There is what I call infinite polynomials, which, when done right, can create any real to real function. These polynomials are made up of various things times 1, x, x squared, etc. Similarly sine and cosine functions can be added together in a Fourier series, and can also approximate any function. Are there other, distinct kinds of functions that can do this, like perhaps exponential functions?
What simple functions can be added together to create any function?
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A general context for your question is that of a Schauder basis for a Banach space. The famous Haar sequence is an example of a type of function you are describing, and is the foundation for the theory of wavelets.
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Maybe you are looking for this:
https://en.wikipedia.org/wiki/Stone%E2%80%93Weierstrass_theorem
In its original form, it states that polynomials can approximate continuous functions (as you might already know). This has been generalized to many families of functions. Basically, you only need your family to be a C*-algebra that separates points (i.e, there are functions that take different values on different points). This not only works on real functions, it also works on a much broader kind of space (compact Haussdorf spaces)
Note: This works on real closed intervals as big as you want, but not on all $\mathbb{R}$
Yes! See https://en.wikipedia.org/wiki/Orthogonal_functions.
What you're looking for is a complete set of orthogonal functions; in other words, a collection of independent functions that, when put together, can approximate any continuous function as accurately as you like.