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Springer Non-perturbative Methods in Statistical Turbulence - Springer

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Description

This comprehensive guide explores statistical descriptions of turbulent flows, demonstrating why conventional perturbative approaches to the Navier-Stokes equation have proven ineffective and introducing cutting-edge non-perturbative techniques. The book covers the instanton method and stochastic interpretations of turbulent energy transfer, providing essential insights for researchers and practitioners. Starting with fundamental equations of turbulent fluid motion, it develops a probabilistic treatment of the Navier-Stokes equation and examines the emergence of multi-point hierarchies. Designed for advanced students and specialists in fluid dynamics and turbulence research, this first volume in the Progress in Turbulence series offers rigorous mathematical frameworks and practical applications that bridge theoretical understanding with real-world turbulent phenomena.

Key Features

Presents non-perturbative methods including instanton techniques for analysing Navier-Stokes equations and turbulent flow behaviour.

Covers stochastic interpretations of turbulent energy transfer, providing alternative frameworks beyond traditional perturbative approaches.

Introduces probabilistic treatments and multi-point hierarchies essential for understanding statistical descriptions of turbulent flows.

Part of the Progress in Turbulence series (Volume 1), combining fundamental theory with applications in advanced fluid dynamics.

Authored by Springer, offering rigorous mathematical content suitable for researchers, academics, and specialists in turbulence studies.

Product Specifications

Format
paperback
Domain
Amazon UK
Release Date
27 September 2021
Listed Since
30 August 2021

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