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The addition of polymers to turbulent pipe flows induces significant drag reduction and fundamentally modifies turbulent flow structures. This study presents a fractal dimension analysis of polymeric turbulent pipe flows using velocity fields captured via two-dimensional particle image velocimetry in the streamwise-radial plane. Two experimental datasets were generated: one by varying the polymer concentration at a constant Reynolds number ($\textit{Re}$) and another by varying $\textit{Re}$ at a fixed polymer concentration. Friction factors were measured concurrently to quantify the extent of drag reduction. The two-dimensional fractal dimension was evaluated for isosurfaces of turbulent kinetic energy. While Newtonian turbulence exhibits a nearly constant fractal dimension at length scales exceeding a critical threshold, the introduction of polymers causes the fractal dimension to decrease monotonically with increasing concentration. Conversely, the fractal dimension remains insensitive to changes in the Reynolds number. The ratio of the critical length scale to the Kolmogorov scale varies according to both $\textit{Re}$ and polymer concentration; however, this scale ratio becomes independent of both parameters once the maximum drag reduction asymptote is reached. Spatial analysis of the one-dimensional fractal dimension across radial positions helps to further reveal the evolution of turbulence fractality. The results demonstrate that while flow inertia promotes the formation of space-filling structures, viscoelastic effects smooth these structures and transition them towards sheet-like or linear geometries. Finally, the correlation between the fractal dimension and turbulence intermittency is discussed.
This chapter focuses on the diagonalization of a set of commuting scattering operators, or equivalently, transfer matrices, in models involving higher-rank symmetries. The discussion centers on modules more intricate than those of [N – M, M] type, ultimately considering arbitrary irreducible representations of the symmetric group. The core idea is to construct a suitable basis in the representation space that enables the reduction of a higher-dimensional diagonalization problem to a sequence of lower-dimensional ones that are already solved. This reduction is achieved through a recursive scheme in which each step lowers the matrix dimension, enabling its diagonalization–a procedure known as nested Bethe ansatz. The method is framed as a successive dimensional reduction, systematically building on solutions from simpler cases. Special attention is given to Yang’s connection formula and its role in enabling this recursive approach. The chapter extends the framework introduced in Chapter 3, developing a coordinate version of the nested Bethe ansatz and generalizing it to accommodate multiple levels of nesting. This recursive structure reveals deep algebraic insights and plays a pivotal role in the study of integrable systems with rich internal symmetries.
Inertial waves in fluid regions of planets and stars play an important role in their dynamics and evolution, through energy, heat and angular momentum transport and mixing of chemicals. While inertial wave propagation in flows prescribed by solid-body rotation is well understood, natural environments are often characterised by convection or zonal flows. In these more realistic configurations, we do not yet understand the propagation of inertial waves or their transport properties. In this work, we focus on the interaction between inertial waves and geostrophic currents, which has thus far only been investigated using ray theory, where the wavelength is assumed to be small relative to the length scale of the current, or averaging/statistical approaches. We develop a quasi-two-dimensional analytical model to investigate the reflection and transmission of inertial waves in the presence of a localised geostrophic shear layer of arbitrary width and compare our theoretical findings with a set of numerical simulations. We demonstrate that, in contrast to ray theory predictions, partial reflections occur even in subcritical shear layers and tunnelling with almost total transmission is possible in supercritical shear layers, if the layer is thin compared with the wavelength. That is, supercritical shear layers act as low-pass filters for inertial wave beams allowing the low-wavenumber waves to travel through. Thus, our analytical model allows us to predict interactions between inertial waves and geostrophic shear layers not addressed by ray-based or statistical theories and conceptually understand the behaviour of the full wave field around and inside such layers.
This chapter focuses on the derivation and interpretation of functional relations among commuting transfer matrices, which underpin a wide range of powerful techniques in quantum integrable systems. These include spectral equations, Baxter’s TQ-relations, and the analytic Bethe ansatz, as well as methods based on wronskian Bethe equations. Rather than isolated tools, these structures are intricately connected and reveal deep algebraic insights with significant implications, including quantum–classical duality and the completeness problem.
