Proving the uniqueness of a vector projection onto orthogonal complement

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So this is a part of a larger question. The question starts as follows.




Let $v in mathbbR^n$ be a nonzero vector, and denote by $v^perp subset mathbbR^n$ the set of vectors $w in mathbbR^n$ such that $v⋅w=0$



a) Show that $v^perp$ is a subspace of $mathbbR^n$



b) Given any vector $a in mathbbR^n$, show that $(a-fraca⋅v^2v) in v^perp$



c) Define the projection of $a$ onto $v^perp$ by the formula $$P_v^perp(a)=(a-fraca⋅v^2v). $$ Show that there is a unique number $t(a)$ such that $(a+t(a)v) in v^perp$. Show that $$a+t(a)v = P_v^perp(a)$$




Parts a and b were relatively straight forward because you just had to apply the definition of subspace and $v^perp$. However, I am confused on part c.



MY ATTEMPT AT PART C



Suppose that $a+t_1(a)v in v^perp$ and $a+t_2(a)v in v^perp$. Then applying the definition of $v^perp$, we have



$$v⋅(a+t_1(a)v) = 0 $$



$$v⋅(a+t_2(a)v) = 0$$ Then $$v⋅(a+t_1(a)v) = v⋅(a+t_2(a)v)$$ $$v⋅a+t_1(a)v⋅v = v⋅a+t_2(a)v⋅v$$ Then, $$t_1(a)||v||^2=t_2(a)||v||^2$$ Thus, $$t_1(a)= t_2(a)$$ So here I have proved uniqueness. However, now I am unsure of how to prove that $$t(a) = -fraca⋅v^2$$ which is essentially what the question is asking me to do. Do I just assume that $t(a)$ is that number? Would I say that since $t(a)$ is unique, I can choose a single number to represent $t(a)$. I am unsure of how to finish this proof.










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    So this is a part of a larger question. The question starts as follows.




    Let $v in mathbbR^n$ be a nonzero vector, and denote by $v^perp subset mathbbR^n$ the set of vectors $w in mathbbR^n$ such that $v⋅w=0$



    a) Show that $v^perp$ is a subspace of $mathbbR^n$



    b) Given any vector $a in mathbbR^n$, show that $(a-fraca⋅v^2v) in v^perp$



    c) Define the projection of $a$ onto $v^perp$ by the formula $$P_v^perp(a)=(a-fraca⋅v^2v). $$ Show that there is a unique number $t(a)$ such that $(a+t(a)v) in v^perp$. Show that $$a+t(a)v = P_v^perp(a)$$




    Parts a and b were relatively straight forward because you just had to apply the definition of subspace and $v^perp$. However, I am confused on part c.



    MY ATTEMPT AT PART C



    Suppose that $a+t_1(a)v in v^perp$ and $a+t_2(a)v in v^perp$. Then applying the definition of $v^perp$, we have



    $$v⋅(a+t_1(a)v) = 0 $$



    $$v⋅(a+t_2(a)v) = 0$$ Then $$v⋅(a+t_1(a)v) = v⋅(a+t_2(a)v)$$ $$v⋅a+t_1(a)v⋅v = v⋅a+t_2(a)v⋅v$$ Then, $$t_1(a)||v||^2=t_2(a)||v||^2$$ Thus, $$t_1(a)= t_2(a)$$ So here I have proved uniqueness. However, now I am unsure of how to prove that $$t(a) = -fraca⋅v^2$$ which is essentially what the question is asking me to do. Do I just assume that $t(a)$ is that number? Would I say that since $t(a)$ is unique, I can choose a single number to represent $t(a)$. I am unsure of how to finish this proof.










    share|cite|improve this question























      up vote
      0
      down vote

      favorite









      up vote
      0
      down vote

      favorite











      So this is a part of a larger question. The question starts as follows.




      Let $v in mathbbR^n$ be a nonzero vector, and denote by $v^perp subset mathbbR^n$ the set of vectors $w in mathbbR^n$ such that $v⋅w=0$



      a) Show that $v^perp$ is a subspace of $mathbbR^n$



      b) Given any vector $a in mathbbR^n$, show that $(a-fraca⋅v^2v) in v^perp$



      c) Define the projection of $a$ onto $v^perp$ by the formula $$P_v^perp(a)=(a-fraca⋅v^2v). $$ Show that there is a unique number $t(a)$ such that $(a+t(a)v) in v^perp$. Show that $$a+t(a)v = P_v^perp(a)$$




      Parts a and b were relatively straight forward because you just had to apply the definition of subspace and $v^perp$. However, I am confused on part c.



      MY ATTEMPT AT PART C



      Suppose that $a+t_1(a)v in v^perp$ and $a+t_2(a)v in v^perp$. Then applying the definition of $v^perp$, we have



      $$v⋅(a+t_1(a)v) = 0 $$



      $$v⋅(a+t_2(a)v) = 0$$ Then $$v⋅(a+t_1(a)v) = v⋅(a+t_2(a)v)$$ $$v⋅a+t_1(a)v⋅v = v⋅a+t_2(a)v⋅v$$ Then, $$t_1(a)||v||^2=t_2(a)||v||^2$$ Thus, $$t_1(a)= t_2(a)$$ So here I have proved uniqueness. However, now I am unsure of how to prove that $$t(a) = -fraca⋅v^2$$ which is essentially what the question is asking me to do. Do I just assume that $t(a)$ is that number? Would I say that since $t(a)$ is unique, I can choose a single number to represent $t(a)$. I am unsure of how to finish this proof.










      share|cite|improve this question













      So this is a part of a larger question. The question starts as follows.




