Inviscid 2D flow (periodic boundaries)

Size: px
Start display at page:

Download "Inviscid 2D flow (periodic boundaries)"

Transcription

1

2 Inviscid 2D flow (periodic t q + r (vq) =@ t q + J(,q)= S + R advection of potential @x d dxdyf (q) =0 dt q = r 2 + h, h(x, y) =f H D H D

3 Quadratic Invariants Potential Enstrophy Q = 1 2 q 2 t q + r (vq) =0 Kinetic Energy E = 1 2 (r ) 2 dxdy d dt and many more invariants dxdyf (q) =0

4 Section 2: +ẑ (r rq) =0 r 1 ± q 1 ± q rq locally = F 0 (q) non-trivial relationship is µ = q = r 2 + h q 1, 1 s = h µ + 2

5 Quadratic Invariants (again) non-zero modes of topography µ 0 s multiple for a given energy (not all necessarily stable) Potential Enstrophy Q s (µ) = 1 2 X µ 2 h 2 (µ + 2 ) 2 Kinetic Energy E s (µ) = 1 2 X 2 h 2 (µ + 2 ) < 2 < 2 1 h 2 = 0 for 2 + < 2 < 2

6 Nonlinear Stability Q + µ E z} { Q Q s + µ(e E s )= 1 2 = 1 2 = 1 2 = 1 2 = 1 2 = 1 2 = s + dxdy q 2 (q s ) 2 + µ(r ) 2 µ(r s ) 2 dxdy (r 2 ( s + )) 2 +2hr 2 (r 2 s ) 2 + µ(r( s + )) 2 µ(r s ) 2 dxdy 2q s r 2 + µ2r r s +(r 2 ) 2 + µ(r ) 2 dxdy (r 2 ) 2 + µ(r ) I 1 s (r ˆn)dS 2 dxdy (r 2 C X 2 ( 2 + µ) 2 ) 2 + µ(r ) 2 Perturb the state to determine stability dxdy 2q s r 2 2q s r 2 for µ> 2 0 µ< 2 1 the perturbation doesn t grow or decay

7 Nonlinear Stability Q + µ E z} { Q Q s + µ(e E s )= 1 2 = 1 2 = 1 2 = 1 2 = 1 2 = 1 2 = s + dxdy q 2 (q s ) 2 + µ(r ) 2 µ(r s ) 2 dxdy (r 2 ( s + )) 2 +2hr 2 (r 2 s ) 2 + µ(r( s + )) 2 µ(r s ) 2 dxdy 2q s r 2 + µ2r r s +(r 2 ) 2 + µ(r ) 2 dxdy (r 2 ) 2 + µ(r ) I 1 s (r ˆn)dS 2 = 1 2 dxdy (r 2 C X 2 ( 2 + µ) 2 a miracle occurs X ) 2 + µ(r ) 2 single-signed Perturb the state to determine stability dxdy 2q s r 2 2q s r 2 2 ( 2 + µ) 2 for µ> 2 0 µ< 2 1 the perturbation doesn t grow or decay in time we don t now anything about the rest of µ though

8 Nonlinear Stability (Q + µe) = X 2 (q µ ) 2 (Q + µe) = X 2 ( 2 + µ) 2 positive for µ > 2 0 minimum enstrophy branch Recall that since flow is inviscid any perturbation does not decay, regardless of stability

9 Moving to Section 3 Inviscid statistical equilibrium

10 a bit of machinery is involved probability density depends on invariants of system P ( ) / e ae let s ignore the rest of these E = 1 2 Q = 1 2 F (q)dxdy X X bq+... h i = h (a/b)+ 2 h( h i)( p h p i)i = 2 a + b 2, p 1 a + b h 2 ((a/b)+ 2 ) 2 2 a + b 2 + (a/b)2 h 2 ((a/b)+ 2 ) 2 a + b 2 > 0 otherwise negative energy -p is to denote complex conjugate what are a, b? for µ eq (a/b), µ eq > 2 0 if b>0 µ eq < 2 1 if b<0 Recall from nonlinear stability s = h µ + 2

11 what does this mean?

12 Infinite Resolution E = 1 2 Q = 1 2 Reminder 1!1 X X 1 a + b h 2 ((a/b)+ 2 ) 2 2 a + b 2 + (a/b)2 h 2 ((a/b)+ 2 ) 2

13 Infinite Resolution (No topography) E = 1 2 Q = 1 2 Reminder 1!1 X X 1 a + b h 2 ((a/b)+ 2 ) 2 2 a + b 2 + (a/b)2 h 2 ((a/b)+ 2 ) 2 maximum energy of minimum enstrophy state

14 Infinite Resolution (E,Q) (E, 2 0E) h =0 remainder of enstrophy 0 1!1 Q E apple E s ( 2 0) E E s ( 2 0) Q h 6= 0 no eddy energy h 6= ! !1

15 Beta plane t + J(, + h + y) =0 Periodic on,h Energy is conserved d dt 1 2 (r ) 2 dxdy =0 Oh No! Small and large scale potential enstrophy are not conserved d dt d dt ( + h) 2 6=0 ( + h + y) 2 6=0

16 Beta plane t + J(, + h + y) =0 Periodic on,h Introduce mean eastward flow = Uy d 1 (r ) 2 dxdy = U dt dxdy Conserved Quantity dxdy apple (r ) 2 U ( + h) 2 E = 1 2 U 2 + dxdy(r ) 2, for du dt = Q = U + 1 dxdy( + h) 2 dxdy

