A coin flip game and generalizations of Fibonacci numbers
Jia Huang

TL;DR
This paper analyzes a coin flip game where the expected number of flips until a specific pattern appears is calculated, revealing new summation identities related to generalized Fibonacci numbers.
Contribution
It introduces a detailed analysis of a coin flip game with specific pattern constraints and derives new summation identities involving generalized Fibonacci numbers.
Findings
Expected number of flips for patterns with up to four maximal runs calculated
Derived new summation identities involving generalized Fibonacci numbers
Extended Fibonacci concepts to analyze pattern occurrence in coin flips
Abstract
We study a game in which one keeps flipping a coin until a given finite string of heads and tails occurs. We find the expected number of coin flips to end the game when the ending string consists of at most four maximal runs of heads or tails or alternates between heads and tails. This leads to some summation identities involving certain generalizations of the Fibonacci numbers.
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