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5.8.2.3 Det n and Perm n have Large Rank
The last step of the proof would be to find an explicit polynomial whose partial
derivative matrix under a random partition has large rank. As earlier, our candidate
polynomial would be Det n or Perm n . Unfortunately, both these polynomials are
over n 2 variables and degree n . It is not hard to verify that the rank of the partial
derivative matrix of Det n or Perm n can never be greater than 2 2 n . Hence directly
using Lemma 32, we would have 2 O ( n ) competing with 2 n 2
n O ( 1 ) which is simply
futile. A simple fix is to first randomly restrict ourselves to fewer variables and then
apply Lemma 32.
Let m
/
2
n 1 / 3 .Let ˄ be a random restriction that assigns random values to all
but 2 m randomly chosen variables. We shall call this set of 2 m variables as X , and
randomly partition this into two sets Y and Z of size m each. Hence, ˄(
=
reduces
to amultilinear polynomial over 2 m variables. It is alsoworth noting that amultilinear
formula remains a multilinear formula under this restriction. The following claim is
easy to verify.
Det n )
Claim 33
With probability at least 1
/
2 , the variables in X belong to distinct rows
and columns.
We shall restrict ourselves to only these random restrictions, and without loss of
generality let the sets be Y
= x 1 , 1 ,
x 2 m 1 , 2 m 1 and Z
= x 2 , 2 ,
x 3 , 3 ,...,
x 4 , 4 ,...,
x 2 m , 2 m . For ease of notation, we shall refer to x 2 i 1 , 2 i 1 as y i and x 2 i , 2 i as z i for
i
=
m .
Consider the following restriction:
1
,...,
y 1 1
1 z 1
. . .
y m 1
1 z m
f
=
Det
1
. . . 1
= (
y 1 z 1
1
)...(
y m z m
1
).
[ Raz ]
Y
2 m . Although this is a single restriction with large
rank, the Schwartz-Zippel-DeMillo-Lipton lemma immediately gives that random
restriction would also have rank 2 m with high probability. 7 We shall record this as a
lemma.
It is easy to check that
(
f
) =
,
Z
7 provided the underlying field is large, but this isn't really a concern as we can work with a large
enough extension if necessary.
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