The shape of an orthonormal matrix











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Let $U$ be an orthonormal matrix. $U$ has $n$ rows and $n$ columns. We know that the first row is given by the following vector
$$bigg ( frac{1}{sqrt{n}}, ldots frac{1}{sqrt{n}} bigg).$$
Let's consider a column vector $X$.
$$X = (mu, ... mu)^{T}.$$
I am to prove that
$$UX = big( sqrt{n} mu, 0, 0, ldots, 0)^{T} tag{1}.$$
Both $U$ and $X$ are such matrices that their dimension fits and they can be multiplied in the way shown above.

How can I prove $(1)$?










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    Let $U$ be an orthonormal matrix. $U$ has $n$ rows and $n$ columns. We know that the first row is given by the following vector
    $$bigg ( frac{1}{sqrt{n}}, ldots frac{1}{sqrt{n}} bigg).$$
    Let's consider a column vector $X$.
    $$X = (mu, ... mu)^{T}.$$
    I am to prove that
    $$UX = big( sqrt{n} mu, 0, 0, ldots, 0)^{T} tag{1}.$$
    Both $U$ and $X$ are such matrices that their dimension fits and they can be multiplied in the way shown above.

    How can I prove $(1)$?










    share|cite|improve this question
























      up vote
      0
      down vote

      favorite









      up vote
      0
      down vote

      favorite











      Let $U$ be an orthonormal matrix. $U$ has $n$ rows and $n$ columns. We know that the first row is given by the following vector
      $$bigg ( frac{1}{sqrt{n}}, ldots frac{1}{sqrt{n}} bigg).$$
      Let's consider a column vector $X$.
      $$X = (mu, ... mu)^{T}.$$
      I am to prove that
      $$UX = big( sqrt{n} mu, 0, 0, ldots, 0)^{T} tag{1}.$$
      Both $U$ and $X$ are such matrices that their dimension fits and they can be multiplied in the way shown above.

      How can I prove $(1)$?










      share|cite|improve this question













      Let $U$ be an orthonormal matrix. $U$ has $n$ rows and $n$ columns. We know that the first row is given by the following vector
      $$bigg ( frac{1}{sqrt{n}}, ldots frac{1}{sqrt{n}} bigg).$$
      Let's consider a column vector $X$.
      $$X = (mu, ... mu)^{T}.$$
      I am to prove that
      $$UX = big( sqrt{n} mu, 0, 0, ldots, 0)^{T} tag{1}.$$
      Both $U$ and $X$ are such matrices that their dimension fits and they can be multiplied in the way shown above.

      How can I prove $(1)$?







      linear-algebra






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      asked Nov 21 at 11:45









      Hendrra

      1,025416




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          2 Answers
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          It should be clear that the first entry in $UX$ is given by



          $( frac{1}{sqrt{n}}, ldots frac{1}{sqrt{n}} ) cdot(mu, ... mu)^{T}= sqrt{n} mu$.



          Now suppose that the $j -th$ row of $U$ has the form $(a_1,a_2,...,a_n)$. Since $U$ is orthonormal we have



          $0=(a_1,a_2,...,a_n) cdot ( frac{1}{sqrt{n}}, ldots frac{1}{sqrt{n}} )^T =frac{1}{sqrt{n}}(a_1+a_2+...+a_n)$, thus $a_1+a_2+...+a_n=0$.



          The $j -th$ entry in $UX$ is therefore



          $$= mu(a_1+a_2+...+a_n)=0.$$






          share|cite|improve this answer






























            up vote
            3
            down vote













            Let me give an alternative to @Fred's answer, or at least a more geometric version, based on three observations:




            1. The rows $u_1, u_2, ldots u_n$ of $U$ are orthonormal vectors, i.e., each has length $1$, and they are all perpendicular, i.e., $u_i cdot u_j = 0$ if $i ne j$, and $u_i cdot u_j = 1$ if $i = j$.


            2. The product $UX$ consists of the dot product $u_i cdot X$ of each row with the vector $X$.


            3. The vector $X$ is a scalar multiple $c u_1$ of the first row, with the scalar being $c = sqrt{n} mu$.



            So what's the dot product of the first row with $X$? It's just $c u_1 cdot u_1 = c $.



