What's the Reasoning behind the Maclaurin Series? How did Maclaurin discover it?

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Discussion Overview

The discussion centers on the reasoning behind the Maclaurin series and the historical context of its discovery. Participants explore the mathematical foundations and approximations that led to the formulation of the series, as well as the conceptual understanding of how it represents functions as power series.

Discussion Character

  • Exploratory
  • Technical explanation
  • Conceptual clarification

Main Points Raised

  • One participant notes their understanding of the Maclaurin series as a power series representation of a function, questioning how this concept was initially discovered.
  • Another participant suggests that the development of the series likely involved prior approximations, such as the approximation sin(x) = x, indicating that the discovery was a gradual process rather than instantaneous.
  • A different viewpoint proposes that Maclaurin may have observed that for smooth functions, small changes in input lead to linear approximations, and that considering higher derivatives could yield increasingly accurate representations of the function.
  • One participant contrasts the Maclaurin series with the Lagrange interpolating polynomial, suggesting that the Maclaurin polynomial uniquely captures the function and its derivatives at a single point (x=0), rather than fitting multiple points.

Areas of Agreement / Disagreement

Participants express various hypotheses regarding the reasoning behind the Maclaurin series, with no consensus reached on a singular explanation or historical account of its discovery. Multiple competing views remain on how the series was conceptualized.

Contextual Notes

The discussion reflects a range of assumptions about smooth functions and the nature of approximations, with no definitive resolution on the historical development of the Maclaurin series or the completeness of the proposed reasoning.

Abraham
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I've taken maths through calc 3.

I understand the Maclaurin series represents a function f(x) as a power series: [tex]\sum(c_{n}x^{n})[/tex]

But how the heck did Maclaurin figure out that the series [tex]\sum(c_{n}x^{n})[/tex] could represent f(x)? I mean, that's clearly not obvious from inspection. I want to know how someone made this discovery.
 
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I don't think it came over night. And I'm sure a load of approximations (like sinx=x) already existed. At some point, someone clever is going to come along and try and get a better approximation, or study when/why approximations are possible.
 
I think he noticed that, for a smooth function, for small values of [tex]\delta[/tex], [tex]f(\delta)[/tex] is approximately equal to [tex]f(0) + c\ \delta[/tex] for some constant [tex]c[/tex]. Then if you consider the second derivative, and so on, you would expect to get better and better approximations. And then if you consider infinitely many linear approximations of the function you've uniquely described the original function and so you recover it.
 
Here's one way of looking at it- instead of asking for a polynomial of degree n that will be exactly equal to f(x) at n+1 distinct points (as the Lagrange interpolating polynomial is), as for a polynomial of degree n that will give, exactly, f(0), f'(0), f''(0), ..., [itex]f^(n)(0)[/itex]. That is, the MacLaurin Polynomial, of degree n, gives the value of f(x) and its first n derivatives, exactly, at x= 0.
 

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