T linear continuous function of normed spaces with $|T|<1$, then $|T^n|le |T|^n$












2














Let $E$ be a Banach space (complete normed vector space) and $T:Eto
E$
linear and continuous with $|T|<1$, with the norm $|f|=sup_{xin S}|f(x)|$ where $S$ is the unit sphere $S = {xin E$ st. $|x|=1 }$. Then $|T^n|le |T|^n$ for any $nge 0$.



I'm trying by induction: for $n=0, |Id| = 1$. For $n+1$ I think I should use $|T cdot S|le |T||S|$ but I'm stuck in proving this last inequality.



Thanks in advance for any hints.










share|cite|improve this question





























    2














    Let $E$ be a Banach space (complete normed vector space) and $T:Eto
    E$
    linear and continuous with $|T|<1$, with the norm $|f|=sup_{xin S}|f(x)|$ where $S$ is the unit sphere $S = {xin E$ st. $|x|=1 }$. Then $|T^n|le |T|^n$ for any $nge 0$.



    I'm trying by induction: for $n=0, |Id| = 1$. For $n+1$ I think I should use $|T cdot S|le |T||S|$ but I'm stuck in proving this last inequality.



    Thanks in advance for any hints.










    share|cite|improve this question



























      2












      2








      2







      Let $E$ be a Banach space (complete normed vector space) and $T:Eto
      E$
      linear and continuous with $|T|<1$, with the norm $|f|=sup_{xin S}|f(x)|$ where $S$ is the unit sphere $S = {xin E$ st. $|x|=1 }$. Then $|T^n|le |T|^n$ for any $nge 0$.



      I'm trying by induction: for $n=0, |Id| = 1$. For $n+1$ I think I should use $|T cdot S|le |T||S|$ but I'm stuck in proving this last inequality.



      Thanks in advance for any hints.










      share|cite|improve this question















      Let $E$ be a Banach space (complete normed vector space) and $T:Eto
      E$
      linear and continuous with $|T|<1$, with the norm $|f|=sup_{xin S}|f(x)|$ where $S$ is the unit sphere $S = {xin E$ st. $|x|=1 }$. Then $|T^n|le |T|^n$ for any $nge 0$.



      I'm trying by induction: for $n=0, |Id| = 1$. For $n+1$ I think I should use $|T cdot S|le |T||S|$ but I'm stuck in proving this last inequality.



      Thanks in advance for any hints.







      linear-algebra metric-spaces






      share|cite|improve this question















      share|cite|improve this question













      share|cite|improve this question




      share|cite|improve this question








      edited Nov 27 '18 at 22:11

























      asked Nov 27 '18 at 20:48









      AnalyticHarmony

      642313




      642313






















          2 Answers
          2






          active

          oldest

          votes


















          4














          To prove the first inequality:
          $$
          |TS| = sup_{|x| = 1}|TSx| leq|T| sup_{|x| = 1}|Sx| leq |T||S|
          $$

          This follows from the fact that for any $x$:
          $$
          |Tx| = left|T left(|x|frac{x}{|x|}right)right| = |x|left|T left(frac{x}{|x|}right)right| leq |x|sup_{y = 1} |Ty| = |x||T|
          $$

          And this result uses the fact that $frac{x}{|x|}$ is a unit (norm 1) vector.






          share|cite|improve this answer





























            2














            Your thoughts are correct. In fact you nearly have it. Your base case is correct, and you have the right idea for the inductive step.



            To complete it, just observe the following
            $$|T^{n+1}|=|T^nT|le |T^n||T|le |T|^n|T|=|T|^{n+1},$$
            where the first inequality is the inequality you think you should use and the second is the inductive hypothesis.






            share|cite|improve this answer





















            • And how can one prove that first inequality?
              – AnalyticHarmony
              Nov 27 '18 at 22:07










            • @AnalyticHarmony Ah sorry, I misunderstood your question, I see you've edited and rubikscube09 has given a good answer.
              – jgon
              Nov 28 '18 at 21:24











            Your Answer





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            2 Answers
            2






            active

            oldest

            votes








            2 Answers
            2






            active

            oldest

            votes









            active

            oldest

            votes






            active

            oldest

            votes









            4














            To prove the first inequality:
            $$
            |TS| = sup_{|x| = 1}|TSx| leq|T| sup_{|x| = 1}|Sx| leq |T||S|
            $$

            This follows from the fact that for any $x$:
            $$
            |Tx| = left|T left(|x|frac{x}{|x|}right)right| = |x|left|T left(frac{x}{|x|}right)right| leq |x|sup_{y = 1} |Ty| = |x||T|
            $$

            And this result uses the fact that $frac{x}{|x|}$ is a unit (norm 1) vector.






            share|cite|improve this answer


























              4














              To prove the first inequality:
              $$
              |TS| = sup_{|x| = 1}|TSx| leq|T| sup_{|x| = 1}|Sx| leq |T||S|
              $$

              This follows from the fact that for any $x$:
              $$
              |Tx| = left|T left(|x|frac{x}{|x|}right)right| = |x|left|T left(frac{x}{|x|}right)right| leq |x|sup_{y = 1} |Ty| = |x||T|
              $$

