--- name: mathfin-writing-style description: Use when polishing a Mathematical Finance (Wiley) manuscript's theorem-first exposition — definitions, numbered assumptions, theorem statements, proof sketches, appendices, notation discipline for a stochastic-analysis readership, numerical-experiment prose, and the financial-modelling intuition that accompanies each formal result. --- # Writing Style (mathfin-writing-style) ## When to trigger - The proofs are correct but the paper is hard to read - The introduction states results without financial modelling intuition - Definitions, assumptions, theorem numbering, or appendix references are inconsistent ## Style principles - **Define before use.** Probability space, filtration, admissible strategies, integrability, market model, and payoff objects must be explicit. - **Number assumptions and results.** Reuse labels consistently. - **State theorem scope precisely.** Hypotheses and conclusions should be visible without searching prose. - **Separate intuition from proof.** Give financial meaning before technical proof, then keep the proof self-contained. - **Use appendices deliberately.** Put long derivations there while keeping the main text focused on result, intuition, and modelling payoff. ## Theorem paragraph pattern ```text Under Assumptions (A1)-(A3), Theorem 2.1 establishes [formal result]. In financial terms, this means [pricing/hedging/risk/portfolio interpretation]. The proof combines [main tools] and is given in [location]. ``` ## Proof hygiene - Check local martingale versus true martingale claims. - State integrability and measurability conditions. - Do not cite a theorem without verifying its hypotheses. - Avoid "straightforward" for load-bearing steps. - Keep notation stable across the main text and appendix. ## Symbol conventions the readership expects | Object | Conventional usage | Drift to avoid | | --- | --- | --- | | Filtration | (F_t) with the usual conditions stated once | switching between F_t and F(t) | | Physical / pricing measure | P / Q (or Q^*) | reusing Q for a generic measure mid-paper | | Brownian motion | W under P; W^Q after Girsanov | the same W under both measures without comment | | Admissible strategies | A or A(x), x the initial wealth | "admissible" used before A is defined | | Wealth / value process | X^pi or V | V doubling as value function and value process | | Value function | v(t,x), lowercase | v and V swapped between sections | | Stopping times | tau, ranging over a defined family T_{t,T} | tau ranging over an unspecified set | | Generator | L (or L^a in control problems) | applying L to functions outside its stated domain | ## Proof-sketch scaffold Before each long proof, give a three-to-five sentence sketch: ```text The proof proceeds in three steps. Step 1 establishes [a priori estimate] under (A2), which yields the uniform integrability needed later. Step 2 constructs the candidate [object] via [tool: Snell envelope / dual problem / fixed point]; this is where the new idea, [one phrase], enters. Step 3 verifies optimality and uniqueness by [verification argument]. Steps 1 and 3 are standard given Step 2 and are deferred to Appendix B. ``` The sketch tells a referee where the novelty lives and which parts may be verified quickly — exactly the separation of new idea from routine verification that this journal's culture prizes. ## Sentence-level habits for stochastic-analysis prose - Quantify every "small", "sufficiently regular", or "for t large" with a displayed condition. - Write "P-a.s." or "for Lebesgue-a.e. t" — never leave the null-set sense ambiguous. - Prefer "By Theorem 2.3 of [X], whose hypotheses hold by (A1) and Lemma 3.2," to a bare citation. - Keep proofs in one tense (present), and let displayed equations carry the algebra, not prose. ## Notation ledger Before polishing prose, create a notation ledger with columns for symbol, object, first definition, assumptions, theorem use, and appendix use. Use it to find: - one symbol used for multiple objects; - objects introduced only inside proofs but needed in theorem statements; - filtrations, measures, admissible sets, or payoff spaces that change silently; - assumptions cited in prose but absent from the theorem statement; - appendix notation that no longer matches the main text after revision. Mathematical Finance readers will forgive technical density more readily than notation drift. A clean ledger also shortens referee response time because every objection can be tied to a labelled object. ## Output format ```text [Section] intro / model / theorem / proof / numerics / appendix [Main clarity issue] ... [Formal precision fix] ... [Financial intuition fix] ... [Next step] mathfin-submission ```