Fourier Sine series uses the orthogonal set $sin(nx)^infty_n = 1$ on $0 le x le pi$

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I came across the following explanation:




The Fourier Sine series uses the orthogonal set $sin(nx)^infty_n = 1$ on $0 le x le pi$.



Here, the norm squared is



$$|| sin(nx) ||^2 = int_0^pi sin^2(nx) dx \ = frac12 int_0^pi (1 - cos(2nx)) dx \ = frac12 left[ x - fracsin(2nx)2n right]^pi_0 \ = fracpi2$$




What does it mean to say that the Fourier Sine series uses the orthogonal set $sin(nx)^infty_n = 1$ on $0 le x le pi$? And how did they get and why is the norm squared $|| sin(nx) ||^2 = int_0^pi sin^2(nx) dx$?



I would appreciate it if people could please take the time to clarify this.







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    up vote
    1
    down vote

    favorite












    I came across the following explanation:




    The Fourier Sine series uses the orthogonal set $sin(nx)^infty_n = 1$ on $0 le x le pi$.



    Here, the norm squared is



    $$|| sin(nx) ||^2 = int_0^pi sin^2(nx) dx \ = frac12 int_0^pi (1 - cos(2nx)) dx \ = frac12 left[ x - fracsin(2nx)2n right]^pi_0 \ = fracpi2$$




    What does it mean to say that the Fourier Sine series uses the orthogonal set $sin(nx)^infty_n = 1$ on $0 le x le pi$? And how did they get and why is the norm squared $|| sin(nx) ||^2 = int_0^pi sin^2(nx) dx$?



    I would appreciate it if people could please take the time to clarify this.







    share|cite|improve this question






















      up vote
      1
      down vote

      favorite









      up vote
      1
      down vote

      favorite











      I came across the following explanation:




      The Fourier Sine series uses the orthogonal set $sin(nx)^infty_n = 1$ on $0 le x le pi$.



      Here, the norm squared is



      $$|| sin(nx) ||^2 = int_0^pi sin^2(nx) dx \ = frac12 int_0^pi (1 - cos(2nx)) dx \ = frac12 left[ x - fracsin(2nx)2n right]^pi_0 \ = fracpi2$$




      What does it mean to say that the Fourier Sine series uses the orthogonal set $sin(nx)^infty_n = 1$ on $0 le x le pi$? And how did they get and why is the norm squared $|| sin(nx) ||^2 = int_0^pi sin^2(nx) dx$?



      I would appreciate it if people could please take the time to clarify this.







      share|cite|improve this question












      I came across the following explanation:




      The Fourier Sine series uses the orthogonal set $sin(nx)^infty_n = 1$ on $0 le x le pi$.



      Here, the norm squared is



      $$|| sin(nx) ||^2 = int_0^pi sin^2(nx) dx \ = frac12 int_0^pi (1 - cos(2nx)) dx \ = frac12 left[ x - fracsin(2nx)2n right]^pi_0 \ = fracpi2$$




      What does it mean to say that the Fourier Sine series uses the orthogonal set $sin(nx)^infty_n = 1$ on $0 le x le pi$? And how did they get and why is the norm squared $|| sin(nx) ||^2 = int_0^pi sin^2(nx) dx$?



      I would appreciate it if people could please take the time to clarify this.









      share|cite|improve this question











      share|cite|improve this question




      share|cite|improve this question










      asked Aug 19 at 10:23









      The Pointer

      2,7422830




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          1 Answer
          1






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          up vote
          2
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          accepted










          The $mathscrL^2$ norm on $[0,pi]$ is
          $$ Vert f Vert_mathscrL^2 = left(int_0^pi |f(x)|^2 ,dxright)^1/2. $$
          It is induced by the $mathscrL^2$ inner product
          $$ langle f,g rangle_mathscrL^2 := int_0^pi f(x)overlineg(x) ,dx. $$
          One usually works in $mathscrL^2$ when dealing with Fourier series because $mathscrL^2$ is a Hilbert space, so it makes sense to speak about orthogonality and similar things.



