Post History
#14: Post edited
Can someone please rectify my MathJax? Please see the red phrase below. If Alice must've classes on at least 2 days, then don't we need just the first 2 summations $\sum\limits_i P(A_i^C) - \sum\limits_{i < j} P(A_i^C \cap A_j^C)$? Why do we need $\sum\limits_{i < j<k} P(A_i^C \cap A_j^C \cap A_k^C) $?- Blitzstein, *Introduction to Probability* (2019 2 ed) Ch 1, Exercise 54, p 51.
- >Alice attends a small college in which each class meets only once a week. She is
- deciding between 30 non-overlapping classes. There are 6 classes to choose from for each
- day of the week, Monday through Friday. Trusting in the benevolence of randomness,
- Alice decides to register for 7 randomly selected classes out of the 30, with all choices
- equally likely. What is the probability that she will have classes every day, Monday
- through Friday? (This problem can be done either directly using the naive denition of
- probability, or using inclusion-exclusion.)
- I modified the solution in the Selected Solutions PDF, p 8.
- >### Inclusion-Exclusion Method
- >We will use inclusion-exclusion to find the probability of
- the complement, which is the event that she has at least one day with no classes. Let $A_i$ be the event of having at least one class on the $i^{th}$ day of the week. So $A_1$ means not having any classes on Mondays. $\cup A_i^C$ means there's at least one day with no classes.
>Then $P(\cup\lim_{i = 5} A_i^C) = \sum\limits_i P(A_i^C) - \sum\limits_{i < j} P(A_i^C \cap A_j^C) + \sum\limits_{i < j<k} P(A_i^C \cap A_j^C \cap A_k^C) $>$\color{red}{\text{(terms with the intersection of 4 or more $A_i^C$'s are not needed since Alice must haveclasses on at least 2 days)}}$. We have- >$P(A_1^C) = \dfrac{\dbinom{24}{7}}{\dbinom{30}{7}}, P(A_1^C \cap A_2^C) = \dfrac{\dbinom{18}{7}}{\dbinom{30}{7}}, P(A_1^C \cap A_2^C \cap A_3^C) = \dfrac{\dbinom{12}{7}}{\dbinom{30}{7}} $
- >and similarly for the other intersections. So $P(\cup\limits_{i = 5} A_i^C) = 5\dfrac{\dbinom{24}{7}}{\dbinom{30}{7}} - \dbinom{5}{2} \dfrac{\dbinom{18}{7}}{\dbinom{30}{7} + \dbinom{5}{3} \dfrac{\dbinom{12}{7}}{\dbinom{30}{7} = \dfrac{263}{377}$.
>Therefore, $P(\cap\lim_{i = 5} A_i^C) = \dfrac{114}{377}$.
- Can someone please rectify my MathJax? Please see the red phrase below.
- 1. The question itself never touts or postulates outright that Alice "must have classes on at least 2 days", which feels like an esoteric deduction. So why must she have classes on at least 2 days?
- 2. If Alice must've classes on at least 2 days, then don't we need merely the first 2 summations $\sum\limits_i P(A_i^C) - \sum\limits_{i < j} P(A_i^C \cap A_j^C)$? Why do we need $\sum\limits_{i < j<k} P(A_i^C \cap A_j^C \cap A_k^C) $?
- Blitzstein, *Introduction to Probability* (2019 2 ed) Ch 1, Exercise 54, p 51.
- >Alice attends a small college in which each class meets only once a week. She is
- deciding between 30 non-overlapping classes. There are 6 classes to choose from for each
- day of the week, Monday through Friday. Trusting in the benevolence of randomness,
- Alice decides to register for 7 randomly selected classes out of the 30, with all choices
- equally likely. What is the probability that she will have classes every day, Monday
- through Friday? (This problem can be done either directly using the naive denition of
- probability, or using inclusion-exclusion.)
- I modified the solution in the Selected Solutions PDF, p 8.
- >### Inclusion-Exclusion Method
- >
- >We will use inclusion-exclusion to find the probability of
- the complement, which is the event that she has at least one day with no classes. Let $A_i$ be the event of having at least one class on the $i^{th}$ day of the week. So $A_1$ means not having any classes on Mondays. $\cup A_i^C$ means there's at least one day with no classes.
