Sign in
12thPass logo
New chatPYQ LibraryDoubtsRank report
Sign in to see Recents

Your guest activity stays on this device

Sign in to save progress →
Sign in

Probability question

2010 · Shift 1 · Q45
Guest · filters and generic practice availableBrowsing as a guest · PYQ filters and generic practice are available. Sign in only for personalised features and saved progress.
  1. PYQ Library
  2. /JEE Advanced
  3. /Mathematics
  4. /Probability
  5. /2010 · Shift 1 · Q45

Probability question

2010 · Shift 1 · Q45

JEE AdvancedMathematicsProbabilityMCQ+4 / −1
Let ω\omegaω be a complex cube root of unity with ωe1.\omega e 1.ωe1. A fair die is thrown three times. If r1,r2{r_1},{r_2}r1​,r2​ and r3{r_3}r3​ are the numbers obtained on the die, then the probability that ωr1+ωr2+ωr3=0{\omega ^{{r_1}}} + {\omega ^{{r_2}}} + {\omega ^{{r_3}}} = 0ωr1​+ωr2​+ωr3​=0 is
  1. A
    118{1 \over 18}181​
  2. B
    19{1 \over 9}91​
  3. C
    29{2 \over 9}92​
  4. D
    136{1 \over 36}361​
View written solutionFree

Correct answer: C

1. Understanding the Problem Setup

Let ω\omegaω be a complex cube root of unity other than 1. This means it satisfies the properties ω3=1\omega^3 = 1ω3=1 and the equation x3−1=(x−1)(x2+x+1)=0x^3 - 1 = (x-1)(x^2+x+1) = 0x3−1=(x−1)(x2+x+1)=0. Since ω≠1\omega \ne 1ω=1, it must be a root of x2+x+1=0x^2+x+1=0x2+x+1=0, which implies 1+ω+ω2=01 + \omega + \omega^2 = 01+ω+ω2=0.

A fair die is thrown three times, and the outcomes are r1,r2,r3r_1, r_2, r_3r1​,r2​,r3​. Each of these outcomes can be any integer from the set S={1,2,3,4,5,6}S = \{1, 2, 3, 4, 5, 6\}S={1,2,3,4,5,6}.

The total number of possible outcomes for the three throws is 6×6×6=63=2166 \times 6 \times 6 = 6^3 = 2166×6×6=63=216. Each outcome is equally likely.

We want to find the probability of the event ωr1+ωr2+ωr3=0{\omega ^{{r_1}}} + {\omega ^{{r_2}}} + {\omega ^{{r_3}}} = 0ωr1​+ωr2​+ωr3​=0.

2. Analyzing the Condition for Favorable Outcomes

The condition is ωr1+ωr2+ωr3=0{\omega ^{{r_1}}} + {\omega ^{{r_2}}} + {\omega ^{{r_3}}} = 0ωr1​+ωr2​+ωr3​=0. From the properties of cube roots of unity, we know that 1+ω+ω2=01 + \omega + \omega^2 = 01+ω+ω2=0. This is the only way a sum of three powers of ω\omegaω can be zero. Therefore, the set of values {ωr1,ωr2,ωr3}\{\omega^{r_1}, \omega^{r_2}, \omega^{r_3}\}{ωr1​,ωr2​,ωr3​} must be a permutation of the set {1,ω,ω2}\{1, \omega, \omega^2\}{1,ω,ω2}.

3. Categorizing Die Outcomes

The value of ωr\omega^rωr depends on the remainder of rrr when divided by 3. Let's categorize the possible outcomes of a single die roll, $r

in {1, 2, 3, 4, 5, 6}$, based on this remainder:

  • Category 0 (r≡0(mod3)r \equiv 0 \pmod 3r≡0(mod3)): If rrr is a multiple of 3, then ωr=(ω3)k=1k=1\omega^r = (\omega^3)^k = 1^k = 1ωr=(ω3)k=1k=1. The numbers in SSS are {3,6}\{3, 6\}{3,6}. Let's call this set S0S_0S0​. The number of outcomes in this category is ∣S0∣=2|S_0|=2∣S0​∣=2.

  • Category 1 (r≡1(mod3)r \equiv 1 \pmod 3r≡1(mod3)): If rrr leaves a remainder of 1 when divided by 3, then ωr=ω3k+1=(ω3)kω1=ω\omega^r = \omega^{3k+1} = (\omega^3)^k \omega^1 = \omegaωr=ω3k+1=(ω3)kω1=ω. The numbers in SSS are {1,4}\{1, 4\}{1,4}. Let's call this set S1S_1S1​. The number of outcomes in this category is ∣S1∣=2|S_1|=2∣S1​∣=2.

  • Category 2 (r≡2(mod3)r \equiv 2 \pmod 3r≡2(mod3)): If rrr leaves a remainder of 2 when divided by 3, then ωr=ω3k+2=(ω3)kω2=ω2\omega^r = \omega^{3k+2} = (\omega^3)^k \omega^2 = \omega^2ωr=ω3k+2=(ω3)kω2=ω2. The numbers in SSS are {2,5}\{2, 5\}{2,5}. Let's call this set S2S_2S2​. The number of outcomes in this category is ∣S2∣=2|S_2|=2∣S2​∣=2.

