$T$ is a matrix . How to find the desired $M$ such that for every $alpha in R^3$ $|T(alpha) | le M| alpha |$...












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Let $R^3$ denote the Euclidean space ,$|.|$ denote the usual norm. For a matrix $$T=begin{bmatrix}
a_1 & a_2 & a_3 \
a_4 & a_5 & a_6 \
a_7 & a_8 & a_9 \
end{bmatrix}.$$
How to find the desired $M$ such that for every $alpha in R^3$ $$|T(alpha) | le M| alpha |.$$

(a) Find $e_1 ,e_2 ,e_3$ which form a basis of $R^3$ then we can have $| T(e_i) | le A_i |e_i | $ , let $M_1 = max {A_1,A_2,A_3 }.$



(b) Find $e_1 ,e_2 ,e_3$ which form a orthogonormal basis of $R^3$ then we can have $| T(e_i) | le A_i |e_i | $ , let $M_2 = max {A_1,A_2,A_3 }.$



(c) Let $t_1 , t_2 ,t_3$ denote the eigenvalues of $T$ , and let $M_3 = max {t_1,t_2,t_3 }$

Can we prove that $M_1$ , $M_2$ or $M_3$ are the desired $M$ we are looking for?



Then in general conditions . Let $H_1 , H_2 $ denote two normed space , $T$ is an operator from $H_1$ to $H_2$ with a slight modification , can we prove that $M_1$ , $M_2$ or $M_3$ are the desired $M$ we are looking for?










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closed as off-topic by GNUSupporter 8964民主女神 地下教會, José Carlos Santos, amWhy, Paul Frost, DRF Dec 9 at 20:33


This question appears to be off-topic. The users who voted to close gave this specific reason:


  • "This question is missing context or other details: Please provide additional context, which ideally explains why the question is relevant to you and our community. Some forms of context include: background and motivation, relevant definitions, source, possible strategies, your current progress, why the question is interesting or important, etc." – GNUSupporter 8964民主女神 地下教會, José Carlos Santos, amWhy, Paul Frost, DRF

If this question can be reworded to fit the rules in the help center, please edit the question.


















    1














    Let $R^3$ denote the Euclidean space ,$|.|$ denote the usual norm. For a matrix $$T=begin{bmatrix}
    a_1 & a_2 & a_3 \
    a_4 & a_5 & a_6 \
    a_7 & a_8 & a_9 \
    end{bmatrix}.$$
    How to find the desired $M$ such that for every $alpha in R^3$ $$|T(alpha) | le M| alpha |.$$

    (a) Find $e_1 ,e_2 ,e_3$ which form a basis of $R^3$ then we can have $| T(e_i) | le A_i |e_i | $ , let $M_1 = max {A_1,A_2,A_3 }.$



    (b) Find $e_1 ,e_2 ,e_3$ which form a orthogonormal basis of $R^3$ then we can have $| T(e_i) | le A_i |e_i | $ , let $M_2 = max {A_1,A_2,A_3 }.$



    (c) Let $t_1 , t_2 ,t_3$ denote the eigenvalues of $T$ , and let $M_3 = max {t_1,t_2,t_3 }$

    Can we prove that $M_1$ , $M_2$ or $M_3$ are the desired $M$ we are looking for?



    Then in general conditions . Let $H_1 , H_2 $ denote two normed space , $T$ is an operator from $H_1$ to $H_2$ with a slight modification , can we prove that $M_1$ , $M_2$ or $M_3$ are the desired $M$ we are looking for?










    share|cite|improve this question















    closed as off-topic by GNUSupporter 8964民主女神 地下教會, José Carlos Santos, amWhy, Paul Frost, DRF Dec 9 at 20:33


    This question appears to be off-topic. The users who voted to close gave this specific reason:


    • "This question is missing context or other details: Please provide additional context, which ideally explains why the question is relevant to you and our community. Some forms of context include: background and motivation, relevant definitions, source, possible strategies, your current progress, why the question is interesting or important, etc." – GNUSupporter 8964民主女神 地下教會, José Carlos Santos, amWhy, Paul Frost, DRF

    If this question can be reworded to fit the rules in the help center, please edit the question.
















