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Three molecules of type \(A\), three of type \(B\), three of type \(C\), and three of type \(D\) are to be linked together to form a chain molecule. One such chain molecule is \(A B C D A B C D A B C D\), and another is \(B C D D A A A B D B C C\). a. How many such chain molecules are there? b. Suppose a chain molecule of the type described is randomly selected. What is the probability that all three molecules of each type end up next to one another (such as in BBBAAADDDCCC)?

Short Answer

Expert verified
a. 369600 chain molecules. b. Probability is \( \frac{1}{15400} \).

Step by step solution

01

Determine Total Possible Arrangements

Calculate the total number of ways to arrange 12 molecules where there are 3 of type A, 3 of type B, 3 of type C, and 3 of type D. This is a permutation problem with repeated elements, which can be calculated using the formula for multinomial coefficients: \[ \frac{12!}{3!3!3!3!} \] Calculate each factorial separately and then the overall expression: \[ 12! = 479001600, \quad 3! = 6 \] Therefore, the total number of arrangements is: \[ \frac{479001600}{6 \times 6 \times 6 \times 6} = \frac{479001600}{1296} = 369600 \]
02

Calculate Arrangements with Adjacent Types

Identify the configurations where molecules of the same type are adjacent. These form blocks, e.g., 3 A's, 3 B's, 3 C's, and 3 D's. The problem now becomes arranging these 4 blocks. The number of ways to arrange these 4 blocks is given by: \[ 4! \] Calculate the factorial: \[ 4! = 24 \] Hence, there are 24 ways to arrange the 4 blocks such that each type is together.
03

Calculate Probability of Adjacency

Find the probability that a randomly selected chain has all molecules of a type adjacent. This is the ratio of the favorable outcomes (Step 2) to the total outcomes (Step 1): \[ \frac{24}{369600} \] Simplify the fraction: \[ \frac{24}{369600} = \frac{1}{15400} \] Thus, the probability is \( \frac{1}{15400} \).

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Key Concepts

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

Multinomial Coefficients
Multinomial coefficients help solve problems involving multiple groups of identical items. These coefficients generalize binomial coefficients to account for more than two distinct groups. Consider a set where some items repeat; multinomial coefficients calculate the number of unique ways to arrange them. For example, in the exercise, we have 12 molecules made up of 3 each of types A, B, C, and D. Using the formula for multinomial coefficients, we determine the total arrangements as:\[ \frac{12!}{3! \cdot 3! \cdot 3! \cdot 3!} \]
  • The numerator \(12!\) (12 factorial) represents all possible ways to order 12 distinct items.
  • Each \(3!\) (3 factorial) in the denominator accounts for the repetition of each molecule type.
This calculation reveals the total count of unique molecule chains possible when accounting for repeated types.
Probability Calculation
Probability in mathematics measures how likely an event is to occur, expressed as a fraction, ratio, or percentage. In the context of random events, it helps quantify the chances of specific outcomes.In the molecule exercise, the key is to calculate the probability of a specific arrangement, where all molecules of each type appear together. To do this:
  • Calculate the total number of possible arrangements: computed using multinomial coefficients.
  • Find the number of favorable (desired) arrangements: where molecules of the same type are adjacent.
The probability formula is given by the ratio of desired arrangements over total arrangements:\[ \frac{\text{Desired Arrangements}}{\text{Total Arrangements}} = \frac{24}{369600} = \frac{1}{15400} \]Hence, the probability that a randomly selected chain has all identical molecules adjacent is quite slim, showing the beauty and wonder of probabilistic analysis in understanding how arrangements can vary.
Factorial Calculation
Factorials are fundamental in counting problems since they represent the product of an integer and all the positive integers below it. Notated by an exclamation mark (!), they appear frequently in permutations, combinations, and probability calculations.
  • For example, \(5! = 5 \times 4 \times 3 \times 2 \times 1 = 120\).
  • They are essential in calculating the number of ways to arrange \(n\) distinct objects.
In our molecules problem, we calculate factorials for both the total number of molecules \(12!\) and for the repeating groups \(3!\) to handle distinctions and repetitions:\[ 12! = 479001600 \quad \text{and} \quad 3! = 6 \]Correctly using factorials in calculations helps unravel the complexity of arrangements, ensuring that identical items do not mistakenly inflate the count of unique permutations.

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Most popular questions from this chapter

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