Difference between revisions of "2021 AIME I Problems/Problem 12"
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Therefore, the answer is <math>16+3=\boxed{019}.</math> | Therefore, the answer is <math>16+3=\boxed{019}.</math> | ||
− | ~Ross Gao | + | ~Ross Gao ~MRENTHUSIASM |
− | + | ==Solution 2 (Markov Chain)== | |
− | + | We can solve the problem by removing <math>1</math> frog, and calculate the expected time for the remaining <math>2</math> frogs. In the original problem, when the movement stops, <math>2</math> of the <math>3</math> frogs meet. Because the <math>3</math> frogs cannot meet at one vertex, the probability that those two specific frogs meet is <math>\tfrac13</math>. If the expected time for the two frog problem is <math>E'</math>, then the expected time for the original problem is <math>\tfrac 13 E'</math>. | |
− | The | + | The distance between the two frogs can only be <math>0</math>, <math>2</math>, <math>4</math>, <math>6</math>. We use the distances as the states to draw the following [https://en.wikipedia.org/wiki/Markov_chain Markov Chain]. This Markov Chain is much simpler than that of Solution 1 Supplement in the <b>Remark</b> section. |
− | [[File: | + | [[File:AIME-I-2021-12a.png| 600px |center]] |
− | From state <math>(4, 4, 4)</math> to state <math>(4, 4, 4)</math> | + | <cmath>\begin{align*} |
+ | E(2) &= 1 + \frac12 \cdot E(2) + \frac14 \cdot E(4)\\ | ||
+ | E(4) &= 1 + \frac14 \cdot E(2) + \frac12 \cdot E(4) + \frac14 \cdot E(6)\\ | ||
+ | E(6) &= 1 + \frac12 \cdot E(4) + \frac12 \cdot E(6) | ||
+ | \end{align*}</cmath> | ||
+ | |||
+ | By solving the above system of equations, <math>E(4) = 16</math>. The answer for the original problem is <math>\frac{16}{3}</math>, <math>16 + 3 = \boxed{\textbf{019}}</math> | ||
+ | |||
+ | ~[https://artofproblemsolving.com/wiki/index.php/User:Isabelchen isabelchen] | ||
+ | |||
+ | ==Remark (Markov Chain)== | ||
+ | |||
+ | ===Solution 1 Supplement=== | ||
+ | |||
+ | Solution 1 can be represented by the following [https://en.wikipedia.org/wiki/Markov_chain Markov Chain]: | ||
+ | |||
+ | [[File:AIME-I-2021-12b.png| 600px |center]] | ||
+ | |||
+ | From state <math>(4, 4, 4)</math> to state <math>(4, 4, 4)</math>: the <math>3</math> frogs must jump in the same direction, <math>2 \cdot \frac18 = \frac14</math>. | ||
+ | |||
+ | From state <math>(4, 4, 4)</math> to state <math>(2, 4, 6)</math>: <math>2</math> frogs must jump in the same direction, and the other must jump in the opposite direction, <math>\binom32 \cdot 2 \cdot \frac18 = \frac34</math>. | ||
− | From state <math>( | + | From state <math>(2, 4, 6)</math> to state <math>(4, 4, 4)</math>: the <math>2</math> frogs with a distance of <math>4</math> in between must jump in the same direction so that they will be further away from the other frog, and the other frog must jump in the opposite direction as those <math>2</math> frogs, <math>\frac18</math>. |
− | From state <math>(2, 4, 6)</math> to state <math>( | + | From state <math>(2, 4, 6)</math> to state <math>(2, 4, 6)</math>: the <math>3</math> frogs can all jump in the same direction; or the <math>2</math> frogs with a distance of <math>2</math> in between jumps away from each other and the other frog jumps closer to the closest frog; or the <math>2</math> frogs with a distance of <math>6</math> in between jump closer to each other and away from the third frog, the third frog jumps closer to the closest frog; <math>(2 + 1 + 1) \cdot \frac18 = \frac12</math>. |
− | From state <math>(2, 4, 6)</math> to state <math>(2, | + | From state <math>(2, 4, 6)</math> to state <math>(2, 2, 8)</math>: the <math>2</math> frogs with a distance of <math>2</math> in between must jump closer to the other frog and the other frog must jump close to those <math>2</math> frogs, <math>\frac18</math>. |
