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2d_combinatorics.tex
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\title{Structural Theory and Classification of $2$-d Adinkras}
\author{Kevin Iga}
\address{Kevin Iga,
Natural Science Division,
24255 Pacific Coast Hwy.,
Pepperdine University,
Malibu, CA 90263}
\email{[email protected]}
\author{Yan X Zhang}
\address{Yan X Zhang,
Dept. of Mathematics,
970 Evans Hall,
University of California, Berkeley,
Berkeley, CA 94720-3840}
\email{[email protected]}
\begin{document}
\pagestyle{plain}
\begin{abstract}
Adinkras are combinatorial objects developed to study ($1$-dimensional) supersymmetry representations. Recently, \emph{$2$-d Adinkras} have been developed to study $2$-dimensional supersymmetry. In this paper, we classify all $2$-d Adinkras, confirming a conjecture of T. H\"ubsch. Along the way, we obtain other structural results, including a simple characterization of H\"ubsch's \emph{even-split doubly even codes}.
\end{abstract}
\maketitle
\section{Introduction}
Despite supersymmetry being of theoretical interest since the 1970s, there has not been a careful mathematical classification of off-shell supersymmetric field theories. Many supermultiplets have been discovered in an ad-hoc fashion. Many of these theories are only known on-shell, and it was not clear which of these had off-shell counterparts.\cite{wess-bagger,remains,enuf} The approach in \cite{enuf} was to consider $1$-d theories (that is, representations of the super-Poincar\'e algebra in one dimension, i.e., supersymmetric quantum mechanics). This is reasonable for several reasons: first, it makes sense to solve a problem starting with simpler cases, and $1$-d has a trivial Lorentz group structure, not to mention lack of gauge fields. Second, supermultiplets in higher dimensions (perhaps dimensions of interest like $4$ or $10$) can be dimensionally reduced to $1$-d, and so the $1$-d reduction can serve as a starting point for classifying higher dimensional theories. Third, this $1$-d classification is a compelling mathematical question, in its own right.
In 2004, M. Faux and S. J. Gates developed Adinkras (what we call \emph{$1$-d Adinkras} in this paper) to study off-shell supermultiplets in one dimension. There have been a number of developments that have led to the classification of $1$-d Adinkras.\cite{d2l:graph-theoretic,d2l:decodes,d2l:omni,d2l:topology, dil:cohomology,zhang:adinkras} From this, the classification of off-shell $1$-d supersymmetric theories was outlined in \cite{general-1d}.
Based on the success of this program, there have been a few recent approaches to using Adinkra-like ideas to study the super-Poincar\'e algebra in two dimensions. Note that many of the motivations for studying $1$-d SUSY apply here as well. In the progression from simple to difficult, this is a logical next step. It also has a very easy Lorentz group symmetry and a lack of gauge fields, while incorporating a few elements that are of interest in higher dimensions. Two-dimensional SUSY also is of interest to superstring theory.
One approach to off-shell $2$-d SUSY is to study the process of dimensional reduction from $2$ to $1$ dimensions and to use the results from the $1$-d classification, to determine graphical objects that capture the relevant representation theoretic data in this new setting. The graphical ``calculus'' idea is very useful because once the fundamental physics ideas are instilled into the definitions, we only need to perform combinatorial manipulations and very little algebra. This has led to the development of $2$-d Adinkras.\cite{gates:dimensional_extension,hubsch:weaving}
In this paper, we completely characterize $2$-d Adinkras, guided by the approach and conjectures set forth in \cite{hubsch:weaving}. The main result settles H\"ubsch's Conjecture\footnote{The formulation in \cite{hubsch:weaving} is slightly different: see Appendix~\ref{app:repn} for details.} in Theorem~\ref{thm:quotient}. Essentially, this says that these $2$-d Adinkras come from two $1$-d Adinkras: one describing the left-moving supersymmetries, and the other describing the right-moving supersymmetries. Every $2$-d Adinkra is a product of these $1$-d Adinkras, followed by vertex switches and a quotienting operation. This allows us to use our knowledge of $1$-d Adinkras to completely understand $2$-d Adinkras.
We begin in Section~\ref{sec:prelim} by recalling the definition of ($1$-d) Adinkras and some of their features, reviewing the \emph{code} associated with an Adinkra\cite{d2l:omni} and the concept of \emph{vertex switching}.\cite{dil:cohomology,zhang:adinkras} As this paper is a mostly self-contained work of combinatorial classification, we do not discuss (or require from the reader) the physics and representation theory background relating to $1$-d Adinkras; the interested reader may see Appendix~\ref{app:repn} and the aforementioned references for more information along these lines. Instead, Section~\ref{sec:prelim}'s goal is to provide the minimum background to understand and manipulate Adinkras as purely combinatorial objects.
Then, Sections~\ref{sec:2d}--\ref{sec:code2d} discuss $2$-d Adinkras: the definition, some basic constructions, and characterizing their codes. In Section~\ref{sec:quotient}, we prove the main theorem, H\"ubsch's Conjecture mentioned above.
Finally, Section~\ref{sec:structure}, guided by the main theorem, summarizes the basic structure of $2$-d Adinkras, including a (computable but impractical due to combinatorial explosion) scheme to generate all $2$-d Adinkras. We end with some remarks in Section~\ref{sec:conclusion}.
\section{Preliminaries}
\label{sec:prelim}
\subsection{$1$-d Adinkras}
\label{sec:1d}
\emph{Adinkras} in \cite{d2l:first,d2l:graph-theoretic,zhang:adinkras} will be referred to as \emph{$1$-d Adinkras} in this paper, since they relate to supersymmetry in $1$ dimension. In this section, we review a definition of $1$-d Adinkras and give some tools from previous work on their structural theory. The material in this section is mainly found in \cite{d2l:omni,zhang:adinkras}, with minor paraphrasing.
\begin{definition}[$1$-d Adinkras]
Let $n$ be a non-negative integer. An \emph{$1$-d Adinkra} with $n$ colors is $(V,E,c,\mu,h)$ where:
\begin{enumerate}
\item $(V,E)$ is a finite undirected graph (called the \emph{underlying graph} of the Adinkra) with vertex set\footnote{In \cite{d2l:first,d2l:graph-theoretic}, there is also a bipartition of the vertices, where some vertices are represented by open circles and called bosons, and other vertices are represented by filled circles and called fermions. This is not necessary to include in our definition, because the bipartition can be obtained directly by taking the grading $h$ modulo $2$, which is a bipartition by property 4 below.} $V$ and edge set $E$.
\item $c:E\to [n] := \{1,\ldots,n\}$ is a map called the \emph{coloring}. We require that for every $v\in V$ and $i \in [n]$, there exists exactly one $w\in V$ so that $(v,w)\in E$ and $c(v,w)=i$. We also require that every two-colored simple cycle be of length $4$ (A \emph{simple} cycle is one which does not repeat vertices other than the starting vertex; A \emph{two-colored} cycle is one where the set of colors of the edges has cardinality $2$).
\item $\mu:E\to \ZZ_2=\{0,1\}$ is a map called the \emph{dashing}. The \emph{parity} of $\mu$ on a cycle given by vertices $(v_0,\ldots,v_k)$ is defined as the sum
\[\sum_{i=0}^{k-1}\mu(v_i,v_{i+1})\pmod{2}.\]
We require that the parity of $\mu$ on every two-colored simple cycle to be odd. Such a dashing $\mu$ is called \emph{admissible}.
\item $h:V\to\ZZ$ is a map called the \emph{grading}. We require that if $(v,w)\in E$, then $|h(v)-h(w)|=1$. Equivalently, $h$ provides a height function that makes $(V,E)$ into the Hasse diagram of a ranked poset.
\end{enumerate}
\end{definition}
\begin{figure}
\begin{center}
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\node [right] at (-20,25) {$h$};
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\caption{Example of a $1$-d Adinkra with $3$ colors. The coloring is represented by colors on the edges. The dashing is represented by having a dashed edge if $\mu(e)=1$ and a solid edge if $\mu(e)=0$. The grading is represented by the vertical height as indicated on the axis on the left.
