Can any expert explain the reasoning behind the constraint in the following formulation of the minimum spanning tree?

To formulate the minimum-cost spanning tree (MST) problem as an LP, we associate a variable $x_e$ with every edge $e \in E$. Each spanning tree $T$ corresponds to its incidence vector $x^T$, which is defined by $x^T_e = 1$ if $T$ contains $e$ and $x^T_e = 0$ otherwise. Let $\Pi$ denote the set of all partitions of the vertex set $V$, and suppose that $\pi \in \Pi$. The rank $r(\pi)$ of $\pi$ is the number of parts of $\pi$. Let $E_\pi$ denote the set of edges whose ends lie in different parts of $\pi$. Consider the following LP: $$ \begin{align*} \min &\sum_{e \in E} c_ex_e \\ \text{s.t. } &\sum_{e \in E_\pi} x_e \geq r(\pi) - 1 \quad \forall \pi \in \Pi, \\ & x \geq 0. \\ \end{align*} $$

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    $\begingroup$ As I suggested the last time you asked a similar question, I suggest working through a small example by hand, and see what happens if you include that constraint and what happens if you leave it out. $\endgroup$
    – D.W.
    Jan 16 '20 at 22:19
  • $\begingroup$ I tried but still not clear. $\endgroup$ Jan 17 '20 at 0:24
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    $\begingroup$ Cool, why don't you share with us a summary of what you've come up with and show some examples that illustrate why this is interesting/unclear? $\endgroup$
    – D.W.
    Jan 17 '20 at 0:50

The constraint expresses the following fact:

Let $T$ be a spanning tree, and suppose that we partition the vertex set into $r$ parts. There are exactly $r-1$ edges of $T$ which connect different parts.

For example, if $T$ is a tree and $C,\overline{C}$ is a cut, then exactly one edge of $T$ crosses the cut, that is, connects $C$ and $\overline{C}$.

  • $\begingroup$ Thank you for your comment. My question was the reasoning behind the constraint, not what it means. Ie, my question was why such a constraint should hold. $\endgroup$ Jan 16 '20 at 21:50
  • $\begingroup$ Well, that's a nice exercise. $\endgroup$ Jan 16 '20 at 21:50

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