Linear algebra: Find || || u || v ||












0












$begingroup$


Let u = (2, 4, 1) and v = (-3, 5, -1).



The question asks me to find || ||u||v|| but I don't know exactly what that means as I've never seen something written like this (other than guessing that it's a question about parallels). I've searched everywhere for a question similar to this but I couldn't find anything. Any help would be appreciated. Thanks!










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$endgroup$

















    0












    $begingroup$


    Let u = (2, 4, 1) and v = (-3, 5, -1).



    The question asks me to find || ||u||v|| but I don't know exactly what that means as I've never seen something written like this (other than guessing that it's a question about parallels). I've searched everywhere for a question similar to this but I couldn't find anything. Any help would be appreciated. Thanks!










    share|cite|improve this question









    $endgroup$















      0












      0








      0





      $begingroup$


      Let u = (2, 4, 1) and v = (-3, 5, -1).



      The question asks me to find || ||u||v|| but I don't know exactly what that means as I've never seen something written like this (other than guessing that it's a question about parallels). I've searched everywhere for a question similar to this but I couldn't find anything. Any help would be appreciated. Thanks!










      share|cite|improve this question









      $endgroup$




      Let u = (2, 4, 1) and v = (-3, 5, -1).



      The question asks me to find || ||u||v|| but I don't know exactly what that means as I've never seen something written like this (other than guessing that it's a question about parallels). I've searched everywhere for a question similar to this but I couldn't find anything. Any help would be appreciated. Thanks!







      linear-algebra






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      asked Jan 25 at 21:15









      DwightDDwightD

      42




      42






















          2 Answers
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          1












          $begingroup$

          The notation of those double-bars refers to the norm on the vector space (usually the euclidean norm $||x||=sqrt{x_1^2+x_2^2+x_3^2}$). Knowing this, we can see how the expression in your question was constructed:




          • Start with the vector $u$ and take its norm $||u||$.


          • $||u||$ is a real number - a scalar - so we can take any other vector $v$ and multiply it by that scalar to get $||u||v$.


          • $||u||v$ is a vector. Therefore, we can take its norm $||(||u||v)||$.


          This is subtly different to the expression $||u||.||v||$ mentioned by Jagol95 in the comment. However, knowing the properties of norms it turns out that the two expressions are actually equal. I wouldn't be surprised if your teacher follows up by getting you to confirm this for the specific example (You should probably attempt this even if they don't).






          share|cite|improve this answer









          $endgroup$





















            1












            $begingroup$

            Hint: Probably $lVert mathbf{x}rVert$ signifies the (Euclidean) norm of the vector $mathbf{x}$, so
            $lVert (x_1,x_2,x_3) rVert = sqrt{x_1^2+x_2^2+x_3^2}$.



            You probably have a typo and mean $lVert mathbf{u}rVert lVert mathbf{v}rVert$, the product of $lVert mathbf{u}rVert$ and $lVert mathbf{v}rVert$.



            Or, possibly you mean $BiglVert underbrace{lVert mathbf{u}rVert mathbf{v}}_textrm{scalar times vector} BigrVert$ (as @Chessanator suggests)? Your notation is difficult to understand without using MathJax.






            share|cite|improve this answer











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              2 Answers
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              2 Answers
              2






              active

              oldest

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              active

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              votes






              active

              oldest

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              1












              $begingroup$

              The notation of those double-bars refers to the norm on the vector space (usually the euclidean norm $||x||=sqrt{x_1^2+x_2^2+x_3^2}$). Knowing this, we can see how the expression in your question was constructed:




              • Start with the vector $u$ and take its norm $||u||$.


              • $||u||$ is a real number - a scalar - so we can take any other vector $v$ and multiply it by that scalar to get $||u||v$.


              • $||u||v$ is a vector. Therefore, we can take its norm $||(||u||v)||$.


              This is subtly different to the expression $||u||.||v||$ mentioned by Jagol95 in the comment. However, knowing the properties of norms it turns out that the two expressions are actually equal. I wouldn't be surprised if your teacher follows up by getting you to confirm this for the specific example (You should probably attempt this even if they don't).






              share|cite|improve this answer









              $endgroup$


















                1












                $begingroup$

                The notation of those double-bars refers to the norm on the vector space (usually the euclidean norm $||x||=sqrt{x_1^2+x_2^2+x_3^2}$). Knowing this, we can see how the expression in your question was constructed:




                • Start with the vector $u$ and take its norm $||u||$.


                • $||u||$ is a real number - a scalar - so we can take any other vector $v$ and multiply it by that scalar to get $||u||v$.


                • $||u||v$ is a vector. Therefore, we can take its norm $||(||u||v)||$.


                This is subtly different to the expression $||u||.||v||$ mentioned by Jagol95 in the comment. However, knowing the properties of norms it turns out that the two expressions are actually equal. I wouldn't be surprised if your teacher follows up by getting you to confirm this for the specific example (You should probably attempt this even if they don't).






                share|cite|improve this answer









                $endgroup$
















                  1












                  1








                  1





                  $begingroup$

                  The notation of those double-bars refers to the norm on the vector space (usually the euclidean norm $||x||=sqrt{x_1^2+x_2^2+x_3^2}$). Knowing this, we can see how the expression in your question was constructed:




                  • Start with the vector $u$ and take its norm $||u||$.