\label{fig:1d-examples}}
\end{center}
\end{figure}
Figure~\ref{fig:1d-examples} gives an example of a $1$-d Adinkra.
\subsection{Structural Aspects of $1$-d Adinkras}
\label{sec:code}
Let $A$ be a $1$-d Adinkra with $n$ colors, with vertex set $V$. For all $i\in [n]$, define $q_i:V\to V$ such that for all $v\in V$, $q_i(v)$ is the unique vertex joined to $v$ by an edge of color $i$. In \cite{d2l:omni}, it was shown that the map $q_i$ is a graph isomorphism (in fact, an involution) from the underlying graph of $A$ to itself which preserves colors. The $q_i$ commute with each other. These facts can be used to combine the $q_1,\ldots, q_n$ maps into an action of $\ZZ_2^n$ on the graph $(V,E)$ underlying the Adinkra in the following way:
\begin{definition}
The action of $\ZZ_2^n$ on the graph $(V,E)$ underlying the Adinkra is given on vertices by
\[(x_1,\ldots,x_n)v=q_1^{x_1}\circ\cdots\circ q_n^{x_n}(v).\]
\end{definition}
Intuitively, the action of a sequence of bits, for instance, $11001$, on a vertex is obtained by following edges with colors that correspond to $1$'s in the sequence (in this case, colors $1$, $2$, and $5$). The fact that the $q_i$'s commute implies that the order of the colors does not matter.
The Adinkra $A$ is connected if and only if the $\ZZ_2^n$ action is transitive on the vertex set of $A$. In this case the stabilizers of all vertices are equal (in general the stabilizers of two points in the same orbit are conjugate; here we know more since the group is abelian). Define $C(A)$, the \emph{code of the Adinkra} $A$, to be this stabilizer. This is a \emph{binary linear code} of length $n$ (i.e., a linear subspace of $\ZZ_2^n$). As these are the only types of codes we use, from now on we simply say \emph{code} to mean ``binary linear code.''
We call the elements of a code \emph{codewords}. The \emph{weight} of a codeword $w$ is the number of $1$'s in the word. A code is called \emph{even} if all its codewords have even weight. A code is called \emph{doubly-even} if all its codewords have weight divisible by $4$. An example of a doubly-even code is the span $\langle 111100, 001111\rangle$, which has $2^2 = 4$ elements. An example of a code that is even but not doubly-even is the $1$-dimensional code $\langle 11 \rangle$.
Codes are surprisingly relevant to the structural theory of Adinkras; in fact, one should basically think of the underlying graph of an Adinkra as a doubly-even code, as we now see.
\subsection{Quotients}
We now know that the stabilizer of our action on the graph is a code. We can also go in the opposite direction: let $I^n$, the \emph{Hamming cube}, be the graph with $2^n$ vertices labeled by strings of length $n$ using the alphabet $\{0, 1\}$, with an edge between two vertices $v$ and $w$ if and only if they differ in exactly one place. There is a natural coloring on $I^n$: just color each edge by the coordinate where the two vertices differ. Now, codes in $\ZZ_2^n$ act on $I^n$ by bitwise addition modulo $2$, and these are isomorphisms that preserve colors. A natural operation to consider on a colored graph $\Gamma=(V,E,c)$ and a group $C$ acting on $V$ via graph isomorphisms that preserve colors is the \emph{quotient} $\Gamma/C$, where the vertices are defined to be orbits in $V/C$, and we have an $c$-colored edge $(v,w)$ if and only if there is at least one $c$-colored edge $(v',w') \in E$ with $v'$ in the orbit $v$ and $w'$ in the orbit $w$.
\begin{figure}[htb]
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\Vertex[x=25,y=7]{E}
\Vertex[x=30,y=10]{F'}
\Vertex[x=35,y=7]{G'}
\Vertex[x=25,y=17]{H'}
\Edge[color=black](A)(B)
\Edge[color=black](A')(B')
\Edge[color=red](A)(C)
\Edge[color=red](A')(C')
\Edge[color=green](A)(D)
\Edge[color=green](A')(D')
\Edge[color=blue](A)(E)
\Edge[color=blue](A')(E')
\Edge[color=red](B')(F')
\Edge[color=green](B)(G)
\Edge[color=green](B')(G')
\Edge[color=blue](B)(H')
\Edge[color=blue](B')(H)
\Edge[color=black](C')(F')
\Edge[color=green](C)(H)
\Edge[color=green](C')(H')
\Edge[color=blue](C)(G')
\Edge[color=blue](C')(G)
\Edge[color=black](D)(G)
\Edge[color=black](D')(G')
\Edge[color=red](B)(F)
\Edge[color=red](D)(H)
\Edge[color=red](D')(H')
\Edge[color=black](C)(F)
\Edge[color=blue](D)(F')
\Edge[color=blue](D')(F)
\Edge[color=black](E)(H')
\Edge[color=black](E')(H)
\Edge[color=red](E)(G')
\Edge[color=red](E')(G)
\Edge[color=green](E)(F')
\Edge[color=green](E')(F)
\end{tikzpicture}
&
\begin{tikzpicture}[scale=0.15]
\SetVertexSimple[MinSize=5pt]
\SetUpEdge[labelstyle={draw}]
\Vertex[x=0,y=0]{A}
\Vertex[x=0,y=10]{B}
\Vertex[x=10,y=0]{C}
\Vertex[x=5,y=3]{D}
\Vertex[x=15,y=13]{E}
\Vertex[x=10,y=10]{F}
\Vertex[x=5,y=13]{G}
\Vertex[x=15,y=3]{H}
\Edge[color=black](D)(G)
\Edge[color=red](D)(H)
\Edge[color=black](E)(H)
\Edge[color=red](E)(G)
\Edge[color=blue](A)(E)
\Edge[color=blue](B)(H)
\Edge[color=blue](C)(G)
\Edge[color=blue](D)(F)
\Edge[color=green](A)(D)
\Edge[color=green](B)(G)
\Edge[color=green](E)(F)
\Edge[color=green](C)(H)
\Edge[color=black](A)(B)
\Edge[color=red](A)(C)
\Edge[color=red](B)(F)
\Edge[color=black](C)(F)
\end{tikzpicture}
&
\begin{tikzpicture}[scale=0.15]
\SetVertexSimple[MinSize=5pt]
\SetUpEdge[labelstyle={draw}]
\Vertex[x=15,y=20]{0000}
\Vertex[x=0,y=10]{0001}
\Vertex[x=10,y=10]{0010}
\Vertex[x=20,y=10]{0100}
\Vertex[x=30,y=10]{0111}
\Vertex[x=5,y=0]{0011}
\Vertex[x=15,y=0]{0101}
\Vertex[x=25,y=0]{0110}
\Edge[color=black](0100)(0101)
\Edge[color=red](0100)(0110)
\Edge[color=black](0111)(0110)
\Edge[color=red, style=dashed](0111)(0101)
\Edge[color=blue,style=dashed](0000)(0111)
\Edge[color=blue,style=dashed](0001)(0110)
\Edge[color=blue,style=dashed](0010)(0101)
\Edge[color=blue](0100)(0011)
\Edge[color=green](0000)(0100)
\Edge[color=green](0001)(0101)
\Edge[color=green](0111)(0011)
\Edge[color=green, style=dashed](0010)(0110)
\Edge[color=black, style=dashed](0000)(0001)
\Edge[color=red](0000)(0010)
\Edge[color=red](0001)(0011)
\Edge[color=black](0010)(0011)
\end{tikzpicture}
\end{tabular}
\caption{Left: the colored graph $I^4$. Middle: the quotient $I^4/\{0000,1111\}$. Right: as the code $\{0000, 1111\}$ is doubly-even, there exists an Adinkra with the quotient as its underlying graph by Theorem~\ref{thm:1d-quotients}. \label{fig:4cube folding}}
\end{center}
\end{figure}
\begin{thm}
\label{thm:1d-quotients}
$I^n/C$ is the colored graph of some $1$-d Adinkra if and only if $C$ is a doubly-even code.
