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Proof. The in-degree sum formula states that
v G deg ( v )= m .
From this we have that the parity of O d , m equals the parity of m . Note that d
E d , m =
O d , m . Hence the parity of m equals the parity of d
E d , m and the lemma follows.
For any real number r , we denote r + =
max
{
r
,
0
}
.
Lemma 7. For every oriented graph on d vertices and m edges,
Z d + v ( deg ( v ) 1 ) + = m d .
Proof. We use again the in-degree sum formula,
v deg (
deg
v
)=
m . Thus
v (
deg (
) + =
(
v
)
1
)=
m
d and so
Z d + v (
v
)
1
m
d , since the sum contributes
a
1 for every vertex of in-degree zero.
We denote by Med
(
Y
)
the median of the random variable Y .
d
2
(
E d )
Lemma 8. If Med
,for any graph on d vertices and d edges, then Theo-
2
rem 2 holds true.
deg (
) + ,since
=
E d
Z d , then Lemma 7 gives that Z d = v (
)
Proof. Let Y d :
v
1
=
m
d . Note that
v ( deg ( v ) 1 ) +
deg (
) +
(
v
)
1
1
Y d .
v :deg (
v :deg (
{
v
)
2
}
{
v
)
2
}
1
Since Y d +
Z d =
E d , it follows that Z d
2 E d .Now X d +
Z d =
d so that X d =
Z d
d
1
2 E d and Med
d
2
3 d
+
2
d
(
X d )
d
=
.
4
4
2
2 . To prove this, we first compute the
distribution of the number of even in-degree vertices in the case of a connected
graph on d vertices and m
d
So it remains to prove that Med
(
E d )
1 edges. We then extend this computation to the
general case by considering the connected components of the graph.
We denote by Bin
d
(
s
,
p
)
a Binomially distributed random variable of parameters
1
2
s and p . In case p
. The parity of the in-degree of each
particular vertex is related to the parity of the Binomial distribution for which the
following is well known.
=
we just write Bin
(
s
)
Lemma 9. Suppose that X s :
=
Bin
(
s
)
mod 2 .ThenX s is a Bin
(
1
)
random variable
regardless of s.
Proof. The proof is by induction on s .When s
=
1 the conclusion is true. Suppose
that it is true for all integers up to s
1 and consider X s . Observe that X s
X s 1 +
Bin
(
1
) ,
mod 2. The induction hypothesis gives that X s 1 +
Bin
(
1
)
equals Bin
(
1
)+
Bin
(
1
)
mod 2,for two independent Bin
(
1
)
random variables which finishes the proof
of the lemma.
 
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