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tgt
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What is the basis for the vector space of all continuous functions?
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dx said:Vector spaces don't have unique bases.
HallsofIvy said:Further, I'm inclined to suspect, although I can't prove it, that any basis would be uncountable. That is (probably) why it is more common to use a Hamel basis rather than the usual basis of Linear Algebra.
Isn't the Hamel basis just the same thing as the 'usual basis'? Anyway, from http://en.wikipedia.org/wiki/Hamel_basis#Related_notions"HallsofIvy said:Further, I'm inclined to suspect, although I can't prove it, that any basis would be uncountable. That is (probably) why it is more common to use a Hamel basis rather than the usual basis of Linear Algebra.
The preference of other types of bases for infinite dimensional spaces is justified by the fact that the Hamel basis becomes "too big" in Banach spaces: If X is an infinite dimensional normed vector space which is complete (i.e. X is a Banach space), then any Hamel basis of X is necessarily uncountable. This is an easy consequence of Baire category theorem.
Assuming that you do mean a Hamel basis, then I expect that its existence relies on the axiom of choice, and that no-one could give you a specific example.tgt said:So you don't know what a basis could be?
g_edgar said:The family [tex]\sin(nx), \cos(nx)[/tex] is not a Schauder basis for [tex]C[0,1][/tex], however. The Fourier series of a continuous function need not converge uniformly.
I thought I had looked at that site! But you are right. I have the "Hamel" basis and "Schauder" basis reversed.gel said:Isn't the Hamel basis just the same thing as the 'usual basis'? Anyway, from http://en.wikipedia.org/wiki/Hamel_basis#Related_notions"
Assuming that you do mean a Hamel basis, then I expect that its existence relies on the axiom of choice, and that no-one could give you a specific example.
gel said:Right. It will converge uniformly to the continuous function f if and only if f(0) = f(1).
g_edgar said:No. Not even if f(0)=f(1).
gel said:"' The family LaTeX Code: \\sin(nx), \\cos(nx) is not a Schauder basis for LaTeX Code: C[0,1] , however. The Fourier series of a continuous function need not converge uniformly.'
Right. It will converge uniformly to the continuous function f if and only if f(0) = f(1)."Right. It will converge uniformly to the continuous function f if and only if f(0) = f(1).
As any function can be split into a linear term and term taking the same values at 0 and 1, we can extend sin(nx), cos(nx) to a Schauder basis by adding the linear basis function u(x)=x.
Alternatively, hierarchical basis functions can be used.
gel said:Aargh, you're right. Converges uniformly if also of finite variation. Merely continuous funtions aren't even guaranteed to converge everywhere - just almost everwhere.
Still, hierarchical basis functions such as hat functions can be used for a basis.
tgt said:What is the basis for the vector space of all continuous functions?
John Creighto said:How about the set of all delta functions?
gel said:Delta functions aren't continuous, nor are they functions.
The basis for the set of all continuous functions is the set of all polynomial functions. This means that any continuous function can be approximated by a polynomial function.
The set of all continuous functions is important because it is a fundamental concept in calculus and analysis. It allows us to understand and manipulate functions that are continuous over a given interval, which is crucial in many real-world applications.
No, not all functions can be represented as a combination of continuous functions. For example, functions with discontinuities or jumps cannot be represented in this way. However, many functions that are commonly used in mathematics and science can be represented as a combination of continuous functions.
Continuous functions have the properties of being defined at every point in their domain, having a limit at every point in their domain, and being able to be graphed without any breaks or gaps. They also follow the intermediate value theorem, which states that if a function is continuous on a closed interval, it takes on every value between its maximum and minimum values.
The set of all continuous functions can be extended to other spaces by defining a topology on the space. A topology is a collection of open sets that satisfy certain axioms, and it allows us to define what it means for a function to be continuous on that space.