17 let s do the same thing again without a +ẑ (r rq) =0 r with a beta plane rq possible solution µ s = r 2 s + h! = Uy q! q = + h + y possible solution µ( s U s y)=r 2 s + h + y

18 we have parts that are periodic and large scale parts µ( s U s y)=r 2 s + h + y µ = U s µ s = r 2 s + h E s (µ) = 1 2 Q s (µ) = 2 µ µ X X 2 h 2 (µ + 2 ) 2 µ 2 h 2 (µ + 2 ) 2

19 E s (µ) = 1 2 µ Q s (µ) = 2 2 µ X X 2 h 2 (µ + 2 ) 2 µ 2 h 2 (µ + 2 ) 2

20 Nonlinear Stability (again) Q + µ E z} { > 0, for µ>0 < 0, for µ< 2 1 Physically relevant regime

21 Canonical equilibrium (again) mean and variance of is same a>0 a + b 2 > 0

22 Canonical equilibrium (again) positive eddy energy a>0 a + b 2 > 0 for µ eq > for µ eq < 0, hui 2 1, hui is large amplitude and westward is small amplitude and eastward

23 Infinite Resolution (beta plane) For E = E,Q= Q (E,Q) (E,Q Q res ) All energy goes to mean flow 0 1!1 For the same energy canonical equilibrium is equivalent to nonlinearly stable state

24 Section 6

25

26 Discussion Is there some scheme that could be used to determine when to include the higher order invariants?

27

28 What does conservation of potential vorticity mean? f>0,h>0,q = q 0 q = r 2 + h, h(x, y) =f H D Salmon, R., Lectures on Geophysical Fluid Dynamics

29 Canonical Equilibrium

30 Liouville s Theorem 12 = 1 2 log 12 = log 1 + log 2 Higher order moments of potential vorticity log a = a + E a (,q)+ Q a = a ae bq +... a = P ( ) / e ae bq h i = h (a/b)+ 2 h( h i)( p h p i)i = 2 a + b 2, p but what are a and b?

31 Find a and b from the mean energy and potential enstrophy hfi = hf i a + b 2 > 0 otherwise negative energy

32 Kinetic + J(,q)=@ tr 2 + t r 2 + t r 2 + J(,q) dxdy =0 c r t r ) t r t r 2 I d 1 t r ) ˆndl r r dxdy =0 c dt 2 I d 1 c (@ t r ) ˆndl r r dxdy =0 dt dxdy d dt 1 2 r r dxdy =0 J(,q)dxdy =0

Non-linear Stability of Steady Geophysical Flows

Non-linear Stability of Steady Geophysical Flows Non-linear Stability of Steady Geophysical Flows Di Qi, and Andrew J. Majda Courant Institute of Mathematical Sciences Fall 2016 Advanced Topics in Applied Math Di Qi, and Andrew J. Majda (CIMS) Non-linear

More information

Statistical Mechanics for the Truncated Quasi-Geostrophic Equations

Statistical Mechanics for the Truncated Quasi-Geostrophic Equations Statistical Mechanics for the Truncated Quasi-Geostrophic Equations Di Qi, and Andrew J. Majda Courant Institute of Mathematical Sciences Fall 6 Advanced Topics in Applied Math Di Qi, and Andrew J. Majda

More information

10 Shallow Water Models

10 Shallow Water Models 10 Shallow Water Models So far, we have studied the effects due to rotation and stratification in isolation. We then looked at the effects of rotation in a barotropic model, but what about if we add stratification

More information

) 2 ψ +β ψ. x = 0. (71) ν = uk βk/k 2, (74) c x u = β/k 2. (75)

) 2 ψ +β ψ. x = 0. (71) ν = uk βk/k 2, (74) c x u = β/k 2. (75) 3 Rossby Waves 3.1 Free Barotropic Rossby Waves The dispersion relation for free barotropic Rossby waves can be derived by linearizing the barotropic vortiticy equation in the form (21). This equation

More information

Chapter 13 Instability on non-parallel flow Introduction and formulation

Chapter 13 Instability on non-parallel flow Introduction and formulation Chapter 13 Instability on non-parallel flow. 13.1 Introduction and formulation We have concentrated our discussion on the instabilities of parallel, zonal flows. There is the largest amount of literature

More information

1/27/2010. With this method, all filed variables are separated into. from the basic state: Assumptions 1: : the basic state variables must

1/27/2010. With this method, all filed variables are separated into. from the basic state: Assumptions 1: : the basic state variables must Lecture 5: Waves in Atmosphere Perturbation Method With this method, all filed variables are separated into two parts: (a) a basic state part and (b) a deviation from the basic state: Perturbation Method

More information

Physics 106b: Lecture 7 25 January, 2018

Physics 106b: Lecture 7 25 January, 2018 Physics 106b: Lecture 7 25 January, 2018 Hamiltonian Chaos: Introduction Integrable Systems We start with systems that do not exhibit chaos, but instead have simple periodic motion (like the SHO) with

More information

Boundary Layers: Homogeneous Ocean Circulation

Boundary Layers: Homogeneous Ocean Circulation Boundary Layers: Homogeneous Ocean irculation Lecture 7 by Angel Ruiz-Angulo The first explanation for the western intensification of the wind-driven ocean circulation was provided by Henry Stommel (948).

