Finite dimensional normed vector space, projection continuous?












0












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Let $X$ be an $n$ -dimensional normed $mathbb{R}$-vector space. Let ${e_i mid i=1,...,n}$ be a basis of $X$. Is it true that the function $f:Xrightarrow mathbb{R}$, $sum lambda_i e_i mapsto lambda_i$ is continuous? I thought it would be easy to prove this but I wasn't able to.



Could you help me? Thanks!










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$endgroup$












  • $begingroup$
    The norm in $X$ induces a topology, namely open sets.
    $endgroup$
    – dmtri
    Dec 31 '18 at 9:36










  • $begingroup$
    There are several theorems about finite dimensional normed linear spaces: any two norms are equivalent. any linear map on then is continuous etc. [These two theorems are easily seen to be equivalent]. They provide an answer to your question]. But if you want to avoid these theorems and use only the definition of norm you can look at my answer. @Jiu
    $endgroup$
    – Kavi Rama Murthy
    Dec 31 '18 at 10:08










  • $begingroup$
    @KaviRamaMurthy In fact I was trying to prove that any two norms on a finite dimensional space are equivalent. And I needed the continuity of $f$ for my proof.
    $endgroup$
    – Jiu
    Dec 31 '18 at 10:11
















0












$begingroup$


Let $X$ be an $n$ -dimensional normed $mathbb{R}$-vector space. Let ${e_i mid i=1,...,n}$ be a basis of $X$. Is it true that the function $f:Xrightarrow mathbb{R}$, $sum lambda_i e_i mapsto lambda_i$ is continuous? I thought it would be easy to prove this but I wasn't able to.



Could you help me? Thanks!










share|cite|improve this question











$endgroup$












  • $begingroup$
    The norm in $X$ induces a topology, namely open sets.
    $endgroup$
    – dmtri
    Dec 31 '18 at 9:36










  • $begingroup$
    There are several theorems about finite dimensional normed linear spaces: any two norms are equivalent. any linear map on then is continuous etc. [These two theorems are easily seen to be equivalent]. They provide an answer to your question]. But if you want to avoid these theorems and use only the definition of norm you can look at my answer. @Jiu
    $endgroup$
    – Kavi Rama Murthy
    Dec 31 '18 at 10:08










  • $begingroup$
    @KaviRamaMurthy In fact I was trying to prove that any two norms on a finite dimensional space are equivalent. And I needed the continuity of $f$ for my proof.
    $endgroup$
    – Jiu
    Dec 31 '18 at 10:11














0












0








0





$begingroup$


Let $X$ be an $n$ -dimensional normed $mathbb{R}$-vector space. Let ${e_i mid i=1,...,n}$ be a basis of $X$. Is it true that the function $f:Xrightarrow mathbb{R}$, $sum lambda_i e_i mapsto lambda_i$ is continuous? I thought it would be easy to prove this but I wasn't able to.



Could you help me? Thanks!










share|cite|improve this question











$endgroup$




Let $X$ be an $n$ -dimensional normed $mathbb{R}$-vector space. Let ${e_i mid i=1,...,n}$ be a basis of $X$. Is it true that the function $f:Xrightarrow mathbb{R}$, $sum lambda_i e_i mapsto lambda_i$ is continuous? I thought it would be easy to prove this but I wasn't able to.



Could you help me? Thanks!







linear-algebra general-topology analysis






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edited Dec 31 '18 at 10:01









dmtri

1,4521521




1,4521521










asked Dec 31 '18 at 9:06









JiuJiu

471112




471112












  • $begingroup$
    The norm in $X$ induces a topology, namely open sets.
    $endgroup$
    – dmtri
    Dec 31 '18 at 9:36










  • $begingroup$
    There are several theorems about finite dimensional normed linear spaces: any two norms are equivalent. any linear map on then is continuous etc. [These two theorems are easily seen to be equivalent]. They provide an answer to your question]. But if you want to avoid these theorems and use only the definition of norm you can look at my answer. @Jiu
    $endgroup$
    – Kavi Rama Murthy
    Dec 31 '18 at 10:08










  • $begingroup$
    @KaviRamaMurthy In fact I was trying to prove that any two norms on a finite dimensional space are equivalent. And I needed the continuity of $f$ for my proof.
    $endgroup$
    – Jiu
    Dec 31 '18 at 10:11


















  • $begingroup$
    The norm in $X$ induces a topology, namely open sets.
    $endgroup$
    – dmtri
    Dec 31 '18 at 9:36










  • $begingroup$
    There are several theorems about finite dimensional normed linear spaces: any two norms are equivalent. any linear map on then is continuous etc. [These two theorems are easily seen to be equivalent]. They provide an answer to your question]. But if you want to avoid these theorems and use only the definition of norm you can look at my answer. @Jiu
    $endgroup$
    – Kavi Rama Murthy
    Dec 31 '18 at 10:08










  • $begingroup$
    @KaviRamaMurthy In fact I was trying to prove that any two norms on a finite dimensional space are equivalent. And I needed the continuity of $f$ for my proof.
    $endgroup$
    – Jiu
    Dec 31 '18 at 10:11
















$begingroup$
The norm in $X$ induces a topology, namely open sets.
$endgroup$
– dmtri
Dec 31 '18 at 9:36




$begingroup$
The norm in $X$ induces a topology, namely open sets.
$endgroup$
– dmtri
Dec 31 '18 at 9:36












$begingroup$
There are several theorems about finite dimensional normed linear spaces: any two norms are equivalent. any linear map on then is continuous etc. [These two theorems are easily seen to be equivalent]. They provide an answer to your question]. But if you want to avoid these theorems and use only the definition of norm you can look at my answer. @Jiu
$endgroup$
– Kavi Rama Murthy
Dec 31 '18 at 10:08




