radius of convergence of function defined by alternated addition and multiplication












1












$begingroup$


Starting from $zinmathbb{C}$, define $r(z)$ starting from the initial value $v_{0}=0.0$ and repeat the following iteration from $1,2,ldots$



$$v_{n+1} = begin{cases} v_{n} + frac{z^{n}}{n!} &text{if } 2 notmid n \
v_{n} cdotleft(1-frac{z^{n}}{sinh{n}}right) & text{if } 2 mid n. end{cases} $$

until it converges (I used 40 iterations below, anything much larger and I run into overflow problems)



Is there any good analytic way of getting the radius of convergence for this process? If I had to eyeball it, I'd say $e$:





$[-3,3]times[-3,3]$ on $mathbb{C}$



The phase portrait was generated with mpmath



>>> def r(z):
... v = 0.0
... for n in range(1,40):
... v = v + (z**(2*n-1))/fp.fac(2*n-1)
... v = v * (1 - (z**(2*n))/fp.sinh(2*n))
... return v/abs(v)
fp.cplot(lambda z: r(z), [-3,3], [-3,3], points=100000, file="iter.png", verbose=True)









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$endgroup$












  • $begingroup$
    @RossMillikan: thanks, I am not a number theorist.
    $endgroup$
    – graveolensa
    May 2 '13 at 3:42
















1












$begingroup$


Starting from $zinmathbb{C}$, define $r(z)$ starting from the initial value $v_{0}=0.0$ and repeat the following iteration from $1,2,ldots$



$$v_{n+1} = begin{cases} v_{n} + frac{z^{n}}{n!} &text{if } 2 notmid n \
v_{n} cdotleft(1-frac{z^{n}}{sinh{n}}right) & text{if } 2 mid n. end{cases} $$

until it converges (I used 40 iterations below, anything much larger and I run into overflow problems)



Is there any good analytic way of getting the radius of convergence for this process? If I had to eyeball it, I'd say $e$:





$[-3,3]times[-3,3]$ on $mathbb{C}$



The phase portrait was generated with mpmath



>>> def r(z):
... v = 0.0
... for n in range(1,40):
... v = v + (z**(2*n-1))/fp.fac(2*n-1)
... v = v * (1 - (z**(2*n))/fp.sinh(2*n))
... return v/abs(v)
fp.cplot(lambda z: r(z), [-3,3], [-3,3], points=100000, file="iter.png", verbose=True)









share|cite|improve this question











$endgroup$












  • $begingroup$
    @RossMillikan: thanks, I am not a number theorist.
    $endgroup$
    – graveolensa
    May 2 '13 at 3:42














1












1








1





$begingroup$


Starting from $zinmathbb{C}$, define $r(z)$ starting from the initial value $v_{0}=0.0$ and repeat the following iteration from $1,2,ldots$



$$v_{n+1} = begin{cases} v_{n} + frac{z^{n}}{n!} &text{if } 2 notmid n \
v_{n} cdotleft(1-frac{z^{n}}{sinh{n}}right) & text{if } 2 mid n. end{cases} $$

until it converges (I used 40 iterations below, anything much larger and I run into overflow problems)



Is there any good analytic way of getting the radius of convergence for this process? If I had to eyeball it, I'd say $e$:





$[-3,3]times[-3,3]$ on $mathbb{C}$



The phase portrait was generated with mpmath



>>> def r(z):
... v = 0.0
... for n in range(1,40):
... v = v + (z**(2*n-1))/fp.fac(2*n-1)
... v = v * (1 - (z**(2*n))/fp.sinh(2*n))
... return v/abs(v)
fp.cplot(lambda z: r(z), [-3,3], [-3,3], points=100000, file="iter.png", verbose=True)









share|cite|improve this question











$endgroup$




Starting from $zinmathbb{C}$, define $r(z)$ starting from the initial value $v_{0}=0.0$ and repeat the following iteration from $1,2,ldots$



$$v_{n+1} = begin{cases} v_{n} + frac{z^{n}}{n!} &text{if } 2 notmid n \
v_{n} cdotleft(1-frac{z^{n}}{sinh{n}}right) & text{if } 2 mid n. end{cases} $$

until it converges (I used 40 iterations below, anything much larger and I run into overflow problems)



