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A Continuous Description of Different Means with Application To Mixing Rules
1Institut für Physikalische und Theoretische Chemie, TU Braunschweig, Gaußstr. 17, Braunschweig 38106, Germany.
This study introduces continuous functions to connect arithmetic, geometric, and harmonic means, addressing limitations of discrete mean selection. The Hölder mean offers a versatile tool for uniform descriptions in various scientific calculations.
Area of Science:
- Mathematical analysis
- Computational chemistry
- Physical chemistry
Background:
- Traditional means (arithmetic, geometric, harmonic) present discrete choices for averaging two numbers.
- Selecting the appropriate mean can be ambiguous, leading to discrete problems in calculations.
Purpose of the Study:
- To introduce and analyze one-parameter functions that provide a continuous connection between harmonic mean (HM), geometric mean (GM), and arithmetic mean (AM).
- To identify functions suitable for a unified description of mixing rules in computational chemistry and thermophysical property calculations.
Main Methods:
- Exploration of three one-parameter functions to bridge HM, GM, and AM.
- Detailed analysis of the Lehmer mean and Hölder mean functions.
Main Results:
- The proposed functions establish a continuous relationship between different mean values.
- The Hölder mean is identified as particularly effective for creating a uniform, one-parameter description.
- Demonstrated applicability in quantum chemical force field and thermophysical property calculations.
Conclusions:
- One-parameter functions offer a continuous alternative to discrete mean selection.
- The Hölder mean provides a powerful and versatile tool for unifying various mixing rules in scientific computations.
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