$begingroup$
There are several theorems about finite dimensional normed linear spaces: any two norms are equivalent. any linear map on then is continuous etc. [These two theorems are easily seen to be equivalent]. They provide an answer to your question]. But if you want to avoid these theorems and use only the definition of norm you can look at my answer. @Jiu
$endgroup$
– Kavi Rama Murthy
Dec 31 '18 at 10:08












$begingroup$
@KaviRamaMurthy In fact I was trying to prove that any two norms on a finite dimensional space are equivalent. And I needed the continuity of $f$ for my proof.
$endgroup$
– Jiu
Dec 31 '18 at 10:11




$begingroup$
@KaviRamaMurthy In fact I was trying to prove that any two norms on a finite dimensional space are equivalent. And I needed the continuity of $f$ for my proof.
$endgroup$
– Jiu
Dec 31 '18 at 10:11










3 Answers
3






active

oldest

votes


















2












$begingroup$

Here is a proof that does not use any theorem on general normed linear spaces. It uses only the Bolzano Weierstras Theorem for the usual norm on $mathbb R^{n}$. Suppose $sum a_i^{(m)}e_i to 0$. We have to show that $a_i^{(m)} to 0$ for each $i$. We claim that ${(a_{1}^{(m)},a_{2}^{(m)},...,a_{n}^{(m)})}$ is bounded. Suppose, if possible, $leftVert
(a_{1}^{(m_{j})},a_{2}^{(m_{j})},...,a_{n}^{(m_{j})})rightVert_2 to
infty $
. Here $|.|_2$ denotes the usual norm on $mathbb R^{n}$. Let $b_{i}^{(m_{j})}=frac{a_{i}^{(m_{j})}}{leftVert
(a_{1}^{(m_{j})},a_{2}^{(m_{j})},...,a_{n}^{(m_{j})})rightVert_2 },1leq
ileq n.$
Then $sum_{i=1}^{n}b_{i}^{(m)}x_{i}to 0$ and $%
leftVert (b_{1}^{(m_{j})},b_{2}^{(m_{j})},...,b_{n}^{(m_{j})})rightVert_2
=1$
$forall j$. Since unit vectors form a compact set in $mathbb R^{n}$ we can take limit of $sum_{i=1}^{n}b_{i}^{(m)}x_{i}$ through
a subsequence to get an equation of the type $
sum_{i=1}^{n}c_{i}x_{i}=0$
where $leftVert
(c_{1},c_{2},...,c_{n})rightVert_2 =1.$
This is impossible because $%
{x_{1},x_{2},...,x_{n}}$
be a basis. We have proved that $%
{(a_{1}^{(m)},a_{2}^{(m)},...,a_{n}^{(m)})}$
is bounded. We now extract a
convergent subsequence of this sequence to get $
sum_{i=1}^{n}d_{i}x_{i}=0$
forcing each $d_{i}$ to be $0$. This shows
that every limit point of ${(a_{1}^{(m)},a_{2}^{(m)},...,a_{n}^{(m)})}$ is
$(0,0,,,,0)$ and hence the claim is true.






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$endgroup$





















    2












    $begingroup$

    Since any two norms on a finite dimensional space are equivalent, and $|sum_i lambda_i e_i|_* = sum_i |lambda_i|$ defines a norm, there exists a constant $C>0$ such that
    $$
    |sum_i lambda_i e_i|_*leq C|sum_i lambda_i e_i|,quadforall (lambda_i)_{i=1}^n.
    $$
    It follows
    $$
    left|f(sum_i lambda_i e_i)right |= |lambda_j|le |sum_i lambda_i e_i|_*leq C|sum_i lambda_i e_i|.$$



    EDIT: Here's a sketch of the proof that any two norms on a f.d.v.s. $V$ on $mathbb{F}$($=mathbb{R}$ or $mathbb{C}$) are equivalent. Let $(e_i)_{i=1}^n$ be a basis of $V$, and endow $V$ a norm defined by $|sum_i x_i e_i|_1 =sum_i |x_i|$. Then, $(V,|cdot|_1)$ and $(mathbb{F}^n,|cdot|_1)$ are isometric and hence homeomorphic. Notice that this implies ${sum_i x_ie_i;|;sum_i |x_i| = 1}$ is compact in $V$.

    Now, let $f(sum_i x_ie_i) =|sum_i x_i e_i|$ where $|cdot|$ denotes the given norm of $V$. If we show $|cdot| sim|cdot|_1$, then the claim follows since $sim$ is an equivalence relation. Observe that
    $$
    |f(sum_i x_ie_i)-f(sum_i y_ie_i)| = ||sum_i x_ie_i|-|sum_i y_ie_i||leq |sum_i (x_i-y_i)e_i| leq sum_i |x_i-y_i|cdot max_i |e_i|.
    $$
    This shows $f:(V,|cdot|_1)to [0,infty)$ is continuous. Since $E={sum_i x_ie_i;|;sum_i |x_i| = 1}$ is compact, by extremum value theorem, there is $0<mleq M<infty$ such that
    $$
    mleq f(x) =|x|le M, quad forall xin E.
    $$
    This gives $m |x|_1 le |x|le M|x|_1$ for all $xin V$.






    share|cite|improve this answer











    $endgroup$













    • $begingroup$
      Is there a way to prove that two norms on a finite dimensional space are equivalent without using the continuity of $f$? In other words, I want to make sure that it is not circular reasoning.
      $endgroup$
      – Jiu
      Dec 31 '18 at 10:07










    • $begingroup$
      Yes, the proof I know uses only topological tools.
      $endgroup$
      – Song
      Dec 31 '18 at 10:21



















    1












    $begingroup$

    Hint: Let $P_1 v = v_1$. Observe
    begin{align}
    |v_1-w_1| = |P_1v-P_1w| leq |P_1||v-w|.
    end{align}



    Edit: A upon the request of @KaviRamaMurthy, I have decided to include a quick proof that all linear maps $A:mathbb{R}^n rightarrow mathbb{R}^n$ are bounded.