4. Counting the Favorable Outcomes

For the sum to be zero, the three outcomes (r1,r2,r3)(r_1, r_2, r_3)(r1​,r2​,r3​) must be such that one number is from Category 0, one is from Category 1, and one is from Category 2. This ensures that the terms ωr1,ωr2,ωr3\omega^{r_1}, \omega^{r_2}, \omega^{r_3}ωr1​,ωr2​,ωr3​ are 1,ω,ω21, \omega, \omega^21,ω,ω2 in some order.

Let's count the number of ways this can happen:

  • We need to choose one number from S0S_0S0​, one from S1S_1S1​, and one from S2S_2S2​. The number of ways to choose one number from each set is ∣S0∣×∣S1∣×∣S2∣=2×2×2=8|S_0| \times |S_1| \times |S_2| = 2 \times 2 \times 2 = 8∣S0​∣×∣S1​∣×∣S2​∣=2×2×2=8.
  • The chosen numbers must be assigned to the throws r1,r2,r3r_1, r_2, r_3r1​,r2​,r3​. For example, r1r_1r1​ could be from S0S_0S0​, r2r_2r2​ from S1S_1S1​, and r3r_3r3​ from S2S_2S2​. Or r1r_1r1​ from S1S_1S1​, r2r_2r2​ from S0S_0S0​, and r3r_3r3​ from S2S_2S2​, etc. The number of ways to arrange which throw comes from which category is the number of permutations of the three categories, which is 3!=63! = 63!=6.

So, the total number of favorable outcomes is: Nfavorable=(Number of ways to assign categories to r1,r2,r3)×(Number of ways to choose numbers from each category)N_{\text{favorable}} = (\text{Number of ways to assign categories to } r_1, r_2, r_3) \times (\text{Number of ways to choose numbers from each category})Nfavorable​=(Number of ways to assign categories to r1​,r2​,r3​)×(Number of ways to choose numbers from each category) Nfavorable=3!×(∣S0∣×∣S1∣×∣S2∣)=6×(2×2×2)=6×8=48N_{\text{favorable}} = 3! \times (|S_0| \times |S_1| \times |S_2|) = 6 \times (2 \times 2 \times 2) = 6 \times 8 = 48Nfavorable​=3!×(∣S0​∣×∣S1​∣×∣S2​∣)=6×(2×2×2)=6×8=48

5. Calculating the Probability

The probability of the event is the ratio of the number of favorable outcomes to the total number of outcomes.

Total number of outcomes, Ntotal=63=216N_{\text{total}} = 6^3 = 216Ntotal​=63=216. Number of favorable outcomes, Nfavorable=48N_{\text{favorable}} = 48Nfavorable​=48.

The required probability is: P=NfavorableNtotal=48216P = \frac{N_{\text{favorable}}}{N_{\text{total}}} = \frac{48}{216}P=Ntotal​Nfavorable​​=21648​

Simplifying the fraction: P=48÷24216÷24=29P = \frac{48 \div 24}{216 \div 24} = \frac{2}{9}P=216÷2448÷24​=92​

Alternatively, divide by common factors: P=48216=24108=1254=627=29P = \frac{48}{216} = \frac{24}{108} = \frac{12}{54} = \frac{6}{27} = \frac{2}{9}P=21648​=10824​=5412​=276​=92​

Comparing this result with the options, it matches option C.

Final Answer: The probability is 2/92/92/9.

PreviousNext

More from Probability

  • A signal which can be green or red with probability 54​ and 51​ respectively, is received by station A and then transmitted to station B. The probability of each station receving the signal correctly is 43​.…2010 · MCQ
  • A fair die is tossed repeatedly until a six is obtained. Let X denote the number of tosses required.The conditional probability that X≥6 given X>3 equals :2009 · MCQ
  • A fair die is tossed repeatedly until a six is obtained. Let X denote the number of tosses required.The probability that X≥3 equals :2009 · MCQ
  • A fair die is tossed repeatedly until a six is obtained. Let X denote the number of tosses required.The probability that X = 3 equals2009 · MCQ
  • Consider the system of equations ax+by=0;cx+dy=0, where a,b,c,d ∈{0,1} STATEMENT - 1 : The probability that the system of equations has a unique solution is 83​. and STATEMENT - 2 : The probability…2008 · MCQ
  • An experiment has 10 equally likely outcomes. Let A and B be two non-empty events of the experiment. If A consists of 4 outcomes, the number of outcomes that B must have so that A and B are independent is :2008 · MCQ
  • One Indian and four American men and their wives are to be seated randomly around a circular table. Then the conditional probability that the Indian man is seated adjacent to his wife given that each American man is seated adjacent to his…2007 · MCQ
  • Let H 1​, H 2​, ..., H n​ be mutually exclusive and exhaustive events with P(H i​) > 0, i = 1, 2, ..., n. Let E be any other event with 0 Statement 1 : P(H i​ | E) > P(E | H i​). P(H i​) for i=1,2,...,n. Statement 2 :…2007 · MCQ