What does $| |^2_2$ mean? [closed]












-2












$begingroup$


$$|X_m-X_n|^2_2.$$ To be clear, I am not asking about the $X_m - X_n$ part. I am asking what the $| |^2_2$ thing means.










share|cite|improve this question











$endgroup$



closed as unclear what you're asking by Shailesh, Saad, Jyrki Lahtonen, GNUSupporter 8964民主女神 地下教會, Rebellos Dec 2 '18 at 9:29


Please clarify your specific problem or add additional details to highlight exactly what you need. As it's currently written, it’s hard to tell exactly what you're asking. See the How to Ask page for help clarifying this question. If this question can be reworded to fit the rules in the help center, please edit the question.


















  • $begingroup$
    Welcome to Math.SE. Please use MathJax.
    $endgroup$
    – GNUSupporter 8964民主女神 地下教會
    Dec 2 '18 at 7:23






  • 2




    $begingroup$
    It depends on the context. People only exposed to metric spaces will certainly think of it as the square of the $L^2$-norm. In that part of math tat would be the expectation. But, in another context it could mean something else. Basically whatever the author meant! That's why textbooks often include a page or two where notational conventions are spelled out (possibly including pointers to the pages where they are introduced).
    $endgroup$
    – Jyrki Lahtonen
    Dec 2 '18 at 9:07
















-2












$begingroup$


$$|X_m-X_n|^2_2.$$ To be clear, I am not asking about the $X_m - X_n$ part. I am asking what the $| |^2_2$ thing means.










share|cite|improve this question











$endgroup$



closed as unclear what you're asking by Shailesh, Saad, Jyrki Lahtonen, GNUSupporter 8964民主女神 地下教會, Rebellos Dec 2 '18 at 9:29


Please clarify your specific problem or add additional details to highlight exactly what you need. As it's currently written, it’s hard to tell exactly what you're asking. See the How to Ask page for help clarifying this question. If this question can be reworded to fit the rules in the help center, please edit the question.


















  • $begingroup$
    Welcome to Math.SE. Please use MathJax.
    $endgroup$
    – GNUSupporter 8964民主女神 地下教會
    Dec 2 '18 at 7:23






  • 2




    $begingroup$
    It depends on the context. People only exposed to metric spaces will certainly think of it as the square of the $L^2$-norm. In that part of math tat would be the expectation. But, in another context it could mean something else. Basically whatever the author meant! That's why textbooks often include a page or two where notational conventions are spelled out (possibly including pointers to the pages where they are introduced).
    $endgroup$
    – Jyrki Lahtonen
    Dec 2 '18 at 9:07














-2












-2








-2





$begingroup$


$$|X_m-X_n|^2_2.$$ To be clear, I am not asking about the $X_m - X_n$ part. I am asking what the $| |^2_2$ thing means.










share|cite|improve this question











$endgroup$




$$|X_m-X_n|^2_2.$$ To be clear, I am not asking about the $X_m - X_n$ part. I am asking what the $| |^2_2$ thing means.







notation






share|cite|improve this question















share|cite|improve this question













share|cite|improve this question




share|cite|improve this question








edited Dec 2 '18 at 9:03









Saad

19.7k92352




19.7k92352










asked Dec 2 '18 at 7:22









chiechie

32




32




closed as unclear what you're asking by Shailesh, Saad, Jyrki Lahtonen, GNUSupporter 8964民主女神 地下教會, Rebellos Dec 2 '18 at 9:29


Please clarify your specific problem or add additional details to highlight exactly what you need. As it's currently written, it’s hard to tell exactly what you're asking. See the How to Ask page for help clarifying this question. If this question can be reworded to fit the rules in the help center, please edit the question.









closed as unclear what you're asking by Shailesh, Saad, Jyrki Lahtonen, GNUSupporter 8964民主女神 地下教會, Rebellos Dec 2 '18 at 9:29


Please clarify your specific problem or add additional details to highlight exactly what you need. As it's currently written, it’s hard to tell exactly what you're asking. See the How to Ask page for help clarifying this question. If this question can be reworded to fit the rules in the help center, please edit the question.














