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Practical methods for studying monotonicity

Sequences defined by recurrence and associated function

Sequences defined by a recurrence relation

When a sequence is defined by u(n+1)=f(un)u(n+1) = f(u_n), with u0u_0 given, it is not always possible to calculate unu_n directly in terms of nn. We therefore study the function ff on an interval II that contains all the terms of the sequence.

Principle

If f is increasing on I and u_0 belongs to I:

  • if u_1 >= u_0, then by recurrence (u_n) is increasing;
  • if u_1 <= u_0, then (u_n) is decreasing.

On the other hand, if f is decreasing on I, the sequence is generally not monotonic: its terms tend to oscillate (even- and odd-indexed terms change in opposite directions).

Example

Let u_0 = 1 and u(n+1) = sqrt(2 + u_n). The associated function f(x) = √(2 + x) is increasing on [0; +∞[. We calculate u_1 = √(2 + 1) = √3 ≈ 1.73, so u_1 > u_0. Since ff is increasing and u1>u0u_1 > u_0, we can show by recurrence that unu(n+1)u_n \leq u(n+1) for all nn: the sequence is increasing. We can also show that it is bounded above by 2 (a fixed point of ff), so it converges.

Common pitfall

Two steps are essential and are often overlooked: (1) check that the interval I is stable under f (if u_n is in I, then u(n+1) = f(u_n) remains in I), and (2) to formulate the recurrence hypothesis correctly (compare unu_n and u(n+1)u(n+1), not just u0u_0 and u1u_1).