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Updated: Mar 29, 2026

Excitonic Hamiltonians for Calculating Optical Absorption Spectra and Optoelectronic Properties of Molecular Aggregates and Solids
Published on: May 27, 2020
Fixed-point structure and effective fractional dimensionality for O(N) models with long-range interactions.
Nicoló Defenu1,2, Andrea Trombettoni1,2,3, Alessandro Codello4
1SISSA, Via Bonomea 265, I-34136 Trieste, Italy.
We investigate O(N) models with power-law decaying interactions using renormalization group methods. An effective fractional dimension is derived, providing insights into critical exponents and universality classes for these complex systems.
Area of Science:
- Statistical Mechanics
- Condensed Matter Physics
- Quantum Field Theory
Background:
- O(N) models are fundamental in statistical mechanics and quantum field theory.
- Interactions decaying as power laws introduce long-range correlations.
- Renormalization group methods are crucial for understanding critical phenomena.
Purpose of the Study:
- To analyze O(N) models with power-law decaying interactions using renormalization group methods.
- To compute critical exponents by introducing an effective fractional dimension.
- To explore the full theory space including both short- and long-range propagator terms.
Main Methods:
- Renormalization group (RG) analysis.
- Calculation of critical exponents.
- Investigation of effective fractional dimensions.
- Analysis of propagator terms and wave function renormalization.
Main Results:
- An effective fractional dimension D(eff) is derived for O(N) models with power-law interactions.
- The effective dimension is D(eff)=2d/σ neglecting wave function renormalization, exact in the spherical model limit.
- Including wave function renormalization yields D(eff)=(2-η(SR))d/σ, matching standard scaling arguments.
- Explicit results for the exponent ν in two and three dimensions are provided.
- A comprehensive analysis of the fixed-point structure and multicritical long-range universality classes is presented.
Conclusions:
- The effective dimension is an approximation, and its error is estimated.
- The proposed method offers a complete description of the theory space for these models.
- This work advances the understanding of critical phenomena in systems with long-range interactions.
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