  • $begingroup$
    Welcome to Math.SE. Please use MathJax.
    $endgroup$
    – GNUSupporter 8964民主女神 地下教會
    Dec 2 '18 at 7:23






  • 2




    $begingroup$
    It depends on the context. People only exposed to metric spaces will certainly think of it as the square of the $L^2$-norm. In that part of math tat would be the expectation. But, in another context it could mean something else. Basically whatever the author meant! That's why textbooks often include a page or two where notational conventions are spelled out (possibly including pointers to the pages where they are introduced).
    $endgroup$
    – Jyrki Lahtonen
    Dec 2 '18 at 9:07


















  • $begingroup$
    Welcome to Math.SE. Please use MathJax.
    $endgroup$
    – GNUSupporter 8964民主女神 地下教會
    Dec 2 '18 at 7:23






  • 2




    $begingroup$
    It depends on the context. People only exposed to metric spaces will certainly think of it as the square of the $L^2$-norm. In that part of math tat would be the expectation. But, in another context it could mean something else. Basically whatever the author meant! That's why textbooks often include a page or two where notational conventions are spelled out (possibly including pointers to the pages where they are introduced).
    $endgroup$
    – Jyrki Lahtonen
    Dec 2 '18 at 9:07
















$begingroup$
Welcome to Math.SE. Please use MathJax.
$endgroup$
– GNUSupporter 8964民主女神 地下教會
Dec 2 '18 at 7:23




$begingroup$
Welcome to Math.SE. Please use MathJax.
$endgroup$
– GNUSupporter 8964民主女神 地下教會
Dec 2 '18 at 7:23




2




2




$begingroup$
It depends on the context. People only exposed to metric spaces will certainly think of it as the square of the $L^2$-norm. In that part of math tat would be the expectation. But, in another context it could mean something else. Basically whatever the author meant! That's why textbooks often include a page or two where notational conventions are spelled out (possibly including pointers to the pages where they are introduced).
$endgroup$
– Jyrki Lahtonen
Dec 2 '18 at 9:07




$begingroup$
It depends on the context. People only exposed to metric spaces will certainly think of it as the square of the $L^2$-norm. In that part of math tat would be the expectation. But, in another context it could mean something else. Basically whatever the author meant! That's why textbooks often include a page or two where notational conventions are spelled out (possibly including pointers to the pages where they are introduced).
$endgroup$
– Jyrki Lahtonen
Dec 2 '18 at 9:07










2 Answers
2






active

oldest

votes


















2












$begingroup$

$|x|_2$ means the $2$-norm, which is $$sqrt{sum_{i=1}^n x_i^2}$$



while the $2$ on top, is its square
$$|x|^2=sum_{i=1}^n x_i^2.$$



Overall, it means the sum of square of the components.






share|cite|improve this answer









$endgroup$













  • $begingroup$
    So in this case, it would mean: for all m, for all n, take the squared difference between xm and xn.. and then sum everything?
    $endgroup$
    – chie
    Dec 2 '18 at 10:30












  • $begingroup$
    First, are $x_m$ and $x_n$ vectors? If so , when we evaluate $|x_m-x_n|^2$, the $m$ and $n$ are fixed. We compute $x_m-x_n$, then we sum up the square of each component and we sum them up.
    $endgroup$
    – Siong Thye Goh
    Dec 2 '18 at 10:34



















1












$begingroup$

In general, $|| cdot ||_2$ is called the $L^2$-norm, which is a functional from the function space $L^2(Omega,{cal A}, mu)$ to $Bbb R$ defined by $f mapsto (int |f|^2 ,{rm d}mu)^{1/2}$, provided that the integral exists. This is probably the case when you see $$||X_m - X_n||_2$$ since random variables are usually denoted with capital letters in probability-theory.



In particular, when $Omega = Bbb{N}$, $mu$ is the counting measure, we have $||f||_2 = (int |f|^2 ,{rm d}mu)^{1/2} = (sum_n |f_n|^2)^{1/2}$. This is the case if you actually mean
$$||x_m-x_n||_2$$ a norm of vector.



