Prove that $sum_{k=0}^{m}frac{binom{m}{k}}{binom{n}{k}}=frac{n+1}{n+1-m}$
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Prove that $sum_{k=0}^{m}dfrac{binom{m}{k}}{binom{n}{k}}=dfrac{n+1}{n+1-m}$.
We know, n > m. From the right side. we have $dfrac{n+1}{n+1-m}=dfrac{1}{1-dfrac{m}{n+1}}$. since n > m. $0<dfrac{m}{n+1}<1$. Then
$dfrac{1}{1-dfrac{m}{n+1}}=1+dfrac{m}{n+1}+(dfrac{m}{n+1})^2+...$
I don't know what to do next? Did I choose the right path?
combinatorics summation binomial-coefficients
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add a comment |
$begingroup$
Prove that $sum_{k=0}^{m}dfrac{binom{m}{k}}{binom{n}{k}}=dfrac{n+1}{n+1-m}$.
We know, n > m. From the right side. we have $dfrac{n+1}{n+1-m}=dfrac{1}{1-dfrac{m}{n+1}}$. since n > m. $0<dfrac{m}{n+1}<1$. Then
$dfrac{1}{1-dfrac{m}{n+1}}=1+dfrac{m}{n+1}+(dfrac{m}{n+1})^2+...$
I don't know what to do next? Did I choose the right path?
combinatorics summation binomial-coefficients
$endgroup$
1
$begingroup$
Since the sum $1+dfrac{m}{n+1}+left(dfrac{m}{n+1}right)^2+...$ has infinite terms and the left hand side of your original equation has only finite terms, there is no hope equating the two, term by term. Do you have any other strategy?
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– Isomorphism
Oct 18 '13 at 6:00
1
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If $m > n$, then the left hand side is infinite, since the denominator of the last $m - n$ terms becomes $0$.
$endgroup$
– Lucian
Oct 18 '13 at 6:17
add a comment |
$begingroup$
Prove that $sum_{k=0}^{m}dfrac{binom{m}{k}}{binom{n}{k}}=dfrac{n+1}{n+1-m}$.
We know, n > m. From the right side. we have $dfrac{n+1}{n+1-m}=dfrac{1}{1-dfrac{m}{n+1}}$. since n > m. $0<dfrac{m}{n+1}<1$. Then
$dfrac{1}{1-dfrac{m}{n+1}}=1+dfrac{m}{n+1}+(dfrac{m}{n+1})^2+...$
I don't know what to do next? Did I choose the right path?
combinatorics summation binomial-coefficients
$endgroup$
Prove that $sum_{k=0}^{m}dfrac{binom{m}{k}}{binom{n}{k}}=dfrac{n+1}{n+1-m}$.
We know, n > m. From the right side. we have $dfrac{n+1}{n+1-m}=dfrac{1}{1-dfrac{m}{n+1}}$. since n > m. $0<dfrac{m}{n+1}<1$. Then
$dfrac{1}{1-dfrac{m}{n+1}}=1+dfrac{m}{n+1}+(dfrac{m}{n+1})^2+...$
I don't know what to do next? Did I choose the right path?
combinatorics summation binomial-coefficients
combinatorics summation binomial-coefficients
edited Jan 14 at 15:15


Martin Sleziak
44.7k10118272
44.7k10118272
asked Oct 18 '13 at 5:49
jin hajin ha
1216
1216
1
$begingroup$
Since the sum $1+dfrac{m}{n+1}+left(dfrac{m}{n+1}right)^2+...$ has infinite terms and the left hand side of your original equation has only finite terms, there is no hope equating the two, term by term. Do you have any other strategy?
$endgroup$
– Isomorphism
Oct 18 '13 at 6:00
1
$begingroup$
If $m > n$, then the left hand side is infinite, since the denominator of the last $m - n$ terms becomes $0$.
$endgroup$
– Lucian
Oct 18 '13 at 6:17
add a comment |
1
$begingroup$
Since the sum $1+dfrac{m}{n+1}+left(dfrac{m}{n+1}right)^2+...$ has infinite terms and the left hand side of your original equation has only finite terms, there is no hope equating the two, term by term. Do you have any other strategy?
