Conjectures on optimal winning strategies.
Recall that we define
We now state a few conjectures and pose a few challenges to the interested
reader. First, after playing Hex(n) for various n,
it seems to be the case that opening in tile
[
n/2
,
n/2
] (or equivalently
[
n/2
,
n/2
]) is the strongest opening move.
In particular, we conjecture:
Playing Hex(5) and Hex(6) (especially with the conjecture above in mind) we believe:
It is within reason to expect to resolve this conjecture by an
argument similar to the one demonstrating that
(4)>4 presented below.
This is particularly true for showing
(5)>6.
Consider for example that this figure (right) implies that 4 of the 13
possible opening moves (modulo rotational symmetry) in Hex(5) admit a
player two winning strategy. This leaves only 9 opening moves to consider, some
of which are equally easy to dispose of. It would seem an ideal challenge for
the committed student to try to dispose of these remaining opening moves.
The case for
(6) is of course more complicated, but again, perhaps
not impossible by the methods employed here. In this case, more so than in the
n=5 case, it might be more reasonable to write a computer program that
helps in the endeavor. We similarly conjecture that:
As a result of this theorem, we have:
Moreover, it seems reasonable to believe that both
(n) and
(n) are strictly increasing.
More directly, it seems highly unlikely that player one
can guarantee a win in Hex(n+1) with a path of length equal to
(n)
or by playing at most
(n) counters.
We have, however, been unsuccessful at proving:
One could imagine trying to prove this by induction. One approach would be to
divide the board in the way described in the proof of
this theorem.
Unfortunately, this does not work as is evidenced by the fact that player one
can guarantee a win with a path of length 4 on a
6 x 4 board (where player
one has the shorter distance to span). In fact, we suspect that
player one may be able to guarantee a win on an n x k board
with a path of length k whenever n is sufficiently large.
Similarly, we suspect that player one may be able to guarantee a win on an
n x k board using at most
(k) counters,
where
(k)<
(k), whenever
n is sufficiently large. (We remark that we owe thanks to the referee for
pointing out a flaw in an argument which professed to prove that player one
required at least
(k)
counters to guarantee a win on an n x k board.)
Alternatively, one could try to prove the conjecture above by induction
using the standard n x n sub-board in much the way that
this theorem is proved.
In particular, in the case of
(n),
observe that in a game of
Hex(n+1), we can prevent all winning paths on the standard
n x n
sub-board of length
(n)-1 (by definition of
(n)). Therefore,
a minimal winning path in Hex(n+1)
would necessarily have to contain tiles outside the standard n x n
sub-board. But now, it seems plausible that player two could stop player
one's paths that utilize these tiles that could be part of a minimal
length winning path. However, all attempts to prove this have been
unsuccessful.
Despite our inability to prove this conjecture and in light of Theorem 4 above,
we suspect that perhaps
(n)- n also
tends to infinity as n tends to infinity. Much less clear
is whether or not
(n)/n or even
(n+1)-
(n) tends to infinity as n tends to infinity. It is similarly unclear
which of these, if any, hold for
(n). Finally, we ask one last
question for which we have no reasonable conjecture. Namely, what is the
growth rate of
(n) relative to the growth rate of
(n). These
questions are summarized in the following (challenge) question:

(n)-n,

(n)/n and

(n+1)-
(n);
(n)/n and

(n+1)-
(n);
(n)-
(n) and

(n)/
(n)?
Where to go from here?
- Back to: Homepage for this topic [Abstract, ToC, References].
- Who wins at Hex: A non-constructive answer.
- How to win at Hex: the general story.
- Optimal winning strategies.
- Minimal path length winning strategies.
- Minimal play winning strategies.
References
- [PC1] , personal communication.