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\autoref{thm:kcut} reduces minimum $k$-cut problem on hypergraphs to minimum $k$-cocycle on hypergraphic matroids. Now we try to apply the ideal base packing framework on hypergraphic matroids. \autoref{thm:kcut} reduces minimum $k$-cut problem on hypergraphs to minimum $k$-cocycle on hypergraphic matroids. Now we try to apply the ideal base packing framework on hypergraphic matroids.
\begin{lemma} \begin{conjecture}
Let $H$ be a parititon-connected hypergraph and let $M$ be the hypergraphic matroid on $H$. Let $H$ be a parititon-connected hypergraph and let $M$ be the hypergraphic matroid on $H$.
There is a distribution $\mathcal D$ on $k$-cocycles such that for any base in the ideal base packing, the expected size of their intersection is at most $2k$. There is a distribution $\mathcal D$ on $k$-cocycles such that for any base in the ideal base packing, the expected size of their intersection is at most $\max\set{\gamma,2k}$.
\end{lemma} \end{conjecture}
\begin{proof} This is not true. Consider a hypergraph with $\gamma\in[h-k-1,h+1]$ and an ideal base that every inter-component hyperedge has size $\gamma$. One can see that $e_B(\mathcal Q)$ has an upperbound $h$.
Let flat $F\in \argmin_{F'\subset E}\frac{|E-F'|}{r(E)-r(F')}$ be the optimal set for matroid strength. I think in general one cannot do better than $\gamma k$.
Each flat in $M$ induces a vertex partition $\mathcal P_F$ by its forest representation.
One can see that $|\mathcal P|=r(E)-r(F)+1$. Now we randomly pick $r(E)-r(F)+1-k$ parts and merge them into a new component.
Let $\mathcal P'$ be the resulting partition and let $B$ be any ideal base of $M$.
We have $e_B(\mathcal P)=r(E)-r(F)$ since $B$ is ideal. Now we count the expected number of $e_B(\mathcal P')$,
\[
\begin{aligned}
\E_{\mathcal D}[e_B(\mathcal P')] &\leq e_B(\mathcal P)\Pr[\text{a hyperedge is not contained in the new part}] \\
&\leq (r(E)-r(F))\cdot ???
\end{aligned}
\]
Note that the first inequality is because $\mathcal P'$ may induce a $\geq k$-cocycle, the second one ...
\end{proof}
\section{Greedy base packing} \section{Greedy base packing}