More information

Systematic deviations from Gaussianity in models of quasigeostrophic turbulence

Systematic deviations from Gaussianity in models of quasigeostrophic turbulence PHYSICS OF FLUIDS 19, 116603 2007 Systematic deviations from Gaussianity in models of quasigeostrophic turbulence I. Timofeyev a Department of Mathematics, University of Houston, Houston, Texas 77204,

More information

Barotropic geophysical flows and two-dimensional fluid flows: Conserved Quantities

Barotropic geophysical flows and two-dimensional fluid flows: Conserved Quantities Barotropic geophysical flows and two-dimensional fluid flows: Conserved Quantities Di Qi, and Andrew J. Majda Courant Institute of Mathematical Sciences Fall 2016 Advanced Topics in Applied Math Di Qi,

More information

A Truncated Model for Finite Amplitude Baroclinic Waves in a Channel

A Truncated Model for Finite Amplitude Baroclinic Waves in a Channel A Truncated Model for Finite Amplitude Baroclinic Waves in a Channel Zhiming Kuang 1 Introduction To date, studies of finite amplitude baroclinic waves have been mostly numerical. The numerical models,

More information

Chapter 3. Stability theory for zonal flows :formulation

Chapter 3. Stability theory for zonal flows :formulation Chapter 3. Stability theory for zonal flows :formulation 3.1 Introduction Although flows in the atmosphere and ocean are never strictly zonal major currents are nearly so and the simplifications springing

More information

A few examples Shallow water equation derivation and solutions. Goal: Develop the mathematical foundation of tropical waves

A few examples Shallow water equation derivation and solutions. Goal: Develop the mathematical foundation of tropical waves A few examples Shallow water equation derivation and solutions Goal: Develop the mathematical foundation of tropical waves Previously: MCS Hovmoller Propagating w/ wave velocity From Chen et al (1996)

More information

Math 180A. Lecture 16 Friday May 7 th. Expectation. Recall the three main probability density functions so far (1) Uniform (2) Exponential.

Math 180A. Lecture 16 Friday May 7 th. Expectation. Recall the three main probability density functions so far (1) Uniform (2) Exponential. Math 8A Lecture 6 Friday May 7 th Epectation Recall the three main probability density functions so far () Uniform () Eponential (3) Power Law e, ( ), Math 8A Lecture 6 Friday May 7 th Epectation Eample

More information

Coupled systems of two-dimensional turbulence

Coupled systems of two-dimensional turbulence Under consideration for publication in J. Fluid Mech. Coupled systems of two-dimensional turbulence By Ric Salmon Scripps Institution of Oceanography, University of California San Diego La Jolla CA 9093-03,

More information

Before we consider two canonical turbulent flows we need a general description of turbulence.

Before we consider two canonical turbulent flows we need a general description of turbulence. Chapter 2 Canonical Turbulent Flows Before we consider two canonical turbulent flows we need a general description of turbulence. 2.1 A Brief Introduction to Turbulence One way of looking at turbulent

More information

9 Rossby Waves. 9.1 Non-divergent barotropic vorticity equation. CSU ATS601 Fall (Holton Chapter 7, Vallis Chapter 5)

9 Rossby Waves. 9.1 Non-divergent barotropic vorticity equation. CSU ATS601 Fall (Holton Chapter 7, Vallis Chapter 5) 9 Rossby Waves (Holton Chapter 7, Vallis Chapter 5) 9.1 Non-divergent barotropic vorticity equation We are now at a point that we can discuss our first fundamental application of the equations of motion:

More information

Turbulence in the Atmosphere and Oceans

Turbulence in the Atmosphere and Oceans Turbulence in the Atmosphere and Oceans Instructors: Raffaele Ferrari and Glenn Flierl Course description The course will present the phenomena, theory, and modeling of turbulence in the Earth s oceans

More information

Lecture 2. Turbulent Flow

Lecture 2. Turbulent Flow Lecture 2. Turbulent Flow Note the diverse scales of eddy motion and self-similar appearance at different lengthscales of this turbulent water jet. If L is the size of the largest eddies, only very small

More information

Lecture 10a: The Hadley Cell

Lecture 10a: The Hadley Cell Lecture 10a: The Hadley Cell Geoff Vallis; notes by Jim Thomas and Geoff J. Stanley June 27 In this short lecture we take a look at the general circulation of the atmosphere, and in particular the Hadley

More information

Hamiltonian aspects of fluid dynamics

Hamiltonian aspects of fluid dynamics Hamiltonian aspects of fluid dynamics CDS 140b Joris Vankerschaver jv@caltech.edu CDS 01/29/08, 01/31/08 Joris Vankerschaver (CDS) Hamiltonian aspects of fluid dynamics 01/29/08, 01/31/08 1 / 34 Outline

More information

Lecture 12: Transcritical flow over an obstacle

Lecture 12: Transcritical flow over an obstacle Lecture 12: Transcritical flow over an obstacle Lecturer: Roger Grimshaw. Write-up: Erinna Chen June 22, 2009 1 Introduction The flow of a fluid over an obstacle is a classical and fundamental problem

More information

Physics Sep Example A Spin System

Physics Sep Example A Spin System Physics 30 7-Sep-004 4- Example A Spin System In the last lecture, we discussed the binomial distribution. Now, I would like to add a little physical content by considering a spin system. Actually this

More information

Abrikosov vortex lattice solution

Abrikosov vortex lattice solution Abrikosov vortex lattice solution A brief exploration O. Ogunnaike Final Presentation Ogunnaike Abrikosov vortex lattice solution Physics 295b 1 / 31 Table of Contents 1 Background 2 Quantization 3 Abrikosov

More information

Active Flux for Advection Diffusion

Active Flux for Advection Diffusion Active Flux for Advection Diffusion A Miracle in CFD Hiroaki Nishikawa National Institute of Aerospace! NIA CFD Seminar! August 25, 2015 In collaboration with the University of Michigan Supported by NASA

