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JEE Main 2020
Statistics & Probability
Probability
Medium

Question

If the numbers appeared on the two throws of a fair six faced die are α\alpha and β\beta, then the probability that x2+αx+β>0x^{2}+\alpha x+\beta>0, for all xRx \in \mathbf{R}, is :

Options

Solution

1. Key Concepts and Formulas

  • Condition for a Quadratic to be Always Positive: For a quadratic expression Ax2+Bx+CAx^2 + Bx + C to be strictly positive for all real values of xx (i.e., Ax2+Bx+C>0Ax^2 + Bx + C > 0 for all xRx \in \mathbf{R}), two conditions must be met:
    1. The leading coefficient must be positive: A>0A > 0. This ensures the parabola opens upwards.
    2. The discriminant must be negative: Δ=B24AC<0\Delta = B^2 - 4AC < 0. This ensures the parabola does not intersect or touch the x-axis, thus remaining entirely above it.
  • Probability Formula: For an event EE in a sample space of equally likely outcomes, the probability P(E)P(E) is given by: P(E)=Number of Favorable OutcomesTotal Number of Possible OutcomesP(E) = \frac{\text{Number of Favorable Outcomes}}{\text{Total Number of Possible Outcomes}}
  • Sample Space for Die Throws: When a fair six-faced die is thrown twice, the outcomes are ordered pairs (α,β)(\alpha, \beta) where α,β{1,2,3,4,5,6}\alpha, \beta \in \{1, 2, 3, 4, 5, 6\}. Each throw is independent.

2. Step-by-Step Solution

Step 1: Determine the algebraic condition for the quadratic to be always positive. We are given the quadratic expression x2+αx+βx^2 + \alpha x + \beta. Comparing this with the standard form Ax2+Bx+CAx^2 + Bx + C, we identify the coefficients:

  • A=1A = 1 (coefficient of x2x^2)
  • B=αB = \alpha (coefficient of xx)
  • C=βC = \beta (constant term)

Now, we apply the two conditions for a quadratic to be always positive:

  1. Leading Coefficient (A>0A > 0): Here, A=1A = 1. Since 1>01 > 0, this condition is satisfied. This confirms that the parabola representing the quadratic opens upwards, which is necessary for it to be always positive.

  2. Discriminant (Δ<0\Delta < 0): The discriminant is calculated as Δ=B24AC\Delta = B^2 - 4AC. Substituting the coefficients from our quadratic: Δ=(α)24(1)(β)=α24β\Delta = (\alpha)^2 - 4(1)(\beta) = \alpha^2 - 4\beta For the quadratic to be always positive for all xRx \in \mathbf{R}, the discriminant must be strictly negative: α24β<0\alpha^2 - 4\beta < 0 Rearranging this inequality, we get the crucial condition: α2<4β\alpha^2 < 4\beta This is the algebraic condition that the values of α\alpha and β\beta must satisfy.

Step 2: Define the sample space and total number of outcomes. The numbers α\alpha and β\beta are the results of two independent throws of a fair six-faced die. Therefore:

  • α\alpha can be any integer from the set {1,2,3,4,5,6}\{1, 2, 3, 4, 5, 6\}.
  • β\beta can be any integer from the set {1,2,3,4,5,6}\{1, 2, 3, 4, 5, 6\}. Since there are 6 possible outcomes for the first throw and 6 possible outcomes for the second throw, the total number of distinct ordered pairs (α,β)(\alpha, \beta) in our sample space is: Total Number of Outcomes=6×6=36\text{Total Number of Outcomes} = 6 \times 6 = 36 Each of these 36 outcomes is equally likely.

Step 3: Identify the favorable outcomes. We need to find all pairs (α,β)(\alpha, \beta) from our sample space (where α,β{1,2,3,4,5,6}\alpha, \beta \in \{1, 2, 3, 4, 5, 6\}) that satisfy the condition α2<4β\alpha^2 < 4\beta. We will do this systematically by considering each possible value of α\alpha:

  • Case 1: If α=1\alpha = 1 The condition becomes 12<4β    1<4β    β>141^2 < 4\beta \implies 1 < 4\beta \implies \beta > \frac{1}{4}. The possible integer values for β\beta from {1,2,3,4,5,6}\{1, 2, 3, 4, 5, 6\} that satisfy this are {1,2,3,4,5,6}\{1, 2, 3, 4, 5, 6\}. Number of favorable outcomes for α=1\alpha=1: 6 pairs.

