JEE Challenger
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Ratio of Occurrences of Independent Events E1 and E3

For three independent events E1,E2E_1, E_2, and E3E_3, let the probability of occurrence of only E1E_1 be α\alpha, only E2E_2 be β\beta, and only E3E_3 be γ\gamma. Suppose pp represents the probability that none of E1,E2E_1, E_2, or E3E_3 occurs, satisfying the relations (α−2β)p=αβ(\alpha - 2\beta) p = \alpha\beta and (β−3γ)p=2βγ(\beta - 3\gamma) p = 2\beta\gamma. Assuming all given probabilities lie within the interval (0,1)(0, 1), calculate the value of:

Probability of occurrence of E1Probability of occurrence of E3\frac{\text{Probability of occurrence of } E_1}{\text{Probability of occurrence of } E_3}

Official Numerical Answer6

Step-by-Step Solution

Let the probabilities of occurrence of the independent events E1,E2,E_1, E_2, and E3E_3 be denoted by: P(E1)=x,P(E2)=y,P(E3)=zP(E_1) = x, \quad P(E_2) = y, \quad P(E_3) = z

Since E1,E2,E_1, E_2, and E3E_3 are independent events, their complements E1c,E2c,E_1^c, E_2^c, and E3cE_3^c are also independent.

The probability pp that none of the events E1,E2,E_1, E_2, or E3E_3 occur is: p=P(E1c∩E2c∩E3c)=(1−x)(1−y)(1−z)p = P(E_1^c \cap E_2^c \cap E_3^c) = (1 - x)(1 - y)(1 - z)

The probabilities that only E1E_1, only E2E_2, and only E3E_3 occur are given by: α=P(E1∩E2c∩E3c)=x(1−y)(1−z)\alpha = P(E_1 \cap E_2^c \cap E_3^c) = x(1 - y)(1 - z) β=P(E1c∩E2∩E3c)=(1−x)y(1−z)\beta = P(E_1^c \cap E_2 \cap E_3^c) = (1 - x)y(1 - z) γ=P(E1c∩E2c∩E3)=(1−x)(1−y)z\gamma = P(E_1^c \cap E_2^c \cap E_3) = (1 - x)(1 - y)z

Expressing α,β,\alpha, \beta, and γ\gamma in terms of pp: α=x1−x⋅p  ⟹  αp=x1−x\alpha = \frac{x}{1 - x} \cdot p \implies \frac{\alpha}{p} = \frac{x}{1 - x} β=y1−y⋅p  ⟹  βp=y1−y\beta = \frac{y}{1 - y} \cdot p \implies \frac{\beta}{p} = \frac{y}{1 - y} γ=z1−z⋅p  ⟹  γp=z1−z\gamma = \frac{z}{1 - z} \cdot p \implies \frac{\gamma}{p} = \frac{z}{1 - z}

Now, consider the first given relation: (α−2β)p=αβ(\alpha - 2\beta)p = \alpha\beta

Dividing both sides by p2p^2: αp−2βp=αp⋅βp\frac{\alpha}{p} - 2\frac{\beta}{p} = \frac{\alpha}{p} \cdot \frac{\beta}{p}

Substituting αp=x1−x\frac{\alpha}{p} = \frac{x}{1 - x} and βp=y1−y\frac{\beta}{p} = \frac{y}{1 - y}: x1−x−2(y1−y)=(x1−x)(y1−y)\frac{x}{1 - x} - 2\left(\frac{y}{1 - y}\right) = \left(\frac{x}{1 - x}\right)\left(\frac{y}{1 - y}\right)

Multiplying through by (1−x)(1−y)(1 - x)(1 - y): x(1−y)−2y(1−x)=xyx(1 - y) - 2y(1 - x) = xy x−xy−2y+2xy=xyx - xy - 2y + 2xy = xy x−2y+xy=xy  ⟹  x=2yx - 2y + xy = xy \implies x = 2y

Next, consider the second given relation: (β−3γ)p=2βγ(\beta - 3\gamma)p = 2\beta\gamma

Dividing both sides by p2p^2: βp−3γp=2(βp)(γp)\frac{\beta}{p} - 3\frac{\gamma}{p} = 2 \left(\frac{\beta}{p}\right) \left(\frac{\gamma}{p}\right)

Substituting βp=y1−y\frac{\beta}{p} = \frac{y}{1 - y} and γp=z1−z\frac{\gamma}{p} = \frac{z}{1 - z}: y1−y−3(z1−z)=2(y1−y)(z1−z)\frac{y}{1 - y} - 3\left(\frac{z}{1 - z}\right) = 2 \left(\frac{y}{1 - y}\right)\left(\frac{z}{1 - z}\right)

Multiplying through by (1−y)(1−z)(1 - y)(1 - z): y(1−z)−3z(1−y)=2yzy(1 - z) - 3z(1 - y) = 2yz y−yz−3z+3yz=2yzy - yz - 3z + 3yz = 2yz y−3z+2yz=2yz  ⟹  y=3zy - 3z + 2yz = 2yz \implies y = 3z

Combining the relations for x,y,x, y, and zz: x=2y=2(3z)=6zx = 2y = 2(3z) = 6z

We need to calculate: Probability of occurrence of E1Probability of occurrence of E3=P(E1)P(E3)=xz\frac{\text{Probability of occurrence of } E_1}{\text{Probability of occurrence of } E_3} = \frac{P(E_1)}{P(E_3)} = \frac{x}{z}

Since x=6zx = 6z, we get: xz=6\frac{x}{z} = 6