Is the set of inner product spaces a subset of the set of metric spaces? Announcing the arrival of Valued Associate #679: Cesar Manara Planned maintenance scheduled April 23, 2019 at 23:30 UTC (7:30pm US/Eastern)What is it about modern set theory that prevents us from defining the set of all sets which are not members of themselves?Metric Space, Normed Space, and Inner Product space hierarcyConcepts of isomorphisms of linear spaces with a norm and inner productAssociation of a vector space to metric, normed and inner product spacesAre all the finite dimensional vector spaces with a metric isometric to $mathbb R^n$Generalization of inner product spaces (analogue to uniform spaces/locally convex spaces)Topological space $nRightarrow$ Metric space $nRightarrow$ Normed space $nRightarrow$ Inner product space (Examples)Metric spaces and normed vector spacesWhat is more general than a topological space?Is Hilbert space a Normed Space or a Inner Product Space? Or it have to be both at the same time?Relation between metric spaces, normed vector spaces, and inner product space.

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Is the set of inner product spaces a subset of the set of metric spaces?



Announcing the arrival of Valued Associate #679: Cesar Manara
Planned maintenance scheduled April 23, 2019 at 23:30 UTC (7:30pm US/Eastern)What is it about modern set theory that prevents us from defining the set of all sets which are not members of themselves?Metric Space, Normed Space, and Inner Product space hierarcyConcepts of isomorphisms of linear spaces with a norm and inner productAssociation of a vector space to metric, normed and inner product spacesAre all the finite dimensional vector spaces with a metric isometric to $mathbb R^n$Generalization of inner product spaces (analogue to uniform spaces/locally convex spaces)Topological space $nRightarrow$ Metric space $nRightarrow$ Normed space $nRightarrow$ Inner product space (Examples)Metric spaces and normed vector spacesWhat is more general than a topological space?Is Hilbert space a Normed Space or a Inner Product Space? Or it have to be both at the same time?Relation between metric spaces, normed vector spaces, and inner product space.










0












$begingroup$


I found this picture



I found this picture when looking up topological spaces.



Is this picture actually supposed to be interpreted as decreasing sets? That is, all inner product spaces are normed vector spaces, all metric spaces are topological spaces etc?



But this would mean that every inner product space and normed vector space was a metric space. However, I don't recall inner product spaces and normed vector spaces having a metric, so it's not a metric space. Right?



On the other hand Inner product spaces do have norms, so it is a normed space. So it does make sense that it's a subset of Normed vector space.










share|cite|improve this question











$endgroup$







  • 3




    $begingroup$
    In a normed vector space $(V,|cdot|)$ the metric is $d(x,y)=|x-y|.$
    $endgroup$
    – Thomas Andrews
    Apr 2 at 15:28







  • 6




    $begingroup$
    Right picture but none of these is a set.
    $endgroup$
    – Moishe Kohan
    Apr 2 at 15:29










  • $begingroup$
    Call these "classes" or "categories" or "universes" but do not call them "sets". math.stackexchange.com/questions/182618/…
    $endgroup$
    – Moishe Kohan
    Apr 2 at 18:25















0












$begingroup$


I found this picture



I found this picture when looking up topological spaces.



Is this picture actually supposed to be interpreted as decreasing sets? That is, all inner product spaces are normed vector spaces, all metric spaces are topological spaces etc?



But this would mean that every inner product space and normed vector space was a metric space. However, I don't recall inner product spaces and normed vector spaces having a metric, so it's not a metric space. Right?



On the other hand Inner product spaces do have norms, so it is a normed space. So it does make sense that it's a subset of Normed vector space.










share|cite|improve this question











$endgroup$







  • 3




    $begingroup$
    In a normed vector space $(V,|cdot|)$ the metric is $d(x,y)=|x-y|.$
    $endgroup$
    – Thomas Andrews
    Apr 2 at 15:28







  • 6




    $begingroup$
    Right picture but none of these is a set.
    $endgroup$
    – Moishe Kohan
    Apr 2 at 15:29










  • $begingroup$
    Call these "classes" or "categories" or "universes" but do not call them "sets". math.stackexchange.com/questions/182618/…
    $endgroup$
    – Moishe Kohan
    Apr 2 at 18:25













0












0








0





$begingroup$


I found this picture



I found this picture when looking up topological spaces.