    Using matrix representation, we see that
    begin{align}
    |Av|^2=& sum^n_{j=1}left|sum^n_{j=1} a_{ij}v_j right|^2 leq sum^n_{j=1}left( sum^n_{j=1} |a_{ij}|^2right)left( sum^n_{j=1} |v_j|^2right) \
    =& left(sum^n_{i,j=1}|a_{ij}|^2 right)|v|^2
    end{align}

    which means $|Av| leq C|v|$ where $C$ is independent of $v$.






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    $endgroup$













    • $begingroup$
      The norm given is an arbitrary norm.
      $endgroup$
      – Kavi Rama Murthy
      Dec 31 '18 at 9:41










    • $begingroup$
      This answer is wrong. It is valid for the usual norm on Euclidean spaces, not for a general norm.
      $endgroup$
      – Kavi Rama Murthy
      Dec 31 '18 at 10:10










    • $begingroup$
      @KaviRamaMurthy I think the answer is okay. Observe $|v_1-w_1| = |v_1 mathbf{e}_1 - w_1mathbf{e}_1| = |P_1 v-P_1w|leq |P_1|_text{op} |v-w|$
      $endgroup$
      – Jacky Chong
      Dec 31 '18 at 23:46










    • $begingroup$
      You have not understood the question. you are assuming what you are asked to prove. You are asked to show that $P_1$ is a continuous map. How can you assume that it is a bounded operator to prove that it is continuous? @Jacky Chong
      $endgroup$
      – Kavi Rama Murthy
      Dec 31 '18 at 23:58












    • $begingroup$
      @KaviRamaMurthy I guess I'm assuming all linear maps on finite dimensional vector spaces are bounded.
      $endgroup$
      – Jacky Chong
      Jan 1 at 0:03













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    3 Answers
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    3 Answers
    3






    active

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    votes









    active

    oldest

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    active

    oldest

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    2












    $begingroup$

    Here is a proof that does not use any theorem on general normed linear spaces. It uses only the Bolzano Weierstras Theorem for the usual norm on $mathbb R^{n}$. Suppose $sum a_i^{(m)}e_i to 0$. We have to show that $a_i^{(m)} to 0$ for each $i$. We claim that ${(a_{1}^{(m)},a_{2}^{(m)},...,a_{n}^{(m)})}$ is bounded. Suppose, if possible, $leftVert
    (a_{1}^{(m_{j})},a_{2}^{(m_{j})},...,a_{n}^{(m_{j})})rightVert_2 to
    infty $
    . Here $|.|_2$ denotes the usual norm on $mathbb R^{n}$. Let $b_{i}^{(m_{j})}=frac{a_{i}^{(m_{j})}}{leftVert
    (a_{1}^{(m_{j})},a_{2}^{(m_{j})},...,a_{n}^{(m_{j})})rightVert_2 },1leq
    ileq n.$
    Then $sum_{i=1}^{n}b_{i}^{(m)}x_{i}to 0$ and $%
    leftVert (b_{1}^{(m_{j})},b_{2}^{(m_{j})},...,b_{n}^{(m_{j})})rightVert_2
    =1$
    $forall j$. Since unit vectors form a compact set in $mathbb R^{n}$ we can take limit of $sum_{i=1}^{n}b_{i}^{(m)}x_{i}$ through
    a subsequence to get an equation of the type $
    sum_{i=1}^{n}c_{i}x_{i}=0$
    where $leftVert
    (c_{1},c_{2},...,c_{n})rightVert_2 =1.$
    This is impossible because $%
    {x_{1},x_{2},...,x_{n}}$
    be a basis. We have proved that $%
    {(a_{1}^{(m)},a_{2}^{(m)},...,a_{n}^{(m)})}$
    is bounded. We now extract a
    convergent subsequence of this sequence to get $
    sum_{i=1}^{n}d_{i}x_{i}=0$
    forcing each $d_{i}$ to be $0$. This shows
    that every limit point of ${(a_{1}^{(m)},a_{2}^{(m)},...,a_{n}^{(m)})}$ is
    $(0,0,,,,0)$ and hence the claim is true.






