Every inner product space is a metric space.












0












$begingroup$


Show that every inner product space is a metric space.



To show this should I set the distance metric as $d(x,y) = <x-y,x-y>$, then show properties of being metric space such as d(x,y) = d(y,x) etc.?
If so the point I do not understand is why we set metric as $d(x,y) = <x-y,x-y>$ (this metric is mentioned in wolfram)










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  • $begingroup$
    you should use $d(x,y) = sqrt{langle x-y, x-yrangle}$
    $endgroup$
    – Thomas
    Dec 6 '18 at 19:46


















0












$begingroup$


Show that every inner product space is a metric space.



To show this should I set the distance metric as $d(x,y) = <x-y,x-y>$, then show properties of being metric space such as d(x,y) = d(y,x) etc.?
If so the point I do not understand is why we set metric as $d(x,y) = <x-y,x-y>$ (this metric is mentioned in wolfram)










share|cite|improve this question









$endgroup$












  • $begingroup$
    you should use $d(x,y) = sqrt{langle x-y, x-yrangle}$
    $endgroup$
    – Thomas
    Dec 6 '18 at 19:46
















0












0








0





$begingroup$


Show that every inner product space is a metric space.



To show this should I set the distance metric as $d(x,y) = <x-y,x-y>$, then show properties of being metric space such as d(x,y) = d(y,x) etc.?
If so the point I do not understand is why we set metric as $d(x,y) = <x-y,x-y>$ (this metric is mentioned in wolfram)










share|cite|improve this question









$endgroup$




Show that every inner product space is a metric space.



To show this should I set the distance metric as $d(x,y) = <x-y,x-y>$, then show properties of being metric space such as d(x,y) = d(y,x) etc.?
If so the point I do not understand is why we set metric as $d(x,y) = <x-y,x-y>$ (this metric is mentioned in wolfram)







real-analysis metric-spaces inner-product-space






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asked Dec 6 '18 at 19:43









PumpkinPumpkin

5021417




5021417












  • $begingroup$
    you should use $d(x,y) = sqrt{langle x-y, x-yrangle}$
    $endgroup$
    – Thomas
    Dec 6 '18 at 19:46




















  • $begingroup$
    you should use $d(x,y) = sqrt{langle x-y, x-yrangle}$
    $endgroup$
    – Thomas
    Dec 6 '18 at 19:46


















$begingroup$
you should use $d(x,y) = sqrt{langle x-y, x-yrangle}$
$endgroup$
– Thomas
Dec 6 '18 at 19:46






$begingroup$
you should use $d(x,y) = sqrt{langle x-y, x-yrangle}$
$endgroup$
– Thomas
Dec 6 '18 at 19:46












3 Answers
3






active

oldest

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2












$begingroup$

That is wrong. It should be $d(x,y)=sqrt{langle x-y,x-yrangle}$ because the map $xmapstosqrt{langle x,xrangle}$ is a norm. And, whenever you have a norm $lVertcdotrVert$, the map $(x,y)mapstolVert x-yrVert$ is a distance.






share|cite|improve this answer









$endgroup$





















    1












    $begingroup$

    The inner product induces a norm via
    $$||x||:=sqrt{langle x,xrangle}$$
    and then, the norm induces a metric via
    $$d(x,y):=||x-y||$$
    which is precisely what is mentioned in the comment above. In general, one has the relation $text{Inner Product Spaces}subsettext{Normed Vector Spaces}subsettext{Metric Spaces}$.






    share|cite|improve this answer









    $endgroup$





















      0












      $begingroup$

      You are setting $d(x,y)=||x-y||$. So your metric here comes from the norm. You can check that it satisfies the required metric conditions.



      We are not sating that this is the only way to choose a metric on the space, but it is one way.






      share|cite|improve this answer









      $endgroup$













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        3 Answers
        3






        active

        oldest

        votes








        3 Answers
        3






        active

        oldest

        votes









        active

        oldest

        votes






        active

        oldest

        votes









        2












        $begingroup$

        That is wrong. It should be $d(x,y)=sqrt{langle x-y,x-yrangle}$ because the map $xmapstosqrt{langle x,xrangle}$ is a norm. And, whenever you have a norm $lVertcdotrVert$, the map $(x,y)mapstolVert x-yrVert$ is a distance.