Further emphasis is placed on the group-theoretic structure underlying these functional relations. Connections are drawn with the classical theory of characters, where objects such as Schur polynomials and Jacobi–Trudi formulae lead to bilinear relations naturally interpreted as Hirota equations in the context of transfer matrices. This perspective offers a conceptual bridge between quantum integrable models and classical representation theory, highlighting the unifying role of functional relations in both structure and application. Special attention is given to Q-functions governed by Baxter’s TQ-relations and, more broadly, by determinant identities from the wronskian formalism. These functions encode the transfer matrix eigenvalues and serve as fundamental algebraic objects. Functional methods thus offer powerful tools for exploring integrable models, especially when conventional Bethe ansatz techniques become impractical.
Bethe ansatz is a fascinating device in the theory of quantum integrable models. It enables the exact determination of the energy spectrum of dynamical systems ranging from integrable spin chains of magnetism to integrable models in high energy physics. It is particularly valuable for computing critical exponents in solvable models of statistical mechanics and plays a significant role in bootstrapping correlation functions in integrable gauge and string theories. Originally introduced in 1931 by Hans Bethe for solving the Heisenberg model of magnetism, the Bethe ansatz has since been extensively generalized and expanded. It now appears in various forms — the algebraic, analytic, functional, and thermodynamic — and has evolved into a universal framework for understanding integrability in quantum many-body systems. This book offers a comprehensive introduction to the Bethe ansatz techniques. It covers the factorized scattering theory and coordinate and algebraic versions of the Bethe ansatz, including the case of nested structures. Advanced methods based on functional relations among commuting transfer matrices and separation of variables are also addressed. A wealth of detailed calculations is included to facilitate the reader's swift engagement with the original literature.
This chapter presents a selection of foundational topics from classical mechanics relevant to integrable systems. It includes a concise overview of the Arnold–Liouville theorem and its implications for integrability, along with a discussion of the Lax representation and its role in the formulation of classical scattering theory. Special attention is given to the Calogero–Moser–Sutherland models as illustrative examples. We explore how the rich structure of conserved quantities in classical integrable systems constrains the dynamics of scattering, leading to non-diffractive behavior. In particular, we demonstrate how the classical S-matrix factorizes into a sum of elementary two-body phase shifts, reflecting the underlying integrability of the system.
Building on classical oblique jump theory, we develop a one-dimensional (1-D) analytical framework that incorporates non-Newtonian rheology to predict the onset of hydraulic jumps, their internal structure and the associated Mach-front geometry. Source terms representing bed slope and wall friction are included, and the resulting formulation is systematically assessed against laboratory experiments, two-dimensional (2-D) shallow-water simulations and fully three-dimensional (3-D) computational fluid dynamics. Experiments with Newtonian, shear-thinning and shear-thickening fluids on converging sidewalls demonstrate a good match with the 1-D formulation. For Newtonian and shear-thinning fluids on mild slopes, the 1-D formulation with source terms closely reproduces the measured shock-front geometry and the 2-D simulation results. The analysis shows that upstream flow deceleration governs the reduction of the Mach angle and the resulting curvature. By contrast, in tests with shear-thickening fluids and steeper slopes, gravitational contributions produce detachment and strong front curvature that are not captured by the 1-D model. Comparisons of the transverse front position confirm that 1-D models lose validity when the upstream Froude number decreases sharply along the front. Fully 3-D simulations reveal concave front deformation driven by shear, strong dominance of tangential over normal velocities and flow features absent in depth-averaged models. The results demonstrate that 2-D shallow-water models capture the key dynamics for mild slopes and shear-thinning conditions, while accurate prediction for shear-thickening fluids requires 3-D approaches, motivating future hybrid strategies.
