Practical methods for studying monotonicity
Sequences defined by recurrence and associated function
Sequences defined by a recurrence relation
When a sequence is defined by , with given, it is not always possible to calculate directly in terms of . We therefore study the function on an interval 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 is increasing and , we can show by recurrence that for all : the sequence is increasing. We can also show that it is bounded above by 2 (a fixed point of ), 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 and , not just and ).