− | From state <math>(2, | + | From state <math>(2, 2, 8)</math> to state <math>(2, 4, 6)</math>: <math>2</math> frogs that have no frogs in between must both jump in the same direction away from the other frog, the other frog must also jump away from those <math>2</math> frogs, <math>2 \cdot \frac18 = \frac14</math>. |
− | From state <math>(2, 2, 8)</math> to state <math>(2, | + | From state <math>(2, 2, 8)</math> to state <math>(2, 2, 8)</math>: the <math>3</math> frogs must all jump in the same direction, <math>2 \cdot \frac18 = \frac14</math>. |
− | From state <math>(2, 2, 8)</math> to state <math>( | + | From state <math>(2, 2, 8)</math> to state <math>(0, x, y)</math>: frogs with a distance of <math>2</math> must jump closer to each other, the other frog can jump in any direction, <math>\frac12 \cdot \frac12 \cdot 2 = \frac12</math>. |
− | From state <math>(2, | + | From state <math>(2, 4, 6)</math> to state <math>(0, x, y)</math>: the frogs with a distance of <math>2</math> must jump closer to each other, the other frog can jump in any direction, <math>\frac12 \cdot \frac12 = \frac14</math>. |
− | + | Because <math>a + b + c = 12</math>, we can use <math>(a, b)</math> to represent the states which is simpler than using <math>(a, b, c)</math> in Solution 1. | |
+ | ===Summary=== | ||
− | + | The two above Markov Chains are [https://en.wikipedia.org/wiki/Absorbing_Markov_chain Absorbing Markov Chain]. The state of <math>2</math> frogs meeting is the absorbing state. This problem asks for the [https://en.wikipedia.org/wiki/Absorbing_Markov_chain#Expected_number_of_steps Expected Number of Steps] before being absorbed in the absorbing state. | |
− | < | + | Let <math>p_{ij} = P(X_{n+1} = j | X_n = i)</math>, the probability that state <math>i</math> transits to state <math>j</math> on the next step. |
− | + | ||
− | + | Let <math>e_i</math> be the expected number of steps before being absorbed in the absorbing state when starting from transient state <math>i</math>. | |
− | + | ||
− | \ | + | <math>e_i = \sum_{j} [p_{ij} \cdot ( 1 + e_{j})] = \sum_{j} (p_{ij} + p_{ij} \cdot e_{j}) = \sum_{j} p_{ij} + \sum_{j} (p_{ij} \cdot e_{j}) = 1 + \sum_{j} (p_{ij} \cdot e_{j})</math> |
+ | |||
+ | <math>e_i</math> is <math>1</math> plus the sum of the products of <math>p_{ij}</math> and <math>s_j</math> of all the next state <math>j</math>, <math>\sum_{j} p_{ij} = 1</math>. | ||
+ | |||
+ | [https://artofproblemsolving.com/wiki/index.php/2014_AMC_12B_Problems/Problem_22 2014 AMC12B Problem 22] and [https://artofproblemsolving.com/wiki/index.php/2017_AMC_12A_Problems/Problem_22 2017 AMC12A Problem 22] are similar problem with simpler states, both problems can be solved by Absorbing Markov Chain. | ||
+ | |||
+ | ~[https://artofproblemsolving.com/wiki/index.php/User:Isabelchen isabelchen] | ||
+ | |||
+ | ==Video Solution== | ||
+ | https://www.youtube.com/watch?v=nt4xwt5Ldtc | ||
− | ~ | + | ~Math Problem Solving Skills |
==See Also== | ==See Also== |
Latest revision as of 10:57, 3 December 2023
Contents
Problem
Let be a dodecagon (-gon). Three frogs initially sit at and . At the end of each minute, simultaneously, each of the three frogs jumps to one of the two vertices adjacent to its current position, chosen randomly and independently with both choices being equally likely. All three frogs stop jumping as soon as two frogs arrive at the same vertex at the same time. The expected number of minutes until the frogs stop jumping is , where and are relatively prime positive integers. Find .
