How to simplify or upperbound this summation?

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I am not a mathematician, so sorry for this trivial question. Is there a way to simplify or to upperbound the following summation:



$$ sum_i=1^nexpleft(-fraci^2sigma^2right).$$



Can I use geometric series?



EDIT: I have difficulty because of the power $2$, i.e if the summation would be $ sumlimits_i=1^nexpleft(-fracisigma^2right) $ then it would be easy to apply geometric series!










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    Don't be sorry for the question! The only way to get better as mathematician is to ask questions. (See also the first annotation to this post)
    – Jacob Manaker
    5 hours ago






  • 1




    Seems that you could try the integral $int_0^infty exp(-x^2),mathrm dx$ to bound that.
    – xbh
    5 hours ago














up vote
5
down vote

favorite
1












I am not a mathematician, so sorry for this trivial question. Is there a way to simplify or to upperbound the following summation:



$$ sum_i=1^nexpleft(-fraci^2sigma^2right).$$



Can I use geometric series?



EDIT: I have difficulty because of the power $2$, i.e if the summation would be $ sumlimits_i=1^nexpleft(-fracisigma^2right) $ then it would be easy to apply geometric series!










share|cite|improve this question



















  • 1




    Don't be sorry for the question! The only way to get better as mathematician is to ask questions. (See also the first annotation to this post)
    – Jacob Manaker
    5 hours ago






  • 1




    Seems that you could try the integral $int_0^infty exp(-x^2),mathrm dx$ to bound that.
    – xbh
    5 hours ago












up vote
5
down vote

favorite
1









up vote
5
down vote

favorite
1






1





I am not a mathematician, so sorry for this trivial question. Is there a way to simplify or to upperbound the following summation:



$$ sum_i=1^nexpleft(-fraci^2sigma^2right).$$



Can I use geometric series?



EDIT: I have difficulty because of the power $2$, i.e if the summation would be $ sumlimits_i=1^nexpleft(-fracisigma^2right) $ then it would be easy to apply geometric series!










share|cite|improve this question















I am not a mathematician, so sorry for this trivial question. Is there a way to simplify or to upperbound the following summation:



$$ sum_i=1^nexpleft(-fraci^2sigma^2right).$$



Can I use geometric series?



EDIT: I have difficulty because of the power $2$, i.e if the summation would be $ sumlimits_i=1^nexpleft(-fracisigma^2right) $ then it would be easy to apply geometric series!







sequences-and-series geometric-series






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edited 7 mins ago









Jim

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1147










asked 5 hours ago









user8003788

263




263







  • 1




    Don't be sorry for the question! The only way to get better as mathematician is to ask questions. (See also the first annotation to this post)
    – Jacob Manaker
    5 hours ago






  • 1




    Seems that you could try the integral $int_0^infty exp(-x^2),mathrm dx$ to bound that.
    – xbh
    5 hours ago












  • 1




    Don't be sorry for the question! The only way to get better as mathematician is to ask questions. (See also the first annotation to this post)
    – Jacob Manaker
    5 hours ago






  • 1




    Seems that you could try the integral $int_0^infty exp(-x^2),mathrm dx$ to bound that.
    – xbh
    5 hours ago







1




1




Don't be sorry for the question! The only way to get better as mathematician is to ask questions. (See also the first annotation to this post)
– Jacob Manaker
5 hours ago




Don't be sorry for the question! The only way to get better as mathematician is to ask questions. (See also the first annotation to this post)
– Jacob Manaker
5 hours ago




1




1




Seems that you could try the integral $int_0^infty exp(-x^2),mathrm dx$ to bound that.
– xbh
5 hours ago




Seems that you could try the integral $int_0^infty exp(-x^2),mathrm dx$ to bound that.
– xbh
5 hours ago










3 Answers
3






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up vote
7
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Alternative:



Since $f(x) = exp(-x^2/sigma^2) searrow 0$, we can write
$
DeclareMathOperatordiff,d!
$
beginalign*
&sum_1^n expleft(-frac j^2sigma^2right) \
&= sum_1^n int_j-1^j expleft(-frac j^2sigma^2right)diff x \
&leqslant sum_1^n int_j-1^j expleft(-frac x^2sigma^2right) diff x \
&=sigma int_0^n expleft(-frac x^2sigma^2right) diff left(frac x sigma right)\
&= sigma int_0^n/sigma exp(-x^2)diff x\
&leqslant sigma int_0^+inftyexp(-x^2)diff x\
&= frac sigma 2 sqrt pi
endalign*






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  • 1




    Nicely done! Sometimes simplest is best.
    – Jacob Manaker
    3 hours ago

















up vote
5
down vote













TL;DR: three relatively easy bounds are the numbered equations below.



