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To derive the reduction ratio ( frac { L _ n } { L _ 0 } = frac { 1 }
To derive the reduction ratio fracLnLfracFn 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: Initial length of the array.
Ln : Length of the array at the n th iteration.
Fn : The n th Fibonacci number.
### Initial Setup
The Fibonacci sequence is defined as:
Fquad Fquad Fn Fn Fnquad textforquad n geq
We start with the smallest Fibonacci number Fm that is greater than or equal to the length of the array L
### Reduction Process
At each step, the array is divided into two parts using the Fibonacci numbers:
First Iteration:
Split the array using Fm 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 Fm or Fm Fm Fm
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 Ln By the properties of the Fibonacci search, each reduction step divides the array according to the Fibonacci numbers.
After n iterations, the array length Ln can be expressed in terms of Fmn where m is the original Fibonacci number chosen based on the initial array length.
We know that:
Ln Fmn
L Fm
The reduction ratio after n iterations is:
fracLnLfracFmnFm
### Special Case: Final Iteration
In the final iteration, we consider the case when n m :
Lm F
L Fm
Thus, the reduction ratio after m iterations is:
fracLmLfracFm
### General Case
For the general case, after n iterations:
fracLnLfracFmnFm
Given that Fmnapprox for large n and assuming n approaches m we get the reduction ratio as:
fracLnLapprox fracFn
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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