          The set $sin(nx)_n=1^infty$ is orthogonal because
          $$ langle sin(nx),sin(mx) rangle_mathscrL^2 = int_0^pi sin(nx)sin(mx) = 0 $$
          whenever $n not= m$.



          Now you can see directly from the above that
          $$ Vert sin(nx) Vert_mathscrL^2^2 = int_0^pi sin^2(nx) ,dx = fracpi2. $$
          Note that this shows that the set $leftsqrtfrac2pisin(nx)right_n=1^infty$ is orthonormal.






          share|cite|improve this answer






















          • Be careful. Your stated norm is only a semi-norm. You have to take the quotient of all functions constant zero almost everywhere. In fact, if you do so, $cos(nx),sin(mx)_n geq 0, m>0$ is even a Hilbert basis of $L^2[0,pi]$. That's why the Fourier series works.
            – YoungMath
            Aug 19 at 11:49











          • Of course, I always feel that it is understood that we are talking about the quotient spaces when $mathscrL^p$ spaces are in question.
            – Sobi
            Aug 19 at 11:51











          • Yeah, I forget that all the time to mention aswell. :D
            – YoungMath
            Aug 19 at 11:54











          • Thanks for the response. :) When you say $mathscrL^2$ scalar product, you're referring to the inner product, right?
            – The Pointer
            Aug 19 at 12:03







          • 1




            Yes, I will update that! I always thought that they were synonyms, but I guess that inner product is a more general concept, so it's better to call it the inner product.
            – Sobi
            Aug 19 at 12:06











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          1 Answer
          1






          active

          oldest

          votes








          1 Answer
          1






          active

          oldest

          votes









          active

          oldest

          votes






          active

          oldest

          votes








          up vote
          2
          down vote



          accepted










          The $mathscrL^2$ norm on $[0,pi]$ is
          $$ Vert f Vert_mathscrL^2 = left(int_0^pi |f(x)|^2 ,dxright)^1/2. $$
          It is induced by the $mathscrL^2$ inner product
          $$ langle f,g rangle_mathscrL^2 := int_0^pi f(x)overlineg(x) ,dx. $$
          One usually works in $mathscrL^2$ when dealing with Fourier series because $mathscrL^2$ is a Hilbert space, so it makes sense to speak about orthogonality and similar things.



          The set $sin(nx)_n=1^infty$ is orthogonal because
          $$ langle sin(nx),sin(mx) rangle_mathscrL^2 = int_0^pi sin(nx)sin(mx) = 0 $$
          whenever $n not= m$.



          Now you can see directly from the above that
          $$ Vert sin(nx) Vert_mathscrL^2^2 = int_0^pi sin^2(nx) ,dx = fracpi2. $$
          Note that this shows that the set $leftsqrtfrac2pisin(nx)right_n=1^infty$ is orthonormal.






          share|cite|improve this answer






















          • Be careful. Your stated norm is only a semi-norm. You have to take the quotient of all functions constant zero almost everywhere. In fact, if you do so, $cos(nx),sin(mx)_n geq 0, m>0$ is even a Hilbert basis of $L^2[0,pi]$. That's why the Fourier series works.
            – YoungMath
            Aug 19 at 11:49











          • Of course, I always feel that it is understood that we are talking about the quotient spaces when $mathscrL^p$ spaces are in question.
            – Sobi
            Aug 19 at 11:51











          • Yeah, I forget that all the time to mention aswell. :D
            – YoungMath
            Aug 19 at 11:54











          • Thanks for the response. :) When you say $mathscrL^2$ scalar product, you're referring to the inner product, right?
            – The Pointer
            Aug 19 at 12:03







          • 1




            Yes, I will update that! I always thought that they were synonyms, but I guess that inner product is a more general concept, so it's better to call it the inner product.
            – Sobi
            Aug 19 at 12:06















          up vote
          2
          down vote



          accepted










          The $mathscrL^2$ norm on $[0,pi]$ is
          $$ Vert f Vert_mathscrL^2 = left(int_0^pi |f(x)|^2 ,dxright)^1/2. $$
          It is induced by the $mathscrL^2$ inner product
          $$ langle f,g rangle_mathscrL^2 := int_0^pi f(x)overlineg(x) ,dx. $$
          One usually works in $mathscrL^2$ when dealing with Fourier series because $mathscrL^2$ is a Hilbert space, so it makes sense to speak about orthogonality and similar things.