            What about the dot product $u_i cdot X$ for any $i ne 1$? Well, because $X$ is parallel to $u_1$, but $u_1$ is perpendicular to all the other $u_i$, we must have $u_i cdot X = 0$.






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              2 Answers
              2






              active

              oldest

              votes








              2 Answers
              2






              active

              oldest

              votes









              active

              oldest

              votes






              active

              oldest

              votes








              up vote
              3
              down vote



              accepted










              It should be clear that the first entry in $UX$ is given by



              $( frac{1}{sqrt{n}}, ldots frac{1}{sqrt{n}} ) cdot(mu, ... mu)^{T}= sqrt{n} mu$.



              Now suppose that the $j -th$ row of $U$ has the form $(a_1,a_2,...,a_n)$. Since $U$ is orthonormal we have



              $0=(a_1,a_2,...,a_n) cdot ( frac{1}{sqrt{n}}, ldots frac{1}{sqrt{n}} )^T =frac{1}{sqrt{n}}(a_1+a_2+...+a_n)$, thus $a_1+a_2+...+a_n=0$.



              The $j -th$ entry in $UX$ is therefore



              $$= mu(a_1+a_2+...+a_n)=0.$$






              share|cite|improve this answer



























                up vote
                3
                down vote



                accepted










                It should be clear that the first entry in $UX$ is given by



                $( frac{1}{sqrt{n}}, ldots frac{1}{sqrt{n}} ) cdot(mu, ... mu)^{T}= sqrt{n} mu$.



                Now suppose that the $j -th$ row of $U$ has the form $(a_1,a_2,...,a_n)$. Since $U$ is orthonormal we have



                $0=(a_1,a_2,...,a_n) cdot ( frac{1}{sqrt{n}}, ldots frac{1}{sqrt{n}} )^T =frac{1}{sqrt{n}}(a_1+a_2+...+a_n)$, thus $a_1+a_2+...+a_n=0$.



                The $j -th$ entry in $UX$ is therefore



                $$= mu(a_1+a_2+...+a_n)=0.$$






                share|cite|improve this answer

























                  up vote
                  3
                  down vote



                  accepted







                  up vote
                  3
                  down vote



                  accepted






                  It should be clear that the first entry in $UX$ is given by



                  $( frac{1}{sqrt{n}}, ldots frac{1}{sqrt{n}} ) cdot(mu, ... mu)^{T}= sqrt{n} mu$.



                  Now suppose that the $j -th$ row of $U$ has the form $(a_1,a_2,...,a_n)$. Since $U$ is orthonormal we have



                  $0=(a_1,a_2,...,a_n) cdot ( frac{1}{sqrt{n}}, ldots frac{1}{sqrt{n}} )^T =frac{1}{sqrt{n}}(a_1+a_2+...+a_n)$, thus $a_1+a_2+...+a_n=0$.



                  The $j -th$ entry in $UX$ is therefore



                  $$= mu(a_1+a_2+...+a_n)=0.$$






                  share|cite|improve this answer














                  It should be clear that the first entry in $UX$ is given by



                  $( frac{1}{sqrt{n}}, ldots frac{1}{sqrt{n}} ) cdot(mu, ... mu)^{T}= sqrt{n} mu$.



                  Now suppose that the $j -th$ row of $U$ has the form $(a_1,a_2,...,a_n)$. Since $U$ is orthonormal we have



                  $0=(a_1,a_2,...,a_n) cdot ( frac{1}{sqrt{n}}, ldots frac{1}{sqrt{n}} )^T =frac{1}{sqrt{n}}(a_1+a_2+...+a_n)$, thus $a_1+a_2+...+a_n=0$.



