup norm $| f | = 1$?



This was used in a proof in Rudin's Real and Complex analysis in his Hahn Banach theorem proof.



Doesn't this only show $| f | leq 1$? How do I get the other inequality?










share|cite|improve this question
























  • Must be a typo.
    – Randall
    Nov 17 at 1:59










  • I don't think this is true for unspecified $f$
    – Apocalypse
    Nov 17 at 2:08










  • @Apocalypse it is a linear functional.
    – Hawk
    Nov 17 at 2:08










  • Can you provide more context for how this statement is used in the proof? Perhaps the fact that $lVert frVertge 1$ is implicitly true based on some other property of $f$. (For example, if $f$ is defined so that it is an extension to a larger domain of a function with norm $1$, then the norm of $f$ would have to be at least $1$.)
    – Carmeister
    Nov 17 at 2:08










  • I can, hold on.
    – Hawk
    Nov 17 at 2:09













up vote
0
down vote

favorite









up vote
0
down vote

favorite












enter image description here




Recall $| f | = sup {|f| : x in M, | x | leq 1 }$, then if $|f(x) | leq |x|$, then the sup norm $| f | = 1$?



This was used in a proof in Rudin's Real and Complex analysis in his Hahn Banach theorem proof.



Doesn't this only show $| f | leq 1$? How do I get the other inequality?










share|cite|improve this question
















enter image description here




Recall $| f | = sup {|f| : x in M, | x | leq 1 }$, then if $|f(x) | leq |x|$, then the sup norm $| f | = 1$?



This was used in a proof in Rudin's Real and Complex analysis in his Hahn Banach theorem proof.



Doesn't this only show $| f | leq 1$? How do I get the other inequality?







real-analysis






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share|cite|improve this question













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edited Nov 17 at 11:53









Paul Frost

7,9541527




7,9541527










asked Nov 17 at 1:46









Hawk

5,4381138102




5,4381138102












  • Must be a typo.
    – Randall
    Nov 17 at 1:59










  • I don't think this is true for unspecified $f$
    – Apocalypse
    Nov 17 at 2:08










  • @Apocalypse it is a linear functional.
    – Hawk
    Nov 17 at 2:08










  • Can you provide more context for how this statement is used in the proof? Perhaps the fact that $lVert frVertge 1$ is implicitly true based on some other property of $f$. (For example, if $f$ is defined so that it is an extension to a larger domain of a function with norm $1$, then the norm of $f$ would have to be at least $1$.)
    – Carmeister
    Nov 17 at 2:08










  • I can, hold on.
    – Hawk
    Nov 17 at 2:09


















  • Must be a typo.
    – Randall
    Nov 17 at 1:59










  • I don't think this is true for unspecified $f$
    – Apocalypse
    Nov 17 at 2:08










  • @Apocalypse it is a linear functional.
    – Hawk
    Nov 17 at 2:08










  • Can you provide more context for how this statement is used in the proof? Perhaps the fact that $lVert frVertge 1$ is implicitly true based on some other property of $f$. (For example, if $f$ is defined so that it is an extension to a larger domain of a function with norm $1$, then the norm of $f$ would have to be at least $1$.)
    – Carmeister
    Nov 17 at 2:08










  • I can, hold on.
    – Hawk
    Nov 17 at 2:09
















Must be a typo.
– Randall
Nov 17 at 1:59




Must be a typo.
– Randall
Nov 17 at 1:59












I don't think this is true for unspecified $f$
– Apocalypse
Nov 17 at 2:08




I don't think this is true for unspecified $f$
– Apocalypse
Nov 17 at 2:08












@Apocalypse it is a linear functional.
– Hawk
Nov 17 at 2:08




@Apocalypse it is a linear functional.
– Hawk
Nov 17 at 2:08












Can you provide more context for how this statement is used in the proof? Perhaps the fact that $lVert frVertge 1$ is implicitly true based on some other property of $f$. (For example, if $f$ is defined so that it is an extension to a larger domain of a function with norm $1$, then the norm of $f$ would have to be at least $1$.)
– Carmeister
Nov 17 at 2:08




Can you provide more context for how this statement is used in the proof? Perhaps the fact that $lVert frVertge 1$ is implicitly true based on some other property of $f$. (For example, if $f$ is defined so that it is an extension to a larger domain of a function with norm $1$, then the norm of $f$ would have to be at least $1$.)
– Carmeister
Nov 17 at 2:08












I can, hold on.
– Hawk
Nov 17 at 2:09




I can, hold on.
– Hawk
Nov 17 at 2:09










2 Answers
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As stated in the text, if $|f| = 0$, then $fequiv 0$ the desired extension is $Fequiv 0$.



