Not sure I get the Taylor Series

AI Thread Summary
The Taylor series approximates a function locally around a point and is particularly useful for simplifying complex functions in small regions. While it requires derivatives of the function, it can effectively represent known or unknown functions in a more manageable form. Its utility is highlighted in contexts like analyzing energy landscapes, where it provides insights into systems near equilibrium. Although orthogonal functions can also represent functions over intervals, the choice of series expansion depends on the specific situation. Ultimately, the Taylor series remains a powerful tool in theoretical physics and mathematics for approximating functions.
fisico30
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not sure I get the Taylor Series...

Hello Everyone.

I understand that the taylor series approximate a function locally about a point, within the radius of convergence.
If we use the Taylor series it means that we do not know the function itself.

But to find the taylor series we need the derivatives of the function. and to have the derivatives we need the function itself...

where is the problem?

Also, we could represent a function is a certain interval of interest by using orthogonal functions (legendre, sines cosines, and any other orthogonal set). Why go with the Taylor series?
 
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fisico30 said:
If we use the Taylor series it means that we do not know the function itself.

Not true! The Taylor series is useful in simplifying a known, complex function in a local region.

fisico30 said:
Why go with the Taylor series?

An example: the Taylor series tells us that any function is approximately quadratic around a minimum or maximum. This has tremendous implications when analyzing energy landscapes. Since a spring's energy is also quadratic around its equilibrium point, we can apply a lot of existing mathematics (e.g., simple harmonic motion) to systems near equilibrium.
 


fisico30 said:
But to find the taylor series we need the derivatives of the function. and to have the derivatives we need the function itself...

It's most useful if "x" is "small", and you only need one or two terms to get a good approximation. I have heard (humourously) that all of theoretical physics consists of looking for "small parameters" so they can use Taylor series.

It's also useful if you want to represent a known/unknown function in another form which may cast the problem in a more familiar form.

fisico30 said:
Also, we could represent a function is a certain interval of interest by using orthogonal functions (legendre, sines cosines, and any other orthogonal set). Why go with the Taylor series?

All the various series expansions are potentially useful, and which one to use depends on the situation. For example, in describing sound hitting the ear, some variant of the Fourier series/transform is used most often because it's close to what the ear does.
 
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