\end{thm}
See \cite{d2l:omni} for the original proof of this result. See \cite{zhang:adinkras} for a more general treatment of quotienting by a code and a slightly extended correspondence\footnote{Note that the quotient $\Gamma/C$ does not necessarily retain nice properties of $\Gamma$; it does not even have to be a simple graph. It may also have edges with different colors between two vertices. Part of the work here is to show these pathologies do not happen when $C$ is a doubly-even code.} between graph properties of the quotient $I^n/C$ and properties of the code $C$.
Figure~\ref{fig:4cube folding} provides an example of a quotient of $I^4$ by a code that obeys this theorem. Encoded within the proof of Theorem~\ref{thm:1d-quotients} is the fact that if $C$ is a doubly-even code, then there exists an admissible dashing. A constructive proof of existence can be found in \cite{d2l:topology}. See \cite{zhang:adinkras} for an enumeration of all admissible dashings for any doubly-even code.
\subsection{Vertex Switching}
\label{sec:vertexswitch}
Vertex switching was first introduced in the context of Adinkras in \cite{d2l:first} and is more thoroughly set in its context in \cite{dil:cohomology,zhang:adinkras}.
\begin{definition}[Vertex switching]
Given an Adinkra $A$, and a vertex $v$ of $A$, we define \emph{vertex switching at $v$} to be the operation on $A$ that returns a new Adinkra $\bar{A}$ with the same vertices, edges, coloring, and grading but a new dashing $\bar{\mu}$ so that
\begin{equation}
\bar{\mu}(e)=\begin{cases}
1-\mu(e),&\mbox{if $e$ is incident to $v$}\\
\mu(e),&\mbox{otherwise.}
\end{cases}
\end{equation}
We leave to the reader to check that $\bar{\mu}$ is still an admissible dashing; since the vertices, edges, coloring, and grading(s) are the same, $\bar{A}$ remains an Adinkra. We also use a \emph{vertex switching of $A$} to refer to a composition of vertex switchings at various vertices of $A$.
\end{definition}
\begin{figure}[htb]
\begin{center}
\begin{tabular}{cc}
\begin{tikzpicture}[scale=0.15]
\SetVertexSimple[MinSize=5pt]
\SetUpEdge[labelstyle={draw}]
\Vertex[x=0,y=0]{A}
\Vertex[x=0,y=10]{B}
\Vertex[x=10,y=0]{C}
\Vertex[x=5,y=3]{D}
\Vertex[x=15,y=13]{E}
\Vertex[x=10,y=10]{F}
\Vertex[x=5,y=13]{G}
\Vertex[x=15,y=3]{H}
\Edge[color=black,style=dashed](A)(B)
\Edge[color=red](A)(C)
\Edge[color=green](A)(D)
\Edge[color=black](D)(G)
\Edge[color=red](B)(F)
\Edge[color=green](B)(G)
\Edge[color=green,style=dashed](C)(H)
\Edge[color=red](D)(H)
\Edge[color=black](C)(F)
\Edge[color=black](E)(H)
\Edge[color=red,style=dashed](E)(G)
\Edge[color=green](E)(F)
\node[text width=1cm] at (19,15) {$v$};
\node[text width=1cm] at (10,-5){$A$};
\end{tikzpicture}
&
\begin{tikzpicture}[scale=0.15]
\SetVertexSimple[MinSize=5pt]
\SetUpEdge[labelstyle={draw}]
\Vertex[x=0,y=0]{A}
\Vertex[x=0,y=10]{B}
\Vertex[x=10,y=0]{C}
\Vertex[x=5,y=3]{D}
\Vertex[x=15,y=13]{E}
\Vertex[x=10,y=10]{F}
\Vertex[x=5,y=13]{G}
\Vertex[x=15,y=3]{H}
\Edge[color=black,style=dashed](A)(B)
\Edge[color=red](A)(C)
\Edge[color=green](A)(D)
\Edge[color=black](D)(G)
\Edge[color=red](B)(F)
\Edge[color=green](B)(G)
\Edge[color=green,style=dashed](C)(H)
\Edge[color=red](D)(H)
\Edge[color=black](C)(F)
\Edge[color=black,style=dashed](E)(H)
\Edge[color=red](E)(G)
\Edge[color=green,style=dashed](E)(F)
\node[text width=1cm] at (19,15) {$v$};
\node[text width=1cm] at (10,-5){$\bar{A}$};
\end{tikzpicture}
\end{tabular}
\caption{A vertex switching at $v$ turns the Adinkra $A$ on the left into the Adinkra $\bar{A}$ on the right. The two Adinkras have the same dashing except precisely the edges that are incident to $v$. Note that in both cases, each face of the cube has an odd number of dashed edges.\label{fig:vertexswitch}}
\end{center}
\end{figure}
In \cite{douglas}, vertex switching was first applied to dashings in Adinkras from a point of view inspired by Seidel's \emph{two-graphs} \cite{seidel:survey}.\footnote{In Seidel's setting, \emph{vertex switching} switched the existence of edges, not the sign of edges; this can be seen as equivalent our definition applied to the complete graph. The type of vertex switching we do in this paper is sometimes called vertex switching on \emph{signed graphs} in literature for disambiguation.} An enumeration of vertex switching classes leading to counting the number of dashings of any $1$-d Adinkra can be found in \cite{zhang:adinkras}.
\section{$2$-d Adinkras}
\label{sec:2d}
Just as $1$-d Adinkras were used to study $1$-d supersymmetry, Gates and H\"ubsch developed $2$-d Adinkras to study $2$-d supersymmetry.\cite{gates:dimensional_extension,hubsch:weaving} We use a definition here that is equivalent to the one found there.\footnote{The main notational difference is a kind of change of coordinates: there, nodes are labeled by \emph{mass dimension}, which is $h_L+h_R$, and \emph{spin}, which is $h_R-h_L$. Mass dimension is the units of mass associated with the field, where $c=\hbar=1$ and spin is the eigenvalue of $x\partial_t+t \partial_x$.}
A $2$-d Adinkra is similar to a $1$-d Adinkra except that some colors are called ``left-moving'' and the other colors called ``right-moving''. Edges are called ``left-moving'' if they are colored by left-moving colors, and right-moving otherwise. Furthermore, there are two gradings, one that is affected by the left-moving edges and the other for the right-moving edges. More formally:
\begin{definition}[$2$-d Adinkras]
Let $p$ and $q$ be non-negative integers. A \emph{2-d Adinkra with $(p,q)$ colors} is a 1-d Adinkra $(V,E,c,\mu,h)$ with $p+q$ colors, and two grading functions $h_L:V\to \ZZ$ and $h_R:V\to \ZZ$ so that
\begin{itemize}
\item $h(v)=h_L(v)+h_R(v)$.
\item Let $e$ be an edge. If $c(e)\le p$ then $e$ is called a \emph{left-moving edge}; if $c(e)>p$ then it is called a \emph{right-moving edge}. Similarly, the first $p$ colors are called \emph{left-moving colors} and the last $q$ colors are called \emph{right-moving colors}.
\item if $(v,w)$ is a left-moving edge, then $|h_L(v)-h_L(w)|=1$ and $h_R(v)=h_R(w)$. If $(v,w)$ is a right-moving edge, then $|h_R(v)-h_R(w)|=1$ and $h_L(v)=h_L(w)$.