$endgroup$
– Isomorphism
Oct 18 '13 at 6:00
1
$begingroup$
If $m > n$, then the left hand side is infinite, since the denominator of the last $m - n$ terms becomes $0$.
$endgroup$
– Lucian
Oct 18 '13 at 6:17
1
1
$begingroup$
Since the sum $1+dfrac{m}{n+1}+left(dfrac{m}{n+1}right)^2+...$ has infinite terms and the left hand side of your original equation has only finite terms, there is no hope equating the two, term by term. Do you have any other strategy?
$endgroup$
– Isomorphism
Oct 18 '13 at 6:00
$begingroup$
Since the sum $1+dfrac{m}{n+1}+left(dfrac{m}{n+1}right)^2+...$ has infinite terms and the left hand side of your original equation has only finite terms, there is no hope equating the two, term by term. Do you have any other strategy?
$endgroup$
– Isomorphism
Oct 18 '13 at 6:00
1
1
$begingroup$
If $m > n$, then the left hand side is infinite, since the denominator of the last $m - n$ terms becomes $0$.
$endgroup$
– Lucian
Oct 18 '13 at 6:17
$begingroup$
If $m > n$, then the left hand side is infinite, since the denominator of the last $m - n$ terms becomes $0$.
$endgroup$
– Lucian
Oct 18 '13 at 6:17
add a comment |
3 Answers
3
active
oldest
votes
$begingroup$
Here's a probabilistic proof.
We have $n$ balls in a bag, $m$ are white, $r=n-m$ are red. We do the following experiment: we draw a random integer $k$, uniformly distributed in $0 dots n$, and then we pick randomly $k$ balls (without replacement). Let $W$ be the event that all balls are white (more precisely, that no ball is red).
Then $$P(W |k) = frac{{m choose k}}{{n choose k}} [kle m]$$
and
$$P(W) = sum_{k} P(W |k) P(k) =frac{1}{n+1} sum_{k=0}^m frac{{m choose k}}{{n choose k}} tag{1} $$
Alternatively, our experiment is equivalent to: produce a random permutation of the $n$ balls, then check if the first $k$ balls ($k$ drawn as before) are white. Which is the same as saying: place a random bar in between the $n$ balls ($n+1$ positions) and check if it falls before the first red ball. Which is the same as thinking the bar as a new additional red ball, and looking if this one is the first red ball among the total $r+1$ red balls. Then
$$P(W)=frac{1}{r+1}=frac{1}{n-m+1} tag{2}$$
Equating (1) and (2) we get the desired result.
A similar alternative combinatorial way: We have $n+1$ balls, $m$ white, $r=n-m$ red, and one orange, otherwise undistinguishable. Let's $C$ count the number of ways of placing the balls in $n+1$ cells (numbered from $0$ to $n$) so that no red ball is before the orange one.
Summing over all the positions of the orange ball, we have
$$C= sum_{k=0}^m {n-k choose m-k} ={n choose m}sum_{k=0}^m frac{{m choose k}}{{n choose k}} tag{3}$$
(for last equality see Isomorphism's answer).
On the other side, we can consider the orange-red balls as a group (considering the orange distinguishable and placing it first, is the same as condiring the group undistinguishable), which gives ${n+1 choose m}$ arrangements. Hence
$$C={n+1 choose m} ={n choose m} frac{n+1}{n-m+1} tag{4}$$
(again, for last equality see Isomorphism's answer).
Equating (3) and (4) we get the desired result.
$endgroup$
$begingroup$
This is a great proof! In the final displayed equation, $n-1$ should be $n+1$, no? It's just a typo, not a mathematical error.
$endgroup$
– Steve Kass
Oct 19 '13 at 1:59
$begingroup$
Typo fixed, thanks!
