/*! This file is auto-generated */ .wp-block-button__link{color:#fff;background-color:#32373c;border-radius:9999px;box-shadow:none;text-decoration:none;padding:calc(.667em + 2px) calc(1.333em + 2px);font-size:1.125em}.wp-block-file__button{background:#32373c;color:#fff;text-decoration:none} Problem 81 Show that a three-dimensional \(... [FREE SOLUTION] | 91Ó°ÊÓ

91Ó°ÊÓ

Show that a three-dimensional \(2^{n} \times 2^{n} \times 2^{n}\) checkerboard with one \(1 \times 1 \times 1\) cube missing can be completely covered by \(2 \times 2 \times 2\) cubes with one \(1 \times 1 \times 1\) cube removed.

Short Answer

Expert verified
By induction, a \(2^n \times 2^n \times 2^n\) checkerboard with one missing cube can be covered by \(2 \times 2 \times 2\) cubes with one cube removed.

Step by step solution

01

Understand the Problem

We need to show that a 3D checkerboard of size \(2^n \times 2^n \times 2^n\), with one cube missing, can be completely covered using \(2 \times 2 \times 2\) cubes with one cube removed.
02

Base Case for n=1

Consider the base case where \(n=1\). The 3D checkerboard is of size \(2^1 \times 2^1 \times 2^1 = 2 \times 2 \times 2\). Removing one \(1 \times 1 \times 1\) cube results in 7 cubes remaining, which can be covered by one \(2 \times 2 \times 2\) cube with one cube removed.
03

Inductive Hypothesis

Assume that the statement holds true for \(k=n\), i.e., a \(2^n \times 2^n \times 2^n\) cube with one cube missing can be completely covered with \(2 \times 2 \times 2\) cubes with one cube removed.
04

Inductive Step

Now, consider the \(k=n+1\) case, i.e., a \(2^{n+1} \times 2^{n+1} \times 2^{n+1}\) checkerboard with one cube missing. Divide this larger cube into 8 smaller \(2^n \times 2^n \times 2^n\) cubes. By the inductive hypothesis, each of these smaller cubes (with one missing cube) can be covered with \(2 \times 2 \times 2\) cubes with a single cube missing.
05

Applying the Hypothesis

When only one \(2^n \times 2^n \times 2^n\) block has the missing cube, the hypothesis ensures that each block can be covered by the \(2 \times 2 \times 2\) cubes with one \(1 \times 1 \times 1\) cube removed. Thus, the entire \(2^{n+1} \times 2^{n+1} \times 2^{n+1}\) structure can be covered.
06

Conclusion

Since the base case holds and the inductive step succeeds, by mathematical induction, a \(2^n \times 2^n \times 2^n\) checkerboard with one cube missing can be completely covered by \(2 \times 2 \times 2\) cubes with one cube removed for any \(n \ge 1\).

Unlock Step-by-Step Solutions & Ace Your Exams!

  • Full Textbook Solutions

    Get detailed explanations and key concepts

  • Unlimited Al creation

    Al flashcards, explanations, exams and more...

  • Ads-free access

    To over 500 millions flashcards

  • Money-back guarantee

    We refund you if you fail your exam.

Over 30 million students worldwide already upgrade their learning with 91Ó°ÊÓ!

Key Concepts

These are the key concepts you need to understand to accurately answer the question.