- >
- >Then $P(\cup\limits_{i = 5} A_i^C) = \sum\limits_i P(A_i^C) - \sum\limits_{i < j} P(A_i^C \cap A_j^C) + \sum\limits_{i < j<k} P(A_i^C \cap A_j^C \cap A_k^C) $
- >
- >$\color{red}{\text{(terms with the intersection of 4 or more $A_i^C$'s are not needed since Alice must have classes on at least 2 days)}}$. We have
- >
- >$P(A_1^C) = \dfrac{\dbinom{24}{7}}{\dbinom{30}{7}}, P(A_1^C \cap A_2^C) = \dfrac{\dbinom{18}{7}}{\dbinom{30}{7}}, P(A_1^C \cap A_2^C \cap A_3^C) = \dfrac{\dbinom{12}{7}}{\dbinom{30}{7}} $
- >
- >and similarly for the other intersections. So $P(\cup\limits_{i = 5} A_i^C) = 5\dfrac{\dbinom{24}{7}}{\dbinom{30}{7}} - \dbinom{5}{2} \dfrac{\dbinom{18}{7}}{\dbinom{30}{7} + \dbinom{5}{3} \dfrac{\dbinom{12}{7}}{\dbinom{30}{7} = \dfrac{263}{377}$.
- >
- >Therefore, $P(\cap\limit_{i = 5} A_i^C) = \dfrac{114}{377}$.
#13: Post edited
If Alice must've have classes on at least 2 days, why do you need the intersection of 3 $A_i^C$'s?
- Can someone please rectify my MathJax? Please see the red phrase below. If Alice must've classes on at least 2 days, then don't we need just the first 2 summations $\sum\limits_i P(A_i^C) - \sum\limits_{i < j} P(A_i^C \cap A_j^C)$? Why do we need $\sum\limits_{i < j<k} P(A_i^C \cap A_j^C \cap A_k^C) $?
- Blitzstein, *Introduction to Probability* (2019 2 ed) Ch 1, Exercise 54, p 51.
- >Alice attends a small college in which each class meets only once a week. She is
- deciding between 30 non-overlapping classes. There are 6 classes to choose from for each
- day of the week, Monday through Friday. Trusting in the benevolence of randomness,
- Alice decides to register for 7 randomly selected classes out of the 30, with all choices
- equally likely. What is the probability that she will have classes every day, Monday
- through Friday? (This problem can be done either directly using the naive denition of
- probability, or using inclusion-exclusion.)
- I modified the solution in the Selected Solutions PDF, p 8.
- >### Inclusion-Exclusion Method
- >We will use inclusion-exclusion to find the probability of
- the complement, which is the event that she has at least one day with no classes. Let $A_i$ be the event of having at least one class on the $i^{th}$ day of the week. So $A_1$ means not having any classes on Mondays. $\cup A_i^C$ means there's at least one day with no classes.
>Then $P(\cup\limits_{i = 5} A_i^C) = \sum\limits_i P(A_i^C) - \sum\limits_{i < j} P(A_i^C \cap A_j^C) + \sum\limits_{i < j<k} P(A_i^C \cap A_j^C \cap A_k^C) $- >$\color{red}{\text{(terms with the intersection of 4 or more $A_i^C$'s are not needed since Alice must have
- classes on at least 2 days)}}$. We have
- >$P(A_1^C) = \dfrac{\dbinom{24}{7}}{\dbinom{30}{7}}, P(A_1^C \cap A_2^C) = \dfrac{\dbinom{18}{7}}{\dbinom{30}{7}}, P(A_1^C \cap A_2^C \cap A_3^C) = \dfrac{\dbinom{12}{7}}{\dbinom{30}{7}} $
- >and similarly for the other intersections. So $P(\cup\limits_{i = 5} A_i^C) = 5\dfrac{\dbinom{24}{7}}{\dbinom{30}{7}} - \dbinom{5}{2} \dfrac{\dbinom{18}{7}}{\dbinom{30}{7} + \dbinom{5}{3} \dfrac{\dbinom{12}{7}}{\dbinom{30}{7} = \dfrac{263}{377}$.
>Therefore, $P(\cap\limits_{i = 5} A_i^C) = \dfrac{114}{377}$.
- Can someone please rectify my MathJax? Please see the red phrase below. If Alice must've classes on at least 2 days, then don't we need just the first 2 summations $\sum\limits_i P(A_i^C) - \sum\limits_{i < j} P(A_i^C \cap A_j^C)$? Why do we need $\sum\limits_{i < j<k} P(A_i^C \cap A_j^C \cap A_k^C) $?
- Blitzstein, *Introduction to Probability* (2019 2 ed) Ch 1, Exercise 54, p 51.
- >Alice attends a small college in which each class meets only once a week. She is
- deciding between 30 non-overlapping classes. There are 6 classes to choose from for each
- day of the week, Monday through Friday. Trusting in the benevolence of randomness,
- Alice decides to register for 7 randomly selected classes out of the 30, with all choices
- equally likely. What is the probability that she will have classes every day, Monday
- through Friday? (This problem can be done either directly using the naive denition of
- probability, or using inclusion-exclusion.)
- I modified the solution in the Selected Solutions PDF, p 8.