More information

Stable shock formation near plane-symmetry for nonlinear wave equations

Stable shock formation near plane-symmetry for nonlinear wave equations Stable shock formation near plane-symmetry for nonlinear wave equations Willie WY Wong wongwwy@member.ams.org Michigan State University University of Minnesota 9 March 2016 1 Based on: arxiv:1601.01303,

More information

Symmetries, Conservation Laws and Hamiltonian Structures in Geophysical Fluid Dynamics

Symmetries, Conservation Laws and Hamiltonian Structures in Geophysical Fluid Dynamics Symmetries, Conservation Laws and Hamiltonian Structures in Geophysical Fluid Dynamics Miguel A. Jiménez-Urias 1 Department of Oceanography University of Washington AMATH 573 1 Kinematics Canonical vs

More information

In two-dimensional barotropic flow, there is an exact relationship between mass

In two-dimensional barotropic flow, there is an exact relationship between mass 19. Baroclinic Instability In two-dimensional barotropic flow, there is an exact relationship between mass streamfunction ψ and the conserved quantity, vorticity (η) given by η = 2 ψ.the evolution of the

More information

Stability of Shear Flow

Stability of Shear Flow Stability of Shear Flow notes by Zhan Wang and Sam Potter Revised by FW WHOI GFD Lecture 3 June, 011 A look at energy stability, valid for all amplitudes, and linear stability for shear flows. 1 Nonlinear

More information

2.3 Damping, phases and all that

2.3 Damping, phases and all that 2.3. DAMPING, PHASES AND ALL THAT 107 2.3 Damping, phases and all that If we imagine taking our idealized mass on a spring and dunking it in water or, more dramatically, in molasses), then there will be

More information

Finite Element Analysis Prof. Dr. B. N. Rao Department of Civil engineering Indian Institute of Technology, Madras. Module - 01 Lecture - 17

Finite Element Analysis Prof. Dr. B. N. Rao Department of Civil engineering Indian Institute of Technology, Madras. Module - 01 Lecture - 17 Finite Element Analysis Prof. Dr. B. N. Rao Department of Civil engineering Indian Institute of Technology, Madras Module - 01 Lecture - 17 In the last class, we were looking at this general one-dimensional

More information

The Accelerator Hamiltonian in a Straight Coordinate System

The Accelerator Hamiltonian in a Straight Coordinate System Hamiltoninan Dynamics for Particle Accelerators, Lecture 2 The Accelerator Hamiltonian in a Straight Coordinate System Andy Wolski University of Liverpool, and the Cockcroft Institute, Daresbury, UK. Given

More information

Table of contents. d 2 y dx 2, As the equation is linear, these quantities can only be involved in the following manner:

Table of contents. d 2 y dx 2, As the equation is linear, these quantities can only be involved in the following manner: M ath 0 1 E S 1 W inter 0 1 0 Last Updated: January, 01 0 Solving Second Order Linear ODEs Disclaimer: This lecture note tries to provide an alternative approach to the material in Sections 4. 4. 7 and

More information

Fundamentals of Dynamical Systems / Discrete-Time Models. Dr. Dylan McNamara people.uncw.edu/ mcnamarad

Fundamentals of Dynamical Systems / Discrete-Time Models. Dr. Dylan McNamara people.uncw.edu/ mcnamarad Fundamentals of Dynamical Systems / Discrete-Time Models Dr. Dylan McNamara people.uncw.edu/ mcnamarad Dynamical systems theory Considers how systems autonomously change along time Ranges from Newtonian

More information

The Euler Equation of Gas-Dynamics

The Euler Equation of Gas-Dynamics The Euler Equation of Gas-Dynamics A. Mignone October 24, 217 In this lecture we study some properties of the Euler equations of gasdynamics, + (u) = ( ) u + u u + p = a p + u p + γp u = where, p and u

More information

Mathematical Theories of Turbulent Dynamical Systems

Mathematical Theories of Turbulent Dynamical Systems Mathematical Theories of Turbulent Dynamical Systems Di Qi, and Andrew J. Majda Courant Institute of Mathematical Sciences Fall 2016 Advanced Topics in Applied Math Di Qi, and Andrew J. Majda (CIMS) Mathematical

More information

Lecture 2 ENSO toy models

Lecture 2 ENSO toy models Lecture 2 ENSO toy models Eli Tziperman 2.3 A heuristic derivation of a delayed oscillator equation Let us consider first a heuristic derivation of an equation for the sea surface temperature in the East

More information

Note the diverse scales of eddy motion and self-similar appearance at different lengthscales of the turbulence in this water jet. Only eddies of size

Note the diverse scales of eddy motion and self-similar appearance at different lengthscales of the turbulence in this water jet. Only eddies of size L Note the diverse scales of eddy motion and self-similar appearance at different lengthscales of the turbulence in this water jet. Only eddies of size 0.01L or smaller are subject to substantial viscous

More information

α 2 )(k x ũ(t, η) + k z W (t, η)

α 2 )(k x ũ(t, η) + k z W (t, η) 1 3D Poiseuille Flow Over the next two lectures we will be going over the stabilization of the 3-D Poiseuille flow. For those of you who havent had fluids, that means we have a channel of fluid that is

More information

GFD 2012 Lecture 1: Dynamics of Coherent Structures and their Impact on Transport and Predictability

GFD 2012 Lecture 1: Dynamics of Coherent Structures and their Impact on Transport and Predictability GFD 2012 Lecture 1: Dynamics of Coherent Structures and their Impact on Transport and Predictability Jeffrey B. Weiss; notes by Duncan Hewitt and Pedram Hassanzadeh June 18, 2012 1 Introduction 1.1 What