        share|cite|improve this answer









        $endgroup$


















          2












          $begingroup$

          That is wrong. It should be $d(x,y)=sqrt{langle x-y,x-yrangle}$ because the map $xmapstosqrt{langle x,xrangle}$ is a norm. And, whenever you have a norm $lVertcdotrVert$, the map $(x,y)mapstolVert x-yrVert$ is a distance.






          share|cite|improve this answer









          $endgroup$
















            2












            2








            2





            $begingroup$

            That is wrong. It should be $d(x,y)=sqrt{langle x-y,x-yrangle}$ because the map $xmapstosqrt{langle x,xrangle}$ is a norm. And, whenever you have a norm $lVertcdotrVert$, the map $(x,y)mapstolVert x-yrVert$ is a distance.






            share|cite|improve this answer









            $endgroup$



            That is wrong. It should be $d(x,y)=sqrt{langle x-y,x-yrangle}$ because the map $xmapstosqrt{langle x,xrangle}$ is a norm. And, whenever you have a norm $lVertcdotrVert$, the map $(x,y)mapstolVert x-yrVert$ is a distance.







            share|cite|improve this answer












            share|cite|improve this answer



            share|cite|improve this answer










            answered Dec 6 '18 at 19:50









            José Carlos SantosJosé Carlos Santos

            155k22124227




            155k22124227























                1












                $begingroup$

                The inner product induces a norm via
                $$||x||:=sqrt{langle x,xrangle}$$
                and then, the norm induces a metric via
                $$d(x,y):=||x-y||$$
                which is precisely what is mentioned in the comment above. In general, one has the relation $text{Inner Product Spaces}subsettext{Normed Vector Spaces}subsettext{Metric Spaces}$.






                share|cite|improve this answer









                $endgroup$


















                  1












                  $begingroup$

                  The inner product induces a norm via
                  $$||x||:=sqrt{langle x,xrangle}$$
                  and then, the norm induces a metric via
                  $$d(x,y):=||x-y||$$
                  which is precisely what is mentioned in the comment above. In general, one has the relation $text{Inner Product Spaces}subsettext{Normed Vector Spaces}subsettext{Metric Spaces}$.






                  share|cite|improve this answer









                  $endgroup$
















                    1












                    1








                    1





                    $begingroup$

                    The inner product induces a norm via
                    $$||x||:=sqrt{langle x,xrangle}$$
                    and then, the norm induces a metric via
                    $$d(x,y):=||x-y||$$
                    which is precisely what is mentioned in the comment above. In general, one has the relation $text{Inner Product Spaces}subsettext{Normed Vector Spaces}subsettext{Metric Spaces}$.






                    share|cite|improve this answer









                    $endgroup$



                    The inner product induces a norm via
                    $$||x||:=sqrt{langle x,xrangle}$$
                    and then, the norm induces a metric via
                    $$d(x,y):=||x-y||$$
                    which is precisely what is mentioned in the comment above. In general, one has the relation $text{Inner Product Spaces}subsettext{Normed Vector Spaces}subsettext{Metric Spaces}$.







                    share|cite|improve this answer












                    share|cite|improve this answer



                    share|cite|improve this answer










                    answered Dec 6 '18 at 19:50









                    JWP_HTXJWP_HTX

                    410313




                    410313























                        0












                        $begingroup$

                        You are setting $d(x,y)=||x-y||$. So your metric here comes from the norm. You can check that it satisfies the required metric conditions.



                        We are not sating that this is the only way to choose a metric on the space, but it is one way.






                        share|cite|improve this answer









                        $endgroup$


















                          0












                          $begingroup$

                          You are setting $d(x,y)=||x-y||$. So your metric here comes from the norm. You can check that it satisfies the required metric conditions.



                          We are not sating that this is the only way to choose a metric on the space, but it is one way.






                          share|cite|improve this answer









                          $endgroup$
















                            0












                            0








                            0





                            $begingroup$

                            You are setting $d(x,y)=||x-y||$. So your metric here comes from the norm. You can check that it satisfies the required metric conditions.



                            We are not sating that this is the only way to choose a metric on the space, but it is one way.






                            share|cite|improve this answer









                            $endgroup$



                            You are setting $d(x,y)=||x-y||$. So your metric here comes from the norm. You can check that it satisfies the required metric conditions.



                            We are not sating that this is the only way to choose a metric on the space, but it is one way.







                            share|cite|improve this answer












                            share|cite|improve this answer



                            share|cite|improve this answer










                            answered Dec 6 '18 at 19:53









                            AnyADAnyAD

                            2,088812




                            2,088812






























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