$endgroup$
– leonbloy
Oct 19 '13 at 2:13
add a comment |
$begingroup$
You can solve your problem by following these steps:
1) First show that $$ dfrac{binom{m}{k}}{binom{n}{k}} = dfrac{binom{n-k}{m-k}}{binom{n}{m}}.$$
2) Now show that $$ binom{n}{m}cdotdfrac{n+1}{n+1-m} = binom{n+1}{m}.$$
3) Use steps 1 and 2 to prove that the equation you require is equivalent to proving
$$ sum_{k=0}^mbinom{n-k}{m-k} = binom{n+1}{m}.$$
4)Now prove the relation: $$ sum_{k=0}^mbinom{n-k}{m-k} = binom{n+1}{m}.$$
4a) You can prove this relation in various ways. One of them is to write $binom{n-m}{0}$ as $binom{n-m+1}{0}$ and then repeatedly use the relation $binom{x}{r}+binom{x}{r-1} = binom{x+1}{r}$. Another method is induction.
Best of luck!
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add a comment |
$begingroup$
Using the Heaviside Method for Partial Fractions, we get
$$
begin{align}
sum_{k=0}^mfrac{binom{m}{k}}{binom{n}{k}}
&=1+sum_{k=1}^mfrac{m(m-1)(m-2)dots(m-k+1)}{n(n-1)(n-2)dots(n-k+1)}tag{1}\
&=1+msum_{k=1}^msum_{j=0}^{k-1}frac{(-1)^{k-j-1}binom{m-1}{k-1}binom{k-1}{j}}{n-j}tag{2}\
&=1+msum_{k=1}^msum_{j=0}^{k-1}frac{(-1)^{k-j-1}binom{m-1}{j}binom{m-j-1}{k-j-1}}{n-j}tag{3}\
&=1+msum_{j=0}^{m-1}sum_{k=j+1}^mfrac{(-1)^{k-j-1}binom{m-1}{j}binom{m-j-1}{k-j-1}}{n-j}tag{4}\[6pt]
&=1+frac{m}{n-m+1}tag{5}\[6pt]
&=frac{n+1}{n-m+1}tag{6}
end{align}
$$
Explanation:
$(1)$: break out the $k=0$ term and expand numerator and denominator
$(2)$: apply the Heaviside Method to the fraction in the sum
$(3)$: $binom{m-1}{k-1}binom{k-1}{j}=binom{m-1}{j}binom{m-j-1}{k-j-1}$
$(4)$: switch the order of summation
$(5)$: $sumlimits_{k=j+1}^m(-1)^{k-j-1}binom{m-j-1}{k-j-1}=0^{m-j-1}=big[j=m-1big]$
$(6)$: addition
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add a comment |
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3 Answers
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3 Answers
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$begingroup$
Here's a probabilistic proof.
We have $n$ balls in a bag, $m$ are white, $r=n-m$ are red. We do the following experiment: we draw a random integer $k$, uniformly distributed in $0 dots n$, and then we pick randomly $k$ balls (without replacement). Let $W$ be the event that all balls are white (more precisely, that no ball is red).
Then $$P(W |k) = frac{{m choose k}}{{n choose k}} [kle m]$$
and
$$P(W) = sum_{k} P(W |k) P(k) =frac{1}{n+1} sum_{k=0}^m frac{{m choose k}}{{n choose k}} tag{1} $$
Alternatively, our experiment is equivalent to: produce a random permutation of the $n$ balls, then check if the first $k$ balls ($k$ drawn as before) are white. Which is the same as saying: place a random bar in between the $n$ balls ($n+1$ positions) and check if it falls before the first red ball. Which is the same as thinking the bar as a new additional red ball, and looking if this one is the first red ball among the total $r+1$ red balls. Then
$$P(W)=frac{1}{r+1}=frac{1}{n-m+1} tag{2}$$
Equating (1) and (2) we get the desired result.
A similar alternative combinatorial way: We have $n+1$ balls, $m$ white, $r=n-m$ red, and one orange, otherwise undistinguishable. Let's $C$ count the number of ways of placing the balls in $n+1$ cells (numbered from $0$ to $n$) so that no red ball is before the orange one.