You cannot directly apply the formula for the geometric series for the reason mentioned in your edit. But note that $igeq1$, so we have $$sum_i=1^nexpleft(-fraci^2sigma^2right)leqsum_i=1^nexpleft(-fracicdot1sigma^2right)$$ The latter, of course, is a geometric sum. Taking the sum over all $i$ (including $i=0$), we get $$(1-e^-sigma^-2)^-1 tag1 labeleqn:first$$ The calculation for finitely many terms isn't much harder, and only differs by an exponentially decreasing factor.



If this isn't a strong enough bound, there are other techniques. If $n<sigma$, then we can get very far elementarily. Note that $e^xgeq x+1$; dividing each side, we get $$e^-xleq(1+x)^-1=sum_k=0^infty(-x)^k$$ if $|x|<1$. Taking $x=left(fracisigmaright)^2$, we thus obtain beginalign*
sum_i=1^ne^-fraci^2sigma^2&leqsum_i=1^nsum_k=0^inftyleft(-left(fracisigmaright)^2right)^k \
&=sum_k=0^infty(-1)^ksum_i=1^nleft(fracisigmaright)^2k tag* labeleqn:star
endalign*



(We can interchange sums because one is finite.) Now, for all $k$, the function $left(fraccdotsigmaright)^2k$ is increasing on $[0,infty)$; we thus have $$int_0^nleft(fracisigmaright)^2k,dileqsum_i=1^nleft(fracisigmaright)^2kleqleft(fracnsigmaright)^2k+int_1^nleft(fracisigmaright)^2k,di$$ Evaluating the integrals and simplifying, we have $$0leqsum_i=1^nleft(fracisigmaright)^2k-fracn2k+1left(fracnsigmaright)^2kleqleft(fracnsigmaright)^2kleft(1-frac1(2k+1)n^2kright)$$



Substituting into $eqrefeqn:star$, we get beginalign*
sum_i=1^ne^-fraci^2sigma^2&leqsum_k=0^inftyfrac(-1)^kn2k+1left(fracnsigmaright)^2k-sum_j=0^inftyleft(fracnsigmaright)^4j+2left(1-frac1(4j+3)n^4j+2right) \
&leqsum_k=0^inftyfrac(-1)^kn2k+1left(fracnsigmaright)^2k-sum_j=0^inftyleft(fracnsigmaright)^4j+2 \
&=sigmatan^-1left(fracnsigmaright)-fracleft(fracnsigmaright)^21-left(fracnsigmaright)^4hspace4em(n<sigma) tag2
endalign*



Finally, for the general case we can achieve a slight improvement on $eqrefeqn:first$ via the theory of majorization. $x_i_i=1^nmapstosum_i=1^nexpleft(-fracx_isigma^2right)$ is convex and symmetric in its arguments, hence Schur-convex. Let $b_i=i^2$ and $a_i=left(frac2n-13right)i$. Clearly, for all $mleq n$, we have $$sum_i=1^ma_i=fracm(m-1)2cdotfrac2n-13geqfracm(m-1)(2m-1)6=sum_i=1^mb_i$$ with equality if $m=n$. Thus $veca$ majorizes $vecb$, so beginalign*
sum_i=1^nexpleft(-fraci^2sigma^2right)&=sum_i=1^nexpleft(-fracb_isigma^2right) \
&leqsum_i=1^nexpleft(-fraca_isigma^2right) \
&=sum_i=1^nexpleft(-frac(2n-1)i3sigma^2right) \
&leqsum_i=0^inftyexpleft(-frac(2n-1)i3sigma^2right) \
&leqleft(1-expleft(frac2n-13sigma^2right)right)^-1 tag3
endalign*






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    There's a rather trivial upper bound that $frac-i^2sigma^2$ is negative, so exponentiating it results in a number less than 1, so the sum is at most $n$. If you want a constant upper bound, you can upper bound it with the geometric series.






