This appendix details the mathematical proofs and performance analysis underlying a blockchain transaction fee mechanism. It compares the expected outcomes of algorithmic (ALG) versus adversarial (ADV) scheduling, defines key parameters like miner power, immediacy ratio, and discount factors, and provides a glossary of symbols and acronyms used throughout the paper. The section reinforces the theoretical foundation for non-myopic allocation rules and miner revenue optimization under Proof-of-Work (PoW) and Proof-of-Stake (PoS) models.This appendix details the mathematical proofs and performance analysis underlying a blockchain transaction fee mechanism. It compares the expected outcomes of algorithmic (ALG) versus adversarial (ADV) scheduling, defines key parameters like miner power, immediacy ratio, and discount factors, and provides a glossary of symbols and acronyms used throughout the paper. The section reinforces the theoretical foundation for non-myopic allocation rules and miner revenue optimization under Proof-of-Work (PoW) and Proof-of-Stake (PoS) models.

The Math Behind Blockchain Scheduling and Transaction Fee Mechanisms

2025/10/14 16:00
3 min read
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Abstract and 1. Introduction

1.1 Our Approach

1.2 Our Results & Roadmap

1.3 Related Work

  1. Model and Warmup and 2.1 Blockchain Model

    2.2 The Miner

    2.3 Game Model

    2.4 Warm Up: The Greedy Allocation Function

  2. The Deterministic Case and 3.1 Deterministic Upper Bound

    3.2 The Immediacy-Biased Class Of Allocation Function

  3. The Randomized Case

  4. Discussion and References

  • A. Missing Proofs for Sections 2, 3
  • B. Missing Proofs for Section 4
  • C. Glossary

\

A: Missing Proofs for Sections 2, 3

\

\ \ \

\ \ \

\ \ \

\ \ \

\ \ \

\ \ We now note that a few facts that hold true for any n when x1 ≥ ℓ + ϵ:

\ \

\ \ \

\ \ \

\ \ \

\ \ \

\ \ \

\ \ \

\ \ We separate to several subcases:

\ \

\ \ \

\ \ \

\ \ \

\ \ \

\ \ \

\ \

B Missing Proofs for Section 4

\ We now compare ALG and ADV ’s performance in different steps along the adversary schedule, separating the steps before n and the last two steps.

\ Step i < n.

\ ALG expected performance:

\

\ Notice that this amortization of considering the i + 1 is only relevant for ADV, as ALG in such case necessarily has no transactions remaining to choose from at step i + 1.

\

\ where the last transition is since for any 0 ≤ λ ≤ 1, the expression

\

\ We now move on to analyze steps n, n + 1.

\ ALG expected performance at step n, n + 1:

\

\ As the base case, consider k = n. Then,

\

\ For the inductive step,

\

\ We thus need to show that

\

\

\

\

\

\ With this potential function, we can thus write at step i,

\

\

C Glossary

A summary of all symbols and acronyms used in the paper.

C.1 Symbols

ψ Transaction schedule function.

\ x Allocation function.

\ B Predefined maximal block-size, in bytes.

\ λ Miner discount factor.

\ ϕ Transaction fee of some transaction, in tokens.

\ T Miner planning horizon.

\ ℓ Immediacy ratio for our non-myopic allocation rule.

\ µ TTL of past transactions.

\ α Miner’s relative mining power, as a fraction. u Miner revenue.

\ t TTL of a transaction.

\ tx A transaction.

C.2 Acronyms

mempool memory pool

\ PoS Proof-of-Stake

\ PoW Proof-of-Work

\ QoS quality of service

\ TFM transaction fee mechanism

\ TTL time to live

\ \

:::info Authors:

(1) Yotam Gafni, Weizmann Institute (yotam.gafni@gmail.com);

(2) Aviv Yaish, The Hebrew University, Jerusalem (aviv.yaish@mail.huji.ac.il).

:::


:::info This paper is available on arxiv under CC BY 4.0 DEED license.

:::

[2] The argument of [CCFJST06] is done by showing conditions that hold for any fixed x ∈ [−1, 0], and so they hold for any fixed x ∈ [−λ, 0] as well.

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