Sum of terms with recurrence relation
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I have the following sequence, where $s$ is some positive multiple of 4:
begin{equation}
L_n = begin{cases}
frac{(s-2)!}{2^{s/4-1}(s/2)!(s/4-1)!}, & text{for $n=1$} \ \
L_{n-1}cdotfrac{2(s/4-n+1)}{s-2n+1}, & text{for $n=2,3,...frac{s}{4}$}
end{cases}
end{equation}
I would like to find the value of $sum_{k=1}^{s/4}L_k$.
So far I have tried factoring, but this can't be done repeatedly in any effective way. I'm mainly stumped by how messy these terms are; simplification just doesn't seem possible. I might be willing to settle for upper and lower bounds, provided that they're better than the trivial ones ($s/4$ times the smallest and biggest terms). Asymptotic results might be ok as well. Or even just a suggestion of a strategy which might work.
This is not a homework problem, so there's no reason to believe that a solution will be simple, unfortunately.
Edit: I'm currently trying to obtain an upper and lower bound by making estimates on the coefficient on $L_{n-1}$. I know that for $n=2$ it's very close to $1/2$, and then decreases to 0 as $n$ gets larger.
combinatorics discrete-mathematics summation recurrence-relations upper-lower-bounds
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up vote
2
down vote
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I have the following sequence, where $s$ is some positive multiple of 4:
begin{equation}
L_n = begin{cases}
frac{(s-2)!}{2^{s/4-1}(s/2)!(s/4-1)!}, & text{for $n=1$} \ \
L_{n-1}cdotfrac{2(s/4-n+1)}{s-2n+1}, & text{for $n=2,3,...frac{s}{4}$}
end{cases}
end{equation}
I would like to find the value of $sum_{k=1}^{s/4}L_k$.
So far I have tried factoring, but this can't be done repeatedly in any effective way. I'm mainly stumped by how messy these terms are; simplification just doesn't seem possible. I might be willing to settle for upper and lower bounds, provided that they're better than the trivial ones ($s/4$ times the smallest and biggest terms). Asymptotic results might be ok as well. Or even just a suggestion of a strategy which might work.
This is not a homework problem, so there's no reason to believe that a solution will be simple, unfortunately.
Edit: I'm currently trying to obtain an upper and lower bound by making estimates on the coefficient on $L_{n-1}$. I know that for $n=2$ it's very close to $1/2$, and then decreases to 0 as $n$ gets larger.
combinatorics discrete-mathematics summation recurrence-relations upper-lower-bounds
1
Is $s$ a multiple of $4$? If not, are you summing to $lfloor{frac s4}rfloor$ and how are you defining $(frac s4)!$?
– Rhys Hughes
Dec 4 at 19:36
Sorry, $s$ is a multiple of 4. I'll edit the question to note that.
– Alex
Dec 4 at 19:37
@RhysHughes I've also made a small edit of the definition of the terms, since I had mislabeled the index variable initially.
– Alex
Dec 5 at 18:45
add a comment |
up vote
2
down vote
favorite
up vote
2
down vote
favorite
I have the following sequence, where $s$ is some positive multiple of 4:
begin{equation}
L_n = begin{cases}
frac{(s-2)!}{2^{s/4-1}(s/2)!(s/4-1)!}, & text{for $n=1$} \ \
L_{n-1}cdotfrac{2(s/4-n+1)}{s-2n+1}, & text{for $n=2,3,...frac{s}{4}$}
end{cases}
end{equation}
I would like to find the value of $sum_{k=1}^{s/4}L_k$.
So far I have tried factoring, but this can't be done repeatedly in any effective way. I'm mainly stumped by how messy these terms are; simplification just doesn't seem possible. I might be willing to settle for upper and lower bounds, provided that they're better than the trivial ones ($s/4$ times the smallest and biggest terms). Asymptotic results might be ok as well. Or even just a suggestion of a strategy which might work.
This is not a homework problem, so there's no reason to believe that a solution will be simple, unfortunately.
Edit: I'm currently trying to obtain an upper and lower bound by making estimates on the coefficient on $L_{n-1}$. I know that for $n=2$ it's very close to $1/2$, and then decreases to 0 as $n$ gets larger.
combinatorics discrete-mathematics summation recurrence-relations upper-lower-bounds
I have the following sequence, where $s$ is some positive multiple of 4:
begin{equation}
L_n = begin{cases}
frac{(s-2)!}{2^{s/4-1}(s/2)!(s/4-1)!}, & text{for $n=1$} \ \
L_{n-1}cdotfrac{2(s/4-n+1)}{s-2n+1}, & text{for $n=2,3,...frac{s}{4}$}
end{cases}
end{equation}
I would like to find the value of $sum_{k=1}^{s/4}L_k$.
So far I have tried factoring, but this can't be done repeatedly in any effective way. I'm mainly stumped by how messy these terms are; simplification just doesn't seem possible. I might be willing to settle for upper and lower bounds, provided that they're better than the trivial ones ($s/4$ times the smallest and biggest terms). Asymptotic results might be ok as well. Or even just a suggestion of a strategy which might work.
This is not a homework problem, so there's no reason to believe that a solution will be simple, unfortunately.