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      3 Answers
      3






      active

      oldest

      votes








      3 Answers
      3






      active

      oldest

      votes









      active

      oldest

      votes






      active

      oldest

      votes








      up vote
      7
      down vote













      Alternative:



      Since $f(x) = exp(-x^2/sigma^2) searrow 0$, we can write
      $
      DeclareMathOperatordiff,d!
      $
      beginalign*
      &sum_1^n expleft(-frac j^2sigma^2right) \
      &= sum_1^n int_j-1^j expleft(-frac j^2sigma^2right)diff x \
      &leqslant sum_1^n int_j-1^j expleft(-frac x^2sigma^2right) diff x \
      &=sigma int_0^n expleft(-frac x^2sigma^2right) diff left(frac x sigma right)\
      &= sigma int_0^n/sigma exp(-x^2)diff x\
      &leqslant sigma int_0^+inftyexp(-x^2)diff x\
      &= frac sigma 2 sqrt pi
      endalign*






      share|cite|improve this answer
















      • 1




        Nicely done! Sometimes simplest is best.
        – Jacob Manaker
        3 hours ago














      up vote
      7
      down vote













      Alternative:



      Since $f(x) = exp(-x^2/sigma^2) searrow 0$, we can write
      $
      DeclareMathOperatordiff,d!
      $
      beginalign*
      &sum_1^n expleft(-frac j^2sigma^2right) \
      &= sum_1^n int_j-1^j expleft(-frac j^2sigma^2right)diff x \
      &leqslant sum_1^n int_j-1^j expleft(-frac x^2sigma^2right) diff x \
      &=sigma int_0^n expleft(-frac x^2sigma^2right) diff left(frac x sigma right)\
      &= sigma int_0^n/sigma exp(-x^2)diff x\
      &leqslant sigma int_0^+inftyexp(-x^2)diff x\
      &= frac sigma 2 sqrt pi
      endalign*






      share|cite|improve this answer
















      • 1




        Nicely done! Sometimes simplest is best.
        – Jacob Manaker
        3 hours ago












      up vote
      7
      down vote










      up vote
      7
      down vote









      Alternative:



      Since $f(x) = exp(-x^2/sigma^2) searrow 0$, we can write
      $
      DeclareMathOperatordiff,d!
      $
      beginalign*
      &sum_1^n expleft(-frac j^2sigma^2right) \
      &= sum_1^n int_j-1^j expleft(-frac j^2sigma^2right)diff x \
      &leqslant sum_1^n int_j-1^j expleft(-frac x^2sigma^2right) diff x \
      &=sigma int_0^n expleft(-frac x^2sigma^2right) diff left(frac x sigma right)\
      &= sigma int_0^n/sigma exp(-x^2)diff x\
      &leqslant sigma int_0^+inftyexp(-x^2)diff x\
      &= frac sigma 2 sqrt pi
      endalign*






      share|cite|improve this answer












      Alternative:



      Since $f(x) = exp(-x^2/sigma^2) searrow 0$, we can write
      $
      DeclareMathOperatordiff,d!
      $
      beginalign*
      &sum_1^n expleft(-frac j^2sigma^2right) \
      &= sum_1^n int_j-1^j expleft(-frac j^2sigma^2right)diff x \
      &leqslant sum_1^n int_j-1^j expleft(-frac x^2sigma^2right) diff x \
      &=sigma int_0^n expleft(-frac x^2sigma^2right) diff left(frac x sigma right)\
      &= sigma int_0^n/sigma exp(-x^2)diff x\
      &leqslant sigma int_0^+inftyexp(-x^2)diff x\
      &= frac sigma 2 sqrt pi
      endalign*







      share|cite|improve this answer












      share|cite|improve this answer



      share|cite|improve this answer










      answered 4 hours ago









      xbh

      3,625320




      3,625320







      • 1




        Nicely done! Sometimes simplest is best.
        – Jacob Manaker
        3 hours ago












      • 1




        Nicely done! Sometimes simplest is best.
        – Jacob Manaker
        3 hours ago







      1




      1




      Nicely done! Sometimes simplest is best.
      – Jacob Manaker
      3 hours ago




      Nicely done! Sometimes simplest is best.
      – Jacob Manaker
      3 hours ago










      up vote
      5
      down vote













      TL;DR: three relatively easy bounds are the numbered equations below.



