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The first chip identifies the source of the statement or construction; the second identifies the source of its local proof or verification.
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These labels describe origin, not correctness: citations and verification chips remain separate evidence.
The real Gamma function is strictly log-convex
Statement
The real Gamma function is strictly log-convex on .
Facts & Assumptions
Given: Distinct and a weight .
For , exponential convexity is strict unless its two arguments are equal (The two-point convexity inequality for the exponential function).
A positive function is log-convex when its logarithm is convex (Log-convex positive functions).
Proof
Fix and write . By [F1], the integrand at is at most the corresponding convex combination, with strict inequality except at the single point ; integration makes strictly convex.
Choose . Then .
Apply step 1.1 at with the from step 1.2. After cancelling , one gets , which is strict log-convexity by [F2].
Depends on
- Log-convex positive functions
- The real Gamma function by Euler's integral
- Euler's Gamma integral converges exactly for positive real parameters
- The two-point convexity inequality for the exponential function
- The exponent, product, quotient, and iterated-power laws for positive real bases and real exponents
- Linearity of convergent improper integrals
- If $f \le g$ on $[a,b]$ and both are integrable then $\int_a^b f \le \int_a^b g$; and $m(b-a) \le \int_a^b f \le M(b-a)$
Used by
Dependency tree · two levels
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Sources
- University of Toronto MAT237Y1, The Gamma Function and the Beta Function, §1.5 (standard reference, not scraped)
- K. Chandrasekharan, Lectures on the Riemann Zeta-Function, Lecture 7 §4 (standard reference, not scraped)