To analyze integrable multiparticle systems in the thermodynamic limit, one typically confines the system to a large periodic box, ensuring that the Bethe wave function resides in the asymptotic regime of free motion. The resulting periodic boundary conditions give rise to a system of coupled nonlinear equations for particle momenta, known as the Bethe equations. Solving these equations requires constructing common eigenvectors for a family of commuting operators acting on the Hilbert space of an auxiliary spin chain. This approach, known as the coordinate Bethe ansatz, is grounded in the generalized Bethe hypothesis, which posits the coordinate-space structure of eigenstates. This chapter introduces the formalism of the coordinate Bethe ansatz and its algebraic underpinnings, including the role of the Bethe–Yang equation, permutation modules, and Specht modules. The chapter concludes by applying this framework to the Lieb–Liniger model for spin-1/2 particles, setting the stage for more advanced developments.
This chapter introduces an alternative framework for solving spectral problems in classical and quantum integrable systems via separation of variables, grounded in the Hamilton–Jacobi theory. The method is first outlined in the classical context and then extended to quantum integrable spin chains with glell symmetry and associated Yangians.
A key objective is to construct separated representations for the spectrum, reducing multidimensional eigenvalue problems to a set of one-dimensional ones solvable through algebraic and representation-theoretic techniques. This approach proves especially effective in cases where the completeness of the Bethe ansatz is unclear, offering complementary insights.
Focusing on the classical glell magnets, the chapter details the construction of separated variables using the Baker–Akhiezer function and its role in identifying canonical coordinates on the spectral curve. In the quantum case, complete diagonalization of the gl2 spin chain is achieved through separation of variables.
For higher-rank models and generic local representations of glell, the full construction remains an open and active area of research. The chapter closes with an overview of current developments and challenges in advancing this method.
A central problem in turbulence is understanding small-scale intermittency, which refers to the sporadic generation of intense fluctuations in velocity gradients and increments. These extreme events, strongly non-Gaussian in nature, govern dissipation, mixing and transport processes in virtually all turbulent flows. Yet, despite decades of study, a faithful and predictive characterisation of small scales remains elusive owing to the inherent mathematical intractability of the Navier–Stokes equations and the difficulty in resolving them in both simulations and experiments at high Reynolds numbers. Recent advances in high-resolution simulations and experiments have significantly reshaped this picture, particularly by providing precise data at high Reynolds numbers to probe the full tensorial structure and dynamics at small scales. In this article, we synthesise the current understanding of small-scale intermittency and universality, drawing on modern data from well-resolved simulations and experiments that resolve the full velocity-gradient tensor. The results show that, while prevailing intermittency theories capture several key trends, they fail to describe or account for observed asymmetries between longitudinal and transverse fluctuations or between strain and vorticity amplification. Evidence suggests that intermittency is closely tied to the dynamics and geometry of vorticity and strain fields, with non-locality playing an important role. We argue that a consistent picture has emerged, but a complete theory will require unifying the statistical scaling frameworks with the underlying dynamical mechanisms that govern gradient amplification. Additional implications of these findings are discussed, and several pressing open problems are identified for future work.
The current study examines the interaction between a pitching foil and sediment-laden flows, focusing on how particles affect propulsion performance and the sediment dynamics. We show that the presence of particles weakens vortex formation, reduces flow flux and alters the pressure distribution, leading to a decrease in propulsion efficiency. Additionally, sediment deformation and particle suspension under the flow are observed, driven by fluid–structure coupling rather than direct contact with the foil. The coupled dynamics between the foil’s motion, sediment evolution and particle transport creates a feedback loop that influences both the wake structure and sedimentary patterns. Our results underscore the importance of considering the interactions between the foil, flow and particles for a comprehensive understanding of bio-inspired propulsion in sediment-laden environments. This work provides insights for optimising the design and performance of hydrofoils in real-world granular flows and highlights the need for further investigation into the effects of particle types, concentrations and foil motion modes on propulsion efficiency.
