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Real-Power Elasticity Monotonicity

Abstract

A real-power certificate makes the binary Renyi elasticity transform monotone for every real n at least one.

The parameter n is real. The monotonicity domain is the open interval (0,1), and n = 1 is included. Powers with the exponents n, n minus one and twice n use Real.rpow; the displayed square factors use natural exponent two. The definitions are total real functions, while the sign and derivative arguments below use strictly positive bases.

Definition 1.1 (Power-ratio transform).

Formalization. D5/S3/Entropy/RenyiCombining/CachinElasticityMonotone.T (✓ std3).

Source. Repository-derived.

Commentary.

T compares the difference and sum of one and the nth power of r.

Definition 1.2 (Logarithmic derivative factor).

Formalization. D5/S3/Entropy/RenyiCombining/CachinElasticityMonotone.A (✓ std3).

Source. Repository-derived.

Commentary.

This factor will equal t times the logarithmic derivative of T(n,(1-t)/(1+t)).

Definition 1.3 (Bias-times-transform factor).

Formalization. D5/S3/Entropy/RenyiCombining/CachinElasticityMonotone.B (✓ std3).

Source. Repository-derived.

Commentary.

The bias coordinate corresponding to r is (1-r)/(1+r).

Definition 1.4 (Elasticity transform).

Formalization. D5/S3/Entropy/RenyiCombining/CachinElasticityMonotone.F (✓ std3).

Source. Repository-derived.

Commentary.

F is the real-power expression for the elasticity of minus the derivative of binary Renyi entropy in bias coordinates.

The derivative certificate is J₁(n,z)=(n+1)(-1+n z^(n-1)-(n-1)z^n). It records the first derivative of J on positive bases.

The explicit derivative expressions are A₁(n,r)=n r^(n-2) J(n,r^2)/(1-r^(2n))^2, B₁(n,r)=-2 T(n,r)/(1+r)^2-2n((1-r)/(1+r))r^(n-1)/(1+r^n)^2, and F₁(n,r)=A₁(n,r)/(1+B(n,r))-(1+A(n,r))B₁(n,r)/(1+B(n,r))^2. These functions separate the derivative signs used in the positive and negative order regimes.

Theorem 1.5 (Derivative of the power-ratio transform).

Proof. Machine-checked in Lean as D5/S3/Entropy/RenyiCombining/CachinElasticityMonotone.T_hasDerivAt (✓ std3). ∎

Source. Repository-derived.

Commentary.

Only r > 0 is required; n is any real number. The proof directly uses Mathlib’s real-power derivative and the quotient rule.

Theorem 1.6 (Factoring the denominator of A).

Proof. Machine-checked in Lean as D5/S3/Entropy/RenyiCombining/CachinElasticityMonotone.A_eq (✓ std3). ∎

Source. Repository-derived.

Commentary.

For a positive base, the real-power product law identifies r to twice n with the square of r to n. Factoring the difference of squares gives this identity without a restriction on n.

Theorem 1.7 (Monotonicity of the elasticity transform).

Proof. Machine-checked in Lean as D5/S3/Entropy/RenyiCombining/CachinElasticityMonotone.monotoneOn_F (✓ std3). ∎

Source. Repository-derived.

Commentary.

For every real n at least one, F(n,r) is nondecreasing on (0,1). The proof in fact establishes a strictly positive derivative on that interval.

Theorem 1.8 (Antitonicity at negative parameters).

Proof. Machine-checked in Lean as D5/S3/Entropy/RenyiCombining/CachinElasticityMonotone.antitoneOn_F_neg (✓ std3). ∎

Source. Repository-derived.

Commentary.

For -1 < n < 0, J remains nonnegative and the factor n reverses A’s derivative sign. Here A > 0, -1 < B < 0 and B’ > 0, so F’ < 0. This supplies the orders below one.

The sign certificate is the four-term real-power function . Its first derivative is (n+1)(-1+n z^(n-1)-(n-1)z^n), and its second derivative is n(n^2-1) z^(n-2)(1-z). The second derivative is nonnegative on (0,1). On each interval [z,1] with z > 0, derivative monotonicity and J’(1)=J(1)=0 first give J’ <= 0 and then J >= 0. No differentiability at zero is needed when 1 <= n < 2.

Differentiating A gives A’(r)=n r^(n-2) J(r^2)/(1-r^(2n))^2, hence A’ >= 0. The derivative of B is -2 T/(1+r)^2 - 2n((1-r)/(1+r))r^(n-1)/(1+r^n)^2, which is strictly negative. Since A and B are positive, F’=A’/(1+B)-(1+A)B’/(1+B)^2 is strictly positive. At n=1 the J term vanishes, but the B term remains strictly negative.

The consumers are the alpha-at-least-two and below-one clauses of C. Hirche, Renyi Bounds on Information Combining, ISIT 2020, arXiv:2004.14408v1, Conjecture IV.18. This certificate supplies the real-order one-variable inequalities: F is nondecreasing for n >= 1 (alpha >= 2) and antitone for -1 < n < 0 (0 < alpha < 1).

References