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An integer is called squarefree if it is not divisible by the square of a positive integer greater than \(1 .\) Find the number of squarefree positive integers less than 100 .

Short Answer

Expert verified
There are 71 square-free positive integers less than 100.

Step by step solution

01

- Identify squares of integers greater than 1

List the squares of positive integers greater than 1 that are less than 100. These squares are 4, 9, 16, 25, 36, 49, 64, and 81.
02

- Count multiples of each square

Count the multiples of each square number that are less than 100. The multiples are:- 4: 4, 8, 12, 16, 20, 24, 28, 32, 36, 40, 44, 48, 52, 56, 60, 64, 68, 72, 76, 80, 84, 88, 92, 96 (25 multiples)- 9: 9, 18, 27, 36, 45, 54, 63, 72, 81, 90, 99 (11 multiples)- 16: 16, 32, 48, 64, 80, 96 (6 multiples)- 25: 25, 50, 75 (3 multiples)- 36: 36, 72 (2 multiples)- 49: 49, 98 (2 multiples)- 64: 64 (1 multiple)- 81: 81 (1 multiple)
03

- Use the inclusion-exclusion principle

Since some numbers are counted multiple times, use the inclusion-exclusion principle to avoid double-counting.- Multiples of 4 and 9: 36, 72 (2 multiples)- Multiples of 4 and 16: 64, 96 (2 multiples)- Adjust for these overlaps.
04

- Calculate and adjust for overlaps

Adjust the counts by subtracting the overlaps to find the unique multiples of squares less than 100. Total overlaps: 4 (there are 132 - 4 = 28 unique multiples).
05

- Find the number of squarefree integers

Subtract the number of unique multiples from 99 (since we are considering numbers from 1 to 99):99 - 28 = 71

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Key Concepts

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

square divisors
A squarefree integer is a number that isn’t divisible by any perfect square greater than 1. To understand this, let's break it down into simple terms. A perfect square is a number that results from squaring an integer, such as 4 (which is 2 squared) or 9 (which is 3 squared). The concept of 'divisors' means you are looking for numbers that can be divided without a remainder. In this case, we are interested in perfect squares as divisors. For example, 12 is not squarefree since it can be divided by 4. However, 10 is squarefree because it cannot be divided by any perfect squares other than 1.
inclusion-exclusion principle
The inclusion-exclusion principle helps us count the number of elements in the union of overlapping sets more accurately. Imagine you have two overlapping sets: Set A and Set B. If you simply add the sizes of Set A and Set B, you count the overlap twice. Therefore, you need to subtract the overlap once to correct the count. In our context, this principle is crucial because the multiples of squares such as 4 and 9 overlap (e.g., 36 and 72). By using the inclusion-exclusion principle, we adjust our count to avoid this double-counting. Subtracting these overlaps ensures we get the exact number of unique multiples of the squares.
counting multiples
Counting multiples is key to determining which numbers are not squarefree. To count multiples of a given perfect square under 100, list all the multiples incrementally. For instance, to find multiples of 4 under 100: 4, 8, 12, 16, and so on, up to 96. Similarly, do this for other perfect squares like 9, 16, 25, etc. By counting these, you identify the numbers that undermine the squarefree status. After counting the multiples of each square and then correctly adjusting for overlaps (using the inclusion-exclusion principle), you subtract this from the total numbers under 100 (i.e., 99) to find the squarefree integers.

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Most popular questions from this chapter

Use generating functions to solve the recurrence relation \(a_{k}=7 a_{k-1}\) with the initial condition \(a_{0}=5\)

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Suppose someone picks a number \(x\) from a set of \(n\) numbers. A second person tries to guess the number by successively selecting subsets of the \(n\) numbers and asking the first person whether \(x\) is in each set. The first person answers either "yes" or "no." When the first person answers each query truthfully, we can find x Links using log n queries by successively splitting the sets used in each query in half. Ulam’s problem, proposed by Stanislaw Ulam in 1976, asks for the number of queries required to find x, supposing that the first person is allowed to lie exactly once. a) Show that by asking each question twice, given a number \(x\) and a set with \(n\) elements, and asking one more question when we find the lie, Ulam's problem can be solved using \(2 \log n+1\) queries. b) Show that by dividing the initial set of \(n\) elements into four parts, each with \(n / 4\) elements, 1\(/ 4\) of the elements can be eliminated using two queries. [Hint: Use two queries, where each of the queries asks whether the element is in the union of two of the subsets with \(n / 4\) elements and where one of the subsets of \(n / 4\) elements is used in both queries.] c) Show from part (b) that if \(f(n)\) equals the number of queries used to solve Ulam's problem using the method from part (b) and \(n\) is divisible by \(4,\) then \(f(n)=f(3 n / 4)+2\) . d) Solve the recurrence relation in part (c) for \(f(n)\) e) Is the naive way to solve Ulam’s problem by asking each question twice or the divide-and-conquer method based on part (b) more efficient? The most efficient way to solve Ulam’s problem has been determined by A. Pelc [Pe87].

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