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Difference between revisions of "2023 AMC 12A Problems/Problem 17"

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<math>\textbf{(A)}~\frac{5}{512}\qquad\textbf{(B)}~\frac{45}{1024}\qquad\textbf{(C)}~\frac{127}{1024}\qquad\textbf{(D)}~\frac{511}{1024}\qquad\textbf{(E)}~\frac{1}{2}</math>
 
<math>\textbf{(A)}~\frac{5}{512}\qquad\textbf{(B)}~\frac{45}{1024}\qquad\textbf{(C)}~\frac{127}{1024}\qquad\textbf{(D)}~\frac{511}{1024}\qquad\textbf{(E)}~\frac{1}{2}</math>
 
== Solution 1 ==
 
== Solution 1 ==
 +
Initially, the probability of landing at <math>10</math> and landing past <math>10</math> (summing the infinte series) are exactly the same. Landing before 10 repeats this initial condition, with a different irrelevant scaling factor. Therefore, the probability must be <math>\boxed{\textbf{(E)}~\frac12}</math>.
 +
 +
== Solution 2 ==
 
Let's denote <math>f(n)</math> as the probability of reaching <math>n</math> from <math>0</math>. We immediately see that <math>f(0) = 1</math>, and <math>f(1) = \frac{1}{2}</math>, since there's only one way to get to 1 from 0. Just jump!
 
Let's denote <math>f(n)</math> as the probability of reaching <math>n</math> from <math>0</math>. We immediately see that <math>f(0) = 1</math>, and <math>f(1) = \frac{1}{2}</math>, since there's only one way to get to 1 from 0. Just jump!
  
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~ <math>\color{magenta} zoomanTV</math>
 
~ <math>\color{magenta} zoomanTV</math>
  
−
== Solution 2 ==
+
== Solution 3 ==
−
In order to find the probability of landing on 10, we must multiply the amount of successful combinations by the probability of those combinations. Notice for any successful combination of steps, the probability must always be <math>\frac{1}{2^{10}}</math>. Now, we only need to find the amount of possibilites for steps since we know the probaility of each combination occuring is the same. This can be done using sticks and stones (9C0+9C1+9C2+9C3+...9C9) = 2^(9). This the final answer is  
+
In order to find the probability of landing on 10, we must multiply the amount of successful combinations by the probability of those combinations. Notice for any successful combination of steps, the probability must always be <math>\frac{1}{2^{10}}</math>. Now, we only need to find the amount of possibilities for steps since we know the probability of each combination occurring is the same. This can be done using sticks and stones <math>C_{0}^{9}+C_{1}^{9}+C_{2}^{9}+...+C_{9}^{9} = 2^9</math>. Hence the final answer is <math>\frac{2^{9}}{2^{10}}</math> or <math>\boxed{\textbf{(E)} \frac{1}{2}}</math>
  
−
<math>{2^{9}}</math> multiplied by <math>\frac{1}{2^{10}}</math> or \boxed{\textbf{(E)} \frac{1}{2}}$
 