  • Case 2: If α=2\alpha = 2 The condition becomes 22<4β    4<4β    β>12^2 < 4\beta \implies 4 < 4\beta \implies \beta > 1. The possible integer values for β\beta from {1,2,3,4,5,6}\{1, 2, 3, 4, 5, 6\} that satisfy this are {2,3,4,5,6}\{2, 3, 4, 5, 6\}. Number of favorable outcomes for α=2\alpha=2: 5 pairs.

  • Case 3: If α=3\alpha = 3 The condition becomes 32<4β    9<4β    β>94    β>2.253^2 < 4\beta \implies 9 < 4\beta \implies \beta > \frac{9}{4} \implies \beta > 2.25. The possible integer values for β\beta from {1,2,3,4,5,6}\{1, 2, 3, 4, 5, 6\} that satisfy this are {3,4,5,6}\{3, 4, 5, 6\}. Number of favorable outcomes for α=3\alpha=3: 4 pairs.

  • Case 4: If α=4\alpha = 4 The condition becomes 42<4β    16<4β    β>44^2 < 4\beta \implies 16 < 4\beta \implies \beta > 4. The possible integer values for β\beta from {1,2,3,4,5,6}\{1, 2, 3, 4, 5, 6\} that satisfy this are {5,6}\{5, 6\}. Number of favorable outcomes for α=4\alpha=4: 2 pairs.

  • Case 5: If α=5\alpha = 5 The condition becomes 52<4β    25<4β    β>254    β>6.255^2 < 4\beta \implies 25 < 4\beta \implies \beta > \frac{25}{4} \implies \beta > 6.25. There are no integer values for β\beta in the set {1,2,3,4,5,6}\{1, 2, 3, 4, 5, 6\} that satisfy this condition. Number of favorable outcomes for α=5\alpha=5: 0 pairs.

  • Case 6: If α=6\alpha = 6 The condition becomes 62<4β    36<4β    β>96^2 < 4\beta \implies 36 < 4\beta \implies \beta > 9. There are no integer values for β\beta in the set {1,2,3,4,5,6}\{1, 2, 3, 4, 5, 6\} that satisfy this condition. Number of favorable outcomes for α=6\alpha=6: 0 pairs.

Summing up the number of favorable outcomes from all cases: Total Number of Favorable Outcomes=6+5+4+2+0+0=17\text{Total Number of Favorable Outcomes} = 6 + 5 + 4 + 2 + 0 + 0 = 17

Step 4: Calculate the probability. Using the probability formula, we divide the total number of favorable outcomes by the total number of possible outcomes: P(Quadratic always positive)=Total Number of Favorable OutcomesTotal Number of Possible OutcomesP(\text{Quadratic always positive}) = \frac{\text{Total Number of Favorable Outcomes}}{\text{Total Number of Possible Outcomes}} P(Quadratic always positive)=1736P(\text{Quadratic always positive}) = \frac{17}{36}

3. Common Mistakes & Tips

  • Common Mistake 1: Incorrect Discriminant Condition: It's crucial to remember that for a quadratic Ax2+Bx+C>0Ax^2+Bx+C > 0, the discriminant must be strictly negative (Δ<0\Delta < 0). If the problem had asked for Ax2+Bx+C0Ax^2+Bx+C \ge 0, then Δ0\Delta \le 0 would be the correct condition.
  • Common Mistake 2: Errors in Counting Integer Solutions: When solving the inequality for β\beta (e.g., β>k\beta > k), be careful with fractional values of kk. For instance, β>2.25\beta > 2.25 means the smallest integer value for β\beta is 3, not 2.
  • Tip 1: Systematic Listing: For problems involving discrete outcomes like die rolls, always list the possibilities systematically (e.g., by iterating through one variable and then the other). This methodical approach minimizes errors and ensures no valid outcomes are missed.

4. Summary

This problem effectively tests the understanding of conditions for a quadratic expression to be always positive, combined with basic probability principles. The first step was to translate the condition "x2+αx+β>0x^2+\alpha x+\beta>0 for all xRx \in \mathbf{R}" into an algebraic inequality involving α\alpha and β\beta, which resulted in α2<4β\alpha^2 < 4\beta. Following this, we systematically enumerated all possible pairs of die rolls (α,β)(\alpha, \beta) that satisfied this inequality. There were 17 such favorable outcomes. Dividing this by the total number of possible outcomes for two die rolls (36) gave the final probability.

The final answer is \boxed{\frac{17}{36}} which corresponds to option (A).

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