      Let $v in mathbbR^n$ be a nonzero vector, and denote by $v^perp subset mathbbR^n$ the set of vectors $w in mathbbR^n$ such that $v⋅w=0$



      a) Show that $v^perp$ is a subspace of $mathbbR^n$



      b) Given any vector $a in mathbbR^n$, show that $(a-fraca⋅v^2v) in v^perp$



      c) Define the projection of $a$ onto $v^perp$ by the formula $$P_v^perp(a)=(a-fraca⋅v^2v). $$ Show that there is a unique number $t(a)$ such that $(a+t(a)v) in v^perp$. Show that $$a+t(a)v = P_v^perp(a)$$




      Parts a and b were relatively straight forward because you just had to apply the definition of subspace and $v^perp$. However, I am confused on part c.



      MY ATTEMPT AT PART C



      Suppose that $a+t_1(a)v in v^perp$ and $a+t_2(a)v in v^perp$. Then applying the definition of $v^perp$, we have



      $$v⋅(a+t_1(a)v) = 0 $$



      $$v⋅(a+t_2(a)v) = 0$$ Then $$v⋅(a+t_1(a)v) = v⋅(a+t_2(a)v)$$ $$v⋅a+t_1(a)v⋅v = v⋅a+t_2(a)v⋅v$$ Then, $$t_1(a)||v||^2=t_2(a)||v||^2$$ Thus, $$t_1(a)= t_2(a)$$ So here I have proved uniqueness. However, now I am unsure of how to prove that $$t(a) = -fraca⋅v^2$$ which is essentially what the question is asking me to do. Do I just assume that $t(a)$ is that number? Would I say that since $t(a)$ is unique, I can choose a single number to represent $t(a)$. I am unsure of how to finish this proof.







      linear-algebra orthogonality projection






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      asked Sep 10 at 21:06









      user278039

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          If $a+ t_1 v , a+t_2 vin v^bot$ then since $v^bot$ is a subspace we have
          $(t_1-t_2) v in v^bot$. Since $operatornamespv, v^bot$ are orthogonal
          we must have $(t_1-t_2) v =0$ and so $t_1=t_2$.



          To compute $t(a)$ we look for a $t$ such that $a+tv bot v$, or, equivalently
          $langle a+tv, v rangle = 0$. Expanding gives
          $langle a, v rangle + t |v|^2 = 0$ or $t = - ^2 $.






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            1 Answer
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            1 Answer
            1






            active

            oldest

            votes









            active

            oldest

            votes






            active

            oldest

            votes








            up vote
            1
            down vote



            accepted










            If $a+ t_1 v , a+t_2 vin v^bot$ then since $v^bot$ is a subspace we have
            $(t_1-t_2) v in v^bot$. Since $operatornamespv, v^bot$ are orthogonal
            we must have $(t_1-t_2) v =0$ and so $t_1=t_2$.



            To compute $t(a)$ we look for a $t$ such that $a+tv bot v$, or, equivalently
            $langle a+tv, v rangle = 0$. Expanding gives
            $langle a, v rangle + t |v|^2 = 0$ or $t = - ^2 $.






            share|cite|improve this answer
























              up vote
              1
              down vote



              accepted










              If $a+ t_1 v , a+t_2 vin v^bot$ then since $v^bot$ is a subspace we have
              $(t_1-t_2) v in v^bot$. Since $operatornamespv, v^bot$ are orthogonal
              we must have $(t_1-t_2) v =0$ and so $t_1=t_2$.



              To compute $t(a)$ we look for a $t$ such that $a+tv bot v$, or, equivalently
              $langle a+tv, v rangle = 0$. Expanding gives
              $langle a, v rangle + t |v|^2 = 0$ or $t = - ^2 $.






              share|cite|improve this answer






















                up vote
                1
                down vote



                accepted







                up vote
                1
                down vote



                accepted






                If $a+ t_1 v , a+t_2 vin v^bot$ then since $v^bot$ is a subspace we have
                $(t_1-t_2) v in v^bot$. Since $operatornamespv, v^bot$ are orthogonal
                we must have $(t_1-t_2) v =0$ and so $t_1=t_2$.



                To compute $t(a)$ we look for a $t$ such that $a+tv bot v$, or, equivalently
                $langle a+tv, v rangle = 0$. Expanding gives
                $langle a, v rangle + t |v|^2 = 0$ or $t = - ^2 $.






                share|cite|improve this answer












                If $a+ t_1 v , a+t_2 vin v^bot$ then since $v^bot$ is a subspace we have
                $(t_1-t_2) v in v^bot$. Since $operatornamespv, v^bot$ are orthogonal
                we must have $(t_1-t_2) v =0$ and so $t_1=t_2$.



                To compute $t(a)$ we look for a $t$ such that $a+tv bot v$, or, equivalently
                $langle a+tv, v rangle = 0$. Expanding gives
                $langle a, v rangle + t |v|^2 = 0$ or $t = - ^2 $.







                share|cite|improve this answer












                share|cite|improve this answer



                share|cite|improve this answer










                answered Sep 10 at 21:24









                copper.hat

                124k558156




                124k558156



























                     

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