    share|cite|improve this answer











    $endgroup$


















      2












      $begingroup$

      Here is a proof that does not use any theorem on general normed linear spaces. It uses only the Bolzano Weierstras Theorem for the usual norm on $mathbb R^{n}$. Suppose $sum a_i^{(m)}e_i to 0$. We have to show that $a_i^{(m)} to 0$ for each $i$. We claim that ${(a_{1}^{(m)},a_{2}^{(m)},...,a_{n}^{(m)})}$ is bounded. Suppose, if possible, $leftVert
      (a_{1}^{(m_{j})},a_{2}^{(m_{j})},...,a_{n}^{(m_{j})})rightVert_2 to
      infty $
      . Here $|.|_2$ denotes the usual norm on $mathbb R^{n}$. Let $b_{i}^{(m_{j})}=frac{a_{i}^{(m_{j})}}{leftVert
      (a_{1}^{(m_{j})},a_{2}^{(m_{j})},...,a_{n}^{(m_{j})})rightVert_2 },1leq
      ileq n.$
      Then $sum_{i=1}^{n}b_{i}^{(m)}x_{i}to 0$ and $%
      leftVert (b_{1}^{(m_{j})},b_{2}^{(m_{j})},...,b_{n}^{(m_{j})})rightVert_2
      =1$
      $forall j$. Since unit vectors form a compact set in $mathbb R^{n}$ we can take limit of $sum_{i=1}^{n}b_{i}^{(m)}x_{i}$ through
      a subsequence to get an equation of the type $
      sum_{i=1}^{n}c_{i}x_{i}=0$
      where $leftVert
      (c_{1},c_{2},...,c_{n})rightVert_2 =1.$
      This is impossible because $%
      {x_{1},x_{2},...,x_{n}}$
      be a basis. We have proved that $%
      {(a_{1}^{(m)},a_{2}^{(m)},...,a_{n}^{(m)})}$
      is bounded. We now extract a
      convergent subsequence of this sequence to get $
      sum_{i=1}^{n}d_{i}x_{i}=0$
      forcing each $d_{i}$ to be $0$. This shows
      that every limit point of ${(a_{1}^{(m)},a_{2}^{(m)},...,a_{n}^{(m)})}$ is
      $(0,0,,,,0)$ and hence the claim is true.






      share|cite|improve this answer











      $endgroup$
















        2












        2








        2





        $begingroup$

        Here is a proof that does not use any theorem on general normed linear spaces. It uses only the Bolzano Weierstras Theorem for the usual norm on $mathbb R^{n}$. Suppose $sum a_i^{(m)}e_i to 0$. We have to show that $a_i^{(m)} to 0$ for each $i$. We claim that ${(a_{1}^{(m)},a_{2}^{(m)},...,a_{n}^{(m)})}$ is bounded. Suppose, if possible, $leftVert
        (a_{1}^{(m_{j})},a_{2}^{(m_{j})},...,a_{n}^{(m_{j})})rightVert_2 to
        infty $
        . Here $|.|_2$ denotes the usual norm on $mathbb R^{n}$. Let $b_{i}^{(m_{j})}=frac{a_{i}^{(m_{j})}}{leftVert
        (a_{1}^{(m_{j})},a_{2}^{(m_{j})},...,a_{n}^{(m_{j})})rightVert_2 },1leq
        ileq n.$
        Then $sum_{i=1}^{n}b_{i}^{(m)}x_{i}to 0$ and $%
        leftVert (b_{1}^{(m_{j})},b_{2}^{(m_{j})},...,b_{n}^{(m_{j})})rightVert_2
        =1$
        $forall j$. Since unit vectors form a compact set in $mathbb R^{n}$ we can take limit of $sum_{i=1}^{n}b_{i}^{(m)}x_{i}$ through
        a subsequence to get an equation of the type $
        sum_{i=1}^{n}c_{i}x_{i}=0$
        where $leftVert
        (c_{1},c_{2},...,c_{n})rightVert_2 =1.$
        This is impossible because $%
        {x_{1},x_{2},...,x_{n}}$
        be a basis. We have proved that $%
        {(a_{1}^{(m)},a_{2}^{(m)},...,a_{n}^{(m)})}$
        is bounded. We now extract a
        convergent subsequence of this sequence to get $
        sum_{i=1}^{n}d_{i}x_{i}=0$
        forcing each $d_{i}$ to be $0$. This shows
        that every limit point of ${(a_{1}^{(m)},a_{2}^{(m)},...,a_{n}^{(m)})}$ is
        $(0,0,,,,0)$ and hence the claim is true.






        share|cite|improve this answer











        $endgroup$



        Here is a proof that does not use any theorem on general normed linear spaces. It uses only the Bolzano Weierstras Theorem for the usual norm on $mathbb R^{n}$. Suppose $sum a_i^{(m)}e_i to 0$. We have to show that $a_i^{(m)} to 0$ for each $i$. We claim that ${(a_{1}^{(m)},a_{2}^{(m)},...,a_{n}^{(m)})}$ is bounded. Suppose, if possible, $leftVert
        (a_{1}^{(m_{j})},a_{2}^{(m_{j})},...,a_{n}^{(m_{j})})rightVert_2 to
        infty $
        . Here $|.|_2$ denotes the usual norm on $mathbb R^{n}$. Let $b_{i}^{(m_{j})}=frac{a_{i}^{(m_{j})}}{leftVert
        (a_{1}^{(m_{j})},a_{2}^{(m_{j})},...,a_{n}^{(m_{j})})rightVert_2 },1leq
        ileq n.$
        Then $sum_{i=1}^{n}b_{i}^{(m)}x_{i}to 0$ and $%
        leftVert (b_{1}^{(m_{j})},b_{2}^{(m_{j})},...,b_{n}^{(m_{j})})rightVert_2
        =1$
        $forall j$. Since unit vectors form a compact set in $mathbb R^{n}$ we can take limit of $sum_{i=1}^{n}b_{i}^{(m)}x_{i}$ through
        a subsequence to get an equation of the type $
        sum_{i=1}^{n}c_{i}x_{i}=0$
        where $leftVert
        (c_{1},c_{2},...,c_{n})rightVert_2 =1.$
        This is impossible because $%
        {x_{1},x_{2},...,x_{n}}$
        be a basis. We have proved that $%
        {(a_{1}^{(m)},a_{2}^{(m)},...,a_{n}^{(m)})}$
        is bounded. We now extract a
        convergent subsequence of this sequence to get $
        sum_{i=1}^{n}d_{i}x_{i}=0$
        forcing each $d_{i}$ to be $0$. This shows
        that every limit point of ${(a_{1}^{(m)},a_{2}^{(m)},...,a_{n}^{(m)})}$ is
        $(0,0,,,,0)$ and hence the claim is true.