More information

Lecture 9: Eigenvalues and Eigenvectors in Classical Mechanics (See Section 3.12 in Boas)

Lecture 9: Eigenvalues and Eigenvectors in Classical Mechanics (See Section 3.12 in Boas) Lecture 9: Eigenvalues and Eigenvectors in Classical Mechanics (See Section 3 in Boas) As suggested in Lecture 8 the formalism of eigenvalues/eigenvectors has many applications in physics, especially in

More information

The shallow water equations Lecture 8. (photo due to Clark Little /SWNS)

The shallow water equations Lecture 8. (photo due to Clark Little /SWNS) The shallow water equations Lecture 8 (photo due to Clark Little /SWNS) The shallow water equations This lecture: 1) Derive the shallow water equations 2) Their mathematical structure 3) Some consequences

More information

NUMERICAL SIMULATION OF THE TAYLOR-GREEN VORTEX

NUMERICAL SIMULATION OF THE TAYLOR-GREEN VORTEX NUMERICAL SIMULATION OF THE TAYLOR-GREEN VORTEX Steven A. Orszaq Department of Mathematics Massachusetts Institute of Technology Cambridge, Massachusetts, 02139 U.S.A. INTRODUCTION In a classic paper~

More information

Ch. 8 Math Preliminaries for Lossy Coding. 8.5 Rate-Distortion Theory

Ch. 8 Math Preliminaries for Lossy Coding. 8.5 Rate-Distortion Theory Ch. 8 Math Preliminaries for Lossy Coding 8.5 Rate-Distortion Theory 1 Introduction Theory provide insight into the trade between Rate & Distortion This theory is needed to answer: What do typical R-D

More information

G : Statistical Mechanics

G : Statistical Mechanics G25.2651: Statistical Mechanics Notes for Lecture 15 Consider Hamilton s equations in the form I. CLASSICAL LINEAR RESPONSE THEORY q i = H p i ṗ i = H q i We noted early in the course that an ensemble

More information

ESCI 343 Atmospheric Dynamics II Lesson 11 - Rossby Waves

ESCI 343 Atmospheric Dynamics II Lesson 11 - Rossby Waves ESCI 343 Atmospheric Dynamics II Lesson 11 - Rossby Waves Reference: An Introduction to Dynamic Meteorology (4 rd edition), J.R. Holton Atmosphere-Ocean Dynamics, A.E. Gill Fundamentals of Atmospheric

More information

Linear Fractionally Damped Oscillator. Mark Naber a) Department of Mathematics. Monroe County Community College. Monroe, Michigan,

Linear Fractionally Damped Oscillator. Mark Naber a) Department of Mathematics. Monroe County Community College. Monroe, Michigan, Linear Fractionally Damped Oscillator Mark Naber a) Department of Mathematics Monroe County Community College Monroe, Michigan, 48161-9746 In this paper the linearly damped oscillator equation is considered

More information

Physics 106a, Caltech 13 November, Lecture 13: Action, Hamilton-Jacobi Theory. Action-Angle Variables

Physics 106a, Caltech 13 November, Lecture 13: Action, Hamilton-Jacobi Theory. Action-Angle Variables Physics 06a, Caltech 3 November, 08 Lecture 3: Action, Hamilton-Jacobi Theory Starred sections are advanced topics for interest and future reference. The unstarred material will not be tested on the final

More information

Lecture 14: Ordinary Differential Equation I. First Order

Lecture 14: Ordinary Differential Equation I. First Order Lecture 14: Ordinary Differential Equation I. First Order 1. Key points Maple commands dsolve 2. Introduction We consider a function of one variable. An ordinary differential equations (ODE) specifies

More information

Frequency spectra at large wavenumbers in two-dimensional Hasegawa-Wakatani turbulence

Frequency spectra at large wavenumbers in two-dimensional Hasegawa-Wakatani turbulence Frequency spectra at large wavenumbers in two-dimensional Hasegawa-Wakatani turbulence Juhyung Kim and P. W. Terry Department of Physics, University of Wisconsin-Madison October 30th, 2012 2012 APS-DPP

More information

Orbital Motion in Schwarzschild Geometry

Orbital Motion in Schwarzschild Geometry Physics 4 Lecture 29 Orbital Motion in Schwarzschild Geometry Lecture 29 Physics 4 Classical Mechanics II November 9th, 2007 We have seen, through the study of the weak field solutions of Einstein s equation

More information

Dynamics and Stability application to submerged bodies, vortex streets and vortex-body systems

Dynamics and Stability application to submerged bodies, vortex streets and vortex-body systems Dynamics and Stability application to submerged bodies, vortex streets and vortex-body systems Eva Kanso University of Southern California CDS 140B Introduction to Dynamics February 5 and 7, 2008 Fish

More information

Bayesian Inference for Normal Mean

Bayesian Inference for Normal Mean Al Nosedal. University of Toronto. November 18, 2015 Likelihood of Single Observation The conditional observation distribution of y µ is Normal with mean µ and variance σ 2, which is known. Its density

More information

Classical Mechanics Comprehensive Exam Solution

Classical Mechanics Comprehensive Exam Solution Classical Mechanics Comprehensive Exam Solution January 31, 011, 1:00 pm 5:pm Solve the following six problems. In the following problems, e x, e y, and e z are unit vectors in the x, y, and z directions,

More information

7 The Navier-Stokes Equations

7 The Navier-Stokes Equations 18.354/12.27 Spring 214 7 The Navier-Stokes Equations In the previous section, we have seen how one can deduce the general structure of hydrodynamic equations from purely macroscopic considerations and

More information

Exponential asymptotics theory for stripe solitons in two-dimensional periodic potentials

Exponential asymptotics theory for stripe solitons in two-dimensional periodic potentials NLS Workshop: Crete 2013 Exponential asymptotics theory for stripe solitons in two-dimensional periodic potentials Jianke Yang University of Vermont Collaborators: Sean Nixon (University of Vermont) Triantaphyllos

More information

2 Canonical quantization

2 Canonical quantization Phys540.nb 7 Canonical quantization.1. Lagrangian mechanics and canonical quantization Q: How do we quantize a general system?.1.1.lagrangian Lagrangian mechanics is a reformulation of classical mechanics.