                  • $||u||$ is a real number - a scalar - so we can take any other vector $v$ and multiply it by that scalar to get $||u||v$.


                  • $||u||v$ is a vector. Therefore, we can take its norm $||(||u||v)||$.


                  This is subtly different to the expression $||u||.||v||$ mentioned by Jagol95 in the comment. However, knowing the properties of norms it turns out that the two expressions are actually equal. I wouldn't be surprised if your teacher follows up by getting you to confirm this for the specific example (You should probably attempt this even if they don't).






                  share|cite|improve this answer









                  $endgroup$



                  The notation of those double-bars refers to the norm on the vector space (usually the euclidean norm $||x||=sqrt{x_1^2+x_2^2+x_3^2}$). Knowing this, we can see how the expression in your question was constructed:




                  • Start with the vector $u$ and take its norm $||u||$.


                  • $||u||$ is a real number - a scalar - so we can take any other vector $v$ and multiply it by that scalar to get $||u||v$.


                  • $||u||v$ is a vector. Therefore, we can take its norm $||(||u||v)||$.


                  This is subtly different to the expression $||u||.||v||$ mentioned by Jagol95 in the comment. However, knowing the properties of norms it turns out that the two expressions are actually equal. I wouldn't be surprised if your teacher follows up by getting you to confirm this for the specific example (You should probably attempt this even if they don't).







                  share|cite|improve this answer












                  share|cite|improve this answer



                  share|cite|improve this answer










                  answered Jan 25 at 21:25









                  ChessanatorChessanator

                  2,2061412




                  2,2061412























                      1












                      $begingroup$

                      Hint: Probably $lVert mathbf{x}rVert$ signifies the (Euclidean) norm of the vector $mathbf{x}$, so
                      $lVert (x_1,x_2,x_3) rVert = sqrt{x_1^2+x_2^2+x_3^2}$.



                      You probably have a typo and mean $lVert mathbf{u}rVert lVert mathbf{v}rVert$, the product of $lVert mathbf{u}rVert$ and $lVert mathbf{v}rVert$.



                      Or, possibly you mean $BiglVert underbrace{lVert mathbf{u}rVert mathbf{v}}_textrm{scalar times vector} BigrVert$ (as @Chessanator suggests)? Your notation is difficult to understand without using MathJax.






                      share|cite|improve this answer











                      $endgroup$


















                        1












                        $begingroup$

                        Hint: Probably $lVert mathbf{x}rVert$ signifies the (Euclidean) norm of the vector $mathbf{x}$, so
                        $lVert (x_1,x_2,x_3) rVert = sqrt{x_1^2+x_2^2+x_3^2}$.



                        You probably have a typo and mean $lVert mathbf{u}rVert lVert mathbf{v}rVert$, the product of $lVert mathbf{u}rVert$ and $lVert mathbf{v}rVert$.



                        Or, possibly you mean $BiglVert underbrace{lVert mathbf{u}rVert mathbf{v}}_textrm{scalar times vector} BigrVert$ (as @Chessanator suggests)? Your notation is difficult to understand without using MathJax.






                        share|cite|improve this answer











                        $endgroup$
















                          1












                          1








                          1





                          $begingroup$

                          Hint: Probably $lVert mathbf{x}rVert$ signifies the (Euclidean) norm of the vector $mathbf{x}$, so
                          $lVert (x_1,x_2,x_3) rVert = sqrt{x_1^2+x_2^2+x_3^2}$.



                          You probably have a typo and mean $lVert mathbf{u}rVert lVert mathbf{v}rVert$, the product of $lVert mathbf{u}rVert$ and $lVert mathbf{v}rVert$.



                          Or, possibly you mean $BiglVert underbrace{lVert mathbf{u}rVert mathbf{v}}_textrm{scalar times vector} BigrVert$ (as @Chessanator suggests)? Your notation is difficult to understand without using MathJax.






                          share|cite|improve this answer











                          $endgroup$



                          Hint: Probably $lVert mathbf{x}rVert$ signifies the (Euclidean) norm of the vector $mathbf{x}$, so
                          $lVert (x_1,x_2,x_3) rVert = sqrt{x_1^2+x_2^2+x_3^2}$.



                          You probably have a typo and mean $lVert mathbf{u}rVert lVert mathbf{v}rVert$, the product of $lVert mathbf{u}rVert$ and $lVert mathbf{v}rVert$.



                          Or, possibly you mean $BiglVert underbrace{lVert mathbf{u}rVert mathbf{v}}_textrm{scalar times vector} BigrVert$ (as @Chessanator suggests)? Your notation is difficult to understand without using MathJax.







                          share|cite|improve this answer














                          share|cite|improve this answer



                          share|cite|improve this answer








                          edited Jan 25 at 21:28

























                          answered Jan 25 at 21:23









                          MPWMPW

                          30.6k12157




                          30.6k12157






























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