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luke naylor latex documents
research
Max Destabilizer Rank
Commits
2f6251d1
Commit
2f6251d1
authored
8 months ago
by
Luke Naylor
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Tweak e_{v,q} lemma/dfn
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740b76c2
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tex/bounds-on-semistabilisers.tex
+12
-7
12 additions, 7 deletions
tex/bounds-on-semistabilisers.tex
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2f6251d1
...
...
@@ -925,21 +925,26 @@ for $d$.
Next, we seek to find a larger
$
\epsilon
$
to use in place of
$
\epsilon
_
v
$
in the
proof of Theorem
\ref
{
thm:rmax
_
with
_
uniform
_
eps
}
:
\begin{lemmadfn}
[
\begin{lemmadfn}
[
%
Finding a better alternative to
$
\epsilon
_
v
$
:
$
\epsilon
_{
v,q
}$
]
\label
{
lemdfn:epsilon
_
q
}
Suppose
$
d
\in
\frac
{
1
}{
\lcm
(
m,
2
n
^
2
)
}
\ZZ
$
satisfies the condition in
eq
n
\ref
{
eqn:positive
_
rad
_
condition
_
in
_
terms
_
of
_
q
_
beta
}
.
Equatio
n
\ref
{
eqn:positive
_
rad
_
condition
_
in
_
terms
_
of
_
q
_
beta
}
.
That is:
\begin{equation*}
\sage
{
positive
_
radius
_
condition
_
with
_
q.subs([q
_
value
_
expr,beta
_
value
_
expr]).factor()
}
\qquad
\text
{
for some integers
}
a
_
v, b
_
q, n
\:\text
{
with
}
(a
_
v, n)=1
\end{equation*}
\noindent
Then we have:
And
$
r
$
satisfies
$
\aa
r
+
\bb
\equiv
0
\pmod
{
n
}$
,
then we have:
\begin{equation}
\label
{
eqn:epsilon
_
q
_
lemma
_
prop
}
...
...
@@ -1021,13 +1026,13 @@ and the final logical equivalence is just a simplification of the expressions.
\nonumber
\end{align}
In our situation, we want to find the least
$
k>
0
$
satisfying
eq
n
\ref
{
eqn:finding
_
better
_
eps
_
problem
}
.
In our situation, we want to find the least
$
k>
0
$
satisfying
Equatio
n
\ref
{
eqn:finding
_
better
_
eps
_
problem
}
.
Since such a
$
k
$
must also satisfy eqn
\ref
{
eqn:better
_
eps
_
problem
_
k
_
mod
_
n
}
,
we can pick the smallest
$
k
_{
q,v
}
\in
\ZZ
_{
>
0
}$
which satisfies this new condition
(a computation only depending on
$
q
$
and
$
\beta
$
, but not
$
r
$
).
We are then guaranteed that
$
k
_{
v,q
}$
is less than any
$
k
$
satisfying
eq
n
\ref
{
eqn:finding
_
better
_
eps
_
problem
}
, giving the first inequality in
eq
n
We are then guaranteed that
$
k
_{
v,q
}$
is less than any
$
k
$
satisfying
Equatio
n
\ref
{
eqn:finding
_
better
_
eps
_
problem
}
, giving the first inequality in
Equatio
n
\ref
{
eqn:epsilon
_
q
_
lemma
_
prop
}
.
Furthermore,
$
k
_{
v,q
}
\geq
1
$
gives the second part of the inequality:
$
\epsilon
_{
v,q
}
\geq\epsilon
_
v
$
, with equality when
$
k
_{
v,q
}
=
1
$
.
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