Summing over all the positions of the orange ball, we have
$$C= sum_{k=0}^m {n-k choose m-k} ={n choose m}sum_{k=0}^m frac{{m choose k}}{{n choose k}} tag{3}$$
(for last equality see Isomorphism's answer).
On the other side, we can consider the orange-red balls as a group (considering the orange distinguishable and placing it first, is the same as condiring the group undistinguishable), which gives ${n+1 choose m}$ arrangements. Hence
$$C={n+1 choose m} ={n choose m} frac{n+1}{n-m+1} tag{4}$$
(again, for last equality see Isomorphism's answer).
Equating (3) and (4) we get the desired result.
$endgroup$
$begingroup$
This is a great proof! In the final displayed equation, $n-1$ should be $n+1$, no? It's just a typo, not a mathematical error.
$endgroup$
– Steve Kass
Oct 19 '13 at 1:59
$begingroup$
Typo fixed, thanks!
$endgroup$
– leonbloy
Oct 19 '13 at 2:13
add a comment |
$begingroup$
Here's a probabilistic proof.
We have $n$ balls in a bag, $m$ are white, $r=n-m$ are red. We do the following experiment: we draw a random integer $k$, uniformly distributed in $0 dots n$, and then we pick randomly $k$ balls (without replacement). Let $W$ be the event that all balls are white (more precisely, that no ball is red).
Then $$P(W |k) = frac{{m choose k}}{{n choose k}} [kle m]$$
and
$$P(W) = sum_{k} P(W |k) P(k) =frac{1}{n+1} sum_{k=0}^m frac{{m choose k}}{{n choose k}} tag{1} $$
Alternatively, our experiment is equivalent to: produce a random permutation of the $n$ balls, then check if the first $k$ balls ($k$ drawn as before) are white. Which is the same as saying: place a random bar in between the $n$ balls ($n+1$ positions) and check if it falls before the first red ball. Which is the same as thinking the bar as a new additional red ball, and looking if this one is the first red ball among the total $r+1$ red balls. Then
$$P(W)=frac{1}{r+1}=frac{1}{n-m+1} tag{2}$$
Equating (1) and (2) we get the desired result.
A similar alternative combinatorial way: We have $n+1$ balls, $m$ white, $r=n-m$ red, and one orange, otherwise undistinguishable. Let's $C$ count the number of ways of placing the balls in $n+1$ cells (numbered from $0$ to $n$) so that no red ball is before the orange one.
Summing over all the positions of the orange ball, we have
$$C= sum_{k=0}^m {n-k choose m-k} ={n choose m}sum_{k=0}^m frac{{m choose k}}{{n choose k}} tag{3}$$
(for last equality see Isomorphism's answer).
On the other side, we can consider the orange-red balls as a group (considering the orange distinguishable and placing it first, is the same as condiring the group undistinguishable), which gives ${n+1 choose m}$ arrangements. Hence
$$C={n+1 choose m} ={n choose m} frac{n+1}{n-m+1} tag{4}$$
(again, for last equality see Isomorphism's answer).
Equating (3) and (4) we get the desired result.
$endgroup$
$begingroup$
This is a great proof! In the final displayed equation, $n-1$ should be $n+1$, no? It's just a typo, not a mathematical error.
$endgroup$
– Steve Kass
Oct 19 '13 at 1:59
$begingroup$
Typo fixed, thanks!
$endgroup$
– leonbloy
Oct 19 '13 at 2:13
add a comment |
$begingroup$
Here's a probabilistic proof.
We have $n$ balls in a bag, $m$ are white, $r=n-m$ are red. We do the following experiment: we draw a random integer $k$, uniformly distributed in $0 dots n$, and then we pick randomly $k$ balls (without replacement). Let $W$ be the event that all balls are white (more precisely, that no ball is red).
