A322751 Number of directed graphs of 2*n vertices each having an in-degree and out-degree of 1 such that the graph specifies a pairwise connected gift exchange.

0, 0, 4, 80, 4704, 436992, 58897920, 10880501760

Offset

0,3

Comments

The sequence is the number of unique arrangements of directed graphs connecting 2*n vertices, where vertices occur in pairs, and meeting the following requirements:

1. Each vertex has an out-degree and in-degree of 1.

2. No edge connects vertices that are paired.

3. Starting with any pair, following the edges of paired vertices connects all vertices.

The requirements were chosen to yield a nice gift exchange between a set of couples. Acknowledgement to the additional members of the initial, inspirational gift exchange group: Cat, Brad, Kim, Ada, Graham, Nolan, and Leah.

The fraction of graphs meeting the requirements is approximately 0.12. Starting with n=2, the fractions are (0.166666667, 0.111111111, 0.116666667, 0.12042328, 0.122959756, 0.124807468). Is there a way to compute the percentage of graphs satisfying the condition in the limit as n approaches infinity?

Links

Table of n, a(n) for n=0..7.

Example

For n = 0, there are no pairs; a(0) = 0 since no edges exist.
For n = 1, there is one pair; a(1) = 0 since requirements 1 and 2 can't be satisfied.
For n = 2, there are two pairs; a(2) = 4 graphs given by these edge destinations:
    ((2, 3), (1, 0))
    ((2, 3), (0, 1))
    ((3, 2), (1, 0))
    ((3, 2), (0, 1)).

Prog

(Python)
from itertools import permutations as perm
def num_connected_by_pairs(assigned, here=0, seen=None):
    seen = (seen, set())[seen is None]
    for proposed in [(here - 1, here), (here, here + 1)][(here % 2) == 0]:
        if proposed not in seen:
            seen.add(proposed)
            num_connected_by_pairs(assigned, assigned[proposed], seen)
    return len(seen)
def valid(assigned, pairs):
    self_give = [assigned[i] == i for i in range(len(assigned))]
    same_pair = [assigned[i] == i + 1 or assigned[i+1] == i for i in range(0, 2*pairs, 2)]
    if pairs == 0 or True in self_give + same_pair:
        return False
    num_connected = [num_connected_by_pairs(assigned, here) for here in range(2, 2*pairs, 2)]
    return min(num_connected) == 2*pairs
print([len([x for x in perm(range(2*pairs)) if valid(x, pairs)]) for pairs in range(0, 6)])

Crossrefs

A322750 does not allow reciprocal connections.

A010050 is the number of graphs (2n)!.

Sequence in context: A013007 A013008 A013180 * A000316 A012106 A156103

Adjacent sequences: A322748 A322749 A322750 * A322752 A322753 A322754

Keyword

nonn,more

Author

Russell Y. Webb, Dec 25 2018

Status

approved