I Why do these functions form complete orthogonal systems in the Hilbert space?

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Hi PF!

A text states that the following two functions
$$
\psi^o_k = \sin(\pi(k-1/2)x)\cosh(\pi(k-1/2)(z+h)): k\in\mathbb{N},\\
\psi^e_k = \cos(\pi kx)\cosh(\pi k(z+h)): k\in\mathbb{N}
$$
each form complete orthogonal systems in two mutually orthogonal subspaces, which compose the Hilbert space.

Can someone explain this to me? Why are these orthogonal systems? Specifically, ##\int_0^1 \psi^e_k \psi^o_k \, dx \neq 0##. And why is it that each by itself does not form a Hilbert space but together they do (is it because they are orthogonal systems, one cannot form a Hilbert space unless at least the other is present too)?
 
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What is ##z##? It seems like the basis functions depend on two variables. In that case I don't understand why you only integrate over ##x##.
 
eys_physics said:
What is ##z##? It seems like the basis functions depend on two variables. In that case I don't understand why you only integrate over ##x##.
Yes, ##z## is a variable with domain ##z\in[-h,0]##. Evaluating the double integral in this domain for ##z## and ##[0,1]## for ##x## still doesn't equal zero. Any ideas?
 
joshmccraney said:
Yes, ##z## is a variable with domain ##z\in[-h,0]##. Evaluating the double integral in this domain for ##z## and ##[0,1]## for ##x## still doesn't equal zero. Any ideas?

It is not an requirement that your basis functions are orthogonal. You need to have a well-defined scalar product. Additionally, your set of basis functions has to complete. I guess that this second point explains why you need both ##\psi^o_k## and ##\psi^e_k## to have a Hilbert space. The functions ##\psi^e_k## are for example even with respect to ##x##. So you cannot expand an odd function in this subspace.
 
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eys_physics said:
It is not an requirement that your basis functions are orthogonal. You need to have a well-defined scalar product. Additionally, your set of basis functions has to complete. I guess that this second point explains why you need both ##\psi^o_k## and ##\psi^e_k## to have a Hilbert space. The functions ##\psi^e_k## are for example even with respect to ##x##. So you cannot expand an odd function in this subspace.
Cool, this is what I was thinking too, regarding the even/odd argument. So chalk it up to Fourier series theory that these two together are complete?

Why are these orthogonal though?
 
I think the issue here is that the range of ##x## is between 0 and 1. That is, not a full period. If your limits would be ##x\in [-1,1]## your basis functions would be orthogonal. This is also what you would have in Fourier series theory, where your range is a full period.
 
eys_physics said:
I think the issue here is that the range of ##x## is between 0 and 1. That is, not a full period. If your limits would be ##x\in [-1,1]## your basis functions would be orthogonal. This is also what you would have in Fourier series theory, where your range is a full period.
In this case the domain of ##z## wouldn't matter, right, since sine times cosine is odd, integrated over a symmetric domain, always gives zero.
 
joshmccraney said:
In this case the domain of ##z## wouldn't matter, right, since sine times cosine is odd, integrated over a symmetric domain, always gives zero.

Yes, you are correct.
 
So to summarize: ##\psi^o## and ##\psi^e## are both orthogonal systems ##\int_{-1}^1 \psi^e\psi^o\,dx = 0## in two mutually orthogonal subspaces (even and odd). Since they are orthogonal, at least both are required to form a Hilbert space (possibly more). Since these two are systems essentially Fourier modes, it is well documented that both are complete and form a Hilbert space without extra systems.

Does that sound right?
 
  • #10
joshmccraney said:
So to summarize: ##\psi^o## and ##\psi^e## are both orthogonal systems ##\int_{-1}^1 \psi^e\psi^o\,dx = 0## in two mutually orthogonal subspaces (even and odd). Since they are orthogonal, at least both are required to form a Hilbert space (possibly more). Since these two are systems essentially Fourier modes, it is well documented that both are complete and form a Hilbert space without extra systems.

Does that sound right?

I agree with you except for one detail. Even if they would not be orthogonal you would need both odd and even basis functions. But, you can always use the Gramm-Schmidt procedure to construct a orthogonal basis. So, this is only a small detail.
 
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  • #11
Thanks!
 
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  • #12
I think the issue re the orthogonality is that a vector space (an inner-prod space, actually) can be expressed as the direct sum of a subspace and the Ortho complement of the subspace. Simplest example, consider the plane with the x-axis as a subspace and the y-axis as its Ortho complement so that ##\mathbb R^2= x(+)y ##. A subspace of a Hilbert space is not always itself a Hilbert space.
 
  • #13
Re your first question, were you given an explicit formula for the inner-product, or a description of the Hilbert space for which you were given these bases?A basis for a Hilbert space is a maximal orthohonal set.
 
  • #14
WWGD said:
Re your first question, were you given an explicit formula for the inner-product, or a description of the Hilbert space for which you were given these bases?A basis for a Hilbert space is a maximal orthohonal set.
I was not. I can say that these basis functions are integrated at ##z=0## over ##x\in[0,1]## to approximate eigenvalues from a differential equation. Does that help?
 
  • #15
Somewhat. I can tell it is countably-infinite dimensional from the basis. Give me some time and I will go over the paper you linked.
 
  • #16
WWGD said:
Somewhat. I can tell it is countably-infinite dimensional from the basis. Give me some time and I will go over the paper you linked.
Thanks!
 
  • #17
@joshmccraney :I was looking for the link you referred to, to look up some details. What happened to it?
 
  • #19
Got it, thanks.
 
  • #20
Yes, hi again, this is just the space ##L_2(a,b)## of square-integrable functions with the inner product you described: ## <f,g>:= \int_a^b fg ##. Remember that Hilbert spaces have the special property that the metric is generated by the inner-product. In Hilbert spaces, bases are maximal orthogonal systems. I am not clear if H is a subspace of a Hilbert space or a Hilbert space itself.
 
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