              And this result uses the fact that $frac{x}{|x|}$ is a unit (norm 1) vector.






              share|cite|improve this answer
























                4












                4








                4






                To prove the first inequality:
                $$
                |TS| = sup_{|x| = 1}|TSx| leq|T| sup_{|x| = 1}|Sx| leq |T||S|
                $$

                This follows from the fact that for any $x$:
                $$
                |Tx| = left|T left(|x|frac{x}{|x|}right)right| = |x|left|T left(frac{x}{|x|}right)right| leq |x|sup_{y = 1} |Ty| = |x||T|
                $$

                And this result uses the fact that $frac{x}{|x|}$ is a unit (norm 1) vector.






                share|cite|improve this answer












                To prove the first inequality:
                $$
                |TS| = sup_{|x| = 1}|TSx| leq|T| sup_{|x| = 1}|Sx| leq |T||S|
                $$

                This follows from the fact that for any $x$:
                $$
                |Tx| = left|T left(|x|frac{x}{|x|}right)right| = |x|left|T left(frac{x}{|x|}right)right| leq |x|sup_{y = 1} |Ty| = |x||T|
                $$

                And this result uses the fact that $frac{x}{|x|}$ is a unit (norm 1) vector.







                share|cite|improve this answer












                share|cite|improve this answer



                share|cite|improve this answer










                answered Nov 27 '18 at 22:23









                rubikscube09

                1,169717




                1,169717























                    2














                    Your thoughts are correct. In fact you nearly have it. Your base case is correct, and you have the right idea for the inductive step.



                    To complete it, just observe the following
                    $$|T^{n+1}|=|T^nT|le |T^n||T|le |T|^n|T|=|T|^{n+1},$$
                    where the first inequality is the inequality you think you should use and the second is the inductive hypothesis.






                    share|cite|improve this answer





















                    • And how can one prove that first inequality?
                      – AnalyticHarmony
                      Nov 27 '18 at 22:07










                    • @AnalyticHarmony Ah sorry, I misunderstood your question, I see you've edited and rubikscube09 has given a good answer.
                      – jgon
                      Nov 28 '18 at 21:24
















                    2














                    Your thoughts are correct. In fact you nearly have it. Your base case is correct, and you have the right idea for the inductive step.



                    To complete it, just observe the following
                    $$|T^{n+1}|=|T^nT|le |T^n||T|le |T|^n|T|=|T|^{n+1},$$
                    where the first inequality is the inequality you think you should use and the second is the inductive hypothesis.






                    share|cite|improve this answer





















                    • And how can one prove that first inequality?
                      – AnalyticHarmony
                      Nov 27 '18 at 22:07










                    • @AnalyticHarmony Ah sorry, I misunderstood your question, I see you've edited and rubikscube09 has given a good answer.
                      – jgon
                      Nov 28 '18 at 21:24














                    2












                    2








                    2






                    Your thoughts are correct. In fact you nearly have it. Your base case is correct, and you have the right idea for the inductive step.



                    To complete it, just observe the following
                    $$|T^{n+1}|=|T^nT|le |T^n||T|le |T|^n|T|=|T|^{n+1},$$
                    where the first inequality is the inequality you think you should use and the second is the inductive hypothesis.






                    share|cite|improve this answer












                    Your thoughts are correct. In fact you nearly have it. Your base case is correct, and you have the right idea for the inductive step.



                    To complete it, just observe the following
                    $$|T^{n+1}|=|T^nT|le |T^n||T|le |T|^n|T|=|T|^{n+1},$$
                    where the first inequality is the inequality you think you should use and the second is the inductive hypothesis.







                    share|cite|improve this answer












                    share|cite|improve this answer



                    share|cite|improve this answer










                    answered Nov 27 '18 at 20:52









                    jgon

                    12.8k21940




                    12.8k21940












                    • And how can one prove that first inequality?
                      – AnalyticHarmony
                      Nov 27 '18 at 22:07










                    • @AnalyticHarmony Ah sorry, I misunderstood your question, I see you've edited and rubikscube09 has given a good answer.
                      – jgon
                      Nov 28 '18 at 21:24


















                    • And how can one prove that first inequality?
                      – AnalyticHarmony
                      Nov 27 '18 at 22:07










                    • @AnalyticHarmony Ah sorry, I misunderstood your question, I see you've edited and rubikscube09 has given a good answer.
                      – jgon
                      Nov 28 '18 at 21:24
















                    And how can one prove that first inequality?
                    – AnalyticHarmony
                    Nov 27 '18 at 22:07




                    And how can one prove that first inequality?
                    – AnalyticHarmony
                    Nov 27 '18 at 22:07












                    @AnalyticHarmony Ah sorry, I misunderstood your question, I see you've edited and rubikscube09 has given a good answer.
                    – jgon
                    Nov 28 '18 at 21:24




                    @AnalyticHarmony Ah sorry, I misunderstood your question, I see you've edited and rubikscube09 has given a good answer.
                    – jgon
                    Nov 28 '18 at 21:24


















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