- >### Inclusion-Exclusion Method
- >We will use inclusion-exclusion to find the probability of
- the complement, which is the event that she has at least one day with no classes. Let $A_i$ be the event of having at least one class on the $i^{th}$ day of the week. So $A_1$ means not having any classes on Mondays. $\cup A_i^C$ means there's at least one day with no classes.
- >Then $P(\cup\lim_{i = 5} A_i^C) = \sum\limits_i P(A_i^C) - \sum\limits_{i < j} P(A_i^C \cap A_j^C) + \sum\limits_{i < j<k} P(A_i^C \cap A_j^C \cap A_k^C) $
- >$\color{red}{\text{(terms with the intersection of 4 or more $A_i^C$'s are not needed since Alice must have
- classes on at least 2 days)}}$. We have
- >$P(A_1^C) = \dfrac{\dbinom{24}{7}}{\dbinom{30}{7}}, P(A_1^C \cap A_2^C) = \dfrac{\dbinom{18}{7}}{\dbinom{30}{7}}, P(A_1^C \cap A_2^C \cap A_3^C) = \dfrac{\dbinom{12}{7}}{\dbinom{30}{7}} $
- >and similarly for the other intersections. So $P(\cup\limits_{i = 5} A_i^C) = 5\dfrac{\dbinom{24}{7}}{\dbinom{30}{7}} - \dbinom{5}{2} \dfrac{\dbinom{18}{7}}{\dbinom{30}{7} + \dbinom{5}{3} \dfrac{\dbinom{12}{7}}{\dbinom{30}{7} = \dfrac{263}{377}$.
- >Therefore, $P(\cap\lim_{i = 5} A_i^C) = \dfrac{114}{377}$.
#11: Post edited
$\sum\limits_{k=0}^{n} k\binom{2n}{k} = n2^{2n -1} \overset{?}{\iff}$ Vandermonde's Identity?
- If Alice must've have classes on at least 2 days, why do you need the intersection of 3 $A_i^C$'s?
Please see the red phrase below. If Alice must've classes on at least 2 days, then don't we need just the first 2 summations $\sum\limits_i P(A_i^C) - \sum\limits_{i < j} P(A_i^C \cap A_j^C)$? BecauseBlitzstein's *Introduction to Probability* (2019 2 ed) Ch 1, Exercise 54, p 51.- >Alice attends a small college in which each class meets only once a week. She is
- deciding between 30 non-overlapping classes. There are 6 classes to choose from for each
- day of the week, Monday through Friday. Trusting in the benevolence of randomness,
- Alice decides to register for 7 randomly selected classes out of the 30, with all choices
- equally likely. What is the probability that she will have classes every day, Monday
- through Friday? (This problem can be done either directly using the naive denition of
- probability, or using inclusion-exclusion.)
I modified the solution form the Selected Solutions PDF, p 8.- >### Inclusion-Exclusion Method
>We will use inclusion-exclusion to nd the probability of- the complement, which is the event that she has at least one day with no classes. Let $A_i$ be the event of having at least one class on the $i^{th}$ day of the week. So $A_1$ means not having any classes on Mondays. $\cup A_i^C$ means there's at least one day with no classes.
- >Then $P(\cup\limits_{i = 5} A_i^C) = \sum\limits_i P(A_i^C) - \sum\limits_{i < j} P(A_i^C \cap A_j^C) + \sum\limits_{i < j<k} P(A_i^C \cap A_j^C \cap A_k^C) $
- >$\color{red}{\text{(terms with the intersection of 4 or more $A_i^C$'s are not needed since Alice must have
- classes on at least 2 days)}}$. We have
- >$P(A_1^C) = \dfrac{\dbinom{24}{7}}{\dbinom{30}{7}}, P(A_1^C \cap A_2^C) = \dfrac{\dbinom{18}{7}}{\dbinom{30}{7}}, P(A_1^C \cap A_2^C \cap A_3^C) = \dfrac{\dbinom{12}{7}}{\dbinom{30}{7}} $
- >and similarly for the other intersections. So $P(\cup\limits_{i = 5} A_i^C) = 5\dfrac{\dbinom{24}{7}}{\dbinom{30}{7}} - \dbinom{5}{2} \dfrac{\dbinom{18}{7}}{\dbinom{30}{7} + \dbinom{5}{3} \dfrac{\dbinom{12}{7}}{\dbinom{30}{7} = \dfrac{263}{377}$.
- >Therefore, $P(\cap\limits_{i = 5} A_i^C) = \dfrac{114}{377}$.
- Can someone please rectify my MathJax? Please see the red phrase below. If Alice must've classes on at least 2 days, then don't we need just the first 2 summations $\sum\limits_i P(A_i^C) - \sum\limits_{i < j} P(A_i^C \cap A_j^C)$? Why do we need $\sum\limits_{i < j<k} P(A_i^C \cap A_j^C \cap A_k^C) $?
- Blitzstein, *Introduction to Probability* (2019 2 ed) Ch 1, Exercise 54, p 51.