      1












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      1







      Let $R^3$ denote the Euclidean space ,$|.|$ denote the usual norm. For a matrix $$T=begin{bmatrix}
      a_1 & a_2 & a_3 \
      a_4 & a_5 & a_6 \
      a_7 & a_8 & a_9 \
      end{bmatrix}.$$
      How to find the desired $M$ such that for every $alpha in R^3$ $$|T(alpha) | le M| alpha |.$$

      (a) Find $e_1 ,e_2 ,e_3$ which form a basis of $R^3$ then we can have $| T(e_i) | le A_i |e_i | $ , let $M_1 = max {A_1,A_2,A_3 }.$



      (b) Find $e_1 ,e_2 ,e_3$ which form a orthogonormal basis of $R^3$ then we can have $| T(e_i) | le A_i |e_i | $ , let $M_2 = max {A_1,A_2,A_3 }.$



      (c) Let $t_1 , t_2 ,t_3$ denote the eigenvalues of $T$ , and let $M_3 = max {t_1,t_2,t_3 }$

      Can we prove that $M_1$ , $M_2$ or $M_3$ are the desired $M$ we are looking for?



      Then in general conditions . Let $H_1 , H_2 $ denote two normed space , $T$ is an operator from $H_1$ to $H_2$ with a slight modification , can we prove that $M_1$ , $M_2$ or $M_3$ are the desired $M$ we are looking for?










      share|cite|improve this question















      Let $R^3$ denote the Euclidean space ,$|.|$ denote the usual norm. For a matrix $$T=begin{bmatrix}
      a_1 & a_2 & a_3 \
      a_4 & a_5 & a_6 \
      a_7 & a_8 & a_9 \
      end{bmatrix}.$$
      How to find the desired $M$ such that for every $alpha in R^3$ $$|T(alpha) | le M| alpha |.$$

      (a) Find $e_1 ,e_2 ,e_3$ which form a basis of $R^3$ then we can have $| T(e_i) | le A_i |e_i | $ , let $M_1 = max {A_1,A_2,A_3 }.$



      (b) Find $e_1 ,e_2 ,e_3$ which form a orthogonormal basis of $R^3$ then we can have $| T(e_i) | le A_i |e_i | $ , let $M_2 = max {A_1,A_2,A_3 }.$



      (c) Let $t_1 , t_2 ,t_3$ denote the eigenvalues of $T$ , and let $M_3 = max {t_1,t_2,t_3 }$

      Can we prove that $M_1$ , $M_2$ or $M_3$ are the desired $M$ we are looking for?



      Then in general conditions . Let $H_1 , H_2 $ denote two normed space , $T$ is an operator from $H_1$ to $H_2$ with a slight modification , can we prove that $M_1$ , $M_2$ or $M_3$ are the desired $M$ we are looking for?







      functional-analysis operator-theory operator-algebras






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      edited Dec 9 at 15:08









      GNUSupporter 8964民主女神 地下教會

      12.8k72445




      12.8k72445










      asked Dec 9 at 14:53









      J.Guo

      2459




      2459




      closed as off-topic by GNUSupporter 8964民主女神 地下教會, José Carlos Santos, amWhy, Paul Frost, DRF Dec 9 at 20:33


      This question appears to be off-topic. The users who voted to close gave this specific reason:


      • "This question is missing context or other details: Please provide additional context, which ideally explains why the question is relevant to you and our community. Some forms of context include: background and motivation, relevant definitions, source, possible strategies, your current progress, why the question is interesting or important, etc." – GNUSupporter 8964民主女神 地下教會, José Carlos Santos, amWhy, Paul Frost, DRF