        share|cite|improve this answer














        share|cite|improve this answer



        share|cite|improve this answer








        edited Dec 31 '18 at 9:46

























        answered Dec 31 '18 at 9:40









        Kavi Rama MurthyKavi Rama Murthy

        52.5k32055




        52.5k32055























            2












            $begingroup$

            Since any two norms on a finite dimensional space are equivalent, and $|sum_i lambda_i e_i|_* = sum_i |lambda_i|$ defines a norm, there exists a constant $C>0$ such that
            $$
            |sum_i lambda_i e_i|_*leq C|sum_i lambda_i e_i|,quadforall (lambda_i)_{i=1}^n.
            $$
            It follows
            $$
            left|f(sum_i lambda_i e_i)right |= |lambda_j|le |sum_i lambda_i e_i|_*leq C|sum_i lambda_i e_i|.$$



            EDIT: Here's a sketch of the proof that any two norms on a f.d.v.s. $V$ on $mathbb{F}$($=mathbb{R}$ or $mathbb{C}$) are equivalent. Let $(e_i)_{i=1}^n$ be a basis of $V$, and endow $V$ a norm defined by $|sum_i x_i e_i|_1 =sum_i |x_i|$. Then, $(V,|cdot|_1)$ and $(mathbb{F}^n,|cdot|_1)$ are isometric and hence homeomorphic. Notice that this implies ${sum_i x_ie_i;|;sum_i |x_i| = 1}$ is compact in $V$.

            Now, let $f(sum_i x_ie_i) =|sum_i x_i e_i|$ where $|cdot|$ denotes the given norm of $V$. If we show $|cdot| sim|cdot|_1$, then the claim follows since $sim$ is an equivalence relation. Observe that
            $$
            |f(sum_i x_ie_i)-f(sum_i y_ie_i)| = ||sum_i x_ie_i|-|sum_i y_ie_i||leq |sum_i (x_i-y_i)e_i| leq sum_i |x_i-y_i|cdot max_i |e_i|.
            $$
            This shows $f:(V,|cdot|_1)to [0,infty)$ is continuous. Since $E={sum_i x_ie_i;|;sum_i |x_i| = 1}$ is compact, by extremum value theorem, there is $0<mleq M<infty$ such that
            $$
            mleq f(x) =|x|le M, quad forall xin E.
            $$
            This gives $m |x|_1 le |x|le M|x|_1$ for all $xin V$.






            share|cite|improve this answer











            $endgroup$













            • $begingroup$
              Is there a way to prove that two norms on a finite dimensional space are equivalent without using the continuity of $f$? In other words, I want to make sure that it is not circular reasoning.
              $endgroup$
              – Jiu
              Dec 31 '18 at 10:07










            • $begingroup$
              Yes, the proof I know uses only topological tools.
              $endgroup$
              – Song
              Dec 31 '18 at 10:21
















            2












            $begingroup$

            Since any two norms on a finite dimensional space are equivalent, and $|sum_i lambda_i e_i|_* = sum_i |lambda_i|$ defines a norm, there exists a constant $C>0$ such that
            $$
            |sum_i lambda_i e_i|_*leq C|sum_i lambda_i e_i|,quadforall (lambda_i)_{i=1}^n.
            $$
            It follows
            $$
            left|f(sum_i lambda_i e_i)right |= |lambda_j|le |sum_i lambda_i e_i|_*leq C|sum_i lambda_i e_i|.$$



            EDIT: Here's a sketch of the proof that any two norms on a f.d.v.s. $V$ on $mathbb{F}$($=mathbb{R}$ or $mathbb{C}$) are equivalent. Let $(e_i)_{i=1}^n$ be a basis of $V$, and endow $V$ a norm defined by $|sum_i x_i e_i|_1 =sum_i |x_i|$. Then, $(V,|cdot|_1)$ and $(mathbb{F}^n,|cdot|_1)$ are isometric and hence homeomorphic. Notice that this implies ${sum_i x_ie_i;|;sum_i |x_i| = 1}$ is compact in $V$.

            Now, let $f(sum_i x_ie_i) =|sum_i x_i e_i|$ where $|cdot|$ denotes the given norm of $V$. If we show $|cdot| sim|cdot|_1$, then the claim follows since $sim$ is an equivalence relation. Observe that
            $$
            |f(sum_i x_ie_i)-f(sum_i y_ie_i)| = ||sum_i x_ie_i|-|sum_i y_ie_i||leq |sum_i (x_i-y_i)e_i| leq sum_i |x_i-y_i|cdot max_i |e_i|.
            $$
            This shows $f:(V,|cdot|_1)to [0,infty)$ is continuous. Since $E={sum_i x_ie_i;|;sum_i |x_i| = 1}$ is compact, by extremum value theorem, there is $0<mleq M<infty$ such that
            $$
            mleq f(x) =|x|le M, quad forall xin E.
            $$
            This gives $m |x|_1 le |x|le M|x|_1$ for all $xin V$.






            share|cite|improve this answer











            $endgroup$













            • $begingroup$
              Is there a way to prove that two norms on a finite dimensional space are equivalent without using the continuity of $f$? In other words, I want to make sure that it is not circular reasoning.
              $endgroup$
              – Jiu
              Dec 31 '18 at 10:07










            • $begingroup$
              Yes, the proof I know uses only topological tools.
              $endgroup$
              – Song
              Dec 31 '18 at 10:21














            2












            2








            2





            $begingroup$

            Since any two norms on a finite dimensional space are equivalent, and $|sum_i lambda_i e_i|_* = sum_i |lambda_i|$ defines a norm, there exists a constant $C>0$ such that
            $$
            |sum_i lambda_i e_i|_*leq C|sum_i lambda_i e_i|,quadforall (lambda_i)_{i=1}^n.
            $$
            It follows
            $$
            left|f(sum_i lambda_i e_i)right |= |lambda_j|le |sum_i lambda_i e_i|_*leq C|sum_i lambda_i e_i|.$$