- >Alice attends a small college in which each class meets only once a week. She is
- deciding between 30 non-overlapping classes. There are 6 classes to choose from for each
- day of the week, Monday through Friday. Trusting in the benevolence of randomness,
- Alice decides to register for 7 randomly selected classes out of the 30, with all choices
- equally likely. What is the probability that she will have classes every day, Monday
- through Friday? (This problem can be done either directly using the naive denition of
- probability, or using inclusion-exclusion.)
- I modified the solution in the Selected Solutions PDF, p 8.
- >### Inclusion-Exclusion Method
- >We will use inclusion-exclusion to find the probability of
- the complement, which is the event that she has at least one day with no classes. Let $A_i$ be the event of having at least one class on the $i^{th}$ day of the week. So $A_1$ means not having any classes on Mondays. $\cup A_i^C$ means there's at least one day with no classes.
- >Then $P(\cup\limits_{i = 5} A_i^C) = \sum\limits_i P(A_i^C) - \sum\limits_{i < j} P(A_i^C \cap A_j^C) + \sum\limits_{i < j<k} P(A_i^C \cap A_j^C \cap A_k^C) $
- >$\color{red}{\text{(terms with the intersection of 4 or more $A_i^C$'s are not needed since Alice must have
- classes on at least 2 days)}}$. We have
- >$P(A_1^C) = \dfrac{\dbinom{24}{7}}{\dbinom{30}{7}}, P(A_1^C \cap A_2^C) = \dfrac{\dbinom{18}{7}}{\dbinom{30}{7}}, P(A_1^C \cap A_2^C \cap A_3^C) = \dfrac{\dbinom{12}{7}}{\dbinom{30}{7}} $
- >and similarly for the other intersections. So $P(\cup\limits_{i = 5} A_i^C) = 5\dfrac{\dbinom{24}{7}}{\dbinom{30}{7}} - \dbinom{5}{2} \dfrac{\dbinom{18}{7}}{\dbinom{30}{7} + \dbinom{5}{3} \dfrac{\dbinom{12}{7}}{\dbinom{30}{7} = \dfrac{263}{377}$.
- >Therefore, $P(\cap\limits_{i = 5} A_i^C) = \dfrac{114}{377}$.
#9: Post edited
Does [$\sum\limits_{k=0}^{n} k\binom{2n}{k} = n2^{2n -1}$](https://math.stackexchange.com/q/3866083) $\overset{?}{\iff} \sum\limits_{k=0}^{r}{ {{m}\choose{k}} { {n} \choose {r-k} } } = {m + n \choose r}$?If I substitute $m = 2n$ into Vandermonde's Identity, then $\sum\limits_{k=0}^{r} {{m}\choose{k}} {{n} \choose {r-k}} = {m + n \choose r} \overset{m = 2n}{\iff} \sum\limits_{k=0}^{r} {{2n}\choose{k}}{\color{red}{{n} \choose {r-k}}} = {3n \choose r}$.How can I transmogrify $\color{red}{{n} \choose {r-k}}$ into $k$? Does this help me to succeed?
- Please see the red phrase below. If Alice must've classes on at least 2 days, then don't we need just the first 2 summations $\sum\limits_i P(A_i^C) - \sum\limits_{i < j} P(A_i^C \cap A_j^C)$? Because
- Blitzstein's *Introduction to Probability* (2019 2 ed) Ch 1, Exercise 54, p 51.
- >Alice attends a small college in which each class meets only once a week. She is
- deciding between 30 non-overlapping classes. There are 6 classes to choose from for each
- day of the week, Monday through Friday. Trusting in the benevolence of randomness,
- Alice decides to register for 7 randomly selected classes out of the 30, with all choices
- equally likely. What is the probability that she will have classes every day, Monday
- through Friday? (This problem can be done either directly using the naive denition of
- probability, or using inclusion-exclusion.)
- I modified the solution form the Selected Solutions PDF, p 8.
- >### Inclusion-Exclusion Method
- >We will use inclusion-exclusion to nd the probability of
- the complement, which is the event that she has at least one day with no classes. Let $A_i$ be the event of having at least one class on the $i^{th}$ day of the week. So $A_1$ means not having any classes on Mondays. $\cup A_i^C$ means there's at least one day with no classes.