\end{itemize}
\end{definition}
\begin{figure}[htb]
\begin{center}
\begin{tikzpicture}[scale=0.05]
\SetVertexSimple[MinSize=5pt]
\node[text width=3cm] at (-10, 0) {(0,0)};
\node[text width=3cm] at (-35, 30) {(1,0)};
\node[text width=3cm] at (65, 30) {(0,1)};
\node[text width=3cm] at (-10, 60) {(1,1)};
\SetUpEdge[labelstyle={draw}]
\Vertex[x=0,y=0]{A}
\Vertex[x=-10,y=0]{H}
\Vertex[x=-35,y=30]{C}
\Vertex[x=-25,y=30]{B}
\Vertex[x=25,y=30]{D}
\Vertex[x=15,y=30]{E}
\Vertex[x=0,y=60]{G}
\Vertex[x=-10,y=60]{F}
\Edge[color=red](A)(C)
\Edge[color=red](B)(H)
\Edge[color=red](G)(E)
\Edge[color=red](F)(D)
\Edge[color=green](A)(D)
\Edge[color=green, style=dashed](E)(H)
\Edge[color=green](G)(B)
\Edge[color=green, style=dashed](F)(C)
\Edge[color=blue, style=dashed](C)(H)
\Edge[color=blue](B)(A)
\Edge[color=blue, style=dashed](G)(D)
\Edge[color=blue](F)(E)
\Edge[color=black, style=dashed](D)(H)
\Edge[color=black, style=dashed](A)(E)
\Edge[color=black](G)(C)
\Edge[color=black](B)(F)
\end{tikzpicture}
\caption{A $2$-d Adinkra with $(2,2)$ colors. The grading coordinates are given next to the nodes as $(h_L, h_R)$. \label{fig:2d-example}}
\end{center}
\end{figure}
See Figure~\ref{fig:2d-example} for an example of a $2$-d Adinkra. The main goal of this paper is to follow the program set out in \cite{hubsch:weaving} and completely characterize $2$-d Adinkras. As a first step, we define the natural notion of \emph{products} in the following section.
\section{Products}
\label{sec:products}
One important way to produce a $2$-d Adinkra with $(p,q)$ colors is to take the product of two $1$-d Adinkras (one with $p$ colors, and the other with $q$ colors), using the following construction.
\begin{construction}
\label{const:product}
Let $p$ and $q$ be non-negative integers. Let $A_1=(V_1, E_1, c_1, \mu_1,h_1)$ be a $1$-d Adinkra with $p$ colors and let $A_2=(V_2, E_2, c_2, \mu_2,h_2)$ be a $1$-d Adinkra $q$ colors. We define the \emph{product} of these Adinkras $A_1\times A_2$ as the following 2-Adinkra with $(p,q)$ colors:
\[A_1\times A_2=(V,E,c,\mu,h_1,h_2)\]
where $V=V_1\times V_2$ and there are two kinds of edges in $E$:
\begin{itemize}
\item For every edge $e$ in $E_1$ connecting vertices $v$ and $w\in V_1$, and for every vertex $x\in V_2$, we have an edge in $E$ between vertices $(v,x)$ and $(w,x)$ in $V=V_1\times V_2$ of color $c_1(e)$ and dashing $\mu_1(e)$.
\item For every edge $e$ in $E_2$ connecting vertices $v$ and $w\in V_2$ and for every vertex $x\in V_1$, we have an edge in $E$ between vertices $(x,v)$ and $(x,w)$ in $V=V_1\times V_2$ of color $p+c_2(e)$ and dashing $\mu_2(e)+h_1(x)\pmod{2}$.
\end{itemize}
See Figure~\ref{fig:product} for an example.
\end{construction}
\begin{figure}
\begin{center}
\begin{tabular}{c|c}
\begin{tikzpicture}[scale=0.1]
\SetVertexSimple[MinSize=5pt]
\SetUpEdge[labelstyle={draw}]
\Vertex[x=0,y=0]{A}
\Vertex[x=10,y=0]{B}
\Vertex[x=0,y=20]{E}
\Vertex[x=10,y=20]{F}
\Edge[color=blue](A)(E)
\Edge[color=blue, style=dashed](B)(F)
\Edge[color=red](A)(F)
\Edge[color=red](B)(E)
\Vertex[x=30,y=0]{A'}
\Vertex[x=30,y=40]{B'}
\Vertex[x=25,y=20]{E'}
\Vertex[x=35,y=20]{F'}
\Edge[color=green](A')(E')
\Edge[color=green, style=dashed](B')(F')
\Edge[color=black](A')(F')
\Edge[color=black](B')(E')
\end{tikzpicture}
&
\begin{tikzpicture}[scale=0.05]
\SetVertexSimple[MinSize=5pt]
\SetUpEdge[labelstyle={draw}]
\Vertex[x=0,y=0]{BA}
\Vertex[x=-10,y=0]{AA}
\Vertex[x=-35,y=40]{EA}
\Vertex[x=-25,y=40]{FA}
\Vertex[x=15,y=35]{AF}
\Vertex[x=25,y=35]{BF}
\Vertex[x=15,y=45]{AE}
\Vertex[x=25,y=45]{BE}
\Vertex[x=-10,y=75]{EF}
\Vertex[x=0,y=75]{FF}
\Vertex[x=-10,y=85]{EE}
\Vertex[x=0,y=85]{FE}
\Vertex[x=40,y=80]{AB}
\Vertex[x=50,y=80]{BB}
\Vertex[x=15,y=120]{EB}
\Vertex[x=25,y=120]{FB}
\Edge[color=blue](AA)(EA)
\Edge[color=blue, style=dashed](BA)(FA)
\Edge[color=red](AA)(FA)
\Edge[color=red](BA)(EA)
\Edge[color=blue](AB)(EB)
\Edge[color=blue, style=dashed](BB)(FB)
\Edge[color=red](AB)(FB)
\Edge[color=red](BB)(EB)
\Edge[color=blue](AE)(EE)
\Edge[color=blue, style=dashed](BE)(FE)
\Edge[color=red](AE)(FE)
\Edge[color=red](BE)(EE)
\Edge[color=blue](AF)(EF)
\Edge[color=blue, style=dashed](BF)(FF)
\Edge[color=red](AF)(FF)
\Edge[color=red](BF)(EF)
\Edge[color=green](AA)(AE)
\Edge[color=green, style=dashed](AB)(AF)
\Edge[color=black](AA)(AF)
\Edge[color=black](AB)(AE)
\Edge[color=green](BA)(BE)
\Edge[color=green, style=dashed](BB)(BF)
\Edge[color=black](BA)(BF)
\Edge[color=black](BB)(BE)
\Edge[color=green, style=dashed](EA)(EE)
\Edge[color=green](EB)(EF)
\Edge[color=black, style=dashed](EA)(EF)
\Edge[color=black, style=dashed](EB)(EE)
\Edge[color=green, style=dashed](FA)(FE)
\Edge[color=green](FB)(FF)
\Edge[color=black, style=dashed](FA)(FF)
\Edge[color=black, style=dashed](FB)(FE)
\end{tikzpicture}
\end{tabular}
\caption{Constructing the $2$-d Adinkra (right) from two smaller $1$-d Adinkras (left) as a product. Note that the dashings are all ``consistent'' with the smaller Adinkras, except for the right-moving edges on the upper-left ``boundary'' of the rectangle; these correspond to right-moving edges where the grading corresponding to the first Adinkra has height $1$.\label{fig:product}}
\end{center}
\end{figure}
This definition is intended to be a graph-theoretic version of the tensor product construction in $\ZZ_2$-graded representations (see Appendix~\ref{app:repn} for more details). The edges that come from $E_1$ give rise to left-moving edges, and the edges that come from $E_2$ give rise to right-moving edges. It follows easily that for every vertex $v$ in $A_1\times A_2$ and for every color in $[n]$ there is a unique edge in $A_1\times A_2$ incident to $v$. The fact that two-colored simple cycles have length $4$ follows from following cases, depending on whether the colors are both left-moving, both right-moving, or one of each. The parity condition for an Adinkra also follows from considering these cases. The properties related to the bigrading are straightforward. We then have:
\begin{prop}
\label{prop:product-admissible}
Given Adinkras $A_1$ and $A_2$, $A_1\times A_2$ is a $2$-d Adinkra.