Otherwise, replace $f$ with $tilde f=dfrac{f}{|f|}$ and proceed with the proof. At the end, you get an extension $tilde F$ for $tilde f$. Then the desired extension for $f$ is just $F(x) := |f|cdot tilde F(x)$, which works by linearity.






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    Since $M_1supset M,$ if $|f|=1geq |f_1|$ then $$1geq |f_1|= sup {frac {|f(y)|}{|y|}:0ne yin M_1}geq$$ $$geq sup {frac {|f(y)|}{|y|}:0ne yin M}=$$ $$=|f|=1.$$






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      2 Answers
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      2 Answers
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      up vote
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      As stated in the text, if $|f| = 0$, then $fequiv 0$ the desired extension is $Fequiv 0$.



      Otherwise, replace $f$ with $tilde f=dfrac{f}{|f|}$ and proceed with the proof. At the end, you get an extension $tilde F$ for $tilde f$. Then the desired extension for $f$ is just $F(x) := |f|cdot tilde F(x)$, which works by linearity.






      share|cite|improve this answer

























        up vote
        1
        down vote













        As stated in the text, if $|f| = 0$, then $fequiv 0$ the desired extension is $Fequiv 0$.



        Otherwise, replace $f$ with $tilde f=dfrac{f}{|f|}$ and proceed with the proof. At the end, you get an extension $tilde F$ for $tilde f$. Then the desired extension for $f$ is just $F(x) := |f|cdot tilde F(x)$, which works by linearity.






        share|cite|improve this answer























          up vote
          1
          down vote










          up vote
          1
          down vote









          As stated in the text, if $|f| = 0$, then $fequiv 0$ the desired extension is $Fequiv 0$.



          Otherwise, replace $f$ with $tilde f=dfrac{f}{|f|}$ and proceed with the proof. At the end, you get an extension $tilde F$ for $tilde f$. Then the desired extension for $f$ is just $F(x) := |f|cdot tilde F(x)$, which works by linearity.






          share|cite|improve this answer












          As stated in the text, if $|f| = 0$, then $fequiv 0$ the desired extension is $Fequiv 0$.



          Otherwise, replace $f$ with $tilde f=dfrac{f}{|f|}$ and proceed with the proof. At the end, you get an extension $tilde F$ for $tilde f$. Then the desired extension for $f$ is just $F(x) := |f|cdot tilde F(x)$, which works by linearity.







          share|cite|improve this answer












          share|cite|improve this answer



          share|cite|improve this answer










          answered Nov 17 at 2:48









          Dosidis

          41129




          41129






















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              Since $M_1supset M,$ if $|f|=1geq |f_1|$ then $$1geq |f_1|= sup {frac {|f(y)|}{|y|}:0ne yin M_1}geq$$ $$geq sup {frac {|f(y)|}{|y|}:0ne yin M}=$$ $$=|f|=1.$$






              share|cite|improve this answer

























                up vote
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                down vote













                Since $M_1supset M,$ if $|f|=1geq |f_1|$ then $$1geq |f_1|= sup {frac {|f(y)|}{|y|}:0ne yin M_1}geq$$ $$geq sup {frac {|f(y)|}{|y|}:0ne yin M}=$$ $$=|f|=1.$$






                share|cite|improve this answer























                  up vote
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                  up vote
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                  Since $M_1supset M,$ if $|f|=1geq |f_1|$ then $$1geq |f_1|= sup {frac {|f(y)|}{|y|}:0ne yin M_1}geq$$ $$geq sup {frac {|f(y)|}{|y|}:0ne yin M}=$$ $$=|f|=1.$$






                  share|cite|improve this answer












                  Since $M_1supset M,$ if $|f|=1geq |f_1|$ then $$1geq |f_1|= sup {frac {|f(y)|}{|y|}:0ne yin M_1}geq$$ $$geq sup {frac {|f(y)|}{|y|}:0ne yin M}=$$ $$=|f|=1.$$







                  share|cite|improve this answer












                  share|cite|improve this answer



                  share|cite|improve this answer










                  answered Nov 17 at 11:46









                  DanielWainfleet

                  33.7k31647




                  33.7k31647






























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