05/14/2014, 11:42 PM
Ok after spending some time looking at the posts I take back most of my criticism. I did not have much time too think or read about this lately.
Btw sheldon edited his posts a few times, which makes them better naturally.
If we are talking in the context of growth approximation , rather than approximation of exp^[1/2] then it turn out my ideas and sheldons are similar and consistant with eachother and by themselves.
the tommy sheldon conjecture
1/a_n = O( exp(n * (ln^[1/2](n))^B ) )
For some real B > 0.
The conjecture made by sheldon that motivates his use of taking the derivative is true.
Hence h_n is justified.
The main difference between sheldon and me is then that i take ln^[1/2] or its " fake " and sheldon uses the h_n.
Although the h_n is more accurate ( since his derivative was justified ) it does not say how fast h_n " grows ".
So its basicly
ln[1/2](n) VS h_n
( I do not yet understand where his second derivative comes from , is this the same logic that goes from a_n to b_n ?? Also his integrals need more study and/or explaination. Forgive me if im a bit behind )
Some remarks first :
Its not so clear that
growth ( f(x) ) <=> growth ( exp^[1/2] ) <=> growth ( a_n )
is an equivalence relationship.
Just to avoid jumping into conclusions.
More importantly , we have encountered h_n before on this forum !
I do not know exactly where and how but I remember it.
That might be usefull.
Another remark of yet to determine value :
We could use the difference operator too :
a_n < exp( exp^[0.5](t_n) - n t_n )
where t_n is the inverse of exp^[1/2](x) - exp[1/2](x-1).
---
I Consider it important we only looked at
a_n < stuff
But a good boundary means
stuff < a_n < stuff
and the stuff < a_n is not adressed yet ...
---
BUT LETS CONTINUE :
ln[1/2](n) VS h_n
take the inverse on both sides
exp^[1/2](n) VS D exp^[1/2](n)
Now the key is too notice :
(exp^[1/2](n))^(1-o(1)) < D exp^[1/2](n) < (exp^[1/2](n))^(1+o(1))
Hence 50 % of the tommy sheldon conjecture has been proven, more specific :
1/a_n < O( exp(n * (ln^[1/2](n))^(1+o(1)) ) )
( B = 1 for the < part )
...
So it comes down (in part) to finding asymptotics to D exp^[1/2](n).
We know D exp^[1/2](n) = exp^[1/2](n) / ( n^( 1-o(1) ) )
from which the above follows easily.
regards
tommy1729
Btw sheldon edited his posts a few times, which makes them better naturally.
If we are talking in the context of growth approximation , rather than approximation of exp^[1/2] then it turn out my ideas and sheldons are similar and consistant with eachother and by themselves.
the tommy sheldon conjecture
1/a_n = O( exp(n * (ln^[1/2](n))^B ) )
For some real B > 0.
The conjecture made by sheldon that motivates his use of taking the derivative is true.
Hence h_n is justified.
The main difference between sheldon and me is then that i take ln^[1/2] or its " fake " and sheldon uses the h_n.
Although the h_n is more accurate ( since his derivative was justified ) it does not say how fast h_n " grows ".
So its basicly
ln[1/2](n) VS h_n
( I do not yet understand where his second derivative comes from , is this the same logic that goes from a_n to b_n ?? Also his integrals need more study and/or explaination. Forgive me if im a bit behind )
Some remarks first :
Its not so clear that
growth ( f(x) ) <=> growth ( exp^[1/2] ) <=> growth ( a_n )
is an equivalence relationship.
Just to avoid jumping into conclusions.
More importantly , we have encountered h_n before on this forum !
I do not know exactly where and how but I remember it.
That might be usefull.
Another remark of yet to determine value :
We could use the difference operator too :
a_n < exp( exp^[0.5](t_n) - n t_n )
where t_n is the inverse of exp^[1/2](x) - exp[1/2](x-1).
---
I Consider it important we only looked at
a_n < stuff
But a good boundary means
stuff < a_n < stuff
and the stuff < a_n is not adressed yet ...
---
BUT LETS CONTINUE :
ln[1/2](n) VS h_n
take the inverse on both sides
exp^[1/2](n) VS D exp^[1/2](n)
Now the key is too notice :
(exp^[1/2](n))^(1-o(1)) < D exp^[1/2](n) < (exp^[1/2](n))^(1+o(1))
Hence 50 % of the tommy sheldon conjecture has been proven, more specific :
1/a_n < O( exp(n * (ln^[1/2](n))^(1+o(1)) ) )
( B = 1 for the < part )
...
So it comes down (in part) to finding asymptotics to D exp^[1/2](n).
We know D exp^[1/2](n) = exp^[1/2](n) / ( n^( 1-o(1) ) )
from which the above follows easily.
regards
tommy1729