Remark: It's hard to distinguish $X$ from $x$ in your drawing. That's the reason why I promote the use of $rm LaTeX$ in all levels of math writing.






share|cite|improve this answer









$endgroup$




















    2 Answers
    2






    active

    oldest

    votes








    2 Answers
    2






    active

    oldest

    votes









    active

    oldest

    votes






    active

    oldest

    votes









    2












    $begingroup$

    $|x|_2$ means the $2$-norm, which is $$sqrt{sum_{i=1}^n x_i^2}$$



    while the $2$ on top, is its square
    $$|x|^2=sum_{i=1}^n x_i^2.$$



    Overall, it means the sum of square of the components.






    share|cite|improve this answer









    $endgroup$













    • $begingroup$
      So in this case, it would mean: for all m, for all n, take the squared difference between xm and xn.. and then sum everything?
      $endgroup$
      – chie
      Dec 2 '18 at 10:30












    • $begingroup$
      First, are $x_m$ and $x_n$ vectors? If so , when we evaluate $|x_m-x_n|^2$, the $m$ and $n$ are fixed. We compute $x_m-x_n$, then we sum up the square of each component and we sum them up.
      $endgroup$
      – Siong Thye Goh
      Dec 2 '18 at 10:34
















    2












    $begingroup$

    $|x|_2$ means the $2$-norm, which is $$sqrt{sum_{i=1}^n x_i^2}$$



    while the $2$ on top, is its square
    $$|x|^2=sum_{i=1}^n x_i^2.$$



    Overall, it means the sum of square of the components.






    share|cite|improve this answer









    $endgroup$













    • $begingroup$
      So in this case, it would mean: for all m, for all n, take the squared difference between xm and xn.. and then sum everything?
      $endgroup$
      – chie
      Dec 2 '18 at 10:30












    • $begingroup$
      First, are $x_m$ and $x_n$ vectors? If so , when we evaluate $|x_m-x_n|^2$, the $m$ and $n$ are fixed. We compute $x_m-x_n$, then we sum up the square of each component and we sum them up.
      $endgroup$
      – Siong Thye Goh
      Dec 2 '18 at 10:34














    2












    2








    2





    $begingroup$

    $|x|_2$ means the $2$-norm, which is $$sqrt{sum_{i=1}^n x_i^2}$$



    while the $2$ on top, is its square
    $$|x|^2=sum_{i=1}^n x_i^2.$$



    Overall, it means the sum of square of the components.






    share|cite|improve this answer









    $endgroup$



    $|x|_2$ means the $2$-norm, which is $$sqrt{sum_{i=1}^n x_i^2}$$



    while the $2$ on top, is its square
    $$|x|^2=sum_{i=1}^n x_i^2.$$



    Overall, it means the sum of square of the components.







    share|cite|improve this answer












    share|cite|improve this answer



    share|cite|improve this answer










    answered Dec 2 '18 at 7:32









    Siong Thye GohSiong Thye Goh

    100k1466117




    100k1466117












    • $begingroup$
      So in this case, it would mean: for all m, for all n, take the squared difference between xm and xn.. and then sum everything?
      $endgroup$
      – chie
      Dec 2 '18 at 10:30












    • $begingroup$
      First, are $x_m$ and $x_n$ vectors? If so , when we evaluate $|x_m-x_n|^2$, the $m$ and $n$ are fixed. We compute $x_m-x_n$, then we sum up the square of each component and we sum them up.
      $endgroup$
      – Siong Thye Goh
      Dec 2 '18 at 10:34


















    • $begingroup$
      So in this case, it would mean: for all m, for all n, take the squared difference between xm and xn.. and then sum everything?
      $endgroup$
      – chie
      Dec 2 '18 at 10:30












    • $begingroup$
      First, are $x_m$ and $x_n$ vectors? If so , when we evaluate $|x_m-x_n|^2$, the $m$ and $n$ are fixed. We compute $x_m-x_n$, then we sum up the square of each component and we sum them up.
      $endgroup$
      – Siong Thye Goh
      Dec 2 '18 at 10:34
















    $begingroup$
    So in this case, it would mean: for all m, for all n, take the squared difference between xm and xn.. and then sum everything?
    $endgroup$
    – chie
    Dec 2 '18 at 10:30






    $begingroup$
    So in this case, it would mean: for all m, for all n, take the squared difference between xm and xn.. and then sum everything?
    $endgroup$
    – chie
    Dec 2 '18 at 10:30














    $begingroup$
    First, are $x_m$ and $x_n$ vectors? If so , when we evaluate $|x_m-x_n|^2$, the $m$ and $n$ are fixed. We compute $x_m-x_n$, then we sum up the square of each component and we sum them up.
    $endgroup$
    – Siong Thye Goh
    Dec 2 '18 at 10:34