      If this question can be reworded to fit the rules in the help center, please edit the question.




      closed as off-topic by GNUSupporter 8964民主女神 地下教會, José Carlos Santos, amWhy, Paul Frost, DRF Dec 9 at 20:33


      This question appears to be off-topic. The users who voted to close gave this specific reason:


      • "This question is missing context or other details: Please provide additional context, which ideally explains why the question is relevant to you and our community. Some forms of context include: background and motivation, relevant definitions, source, possible strategies, your current progress, why the question is interesting or important, etc." – GNUSupporter 8964民主女神 地下教會, José Carlos Santos, amWhy, Paul Frost, DRF

      If this question can be reworded to fit the rules in the help center, please edit the question.






















          1 Answer
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          If you are looking for the smallest such $M$ (you don't say what "desired" means), then none of your candidates is.



          The most common characterization of the smallest $M$ is that it is the square root of the largest eigenvalue of $M^tM$.



          If you consider $$T=begin{bmatrix} 0&1&1\0&0&0\0&0&0end{bmatrix}$$ and ${e_1,e_2,e_3}$ is the canonical basis, then $$|Te_1|=0, |Te_2|=|e_1|=1, |Te_3|=|e_1|=1,$$ while $|T|=sqrt2>1$.






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            1 Answer
            1






            active

            oldest

            votes








            1 Answer
            1






            active

            oldest

            votes









            active

            oldest

            votes






            active

            oldest

            votes









            1














            If you are looking for the smallest such $M$ (you don't say what "desired" means), then none of your candidates is.



            The most common characterization of the smallest $M$ is that it is the square root of the largest eigenvalue of $M^tM$.



            If you consider $$T=begin{bmatrix} 0&1&1\0&0&0\0&0&0end{bmatrix}$$ and ${e_1,e_2,e_3}$ is the canonical basis, then $$|Te_1|=0, |Te_2|=|e_1|=1, |Te_3|=|e_1|=1,$$ while $|T|=sqrt2>1$.






            share|cite|improve this answer


























              1














              If you are looking for the smallest such $M$ (you don't say what "desired" means), then none of your candidates is.



              The most common characterization of the smallest $M$ is that it is the square root of the largest eigenvalue of $M^tM$.



              If you consider $$T=begin{bmatrix} 0&1&1\0&0&0\0&0&0end{bmatrix}$$ and ${e_1,e_2,e_3}$ is the canonical basis, then $$|Te_1|=0, |Te_2|=|e_1|=1, |Te_3|=|e_1|=1,$$ while $|T|=sqrt2>1$.






              share|cite|improve this answer
























                1












                1








                1






                If you are looking for the smallest such $M$ (you don't say what "desired" means), then none of your candidates is.



                The most common characterization of the smallest $M$ is that it is the square root of the largest eigenvalue of $M^tM$.



                If you consider $$T=begin{bmatrix} 0&1&1\0&0&0\0&0&0end{bmatrix}$$ and ${e_1,e_2,e_3}$ is the canonical basis, then $$|Te_1|=0, |Te_2|=|e_1|=1, |Te_3|=|e_1|=1,$$ while $|T|=sqrt2>1$.






                share|cite|improve this answer












                If you are looking for the smallest such $M$ (you don't say what "desired" means), then none of your candidates is.



                The most common characterization of the smallest $M$ is that it is the square root of the largest eigenvalue of $M^tM$.



                If you consider $$T=begin{bmatrix} 0&1&1\0&0&0\0&0&0end{bmatrix}$$ and ${e_1,e_2,e_3}$ is the canonical basis, then $$|Te_1|=0, |Te_2|=|e_1|=1, |Te_3|=|e_1|=1,$$ while $|T|=sqrt2>1$.







                share|cite|improve this answer












                share|cite|improve this answer



                share|cite|improve this answer










                answered Dec 9 at 19:58









                Martin Argerami

                124k1176174




                124k1176174















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