text stringlengths 0 8.13M |
|---|
erties, and u will always denote one of the bit size norms. G¨odel’s numbering (2) |
| | |
for N N shows that that such is still closed with respect to finite products. (No- |
× C |
tice however that the beautiful numbering (3) of N∗ using primes is not polynomial |
time computable; it may be replaced by another one which is in PF). |
1.6. P/NP problem. By definition, a subset E U belongs to the class P |
⊂ |
iff its characteristic function χ (equal to 1 on E and 0 outside) belongs to the |
E |
class PF. Furthermore, E U belongs to the class NP iff there exists a subset |
∈ |
E′ U V belonging to P and a polynomial G such that |
⊂ × |
′ |
u E (u,v) E with v G( u ). |
∈ ⇐⇒ ∃ ∈ | | ≤ | | |
Here V is another world (which may coincide with U). We will say that E is |
obtained from E′ by a polynomially truncated projection. |
The discussion above establishes in what sense this definition is model indepen- |
dent. |
Clearly, P NP. The inverse inclusion is highly problematic. A naive algorithm |
⊂ |
calculating χ E from χ E′ by searching for v with v G( u ) and χ E′(u,v) = 1 |
| | ≤ | | |
will take exponential time e.g. when there is no such v (because u is a bit size |
| | |
function). Of course, if one can treat all such v in parallell, the required timewill be |
polynomial. Or else, if an oracle tells you that u E and supplies an appropriate v, |
∈ |
you can convince yourself that this is indeed so in polynomial time, by computing |
χ (u,v) = 1. |
E′ |
Notice that the enumerable sets can be alternatively described as projections of |
decidable ones, and that in this context projection does create undecidable sets. |
12 |
Nobody was able to translate the diagonalization argument used to establish this |
to the P/NP domain. M. Freedman ([Fr2]) suggested an exciting new approach |
to the problem P = NP(?), based upon a modification of Gromov’s strategy for |
6 |
describing groups of polynomial growth. |
It has long been known that this problem can be reduced to checking whether |
some very particular sets – NP–complete ones – belong to P. The set E U is |
⊂ |
called NP–complete if, for any other set D V,D NP, there exists a function |
⊂ ∈ |
f : V U,f PF, such that D = f−1(E), that is, χ (v) = χ (f(v)). We will |
D E |
→ ∈ |
sketch the classical argument (due to S. Cooke, L. Levin, R. Karp) showing the |
existence of NP–complete sets. In fact, the reasoning is constructive: it furnishes |
a polynomially computable map producing f from the descriptions of χ E′ and of |
the truncating polynomial G. |
In order to describe one NP–complete problem, we will define an infinite family |
of Boolean polynomials b indexed by the following data, constituting objects u of |
u |
the constructive world U. One u is a collection |
m N; (S ,T ),...,(S ,T ), (10) |
1 1 N N |
∈ |
where S , T 1,...,m , and b is defined as |
i i u |
⊂ { } |
N |
b (x ,...,x ) = 1+ (1+x ) x . (11) |
u 1 m k j |
iY=1 kY∈Si jY∈Ti |
|
The size of (10) is by definition u = mN. |
| | |
Put |
E = u U v Fm, b (v) = 1 . |
{ ∈ |∃ ∈ 2 u } |
Using the language of Boolean truth values, one says that v satisfies b if b (v) = 1, |
u u |
and E is called the satisfiability problem, or SAT. |
1.6.1. Claim. E NP. |
∈ |
In fact, let |
E′ = (u,v) b (v) = 1 U ( ∞ F ). (12) |
{ | u } ⊂ × ⊕i=1 2 |
Clearly, E isthe full projection of E′. A contemplation will convince the reader that |
E′ P. In fact, we can calculate b (v) performing O(Nm) Boolean multiplications |
u |
∈ |
and additions. The projection to E can be replaced by a polynomially truncated |
projection, because we have to check only v of size v m. |
| | ≤ |
1.6.2. Claim. E is NP–complete. |
In fact, let D NP, D A where A is some universe. Take a representation of |
∈ ⊂ |
D as a polynomially truncated projection of some set D′ A B,D′ P. Choose |
⊂ × ∈ |
a normal, say Turing, model of computation and consider the Turing protocols of |
13 |
computation of χ D′(a,b) with fixed a and variable polynomially bounded b. As we |
have explained above, for a given a, any such protocol can be imagined as a table |
of a fixed polynomially bounded size whose rows are the consecutive states of the |
computation. In the “microscopic” description, the positions in this table can be |
filled only by 0 or 1. In addition, each row is supplied by the specification of the |
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