More information

Ginzburg-Landau length scales

Ginzburg-Landau length scales 597 Lecture 6. Ginzburg-Landau length scales This lecture begins to apply the G-L free energy when the fields are varying in space, but static in time hence a mechanical equilibrium). Thus, we will be

More information

Prototype Instabilities

Prototype Instabilities Prototype Instabilities David Randall Introduction Broadly speaking, a growing atmospheric disturbance can draw its kinetic energy from two possible sources: the kinetic and available potential energies

More information

1 Measurable Functions

1 Measurable Functions 36-752 Advanced Probability Overview Spring 2018 2. Measurable Functions, Random Variables, and Integration Instructor: Alessandro Rinaldo Associated reading: Sec 1.5 of Ash and Doléans-Dade; Sec 1.3 and

More information

2. As we shall see, we choose to write in terms of σ x because ( X ) 2 = σ 2 x.

2. As we shall see, we choose to write in terms of σ x because ( X ) 2 = σ 2 x. Section 5.1 Simple One-Dimensional Problems: The Free Particle Page 9 The Free Particle Gaussian Wave Packets The Gaussian wave packet initial state is one of the few states for which both the { x } and

More information

Hamiltonian formulation: water waves Lecture 3

Hamiltonian formulation: water waves Lecture 3 Hamiltonian formulation: water waves Lecture 3 Wm.. Hamilton V.E. Zakharov Hamiltonian formulation: water waves This lecture: A. apid review of Hamiltonian machinery (see also extra notes) B. Hamiltonian

More information

Homogeneous Turbulence Dynamics

Homogeneous Turbulence Dynamics Homogeneous Turbulence Dynamics PIERRE SAGAUT Universite Pierre et Marie Curie CLAUDE CAMBON Ecole Centrale de Lyon «Hf CAMBRIDGE Щ0 UNIVERSITY PRESS Abbreviations Used in This Book page xvi 1 Introduction

More information

Chem 3502/4502 Physical Chemistry II (Quantum Mechanics) 3 Credits Spring Semester 2006 Christopher J. Cramer. Lecture 9, February 8, 2006

Chem 3502/4502 Physical Chemistry II (Quantum Mechanics) 3 Credits Spring Semester 2006 Christopher J. Cramer. Lecture 9, February 8, 2006 Chem 3502/4502 Physical Chemistry II (Quantum Mechanics) 3 Credits Spring Semester 2006 Christopher J. Cramer Lecture 9, February 8, 2006 The Harmonic Oscillator Consider a diatomic molecule. Such a molecule

More information

16 Singular perturbations

16 Singular perturbations 18.354J Nonlinear Dynamics II: Continuum Systems Lecture 1 6 Spring 2015 16 Singular perturbations The singular perturbation is the bogeyman of applied mathematics. The fundamental problem is to ask: when

More information

Invariant measures and the soliton resolution conjecture

Invariant measures and the soliton resolution conjecture Invariant measures and the soliton resolution conjecture Stanford University The focusing nonlinear Schrödinger equation A complex-valued function u of two variables x and t, where x R d is the space variable

More information

CSC 2541: Bayesian Methods for Machine Learning

CSC 2541: Bayesian Methods for Machine Learning CSC 2541: Bayesian Methods for Machine Learning Radford M. Neal, University of Toronto, 2011 Lecture 3 More Markov Chain Monte Carlo Methods The Metropolis algorithm isn t the only way to do MCMC. We ll

More information

MATHEMATICAL STRUCTURES IN CONTINUOUS DYNAMICAL SYSTEMS

MATHEMATICAL STRUCTURES IN CONTINUOUS DYNAMICAL SYSTEMS MATHEMATICAL STRUCTURES IN CONTINUOUS DYNAMICAL SYSTEMS Poisson Systems and complete integrability with applications from Fluid Dynamics E. van Groesen Dept. of Applied Mathematics University oftwente

More information

22. Lasers. Stimulated Emission: Gain. Population Inversion. Rate equation analysis. Two-level, three-level, and four-level systems

22. Lasers. Stimulated Emission: Gain. Population Inversion. Rate equation analysis. Two-level, three-level, and four-level systems . Lasers Stimulated Emission: Gain Population Inversion Rate equation analysis Two-level, three-level, and four-level systems What is a laser? LASER: Light Amplification by Stimulated Emission of Radiation

More information

Lecture 8. The Second Law of Thermodynamics; Energy Exchange

Lecture 8. The Second Law of Thermodynamics; Energy Exchange Lecture 8 The Second Law of Thermodynamics; Energy Exchange The second law of thermodynamics Statistics of energy exchange General definition of temperature Why heat flows from hot to cold Reading for

More information

Cascades and statistical equilibrium in shell models of turbulence

Cascades and statistical equilibrium in shell models of turbulence PHYSICAL REVIEW E VOLUME 53, UMBER 5 MAY 1996 Cascades and statistical equilibrium in shell models of turbulence P. D. Ditlevsen and I. A. Mogensen The iels Bohr Institute, Department for Geophysics, University