Edit: I'm currently trying to obtain an upper and lower bound by making estimates on the coefficient on $L_{n-1}$. I know that for $n=2$ it's very close to $1/2$, and then decreases to 0 as $n$ gets larger.
combinatorics discrete-mathematics summation recurrence-relations upper-lower-bounds
combinatorics discrete-mathematics summation recurrence-relations upper-lower-bounds
edited Dec 5 at 19:02
asked Dec 4 at 19:25
Alex
673318
673318
1
Is $s$ a multiple of $4$? If not, are you summing to $lfloor{frac s4}rfloor$ and how are you defining $(frac s4)!$?
– Rhys Hughes
Dec 4 at 19:36
Sorry, $s$ is a multiple of 4. I'll edit the question to note that.
– Alex
Dec 4 at 19:37
@RhysHughes I've also made a small edit of the definition of the terms, since I had mislabeled the index variable initially.
– Alex
Dec 5 at 18:45
add a comment |
1
Is $s$ a multiple of $4$? If not, are you summing to $lfloor{frac s4}rfloor$ and how are you defining $(frac s4)!$?
– Rhys Hughes
Dec 4 at 19:36
Sorry, $s$ is a multiple of 4. I'll edit the question to note that.
– Alex
Dec 4 at 19:37
@RhysHughes I've also made a small edit of the definition of the terms, since I had mislabeled the index variable initially.
– Alex
Dec 5 at 18:45
1
1
Is $s$ a multiple of $4$? If not, are you summing to $lfloor{frac s4}rfloor$ and how are you defining $(frac s4)!$?
– Rhys Hughes
Dec 4 at 19:36
Is $s$ a multiple of $4$? If not, are you summing to $lfloor{frac s4}rfloor$ and how are you defining $(frac s4)!$?
– Rhys Hughes
Dec 4 at 19:36
Sorry, $s$ is a multiple of 4. I'll edit the question to note that.
– Alex
Dec 4 at 19:37
Sorry, $s$ is a multiple of 4. I'll edit the question to note that.
– Alex
Dec 4 at 19:37
@RhysHughes I've also made a small edit of the definition of the terms, since I had mislabeled the index variable initially.
– Alex
Dec 5 at 18:45
@RhysHughes I've also made a small edit of the definition of the terms, since I had mislabeled the index variable initially.
– Alex
Dec 5 at 18:45
add a comment |
1 Answer
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For simplicity put $r=s/4$ and $S(r)=sum_{k=1}^r L_k$. For $n=2dots, r$ we have $L_n<frac 12L_{n-1}$, so $L_n$ decreases to zero very quickly (and $L_1<S(r)<2L_1$). Thus a sum of a few first $L_k$ is a good approximation for $S(r)$. A computational evidence suggests that
$$S(r)=L_1left(2-frac 3{2r}+frac 3{4r^2}-frac{T(r)}{r^3}right),$$
with $0le T(r)=O(1)$.
add a comment |
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up vote
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down vote
For simplicity put $r=s/4$ and $S(r)=sum_{k=1}^r L_k$. For $n=2dots, r$ we have $L_n<frac 12L_{n-1}$, so $L_n$ decreases to zero very quickly (and $L_1<S(r)<2L_1$). Thus a sum of a few first $L_k$ is a good approximation for $S(r)$. A computational evidence suggests that
$$S(r)=L_1left(2-frac 3{2r}+frac 3{4r^2}-frac{T(r)}{r^3}right),$$
with $0le T(r)=O(1)$.
add a comment |
up vote
0
down vote
For simplicity put $r=s/4$ and $S(r)=sum_{k=1}^r L_k$. For $n=2dots, r$ we have $L_n<frac 12L_{n-1}$, so $L_n$ decreases to zero very quickly (and $L_1<S(r)<2L_1$). Thus a sum of a few first $L_k$ is a good approximation for $S(r)$. A computational evidence suggests that
$$S(r)=L_1left(2-frac 3{2r}+frac 3{4r^2}-frac{T(r)}{r^3}right),$$
with $0le T(r)=O(1)$.
add a comment |
up vote
0
down vote
up vote
0
down vote
For simplicity put $r=s/4$ and $S(r)=sum_{k=1}^r L_k$. For $n=2dots, r$ we have $L_n<frac 12L_{n-1}$, so $L_n$ decreases to zero very quickly (and $L_1<S(r)<2L_1$). Thus a sum of a few first $L_k$ is a good approximation for $S(r)$. A computational evidence suggests that
$$S(r)=L_1left(2-frac 3{2r}+frac 3{4r^2}-frac{T(r)}{r^3}right),$$
with $0le T(r)=O(1)$.
For simplicity put $r=s/4$ and $S(r)=sum_{k=1}^r L_k$. For $n=2dots, r$ we have $L_n<frac 12L_{n-1}$, so $L_n$ decreases to zero very quickly (and $L_1<S(r)<2L_1$). Thus a sum of a few first $L_k$ is a good approximation for $S(r)$. A computational evidence suggests that
$$S(r)=L_1left(2-frac 3{2r}+frac 3{4r^2}-frac{T(r)}{r^3}right),$$
with $0le T(r)=O(1)$.
answered Dec 10 at 8:39
Alex Ravsky
37.8k32079
37.8k32079
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1
Is $s$ a multiple of $4$? If not, are you summing to $lfloor{frac s4}rfloor$ and how are you defining $(frac s4)!$?
– Rhys Hughes
Dec 4 at 19:36
Sorry, $s$ is a multiple of 4. I'll edit the question to note that.
– Alex
Dec 4 at 19:37
@RhysHughes I've also made a small edit of the definition of the terms, since I had mislabeled the index variable initially.
– Alex
Dec 5 at 18:45