          The set $sin(nx)_n=1^infty$ is orthogonal because
          $$ langle sin(nx),sin(mx) rangle_mathscrL^2 = int_0^pi sin(nx)sin(mx) = 0 $$
          whenever $n not= m$.



          Now you can see directly from the above that
          $$ Vert sin(nx) Vert_mathscrL^2^2 = int_0^pi sin^2(nx) ,dx = fracpi2. $$
          Note that this shows that the set $leftsqrtfrac2pisin(nx)right_n=1^infty$ is orthonormal.






          share|cite|improve this answer






















          • Be careful. Your stated norm is only a semi-norm. You have to take the quotient of all functions constant zero almost everywhere. In fact, if you do so, $cos(nx),sin(mx)_n geq 0, m>0$ is even a Hilbert basis of $L^2[0,pi]$. That's why the Fourier series works.
            – YoungMath
            Aug 19 at 11:49











          • Of course, I always feel that it is understood that we are talking about the quotient spaces when $mathscrL^p$ spaces are in question.
            – Sobi
            Aug 19 at 11:51











          • Yeah, I forget that all the time to mention aswell. :D
            – YoungMath
            Aug 19 at 11:54











          • Thanks for the response. :) When you say $mathscrL^2$ scalar product, you're referring to the inner product, right?
            – The Pointer
            Aug 19 at 12:03







          • 1




            Yes, I will update that! I always thought that they were synonyms, but I guess that inner product is a more general concept, so it's better to call it the inner product.
            – Sobi
            Aug 19 at 12:06













          up vote
          2
          down vote



          accepted







          up vote
          2
          down vote



          accepted






          The $mathscrL^2$ norm on $[0,pi]$ is
          $$ Vert f Vert_mathscrL^2 = left(int_0^pi |f(x)|^2 ,dxright)^1/2. $$
          It is induced by the $mathscrL^2$ inner product
          $$ langle f,g rangle_mathscrL^2 := int_0^pi f(x)overlineg(x) ,dx. $$
          One usually works in $mathscrL^2$ when dealing with Fourier series because $mathscrL^2$ is a Hilbert space, so it makes sense to speak about orthogonality and similar things.



          The set $sin(nx)_n=1^infty$ is orthogonal because
          $$ langle sin(nx),sin(mx) rangle_mathscrL^2 = int_0^pi sin(nx)sin(mx) = 0 $$
          whenever $n not= m$.



          Now you can see directly from the above that
          $$ Vert sin(nx) Vert_mathscrL^2^2 = int_0^pi sin^2(nx) ,dx = fracpi2. $$
          Note that this shows that the set $leftsqrtfrac2pisin(nx)right_n=1^infty$ is orthonormal.






          share|cite|improve this answer














          The $mathscrL^2$ norm on $[0,pi]$ is
          $$ Vert f Vert_mathscrL^2 = left(int_0^pi |f(x)|^2 ,dxright)^1/2. $$
          It is induced by the $mathscrL^2$ inner product
          $$ langle f,g rangle_mathscrL^2 := int_0^pi f(x)overlineg(x) ,dx. $$
          One usually works in $mathscrL^2$ when dealing with Fourier series because $mathscrL^2$ is a Hilbert space, so it makes sense to speak about orthogonality and similar things.



          The set $sin(nx)_n=1^infty$ is orthogonal because
          $$ langle sin(nx),sin(mx) rangle_mathscrL^2 = int_0^pi sin(nx)sin(mx) = 0 $$
          whenever $n not= m$.