      You cannot directly apply the formula for the geometric series for the reason mentioned in your edit. But note that $igeq1$, so we have $$sum_i=1^nexpleft(-fraci^2sigma^2right)leqsum_i=1^nexpleft(-fracicdot1sigma^2right)$$ The latter, of course, is a geometric sum. Taking the sum over all $i$ (including $i=0$), we get $$(1-e^-sigma^-2)^-1 tag1 labeleqn:first$$ The calculation for finitely many terms isn't much harder, and only differs by an exponentially decreasing factor.



      If this isn't a strong enough bound, there are other techniques. If $n<sigma$, then we can get very far elementarily. Note that $e^xgeq x+1$; dividing each side, we get $$e^-xleq(1+x)^-1=sum_k=0^infty(-x)^k$$ if $|x|<1$. Taking $x=left(fracisigmaright)^2$, we thus obtain beginalign*
      sum_i=1^ne^-fraci^2sigma^2&leqsum_i=1^nsum_k=0^inftyleft(-left(fracisigmaright)^2right)^k \
      &=sum_k=0^infty(-1)^ksum_i=1^nleft(fracisigmaright)^2k tag* labeleqn:star
      endalign*



      (We can interchange sums because one is finite.) Now, for all $k$, the function $left(fraccdotsigmaright)^2k$ is increasing on $[0,infty)$; we thus have $$int_0^nleft(fracisigmaright)^2k,dileqsum_i=1^nleft(fracisigmaright)^2kleqleft(fracnsigmaright)^2k+int_1^nleft(fracisigmaright)^2k,di$$ Evaluating the integrals and simplifying, we have $$0leqsum_i=1^nleft(fracisigmaright)^2k-fracn2k+1left(fracnsigmaright)^2kleqleft(fracnsigmaright)^2kleft(1-frac1(2k+1)n^2kright)$$



      Substituting into $eqrefeqn:star$, we get beginalign*
      sum_i=1^ne^-fraci^2sigma^2&leqsum_k=0^inftyfrac(-1)^kn2k+1left(fracnsigmaright)^2k-sum_j=0^inftyleft(fracnsigmaright)^4j+2left(1-frac1(4j+3)n^4j+2right) \
      &leqsum_k=0^inftyfrac(-1)^kn2k+1left(fracnsigmaright)^2k-sum_j=0^inftyleft(fracnsigmaright)^4j+2 \
      &=sigmatan^-1left(fracnsigmaright)-fracleft(fracnsigmaright)^21-left(fracnsigmaright)^4hspace4em(n<sigma) tag2
      endalign*



      Finally, for the general case we can achieve a slight improvement on $eqrefeqn:first$ via the theory of majorization. $x_i_i=1^nmapstosum_i=1^nexpleft(-fracx_isigma^2right)$ is convex and symmetric in its arguments, hence Schur-convex. Let $b_i=i^2$ and $a_i=left(frac2n-13right)i$. Clearly, for all $mleq n$, we have $$sum_i=1^ma_i=fracm(m-1)2cdotfrac2n-13geqfracm(m-1)(2m-1)6=sum_i=1^mb_i$$ with equality if $m=n$. Thus $veca$ majorizes $vecb$, so beginalign*
      sum_i=1^nexpleft(-fraci^2sigma^2right)&=sum_i=1^nexpleft(-fracb_isigma^2right) \
      &leqsum_i=1^nexpleft(-fraca_isigma^2right) \
      &=sum_i=1^nexpleft(-frac(2n-1)i3sigma^2right) \
      &leqsum_i=0^inftyexpleft(-frac(2n-1)i3sigma^2right) \
      &leqleft(1-expleft(frac2n-13sigma^2right)right)^-1 tag3
      endalign*






      share|cite|improve this answer


























        up vote
        5
        down vote













        TL;DR: three relatively easy bounds are the numbered equations below.



