# Why is solving non-linear recurrence relations "hopeless"?

I came across a non-linear recurrence relation I want to solve, and most of the places I look for help will say things like "it's hopeless to solve non-linear recurrence relations in general." Is there a rigorous reason or an illustrative example as to why this is the case? It would seem to me that the correct response would be "we just don't know how to solve them," or "there is no solution using elementary functions," but there might be a solution in the form of, say, an infinite product or a power series or something.

Just for completion, the recurrence relation I'm looking at is (slightly more than just non-linear, and this is a simplified version):

$p_n = a_n b_n\\ a_n = a_{n-1} + c \\ b_n = b_{n-1} + d$

And $a_0 > 0, b_0 > 0, c,d$ fixed constants

• Your example is not "hopeless" because $a_n$ and $b_n$ decouple from the rest of the problem, giving $p_n$ explicitly from their solutions. Rather my reaction is that "nonlinear recurrence relations" isn't sufficiently informative to make the generally posed problem tractable (or interesting). Commented May 19, 2012 at 15:56
• why not? $a_n=a_0+n c, b_n=b_0+n d, p_n=(a_0+nc)(b_0+nd)$ Commented May 19, 2012 at 16:02
• This is not a non-linear recurrence relation, both $a_n$ and $b_n$ are linear, and $p_n$ does not introduce recursion in its definition (one could say it is a byproduct of $a_n$ and $b_n$). Commented May 19, 2012 at 16:21
• It appears I simplified it too much. Forget the example. Commented May 19, 2012 at 16:24
• Just as there are families of differential equations amenable to analytic solutions, the same is true of difference equations. Linear equations are the most obvious family, but not the only one. Another would be the equations which could be made linear by some form of well-behaved substitution. Commented May 19, 2012 at 17:43

Although it is possible to solve selected non-linear recurrence relations if you happen to be lucky, in general all sorts of peculiar and difficult-to-characterize things can happen.

One example is found in chaotic systems. These are hypersensitive to initial conditions, meaning that the behavior after many iterations is extremely sensitive to tiny variations in the initial conditions, and thus any formula expressing the relationship will grow impossibly large. These recurrence equations can be amazingly simple, with xn+1 = 4xn(1-xn) with x0 between 0 and 1 as one of the classic simple examples (i.e. merely quadratic; this is the logistic map).

User @Did has already given the Mandelbrot set example--similarly simple to express, and similarly difficult to characterize analytically (e.g. by giving a finite closed-form solution).

Finally, note that to solve every non-linear recurrence relation would imply that one could solve the Halting problem, since one could encode a program as initial states and the workings of the Turing machine as the recurrence relations. So it is certainly hopeless in the most general case. (Which highly restricted cases admit solutions is still an interesting question.)

• +1. The recurrence based on rx(1-x) is called the logistic map.
– Did
Commented May 19, 2012 at 20:42
• @Didier - Indeed. I should have mentioned that. (No need to now that you have added the information in a comment, however!) Commented May 19, 2012 at 20:45

A rather well-known example is the Mandelbrot set. Consider a sequence $(a_n)$ defined by $a_0=0$ and $a_{n+1}=a_n^2+c$, for some given parameter $c$, and ask the seemingly innocuous question:

For which values of $c$ is the sequence $(a_n)$ bounded?

One may note that the recursion is simply quadratic rather than affine (the degree of $a_n$ in the formula for $a_{n+1}$ is 2 instead of 1). The answer, or rather, some elements of the answer, have opened an entire mathematical field.

• This answers the first paragraph of the question. As noted in the comments, the example given in the end of the question is trivial.
– Did
Commented May 19, 2012 at 16:10
• Great answer! I don't often think of solving the Mandelbrot recurrence, but I suppose I should :) Commented May 21, 2012 at 18:59

But polynomial recurrence can be mapped to linear recurrences. For example for $a_{n+1} = a_n^2 + c$ let $b_{m,n} =a_n^m$. Then by the binomial formula:

$$b_{m,n} = (a_{n-1}^2+c)^m = \sum_{j = 0}^mc^{m-j}{m \choose j}a_{n-1}^{2j} = \sum_{j = 0}^mc^{m-j}{m\choose j}b_{2j,n-1}$$

and even though it's a two variable linear recurrence you can use a lot of the same types of strategies to solve it as if it was one variable (indeed for any number of variables you can use the same approaches as if it were one variable). So what's the big deal?

• "So what's the big deal?" Maybe that solving $(a_n)$ requires solving $(b_{m,n})$ for $m=1$ which requires solving $(b_{m,n})$ for $m=2$ which requires solving $(b_{m,n})$ for $m=4$ which requires solving $(b_{m,n})$ for $m=6$, and so on. Thus, I suggest to substantiate the (at present, unfounded) assertion that "you can use a lot of the same types of strategies to solve it".
– Did
Commented Feb 2, 2015 at 2:18