\end{prop}
\begin{definition}[Extending codes]
Let $p$ and $q$ be non-negative integers and let $n=p+q$. Define $Z_L:\ZZ_2^p\to\ZZ_2^n$ to be the function that appends $q$ zeros, so that for instance, if $p=4$ and $q=3$, then $Z_L(1011)=1011000$. Likewise, define $Z_R:\ZZ_2^q\to\ZZ_2^n$ to be the function that prepends $p$ zeros.
Our most common use of this notation is as follows: if $C$ is a binary block code of length $p$, we write $Z_L(C)$ for the image under $Z_L$. Likewise, if $C$ is a binary block code of length $q$, we write $Z_R(C)$ for the image under $Z_R$.
\end{definition}
\begin{prop}
\label{prop:prodcode}
Let $A_1$ and $A_2$ be as above. Then
\[C(A_1\times A_2)=Z_L(C(A_1))\oplus Z_R(C(A_2)).\]
\end{prop}
\begin{proof}
Let $(v_1,v_2)\in A_1\times A_2$. Let $\vec{x}\in \ZZ_2^N$. We can write $\vec{x}=\vec{x}_L+\vec{x}_R$ where $\vec{x}_L$ is zero in the last $q$ bits and $\vec{x}_R$ is zero in the first $p$ bits. Now
\[\vec{x}(v_1,v_2)=(\vec{x}_L+\vec{x}_R)(v_1,v_2)=(\vec{x}_Lv_1,\vec{x}_Rv_2).\]
This means that $\vec{x}(v_1,v_2)=(v_1,v_2)$ if and only if $\vec{x}_Lv_1=v_1$ and $\vec{x}_R v_2=v_2$. So $\vec{x}\in C(A_1\times A_2)$ if and only if $\vec{x}_L\in Z_L(C(A_1))$ and $\vec{x}_R\in Z_R(C(A_2))$.
\end{proof}
\section{Codes for $2$-d Adinkras}
\label{sec:code2d}
Let $A$ be a connected $2$-d Adinkra with $(p,q)$ colors. Then there is a doubly even code $C(A)$ associated with $A$. But as a $2$-d Adinkra, we make a distinction between the first $p$ colors and the last $q$ colors, which for a code translates to the first $p$ bits and the last $q$ bits. A natural question is: ``knowing that an $1$-d Adinkra can be enriched into a $2$-d Adinkra, what else can we say about its code?'' In this section, we address this question.
\begin{definition}[Weights for left-moving and right-moving colors; ESDE codes]
Recall that for any vector $\vec{x}\in\ZZ_2^n$, the \emph{weight} of $\vec{x}$, denoted $\wt(\vec{x})$, is the number of $1$'s in $\vec{x}$. Likewise, $\wt_L(\vec{x})$ is the the number of $1$'s in the first $p$ bits and $\wt_R(\vec{x})$ is the number of $1$'s in the last $q$ bits of $\vec{x}$. Let a code $C$, along with the parameters $(p,q)$, be called a \emph{even-split doubly even (ESDE) code} if $C$ is doubly-even and all codewords $\vec{x}$ in $C$ have both $\wt_L(\vec{x})$ and $\wt_R(\vec{x})$ even.
\end{definition}
This definition of ESDE codes is due to \cite{hubsch:weaving}, which also proves the following:
\begin{thm}
\label{thm:esde}
If $A$ is a connected $2$-d Adinkra with $(p,q)$ colors, then $C(A)$ is an ESDE.
\end{thm}
We now prove the converse of this theorem. That is, given an ESDE code, there exist connected $2$-d Adinkra with that code. This procedure is analogous to the Valise Adinkras in $1$-d,\cite{d2l:first,d2l:graph-theoretic} in that the possible values of each component $(h_L,h_R)$ of the bigrading is as small as possible, i.e., two values.
\begin{construction}
\label{cons:valise}
Let $C$ be an ESDE code. We will describe a construction that provides a $2$-d Adinkra with code $C$, called the {\em Valise 2-d Adinkra}. First, since $C$ is doubly-even, there exists a connected $1$-d Adinkra $A$ with code $C(A) = C$ by Theorem~\ref{thm:1d-quotients}. Fix a vertex $\overline{0}$ of $A$. Now for every vertex $v$ there is a vector $\vec{x}\in\ZZ_2^n$ so that $\vec{x}\overline{0}=v$. Then define $h_L(v)=\wt_L(\vec{x})\pmod{2}$ and $h_R(v)=\wt_R(\vec{x})\pmod{2}$. Note that these functions are well-defined since $C$ is ESDE. Then $(h_L, h_R)$ is a bigrading for $A$, making it a $2$-d Adinkra. An example of the kind of $2$-d Adinkra that arises from this construction is Figure~\ref{fig:2d-example}.
\end{construction}
We therefore have:
\begin{thm}
\label{thm:esdeiff}
For a code $C \subset \ZZ_2^n$, there exists a $2$-d Adinkra $A$ with $C(A) = C$ if and only if $C$ is a ESDE code.
\end{thm}
The structure of the ESDE relates to interesting features of the colored graph of $A$. Let $A_L$ be the $1$-d Adinkra with $p$ colors that consists of only the left-moving edges of $A$. Let $A_R$ be the $1$-d Adinkra with $q$ colors that consists of only the right-moving edges of $A$ (where we shift the colors so that they range from $1$ to $q$ instead of $p+1$ to $p+q$). Pick a vertex $\overline{0}$ in $A$. Let $A_L^0$ be the connected component of $A_L$ containing $\overline{0}$ and let $A_R^0$ be the connected component of $A_R$ containing $\overline{0}$.
We now see that the codes for $A_L^0$ and $A_R^0$ (with an appropriate number of $0$s added to the left or right as necessary) provide important linear subspaces of $C(A)$.
\begin{prop}
\[Z_L(C(A_L^0))=C(A)\cap Z_L(\ZZ_2^p)\]
\[Z_R(C(A_R^0))=C(A)\cap Z_R(\ZZ_2^q)\]
\end{prop}
In other words, the codewords that are zero in the last $q$ bits are precisely the codewords from $C(A_L^0)$ with $q$ zeros appended to the right; and the codewords that are zero in the first $p$ bits are precisely the codewords from $C(A_R^0)$ with $p$ zeros prepended to the left.
\begin{proof}
If $\vec{x}\in Z_L(C(A_L^0))$, so that $\vec{x}=Z_L(\vec{y})$ for some $\vec{y}\in C(A_L^0)$. Then trivially $\vec{x}\in Z_L(\ZZ_2^p)$. Furthermore, $\vec{y}\overline{0}=\overline{0}$ in $A_L^0$. In $A$, $Z_L(\vec{y})=\vec{x}$ does exactly the same thing, so $\vec{x}\overline{0}=\overline{0}$ in $A$. Therefore $\vec{x}\in C(A)$.
Conversely if $\vec{x}\in C(A)\cap Z_L(\ZZ_2^p)$, then by the definition of the group action there is a path in $A$ from $\overline{0}$ to $\overline{0}$ following the colors corresponding to the $1$s in $\vec{x}$. Since $\vec{x}\in Z_L(\ZZ_2^p)$, we have that this path only consists of left-moving colors, and so lies in $A_L^0$.
The proof for $Z_R(C(A_R^0))$ is similar.
\end{proof}
\begin{cor}
\label{cor:cplus}
\[Z_L(C(A_L^0))\oplus Z_R(C(A_R^0))\subset C(A)\]
\end{cor}
Comparing with Proposition~\ref{prop:prodcode}, this corollary says that the code for $A_L^0\times A_R^0$ is a linear subspace of the code for $A$.
Simply for brevity (and thus, readability) in later descriptions, we define using the product construction above $A'=A_L^0\times A_R^0$, and the code $C\,'=Z_L(C(A_L^0))\oplus Z_R(C(A_R^0))$. Also, we write $C$ for $C(A)$. Then $C(A')=C\,'$ and $C\,'\subset C$.
\begin{lem}
\label{lem:existk}
There exists a binary linear block code $K$ so that
\[C=C\,' \oplus K.