    $begingroup$
    First, are $x_m$ and $x_n$ vectors? If so , when we evaluate $|x_m-x_n|^2$, the $m$ and $n$ are fixed. We compute $x_m-x_n$, then we sum up the square of each component and we sum them up.
    $endgroup$
    – Siong Thye Goh
    Dec 2 '18 at 10:34











    1












    $begingroup$

    In general, $|| cdot ||_2$ is called the $L^2$-norm, which is a functional from the function space $L^2(Omega,{cal A}, mu)$ to $Bbb R$ defined by $f mapsto (int |f|^2 ,{rm d}mu)^{1/2}$, provided that the integral exists. This is probably the case when you see $$||X_m - X_n||_2$$ since random variables are usually denoted with capital letters in probability-theory.



    In particular, when $Omega = Bbb{N}$, $mu$ is the counting measure, we have $||f||_2 = (int |f|^2 ,{rm d}mu)^{1/2} = (sum_n |f_n|^2)^{1/2}$. This is the case if you actually mean
    $$||x_m-x_n||_2$$ a norm of vector.



    Remark: It's hard to distinguish $X$ from $x$ in your drawing. That's the reason why I promote the use of $rm LaTeX$ in all levels of math writing.






    share|cite|improve this answer









    $endgroup$


















      1












      $begingroup$

      In general, $|| cdot ||_2$ is called the $L^2$-norm, which is a functional from the function space $L^2(Omega,{cal A}, mu)$ to $Bbb R$ defined by $f mapsto (int |f|^2 ,{rm d}mu)^{1/2}$, provided that the integral exists. This is probably the case when you see $$||X_m - X_n||_2$$ since random variables are usually denoted with capital letters in probability-theory.



      In particular, when $Omega = Bbb{N}$, $mu$ is the counting measure, we have $||f||_2 = (int |f|^2 ,{rm d}mu)^{1/2} = (sum_n |f_n|^2)^{1/2}$. This is the case if you actually mean
      $$||x_m-x_n||_2$$ a norm of vector.



      Remark: It's hard to distinguish $X$ from $x$ in your drawing. That's the reason why I promote the use of $rm LaTeX$ in all levels of math writing.






      share|cite|improve this answer









      $endgroup$
















        1












        1








        1





        $begingroup$

        In general, $|| cdot ||_2$ is called the $L^2$-norm, which is a functional from the function space $L^2(Omega,{cal A}, mu)$ to $Bbb R$ defined by $f mapsto (int |f|^2 ,{rm d}mu)^{1/2}$, provided that the integral exists. This is probably the case when you see $$||X_m - X_n||_2$$ since random variables are usually denoted with capital letters in probability-theory.



        In particular, when $Omega = Bbb{N}$, $mu$ is the counting measure, we have $||f||_2 = (int |f|^2 ,{rm d}mu)^{1/2} = (sum_n |f_n|^2)^{1/2}$. This is the case if you actually mean
        $$||x_m-x_n||_2$$ a norm of vector.



        Remark: It's hard to distinguish $X$ from $x$ in your drawing. That's the reason why I promote the use of $rm LaTeX$ in all levels of math writing.






        share|cite|improve this answer









        $endgroup$



        In general, $|| cdot ||_2$ is called the $L^2$-norm, which is a functional from the function space $L^2(Omega,{cal A}, mu)$ to $Bbb R$ defined by $f mapsto (int |f|^2 ,{rm d}mu)^{1/2}$, provided that the integral exists. This is probably the case when you see $$||X_m - X_n||_2$$ since random variables are usually denoted with capital letters in probability-theory.



        In particular, when $Omega = Bbb{N}$, $mu$ is the counting measure, we have $||f||_2 = (int |f|^2 ,{rm d}mu)^{1/2} = (sum_n |f_n|^2)^{1/2}$. This is the case if you actually mean
        $$||x_m-x_n||_2$$ a norm of vector.



        Remark: It's hard to distinguish $X$ from $x$ in your drawing. That's the reason why I promote the use of $rm LaTeX$ in all levels of math writing.







        share|cite|improve this answer












        share|cite|improve this answer



        share|cite|improve this answer










        answered Dec 2 '18 at 7:34









        GNUSupporter 8964民主女神 地下教會GNUSupporter 8964民主女神 地下教會

        12.8k72445




        12.8k72445















            Popular posts from this blog

            Plaza Victoria

            Brian Clough

            Cáceres