        You cannot directly apply the formula for the geometric series for the reason mentioned in your edit. But note that $igeq1$, so we have $$sum_i=1^nexpleft(-fraci^2sigma^2right)leqsum_i=1^nexpleft(-fracicdot1sigma^2right)$$ The latter, of course, is a geometric sum. Taking the sum over all $i$ (including $i=0$), we get $$(1-e^-sigma^-2)^-1 tag1 labeleqn:first$$ The calculation for finitely many terms isn't much harder, and only differs by an exponentially decreasing factor.



        If this isn't a strong enough bound, there are other techniques. If $n<sigma$, then we can get very far elementarily. Note that $e^xgeq x+1$; dividing each side, we get $$e^-xleq(1+x)^-1=sum_k=0^infty(-x)^k$$ if $|x|<1$. Taking $x=left(fracisigmaright)^2$, we thus obtain beginalign*
        sum_i=1^ne^-fraci^2sigma^2&leqsum_i=1^nsum_k=0^inftyleft(-left(fracisigmaright)^2right)^k \
        &=sum_k=0^infty(-1)^ksum_i=1^nleft(fracisigmaright)^2k tag* labeleqn:star
        endalign*



        (We can interchange sums because one is finite.) Now, for all $k$, the function $left(fraccdotsigmaright)^2k$ is increasing on $[0,infty)$; we thus have $$int_0^nleft(fracisigmaright)^2k,dileqsum_i=1^nleft(fracisigmaright)^2kleqleft(fracnsigmaright)^2k+int_1^nleft(fracisigmaright)^2k,di$$ Evaluating the integrals and simplifying, we have $$0leqsum_i=1^nleft(fracisigmaright)^2k-fracn2k+1left(fracnsigmaright)^2kleqleft(fracnsigmaright)^2kleft(1-frac1(2k+1)n^2kright)$$



        Substituting into $eqrefeqn:star$, we get beginalign*
        sum_i=1^ne^-fraci^2sigma^2&leqsum_k=0^inftyfrac(-1)^kn2k+1left(fracnsigmaright)^2k-sum_j=0^inftyleft(fracnsigmaright)^4j+2left(1-frac1(4j+3)n^4j+2right) \
        &leqsum_k=0^inftyfrac(-1)^kn2k+1left(fracnsigmaright)^2k-sum_j=0^inftyleft(fracnsigmaright)^4j+2 \
        &=sigmatan^-1left(fracnsigmaright)-fracleft(fracnsigmaright)^21-left(fracnsigmaright)^4hspace4em(n<sigma) tag2
        endalign*



        Finally, for the general case we can achieve a slight improvement on $eqrefeqn:first$ via the theory of majorization. $x_i_i=1^nmapstosum_i=1^nexpleft(-fracx_isigma^2right)$ is convex and symmetric in its arguments, hence Schur-convex. Let $b_i=i^2$ and $a_i=left(frac2n-13right)i$. Clearly, for all $mleq n$, we have $$sum_i=1^ma_i=fracm(m-1)2cdotfrac2n-13geqfracm(m-1)(2m-1)6=sum_i=1^mb_i$$ with equality if $m=n$. Thus $veca$ majorizes $vecb$, so beginalign*
        sum_i=1^nexpleft(-fraci^2sigma^2right)&=sum_i=1^nexpleft(-fracb_isigma^2right) \
        &leqsum_i=1^nexpleft(-fraca_isigma^2right) \
        &=sum_i=1^nexpleft(-frac(2n-1)i3sigma^2right) \
        &leqsum_i=0^inftyexpleft(-frac(2n-1)i3sigma^2right) \
        &leqleft(1-expleft(frac2n-13sigma^2right)right)^-1 tag3
        endalign*






        share|cite|improve this answer
























          up vote
          5
          down vote










          up vote
          5
          down vote









          TL;DR: three relatively easy bounds are the numbered equations below.