\]
\end{lem}
\begin{proof}
From Corollary~\ref{cor:cplus} and basic linear algebra, there exists a vector subspace $K$ of $\ZZ_2^n$ that is a vector space complement of
$C\,'$ in $C$.
\end{proof}
Note that $K$ is not necessarily uniquely defined. It is, however, uniquely defined up to adding vectors in $C\,'$. So a more invariant approach would be to use $C/C\,'$ instead of $K$, but $K$ has the advantage of being a code, therefore more concrete for computational purposes.
The interpretation of $K$ can be obtained by examining the set $V^0=A_L^0\cap A_R^0$. Since $A_L^0$ has only left-moving edges and $A_R^0$ has only right-moving edges, $V^0$ has no edges at all: only vertices. Furthermore, for every $v\in V^0$, we have $h_L(v)=h_L(\overline{0})$ and $h_R(v)=h_R(\overline{0})$ so all of the vertices in $V^0$ have the same bigrading.
We now show that there is a bijection between $K$ and $V^0$. As before, for every $\vec{x}\in\ZZ_2^n$, we write $\vec{x}=\vec{x}_L+\vec{x}_R$, where $\vec{x}_L$ is zero in the last $q$ bits and $\vec{x}_R$ is zero in the first $p$ bits. Using this notation, we have the following theorem:
\begin{thm}
\label{thm:kv0}
The map $\Psi:K\to V^0$
given by $\Psi(\vec{x})=\vec{x}_L\overline{0}$ is a bijection.
\end{thm}
\begin{proof}
If $\vec{x}\in K\subset C(A)$, then $(\vec{x}_L+\vec{x}_R)\overline{0}=\overline{0}$, so $\vec{x}_L\overline{0}=\vec{x}_R\overline{0}$. So $\Psi(\vec{x})\in A_L^0\cap A_R^0=V^0$.
To prove $\Psi$ is one-to-one, suppose $\Psi(\vec{x})=\Psi(\vec{y})$. Then $\vec{x}_L\overline{0}=\vec{y}_L\overline{0}$. Therefore $\vec{x}_L+\vec{y}_L\in C(A_L^0)$. Likewise $\vec{x}_R+\vec{y}_R\in C(A_R^0)$. So $\vec{x}+\vec{y}\in C\,'$. Since $C\,'\cap K=\{\vec{0}\}$, we have that $\Psi$ is one-to-one.
To prove $\Psi$ is onto, let $v\in V^0$. Since $v\in A_L^0$, there exists $\vec{x}_L$ with last $q$ bits zero, so that $\vec{x}_L\overline{0}=v$ in $A_L^0$. Likewise there exists $\vec{x}_R$ with first $p$ bits zero, so that $\vec{x}_R\overline{0}=v$ in $A_R^0$. Then $\vec{x}=\vec{x}_L+\vec{x}_R\in C(A)$. Since $C(A)=C\,'\oplus K$, we can write $\vec{x}=\vec{c}+\vec{k}$ where $\vec{c}\in C\,'$ and $\vec{k}\in K$. By the fact that $C\,'=Z_L(C(A_L^0))\oplus Z_R(C(A_R^0))$, we have that $\vec{c}_L\in Z_L(C(A_L^0))$ and so $\vec{c}_L\overline{0}=\overline{0}$. Then
$\Psi(\vec{k})=\vec{k}_L\overline{0}
=(\vec{x}_L-\vec{c}_L)\overline{0}
=\vec{x}_L(\vec{c}_L(\overline{0}))
=\vec{x}_L(\overline{0})
=v.$
\end{proof}
\begin{ex}
Let $p=4$ and $q=2$ and the generating matrix for $C$ be
\[\left[\begin{array}{cccc|cc}
1&1&1&1&0&0\\
0&0&1&1&1&1
\end{array}\right].\]
Then $Z_L(C(A_L^0))$ has generating vector $\vec{m} = \left[\begin{array}{cccc|cc}
1&1&1&1&0&0\\
\end{array}\right]$ and $Z_R(C(A_R^0))=\{\vec{0}\}$, the trivial code. We therefore see that $A_L^0$ is a $1$-d Adinkra with four colors with code with generating vector
$\left[\begin{array}{cccc}
1&1&1&1\\
\end{array}\right]$ and $A_R^0$ is a $1$-d Adinkra with two colors with trivial code. The code $K$ can be chosen to be generated by $\vec{k} = \left[\begin{array}{cccc|cc}
0&0&1&1&1&1
\end{array}\right]$. Another choice for $K$ would have been the code generated by
\[\vec{k} + \vec{m} = \left[\begin{array}{cccc|cc}
1&1&0&0&1&1
\end{array}\right].\]
See Figure~\ref{fig:example-quotient} for this example. To use Theorem~\ref{thm:kv0}, we start at $\overline{0}$ and follow an edge of color $3$, then an edge of color $4$, which uses the left-moving edges in $001111$. This brings us to a new vertex, which is in $V^0$. This vertex, and $\overline{0}$ itself, are the two elements of $V^0$, corresponding to the two elements of $K$.
\end{ex}
\begin{figure}
\begin{center}
\begin{tabular}{c|c}
\begin{tikzpicture}[scale=0.07]
\SetVertexSimple[MinSize=5pt]
\SetUpEdge[labelstyle={draw}]
\Vertex[x=0,y=0]{000000}
\Vertex[x=-40,y=40]{000100}
\Vertex[x=-30,y=40]{001000}
\Vertex[x=10,y=0]{001100}
\Vertex[x=-20,y=40]{010000}
\Vertex[x=20,y=0]{010100}
\Vertex[x=30,y=0]{011000}
\Vertex[x=-10,y=40]{011100}
\Vertex[x=30,y=40]{000001}
\Vertex[x=0,y=80]{000101}
\Vertex[x=10,y=80]{001001}
\Vertex[x=40,y=40]{001101}
\Vertex[x=20,y=80]{010001}
\Vertex[x=50,y=40]{010101}
\Vertex[x=60,y=40]{011001}
\Vertex[x=30,y=80]{011101}
\Edge[color=blue](000000)(000100)
\Edge[color=blue](001000)(001100)
\Edge[color=blue](010000)(010100)
\Edge[color=blue](011000)(011100)
\Edge[color=blue](000001)(000101)
\Edge[color=blue](001001)(001101)
\Edge[color=blue](010001)(010101)
\Edge[color=blue](011001)(011101)
\Edge[color=red](000000)(001000)
\Edge[color=red](000100)(001100)
\Edge[color=red](010000)(011000)
\Edge[color=red](010100)(011100)
\Edge[color=red](000001)(001001)
\Edge[color=red](000101)(001101)
\Edge[color=red](010001)(011001)
\Edge[color=red](010101)(011101)
\Edge[color=yellow](000000)(010000)
\Edge[color=yellow](011100)(001100)
\Edge[color=yellow](000100)(010100)
\Edge[color=yellow](011000)(001000)
\Edge[color=yellow](000001)(010001)
\Edge[color=yellow](001001)(011001)
\Edge[color=yellow](000101)(010101)
\Edge[color=yellow](001101)(011101)
\Edge[color=green](000000)(011100)
\Edge[color=green](001000)(010100)
\Edge[color=green](010000)(001100)
\Edge[color=green](011000)(000100)
\Edge[color=green](000001)(011101)
\Edge[color=green](001001)(010101)
\Edge[color=green](010001)(001101)
\Edge[color=green](011001)(000101)
\Edge[color=black](000000)(001101)
\Edge[color=black](000100)(001001)
\Edge[color=black](010000)(011101)
\Edge[color=black](010100)(011001)
\Edge[color=black](000001)(001100)
\Edge[color=black](000101)(001000)
\Edge[color=black](010001)(011100)
\Edge[color=black](010101)(011000)
\Edge[color=purple](000000)(000001)
\Edge[color=purple](000100)(000101)
\Edge[color=purple](010000)(010001)
\Edge[color=purple](010100)(010101)
\Edge[color=purple](001000)(001001)
\Edge[color=purple](001100)(001101)
\Edge[color=purple](011000)(011001)
\Edge[color=purple](011100)(011101)
\end{tikzpicture} &
\begin{tikzpicture}[scale=0.1]
\SetVertexSimple[MinSize=5pt]
\SetUpEdge[labelstyle={draw}]
\Vertex[x=0,y=0]{000000}
\Vertex[x=0,y=40]{000100}
\Vertex[x=10,y=40]{001000}
\Vertex[x=10,y=0]{001100}
\Vertex[x=20,y=40]{010000}
\Vertex[x=20,y=0]{010100}
\Vertex[x=30,y=0]{011000}
\Vertex[x=30,y=40]{011100}
\Edge[color=blue](000000)(000100)