More information

MATH 415, WEEK 11: Bifurcations in Multiple Dimensions, Hopf Bifurcation

MATH 415, WEEK 11: Bifurcations in Multiple Dimensions, Hopf Bifurcation MATH 415, WEEK 11: Bifurcations in Multiple Dimensions, Hopf Bifurcation 1 Bifurcations in Multiple Dimensions When we were considering one-dimensional systems, we saw that subtle changes in parameter

More information

Introduction to multiscale modeling and simulation. Explicit methods for ODEs : forward Euler. y n+1 = y n + tf(y n ) dy dt = f(y), y(0) = y 0

Introduction to multiscale modeling and simulation. Explicit methods for ODEs : forward Euler. y n+1 = y n + tf(y n ) dy dt = f(y), y(0) = y 0 Introduction to multiscale modeling and simulation Lecture 5 Numerical methods for ODEs, SDEs and PDEs The need for multiscale methods Two generic frameworks for multiscale computation Explicit methods

More information

Hamiltonian Dynamics

Hamiltonian Dynamics Hamiltonian Dynamics CDS 140b Joris Vankerschaver jv@caltech.edu CDS Feb. 10, 2009 Joris Vankerschaver (CDS) Hamiltonian Dynamics Feb. 10, 2009 1 / 31 Outline 1. Introductory concepts; 2. Poisson brackets;

More information

Central Force Problem

Central Force Problem Central Force Problem Consider two bodies of masses, say earth and moon, m E and m M moving under the influence of mutual gravitational force of potential V(r). Now Langangian of the system is where, µ

More information

On the decay of two-dimensional homogeneous turbulence

On the decay of two-dimensional homogeneous turbulence On the decay of two-dimensional homogeneous turbulence J. R. Chasnov a) The Hong Kong University of Science and Technology, Clear Water Bay, Kowloon, Hong Kong Received 19 June 1996; accepted 3 September

More information

(Jim You have a note for yourself here that reads Fill in full derivation, this is a sloppy treatment ).

(Jim You have a note for yourself here that reads Fill in full derivation, this is a sloppy treatment ). Lecture. dministration Collect problem set. Distribute problem set due October 3, 004.. nd law of thermodynamics (Jim You have a note for yourself here that reads Fill in full derivation, this is a sloppy

More information

ON THE ZERO-ONE LAW AND THE LAW OF LARGE NUMBERS FOR RANDOM WALK IN MIXING RAN- DOM ENVIRONMENT

ON THE ZERO-ONE LAW AND THE LAW OF LARGE NUMBERS FOR RANDOM WALK IN MIXING RAN- DOM ENVIRONMENT Elect. Comm. in Probab. 10 (2005), 36 44 ELECTRONIC COMMUNICATIONS in PROBABILITY ON THE ZERO-ONE LAW AND THE LAW OF LARGE NUMBERS FOR RANDOM WALK IN MIXING RAN- DOM ENVIRONMENT FIRAS RASSOUL AGHA Department

More information

STONY BROOK UNIVERSITY DEPARTMENT OF PHYSICS AND ASTRONOMY. Comprehensive Examination. Classical Mechanics. August 25, 2014

STONY BROOK UNIVERSITY DEPARTMENT OF PHYSICS AND ASTRONOMY. Comprehensive Examination. Classical Mechanics. August 25, 2014 STONY BROOK UNIVERSITY DEPARTMENT OF PHYSICS AND ASTRONOMY Comprehensive Examination Classical Mechanics August 25, 2014 General Instructions: Three problems are given. If you take this exam as a placement

More information

Normal-Mode Analysis of a Baroclinic Wave-Mean Oscillation

Normal-Mode Analysis of a Baroclinic Wave-Mean Oscillation NOVEMBER 2006 W O L F E A N D S A M E L S O N 2795 Normal-Mode Analysis of a Baroclinic Wave-Mean Oscillation CHRISTOPHER L. WOLFE AND ROGER M. SAMELSON College of Oceanic and Atmospheric Sciences, Oregon

More information

Hamiltonian Field Theory

Hamiltonian Field Theory Hamiltonian Field Theory August 31, 016 1 Introduction So far we have treated classical field theory using Lagrangian and an action principle for Lagrangian. This approach is called Lagrangian field theory

More information

Chapter 9. Geostrophy, Quasi-Geostrophy and the Potential Vorticity Equation

Chapter 9. Geostrophy, Quasi-Geostrophy and the Potential Vorticity Equation Chapter 9 Geostrophy, Quasi-Geostrophy and the Potential Vorticity Equation 9.1 Geostrophy and scaling. We examined in the last chapter some consequences of the dynamical balances for low frequency, nearly

More information

EN Nonlinear Control and Planning in Robotics Lecture 3: Stability February 4, 2015

EN Nonlinear Control and Planning in Robotics Lecture 3: Stability February 4, 2015 EN530.678 Nonlinear Control and Planning in Robotics Lecture 3: Stability February 4, 2015 Prof: Marin Kobilarov 0.1 Model prerequisites Consider ẋ = f(t, x). We will make the following basic assumptions

More information

August We can therefore write for the energy release of some reaction in terms of mass excesses: Q aa = [ m(a)+ m(a) m(y) m(y)]. (1.

August We can therefore write for the energy release of some reaction in terms of mass excesses: Q aa = [ m(a)+ m(a) m(y) m(y)]. (1. 14 UNIT 1. ENERGY GENERATION Figure 1.1: Illustration of the concept of binding energy of a nucleus. Typically, a nucleus has a lower energy than if its particles were free. Source of Figure 1.1: http://staff.orecity.k12.or.us/les.sitton/nuclear/313.htm.