Is this picture actually supposed to be interpreted as decreasing sets? That is, all inner product spaces are normed vector spaces, all metric spaces are topological spaces etc?



But this would mean that every inner product space and normed vector space was a metric space. However, I don't recall inner product spaces and normed vector spaces having a metric, so it's not a metric space. Right?



On the other hand Inner product spaces do have norms, so it is a normed space. So it does make sense that it's a subset of Normed vector space.










share|cite|improve this question











$endgroup$




I found this picture



I found this picture when looking up topological spaces.



Is this picture actually supposed to be interpreted as decreasing sets? That is, all inner product spaces are normed vector spaces, all metric spaces are topological spaces etc?



But this would mean that every inner product space and normed vector space was a metric space. However, I don't recall inner product spaces and normed vector spaces having a metric, so it's not a metric space. Right?



On the other hand Inner product spaces do have norms, so it is a normed space. So it does make sense that it's a subset of Normed vector space.







real-analysis general-topology analysis metric-spaces normed-spaces






share|cite|improve this question















share|cite|improve this question













share|cite|improve this question




share|cite|improve this question








edited Apr 2 at 18:14









José Carlos Santos

176k24137247




176k24137247










asked Apr 2 at 15:26









QwertfordQwertford

333212




333212







  • 3




    $begingroup$
    In a normed vector space $(V,|cdot|)$ the metric is $d(x,y)=|x-y|.$
    $endgroup$
    – Thomas Andrews
    Apr 2 at 15:28







  • 6




    $begingroup$
    Right picture but none of these is a set.
    $endgroup$
    – Moishe Kohan
    Apr 2 at 15:29










  • $begingroup$
    Call these "classes" or "categories" or "universes" but do not call them "sets". math.stackexchange.com/questions/182618/…
    $endgroup$
    – Moishe Kohan
    Apr 2 at 18:25












  • 3




    $begingroup$
    In a normed vector space $(V,|cdot|)$ the metric is $d(x,y)=|x-y|.$
    $endgroup$
    – Thomas Andrews
    Apr 2 at 15:28







  • 6




    $begingroup$
    Right picture but none of these is a set.
    $endgroup$
    – Moishe Kohan
    Apr 2 at 15:29










  • $begingroup$
    Call these "classes" or "categories" or "universes" but do not call them "sets". math.stackexchange.com/questions/182618/…
    $endgroup$
    – Moishe Kohan
    Apr 2 at 18:25







3




3




$begingroup$
In a normed vector space $(V,|cdot|)$ the metric is $d(x,y)=|x-y|.$
$endgroup$
– Thomas Andrews
Apr 2 at 15:28





$begingroup$
In a normed vector space $(V,|cdot|)$ the metric is $d(x,y)=|x-y|.$
$endgroup$
– Thomas Andrews
Apr 2 at 15:28





6




6




$begingroup$
Right picture but none of these is a set.
$endgroup$
– Moishe Kohan
Apr 2 at 15:29




$begingroup$
Right picture but none of these is a set.
$endgroup$
– Moishe Kohan
Apr 2 at 15:29












$begingroup$
Call these "classes" or "categories" or "universes" but do not call them "sets". math.stackexchange.com/questions/182618/…
$endgroup$
– Moishe Kohan
Apr 2 at 18:25




$begingroup$
Call these "classes" or "categories" or "universes" but do not call them "sets". math.stackexchange.com/questions/182618/…
$endgroup$
– Moishe Kohan
Apr 2 at 18:25










2 Answers
2






active

oldest

votes


















1












$begingroup$

If a vector space has an inner product, it has corresponding norm ($|x|=sqrtlangle x,xrangle$). Not all normed spaces are of this form (hence the proper inclusion)



If a vector space has a norm, it has a corresponding metric $d(x,y)=|x-y|$. Not all metric spaces are of this form (e.g. the discrete metric on $mathbbR$ is not, and moreover not all metric spaces have a natural underlying vector space structure that is needed for a norm).



If a set has a metric, it has a topology (the smallest one that makes all balls $B(x,r)$ open sets), but many topological spaces do not come from any metric (though there are theorems that tell us exactly when this is the case).



So the "inclusions" tell us that some structures naturally give rise to another more widely applicable structure.






share|cite|improve this answer









$endgroup$




















    1












    $begingroup$

    If $(V,lVertcdotrVert)$ is a normed space, then $V$ becomes a amtric space if we consider the distance $d$ defined as $d(v,w)=lVert v-wrVert$.



