Is it possible to define a basis for the space of continuous functions?

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Discussion Overview

The discussion revolves around the possibility of defining a basis for the space of continuous functions, exploring whether such a basis can allow any continuous function to be expressed as a linear combination of basis functions. Participants examine the implications of using different function spaces, such as Hilbert and Banach spaces, and consider the challenges related to convergence and integration over these function spaces.

Discussion Character

  • Exploratory
  • Technical explanation
  • Conceptual clarification
  • Debate/contested
  • Mathematical reasoning

Main Points Raised

  • Some participants propose that a set of basis functions could span all continuous functions, drawing parallels to vector spaces.
  • Others mention the relevance of Hilbert and Banach spaces in understanding the properties of function spaces.
  • There is a question about whether an infinite set of known functions can indeed span a Hilbert space.
  • One participant challenges the idea that a basis can be defined without leading to divergent series, suggesting that arbitrary coefficients can lead to divergence.
  • Another participant expresses interest in defining integration over a space of functions and discusses the concept of breaking the space into "function intervals" for Riemann sums.
  • Clarifications are sought regarding the definition of "function intervals" and the integration process over a continuous function expressed as a series.
  • Some participants suggest considering properties of square integrable functions in relation to the existence of a basis in Hilbert spaces.
  • A later reply references specific literature on Riemann integration in function spaces, indicating ongoing exploration of the topic.

Areas of Agreement / Disagreement

Participants express differing views on the feasibility of defining a basis for continuous functions, with some supporting the idea while others raise concerns about convergence and the implications of arbitrary coefficients. The discussion remains unresolved, with multiple competing perspectives presented.

Contextual Notes

Limitations include the dependence on definitions of function spaces, the unresolved nature of convergence issues, and the complexity of integrating over function spaces. The discussion also highlights the need for clarity in terminology, such as "function intervals."

Boorglar
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In analogy to vector spaces, can we define a set of "basis functions" from which any continuous function can be written as a (possibly infinite) linear combination of the basis functions?

I know the trigonometric functions 1, sin(nx), cos(nx) can be used for monotonic continuous functions, but not every Fourier series leads to a convergent solution (sinx+sin2x+sin3x+... for example diverges).

Is there a set of functions (not necessarily orthogonal) that spans all continuous functions and does not contain divergent series?
 
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Hey Boorglar.

You want to consider a Hilbert-Space and the properties of those along with Banach Spaces in Functional Analysis.

Basically Hilbert-Spaces are continuous in the inner product and Banach Spaces are continuous in the norm: so you can look at these in the context of general functionals and function spaces.
 
Yes, I've heard about those spaces. But do they actually provide us with such a basis? I mean, is there an infinite set of known functions that span all the Hilbert space?
 
Boorglar said:
does not contain divergent series?

Why would this be true? You are asking for ##\sum_{i=0}^\infty a_n \, f_n(x)## where ##f_n## are fixed but the coefficients are arbitrary. We can choose ##a_n \rightarrow \infty## at any rate we want, so there must exist a divergent series (unless all f are zero).
 
pwsnafu said:
Why would this be true? You are asking for ##\sum_{i=0}^\infty a_n \, f_n(x)## where ##f_n## are fixed but the coefficients are arbitrary. We can choose ##a_n \rightarrow \infty## at any rate we want, so there must exist a divergent series (unless all f are zero).

hmm yes I guess you're right.

The reason I ask for that is that I was looking for a way to define integration over a space of functions i.e.: let F be a functional, taking a function and returning a number. Then I want to "integrate" this functional with respect to the function argument.

For example: let F[f] = ∫10f(x)dx. Then somehow divide the space of functions into small function intervals (which might perhaps be done if you had a basis) and do a Riemann sum of the values of the functional taken at some arbitrary function in each interval.

If the function space was simply c*e^x where c is a real number, then I could do the integral of the value of F[ce^x] with respect to c from -infinity to +infinity. (this would be a one-dimensional function space)
 
Last edited:
Boorglar said:
For example: let F[f] = ∫10f(x)dx. Then somehow divide the space of functions into small function intervals (which might perhaps be done if you had a basis) and do a Riemann sum of the values of the functional taken at some arbitrary function in each interval.

What is a "function interval"? Are we talking about functions defined on an interval of the real number line? Are "function intervals" going to be subintervals of that interval?

If f(x) = \sum_{i=0}^\infty c_i g_i(x) then the natural way to integrate f(x) over an interval such as [0,1] would be to use an expession \sum_{i=0}^\infty c_i \int_0^1 g_i(x) dx rather than to integrate over subintervals. Are you thinking about breaking [0,1] up into subintervals and using a different basis for each subinterval?
 
How are you defining function? Continuous functions won't be defined analytically in general (although some can be).

The first thing I think you should do is consider a general continuous function in a fixed interval and consider that if it is square integrable (i.e. in L^2) if it has any basis in a Hilbert-Space.

If it has a basis, then consider the properties that this basis must have if you want to go deeper.

I'd look at the first one to "check" that a square integrable function (in L^2(R^n)) over some interval has a basis (any basis) and then you can go from there.
 
Boorglar said:
hmm yes I guess you're right.

The reason I ask for that is that I was looking for a way to define integration over a space of functions i.e.: let F be a functional, taking a function and returning a number. Then I want to "integrate" this functional with respect to the function argument.

For example: let F[f] = ∫10f(x)dx. Then somehow divide the space of functions into small function intervals (which might perhaps be done if you had a basis) and do a Riemann sum of the values of the functional taken at some arbitrary function in each interval.

If the function space was simply c*e^x where c is a real number, then I could do the integral of the value of F[ce^x] with respect to c from -infinity to +infinity. (this would be a one-dimensional function space)

Ah you want Riemann integration on a function space. Start with Muldowney's paper on the topic (although this is specific to Black-Scholes). There should be a couple of other papers in the literature. I remember Henstock had a paper for an arbitrary metric-measure space.
 

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