          You cannot directly apply the formula for the geometric series for the reason mentioned in your edit. But note that $igeq1$, so we have $$sum_i=1^nexpleft(-fraci^2sigma^2right)leqsum_i=1^nexpleft(-fracicdot1sigma^2right)$$ The latter, of course, is a geometric sum. Taking the sum over all $i$ (including $i=0$), we get $$(1-e^-sigma^-2)^-1 tag1 labeleqn:first$$ The calculation for finitely many terms isn't much harder, and only differs by an exponentially decreasing factor.



          If this isn't a strong enough bound, there are other techniques. If $n<sigma$, then we can get very far elementarily. Note that $e^xgeq x+1$; dividing each side, we get $$e^-xleq(1+x)^-1=sum_k=0^infty(-x)^k$$ if $|x|<1$. Taking $x=left(fracisigmaright)^2$, we thus obtain beginalign*
          sum_i=1^ne^-fraci^2sigma^2&leqsum_i=1^nsum_k=0^inftyleft(-left(fracisigmaright)^2right)^k \
          &=sum_k=0^infty(-1)^ksum_i=1^nleft(fracisigmaright)^2k tag* labeleqn:star
          endalign*



          (We can interchange sums because one is finite.) Now, for all $k$, the function $left(fraccdotsigmaright)^2k$ is increasing on $[0,infty)$; we thus have $$int_0^nleft(fracisigmaright)^2k,dileqsum_i=1^nleft(fracisigmaright)^2kleqleft(fracnsigmaright)^2k+int_1^nleft(fracisigmaright)^2k,di$$ Evaluating the integrals and simplifying, we have $$0leqsum_i=1^nleft(fracisigmaright)^2k-fracn2k+1left(fracnsigmaright)^2kleqleft(fracnsigmaright)^2kleft(1-frac1(2k+1)n^2kright)$$



          Substituting into $eqrefeqn:star$, we get beginalign*
          sum_i=1^ne^-fraci^2sigma^2&leqsum_k=0^inftyfrac(-1)^kn2k+1left(fracnsigmaright)^2k-sum_j=0^inftyleft(fracnsigmaright)^4j+2left(1-frac1(4j+3)n^4j+2right) \
          &leqsum_k=0^inftyfrac(-1)^kn2k+1left(fracnsigmaright)^2k-sum_j=0^inftyleft(fracnsigmaright)^4j+2 \
          &=sigmatan^-1left(fracnsigmaright)-fracleft(fracnsigmaright)^21-left(fracnsigmaright)^4hspace4em(n<sigma) tag2
          endalign*



          Finally, for the general case we can achieve a slight improvement on $eqrefeqn:first$ via the theory of majorization. $x_i_i=1^nmapstosum_i=1^nexpleft(-fracx_isigma^2right)$ is convex and symmetric in its arguments, hence Schur-convex. Let $b_i=i^2$ and $a_i=left(frac2n-13right)i$. Clearly, for all $mleq n$, we have $$sum_i=1^ma_i=fracm(m-1)2cdotfrac2n-13geqfracm(m-1)(2m-1)6=sum_i=1^mb_i$$ with equality if $m=n$. Thus $veca$ majorizes $vecb$, so beginalign*
          sum_i=1^nexpleft(-fraci^2sigma^2right)&=sum_i=1^nexpleft(-fracb_isigma^2right) \
          &leqsum_i=1^nexpleft(-fraca_isigma^2right) \
          &=sum_i=1^nexpleft(-frac(2n-1)i3sigma^2right) \
          &leqsum_i=0^inftyexpleft(-frac(2n-1)i3sigma^2right) \
          &leqleft(1-expleft(frac2n-13sigma^2right)right)^-1 tag3
          endalign*






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          TL;DR: three relatively easy bounds are the numbered equations below.



          You cannot directly apply the formula for the geometric series for the reason mentioned in your edit. But note that $igeq1$, so we have $$sum_i=1^nexpleft(-fraci^2sigma^2right)leqsum_i=1^nexpleft(-fracicdot1sigma^2right)$$ The latter, of course, is a geometric sum. Taking the sum over all $i$ (including $i=0$), we get $$(1-e^-sigma^-2)^-1 tag1 labeleqn:first$$ The calculation for finitely many terms isn't much harder, and only differs by an exponentially decreasing factor.