          Now you can see directly from the above that
          $$ Vert sin(nx) Vert_mathscrL^2^2 = int_0^pi sin^2(nx) ,dx = fracpi2. $$
          Note that this shows that the set $leftsqrtfrac2pisin(nx)right_n=1^infty$ is orthonormal.







          share|cite|improve this answer














          share|cite|improve this answer



          share|cite|improve this answer








          edited Aug 19 at 12:06

























          answered Aug 19 at 11:40









          Sobi

          1,488313




          1,488313











          • Be careful. Your stated norm is only a semi-norm. You have to take the quotient of all functions constant zero almost everywhere. In fact, if you do so, $cos(nx),sin(mx)_n geq 0, m>0$ is even a Hilbert basis of $L^2[0,pi]$. That's why the Fourier series works.
            – YoungMath
            Aug 19 at 11:49











          • Of course, I always feel that it is understood that we are talking about the quotient spaces when $mathscrL^p$ spaces are in question.
            – Sobi
            Aug 19 at 11:51











          • Yeah, I forget that all the time to mention aswell. :D
            – YoungMath
            Aug 19 at 11:54











          • Thanks for the response. :) When you say $mathscrL^2$ scalar product, you're referring to the inner product, right?
            – The Pointer
            Aug 19 at 12:03







          • 1




            Yes, I will update that! I always thought that they were synonyms, but I guess that inner product is a more general concept, so it's better to call it the inner product.
            – Sobi
            Aug 19 at 12:06

















          • Be careful. Your stated norm is only a semi-norm. You have to take the quotient of all functions constant zero almost everywhere. In fact, if you do so, $cos(nx),sin(mx)_n geq 0, m>0$ is even a Hilbert basis of $L^2[0,pi]$. That's why the Fourier series works.
            – YoungMath
            Aug 19 at 11:49











          • Of course, I always feel that it is understood that we are talking about the quotient spaces when $mathscrL^p$ spaces are in question.
            – Sobi
            Aug 19 at 11:51











          • Yeah, I forget that all the time to mention aswell. :D
            – YoungMath
            Aug 19 at 11:54











          • Thanks for the response. :) When you say $mathscrL^2$ scalar product, you're referring to the inner product, right?
            – The Pointer
            Aug 19 at 12:03







          • 1




            Yes, I will update that! I always thought that they were synonyms, but I guess that inner product is a more general concept, so it's better to call it the inner product.
            – Sobi
            Aug 19 at 12:06
















          Be careful. Your stated norm is only a semi-norm. You have to take the quotient of all functions constant zero almost everywhere. In fact, if you do so, $cos(nx),sin(mx)_n geq 0, m>0$ is even a Hilbert basis of $L^2[0,pi]$. That's why the Fourier series works.
          – YoungMath
          Aug 19 at 11:49





          Be careful. Your stated norm is only a semi-norm. You have to take the quotient of all functions constant zero almost everywhere. In fact, if you do so, $cos(nx),sin(mx)_n geq 0, m>0$ is even a Hilbert basis of $L^2[0,pi]$. That's why the Fourier series works.
          – YoungMath
          Aug 19 at 11:49













          Of course, I always feel that it is understood that we are talking about the quotient spaces when $mathscrL^p$ spaces are in question.
          – Sobi
          Aug 19 at 11:51





          Of course, I always feel that it is understood that we are talking about the quotient spaces when $mathscrL^p$ spaces are in question.
          – Sobi
          Aug 19 at 11:51













          Yeah, I forget that all the time to mention aswell. :D
          – YoungMath
          Aug 19 at 11:54





          Yeah, I forget that all the time to mention aswell. :D
          – YoungMath
          Aug 19 at 11:54













          Thanks for the response. :) When you say $mathscrL^2$ scalar product, you're referring to the inner product, right?
          – The Pointer
          Aug 19 at 12:03





          Thanks for the response. :) When you say $mathscrL^2$ scalar product, you're referring to the inner product, right?
          – The Pointer
          Aug 19 at 12:03





          1




          1




          Yes, I will update that! I always thought that they were synonyms, but I guess that inner product is a more general concept, so it's better to call it the inner product.
          – Sobi
          Aug 19 at 12:06





          Yes, I will update that! I always thought that they were synonyms, but I guess that inner product is a more general concept, so it's better to call it the inner product.
          – Sobi
          Aug 19 at 12:06













           

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