transitive orientations and separating hyperplanes

Given the unitarized block matrix of size (n+d) rows and m columns, we can draw a hypergraph G with (n+d) nodes and m edges in the following way:
(How can you use Euler's theorem in these proofs?)
The PRDG has no self loops. They can be eliminated in a simple way.
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Alg1: Algorithm to construct G
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For every row of the block matrix, there is a node in the hypergaph /*There are total n+d nodes in G*/
for all columns of A, do the following:
If there is a +1 in a column of G, then we make them the tail of a hyperedge. If there is a -1 in the row, we make that corresponding node a head of a hyperedge (A 0 does nothing. By a restriction in the input PRDG, a 0 in the incidence matrix of input PRDG corresponds to nothing).
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We can construct another graph G' in the following way:
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Algorithm to construct hypergraph G'
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Notation:
The input PRDG is unitarized by step A_1 of the algorithm (given above). So in the rest of the paper, we refer to the unitarized-PRDG G_u simply as a PRDG. We also refer to it as a graph when the context is clear (In such instances, we refer to the other graph as a hypergraph). We also refer to the PRDG in terms of its block matrix. The block matrix is a (n+d)*m matrix, with the columns corresponding to its edges. Also, the top n rows corresponding to the incidence matrix of the PRDG, which is but a directed graph. The bottom d rows of the block matrix contain the d-dimensional dependence vectors associated with that corresponding edge.

G': A hypergraph constructed from the PRDG. Specifically, it has

a node for each column of the block matrix A (or, a node for each edge of the PRDG)

a hyperedge for a row of the matrix A. This also means a hyperedge which for a vertex of the PRDG and a hyperedge for each component of the dependence vector. The tail of the hyperedge is all the rows of A that have an entry equal to -1. The head of the hyperedge is all the rows of A that have an entry of +1.

one hypernode per hyperedge of the hypergraph G': These are the additional nodes that comeup in the analysis. Refer to section ... for additional notes on types of hypernodes.
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Lemma 1: G'=COMP(UNDIRECT(G))G' is the graph obtained by the complementing the underlying undirected graph for G(see proof below).

Lemma 2: In graph G, all the hypernodes are either sources (all outgoing nodes) or sinks (all incoming nodes).
Proof (by construction):
Corollary: in graph G', for v \in hypernode, indegree(v) = outdegree(v)

Theorem: The given system of equations has a solution iff the orientation of G is a transitive orientation.
Proof(if): The orientation of G is a transitive orientation

Corollary: The given system of equations has a zero cycle iff the orientation of G' is a transitive orientation.
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What is a separating hyperplane? How to do decomposition?
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the given PRDG has atleast one alternating sign in every row and column.
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Dependence analysis of unitarized PRDGs