Then $$P(W |k) = frac{{m choose k}}{{n choose k}} [kle m]$$
and
$$P(W) = sum_{k} P(W |k) P(k) =frac{1}{n+1} sum_{k=0}^m frac{{m choose k}}{{n choose k}} tag{1} $$
Alternatively, our experiment is equivalent to: produce a random permutation of the $n$ balls, then check if the first $k$ balls ($k$ drawn as before) are white. Which is the same as saying: place a random bar in between the $n$ balls ($n+1$ positions) and check if it falls before the first red ball. Which is the same as thinking the bar as a new additional red ball, and looking if this one is the first red ball among the total $r+1$ red balls. Then
$$P(W)=frac{1}{r+1}=frac{1}{n-m+1} tag{2}$$
Equating (1) and (2) we get the desired result.
A similar alternative combinatorial way: We have $n+1$ balls, $m$ white, $r=n-m$ red, and one orange, otherwise undistinguishable. Let's $C$ count the number of ways of placing the balls in $n+1$ cells (numbered from $0$ to $n$) so that no red ball is before the orange one.
Summing over all the positions of the orange ball, we have
$$C= sum_{k=0}^m {n-k choose m-k} ={n choose m}sum_{k=0}^m frac{{m choose k}}{{n choose k}} tag{3}$$
(for last equality see Isomorphism's answer).
On the other side, we can consider the orange-red balls as a group (considering the orange distinguishable and placing it first, is the same as condiring the group undistinguishable), which gives ${n+1 choose m}$ arrangements. Hence
$$C={n+1 choose m} ={n choose m} frac{n+1}{n-m+1} tag{4}$$
(again, for last equality see Isomorphism's answer).
Equating (3) and (4) we get the desired result.
$endgroup$
Here's a probabilistic proof.
We have $n$ balls in a bag, $m$ are white, $r=n-m$ are red. We do the following experiment: we draw a random integer $k$, uniformly distributed in $0 dots n$, and then we pick randomly $k$ balls (without replacement). Let $W$ be the event that all balls are white (more precisely, that no ball is red).
Then $$P(W |k) = frac{{m choose k}}{{n choose k}} [kle m]$$
and
$$P(W) = sum_{k} P(W |k) P(k) =frac{1}{n+1} sum_{k=0}^m frac{{m choose k}}{{n choose k}} tag{1} $$
Alternatively, our experiment is equivalent to: produce a random permutation of the $n$ balls, then check if the first $k$ balls ($k$ drawn as before) are white. Which is the same as saying: place a random bar in between the $n$ balls ($n+1$ positions) and check if it falls before the first red ball. Which is the same as thinking the bar as a new additional red ball, and looking if this one is the first red ball among the total $r+1$ red balls. Then
$$P(W)=frac{1}{r+1}=frac{1}{n-m+1} tag{2}$$
Equating (1) and (2) we get the desired result.
A similar alternative combinatorial way: We have $n+1$ balls, $m$ white, $r=n-m$ red, and one orange, otherwise undistinguishable. Let's $C$ count the number of ways of placing the balls in $n+1$ cells (numbered from $0$ to $n$) so that no red ball is before the orange one.
Summing over all the positions of the orange ball, we have
$$C= sum_{k=0}^m {n-k choose m-k} ={n choose m}sum_{k=0}^m frac{{m choose k}}{{n choose k}} tag{3}$$
(for last equality see Isomorphism's answer).
On the other side, we can consider the orange-red balls as a group (considering the orange distinguishable and placing it first, is the same as condiring the group undistinguishable), which gives ${n+1 choose m}$ arrangements. Hence
$$C={n+1 choose m} ={n choose m} frac{n+1}{n-m+1} tag{4}$$
(again, for last equality see Isomorphism's answer).
Equating (3) and (4) we get the desired result.
edited Oct 20 '13 at 21:02
answered Oct 19 '13 at 1:28
leonbloyleonbloy
41.1k645107
41.1k645107
$begingroup$
This is a great proof! In the final displayed equation, $n-1$ should be $n+1$, no? It's just a typo, not a mathematical error.
$endgroup$
– Steve Kass
Oct 19 '13 at 1:59
$begingroup$
Typo fixed, thanks!
$endgroup$
– leonbloy
Oct 19 '13 at 2:13
add a comment |
$begingroup$
This is a great proof! In the final displayed equation, $n-1$ should be $n+1$, no? It's just a typo, not a mathematical error.