            EDIT: Here's a sketch of the proof that any two norms on a f.d.v.s. $V$ on $mathbb{F}$($=mathbb{R}$ or $mathbb{C}$) are equivalent. Let $(e_i)_{i=1}^n$ be a basis of $V$, and endow $V$ a norm defined by $|sum_i x_i e_i|_1 =sum_i |x_i|$. Then, $(V,|cdot|_1)$ and $(mathbb{F}^n,|cdot|_1)$ are isometric and hence homeomorphic. Notice that this implies ${sum_i x_ie_i;|;sum_i |x_i| = 1}$ is compact in $V$.

            Now, let $f(sum_i x_ie_i) =|sum_i x_i e_i|$ where $|cdot|$ denotes the given norm of $V$. If we show $|cdot| sim|cdot|_1$, then the claim follows since $sim$ is an equivalence relation. Observe that
            $$
            |f(sum_i x_ie_i)-f(sum_i y_ie_i)| = ||sum_i x_ie_i|-|sum_i y_ie_i||leq |sum_i (x_i-y_i)e_i| leq sum_i |x_i-y_i|cdot max_i |e_i|.
            $$
            This shows $f:(V,|cdot|_1)to [0,infty)$ is continuous. Since $E={sum_i x_ie_i;|;sum_i |x_i| = 1}$ is compact, by extremum value theorem, there is $0<mleq M<infty$ such that
            $$
            mleq f(x) =|x|le M, quad forall xin E.
            $$
            This gives $m |x|_1 le |x|le M|x|_1$ for all $xin V$.






            share|cite|improve this answer











            $endgroup$



            Since any two norms on a finite dimensional space are equivalent, and $|sum_i lambda_i e_i|_* = sum_i |lambda_i|$ defines a norm, there exists a constant $C>0$ such that
            $$
            |sum_i lambda_i e_i|_*leq C|sum_i lambda_i e_i|,quadforall (lambda_i)_{i=1}^n.
            $$
            It follows
            $$
            left|f(sum_i lambda_i e_i)right |= |lambda_j|le |sum_i lambda_i e_i|_*leq C|sum_i lambda_i e_i|.$$



            EDIT: Here's a sketch of the proof that any two norms on a f.d.v.s. $V$ on $mathbb{F}$($=mathbb{R}$ or $mathbb{C}$) are equivalent. Let $(e_i)_{i=1}^n$ be a basis of $V$, and endow $V$ a norm defined by $|sum_i x_i e_i|_1 =sum_i |x_i|$. Then, $(V,|cdot|_1)$ and $(mathbb{F}^n,|cdot|_1)$ are isometric and hence homeomorphic. Notice that this implies ${sum_i x_ie_i;|;sum_i |x_i| = 1}$ is compact in $V$.

            Now, let $f(sum_i x_ie_i) =|sum_i x_i e_i|$ where $|cdot|$ denotes the given norm of $V$. If we show $|cdot| sim|cdot|_1$, then the claim follows since $sim$ is an equivalence relation. Observe that
            $$
            |f(sum_i x_ie_i)-f(sum_i y_ie_i)| = ||sum_i x_ie_i|-|sum_i y_ie_i||leq |sum_i (x_i-y_i)e_i| leq sum_i |x_i-y_i|cdot max_i |e_i|.
            $$
            This shows $f:(V,|cdot|_1)to [0,infty)$ is continuous. Since $E={sum_i x_ie_i;|;sum_i |x_i| = 1}$ is compact, by extremum value theorem, there is $0<mleq M<infty$ such that
            $$
            mleq f(x) =|x|le M, quad forall xin E.
            $$
            This gives $m |x|_1 le |x|le M|x|_1$ for all $xin V$.







            share|cite|improve this answer














            share|cite|improve this answer



            share|cite|improve this answer








            edited Dec 31 '18 at 10:33

























            answered Dec 31 '18 at 9:29









            SongSong

            7,163421




            7,163421












            • $begingroup$
              Is there a way to prove that two norms on a finite dimensional space are equivalent without using the continuity of $f$? In other words, I want to make sure that it is not circular reasoning.
              $endgroup$
              – Jiu
              Dec 31 '18 at 10:07










            • $begingroup$
              Yes, the proof I know uses only topological tools.
              $endgroup$
              – Song
              Dec 31 '18 at 10:21


















            • $begingroup$
              Is there a way to prove that two norms on a finite dimensional space are equivalent without using the continuity of $f$? In other words, I want to make sure that it is not circular reasoning.
              $endgroup$
              – Jiu
              Dec 31 '18 at 10:07










            • $begingroup$
              Yes, the proof I know uses only topological tools.
              $endgroup$
              – Song
              Dec 31 '18 at 10:21
















            $begingroup$
            Is there a way to prove that two norms on a finite dimensional space are equivalent without using the continuity of $f$? In other words, I want to make sure that it is not circular reasoning.
            $endgroup$
            – Jiu
            Dec 31 '18 at 10:07




            $begingroup$
            Is there a way to prove that two norms on a finite dimensional space are equivalent without using the continuity of $f$? In other words, I want to make sure that it is not circular reasoning.
            $endgroup$
            – Jiu
            Dec 31 '18 at 10:07












            $begingroup$
            Yes, the proof I know uses only topological tools.
            $endgroup$
            – Song
            Dec 31 '18 at 10:21




            $begingroup$
            Yes, the proof I know uses only topological tools.
            $endgroup$
            – Song
            Dec 31 '18 at 10:21











            1












            $begingroup$

            Hint: Let $P_1 v = v_1$. Observe
            begin{align}
            |v_1-w_1| = |P_1v-P_1w| leq |P_1||v-w|.
            end{align}



            Edit: A upon the request of @KaviRamaMurthy, I have decided to include a quick proof that all linear maps $A:mathbb{R}^n rightarrow mathbb{R}^n$ are bounded.



