Communities

Writing
Writing
Codidact Meta
Codidact Meta
The Great Outdoors
The Great Outdoors
Photography & Video
Photography & Video
Scientific Speculation
Scientific Speculation
Cooking
Cooking
Electrical Engineering
Electrical Engineering
Judaism
Judaism
Languages & Linguistics
Languages & Linguistics
Software Development
Software Development
Mathematics
Mathematics
Christianity
Christianity
Code Golf
Code Golf
Music
Music
Physics
Physics
Linux Systems
Linux Systems
Power Users
Power Users
Tabletop RPGs
Tabletop RPGs
Community Proposals
Community Proposals
tag:snake search within a tag
answers:0 unanswered questions
user:xxxx search by author id
score:0.5 posts with 0.5+ score
"snake oil" exact phrase
votes:4 posts with 4+ votes
created:<1w created < 1 week ago
post_type:xxxx type of post
Search help
Notifications
Mark all as read See all your notifications »
Q&A

Post History

#14: Post edited by user avatar DNB‭ · 2021-09-18T06:01:51Z (over 2 years ago)
  • 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 de nition 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, $P(\cap\lim_{i = 5} A_i^C) = \dfrac{114}{377}$.
  • 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 de nition 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 by (deleted user) · 2021-08-11T08:37:15Z (over 2 years ago)
that's lim not limit
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 de nition 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 de nition 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, $P(\cap\lim_{i = 5} A_i^C) = \dfrac{114}{377}$.
#12: Question closed by user avatar Peter Taylor‭ · 2021-08-11T07:20:10Z (over 2 years ago)
#11: Post edited by user avatar DNB‭ · 2021-07-23T07:30:46Z (over 2 years ago)
  • $\sum\limits_{k=0}^{n} k\binom{2n}{k} = n2^{2n -1} \overset{?}{\iff}$ 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 $\sum\limits_i P(A_i^C) - \sum\limits_{i < j} P(A_i^C \cap A_j^C)$? 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 de nition 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 de nition 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, $P(\cap\limits_{i = 5} A_i^C) = \dfrac{114}{377}$.
#10: Post undeleted by user avatar DNB‭ · 2021-07-23T07:29:33Z (over 2 years ago)
#9: Post edited by user avatar DNB‭ · 2021-07-23T07:29:27Z (over 2 years ago)
  • 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 de nition 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, $P(\cap\limits_{i = 5} A_i^C) = \dfrac{114}{377}$.
#8: Post deleted by user avatar DNB‭ · 2021-07-17T05:04:28Z (almost 3 years ago)
#7: Post edited by user avatar DNB‭ · 2021-07-11T19:55:27Z (almost 3 years ago)
  • 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 by user avatar DNB‭ · 2021-07-11T09:10:52Z (almost 3 years ago)
  • 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 by user avatar DNB‭ · 2021-07-11T09:09:01Z (almost 3 years ago)
  • $\sum\limits_{k=0}^{k=n} k\binom{2n}{k} = n2^{2n -1} \overset{?}{\iff}$ 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 by user avatar DNB‭ · 2021-07-11T09:08:13Z (almost 3 years ago)
  • 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 by user avatar DNB‭ · 2021-07-11T06:56:27Z (almost 3 years ago)
  • 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 by user avatar DNB‭ · 2021-07-11T06:43:13Z (almost 3 years ago)
  • 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 by user avatar DNB‭ · 2021-07-11T06:42:50Z (almost 3 years ago)
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?