$endgroup$
– Steve Kass
Oct 19 '13 at 1:59
$begingroup$
Typo fixed, thanks!
$endgroup$
– leonbloy
Oct 19 '13 at 2:13
$begingroup$
This is a great proof! In the final displayed equation, $n-1$ should be $n+1$, no? It's just a typo, not a mathematical error.
$endgroup$
– Steve Kass
Oct 19 '13 at 1:59
$begingroup$
This is a great proof! In the final displayed equation, $n-1$ should be $n+1$, no? It's just a typo, not a mathematical error.
$endgroup$
– Steve Kass
Oct 19 '13 at 1:59
$begingroup$
Typo fixed, thanks!
$endgroup$
– leonbloy
Oct 19 '13 at 2:13
$begingroup$
Typo fixed, thanks!
$endgroup$
– leonbloy
Oct 19 '13 at 2:13
add a comment |
$begingroup$
You can solve your problem by following these steps:
1) First show that $$ dfrac{binom{m}{k}}{binom{n}{k}} = dfrac{binom{n-k}{m-k}}{binom{n}{m}}.$$
2) Now show that $$ binom{n}{m}cdotdfrac{n+1}{n+1-m} = binom{n+1}{m}.$$
3) Use steps 1 and 2 to prove that the equation you require is equivalent to proving
$$ sum_{k=0}^mbinom{n-k}{m-k} = binom{n+1}{m}.$$
4)Now prove the relation: $$ sum_{k=0}^mbinom{n-k}{m-k} = binom{n+1}{m}.$$
4a) You can prove this relation in various ways. One of them is to write $binom{n-m}{0}$ as $binom{n-m+1}{0}$ and then repeatedly use the relation $binom{x}{r}+binom{x}{r-1} = binom{x+1}{r}$. Another method is induction.
Best of luck!
$endgroup$
add a comment |
$begingroup$
You can solve your problem by following these steps:
1) First show that $$ dfrac{binom{m}{k}}{binom{n}{k}} = dfrac{binom{n-k}{m-k}}{binom{n}{m}}.$$
2) Now show that $$ binom{n}{m}cdotdfrac{n+1}{n+1-m} = binom{n+1}{m}.$$
3) Use steps 1 and 2 to prove that the equation you require is equivalent to proving
$$ sum_{k=0}^mbinom{n-k}{m-k} = binom{n+1}{m}.$$
4)Now prove the relation: $$ sum_{k=0}^mbinom{n-k}{m-k} = binom{n+1}{m}.$$
4a) You can prove this relation in various ways. One of them is to write $binom{n-m}{0}$ as $binom{n-m+1}{0}$ and then repeatedly use the relation $binom{x}{r}+binom{x}{r-1} = binom{x+1}{r}$. Another method is induction.
Best of luck!
$endgroup$
add a comment |
$begingroup$
You can solve your problem by following these steps:
1) First show that $$ dfrac{binom{m}{k}}{binom{n}{k}} = dfrac{binom{n-k}{m-k}}{binom{n}{m}}.$$
2) Now show that $$ binom{n}{m}cdotdfrac{n+1}{n+1-m} = binom{n+1}{m}.$$
3) Use steps 1 and 2 to prove that the equation you require is equivalent to proving
$$ sum_{k=0}^mbinom{n-k}{m-k} = binom{n+1}{m}.$$
4)Now prove the relation: $$ sum_{k=0}^mbinom{n-k}{m-k} = binom{n+1}{m}.$$
4a) You can prove this relation in various ways. One of them is to write $binom{n-m}{0}$ as $binom{n-m+1}{0}$ and then repeatedly use the relation $binom{x}{r}+binom{x}{r-1} = binom{x+1}{r}$. Another method is induction.
Best of luck!