    And not all norms come from inner products. Consider, for instance, in $mathbb R^n$ the norm$$bigllVert(a_1,ldots,a_n)bigrrVert_1=lvert a_1rvert+lvert a_2rvert+cdots+lvert a_nrvert.$$






    share|cite|improve this answer









    $endgroup$












    • $begingroup$
      Well if we can just define a metric out of nothing, can I also say all metric spaces are inner product spaces because I can just define an inner product?
      $endgroup$
      – Qwertford
      Apr 2 at 15:36










    • $begingroup$
      How do you defined an inner product starting frome the discrete metric?
      $endgroup$
      – José Carlos Santos
      Apr 2 at 15:37











    Your Answer








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    2 Answers
    2






    active

    oldest

    votes








    2 Answers
    2






    active

    oldest

    votes









    active

    oldest

    votes






    active

    oldest

    votes









    1












    $begingroup$

    If a vector space has an inner product, it has corresponding norm ($|x|=sqrtlangle x,xrangle$). Not all normed spaces are of this form (hence the proper inclusion)



    If a vector space has a norm, it has a corresponding metric $d(x,y)=|x-y|$. Not all metric spaces are of this form (e.g. the discrete metric on $mathbbR$ is not, and moreover not all metric spaces have a natural underlying vector space structure that is needed for a norm).



    If a set has a metric, it has a topology (the smallest one that makes all balls $B(x,r)$ open sets), but many topological spaces do not come from any metric (though there are theorems that tell us exactly when this is the case).



    So the "inclusions" tell us that some structures naturally give rise to another more widely applicable structure.






    share|cite|improve this answer









    $endgroup$

















      1












      $begingroup$

      If a vector space has an inner product, it has corresponding norm ($|x|=sqrtlangle x,xrangle$). Not all normed spaces are of this form (hence the proper inclusion)



      If a vector space has a norm, it has a corresponding metric $d(x,y)=|x-y|$. Not all metric spaces are of this form (e.g. the discrete metric on $mathbbR$ is not, and moreover not all metric spaces have a natural underlying vector space structure that is needed for a norm).



      If a set has a metric, it has a topology (the smallest one that makes all balls $B(x,r)$ open sets), but many topological spaces do not come from any metric (though there are theorems that tell us exactly when this is the case).



      So the "inclusions" tell us that some structures naturally give rise to another more widely applicable structure.






      share|cite|improve this answer









      $endgroup$















        1












        1








        1





        $begingroup$

        If a vector space has an inner product, it has corresponding norm ($|x|=sqrtlangle x,xrangle$). Not all normed spaces are of this form (hence the proper inclusion)



        If a vector space has a norm, it has a corresponding metric $d(x,y)=|x-y|$. Not all metric spaces are of this form (e.g. the discrete metric on $mathbbR$ is not, and moreover not all metric spaces have a natural underlying vector space structure that is needed for a norm).



        If a set has a metric, it has a topology (the smallest one that makes all balls $B(x,r)$ open sets), but many topological spaces do not come from any metric (though there are theorems that tell us exactly when this is the case).



        So the "inclusions" tell us that some structures naturally give rise to another more widely applicable structure.






        share|cite|improve this answer









        $endgroup$



        If a vector space has an inner product, it has corresponding norm ($|x|=sqrtlangle x,xrangle$). Not all normed spaces are of this form (hence the proper inclusion)



        If a vector space has a norm, it has a corresponding metric $d(x,y)=|x-y|$. Not all metric spaces are of this form (e.g. the discrete metric on $mathbbR$ is not, and moreover not all metric spaces have a natural underlying vector space structure that is needed for a norm).



        If a set has a metric, it has a topology (the smallest one that makes all balls $B(x,r)$ open sets), but many topological spaces do not come from any metric (though there are theorems that tell us exactly when this is the case).



        So the "inclusions" tell us that some structures naturally give rise to another more widely applicable structure.







        share|cite|improve this answer












        share|cite|improve this answer



        share|cite|improve this answer










        answered Apr 2 at 17:11









        Henno BrandsmaHenno Brandsma

        117k350128




        117k350128





















            1












            $begingroup$

            If $(V,lVertcdotrVert)$ is a normed space, then $V$ becomes a amtric space if we consider the distance $d$ defined as $d(v,w)=lVert v-wrVert$.



