Circle Series Reciprocal: Taking the Reciprocal of an Infinite Series

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SUMMARY

The discussion focuses on the mathematical process of taking the reciprocal of an infinite series, specifically the Taylor series expansion of the cosine function and its reciprocal, secant. It establishes that if a function f(x) is analytic and non-zero at a point x0, then its reciprocal 1/f(x) is also analytic. The coefficients of the Taylor series for the reciprocal can be derived through a systematic approach involving the multiplication of series, leading to a matrix representation that confirms the existence of an inverse for the series.

PREREQUISITES
  • Understanding of Taylor series expansions
  • Familiarity with analytic functions
  • Knowledge of matrix theory, particularly lower triangular matrices
  • Basic concepts of power series and their convergence
NEXT STEPS
  • Study the derivation of Taylor series for trigonometric functions
  • Explore the properties of analytic functions and their inverses
  • Learn about the application of matrix theory in series expansions
  • Investigate the relationship between secant and tangent series
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Mathematicians, students studying calculus and analysis, and researchers interested in series expansions and their applications in mathematical functions.

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I understand how this works:

[tex]\cos x = \frac{1}{0!} - \frac{x^2}{2!} + \frac{x^4}{4!} - \frac{x^6}{6!} + \frac{x^8}{8!} - \frac{x^{10}}{10!} + \ldots[/tex]

But what about this?

[tex]\frac{1}{\cos x} = \frac{1}{0!} + \frac{x^2}{2!} + \frac{5x^4}{4!} + \frac{61x^6}{6!} + \frac{1385x^8}{8!} + \frac{50521x^{10}}{10!} + \ldots[/tex]

Is there a way to take the reciprocal of an infinite series or is it necessary to take subsequent derivatives of secant and write the Taylor expansion that way?

Thanks,
Unit
 
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Suppose [itex]f(x)[/itex] is analytic in a domain containing [itex]x_{0}[/itex] and [itex]f(x_{0}) \neq 0[/itex]. Then, [itex]1/f(x)[/itex] is also analytic. Both of these functions have Taylor series expansions around [itex]x_{0}[/itex]:

[tex] f(x) = \sum_{n = 0}^{\infty}{a_{n} \, (x - x_{0})^{n}}, \; a_{0} \neq 0[/tex][tex] \frac{1}{f(x)} = \sum_{n = 0}^{\infty}{b_{n} \, (x - x_{0})^{n}}[/tex]

Multiplying the two series term by term, we get:

[tex] \sum_{n = 0}^{\infty}{\left(\sum_{m = 0}^{n}{a_{n - m} \, b_{m}}\right) \, (x - x_{0})^{n}} = 1[/tex]

from where, we get the following conditions for the coefficients [itex[\{b_{n}\}[/itex]:

[tex] a_{0} \, b_{0} = 1 \; \Rightarrow \; b_{0} = \frac{1}{a_{0}}[/tex]

[tex] \sum_{m = 0}^{n}{a_{n - m} \, b_{m}} = 0, \; n \ge 1 \; \Rightarrow \; \sum_{m = 1}^{n}{a_{n - m} \, b_{m}} = -\frac{a_{n}}{a_{0}}[/tex]

The matrix of this system is:

[tex] A = \left(\begin{array}{ccccc}<br /> a_{0} & 0 & \ldots & 0 & \ldots \\<br /> <br /> a_{1} & a_{0} & \ldots & 0 & \ldots \\<br /> <br /> \ldots & & & & \\<br /> <br /> a_{n - 1} & a_{n - 2} & \ldots & a_{0} & \ldots \\<br /> <br /> \ldots & & & & <br /> \end{array}\right)[/tex]

It is an infinitely dimensional lower triangular matrix. If we restrict it to the first n rows, then the determinant is simply [itex]\det A_{n} = a^{n}_{0} \neq 0[/itex], so the matrix is never singluar and the inverse always exists. However, it is pretty difficult to find an analytical form for it in the general case.
 
Dickfore is correct about the difficulties in finding inverse of infinity series. I have written a paper about finding power series of tan x + sec x. And I think Unit may take a look in it. For the secant series, it just corresponds to the even power of the series, as tan x is odd, and sec x is even.

http://www.voofie.com/content/117/an-explicit-formula-for-the-euler-zigzag-numbers-updown-numbers-from-power-series/"
 
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