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Question

Four dice are thrown simultaneously and the numbers shown on these dice are recorded in $2\times2$ matrices. The probability that such formed matrices have all different entries and are non-singular, is :

The correct answer is
$\frac{43}{162}$

Dice Matrix Probability: Distinct & Non-Singular

The problem requires finding the probability that a $2 \times 2$ matrix formed by rolling four dice simultaneously contains all distinct entries and is non-singular.

Total Outcomes Calculation

Each of the four dice can land on any number from 1 to 6. Therefore, the total number of possible outcomes when rolling four dice is:

Total Outcomes = $6 \times 6 \times 6 \times 6 = 6^4 = 1296$

Favorable Outcomes: Distinct Entries & Non-Singular Matrix

A favorable outcome requires the $2 \times 2$ matrix, say $\begin{pmatrix} a & b \\ c & d \end{pmatrix}$, to satisfy two conditions:

  1. All entries ($a, b, c, d$) are distinct numbers chosen from $\{1, 2, 3, 4, 5, 6\}$.
  2. The matrix is non-singular, meaning its determinant ($ad - bc$) is not equal to zero ($ad \neq bc$).

Step 1: Count Matrices with Distinct Entries

The number of ways to choose 4 distinct numbers from the 6 possible outcomes and arrange them in the 4 positions of the matrix is calculated using permutations $P(n, k) = \frac{n!}{(n-k)!}$.

Number of matrices with distinct entries = $P(6, 4) = \frac{6!}{(6-4)!} = \frac{6!}{2!} = 6 \times 5 \times 4 \times 3 = 360$

Step 2: Count Singular Matrices with Distinct Entries

We need to identify matrices where $a, b, c, d$ are distinct, and $ad = bc$. This condition implies that the four distinct numbers must be partitionable into two pairs with equal products.

The sets of 4 distinct numbers from $\{1, ..., 6\}$ that satisfy this are:

  • Set {1, 2, 3, 6}: Pairs {1, 6} and {2, 3}. Product = 6.
  • Set {2, 3, 4, 6}: Pairs {2, 6} and {3, 4}. Product = 12.

For each set, we can form singular matrices. Consider the set {1, 2, 3, 6}:

  • Case 1: Assign $\{a, d\}$ from $\{1, 6\}$ (2 ways: (1,6) or (6,1)) and $\{b, c\}$ from $\{2, 3\}$ (2 ways: (2,3) or (3,2)). This gives $2 \times 2 = 4$ matrices.
  • Case 2: Assign $\{a, d\}$ from $\{2, 3\}$ (2 ways) and $\{b, c\}$ from $\{1, 6\}$ (2 ways). This gives $2 \times 2 = 4$ matrices.
  • Total singular matrices for this set = $4 + 4 = 8$.

Similarly, the set {2, 3, 4, 6} also yields 8 singular matrices.

Total singular matrices with distinct entries = $8 + 8 = 16$.

Step 3: Count Non-Singular Matrices with Distinct Entries

Subtract the count of singular matrices with distinct entries from the total count of matrices with distinct entries.

Number of non-singular distinct matrices = $360 - 16 = 344$

Probability Calculation

The probability is the ratio of the number of favorable outcomes (non-singular matrices with distinct entries) to the total possible outcomes.

Probability = $\frac{\text{Number of non-singular distinct matrices}}{\text{Total possible outcomes}}$

Probability = $\frac{344}{1296}$

Simplify the fraction:

$\frac{344 \div 8}{1296 \div 8} = \frac{43}{162}$

Conclusion

The probability that the formed matrices have all different entries and are non-singular is $\frac{43}{162}$.

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Similar Questions

  1. Let $X = \{x \in \mathbb{N} : 1 \leq x \leq 19\}$ and for some $a, b \in \mathbb{R}, Y = \{ax + b : x \in X\}$. If the mean and variance of the elements of $Y$ are 30 and 750, respectively, then the sum of all possible values of $b$ is
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Important Questions from Measures of Dispersion and Probability

  1. Let $X = \{x \in \mathbb{N} : 1 \leq x \leq 19\}$ and for some $a, b \in \mathbb{R}, Y = \{ax + b : x \in X\}$. If the mean and variance of the elements of $Y$ are 30 and 750, respectively, then the sum of all possible values of $b$ is
  2. A random variable $X$ takes values $0, 1, 2, 3$ with probabilities $\frac{2a+1}{30}, \frac{8a-1}{30}, \frac{4a+1}{30}, b$ respectively, where $a, b \in \mathbf{R}$. Let $\mu$ and $\sigma$ respectively be the mean and standard deviation of $X$ such that $\sigma^2 + \mu^2 = 2$. Then $\frac{a}{b}$ is equal to :
  3. If the mean and median of the data

    x0-1010-2020-3030-4040-50 
    f362xy$\Sigma f = 20$

    are equal, then $xy^2$ is equal to

  4. If the mean of the data: 7,8,9,7,8,7,$\lambda$,8 is 8, then the variance of this data is :-

  5. Consider the following frequency distribution :

    Class0 - 66 - 1212 - 1818 - 2424 - 30
    Frequencyab1295

    If mean = $\frac{309}{22}$ and median=$14$, then the value $(a - b)^2$ is equal to ________.

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