          If this isn't a strong enough bound, there are other techniques. If $n<sigma$, then we can get very far elementarily. Note that $e^xgeq x+1$; dividing each side, we get $$e^-xleq(1+x)^-1=sum_k=0^infty(-x)^k$$ if $|x|<1$. Taking $x=left(fracisigmaright)^2$, we thus obtain beginalign*
          sum_i=1^ne^-fraci^2sigma^2&leqsum_i=1^nsum_k=0^inftyleft(-left(fracisigmaright)^2right)^k \
          &=sum_k=0^infty(-1)^ksum_i=1^nleft(fracisigmaright)^2k tag* labeleqn:star
          endalign*



          (We can interchange sums because one is finite.) Now, for all $k$, the function $left(fraccdotsigmaright)^2k$ is increasing on $[0,infty)$; we thus have $$int_0^nleft(fracisigmaright)^2k,dileqsum_i=1^nleft(fracisigmaright)^2kleqleft(fracnsigmaright)^2k+int_1^nleft(fracisigmaright)^2k,di$$ Evaluating the integrals and simplifying, we have $$0leqsum_i=1^nleft(fracisigmaright)^2k-fracn2k+1left(fracnsigmaright)^2kleqleft(fracnsigmaright)^2kleft(1-frac1(2k+1)n^2kright)$$



          Substituting into $eqrefeqn:star$, we get beginalign*
          sum_i=1^ne^-fraci^2sigma^2&leqsum_k=0^inftyfrac(-1)^kn2k+1left(fracnsigmaright)^2k-sum_j=0^inftyleft(fracnsigmaright)^4j+2left(1-frac1(4j+3)n^4j+2right) \
          &leqsum_k=0^inftyfrac(-1)^kn2k+1left(fracnsigmaright)^2k-sum_j=0^inftyleft(fracnsigmaright)^4j+2 \
          &=sigmatan^-1left(fracnsigmaright)-fracleft(fracnsigmaright)^21-left(fracnsigmaright)^4hspace4em(n<sigma) tag2
          endalign*



          Finally, for the general case we can achieve a slight improvement on $eqrefeqn:first$ via the theory of majorization. $x_i_i=1^nmapstosum_i=1^nexpleft(-fracx_isigma^2right)$ is convex and symmetric in its arguments, hence Schur-convex. Let $b_i=i^2$ and $a_i=left(frac2n-13right)i$. Clearly, for all $mleq n$, we have $$sum_i=1^ma_i=fracm(m-1)2cdotfrac2n-13geqfracm(m-1)(2m-1)6=sum_i=1^mb_i$$ with equality if $m=n$. Thus $veca$ majorizes $vecb$, so beginalign*
          sum_i=1^nexpleft(-fraci^2sigma^2right)&=sum_i=1^nexpleft(-fracb_isigma^2right) \
          &leqsum_i=1^nexpleft(-fraca_isigma^2right) \
          &=sum_i=1^nexpleft(-frac(2n-1)i3sigma^2right) \
          &leqsum_i=0^inftyexpleft(-frac(2n-1)i3sigma^2right) \
          &leqleft(1-expleft(frac2n-13sigma^2right)right)^-1 tag3
          endalign*







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          edited 3 hours ago

























          answered 5 hours ago









          Jacob Manaker

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              There's a rather trivial upper bound that $frac-i^2sigma^2$ is negative, so exponentiating it results in a number less than 1, so the sum is at most $n$. If you want a constant upper bound, you can upper bound it with the geometric series.






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                There's a rather trivial upper bound that $frac-i^2sigma^2$ is negative, so exponentiating it results in a number less than 1, so the sum is at most $n$. If you want a constant upper bound, you can upper bound it with the geometric series.






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                  up vote
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                  up vote
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                  down vote









                  There's a rather trivial upper bound that $frac-i^2sigma^2$ is negative, so exponentiating it results in a number less than 1, so the sum is at most $n$. If you want a constant upper bound, you can upper bound it with the geometric series.






                  share|cite|improve this answer












                  There's a rather trivial upper bound that $frac-i^2sigma^2$ is negative, so exponentiating it results in a number less than 1, so the sum is at most $n$. If you want a constant upper bound, you can upper bound it with the geometric series.







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                  answered 21 mins ago









                  Acccumulation

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