This task involves determining the lexicographical rank of a specific word within a dictionary-ordered set of permutations. It also requires analyzing a probability distribution that follows a geometric progression and subsequently calculating the sum of two parameters derived from the probability expression.
1. Word Rank: The rank of a word in a dictionary is its position when all possible permutations of a given set of letters are sorted alphabetically. This calculation involves counting preceding words by fixing letters from left to right and considering permutations of remaining letters.
2. Geometric Progression (GP): The probabilities \( P(W_n) \) adhere to a GP, where \( P(W_n) = r \cdot P(W_{n-1}) \). The sum of a finite GP is given by the formula:
\[ S_N = \frac{a(r^N - 1)}{r - 1} \]
where \( a \) is the first term, \( r \) is the common ratio, and \( N \) is the number of terms.
3. Total Probability: The sum of probabilities for all possible outcomes (in this case, all 120 unique words) must equal 1.
Step 1: Calculate the total number of possible words.
With five distinct letters (A, B, C, D, E), the total number of unique five-letter words is the number of permutations:
\[ N = 5! = 120 \]
Step 2: Determine the rank of the word CDBEA.
The letters in alphabetical order are A, B, C, D, E. We count words lexicographically preceding CDBEA:
1. Words beginning with A: \( 4! = 24 \) words.
2. Words beginning with B: \( 4! = 24 \) words.
3. Words beginning with C:
- Words starting with CA: \( 3! = 6 \) words.
- Words starting with CB: \( 3! = 6 \) words.
4. Words beginning with CD:
- Words starting with CDA: \( 2! = 2 \) words.
5. Words beginning with CDB:
- Words starting with CDBA: \( 1! = 1 \) word (CDBAE).
The total count of words preceding CDBEA is \( 24 + 24 + 6 + 6 + 2 + 1 = 63 \). Thus, the rank of CDBEA is \( n = 63 + 1 = 64 \).
Step 3: Establish the probability distribution.
Given \( P(W_n) = 2 P(W_{n-1}) \) for \( n>1 \), this is a GP with \( P(W_1) = p_0 \) and \( P(W_n) = p_0 \cdot 2^{n-1} \). The sum of probabilities over all 120 words is 1:
\[ \sum_{n=1}^{120} P(W_n) = 1 \]
\[ \sum_{n=1}^{120} p_0 \cdot 2^{n-1} = 1 \]
Applying the GP sum formula with \( a = p_0 \), \( r = 2 \), and \( N = 120 \):
\[ p_0 \left( \frac{2^{120} - 1}{2 - 1} \right) = 1 \implies p_0 = \frac{1}{2^{120} - 1} \]
Step 4: Compute the probability of the word CDBEA, \( P(W_{64}) \).
\[ P(W_{64}) = p_0 \cdot 2^{64-1} = p_0 \cdot 2^{63} \]
Substituting \( p_0 \):
\[ P(CDBEA) = \frac{1}{2^{120} - 1} \cdot 2^{63} = \frac{2^{63}}{2^{120} - 1} \]
The problem states \( P(CDBEA) = \frac{2^\alpha}{2^\beta - 1} \). By comparing this with our derived probability:
\[ \frac{2^{63}}{2^{120} - 1} = \frac{2^\alpha}{2^\beta - 1} \]
This yields:
\[ \alpha = 63 \quad \text{and} \quad \beta = 120 \]
The required sum is \( \alpha + \beta \).
\[ \alpha + \beta = 63 + 120 = 183 \]
The final value of \( \alpha + \beta \) is 183.
If \(S=\{1,2,....,50\}\), two numbers \(\alpha\) and \(\beta\) are selected at random find the probability that product is divisible by 3 :
The probability of hitting the target by a trained sniper is three times the probability of not hitting the target on a stormy day due to high wind speed. The sniper fired two shots on the target on a stormy day when wind speed was very high. Find the probability that
(i) target is hit.
(ii) at least one shot misses the target. 