Stieltjes remainder monotonicity
Abstract
Strict inequalities for Stieltjes transforms of positive probability laws.
Theorem 1.1 (Integrability of the positive resolvent).
Lean statement: D5/S3/Analytic/WallisRemainder/Stieltjes.integrable_resolvent
Proof. Machine-checked in Lean as D5/S3/Analytic/WallisRemainder/Stieltjes.integrable_resolvent (✓ std3). ∎
Source. Repository-derived.
Commentary.
For z>0 and a probability measure concentrated on positive reals, v maps to 1/(z+v) is integrable. Measurability and the uniform bound 1/z give the result without a moment assumption.
Theorem 1.2 (Strict increase of the normalized Jensen remainder).
Lean statement: D5/S3/Analytic/WallisRemainder/Stieltjes.strictMonoOn_jensenRemainder
Proof. Machine-checked in Lean as D5/S3/Analytic/WallisRemainder/Stieltjes.strictMonoOn_jensenRemainder (✓ std3). ∎
Source. Repository-derived.
Commentary.
Let M be a probability measure on the real line concentrated on strictly positive values. Its Stieltjes transform is S(z)=integral 1/(z+v) dM(v). Let a be its finite mean, and suppose the centered second moment s=integral (v-a)^2 dM(v) is finite and strictly positive. Then z^3(S(z)-1/(z+a))/s is strictly increasing for z>0.
Centering gives S(z)-1/(z+a)=integral ((v-a)^2/(z+v)) dM(v)/(z+a)^2. Inside the resulting normalized integral, the kernel is the product (z/(z+a))^2 times z/(z+v). Both factors increase, and the kernel increases strictly for every positive v. Positive centered second moment ensures that the multiplier (v-a)^2 does not vanish almost everywhere.
Theorem 1.3 (Strict increase of the inverse transform offset).
Lean statement: D5/S3/Analytic/WallisRemainder/Stieltjes.strictMonoOn_inv_stieltjes_sub
Proof. Machine-checked in Lean as D5/S3/Analytic/WallisRemainder/Stieltjes.strictMonoOn_inv_stieltjes_sub (✓ std3). ∎
Source. Repository-derived.
Commentary.
For every probability measure M concentrated on positive reals and not concentrated at any single point, the function 1/S(z)-z is strictly increasing for z>0. No moment assumption is required.
For 0<x
Theorem 1.4 (Positive Stieltjes transform).
Lean statement: D5/S3/Analytic/WallisRemainder/Stieltjes.stieltjes_pos
Proof. Machine-checked in Lean as D5/S3/Analytic/WallisRemainder/Stieltjes.stieltjes_pos (✓ std3). ∎
Source. Repository-derived.
Commentary.
For a probability measure concentrated on strictly positive values and z>0, its transform satisfies 0<S(z). The strictly positive integrand is integrable and the measure has mass one; the resulting positivity ensures that the inverse transform expressions have nonzero denominators.
References
- Truth anchor:
D5/S3/Analytic/WallisRemainder/Stieltjes.integrable_resolvent - Truth anchor:
D5/S3/Analytic/WallisRemainder/Stieltjes.stieltjes_pos - Truth anchor:
D5/S3/Analytic/WallisRemainder/Stieltjes.strictMonoOn_inv_stieltjes_sub - Truth anchor:
D5/S3/Analytic/WallisRemainder/Stieltjes.strictMonoOn_jensenRemainder