- >Then $P(\cup\limits_{i = 5} A_i^C) = \sum\limits_i P(A_i^C) - \sum\limits_{i < j} P(A_i^C \cap A_j^C) + \sum\limits_{i < j<k} P(A_i^C \cap A_j^C \cap A_k^C) $
- >$\color{red}{\text{(terms with the intersection of 4 or more $A_i^C$'s are not needed since Alice must have
- classes on at least 2 days)}}$. We have
- >$P(A_1^C) = \dfrac{\dbinom{24}{7}}{\dbinom{30}{7}}, P(A_1^C \cap A_2^C) = \dfrac{\dbinom{18}{7}}{\dbinom{30}{7}}, P(A_1^C \cap A_2^C \cap A_3^C) = \dfrac{\dbinom{12}{7}}{\dbinom{30}{7}} $
- >and similarly for the other intersections. So $P(\cup\limits_{i = 5} A_i^C) = 5\dfrac{\dbinom{24}{7}}{\dbinom{30}{7}} - \dbinom{5}{2} \dfrac{\dbinom{18}{7}}{\dbinom{30}{7} + \dbinom{5}{3} \dfrac{\dbinom{12}{7}}{\dbinom{30}{7} = \dfrac{263}{377}$.
- >Therefore, $P(\cap\limits_{i = 5} A_i^C) = \dfrac{114}{377}$.
#7: Post edited
- Does [$\sum\limits_{k=0}^{n} k\binom{2n}{k} = n2^{2n -1}$](https://math.stackexchange.com/q/3866083) $\overset{?}{\iff} \sum\limits_{k=0}^{r}{ {{m}\choose{k}} { {n} \choose {r-k} } } = {m + n \choose r}$?
If I substitute $m = 2n$ into Vandermonde's Identity, then $\sum\limits_{k=0}^{r}{ {{m}\choose{k}} { {n} \choose {r-k} } } = {m + n \choose r}} \iff \sum\limits_{k=0}^{r}{{2n}\choose{k}}{{n} \choose {r-\color{red}{k}} = {3n \choose r}$.How can I transmogrify ${\color{red}{{ {n} \choose {r-k} } }}$ into $k$? Does this make me succeed?
- Does [$\sum\limits_{k=0}^{n} k\binom{2n}{k} = n2^{2n -1}$](https://math.stackexchange.com/q/3866083) $\overset{?}{\iff} \sum\limits_{k=0}^{r}{ {{m}\choose{k}} { {n} \choose {r-k} } } = {m + n \choose r}$?
- If I substitute $m = 2n$ into Vandermonde's Identity, then $\sum\limits_{k=0}^{r} {{m}\choose{k}} {{n} \choose {r-k}} = {m + n \choose r} \overset{m = 2n}{\iff} \sum\limits_{k=0}^{r} {{2n}\choose{k}}{\color{red}{{n} \choose {r-k}}} = {3n \choose r}$.
- How can I transmogrify $\color{red}{{n} \choose {r-k}}$ into $k$? Does this help me to succeed?
#6: Post edited
Does [$\sum\limits_{k=0}^{n} k\binom{2n}{k} = n2^{2n -1}$](https://math.stackexchange.com/q/3866083) $\overset{?}{\iff} \color{limegreen}{\sum\limits_{k=0}^{r}{ {{m}\choose{k}} { {n} \choose {r-k} } } = {m + n \choose r}}$?If I substitute $m = 2n$ into Vandermonde's Identity, then $\color{limegreen}{\sum\limits_{k=0}^{r}{ {{m}\choose{k}} { {n} \choose {r-k} } } = {m + n \choose r}} \iff \color{limegreen}{\sum\limits_{k=0}^{r}{ {{2n}\choose{k}}{\color{red}{{ {n} \choose {r-k} } }} = {3n \choose r}}$.- How can I transmogrify ${\color{red}{{ {n} \choose {r-k} } }}$ into $k$? Does this make me succeed?
- Does [$\sum\limits_{k=0}^{n} k\binom{2n}{k} = n2^{2n -1}$](https://math.stackexchange.com/q/3866083) $\overset{?}{\iff} \sum\limits_{k=0}^{r}{ {{m}\choose{k}} { {n} \choose {r-k} } } = {m + n \choose r}$?
- If I substitute $m = 2n$ into Vandermonde's Identity, then $\sum\limits_{k=0}^{r}{ {{m}\choose{k}} { {n} \choose {r-k} } } = {m + n \choose r}} \iff \sum\limits_{k=0}^{r}{{2n}\choose{k}}{{n} \choose {r-\color{red}{k}} = {3n \choose r}$.
- How can I transmogrify ${\color{red}{{ {n} \choose {r-k} } }}$ into $k$? Does this make me succeed?
#5: Post edited
$\sum\limits_{k=0}^{k=n} k\binom{2n}{k} = n2^{2n -1} \overset{?}{\iff}$ Vandermonde's Identity?
- $\sum\limits_{k=0}^{n} k\binom{2n}{k} = n2^{2n -1} \overset{?}{\iff}$ Vandermonde's Identity?