\Edge[color=blue](001000)(001100)
\Edge[color=blue](010000)(010100)
\Edge[color=blue](011000)(011100)
\Edge[color=red](000000)(001000)
\Edge[color=red](000100)(001100)
\Edge[color=red](010000)(011000)
\Edge[color=red](010100)(011100)
\Edge[color=yellow](000000)(010000)
\Edge[color=yellow](011100)(001100)
\Edge[color=yellow](000100)(010100)
\Edge[color=yellow](011000)(001000)
\Edge[color=green](000000)(011100)
\Edge[color=green](001000)(010100)
\Edge[color=green](010000)(001100)
\Edge[color=green](011000)(000100)
\Vertex[x=45,y=0]{000000'}
\Vertex[x=55,y=0]{001100'}
\Vertex[x=45,y=40]{000001'}
\Vertex[x=55,y=40]{001101'}
\Edge[color=black](000000')(001101')
\Edge[color=black](000001')(001100')
\Edge[color=purple](000000')(000001')
\Edge[color=purple](001100')(001101')
\end{tikzpicture}
\end{tabular}
\end{center}
\caption{Left: a $2$-d Adinkra with dashes omitted. Right: picking any vertex and looking at connected components give us a pair of $1$-d Adinkras $A_L^0$ and $A_R^0$, the product of which contains as a quotient the original Adinkra; in this case we quotient via a $1$-dimensional code $K$ of size $2^1 = 2$, obtaining the desired $8 \times 4 / 2 = 16$ vertices. \label{fig:example-quotient}}
\end{figure}
\begin{ex}
Let $p=q=4$ and consider the following generating matrix for $C$:
\[\left[\begin{array}{cccc|cccc}
1&1&0&0&1&1&0&0\\
1&1&1&1&1&1&1&1\\
0&0&1&1&1&1&0&0\\
1&0&1&0&1&0&1&0
\end{array}\right]\]
If we let $\vec{x}_1, \ldots, \vec{x}_4$ be the rows of this matrix, we see that $\vec{x}_1+\vec{x}_3$ has zeros on the right side of the vertical line. Other than the zero word, no other combination has all zeros on the right side, so $Z_L(C(A_L^0))$ has generating matrix/vector $\left[\begin{array}{cccc|cccc}
1&1&1&1&0&0&0&0
\end{array}\right]$ and $C(A_L^0)$ has generating matrix/vector $\left[\begin{array}{cccc}
1&1&1&1
\end{array}\right].$
Likewise we can find $\vec{x}_1+\vec{x}_2+\vec{x}_3$ which is the unique nonzero codeword with all zeros on the left side, and so $Z_R(C(A_R^0))$ has generating matrix/vector
\[\left[\begin{array}{cccc|cccc}
0&0&0&0&1&1&1&1
\end{array}\right]\]
and $C(A_R^0)$ has generating matrix $\left[\begin{array}{cccc}
1&1&1&1
\end{array}\right].$ Then $A_L^0$ and $A_R^0$ are both $1$-d Adinkras with $4$ colors with code generated by $1111$, and $K$ can be taken to be (for instance)
\[\left[\begin{array}{cccc|cccc}
0&0&1&1&1&1&0&0\\
1&0&1&0&1&0&1&0
\end{array}\right].\]
Standard arguments in linear algebra allow us to choose the generating basis for $C$ to consist of a generating basis for $Z_L(C(A_L^0))$, then a generating basis for $Z_R(C(A_R^0))$, then a generating basis for $K$. In this case, we would write
\[\left[\begin{array}{cccc|cccc}
1&1&1&1&0&0&0&0\\\hline
0&0&0&0&1&1&1&1\\\hline
0&0&1&1&1&1&0&0\\
1&0&1&0&1&0&1&0
\end{array}\right]\]
where the horizontal lines separate the three subspaces. Each line has weight a multiple of $4$, where the first two lines have the $1$s all on one side or the other, while the last two lines (the ones responsible for $K$) have the $1$s split on both sides in a way that both sides have even weight.
Then $V^0$ has four elements: $\overline{0}$, $(00110000)\overline{0}$, $(10100000)\overline{0}$, and $(10010000)\overline{0}$.
\end{ex}
While not necessary for proving the main theorem of this paper, \cite{hubsch:weaving} also asked how to classify ESDE codes. It turns out that the answer is fairly concise. To do this, it is useful to extend the notion of the splitting of $n$ into $p+q$. In particular, instead of insisting that the left-moving colors be written as the first $p$ bits, we partition $[n]$ into $[n]=L\cup R$ such that $|L|=p$ and $|R|=q$. We fix $n$ and a doubly even code $C$, then characterize which partitions into $L$ and $R$ make $C$ an ESDE.
\begin{thm}
\label{thm:esdeclassify}
Given a doubly even code $C$ of length $n$, there is a bijection between codewords in $C^\perp$ and (ordered) partitions $L \cup R$ that make $C$ into an ESDE. There are $2^{n-k}$ such partitions.
\end{thm}
\begin{proof}
Consider a partition $L \cup R$ that makes $C$ into an ESDE, and consider the codeword $w$ that is defined to have $1$ at all the positions in $L$ and $0$ at all the positions in $R$. By definition of ESDE codes, all codewords in $C$ have an even number of $1$'s in the support of $w$, which is equivalent to saying that $w$ is orthogonal to all the codewords in $C$. Thus, $w \in C^\perp$. Conversely, for any $w \in C^\perp$, $w$ is orthogonal to all codewords in $C$ and thus give an ESDE. Thus, there is a bijection between the two sets. Note these are ordered partitions; the codeword which has $1$ at all the positions in $R$ and $0$ otherwise would give the same partition, but in reversed order.
\end{proof}
\section{Proof of Main Theorem}
\label{sec:quotient}
In this section we prove the main theorem of the paper, Theorem~\ref{thm:main}. This refers to a connected $2$-d Adinkra $A$ with $(p,q)$ colors. As in Section~\ref{sec:code2d} we pick a vertex $\overline{0}$ in $A$ and define $A_L^0$ and $A_R^0$. We use Construction~\ref{const:product} to define $A'=A_L^0\times A_R^0$ and let $C=C(A)$ and $C\,'=C(A')=Z_L(C(A_L^0))\oplus Z_R(C(A_R^0))$. Let $K$ be a code such that $C=C\,' \oplus K$ (the existence of which is guaranteed by Lemma~\ref{lem:existk}).
We now try to prove the following restatement of Theorem~\ref{thm:main}:
\begin{thm}
\label{thm:quotient}
Let $A$ be a connected $2$-d Adinkra. Then there is a vertex switching $F$ and an action of the code $K$ on $F(A')$ that preserves colors, dashing, and bigrading, such that
\[A\cong F(A')/K \]
as an isomorphism of $2$-d Adinkras (that is, as an isomorphism of graphs that preserves colors, dashing, and bigrading).
\end{thm}
We prove Theorem~\ref{thm:quotient} in two steps, by first constructing a (color and bigrading preserving) graph isomorphism $\tilde{\Phi}:A'/K\to A$ and then finding a suitable vertex switching $F$.
\begin{thm}
\label{thm:isocolors}
The code $K$ acts on $A'$ via color preserving isomorphisms to produce a quotient $A'/K$. There is a color preserving graph epimorphism $\Phi:A' \to A$ that sends $(\overline{0},\overline{0})$ to $\overline{0}$. This descends to $A'/K$ to produce a color preserving graph isomorphism $\tilde{\Phi}:A'/K\to A$.
