The Chain Reaction of Functions
Have you ever watched a row of dominoes fall? One push at the start dictates the entire sequence. In mathematics, recurrence relations are exactly like that.
Today, we are going to explore a problem that feels like a puzzle, where a single starting value, f(1), triggers a chain reaction that determines the entire function. Our goal is to find how many such functions exist within a strictly defined boundary.
Phase 1
The Engine of the Recurrence
We are given the relation f(n)+n1f(n+1)=1. This is our engine. To see how it works, let's isolate the term that pushes us forward, f(n+1).
By rearranging, we get:
This formula is our generator. It tells us that to find the next value, we take the current value, subtract it from one, and multiply by the index n. It is elegant, simple, and incredibly powerful.
Phase 2
The Domino Effect
Now, let's watch the chain reaction unfold. We start with f(1).
For
n=1:
f(2)=1(1−f(1))=1−f(1)
For
n=2:
f(3)=2(1−f(2))=2(1−(1−f(1)))=2f(1)
For
n=3:
f(4)=3(1−f(3))=3(1−2f(1))=3−6f(1)
Look at that! We have successfully expressed every single output—f(1), f(2), f(3), and f(4)—solely in terms of f(1). The entire function is now a slave to the value of f(1).
Phase 3
The Boundary Patrol
But we aren't free to choose any value for f(1). The problem imposes a strict codomain: all outputs must be integers between −8 and 8. This is our 'Boundary Patrol'.
We must ensure that for every n, ∣f(n)∣≤8.
1. For f(1): ∣f(1)∣≤8⇒−8≤f(1)≤8.
2. For f(2): ∣1−f(1)∣≤8⇒−8≤1−f(1)≤8. Solving this, we find −7≤f(1)≤9.
3. For f(3): ∣2f(1)∣≤8⇒−8≤2f(1)≤8. Dividing by 2, we get −4≤f(1)≤4.
4. For f(4): ∣3−6f(1)∣≤8⇒−8≤3−6f(1)≤8. Subtracting 3 gives −11≤−6f(1)≤5.
Dividing by −6 (and flipping the signs!) gives:
Phase 4
The Final Verdict
We have four windows of opportunity for f(1). To satisfy the function, f(1) must fall into the intersection of all these intervals. The most restrictive window is the last one: −65≤f(1)≤611.
Since f(1) must be an integer, the only candidates are 0 and 1. Let's test them:
- If f(1)=0: The outputs are {0,1,0,3}. All are within [−8,8]. Valid!
- If f(1)=1: The outputs are {1,0,2,−3}. All are within [−8,8]. Valid!
We have found exactly two functions. This problem teaches us that even when a system seems complex, finding the right 'base' variable can turn a daunting functional equation into a simple, manageable set of constraints. Keep this strategy in your toolkit—it is a classic JEE winner.