Does [$\sum\limits_{k=0}^{k=n} k\binom{2n}{k} = n2^{2n -1}$](https://math.stackexchange.com/q/3866083) $\overset{?}{\iff} \color{limegreen}{\sum\limits_{k=0}^{r}{ {{m}\choose{k}} { {n} \choose {r-k} } } = {m + n \choose r}}$?- If I substitute $m = 2n$ into Vandermonde's Identity, then $\color{limegreen}{\sum\limits_{k=0}^{r}{ {{m}\choose{k}} { {n} \choose {r-k} } } = {m + n \choose r}} \iff \color{limegreen}{\sum\limits_{k=0}^{r}{ {{2n}\choose{k}}{\color{red}{{ {n} \choose {r-k} } }} = {3n \choose r}}$.
- How can I transmogrify ${\color{red}{{ {n} \choose {r-k} } }}$ into $k$? Does this make me succeed?
- Does [$\sum\limits_{k=0}^{n} k\binom{2n}{k} = n2^{2n -1}$](https://math.stackexchange.com/q/3866083) $\overset{?}{\iff} \color{limegreen}{\sum\limits_{k=0}^{r}{ {{m}\choose{k}} { {n} \choose {r-k} } } = {m + n \choose r}}$?
- If I substitute $m = 2n$ into Vandermonde's Identity, then $\color{limegreen}{\sum\limits_{k=0}^{r}{ {{m}\choose{k}} { {n} \choose {r-k} } } = {m + n \choose r}} \iff \color{limegreen}{\sum\limits_{k=0}^{r}{ {{2n}\choose{k}}{\color{red}{{ {n} \choose {r-k} } }} = {3n \choose r}}$.
- How can I transmogrify ${\color{red}{{ {n} \choose {r-k} } }}$ into $k$? Does this make me succeed?
#4: Post edited
Please de-mystify André Nicolas's story proof of $\sum\limits_{k=0}^{n} \frac{\binom{2n-k}{n}}{2^{2n-k}}=1$?
- $\sum\limits_{k=0}^{k=n} k\binom{2n}{k} = n2^{2n -1} \overset{?}{\iff}$ Vandermonde's Identity?
1. What spurred or goaded this change of variable? From starting at $\sum\limits_{k=0}^{n} \frac{\binom{2n-k}{n}}{2^{2n-k}}=1$, I would've never prognosticated letting $k = n - i$!>[[Source](https://math.stackexchange.com/a/508962/949072)]Things may be more clear if we let $k=n-i$. Then our sum (reversed) is$$\sum_{i=0}^n \frac{\binom{n+i}{n}}{2^{n+i}}.$$2. I'm unschooled at algebra with Capital-Sigma Notation. $\sum\limits_{k=0}^{n} \frac{\binom{2n-k}{n}}{2^{2n-k}} \overset{\color{red}{k = n - i}}{\equiv} \sum_\limits{\color{red}{i = n}}^{\color{red}{k+i}} \frac{\binom{\color{red}{n + i}}{n}}{2^{n+i}} $. My bounds of summation don't match!>Imagine tossing a fair coin until we get $n+1$ heads or $n+1$ tails.3. How'd you concoct this story? How would $\sum\limits_{i=0}^n \frac{\binom{n+i}{n}}{2^{n+i}}$ galvanize you to "imagine tossing a fair coin until we get $n + 1$ heads or $n + 1$ tails"? Particularly because $n + 1$ never appears in the summation above!>The number of tosses is $n+i+1$ if (i) we get exactly $n$ heads in the first $n+i$ tosses, and then a head, or (ii) we get $n$ tails in the first $n+i$ tosses and then a tail.>The probability of (i) is $\frac{\binom{n+i}{n}}{2^{n+i}}\cdot \frac{1}{2}$, and the probability of (ii) is the same. **For sure the number of tosses will be one of $n+1$ to $2n+1$. [Boldface mine]**4. I don't understand the last sentence in bold. How does it conclude the proof? Please detail the missing steps?
- Does [$\sum\limits_{k=0}^{k=n} k\binom{2n}{k} = n2^{2n -1}$](https://math.stackexchange.com/q/3866083) $\overset{?}{\iff} \color{limegreen}{\sum\limits_{k=0}^{r}{ {{m}\choose{k}} { {n} \choose {r-k} } } = {m + n \choose r}}$?
- If I substitute $m = 2n$ into Vandermonde's Identity, then $\color{limegreen}{\sum\limits_{k=0}^{r}{ {{m}\choose{k}} { {n} \choose {r-k} } } = {m + n \choose r}} \iff \color{limegreen}{\sum\limits_{k=0}^{r}{ {{2n}\choose{k}}{\color{red}{{ {n} \choose {r-k} } }} = {3n \choose r}}$.
- How can I transmogrify ${\color{red}{{ {n} \choose {r-k} } }}$ into $k$? Does this make me succeed?
#3: Post edited
Please de-mystify André Nicolas's story proof of $\sum_{k=0}^{n} \frac{\binom{2n-k}{n}}{2^{2n-k}}=1$?