                  The $j -th$ entry in $UX$ is therefore



                  $$= mu(a_1+a_2+...+a_n)=0.$$







                  share|cite|improve this answer














                  share|cite|improve this answer



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                  edited Nov 21 at 12:26

























                  answered Nov 21 at 12:00









                  Fred

                  43.3k1644




                  43.3k1644






















                      up vote
                      3
                      down vote













                      Let me give an alternative to @Fred's answer, or at least a more geometric version, based on three observations:




                      1. The rows $u_1, u_2, ldots u_n$ of $U$ are orthonormal vectors, i.e., each has length $1$, and they are all perpendicular, i.e., $u_i cdot u_j = 0$ if $i ne j$, and $u_i cdot u_j = 1$ if $i = j$.


                      2. The product $UX$ consists of the dot product $u_i cdot X$ of each row with the vector $X$.


                      3. The vector $X$ is a scalar multiple $c u_1$ of the first row, with the scalar being $c = sqrt{n} mu$.



                      So what's the dot product of the first row with $X$? It's just $c u_1 cdot u_1 = c $.



                      What about the dot product $u_i cdot X$ for any $i ne 1$? Well, because $X$ is parallel to $u_1$, but $u_1$ is perpendicular to all the other $u_i$, we must have $u_i cdot X = 0$.






                      share|cite|improve this answer

























                        up vote
                        3
                        down vote













                        Let me give an alternative to @Fred's answer, or at least a more geometric version, based on three observations:




                        1. The rows $u_1, u_2, ldots u_n$ of $U$ are orthonormal vectors, i.e., each has length $1$, and they are all perpendicular, i.e., $u_i cdot u_j = 0$ if $i ne j$, and $u_i cdot u_j = 1$ if $i = j$.


                        2. The product $UX$ consists of the dot product $u_i cdot X$ of each row with the vector $X$.


                        3. The vector $X$ is a scalar multiple $c u_1$ of the first row, with the scalar being $c = sqrt{n} mu$.



                        So what's the dot product of the first row with $X$? It's just $c u_1 cdot u_1 = c $.



                        What about the dot product $u_i cdot X$ for any $i ne 1$? Well, because $X$ is parallel to $u_1$, but $u_1$ is perpendicular to all the other $u_i$, we must have $u_i cdot X = 0$.






                        share|cite|improve this answer























                          up vote
                          3
                          down vote










                          up vote
                          3
                          down vote









                          Let me give an alternative to @Fred's answer, or at least a more geometric version, based on three observations:




                          1. The rows $u_1, u_2, ldots u_n$ of $U$ are orthonormal vectors, i.e., each has length $1$, and they are all perpendicular, i.e., $u_i cdot u_j = 0$ if $i ne j$, and $u_i cdot u_j = 1$ if $i = j$.


                          2. The product $UX$ consists of the dot product $u_i cdot X$ of each row with the vector $X$.


                          3. The vector $X$ is a scalar multiple $c u_1$ of the first row, with the scalar being $c = sqrt{n} mu$.



                          So what's the dot product of the first row with $X$? It's just $c u_1 cdot u_1 = c $.



                          What about the dot product $u_i cdot X$ for any $i ne 1$? Well, because $X$ is parallel to $u_1$, but $u_1$ is perpendicular to all the other $u_i$, we must have $u_i cdot X = 0$.






                          share|cite|improve this answer












                          Let me give an alternative to @Fred's answer, or at least a more geometric version, based on three observations:




                          1. The rows $u_1, u_2, ldots u_n$ of $U$ are orthonormal vectors, i.e., each has length $1$, and they are all perpendicular, i.e., $u_i cdot u_j = 0$ if $i ne j$, and $u_i cdot u_j = 1$ if $i = j$.


                          2. The product $UX$ consists of the dot product $u_i cdot X$ of each row with the vector $X$.


                          3. The vector $X$ is a scalar multiple $c u_1$ of the first row, with the scalar being $c = sqrt{n} mu$.



                          So what's the dot product of the first row with $X$? It's just $c u_1 cdot u_1 = c $.



                          What about the dot product $u_i cdot X$ for any $i ne 1$? Well, because $X$ is parallel to $u_1$, but $u_1$ is perpendicular to all the other $u_i$, we must have $u_i cdot X = 0$.







                          share|cite|improve this answer












                          share|cite|improve this answer



                          share|cite|improve this answer










                          answered Nov 21 at 12:32









                          John Hughes

                          61.7k24090




                          61.7k24090






























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