Chapter 7: Problem 4
Find the number of arrangements of the word engineering. (a) In how many of these are the three \(e\) 's together? (b) In how many of these are exactly two e's together?
Short Answer
Expert verified
(a) 45360 ways. (b) 60480 ways.
Step by step solution
01
Total Arrangements Calculation
First, find the total number of arrangements of the letters in the word "engineering." The word "engineering" has 11 letters with repetitions of letters, specifically 3 e's, 2 n's, 2 g's, and 2 i's. The formula for permutations of a multiset is \[ \frac{n!}{n_1! \times n_2! \times \ldots \times n_k!} \]. Hence, we calculate \[ \frac{11!}{3! \times 2! \times 2! \times 2!} = \frac{39916800}{48} = 831600 \] ways.
02
Three e's Treated as a Single Unit
For part (a), treat the 3 e's as a single "block" or "unit," which reduces the problem to arranging 9 units: \(\{eee, n, g, i, n, e, r, i, n, g\}\). Note that there's still repetition of other letters: 2 n's, 2 g's, 2 i's. The number of arrangements is thus: \[ \frac{9!}{2! \times 2! \times 2!} = \frac{362880}{8} = 45360 \] ways.
03
Exactly Two e's Together: Initial Thoughts
For part (b), select one pair of e's to always be together, treating them as a new "block". This reduces the word to 10 units. To ensure only two e's are together, the third e must be distinct, placed separately. Thus, consider middle calculations.
04
Arrangements for Two e's Together
Calculate arrangements for 10 units: 6 of which (beside selected 2e) from \(n, g, i, n, g, r, i\). Place this unit by calculations \[ \frac{10!}{2! \times 2! \times 2!} = \frac{3628800}{8} = 453600 \], still need separating standalone e.
05
Separate e Positioning
Choose positions for standalone e among 10 positions: Next to existing e-pair ensures three together, place shows this must split neighboring e-arrangement to halves: such seen \( \binom{9}{2} = 36 \) ways, for final.
06
Adjust Final Calculation
Find final arrangements double-essentials wrongly re-counted: correct process separation single e \(\Rightarrow\) exact 2e distinct-out purpose rule deviation. Adjusted combinations result \[ \frac{10 \times 9 \times 8}{3 \times 2 \times 1} = 120 \] minimal extra checking, and analysis of such placements.
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Key Concepts
These are the key concepts you need to understand to accurately answer the question.
Discrete Mathematics
Discrete Mathematics is a branch of mathematics dealing with countable, distinct elements. It encompasses various topics like logic, set theory, and graph theory. Here, we focus specifically on permutations and combinations, which are fundamental aspects of this field.
These mathematical techniques allow us to count arrangements and selections in a precise, structured way. Permutations deal with the arrangement of objects, considering the order as important, and are useful in problems like seating arrangements or letter arrangements as seen in the exercise.
In the exercise with the word "engineering," Discrete Mathematics provides the tools to calculate how the letters can be permuted within the constraints provided, such as having repeated elements like multiple 'e's.
These mathematical techniques allow us to count arrangements and selections in a precise, structured way. Permutations deal with the arrangement of objects, considering the order as important, and are useful in problems like seating arrangements or letter arrangements as seen in the exercise.
In the exercise with the word "engineering," Discrete Mathematics provides the tools to calculate how the letters can be permuted within the constraints provided, such as having repeated elements like multiple 'e's.
- Permutations give distinct arrangements.
- Repetition complicates counting, requiring adjustment factors.
- Multisets involve repeated elements, which influence calculations.
Combinatorial Analysis
Combinatorial Analysis is a profound mathematical study of counting, arrangement, and combination of sets of elements. It offers techniques for solving problems where order and selection are crucial. In permutation scenarios like our exercise, we deal with arranging letters under certain conditions.
The exercise's step-by-step solution showcases combinatorial methods. Initially, we calculate total permutations of the word by integrating the concept of 'repetition'. Combinatorial Analysis helps unpack this by adjusting the basic permutation formula to account for indistinguishable items.
When asked to group letters like the 'e's in "engineering" or separate specific letters, Combinatorial Analysis provides methods to systematically count valid configurations, ensuring nothing is overlooked.
The exercise's step-by-step solution showcases combinatorial methods. Initially, we calculate total permutations of the word by integrating the concept of 'repetition'. Combinatorial Analysis helps unpack this by adjusting the basic permutation formula to account for indistinguishable items.
- Utilizes factorials and division by repetition counts.
- Pivotal in distinguishing unique arrangements within groups.
- Efficiently handles complex arrangement cues.
When asked to group letters like the 'e's in "engineering" or separate specific letters, Combinatorial Analysis provides methods to systematically count valid configurations, ensuring nothing is overlooked.
Multiset Permutations
Multiset Permutations are permutations of a set where elements can repeat. This concept is essential in problems like our exercise, "engineering," which involves several repeating letters. The approach contrasts with basic permutations where all elements are distinct.
For the word "engineering," we use the formula for permutations of a multiset: \[ \frac{n!}{n_1! \times n_2! \times \ldots \times n_k!} \]. Here, the factorial of the total number of letters is divided by the factorial of each distinct group's repetitions.
When we group the three 'e's together, we effectively treat them as a single unit, reducing complexity by transforming a multiset problem into a simpler permutation problem. Splitting the pairs of 'e's involves further breakdown, adding layers to ensure configurations comply with defined criteria.
For the word "engineering," we use the formula for permutations of a multiset: \[ \frac{n!}{n_1! \times n_2! \times \ldots \times n_k!} \]. Here, the factorial of the total number of letters is divided by the factorial of each distinct group's repetitions.
- Essential for words with identical letters.
- Alters permutation outcomes by balancing repetition.
- Ensures correctly counted unique arrangements.
When we group the three 'e's together, we effectively treat them as a single unit, reducing complexity by transforming a multiset problem into a simpler permutation problem. Splitting the pairs of 'e's involves further breakdown, adding layers to ensure configurations comply with defined criteria.