- Please de-mystify André Nicolas's story proof of $\sum\limits_{k=0}^{n} \frac{\binom{2n-k}{n}}{2^{2n-k}}=1$?
1. What spurred or goaded this change of variable? From starting at $\sum_{k=0}^{n} \frac{\binom{2n-k}{n}}{2^{2n-k}}=1$, I would've never prognosticated letting $k = n - i$!- >[[Source](https://math.stackexchange.com/a/508962/949072)]
- Things may be more clear if we let $k=n-i$. Then our sum (reversed) is
- $$\sum_{i=0}^n \frac{\binom{n+i}{n}}{2^{n+i}}.$$
2. Again, I'm unschooled at algebra with Capital-Sigma Notation. $\sum_{k=0}^{n} \frac{\binom{2n-k}{n}}{2^{2n-k}} \overset{\color{red}{k = n - i}}{\equiv} \sum_{\color{red}{i = n}}^{\color{red}{k+i}} \frac{\binom{\color{red}{n + i}}{n}}{2^{n+i}} $. My bounds of summation don't match!- >Imagine tossing a fair coin until we get $n+1$ heads or $n+1$ tails.
3. How'd you concoct this story? What in $\sum_{i=0}^n \frac{\binom{n+i}{n}}{2^{n+i}}$ would galvanize you to "imagine tossing a fair coin until we get $n + 1$ heads or $n + 1$ tails"? Particularly because $n + 1$ never appears in the summation above!- >The number of tosses is $n+i+1$ if (i) we get exactly $n$ heads in the first $n+i$ tosses, and then a head, or (ii) we get $n$ tails in the first $n+i$ tosses and then a tail.
- >The probability of (i) is $\frac{\binom{n+i}{n}}{2^{n+i}}\cdot \frac{1}{2}$, and the probability of (ii) is the same. **For sure the number of tosses will be one of $n+1$ to $2n+1$. [Boldface mine]**
- 4. I don't understand the last sentence in bold. How does it conclude the proof? Please detail the missing steps?
- 1. What spurred or goaded this change of variable? From starting at $\sum\limits_{k=0}^{n} \frac{\binom{2n-k}{n}}{2^{2n-k}}=1$, I would've never prognosticated letting $k = n - i$!
- >[[Source](https://math.stackexchange.com/a/508962/949072)]
- Things may be more clear if we let $k=n-i$. Then our sum (reversed) is
- $$\sum_{i=0}^n \frac{\binom{n+i}{n}}{2^{n+i}}.$$
- 2. I'm unschooled at algebra with Capital-Sigma Notation. $\sum\limits_{k=0}^{n} \frac{\binom{2n-k}{n}}{2^{2n-k}} \overset{\color{red}{k = n - i}}{\equiv} \sum_\limits{\color{red}{i = n}}^{\color{red}{k+i}} \frac{\binom{\color{red}{n + i}}{n}}{2^{n+i}} $. My bounds of summation don't match!
- >Imagine tossing a fair coin until we get $n+1$ heads or $n+1$ tails.
- 3. How'd you concoct this story? How would $\sum\limits_{i=0}^n \frac{\binom{n+i}{n}}{2^{n+i}}$ galvanize you to "imagine tossing a fair coin until we get $n + 1$ heads or $n + 1$ tails"? Particularly because $n + 1$ never appears in the summation above!
- >The number of tosses is $n+i+1$ if (i) we get exactly $n$ heads in the first $n+i$ tosses, and then a head, or (ii) we get $n$ tails in the first $n+i$ tosses and then a tail.
- >The probability of (i) is $\frac{\binom{n+i}{n}}{2^{n+i}}\cdot \frac{1}{2}$, and the probability of (ii) is the same. **For sure the number of tosses will be one of $n+1$ to $2n+1$. [Boldface mine]**
- 4. I don't understand the last sentence in bold. How does it conclude the proof? Please detail the missing steps?
#2: Post edited
- 1. What spurred or goaded this change of variable? From starting at $\sum_{k=0}^{n} \frac{\binom{2n-k}{n}}{2^{2n-k}}=1$, I would've never prognosticated letting $k = n - i$!
- >[[Source](https://math.stackexchange.com/a/508962/949072)]
- Things may be more clear if we let $k=n-i$. Then our sum (reversed) is
- $$\sum_{i=0}^n \frac{\binom{n+i}{n}}{2^{n+i}}.$$
- 2. Again, I'm unschooled at algebra with Capital-Sigma Notation. $\sum_{k=0}^{n} \frac{\binom{2n-k}{n}}{2^{2n-k}} \overset{\color{red}{k = n - i}}{\equiv} \sum_{\color{red}{i = n}}^{\color{red}{k+i}} \frac{\binom{\color{red}{n + i}}{n}}{2^{n+i}} $. My bounds of summation don't match!