This chapter addresses the long-standing challenge of constructing the Bethe wave function in large but finite volumes via the diagonalization of the transfer matrix within the spin representation. While the coordinate Bethe ansatz provides effective tools for specific models, it becomes increasingly cumbersome in systems with internal degrees of freedom, such as the Lieb–Liniger model. The algebraic Bethe ansatz offers a more general and systematic framework, particularly well suited for handling nested structures. Spin chains serve as a natural setting for this formalism, offering both mathematical richness and physical relevance as models of interacting quantum spins. Starting from the Heisenberg spin chain, the chapter introduces the algebraic structure underpinning the method, including the R-matrix formulation, quantum group symmetries, and the construction of the transfer matrix. To connect the algebraic formalism with thermodynamic behavior, the chapter explores the string hypothesis, which organizes solutions to the Bethe equations into regular complex patterns. This leads naturally to the Bethe–Takahashi equations, which govern the thermodynamic limit of integrable spin chains. These tools enable a tractable analysis of excited states and physical observables, establishing a foundation for applying the algebraic Bethe ansatz to a broader class of quantum integrable systems.
The generalized Bethe hypothesis, though conceptually powerful, becomes increasingly unwieldy when approached through direct state-by-state analysis, particularly for systems with multiple excitations. While one- and two-particle states allow straightforward generalizations, a universal proof valid for arbitrary permutation modules remains a central challenge. This chapter introduces the transfer matrix method as a systematic and elegant framework to address this issue. Based on the spin chain realization of permutation modules, the method facilitates the analysis of a broad class of integrable systems and serves as a powerful computational tool. A particularly appealing feature is the diagonal form of the transfer matrix on the common eigenspace of scattering operators. For the case gl2, the inhomogeneous spin chain transfer matrix is diagonalized using Lieb’s method, thereby confirming the generalized Bethe hypothesis in this setting. In addition, representation theory is applied to classify spin chain states according to their transformation properties under the global symmetry algebra, highlighting the rich algebraic structure underlying the solvability of these models.
Accurate spatially resolved dust corrections are critical for interpreting the structure and evolution of star-forming galaxies (SFGs). We present an empirical model for predicting spatially resolved dust attenuation ($A_V$) in SFGs using integral field spectroscopy from the Mapping Nearby Galaxies at Apache Point Observatory (MaNGA) survey. Using a sample of 5 155 galaxies over $7.20 \lt M_*\lt 11.14$ and $0.0002 \lt z \lt 0.1444$, we derive $A_V$ maps from the Balmer decrement across more than 1 898 954 star-forming spaxels. Using local star formation rate surface density ($\Sigma_{\text{SFR}}$) as a predictor, the model achieves $R^2 = 0.69$ and RMSE $=0.22$ mag, with residuals that are approximately Gaussian and centred near zero. It predicts $A_V$ within a factor of $\sim$1.3 on kpc scales. We also demonstrate that the relation can be applied iteratively to recover dust–corrected $\Sigma_{\mathrm{SFR}}$ from uncorrected values, converging by the fourth iteration with minimal residual bias ($-0.01$ mag) and low RMSE ($0.42$ mag). The model accurately reproduces $A_V$ maps across diverse morphologies and orientations, including edge-on systems. It also recovers the observed radial $A_V$ profiles, capturing their dependence on stellar mass and relative star formation activity, with more massive and more strongly star-forming galaxies showing steeper gradients.
The two-plasmon decay instability of high-power microwaves used for electron cyclotron resonance heating has been observed experimentally in multiple fusion devices. This type of instability is a nonlinear three-wave interaction that can transfer energy away from the cyclotron harmonics. Analytical models quantify exponential growth rates and power thresholds, but typically evaluate the growth as a spatially averaged gain over the interaction region of the instability. This description effectively excludes field inhomogeneities and noise, leaving their impact on the instability growth uncertain. We assess this assumption by solving the full nonlinear system on a spatial grid. Across all cases considered, we find that the instabilities drive the wave fields toward the spatially averaged behaviour. After a transient period that scales inversely with the instability growth rate, the simulated growth converges to the averaged prediction, indicating that the established models are asymptotically valid.