\end{thm}
\begin{proof}
Let $I^n$ be the colored Hamming cube: that is, a graph with vertex set $\{0,1\}^n$ and two vertices are connected with an edge of color $i$ if they differ only in bit $i$. Recall from Theorem~\ref{thm:1d-quotients} that every connected Adinkra is, as a colored graph, the quotient of $I^n$ by the code for the Adinkra. So we have $I^n/C \cong A$ and $I^n/C\,'\cong A'$. These are isomorphisms as colored graphs. They can be chosen so that $\vec{0}=(0,\ldots,0)$ is sent to $\overline{0}$ in $A$ and $(\overline{0},\overline{0})$ in $A'$, respectively.
Now $K$ is a doubly even code, and $K\cap C\,'=0$, so $K$ acts on $I^n/C\,'$ and on $A'$ in a way that nontrivial elements of $K$ move vertices a distance greater than $2$. By the content of the proof of the extension of Theorem~\ref{thm:1d-quotients} in \cite{zhang:adinkras}, this means we can quotient the colored graph $I^n/C\,'$, and thus $A'$, by $K$. We then have the following commutative diagram of colored graphs:
\[
\begin{CD}
I^n/C\,' @>i_1>\cong> A'\\
@VV\pi_1 V @VV\pi_2 V\\
(I^n/C\,')/K @>i_2>\cong> A'/K\\
\end{CD}
\]
A standard argument gives
\[(I^n/C\,'\,)/K \cong I^n/(C\,'\oplus K)=I^n/C,\]
and adding this to the above commutative diagram, we then have:
\[
\xymatrixcolsep{5pc}
\xymatrix{
I^n/C\,' \ar[d]^{\pi_1} \ar[r]^{i_1}_{\cong} &A'\ar[d]^{\pi_2}\ar@/^2pc/[dd]^{\Phi} \\
(I^n/C\,')/K \ar[d]^{i_4}_{\cong} \ar[r]^{i_2}_\cong &A'/K\ar[d]_{\cong}^{\tilde{\Phi}}\\
I^n/(C\,'\oplus K) \ar[r]^{i_3}_\cong &A.}
\]
where $\tilde{\Phi}=i_3\circ i_4\circ i_2^{-1}$ and $\Phi=\tilde{\Phi}\circ \pi_2$. Then $\tilde{\Phi}$ is an isomorphism of colored graphs, and $\Phi$ is an epimorphism of colored graphs. Standard diagram chasing shows that $\Phi(\overline{0},\overline{0})=\overline{0}$.
\end{proof}
It will be useful to have the following result:
\begin{lem}
\label{lem:gphi}
If $\vec{x}\in \ZZ_2^n$, then $\Phi(\vec{x}(v_1,v_2))=\vec{x}\Phi(v_1,v_2).$
\end{lem}
\begin{proof}
For $\vec{x}=\vec{e}_i$, the vector that is $1$ in component $i$ and $0$ otherwise, this lemma is the statement that $\Phi$ is color-preserving. By composing many maps of this type, we get the statement for all vectors $\vec{x}\in \ZZ_2^n$.
\end{proof}
\begin{lem}
\label{lem:phisides}
For all $v\in A_L^0$, $\Phi(v,\overline{0})=v$, and for all $w\in A_R^0$, $\Phi(\overline{0},w)=w$. In particular, $\Phi$ restricted to $A_L^0\times\{\overline{0}\}$ is an isomorphism onto its image, and likewise for $\Phi$ restricted to $\{\overline{0}\}\times A_R^0$.
\end{lem}
\begin{proof}
Let $\vec{x}\in \ZZ_2^p$ be such that $\vec{x}\overline{0}=v$. By Lemma~\ref{lem:gphi}, $\Phi(v,0) = \Phi(Z_L(\vec{x})(\overline{0},\overline{0})) = Z_L(\vec{x})\Phi(\overline{0},\overline{0})=Z_L(\vec{x})\overline{0}=v$. The proof for $w$ is similar.
\end{proof}
\begin{lem}
\label{lem:phiformula}
Let $(v,w)\in A'$, with $w=\vec{x}\overline{0}$. Then $\Phi(v,w)=Z_R(\vec{x})v.$
\end{lem}
\begin{proof}
We have $\Phi(v,\overline{0})=v$ from Lemma~\ref{lem:phisides}. Act on both sides with $Z_R(\vec{x})$, and using Lemma~\ref{lem:gphi}, the result follows.
\end{proof}
\begin{lem}
\label{lem:mainepibigrading}
The graph epimorphism $\Phi$ preserves the bigrading.
\end{lem}
\begin{proof}
Let $(v,w)\in A'$ with $w=\vec{x}\overline{0}$. By Lemma~\ref{lem:phiformula}, we get
\[h_L(\Phi(v,w))=h_L(Z_R(\vec{x})v).\]
Since $Z_R(\vec{x})$ follows right-moving colors, this does not affect $h_L$, and so the above is equal to $h_L(v)$. In $A'=A_L^0\times A_R^0$, this is $h_L(v,w)$. Therefore $\Phi$ preserves $h_L$. The fact that it preserves $h_R$ is proved similarly.
\end{proof}
\begin{lem}
\label{lem:kgrading}
If $\vec{x}\in K$, and $(v_1,v_2)\in A_L^0\times A_R^0$, then $\vec{x}(v_1,v_2)$ has the same bigrading as $(v_1,v_2)$.
\end{lem}
\begin{proof}
This follows from Lemma~\ref{lem:mainepibigrading} and the fact that $K\subset C(A)$, so if $\vec{x}\in K$, then $\vec{x}\Phi(v_1,v_2)=\Phi(v_1,v_2)$.
\end{proof}
\begin{thm}
\label{thm:isograding}
The code $K$ acts on $A'$ via color and bigrading preserving isomorphisms to produce a quotient $A'/K$. The map $\Phi$ (resp. $\tilde{\Phi}$) is a color and bigrading preserving epimorphism (resp. isomorphism).
\end{thm}
\begin{proof}
This theorem builds on Theorem~\ref{thm:isocolors}. Lemma~\ref{lem:kgrading} means that the action of $K$ on $A'$ preserves the bigrading. Lemma~\ref{lem:mainepibigrading} provides the rest of this theorem.
\end{proof}
Unfortunately, it is too much to expect $\Phi$ to preserve the dashing, or even that the dashing on $A'=A_L^0\times A_R^0$ is invariant under the action of $K$ (so that $A'/K$ could have an obviously well-defined dashing). However, if we allow the operation of \emph{vertex switching}, then we can basically accomplish these goals, giving $F$ of Theorem~\ref{thm:quotient}.
Consider the dashing $\mu$ on $A$. This restricts to $A_L^0$ and $A_R^0$, and Construction~\ref{const:product} produces a dashing $\mu_1$ on $A'=A_L^0\times A_R^0$. The graph homomorphism $\Phi:A'\to A$ pulls back the dashing $\mu$ to $\mu_2$ on $A'$. While $\mu_1$ and $\mu_2$ can be different, they agree on the following parts of the Adinkra:
\begin{lem}
\label{lem:agree-on-boundary}
The dashings $\mu_1$ and $\mu_2$ agree on $A_L^0\times \{\overline{0}\}$ and on $\{\overline{0}\}\times A_R^0$.
\end{lem}
\begin{proof}
The construction of $\mu_1$ gives each edge in $A_L^0\times\{\overline{0}\}$ the same dashing as in $A_L^0$ under the association of every edge $(v,w)$ with $((v,\overline{0}),(w,\overline{0}))$. Lemma~\ref{lem:phisides} shows that the same is true for $\mu_2$. Therefore $\mu_1$ and $\mu_2$ agree on $A_L^0\times\{\overline{0}\}$. Likewise for $\{0\}\times A_R^0$.
\end{proof}