$endgroup$
You can solve your problem by following these steps:
1) First show that $$ dfrac{binom{m}{k}}{binom{n}{k}} = dfrac{binom{n-k}{m-k}}{binom{n}{m}}.$$
2) Now show that $$ binom{n}{m}cdotdfrac{n+1}{n+1-m} = binom{n+1}{m}.$$
3) Use steps 1 and 2 to prove that the equation you require is equivalent to proving
$$ sum_{k=0}^mbinom{n-k}{m-k} = binom{n+1}{m}.$$
4)Now prove the relation: $$ sum_{k=0}^mbinom{n-k}{m-k} = binom{n+1}{m}.$$
4a) You can prove this relation in various ways. One of them is to write $binom{n-m}{0}$ as $binom{n-m+1}{0}$ and then repeatedly use the relation $binom{x}{r}+binom{x}{r-1} = binom{x+1}{r}$. Another method is induction.
Best of luck!
answered Oct 18 '13 at 6:12
IsomorphismIsomorphism
3,1421439
3,1421439
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$begingroup$
Using the Heaviside Method for Partial Fractions, we get
$$
begin{align}
sum_{k=0}^mfrac{binom{m}{k}}{binom{n}{k}}
&=1+sum_{k=1}^mfrac{m(m-1)(m-2)dots(m-k+1)}{n(n-1)(n-2)dots(n-k+1)}tag{1}\
&=1+msum_{k=1}^msum_{j=0}^{k-1}frac{(-1)^{k-j-1}binom{m-1}{k-1}binom{k-1}{j}}{n-j}tag{2}\
&=1+msum_{k=1}^msum_{j=0}^{k-1}frac{(-1)^{k-j-1}binom{m-1}{j}binom{m-j-1}{k-j-1}}{n-j}tag{3}\
&=1+msum_{j=0}^{m-1}sum_{k=j+1}^mfrac{(-1)^{k-j-1}binom{m-1}{j}binom{m-j-1}{k-j-1}}{n-j}tag{4}\[6pt]
&=1+frac{m}{n-m+1}tag{5}\[6pt]
&=frac{n+1}{n-m+1}tag{6}
end{align}
$$
Explanation:
$(1)$: break out the $k=0$ term and expand numerator and denominator
$(2)$: apply the Heaviside Method to the fraction in the sum
$(3)$: $binom{m-1}{k-1}binom{k-1}{j}=binom{m-1}{j}binom{m-j-1}{k-j-1}$
$(4)$: switch the order of summation
$(5)$: $sumlimits_{k=j+1}^m(-1)^{k-j-1}binom{m-j-1}{k-j-1}=0^{m-j-1}=big[j=m-1big]$
$(6)$: addition
$endgroup$
add a comment |
$begingroup$
Using the Heaviside Method for Partial Fractions, we get
$$
begin{align}
sum_{k=0}^mfrac{binom{m}{k}}{binom{n}{k}}
&=1+sum_{k=1}^mfrac{m(m-1)(m-2)dots(m-k+1)}{n(n-1)(n-2)dots(n-k+1)}tag{1}\
&=1+msum_{k=1}^msum_{j=0}^{k-1}frac{(-1)^{k-j-1}binom{m-1}{k-1}binom{k-1}{j}}{n-j}tag{2}\
&=1+msum_{k=1}^msum_{j=0}^{k-1}frac{(-1)^{k-j-1}binom{m-1}{j}binom{m-j-1}{k-j-1}}{n-j}tag{3}\
&=1+msum_{j=0}^{m-1}sum_{k=j+1}^mfrac{(-1)^{k-j-1}binom{m-1}{j}binom{m-j-1}{k-j-1}}{n-j}tag{4}\[6pt]
&=1+frac{m}{n-m+1}tag{5}\[6pt]
&=frac{n+1}{n-m+1}tag{6}
end{align}
$$
Explanation:
$(1)$: break out the $k=0$ term and expand numerator and denominator
$(2)$: apply the Heaviside Method to the fraction in the sum
$(3)$: $binom{m-1}{k-1}binom{k-1}{j}=binom{m-1}{j}binom{m-j-1}{k-j-1}$
$(4)$: switch the order of summation
