PulseExploreJournal ClubDebatesTrendingResearchersJournals
Instagram
HomeExploreJournal ClubTrending
Synapse
⌘+K
Synapse
May 7, 2026Acta Universitatis Sapientiae Mathematica1 citationsOpen Access

On generalization, refinement, and extension of Hermite–Hadamard inequality

View Full Paper
AGAngshuman R. GoswamiUniversity of Pannonia

Key Points

  • To present generalizations and refinements of the Hermite–Hadamard inequality for convex functions.
  • Analysis of the classical Hermite–Hadamard inequality
  • Establishment of new inequalities involving convex functions
  • Utilization of integrals within compact intervals
  • Introduced inequalities provide bounds for convex functions at midpoints and endpoints
  • Generalizations expand applicability of the Hermite–Hadamard inequality
  • Demonstrated conditions under which the inequalities hold for any convex function

Abstract

Abstract The classical Hermite–Hadamard inequality states that in any compact interval of R R, the integral mean of a convex function is greater than the functional value at the midpoint, while it is bounded above by the average of the functional values at the endpoints. This paper presents some generalizations, refinements, and extensions of the Hermite–Hadamard inequality for convex functions. We show that if f La, b f ∈ L a, b is a convex function, then for any p (a, b) p ∈ (a, b) the following inequalities are satisfied alignedaligned f (a+2p+b4) 12 (1p-a ₀ᵖ f (z) \, dz+1b-p ₏ᵇ f (z) \, dz) f (a) +2f (p) +f (b) 4, aligned aligned f (a + 2 p + b 4) ≤ 1 2 (1 p - a ∫ a p f (z) d z + 1 b - p ∫ p b f (z) d z) ≤ f (a) + 2 f (p) + f (b

Ask AI
Helpful
Bookmark
Share
View Full Paper

Cite This Study

Angshuman R. Goswami (2026) studied this question.

synapsesocial.com/papers/69fbe382164b5133a91a2c64https://doi.org/10.1007/s44426-026-00030-6
Ask AI
Helpful
Bookmark
Share
View Full Paper