- >Imagine tossing a fair coin until we get $n+1$ heads or $n+1$ tails.
- 3. How'd you concoct this story? What in $\sum_{i=0}^n \frac{\binom{n+i}{n}}{2^{n+i}}$ would galvanize you to "imagine tossing a fair coin until we get $n + 1$ heads or $n + 1$ tails"? Particularly because $n + 1$ never appears in the summation above!
- >The number of tosses is $n+i+1$ if (i) we get exactly $n$ heads in the first $n+i$ tosses, and then a head, or (ii) we get $n$ tails in the first $n+i$ tosses and then a tail.
- >The probability of (i) is $\frac{\binom{n+i}{n}}{2^{n+i}}\cdot \frac{1}{2}$, and the probability of (ii) is the same. **For sure the number of tosses will be one of $n+1$ to $2n+1$. [Boldface mine]**
4. I don't understand the last sentence in bold. How does it conclude the proof?
- 1. What spurred or goaded this change of variable? From starting at $\sum_{k=0}^{n} \frac{\binom{2n-k}{n}}{2^{2n-k}}=1$, I would've never prognosticated letting $k = n - i$!
- >[[Source](https://math.stackexchange.com/a/508962/949072)]
- Things may be more clear if we let $k=n-i$. Then our sum (reversed) is
- $$\sum_{i=0}^n \frac{\binom{n+i}{n}}{2^{n+i}}.$$
- 2. Again, I'm unschooled at algebra with Capital-Sigma Notation. $\sum_{k=0}^{n} \frac{\binom{2n-k}{n}}{2^{2n-k}} \overset{\color{red}{k = n - i}}{\equiv} \sum_{\color{red}{i = n}}^{\color{red}{k+i}} \frac{\binom{\color{red}{n + i}}{n}}{2^{n+i}} $. My bounds of summation don't match!
- >Imagine tossing a fair coin until we get $n+1$ heads or $n+1$ tails.
- 3. How'd you concoct this story? What in $\sum_{i=0}^n \frac{\binom{n+i}{n}}{2^{n+i}}$ would galvanize you to "imagine tossing a fair coin until we get $n + 1$ heads or $n + 1$ tails"? Particularly because $n + 1$ never appears in the summation above!
- >The number of tosses is $n+i+1$ if (i) we get exactly $n$ heads in the first $n+i$ tosses, and then a head, or (ii) we get $n$ tails in the first $n+i$ tosses and then a tail.
- >The probability of (i) is $\frac{\binom{n+i}{n}}{2^{n+i}}\cdot \frac{1}{2}$, and the probability of (ii) is the same. **For sure the number of tosses will be one of $n+1$ to $2n+1$. [Boldface mine]**
- 4. I don't understand the last sentence in bold. How does it conclude the proof? Please detail the missing steps?
#1: Initial revision
Please de-mystify André Nicolas's story proof of $\sum_{k=0}^{n} \frac{\binom{2n-k}{n}}{2^{2n-k}}=1$?
1. What spurred or goaded this change of variable? From starting at $\sum_{k=0}^{n} \frac{\binom{2n-k}{n}}{2^{2n-k}}=1$, I would've never prognosticated letting $k = n - i$! >[[Source](https://math.stackexchange.com/a/508962/949072)] Things may be more clear if we let $k=n-i$. Then our sum (reversed) is $$\sum_{i=0}^n \frac{\binom{n+i}{n}}{2^{n+i}}.$$ 2. Again, I'm unschooled at algebra with Capital-Sigma Notation. $\sum_{k=0}^{n} \frac{\binom{2n-k}{n}}{2^{2n-k}} \overset{\color{red}{k = n - i}}{\equiv} \sum_{\color{red}{i = n}}^{\color{red}{k+i}} \frac{\binom{\color{red}{n + i}}{n}}{2^{n+i}} $. My bounds of summation don't match! >Imagine tossing a fair coin until we get $n+1$ heads or $n+1$ tails. 3. How'd you concoct this story? What in $\sum_{i=0}^n \frac{\binom{n+i}{n}}{2^{n+i}}$ would galvanize you to "imagine tossing a fair coin until we get $n + 1$ heads or $n + 1$ tails"? Particularly because $n + 1$ never appears in the summation above! >The number of tosses is $n+i+1$ if (i) we get exactly $n$ heads in the first $n+i$ tosses, and then a head, or (ii) we get $n$ tails in the first $n+i$ tosses and then a tail. >The probability of (i) is $\frac{\binom{n+i}{n}}{2^{n+i}}\cdot \frac{1}{2}$, and the probability of (ii) is the same. **For sure the number of tosses will be one of $n+1$ to $2n+1$. [Boldface mine]** 4. I don't understand the last sentence in bold. How does it conclude the proof?