$(5)$: $sumlimits_{k=j+1}^m(-1)^{k-j-1}binom{m-j-1}{k-j-1}=0^{m-j-1}=big[j=m-1big]$
$(6)$: addition
$endgroup$
add a comment |
$begingroup$
Using the Heaviside Method for Partial Fractions, we get
$$
begin{align}
sum_{k=0}^mfrac{binom{m}{k}}{binom{n}{k}}
&=1+sum_{k=1}^mfrac{m(m-1)(m-2)dots(m-k+1)}{n(n-1)(n-2)dots(n-k+1)}tag{1}\
&=1+msum_{k=1}^msum_{j=0}^{k-1}frac{(-1)^{k-j-1}binom{m-1}{k-1}binom{k-1}{j}}{n-j}tag{2}\
&=1+msum_{k=1}^msum_{j=0}^{k-1}frac{(-1)^{k-j-1}binom{m-1}{j}binom{m-j-1}{k-j-1}}{n-j}tag{3}\
&=1+msum_{j=0}^{m-1}sum_{k=j+1}^mfrac{(-1)^{k-j-1}binom{m-1}{j}binom{m-j-1}{k-j-1}}{n-j}tag{4}\[6pt]
&=1+frac{m}{n-m+1}tag{5}\[6pt]
&=frac{n+1}{n-m+1}tag{6}
end{align}
$$
Explanation:
$(1)$: break out the $k=0$ term and expand numerator and denominator
$(2)$: apply the Heaviside Method to the fraction in the sum
$(3)$: $binom{m-1}{k-1}binom{k-1}{j}=binom{m-1}{j}binom{m-j-1}{k-j-1}$
$(4)$: switch the order of summation
$(5)$: $sumlimits_{k=j+1}^m(-1)^{k-j-1}binom{m-j-1}{k-j-1}=0^{m-j-1}=big[j=m-1big]$
$(6)$: addition
$endgroup$
Using the Heaviside Method for Partial Fractions, we get
$$
begin{align}
sum_{k=0}^mfrac{binom{m}{k}}{binom{n}{k}}
&=1+sum_{k=1}^mfrac{m(m-1)(m-2)dots(m-k+1)}{n(n-1)(n-2)dots(n-k+1)}tag{1}\
&=1+msum_{k=1}^msum_{j=0}^{k-1}frac{(-1)^{k-j-1}binom{m-1}{k-1}binom{k-1}{j}}{n-j}tag{2}\
&=1+msum_{k=1}^msum_{j=0}^{k-1}frac{(-1)^{k-j-1}binom{m-1}{j}binom{m-j-1}{k-j-1}}{n-j}tag{3}\
&=1+msum_{j=0}^{m-1}sum_{k=j+1}^mfrac{(-1)^{k-j-1}binom{m-1}{j}binom{m-j-1}{k-j-1}}{n-j}tag{4}\[6pt]
&=1+frac{m}{n-m+1}tag{5}\[6pt]
&=frac{n+1}{n-m+1}tag{6}
end{align}
$$
Explanation:
$(1)$: break out the $k=0$ term and expand numerator and denominator
$(2)$: apply the Heaviside Method to the fraction in the sum
$(3)$: $binom{m-1}{k-1}binom{k-1}{j}=binom{m-1}{j}binom{m-j-1}{k-j-1}$
$(4)$: switch the order of summation
$(5)$: $sumlimits_{k=j+1}^m(-1)^{k-j-1}binom{m-j-1}{k-j-1}=0^{m-j-1}=big[j=m-1big]$
$(6)$: addition
edited Oct 19 '13 at 0:13
answered Oct 18 '13 at 7:31
robjohn♦robjohn
268k27308633
268k27308633
add a comment |
add a comment |
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$begingroup$
Since the sum $1+dfrac{m}{n+1}+left(dfrac{m}{n+1}right)^2+...$ has infinite terms and the left hand side of your original equation has only finite terms, there is no hope equating the two, term by term. Do you have any other strategy?
$endgroup$
– Isomorphism
Oct 18 '13 at 6:00
1
$begingroup$
If $m > n$, then the left hand side is infinite, since the denominator of the last $m - n$ terms becomes $0$.
$endgroup$
– Lucian
Oct 18 '13 at 6:17