            Using matrix representation, we see that
            begin{align}
            |Av|^2=& sum^n_{j=1}left|sum^n_{j=1} a_{ij}v_j right|^2 leq sum^n_{j=1}left( sum^n_{j=1} |a_{ij}|^2right)left( sum^n_{j=1} |v_j|^2right) \
            =& left(sum^n_{i,j=1}|a_{ij}|^2 right)|v|^2
            end{align}

            which means $|Av| leq C|v|$ where $C$ is independent of $v$.






            share|cite|improve this answer











            $endgroup$













            • $begingroup$
              The norm given is an arbitrary norm.
              $endgroup$
              – Kavi Rama Murthy
              Dec 31 '18 at 9:41










            • $begingroup$
              This answer is wrong. It is valid for the usual norm on Euclidean spaces, not for a general norm.
              $endgroup$
              – Kavi Rama Murthy
              Dec 31 '18 at 10:10










            • $begingroup$
              @KaviRamaMurthy I think the answer is okay. Observe $|v_1-w_1| = |v_1 mathbf{e}_1 - w_1mathbf{e}_1| = |P_1 v-P_1w|leq |P_1|_text{op} |v-w|$
              $endgroup$
              – Jacky Chong
              Dec 31 '18 at 23:46










            • $begingroup$
              You have not understood the question. you are assuming what you are asked to prove. You are asked to show that $P_1$ is a continuous map. How can you assume that it is a bounded operator to prove that it is continuous? @Jacky Chong
              $endgroup$
              – Kavi Rama Murthy
              Dec 31 '18 at 23:58












            • $begingroup$
              @KaviRamaMurthy I guess I'm assuming all linear maps on finite dimensional vector spaces are bounded.
              $endgroup$
              – Jacky Chong
              Jan 1 at 0:03


















            1












            $begingroup$

            Hint: Let $P_1 v = v_1$. Observe
            begin{align}
            |v_1-w_1| = |P_1v-P_1w| leq |P_1||v-w|.
            end{align}



            Edit: A upon the request of @KaviRamaMurthy, I have decided to include a quick proof that all linear maps $A:mathbb{R}^n rightarrow mathbb{R}^n$ are bounded.



            Using matrix representation, we see that
            begin{align}
            |Av|^2=& sum^n_{j=1}left|sum^n_{j=1} a_{ij}v_j right|^2 leq sum^n_{j=1}left( sum^n_{j=1} |a_{ij}|^2right)left( sum^n_{j=1} |v_j|^2right) \
            =& left(sum^n_{i,j=1}|a_{ij}|^2 right)|v|^2
            end{align}

            which means $|Av| leq C|v|$ where $C$ is independent of $v$.






            share|cite|improve this answer











            $endgroup$













            • $begingroup$
              The norm given is an arbitrary norm.
              $endgroup$
              – Kavi Rama Murthy
              Dec 31 '18 at 9:41










            • $begingroup$
              This answer is wrong. It is valid for the usual norm on Euclidean spaces, not for a general norm.
              $endgroup$
              – Kavi Rama Murthy
              Dec 31 '18 at 10:10










            • $begingroup$
              @KaviRamaMurthy I think the answer is okay. Observe $|v_1-w_1| = |v_1 mathbf{e}_1 - w_1mathbf{e}_1| = |P_1 v-P_1w|leq |P_1|_text{op} |v-w|$
              $endgroup$
              – Jacky Chong
              Dec 31 '18 at 23:46










            • $begingroup$
              You have not understood the question. you are assuming what you are asked to prove. You are asked to show that $P_1$ is a continuous map. How can you assume that it is a bounded operator to prove that it is continuous? @Jacky Chong
              $endgroup$
              – Kavi Rama Murthy
              Dec 31 '18 at 23:58












            • $begingroup$
              @KaviRamaMurthy I guess I'm assuming all linear maps on finite dimensional vector spaces are bounded.
              $endgroup$
              – Jacky Chong
              Jan 1 at 0:03
















            1












            1








            1





            $begingroup$

            Hint: Let $P_1 v = v_1$. Observe
            begin{align}
            |v_1-w_1| = |P_1v-P_1w| leq |P_1||v-w|.
            end{align}



            Edit: A upon the request of @KaviRamaMurthy, I have decided to include a quick proof that all linear maps $A:mathbb{R}^n rightarrow mathbb{R}^n$ are bounded.



            Using matrix representation, we see that
            begin{align}
            |Av|^2=& sum^n_{j=1}left|sum^n_{j=1} a_{ij}v_j right|^2 leq sum^n_{j=1}left( sum^n_{j=1} |a_{ij}|^2right)left( sum^n_{j=1} |v_j|^2right) \
            =& left(sum^n_{i,j=1}|a_{ij}|^2 right)|v|^2
            end{align}

            which means $|Av| leq C|v|$ where $C$ is independent of $v$.






            share|cite|improve this answer











            $endgroup$



            Hint: Let $P_1 v = v_1$. Observe
            begin{align}
            |v_1-w_1| = |P_1v-P_1w| leq |P_1||v-w|.
            end{align}



            Edit: A upon the request of @KaviRamaMurthy, I have decided to include a quick proof that all linear maps $A:mathbb{R}^n rightarrow mathbb{R}^n$ are bounded.