 
~ShangJ2
 
~ShangJ2
 +
 +
Note that an alternative way of thinking the number of possible steps is that for each number from <math>1</math> to <math>9</math>, there are 2 possibilities: Flora lands on this number or Flora doesn't land on this number. Thus there are <math>2^9</math> total possible combination of steps
 +
 +
~dwarf_marshmallow
 +
 +
== Solution 4 (engineer's induction) ==
 +
The probability frog lands on 1 is trivially <math>\frac{1}{2}.</math>
 +
 +
The probability frog lands on 2 is <math>\frac{1}{4} + \frac{1}{2}\cdot \frac{1}{2} = \frac{1}{2},</math> from the two cases 0-2 and 0-1-2.
 +
 +
The probability frog lands on 3 is <math>\frac{1}{8} + 2\cdot \frac{1}{2} \cdot \frac{1}{4} + \frac{1}{2}\cdot \frac{1}{2}\cdot \frac{1}{2} = \frac{1}{2}</math> from the cases 0-3, 0-1-3 and 0-2-3, 0-1-2-3.
 +
 +
The probability frog lands on 4 is <math>\frac{1}{16} + 2\cdot \frac{1}{2} \cdot \frac{1}{8} + \frac{1}{4}\cdot \frac{1}{4} + 3\cdot \frac{1}{2}\cdot \frac{1}{2}\cdot \frac{1}{4} + \frac{1}{2} \cdot \frac{1}{2} \cdot \frac{1}{2} \cdot \frac{1}{2} = \frac{1}{2}</math> from the cases 0-4, 0-1-4 and 0-3-4, 0-2-4, 0-1-2-4 and 0-1-3-4 and 0-2-3-4, 0-1-2-3-4.
 +
 +
It looks like the probability is <math>\frac{1}{2}</math> regardless of the ending number. Therefore, we choose <math>\boxed{\textbf{(E)} \frac{1}{2}}</math>
 +
 +
~sirswagger21
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 +
 +
==Solution 5==
 +
No matter what the probability of getting to the end has a probability of <math>\frac{1}{1024}</math>
 +
 +
So the thing is how many ways to jump from the first spot to the last spot.
 +
 +
Given it requires <math>n</math> steps to reach the end, there are <math>\binom{10-1}{n-1}=\binom{9}{n-1}</math> ways to get the end.
 +
 +
<math>\sum_{n=1}^{10}\binom{9}{n-1}=2^9=512\implies \frac{1}{2}</math>
 +
 +
~bluesoul
 +
==Solution 7 (Mathematician's Induction)==
 +
A more rigorous proof to solution 4.
 +
 +
Let <math>P_n</math> represents the probability of Flora landing on number n
 +
 +
We hypothesize that <math>P_n = \frac{1}{2}, \forall n \ge 1</math>
 +
 +
Base case: <math>P_1 = \frac{1}{2}</math> as shown in solution 4
 +
 +
Induction steps:
 +
 +
<cmath>P_n = \frac{P_{n-1}}{2} + \frac{P_{n-2}}{4} + \dots + \frac{P_{n-m}}{2^m} \dots + \frac{P_0}{2^n}</cmath>
 +
We assume that <math>P_{n-1} = P_{n-2} = \dots = P_1 = \frac{1}{2}</math> and <math>P_0 = 1</math> is true
 +
<cmath>P_n = \frac{1}{4} + \frac{1}{8} + \dots + \frac{1}{2^{n-1}} + \frac{1}{2^n} + \frac{1}{2^n}</cmath>
 +
(it's obvious here that this will add up to <math>\frac{1}{2}</math> but to be 100% rigorous we do sum of geometric sequences )
 +
<cmath>P_n = \frac{\frac{1}{4}(1 - (\frac{1}{2})^{n-1})}{1 - \frac{1}{2}} + \frac{1}{2^n}</cmath>
 +
<cmath>P_n = \frac{2^{n-1} - 1}{2^n} + \frac{1}{2^n}</cmath>
 +
<cmath>P_n = \frac{2^{n-1}}{2^n} = \frac{1}{2}</cmath>
 +
Thus, since our base case it true, by induction every <math>P_n = \frac{1}{2}</math> for <math>n \ge 1</math> and <math>P_{10} = \boxed{\textbf{(E)} \frac{1}{2}}</math>
 +
 +
~dwarf_marshmallow
 +
 +
==Video Solution ==
 +
https://youtu.be/dUyNe_2bBmM
 +
<i> ~Education, the Study of Everything </i>
 +
 +
==Video Solution 1 by OmegaLearn ==
 +
https://youtu.be/n8vGP49-x1Q
 +
 +
==Video Solution==
 +
 +
https://youtu.be/4cGmuTGFWyk
 +
 +
~Steven Chen (Professor Chen Education Palace, www.professorchenedu.com)
 +
 +
==Video Solution by Solve It ==
 +
 +
https://youtu.be/rsxyg6mcFZg
  
 
==See also==
 
==See also==

Revision as of 07:06, 24 August 2024

Problem

Flora the frog starts at 0 on the number line and makes a sequence of jumps to the right. In any one jump, independent of previous jumps, Flora leaps a positive integer distance $m$ with probability $\frac{1}{2^m}$.

