| 1. | Introduction and main theorems |
| 2. | Recursive equations |
| 3. | The method of snake oil |
| 4. | Problems and solutions |
Recursive Equations
We will first solve one basic recurrent equation.
In previous two examples the term of the sequence was depending only on the previous term. We can use generating functions to solve recurrent relations of order greater than \(1\).
Remark: From here we can immediately get the approximate formula for \(F_n\). Since \(|\beta| < 1\) we have \(\lim_{n\to \infty} \beta^n=0\) and \[F_n\approx \frac 1{\sqrt5}\left(\frac{1+\sqrt5}2\right)^n.\]
Now we will consider the case with the sequence of two variables.
Someone might think that this was a cheating. We have used binomial formula, and that is obtained using a combinatorial technique which uses the result we wanted to prove. Fortunately, there is a proof of binomial formula involving Taylor expansion.
We can also make a generating function of the sequence \(C_n(x)\): \[\sum_n C_n(x)y^n=\sum_n\sum_k \binom{n}{k}x^ky^n= \sum_n (1+x)^ny^n=\frac 1{1-y(1+x)}.\] In such a way we have \(\binom{n}{k}=[x^ky^n](1-y(1+x))^{-1}\). Now we can calculate the sum \(\sum_n \binom{n}{k}y^n\): \[ [x^k]\sum_n\sum_k \binom nkx^ky^n= [x^k]\frac 1{1-y(1+x)}= \frac 1{1-y}[x^k]\frac 1{1-\frac y{1-y}x}\] \[ =\frac 1{1-y}\left(\frac y{1-y}\right)^k=\frac {y^k}{(1-y)^{k+1}}. \] Hence we have the identities \[\sum_k \binom{n}{k}x^k=(1+x)^n; \quad\quad \sum_n \binom{n}{k}y^n=\frac {y^k}{(1-y)^{k+1}}.\]
Remark: For \(n < k\) we define \(\binom{n}{k}=0\).
The following example will show that sometimes we can have troubles in finding the explicit formula for the elements of the sequence.
Now we will consider a more complex recurrent equation.