Myerson Payment Construction
withMyersonPayment is the constructive operator that takes a
single-parameter allocation rule $x : (I \to \mathbb{R}) \to (I \to \mathbb{R})$
and returns the mechanism with Myerson payments
([[mechanism_design.myerson.payment_formula]]) attached.
If the input allocation rule is monotone, the resulting mechanism is DSIC — this is the implementability half of the Myerson characterisation ([[mechanism_design.myerson.monotonicity_characterization]]).
Quasi-linear utility after attachment
The companion lemma withMyersonPayment_quasiLinearUtility_eq gives the
explicit utility expression after Myerson payments are attached:
$$
u_i(b_i; b_{-i}) \;=\; v_i \cdot x_i(b_i, b_{-i})
\;-\; \int_0^{b_i} x_i(z, b_{-i})\, dz.
$$
When $b_i = v_i$ (truthful reporting), this collapses to $\int_0^{v_i} (x_i(v_i, b_{-i}) - x_i(z, b_{-i}))\, dz \ge 0$ whenever $x_i$ is monotone in its first argument — yielding both DSIC (truthful reporting is best) and ex-post IR (utility is non-negative).
Where this sits
- Definition layer: this node.
withMyersonPaymentis the operator itself, and the utility-equality lemma is its definitional unfolding. - Characterisation layer: [[mechanism_design.myerson.monotonicity_characterization]] proves monotone $\Leftrightarrow$ implementable using this operator.
- Formula layer: [[mechanism_design.myerson.payment_formula]] gives the Myerson payment integral itself.
References
- [AGT Chapter 9, §9.5.4] Nisan, Roughgarden, Tardos, and Vazirani, Algorithmic Game Theory. Single-parameter Myerson payment attachment.
- Myerson, R. B. (1981). "Optimal Auction Design". Math. Oper. Res. 6: 58–73.