What is the probability that Flora will eventually land at 10?

$\textbf{(A)}~\frac{5}{512}\qquad\textbf{(B)}~\frac{45}{1024}\qquad\textbf{(C)}~\frac{127}{1024}\qquad\textbf{(D)}~\frac{511}{1024}\qquad\textbf{(E)}~\frac{1}{2}$

Solution 1

Initially, the probability of landing at $10$ and landing past $10$ (summing the infinte series) are exactly the same. Landing before 10 repeats this initial condition, with a different irrelevant scaling factor. Therefore, the probability must be $\boxed{\textbf{(E)}~\frac12}$.

Solution 2

Let's denote $f(n)$ as the probability of reaching $n$ from $0$. We immediately see that $f(0) = 1$, and $f(1) = \frac{1}{2}$, since there's only one way to get to 1 from 0. Just jump!

Now, let's write an expression for $f(10)$. Suppose we know $f(9),f(8),\dotsc,f(2)$.

The probability of reaching 10 from some integer $k < 10$ will be $\frac{1}{2^{10-k}}$ (use the formula given in the problem!) The probability of reaching that integer $k$ from $0$ is going to be $f(k)$. Then, the probability of going from $0 \to \underbrace{ k \to 10}_{\text{one jump}}$ will be \[\mathbb{P}(\text{Reaching } 10 \text{ from } 0 \text { while passing through } k) = f(k) \cdot \frac{1}{2^{10-k}}\] We want the probability of reaching 10 from anywhere though, so what we can do is sum over all passing points $k$, i.e. \[f(10) = \sum_{k=0}^9 \mathbb{P}(\text{Reaching } 10 \text{ from } 0 \text { while passing through } k) = \sum_{k=0}^9 \frac{1}{2^{10-k}} \cdot f(k)\]

Now that we have expressed our problem formally, we can actually start solving it!

Let's calculate $f(9)$ (our expression is actually a general fact, not just limited to $10$). \[f(9) = \sum_{k=0}^8 \frac{1}{2^{9-k}} \cdot f(k)\] \[\frac{f(9)}{2} = \sum_{k=0}^8 \frac{1}{2^{10-k}} \cdot f(k)\] Hmm, we see that the first 8 terms of $\frac{f(9)}{2}$ are exactly the first 8 terms of $f(10)$. Let's substitute it in. \[f(10) = \frac{1}{2} \cdot f(9) + \color{red} \sum_{k=0}^8 \frac{1}{2^{10-k}} \cdot f(k)\] \[f(10) = \frac{1}{2} \cdot f(9) + \color{red} \frac{1}{2} \cdot f(9)\] \[f(10) = f(9)\] Isn't that interesting. Turns out, this reasoning can be extended all the way to $f(10) = f(9) = \dotsc = f(2) = f(1)$.


It breaks at $f(1) \neq f(0)$, since $f(1) = \frac{1}{2} f(0)$. Anyway, with this, we see that the answer is just

$f(10) = f(1) = \boxed{\textbf{(E)} \ \frac{1}{2}}$ ~ $\color{magenta} zoomanTV$

Solution 3

In order to find the probability of landing on 10, we must multiply the amount of successful combinations by the probability of those combinations. Notice for any successful combination of steps, the probability must always be $\frac{1}{2^{10}}$. Now, we only need to find the amount of possibilities for steps since we know the probability of each combination occurring is the same. This can be done using sticks and stones $C_{0}^{9}+C_{1}^{9}+C_{2}^{9}+...+C_{9}^{9} = 2^9$. Hence the final answer is $\frac{2^{9}}{2^{10}}$ or $\boxed{\textbf{(E)} \frac{1}{2}}$

~ShangJ2

Note that an alternative way of thinking the number of possible steps is that for each number from $1$ to $9$, there are 2 possibilities: Flora lands on this number or Flora doesn't land on this number. Thus there are $2^9$ total possible combination of steps

~dwarf_marshmallow

Solution 4 (engineer's induction)

The probability frog lands on 1 is trivially $\frac{1}{2}.$

The probability frog lands on 2 is $\frac{1}{4} + \frac{1}{2}\cdot \frac{1}{2} = \frac{1}{2},$ from the two cases 0-2 and 0-1-2.

