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Introduction to Computation and complexity
Complexity from the perspective of logical circuits
11 - co-NP and the polynomial hierarchy
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Merel DJ
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Cards (19)
Landscape of complexity classes
A)
EXP
B)
PSPACE
C)
co-NP
D)
NP
E)
P
5
prime
factorization
AKS primality test
a
polynomial-time
alogrithm that decides the langauge
Primes
= {
F
:
F
is a
prime number
} in {
0,1
}*
co-NP
a lanauge is in
co-NP
if its
complement
is
contained
in
NP
co-NP is not the
complement
of the problem class NP ->
nontrivial intersection
THe
intersection
between NP and co-Np contains some languages for which we don't know any
efficient
algorithm
tautologie
1 for all input
x
Tautology
A)
co-NP
B)
co-NP
C)
polynomial-time reduction
D)
=<_p
4
unless NP = co-NP, factoring cannot be NP-complete
NP, co-NP more symmetric
A)
polynomial runtime
B)
polynomial
C)
exists
D)
forall
4
negation of there
exists
-> forall
Problem class sommation_i ^p
A)
exists
B)
forall or exists
C)
parity
3
Problem class
A)
polynomial
B)
forall
2
∑
1
p
\sum_1^p
∑
1
p
= NP
Π
1
p
\Pi_1^p
Π
1
p
= co-NP
∑
0
p
=
\sum_0^p =
∑
0
p
=
Π
0
P
=
\Pi_0^P =
Π
0
P
=
P
Polynomial hierachy
A)
PSPACE
B)
co-NP
C)
NP
D)
P
E)
pip2
F)
sump2
6
Polynomial hierarchy PH
A)
i >= 0
1
for each i >= 1,
sum
and
pi
are distinct
if
sum
and
pi
not distrinct -> polynomial hierarchy collapses to the
i-th
level
If facotring is NP-complete, the nthe polynomial hierarchy collapses to the
first level
(
i=1
)
P
H
=
PH =
P
H
=
∑
1
p
=
\sum_1^p =
∑
1
p
=
N
P
NP
NP