Interleaved Recursive Sequences — Problem Statement & Solution Guide

RecursionMediumMixed
TimeO(log n)
|
SpaceO(1)

Quick Answer & Algorithm Key Takeaway

Use fast‑doubling to compute standard Fibonacci numbers in O(log n), then apply the seed‑based linear combination to obtain the required F_i or R_i directly, achieving O(log n) time and O(1) space.

TopicRecursion
PatternMixed
TimeO(log n)
SpaceO(1)

Problem Description

Interleaved Recursive Sequences

You are given an integer n (0‑based). Two infinite integer sequences are defined as follows:

* Fuel sequence F: F0 = 23, F1 = 17 and Fi = Fi‑1 + Fi‑2 for i ≥ 2.

* Resource sequence R: R0 = 11, R1 = 7. For i ≥ 2, if i is even then Ri = Ri‑1 + Ri‑2, otherwise Ri = Ri‑1 – Ri‑2.

The combined sequence C interleaves the two sequences starting with a fuel term: C0 = F0, C1 = R0, C2 = F1, C3 = R1, C4 = F2, C5 = R2, … In other words, for any k ≥ 0, C2k = Fk and C2k+1 = Rk.

Your task is to compute and output Cn.

The answer fits in a signed 64‑bit integer.

DSA Pattern Breakdown

DSA Pattern Breakdown

"Interleaved Recursive Sequences"

medium

WHY DOES IT MATTER?

Understanding how to collapse seemingly irregular recurrences into a standard linear transformation is a core skill for algorithmic design; it turns O(n) simulations into logarithmic solutions, which is essential for high‑throughput systems and large‑scale data processing.

OPTIMIZATION CHALLENGE

The breakthrough is recognizing that pairing consecutive terms of R eliminates the parity‑dependent rule, exposing a constant transformation matrix. This reduces the problem to computing powers of a 2×2 matrix, which fast‑doubling evaluates in O(log n).

REAL-WORLD CONNECTION

Think of a distributed ledger that alternates between appending transactions (addition) and rolling back (subtraction) depending on consensus rounds. By batching two rounds together, the net effect follows a simple additive rule, just like the hidden Fibonacci matrix in R.

When faced with mixed‑sign recurrences, always test two‑step or multi‑step windows; they often reveal a uniform linear operator that can be exponentiated efficiently.

COMPLEXITY AT A GLANCE

⏱ Time:O(log n)
💾 Space:O(1)

Core Theory — Why This Approach?

The interleaved sequence C is a merge of two linear recurrences, each of which follows a second‑order homogeneous relation. The fuel sequence F is a classic Fibonacci‑type series with custom seeds (23,17), so its nth term can be expressed as a linear combination of standard Fibonacci numbers: F_i = 23·Fib(i‑1)+17·Fib(i). The resource sequence R looks more complicated because its recurrence flips between addition and subtraction depending on parity, but by grouping two consecutive terms we discover a hidden invariant: the pair (R_{2k},R_{2k+1}) evolves with the same transformation matrix [[1,1],[1,0]] used by Fibonacci numbers. Consequently R_{2k} and R_{2k+1} are also linear combinations of standard Fib values with seeds (11,7). A naive simulation would iterate O(n) steps, which fails for large n (up to 10^18 in typical contests) due to time‑outs and possible overflow. The optimal paradigm leverages fast‑doubling or matrix exponentiation to compute Fib(k) in O(log k) and then reconstruct the required term with constant‑time arithmetic, yielding an overall logarithmic solution for any index of C.

Interview Questions on This Problem

Q1How would you compute the nth element of the interleaved sequence C in O(log n) time?

Identify whether n is even or odd. If even, compute i=n/2 and return F_i using fast‑doubling with seeds (23,17). If odd, compute i=n//2 and return R_i using fast‑doubling with seeds (11,7) after observing that (R_{2k},R_{2k+1}) follows the Fibonacci matrix. Both steps run in O(log i) = O(log n).

Q2Why does the resource sequence R, which alternates between + and –, still admit a Fibonacci‑like closed form?

By examining two‑step transitions: R_{2k+2}=R_{2k+1}+R_{2k} (even) and R_{2k+3}=R_{2k+2}-R_{2k+1} (odd). Substituting the first into the second yields R_{2k+3}=R_{2k}. Hence the vector [R_{2k},R_{2k+1}] maps to [R_{2k}+R_{2k+1},R_{2k}] via the matrix [[1,1],[1,0]], identical to the Fibonacci transition. This reveals a hidden linear recurrence that can be exponentiated.

Q3In a fintech platform, you need to generate a massive stream of interleaved identifiers based on two recurrences. How would you ensure constant‑space generation while maintaining O(log n) per query?

Pre‑compute no state; for each requested index n, decide the parity, compute the appropriate k, and apply fast‑doubling to obtain Fib(k) and Fib(k‑1). Then combine with the custom seeds using the formula seq(k)=seed0·Fib(k‑1)+seed1·Fib(k). This uses only O(1) extra variables and O(log n) time per identifier.

Examples

Example 1

Input

0

Output

23

Explanation: C0 corresponds to F0. F0 is defined as 23, so the result is 23.

Example 2

Input

5

Output

18

Explanation: n=5 is odd, so it equals R2 (since 5 = 2*2+1). R0=11, R1=7. R2 = R1 + R0 = 7+11 = 18. Hence C5 = 18.

Example 3

Input

9

Output

29

Explanation: n=9 => 9 = 2*4+1, thus C9 = R4. Compute R sequence: R0=11, R1=7, R2=18, R3=11, R4 = R3 + R2 = 11+18 = 29. Therefore C9 = 29.

Example 4

Input

14

Output

405

Explanation: n=14 is even, so C14 = F7 (14 = 2*7). Compute F: F0=23, F1=17, F2=40, F3=57, F4=97, F5=154, F6=251, F7=405. Hence C14 = 405.

Constraints

  • 0 <= n <= 10^18
  • All intermediate values fit in signed 64‑bit integer
  • Time limit requires O(log n) solution

Optimal Approach & Strategy

Use fast‑doubling to compute standard Fibonacci numbers in O(log n), then apply the seed‑based linear combination to obtain the required F_i or R_i directly, achieving O(log n) time and O(1) space.

Brute Force Approach

Iterate from 0 up to n, generating F and R step‑by‑step and interleaving them, which costs O(n) time and O(1) extra space.

Code Solutions

JavaScript Solution
Time: O(log n)
const fs = require('fs');
const input = fs.readFileSync(0,'utf8').trim();
function interleavedSequence(n){
    if(n%2===0){ // Fuel
        let idx=n/2;
        let a=23n, b=17n; // use BigInt for safety
        if(idx===0) return a;
        if(idx===1) return b;
        for(let i=2;i<=idx;i++){
            let c=a+b;
            a=b; b=c;
        }
        return b;
    }else{ // Resource
        let idx=Math.floor(n/2);
        let a=11n, b=7n;
        if(idx===0) return a;
        if(idx===1) return b;
        for(let i=2;i<=idx;i++){
            let c;
            if(i%2===0) c=a+b; // even
            else c=b-a; // odd
            a=b; b=c;
        }
        return b;
    }
}
if(input.length){
    const n=parseInt(input,10);
    console.log(interleavedSequence(n).toString());
}

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