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Related Concept Videos

Dimensionless Groups in Fluid Mechanics01:15

Dimensionless Groups in Fluid Mechanics

400
Dimensionless groups in fluid mechanics provide simplified ratios that help analyze fluid behavior without relying on specific units. The Reynolds number (Re), which represents the ratio of inertial to viscous forces, distinguishes between laminar and turbulent flows, making it essential in the design of pipelines and aerodynamic surfaces. The Froude number (Fr), the ratio of inertial to gravitational forces, is particularly useful in predicting wave formation and hydraulic jumps in...
400
Entropy Change in Reversible Processes01:10

Entropy Change in Reversible Processes

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In the Carnot engine, which achieves the maximum efficiency between two reservoirs of fixed temperatures, the total change in entropy is zero. The observation can be generalized by considering any reversible cyclic process consisting of many Carnot cycles. Thus, it can be stated that the total entropy change of any ideal reversible cycle is zero.
The statement can be further generalized to prove that entropy is a state function. Take a cyclic process between any two points on a p-V diagram.
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General Characteristics of Pipe Flow I01:22

General Characteristics of Pipe Flow I

1.3K
Pipe flow refers to the movement of fluids within fully enclosed conduits, typically cylindrical in shape, such as water pipes or hydraulic hoses. These conduits are designed to withstand high-pressure gradients that drive fluid movement, contrasting with open-channel flows, where gravity is the primary driving force. Rectangular conduits, like air conditioning and heating ducts, generally operate at lower pressures and are less suited for high-pressure applications.
The classification of fluid...
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Poiseuille's Law and Reynolds Number01:10

Poiseuille's Law and Reynolds Number

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Any fluid in a horizontal tube can flow due to pressure differences—fluid flows from high to low pressure. The flow rate (Q) is the ratio of pressure difference and resistance through a horizontal tube. The greater the pressure difference, the higher the flow rate. The flow resistance is expressed as:
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Introduction to Types of Flows01:23

Introduction to Types of Flows

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Fluid flows are categorized by dimensionality and behavior, with one-dimensional flow being the simplest form, where properties like velocity and pressure change only along a single axis. Water moving through straight pipes exemplifies this flow type, as variations in other directions are minimal. One-dimensional analysis helps simplify understanding such flows, focusing solely on changes along the pipe's length.
Two-dimensional flow involves changes in both length and height, as seen in...
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Turbulent Flow01:24

Turbulent Flow

245
Turbulent flow is characterized by unpredictable fluctuations in velocity and pressure, which result in a chaotic fluid movement distinct from the orderly patterns of laminar flow. While laminar flow is governed by smooth, parallel layers with minimal mixing, turbulent flow exhibits highly irregular, three-dimensional patterns. This behavior arises due to instabilities in the fluid's velocity profile, and amplifies as the flow velocity increases. Minor disturbances, known as turbulent...
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Related Experiment Videos

Uncomputably complex renormalisation group flows.

James D Watson1, Emilio Onorati2, Toby S Cubitt2

  • 1Department of Computer Science, University College London, London, UK. ucapjdj@ucl.ac.uk.

Nature Communications
|December 9, 2022
PubMed
Summary
This summary is machine-generated.

Renormalization group (RG) methods analyze many-body systems. A new RG map for an undecidable system shows a complex, unpredictable flow, even though each step is computable.

Related Experiment Videos

Area of Science:

  • Condensed Matter Physics
  • Quantum Information
  • Computational Physics

Background:

  • Renormalization group (RG) methods are crucial for analyzing many-body systems by coarse-graining system descriptions and generating parameter space flows.
  • Recent studies indicate that critical physical properties, like spectral gaps and phase diagrams, may be fundamentally undeterminable using these methods.
  • The concept of undecidability in physical systems poses significant challenges to traditional analytical techniques.

Purpose of the Study:

  • To construct a rigorous renormalization group map for a known undecidable many-body system.
  • To investigate the nature and predictability of the renormalization group flow in this complex system.
  • To rigorously analyze the computability and convergence properties of the constructed RG map.

Main Methods:

  • Development of a rigorous renormalization group map tailored to a specific undecidable many-body system.
  • Mathematical proof of the computability of each individual step within the RG map.
  • Analysis of the convergence of the RG map to its fixed points.
  • Characterization of the overall complexity and predictability of the resulting RG flow.

Main Results:

  • A rigorous RG map was successfully constructed for the specified undecidable many-body system.
  • It was proven that each step of the RG map is computable.
  • The RG map was shown to converge to the correct fixed points.
  • The overall RG flow generated by this map was demonstrated to be uncomputable and highly complex, exceeding previously observed chaotic behaviors.

Conclusions:

  • The study demonstrates an extreme form of unpredictability in renormalization group flows for certain many-body systems.
  • This uncomputability goes beyond previously understood chaotic dynamics, highlighting fundamental limitations.
  • The findings have significant implications for the theoretical analysis and predictability of complex quantum systems.