3D Checkerboard
Let's start by imagining a three-dimensional checkerboard. This isn't like a regular 2D game board—it's more like a Rubik's cube.
For this problem, we consider a large cube divided into smaller unit cubes. Specifically, we deal with a cube of size \(2^n \times 2^n \times 2^n\), where \(n\) is a positive integer.
Now, taking out one of these tiny unit cubes results in a slightly imperfect 3D checkerboard. Our ultimate goal is to cover this imperfect 3D checkerboard using only \(2 \times 2 \times 2\) cubes that also have one unit cube missing.
This is a classic example of a problem in higher dimensions, emphasizing spatial thinking and pattern recognition.
Base Case
In any induction proof, we start with what is called the 'base case.' It's the simplest version of the problem.
For \(n=1\), our 3D checkerboard becomes \(2^1 \times 2^1 \times 2^1 = 2 \times 2 \times 2\). This is an 8-unit cube.
Remove one unit cube, and you have 7 remaining. We need to check if these 7 remaining cubes can be covered with one \(2 \times 2 \times 2\) cube that also has one unit cube removed.
It's clear that they can be covered, as there is exactly one \(2 \times 2 \times 2\) cube left with one missing unit. This satisfies our base case.
Inductive Hypothesis
With the base case confirmed, we move to the inductive hypothesis. This step is like saying, 'Assume the rule works for some number \(k\).'
Here, we assume that any \(2^k \times 2^k \times 2^k\) checkerboard with one missing unit cube can be covered by \(2 \times 2 \times 2\) cubes missing one cube each.
This assumption helps us bridge the gap to prove it for the next number, \(k+1\).
Inductive Step
Next is the inductive step, which essentially says, 'If our assumption works for \(k\), it should work for \(k+1\) as well.'
Consider the larger \(2^{k+1} \times 2^{k+1} \times 2^{k+1}\) cube. We can break this larger cube into 8 smaller \(2^k \times 2^k \times 2^k\) cubes.
By our inductive hypothesis, each of these smaller cubes, with one cube missing, can be covered by \(2 \times 2 \times 2\) cubes missing one unit each.
Therefore, the entire larger cube with only one missing unit can be covered.
This completes the inductive step, ensuring that our covering rule works for any \(n\).
In conclusion, thanks to mathematical induction, we confirm that a \(2^n \times 2^n \times 2^n\) checkerboard with one cube missing can indeed be covered by \(2 \times 2 \times 2\) cubes with one cube removed, for any \(n \geq 1\).

One App. One Place for Learning.

All the tools & learning materials you need for study success - in one app.

Get started for free

Most popular questions from this chapter

In Exercises 47 and 48 we consider the problem of placing towers along a straight road, so that every building on the road receives cellular service. Assume that a building receives cellular service if it is within one mile of a tower. Devise a greedy algorithm that uses the minimum number of towers possible to provide cell service to \(d\) buildings located at positions \(x_{1}, x_{2}, \ldots, x_{d}\) from the start of the road. [Hint: At each step, go as far as possible along the road before adding a tower so as not to leave any buildings without coverage.]

Determine whether each of these proposed definitions is a valid recursive definition of a function \(f\) from the set of nonnegative integers to the set of integers. If \(f\) is well defined, find a formula for \(f(n)\) when \(n\) is a nonnegative integer and prove that your formula is valid. a) \(f(0)=0, f(n)=2 f(n-2)\) for \(n \geq 1\) b) \(f(0)=1, f(n)=f(n-1)-1\) for \(n \geq 1\) c) \(f(0)=2, f(1)=3, f(n)=f(n-1)-1\) for \(n \geq 2\) d) \(f(0)=1, f(1)=2, f(n)=2 f(n-2)\) for \(n \geq 2\) e) \(f(0)=1, f(n)=3 f(n-1)\) if \(n\) is odd and \(n \geq 1\) and \(\quad f(n)=9 f(n-2)\) if \(n\) is even and \(n \geq 2\)

In Exercises 29 and \(30, H_{n}\) denotes the \(n\) th harmonic number. Prove that \(H_{2^{n}} \leq 1+n\) whenever \(n\) is a nonnegative integer.

Give a recursive definition of a) the set of odd positive integers. b) the set of positive integer powers of 3 . c) the set of polynomials with integer coefficients.

Exercises \(49-51\) present incorrect proofs using mathematical induction. You will need to identify an error in reasoning in each exercise. What is wrong with this "proof" that all horses are the same color? Let \(P(n)\) be the proposition that all the horses in a set of \(n\) horses are the same color. Basis Step: Clearly, \(P(1)\) is true. Inductive Step: Assume that \(P(k)\) is true, so that all the horses in any set of \(k\) horses are the same color. Consider any \(k+1\) horses; number these as horses \(1,2,3, \ldots, k, k+1 .\) Now the first \(k\) of these horses all must have the same color, and the last \(k\) of these must also have the same color. Because the set of the first \(k\) horses and the set of the last \(k\) horses overlap, all \(k+1\) must be the same color. This shows that \(P(k+1)\) is true and finishes the proof by induction.

See all solutions

Recommended explanations on Math Textbooks

View all explanations

What do you think about this solution?

We value your feedback to improve our textbook solutions.

Study anywhere. Anytime. Across all devices.