The probability frog lands on 3 is $\frac{1}{8} + 2\cdot \frac{1}{2} \cdot \frac{1}{4} + \frac{1}{2}\cdot \frac{1}{2}\cdot \frac{1}{2} = \frac{1}{2}$ from the cases 0-3, 0-1-3 and 0-2-3, 0-1-2-3.

The probability frog lands on 4 is $\frac{1}{16} + 2\cdot \frac{1}{2} \cdot \frac{1}{8} + \frac{1}{4}\cdot \frac{1}{4} + 3\cdot \frac{1}{2}\cdot \frac{1}{2}\cdot \frac{1}{4} + \frac{1}{2} \cdot \frac{1}{2} \cdot \frac{1}{2} \cdot \frac{1}{2} = \frac{1}{2}$ from the cases 0-4, 0-1-4 and 0-3-4, 0-2-4, 0-1-2-4 and 0-1-3-4 and 0-2-3-4, 0-1-2-3-4.

It looks like the probability is $\frac{1}{2}$ regardless of the ending number. Therefore, we choose $\boxed{\textbf{(E)} \frac{1}{2}}$

~sirswagger21


Solution 5

No matter what the probability of getting to the end has a probability of $\frac{1}{1024}$

So the thing is how many ways to jump from the first spot to the last spot.

Given it requires $n$ steps to reach the end, there are $\binom{10-1}{n-1}=\binom{9}{n-1}$ ways to get the end.

$\sum_{n=1}^{10}\binom{9}{n-1}=2^9=512\implies \frac{1}{2}$

~bluesoul

Solution 7 (Mathematician's Induction)

A more rigorous proof to solution 4.

Let $P_n$ represents the probability of Flora landing on number n

We hypothesize that $P_n = \frac{1}{2}, \forall n \ge 1$

Base case: $P_1 = \frac{1}{2}$ as shown in solution 4

Induction steps:

\[P_n = \frac{P_{n-1}}{2} + \frac{P_{n-2}}{4} + \dots + \frac{P_{n-m}}{2^m} \dots + \frac{P_0}{2^n}\] We assume that $P_{n-1} = P_{n-2} = \dots = P_1 = \frac{1}{2}$ and $P_0 = 1$ is true \[P_n = \frac{1}{4} + \frac{1}{8} + \dots + \frac{1}{2^{n-1}} + \frac{1}{2^n} + \frac{1}{2^n}\] (it's obvious here that this will add up to $\frac{1}{2}$ but to be 100% rigorous we do sum of geometric sequences ) \[P_n = \frac{\frac{1}{4}(1 - (\frac{1}{2})^{n-1})}{1 - \frac{1}{2}} + \frac{1}{2^n}\] \[P_n = \frac{2^{n-1} - 1}{2^n} + \frac{1}{2^n}\] \[P_n = \frac{2^{n-1}}{2^n} = \frac{1}{2}\] Thus, since our base case it true, by induction every $P_n = \frac{1}{2}$ for $n \ge 1$ and $P_{10} = \boxed{\textbf{(E)} \frac{1}{2}}$

~dwarf_marshmallow

Video Solution

https://youtu.be/dUyNe_2bBmM ~Education, the Study of Everything

Video Solution 1 by OmegaLearn

https://youtu.be/n8vGP49-x1Q

Video Solution

https://youtu.be/4cGmuTGFWyk

~Steven Chen (Professor Chen Education Palace, www.professorchenedu.com)

Video Solution by Solve It

https://youtu.be/rsxyg6mcFZg

See also

2023 AMC 12A (Problems • Answer Key • Resources)
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