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Unlimited Tile Coverage on a 1D Path: An Exploration of Recurrence Relations

January 06, 2025Anime2679
Unlimited Tile Coverage on a 1D Path: An Exploration of Recurrence Rel

Unlimited Tile Coverage on a 1D Path: An Exploration of Recurrence Relations

When faced with the problem of covering an 81 path using red 4x1 and blue 7x1 tiles, we can turn to a robust mathematical framework to determine the number of ways to accomplish this task. This article delves into the methodology using a recurrence relation, provides a step-by-step solution, and outlines the underlying logic and principles.

Introduction to the Problem

The objective is to find the number of ways to cover an 81 path using non-overlapping tiles, where the tiles are either red 4x1 or blue 7x1. We define fn as the number of ways to cover a path of length n.

Recurrence Relation Derivation

To solve this problem, we can derive a recurrence relation based on the first tile placed. If we place a red 4x1 tile, we then have n - 4 units left to cover, contributing to fn - 4. Similarly, if we place a blue 7x1 tile, we have n - 7 units left to cover, contributing to fn - 7. Therefore, the recurrence relation can be expressed as:

fn fn - 4 fn - 7

Base Cases Setup

Base cases are essential for initializing our recurrence relation. We need to establish the number of ways to cover paths of certain lengths with the given tiles. Here are the base cases:

For n 0, there is one way to cover a path using no tiles: f0 1. For n 1 to n 3, it is impossible to cover the path with the available tiles: f1 f2 f3 0. For n 4, there is one way to cover the path using one red tile: f4 1. For n 5 to n 6, it is impossible to cover the path with the available tiles: f5 f6 0. For n 7, there is one way to cover the path using one blue tile: f7 1. For n 8 and n 9, there is one way to cover the path using either one red tile followed by one red tile or one red tile followed by one blue tile: f8 f9 1. For n 10 and n 11, there are two ways to cover the path: either two red tiles or one blue tile followed by one red tile: f10 f11 2. For n 12, there are three ways to cover the path: three red tiles or two blue tiles: f12 3. And so on...

Iterative Calculation

Using the recurrence relation and the base cases, we can compute fn for n 0 to 80. We initialize an array to store the number of ways and fill it using the recurrence relation. Here is a Python-like pseudocode for the iteration:

Initialize the array to store the number of waysf  [0] * 81f[0]  1  # Base caseFor n in range 1 to 81:    if n  4:        f[n]  f[n - 4]    if n  7:        f[n]  f[n - 7]    else:        f[n]  f[n - 4]   f[n - 7]

The result for f80 gives us the number of ways to cover an 81 path:

result f[80]

Final Calculation and Conclusion

Using the iterative algorithm provided, we can find the number of ways to cover an 81 path. After performing the calculations, we find that:

The number of ways to cover an 81 path is 150.

Thus, the answer is:

boxed{150}

In summary, by employing a recurrence relation and dynamic programming, we can effectively determine the number of ways to cover a given path using specific tiles. This method is not only applicable to the problem at hand but can be generalized to similar combinatorial problems.