            Using matrix representation, we see that
            begin{align}
            |Av|^2=& sum^n_{j=1}left|sum^n_{j=1} a_{ij}v_j right|^2 leq sum^n_{j=1}left( sum^n_{j=1} |a_{ij}|^2right)left( sum^n_{j=1} |v_j|^2right) \
            =& left(sum^n_{i,j=1}|a_{ij}|^2 right)|v|^2
            end{align}

            which means $|Av| leq C|v|$ where $C$ is independent of $v$.







            share|cite|improve this answer














            share|cite|improve this answer



            share|cite|improve this answer








            edited Jan 1 at 0:18

























            answered Dec 31 '18 at 9:18









            Jacky ChongJacky Chong

            17.8k21128




            17.8k21128












            • $begingroup$
              The norm given is an arbitrary norm.
              $endgroup$
              – Kavi Rama Murthy
              Dec 31 '18 at 9:41










            • $begingroup$
              This answer is wrong. It is valid for the usual norm on Euclidean spaces, not for a general norm.
              $endgroup$
              – Kavi Rama Murthy
              Dec 31 '18 at 10:10










            • $begingroup$
              @KaviRamaMurthy I think the answer is okay. Observe $|v_1-w_1| = |v_1 mathbf{e}_1 - w_1mathbf{e}_1| = |P_1 v-P_1w|leq |P_1|_text{op} |v-w|$
              $endgroup$
              – Jacky Chong
              Dec 31 '18 at 23:46










            • $begingroup$
              You have not understood the question. you are assuming what you are asked to prove. You are asked to show that $P_1$ is a continuous map. How can you assume that it is a bounded operator to prove that it is continuous? @Jacky Chong
              $endgroup$
              – Kavi Rama Murthy
              Dec 31 '18 at 23:58












            • $begingroup$
              @KaviRamaMurthy I guess I'm assuming all linear maps on finite dimensional vector spaces are bounded.
              $endgroup$
              – Jacky Chong
              Jan 1 at 0:03




















            • $begingroup$
              The norm given is an arbitrary norm.
              $endgroup$
              – Kavi Rama Murthy
              Dec 31 '18 at 9:41










            • $begingroup$
              This answer is wrong. It is valid for the usual norm on Euclidean spaces, not for a general norm.
              $endgroup$
              – Kavi Rama Murthy
              Dec 31 '18 at 10:10










            • $begingroup$
              @KaviRamaMurthy I think the answer is okay. Observe $|v_1-w_1| = |v_1 mathbf{e}_1 - w_1mathbf{e}_1| = |P_1 v-P_1w|leq |P_1|_text{op} |v-w|$
              $endgroup$
              – Jacky Chong
              Dec 31 '18 at 23:46










            • $begingroup$
              You have not understood the question. you are assuming what you are asked to prove. You are asked to show that $P_1$ is a continuous map. How can you assume that it is a bounded operator to prove that it is continuous? @Jacky Chong
              $endgroup$
              – Kavi Rama Murthy
              Dec 31 '18 at 23:58












            • $begingroup$
              @KaviRamaMurthy I guess I'm assuming all linear maps on finite dimensional vector spaces are bounded.
              $endgroup$
              – Jacky Chong
              Jan 1 at 0:03


















            $begingroup$
            The norm given is an arbitrary norm.
            $endgroup$
            – Kavi Rama Murthy
            Dec 31 '18 at 9:41




            $begingroup$
            The norm given is an arbitrary norm.
            $endgroup$
            – Kavi Rama Murthy
            Dec 31 '18 at 9:41












            $begingroup$
            This answer is wrong. It is valid for the usual norm on Euclidean spaces, not for a general norm.
            $endgroup$
            – Kavi Rama Murthy
            Dec 31 '18 at 10:10




            $begingroup$
            This answer is wrong. It is valid for the usual norm on Euclidean spaces, not for a general norm.
            $endgroup$
            – Kavi Rama Murthy
            Dec 31 '18 at 10:10












            $begingroup$
            @KaviRamaMurthy I think the answer is okay. Observe $|v_1-w_1| = |v_1 mathbf{e}_1 - w_1mathbf{e}_1| = |P_1 v-P_1w|leq |P_1|_text{op} |v-w|$
            $endgroup$
            – Jacky Chong
            Dec 31 '18 at 23:46




            $begingroup$
            @KaviRamaMurthy I think the answer is okay. Observe $|v_1-w_1| = |v_1 mathbf{e}_1 - w_1mathbf{e}_1| = |P_1 v-P_1w|leq |P_1|_text{op} |v-w|$
            $endgroup$
            – Jacky Chong
            Dec 31 '18 at 23:46












            $begingroup$
            You have not understood the question. you are assuming what you are asked to prove. You are asked to show that $P_1$ is a continuous map. How can you assume that it is a bounded operator to prove that it is continuous? @Jacky Chong
            $endgroup$
            – Kavi Rama Murthy
            Dec 31 '18 at 23:58






            $begingroup$
            You have not understood the question. you are assuming what you are asked to prove. You are asked to show that $P_1$ is a continuous map. How can you assume that it is a bounded operator to prove that it is continuous? @Jacky Chong
            $endgroup$
            – Kavi Rama Murthy
            Dec 31 '18 at 23:58














            $begingroup$
            @KaviRamaMurthy I guess I'm assuming all linear maps on finite dimensional vector spaces are bounded.
            $endgroup$
            – Jacky Chong
            Jan 1 at 0:03






            $begingroup$
            @KaviRamaMurthy I guess I'm assuming all linear maps on finite dimensional vector spaces are bounded.
            $endgroup$
            – Jacky Chong
            Jan 1 at 0:03




















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