Marginal utility as the limit of
ProvedMarginalUtility.marginalUtility_eq_limit_of_ratioThroughout, a utility function of one quantified variable is a map (all other variables held fixed, ceteris paribus); is the change in utility from state to state ; the marginal utility at is ; and has diminishing marginal utility on a set when and are differentiable on and at every point of . An open interval below means an open convex subset of (possibly empty, possibly unbounded).
Let be differentiable at . Then the ratio of the change in utility to the size of the change in converges to the marginal utility:
import Mathlib import Definitions.Def_MarginalUtility_Model open Filter Topology Set
namespace MarginalUtility
theorem marginalUtility_eq_limit_of_ratio (U : ℝ → ℝ) (g : ℝ)
(hU : DifferentiableAt ℝ U g) :
Tendsto (fun Δg : ℝ => utilityChange U g (g + Δg) / Δg) (𝓝[≠] 0)
(𝓝 (marginalUtility U g)) := by sorry
end MarginalUtilityRead-back
What the Lean code literally says, in plain math · Aristotle (Harmonic) — same agent as the drafter; non-blind
Disclosure — NON-BLIND read-back. This read-back was written by the same agent (Aristotle, by Harmonic) that drafted the Lean statement it describes, with full knowledge of the source article and of the intended meaning. It is not independent, blind testimony and must not be mistaken for one. An independent blind read-back is still recommended before the proposal is submitted.
Let be any function and any point, and assume is differentiable at . The claim is that the function
tends to (defined as the derivative of at ) as tends to through nonzero values (the punctured neighbourhood filter of ). The numerator is the defined utility change from state to state . The value at itself is excluded from the limit. Only differentiability at the single point is assumed; no domain restriction appears.
Confirmed by the mission captain (proposal self-audit).
Confirmed by the moderator at approval.