Is there any good analytic way of getting the radius of convergence for this process? If I had to eyeball it, I'd say $e$:





$[-3,3]times[-3,3]$ on $mathbb{C}$



The phase portrait was generated with mpmath



>>> def r(z):
... v = 0.0
... for n in range(1,40):
... v = v + (z**(2*n-1))/fp.fac(2*n-1)
... v = v * (1 - (z**(2*n))/fp.sinh(2*n))
... return v/abs(v)
fp.cplot(lambda z: r(z), [-3,3], [-3,3], points=100000, file="iter.png", verbose=True)






complex-analysis






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edited Jan 14 at 18:18









Glorfindel

3,41581830




3,41581830










asked May 2 '13 at 3:35









graveolensagraveolensa

3,09711738




3,09711738












  • $begingroup$
    @RossMillikan: thanks, I am not a number theorist.
    $endgroup$
    – graveolensa
    May 2 '13 at 3:42


















  • $begingroup$
    @RossMillikan: thanks, I am not a number theorist.
    $endgroup$
    – graveolensa
    May 2 '13 at 3:42
















$begingroup$
@RossMillikan: thanks, I am not a number theorist.
$endgroup$
– graveolensa
May 2 '13 at 3:42




$begingroup$
@RossMillikan: thanks, I am not a number theorist.
$endgroup$
– graveolensa
May 2 '13 at 3:42










1 Answer
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$begingroup$

$sinh n$ is approximately $e^n/2$ when $n$ is large. So if $|z|>e$, then eventually you are multiplying by huge numbers every even step. That explains the divergence for $|z|>e$ (since the odd steps are adding a total contribution that is bounded for any given $z$).



Similarly, when $|z|<e$, eventally every even step is just multiplying by a number exponentially close to $1$. So that explains the convergence when $|z|<e$.






share|cite|improve this answer









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    $begingroup$

    $sinh n$ is approximately $e^n/2$ when $n$ is large. So if $|z|>e$, then eventually you are multiplying by huge numbers every even step. That explains the divergence for $|z|>e$ (since the odd steps are adding a total contribution that is bounded for any given $z$).



    Similarly, when $|z|<e$, eventally every even step is just multiplying by a number exponentially close to $1$. So that explains the convergence when $|z|<e$.






    share|cite|improve this answer









    $endgroup$


















      1












      $begingroup$

      $sinh n$ is approximately $e^n/2$ when $n$ is large. So if $|z|>e$, then eventually you are multiplying by huge numbers every even step. That explains the divergence for $|z|>e$ (since the odd steps are adding a total contribution that is bounded for any given $z$).



      Similarly, when $|z|<e$, eventally every even step is just multiplying by a number exponentially close to $1$. So that explains the convergence when $|z|<e$.






      share|cite|improve this answer









      $endgroup$
















        1












        1








        1





        $begingroup$

        $sinh n$ is approximately $e^n/2$ when $n$ is large. So if $|z|>e$, then eventually you are multiplying by huge numbers every even step. That explains the divergence for $|z|>e$ (since the odd steps are adding a total contribution that is bounded for any given $z$).



        Similarly, when $|z|<e$, eventally every even step is just multiplying by a number exponentially close to $1$. So that explains the convergence when $|z|<e$.






        share|cite|improve this answer









        $endgroup$



        $sinh n$ is approximately $e^n/2$ when $n$ is large. So if $|z|>e$, then eventually you are multiplying by huge numbers every even step. That explains the divergence for $|z|>e$ (since the odd steps are adding a total contribution that is bounded for any given $z$).



        Similarly, when $|z|<e$, eventally every even step is just multiplying by a number exponentially close to $1$. So that explains the convergence when $|z|<e$.







        share|cite|improve this answer












        share|cite|improve this answer



        share|cite|improve this answer










        answered May 2 '13 at 5:58









        Greg MartinGreg Martin

        36.5k23565




        36.5k23565






























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