(I’m finding it hard to work out a decent way of comparing diagrams that doesn’t get lost in details really quickly. Perhaps the problem is that I really only want to compare orderings of a given set of transactions after chunking them, not compare two orderings of potentially two different sets of transactions with arbitrary groupings)
Anyway, I guess the general case I’m going for here is
Those are comprised of the exact same txs, ie d_1, .., d_j and e_1, .., e_n, but in different orders. The QED step is setting j=n giving \zeta_j=\emptyset, and thus R_1 + (L_2 - R_1) = \epsilon_n + \delta_n \ge \gamma_n = L_2. \ge is a diagram comparison after chunking the txs, and +, \sum are concatenation.
The initial step for j=0 is easy: \delta_0 = \gamma_0 = \emptyset and \epsilon_n = \zeta_0 by construction.
The inductive step is to show \epsilon_n + \delta_{j+1} \ge \gamma_{j+1} + \zeta_{j+1}. To show that, we have:
Note that this chain is from best linearisation to worse. Steps are:
- inductive hypothesis
- moving d_{j+1} after \zeta_{j+1} improves things (observe that \zeta_{j+1} has a higher feerate than any chunk)
- reordering the chunk c_{j+1} into e_{j+1} + d_{j+1} doesn’t make things worse
Not sure how to properly formalise those steps yet, but I think they’re okay.