Solution 1
Define the distance between two frogs as the number of sides between them that do not contain the third frog.
Let denote the expected number of minutes until the frogs stop jumping, such that the distances between the frogs are and (in either clockwise or counterclockwise order). Without the loss of generality, assume that
We wish to find Note that:
- At any moment before the frogs stop jumping, the only possibilities for are and
- does not depend on the actual positions of the frogs, but depends on the distances between the frogs.
- At the end of each minute, each frog has outcomes. So, there are outcomes in total.
We have the following system of equations: Rearranging and simplifying each equation, we get Substituting and into we obtain from which Substituting this into gives
Therefore, the answer is
~Ross Gao ~MRENTHUSIASM
Solution 2 (Markov Chain)
We can solve the problem by removing frog, and calculate the expected time for the remaining frogs. In the original problem, when the movement stops, of the frogs meet. Because the frogs cannot meet at one vertex, the probability that those two specific frogs meet is . If the expected time for the two frog problem is , then the expected time for the original problem is .
The distance between the two frogs can only be , , , . We use the distances as the states to draw the following Markov Chain. This Markov Chain is much simpler than that of Solution 1 Supplement in the Remark section.
By solving the above system of equations, . The answer for the original problem is ,
Remark (Markov Chain)
Solution 1 Supplement
Solution 1 can be represented by the following Markov Chain:
From state to state : the frogs must jump in the same direction, .
From state to state : frogs must jump in the same direction, and the other must jump in the opposite direction, .
From state to state : the frogs with a distance of in between must jump in the same direction so that they will be further away from the other frog, and the other frog must jump in the opposite direction as those frogs, .
From state to state : the frogs can all jump in the same direction; or the frogs with a distance of in between jumps away from each other and the other frog jumps closer to the closest frog; or the frogs with a distance of in between jump closer to each other and away from the third frog, the third frog jumps closer to the closest frog; .
From state to state : the frogs with a distance of in between must jump closer to the other frog and the other frog must jump close to those frogs, .
From state to state : frogs that have no frogs in between must both jump in the same direction away from the other frog, the other frog must also jump away from those frogs, .
From state to state : the frogs must all jump in the same direction, .
From state to state : frogs with a distance of must jump closer to each other, the other frog can jump in any direction, .
From state to state : the frogs with a distance of must jump closer to each other, the other frog can jump in any direction, .
Because , we can use to represent the states which is simpler than using in Solution 1.
Summary
The two above Markov Chains are Absorbing Markov Chain. The state of frogs meeting is the absorbing state. This problem asks for the Expected Number of Steps before being absorbed in the absorbing state.
Let , the probability that state transits to state on the next step.
Let be the expected number of steps before being absorbed in the absorbing state when starting from transient state .
is plus the sum of the products of and of all the next state , .
2014 AMC12B Problem 22 and 2017 AMC12A Problem 22 are similar problem with simpler states, both problems can be solved by Absorbing Markov Chain.
Video Solution
https://www.youtube.com/watch?v=nt4xwt5Ldtc
~Math Problem Solving Skills
See Also
2021 AIME I (Problems • Answer Key • Resources) | ||
Preceded by Problem 11 |
Followed by Problem 13 | |
1 • 2 • 3 • 4 • 5 • 6 • 7 • 8 • 9 • 10 • 11 • 12 • 13 • 14 • 15 | ||
All AIME Problems and Solutions |
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