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.
functional-analysis fourier-analysis fourier-series normed-spaces orthogonality
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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.
functional-analysis fourier-analysis fourier-series normed-spaces orthogonality
add a comment |Â
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.
functional-analysis fourier-analysis fourier-series normed-spaces orthogonality
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.
functional-analysis fourier-analysis fourier-series normed-spaces orthogonality
asked Aug 19 at 10:23
The Pointer
2,7422830
2,7422830
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1 Answer
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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.
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.
â 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.
â Sobi
Aug 19 at 11:51
Yeah, I forget that all the time to mention aswell. :D
â 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?
â 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.
â Sobi
Aug 19 at 12:06
add a comment |Â
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.
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.
â 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.
â Sobi
Aug 19 at 11:51
Yeah, I forget that all the time to mention aswell. :D
â 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?
â 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.
â Sobi
Aug 19 at 12:06
add a comment |Â
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.
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.
â 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.
â Sobi
Aug 19 at 11:51
Yeah, I forget that all the time to mention aswell. :D
â 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?
â 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.
â Sobi
Aug 19 at 12:06
add a comment |Â
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.
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.
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.
â 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.
â Sobi
Aug 19 at 11:51
Yeah, I forget that all the time to mention aswell. :D
â 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?
â 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.
â Sobi
Aug 19 at 12:06
add a comment |Â
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.
â 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.
â Sobi
Aug 19 at 11:51
Yeah, I forget that all the time to mention aswell. :D
â 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?
â 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.
â 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.
â 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.
â 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.
â 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.
â Sobi
Aug 19 at 11:51
Yeah, I forget that all the time to mention aswell. :D
â YoungMath
Aug 19 at 11:54
Yeah, I forget that all the time to mention aswell. :D
â 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?
â 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?
â 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.
â 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.
â Sobi
Aug 19 at 12:06
add a comment |Â
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