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.
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.
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.
TheoremTwoLogGain
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LeanPool.NairTenenbaum.DivisorSums.GreatestPrimeFactorExponent
Imported by
NairTenenbaum
.
exists_divisorHit_exponent_margin_lt_one
NairTenenbaum
.
eventually_divisorHit_log_gain
Absorbing the linear mass error and retaining an exponential gain
#
source
theorem
NairTenenbaum
.
exists_divisorHit_exponent_margin_lt_one
{
α
:
ℝ
}
(
hα
:
α
<
2
-
Real.log
4
)
:
∃ (
η
:
ℝ
),
Real.log
4
-
1
<
η
∧
η
<
1
∧
α
<
1
-
η
source
theorem
NairTenenbaum
.
eventually_divisorHit_log_gain
{
β
c
η
B
D
:
ℝ
}
(
hβ
:
0
<
β
)
(
hc
:
0
<
c
)
(
hη
:
η
<
1
)
(
hD
:
0
<
D
)
:
∀ᶠ
(
x
:
ℝ
)
in
Filter.atTop
,
∀ (
H
N
:
ℝ
),
c
*
x
^
β
/
Real.log
x
^
η
≤
H
→
0
<
N
→
N
≤
2
*
x
^
β
→
B
*
x
^
β
≤
H
*
Real.log
(
x
^
β
)
/
2
∧
c
*
β
/
(
4
*
D
)
*
Real.log
x
^
(
1
-
η
)
≤
H
*
Real.log
(
x
^
β
)
/
(
2
*
(
D
*
N
))