            And not all norms come from inner products. Consider, for instance, in $mathbb R^n$ the norm$$bigllVert(a_1,ldots,a_n)bigrrVert_1=lvert a_1rvert+lvert a_2rvert+cdots+lvert a_nrvert.$$






            share|cite|improve this answer









            $endgroup$












            • $begingroup$
              Well if we can just define a metric out of nothing, can I also say all metric spaces are inner product spaces because I can just define an inner product?
              $endgroup$
              – Qwertford
              Apr 2 at 15:36










            • $begingroup$
              How do you defined an inner product starting frome the discrete metric?
              $endgroup$
              – José Carlos Santos
              Apr 2 at 15:37















            1












            $begingroup$

            If $(V,lVertcdotrVert)$ is a normed space, then $V$ becomes a amtric space if we consider the distance $d$ defined as $d(v,w)=lVert v-wrVert$.



            And not all norms come from inner products. Consider, for instance, in $mathbb R^n$ the norm$$bigllVert(a_1,ldots,a_n)bigrrVert_1=lvert a_1rvert+lvert a_2rvert+cdots+lvert a_nrvert.$$






            share|cite|improve this answer









            $endgroup$












            • $begingroup$
              Well if we can just define a metric out of nothing, can I also say all metric spaces are inner product spaces because I can just define an inner product?
              $endgroup$
              – Qwertford
              Apr 2 at 15:36










            • $begingroup$
              How do you defined an inner product starting frome the discrete metric?
              $endgroup$
              – José Carlos Santos
              Apr 2 at 15:37













            1












            1








            1





            $begingroup$

            If $(V,lVertcdotrVert)$ is a normed space, then $V$ becomes a amtric space if we consider the distance $d$ defined as $d(v,w)=lVert v-wrVert$.



            And not all norms come from inner products. Consider, for instance, in $mathbb R^n$ the norm$$bigllVert(a_1,ldots,a_n)bigrrVert_1=lvert a_1rvert+lvert a_2rvert+cdots+lvert a_nrvert.$$






            share|cite|improve this answer









            $endgroup$



            If $(V,lVertcdotrVert)$ is a normed space, then $V$ becomes a amtric space if we consider the distance $d$ defined as $d(v,w)=lVert v-wrVert$.



            And not all norms come from inner products. Consider, for instance, in $mathbb R^n$ the norm$$bigllVert(a_1,ldots,a_n)bigrrVert_1=lvert a_1rvert+lvert a_2rvert+cdots+lvert a_nrvert.$$







            share|cite|improve this answer












            share|cite|improve this answer



            share|cite|improve this answer










            answered Apr 2 at 15:32









            José Carlos SantosJosé Carlos Santos

            176k24137247




            176k24137247











            • $begingroup$
              Well if we can just define a metric out of nothing, can I also say all metric spaces are inner product spaces because I can just define an inner product?
              $endgroup$
              – Qwertford
              Apr 2 at 15:36










            • $begingroup$
              How do you defined an inner product starting frome the discrete metric?
              $endgroup$
              – José Carlos Santos
              Apr 2 at 15:37
















            • $begingroup$
              Well if we can just define a metric out of nothing, can I also say all metric spaces are inner product spaces because I can just define an inner product?
              $endgroup$
              – Qwertford
              Apr 2 at 15:36










            • $begingroup$
              How do you defined an inner product starting frome the discrete metric?
              $endgroup$
              – José Carlos Santos
              Apr 2 at 15:37















            $begingroup$
            Well if we can just define a metric out of nothing, can I also say all metric spaces are inner product spaces because I can just define an inner product?
            $endgroup$
            – Qwertford
            Apr 2 at 15:36




            $begingroup$
            Well if we can just define a metric out of nothing, can I also say all metric spaces are inner product spaces because I can just define an inner product?
            $endgroup$
            – Qwertford
            Apr 2 at 15:36












            $begingroup$
            How do you defined an inner product starting frome the discrete metric?
            $endgroup$
            – José Carlos Santos
            Apr 2 at 15:37




            $begingroup$
            How do you defined an inner product starting frome the discrete metric?
            $endgroup$
            – José Carlos Santos
            Apr 2 at 15:37

















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