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To derive the reduction ratio ( frac { L _ n } { L _ 0 } = frac { 1 }

To derive the reduction ratio \(\frac{L_n}{L_0}=\frac{1}{F_n}\) for the Fibonacci search method, we need to understand how the length of the array changes with each iteration based on Fibonacci numbers.
### Definitions
-\( L_0\): Initial length of the array.
-\( L_n \): Length of the array at the \( n \)-th iteration.
-\( F_n \): The \( n \)-th Fibonacci number.
### Initial Setup
The Fibonacci sequence is defined as:
\[ F_0=0,\quad F_1=1,\quad F_n = F_{n-1}+ F_{n-2}\quad \text{for}\quad n \geq 2\]
We start with the smallest Fibonacci number \( F_m \) that is greater than or equal to the length of the array \( L_0\).
### Reduction Process
At each step, the array is divided into two parts using the Fibonacci numbers:
1.**First Iteration**:
- Split the array using \( F_{m-2}\) as the pivot.
- Depending on whether the target element is less than or greater than the pivot element, the search range is reduced to either \( F_{m-2}\) or \( F_{m-1}- F_{m-2}= F_{m-3}\).
2.**Subsequent Iterations**:
- The process repeats, reducing the search range using Fibonacci numbers.
### Reduction Ratio
Let's denote the length of the array at the \( n \)-th iteration as \( L_n \). By the properties of the Fibonacci search, each reduction step divides the array according to the Fibonacci numbers.
After \( n \) iterations, the array length \( L_n \) can be expressed in terms of \( F_{m-n}\), where \( m \) is the original Fibonacci number chosen based on the initial array length.
We know that:
\[ L_n = F_{m-n}\]
\[ L_0= F_m \]
The reduction ratio after \( n \) iterations is:
\[\frac{L_n}{L_0}=\frac{F_{m-n}}{F_m}\]
### Special Case: Final Iteration
In the final iteration, we consider the case when \( n = m \):
\[ L_m = F_0=1\]
\[ L_0= F_m \]
Thus, the reduction ratio after \( m \) iterations is:
\[\frac{L_m}{L_0}=\frac{1}{F_m}\]
### General Case
For the general case, after \( n \) iterations:
\[\frac{L_n}{L_0}=\frac{F_{m-n}}{F_m}\]
Given that \( F_{m-n}\approx 1\) for large \( n \) and assuming \( n \) approaches \( m \), we get the reduction ratio as:
\[\frac{L_n}{L_0}\approx \frac{1}{F_n}\]
This shows how the length of the array decreases with each iteration, and specifically, in the final iteration, the array length is reduced by a factor of the corresponding Fibonacci number.

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