An Inversion Theorem for Formal Power Series

I ran across a very interesting theorem concerning the inversion of formal power series. Recall that if \{a_n\} is a sequence of numbers, then the associated function A(s) = \sum_{n=0}^\infty a_n s^n is called a formal power series; note that A(s) does not need to converge for any particular value of s (other than 0)— hence the qualifier ‘formal’. Another name for a formal power series is a generating function, because it is associated with, or generates the sequence \{a_n\}.

Let A(s) = a_0 + a_1s^1 + a_2s^2 + \ldots and B(s) = b_0 + b_1s^1 + b_2s^2 + \ldots be two formal power series and suppose B(0)=b_0 = 0. Then
 A(B(t)) = a_0 + a_1b_1 t + (a_1b_2 + a_2b_1^2)t^2 + (a_1b_3 + 2a_2b_1b_2 + a_3b_1^3)t^3 + \ldots.

Here’s the interesting theorem:

Let a function B(t) = b_1t + b_2 t^2 + b_3t^3 + \ldots be such that B(0)=b_0=0 and  b_1 \neq 0 . Then there exist functions
A(s) = a_1 s + a_2 s^2 + a_3 s^3 + \ldots and C(s) = c_1 s + c_2 s^2 + c_3 s^3 + \ldots such that A(B(t)) = t and B(C(t))= t. Each of the functions A and C is a unique function possessing this property.

The function A is said to be the left inverse of B; C is said to be the right inverse. The interesting thing about this theorem is that polynomials are formal power series, so it says that every polynomial has a right and left inverse formal power series. Also, if the polynomial is one like  x + x^3 whose range is \mathcal{R}, the left inverse is a power series that converges on all of \mathcal{R}.

My question is, since A(B(t))=t, isn’t A(B(C(t)))=C(t)=A(t) so A=C?

Possibly relevant posts:

Jan 2nd, 2005 | Posted in Mathematics
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  1. tpc
    Jan 13th, 2005 at 22:47 | #1

    Working out the first few terms
    [tex]A(B(t)) = a_0 + a_1 b_1 t + a_1 b_2 t^2 + a_2 b_1^2 t^2 + O(t^3)[\tex]
    so it doesn’t look associative

  2. Anonymous
    Sep 8th, 2006 at 23:49 | #2

    If B(C(t))=t then A(B(C(t)))=A(t)!!
    and if A(B(t))=t then C(A(B(t)))=C(t)!!

    Where did you see this right-left hand stuff.
    No such thing, in the algebra of Formal Polynomials.
    This is not matrix multiplication.

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