More information

Physics 6720 Introduction to Statistics April 4, 2017

Physics 6720 Introduction to Statistics April 4, 2017 Physics 6720 Introduction to Statistics April 4, 2017 1 Statistics of Counting Often an experiment yields a result that can be classified according to a set of discrete events, giving rise to an integer

More information

Nonlinear Balance on an Equatorial Beta Plane

Nonlinear Balance on an Equatorial Beta Plane Nonlinear Balance on an Equatorial Beta Plane David J. Raymond Physics Department and Geophysical Research Center New Mexico Tech Socorro, NM 87801 April 26, 2009 Summary Extension of the nonlinear balance

More information

Cascade Phenomenology in Turbulence: Navier-Stokes and MHD

Cascade Phenomenology in Turbulence: Navier-Stokes and MHD Cascade Phenomenology in Turbulence: Navier-Stoes and MHD WeiHan Hsiao a a Department of Physics, The University of Chicago E-mail: weihanhsiao@uchicago.edu ABSTRACT: This is the note prepared for the

More information

Hamiltonian flow in phase space and Liouville s theorem (Lecture 5)

Hamiltonian flow in phase space and Liouville s theorem (Lecture 5) Hamiltonian flow in phase space and Liouville s theorem (Lecture 5) January 26, 2016 90/441 Lecture outline We will discuss the Hamiltonian flow in the phase space. This flow represents a time dependent

More information

NATIONAL UNIVERSITY OF SINGAPORE PC5215 NUMERICAL RECIPES WITH APPLICATIONS. (Semester I: AY ) Time Allowed: 2 Hours

NATIONAL UNIVERSITY OF SINGAPORE PC5215 NUMERICAL RECIPES WITH APPLICATIONS. (Semester I: AY ) Time Allowed: 2 Hours NATIONAL UNIVERSITY OF SINGAPORE PC55 NUMERICAL RECIPES WITH APPLICATIONS (Semester I: AY 0-) Time Allowed: Hours INSTRUCTIONS TO CANDIDATES. This examination paper contains FIVE questions and comprises

More information

Information Theory and Predictability Lecture 6: Maximum Entropy Techniques

Information Theory and Predictability Lecture 6: Maximum Entropy Techniques Information Theory and Predictability Lecture 6: Maximum Entropy Techniques 1 Philosophy Often with random variables of high dimensional systems it is difficult to deduce the appropriate probability distribution

More information

Resonance and response

Resonance and response Chapter 2 Resonance and response Last updated September 20, 2008 In this section of the course we begin with a very simple system a mass hanging from a spring and see how some remarkable ideas emerge.

More information

Lecture 8. The Second Law of Thermodynamics; Energy Exchange

Lecture 8. The Second Law of Thermodynamics; Energy Exchange Lecture 8 The Second Law of Thermodynamics; Energy Exchange The second law of thermodynamics Statistics of energy exchange General definition of temperature Why heat flows from hot to cold Reading for

More information

Structure Formation and Particle Mixing in a Shear Flow Boundary Layer

Structure Formation and Particle Mixing in a Shear Flow Boundary Layer Structure Formation and Particle Mixing in a Shear Flow Boundary Layer Matthew Palotti palotti@astro.wisc.edu University of Wisconsin Center for Magnetic Self Organization Ellen Zweibel University of Wisconsin

More information

The Klein Gordon Equation

The Klein Gordon Equation December 30, 2016 7:35 PM 1. Derivation Let s try to write down the correct relativistic equation of motion for a single particle and then quantize as usual. a. So take (canonical momentum) The Schrödinger

More information

Microscopic Hamiltonian dynamics perturbed by a conservative noise

Microscopic Hamiltonian dynamics perturbed by a conservative noise Microscopic Hamiltonian dynamics perturbed by a conservative noise CNRS, Ens Lyon April 2008 Introduction Introduction Fourier s law : Consider a macroscopic system in contact with two heat baths with

More information

General introduction to Hydrodynamic Instabilities

General introduction to Hydrodynamic Instabilities KTH ROYAL INSTITUTE OF TECHNOLOGY General introduction to Hydrodynamic Instabilities L. Brandt & J.-Ch. Loiseau KTH Mechanics, November 2015 Luca Brandt Professor at KTH Mechanics Email: luca@mech.kth.se

More information

Time-Dependent Statistical Mechanics 5. The classical atomic fluid, classical mechanics, and classical equilibrium statistical mechanics

Time-Dependent Statistical Mechanics 5. The classical atomic fluid, classical mechanics, and classical equilibrium statistical mechanics Time-Dependent Statistical Mechanics 5. The classical atomic fluid, classical mechanics, and classical equilibrium statistical mechanics c Hans C. Andersen October 1, 2009 While we know that in principle

More information

Andrea Marini. Introduction to the Many-Body problem (I): the diagrammatic approach

Andrea Marini. Introduction to the Many-Body problem (I): the diagrammatic approach Introduction to the Many-Body problem (I): the diagrammatic approach Andrea Marini Material Science Institute National Research Council (Monterotondo Stazione, Italy) Zero-Point Motion Many bodies and

More information

AA 242B / ME 242B: Mechanical Vibrations (Spring 2016)

AA 242B / ME 242B: Mechanical Vibrations (Spring 2016) AA 242B / ME 242B: Mechanical Vibrations (Spring 206) Solution of Homework #3 Control Tab Figure : Schematic for the control tab. Inadequacy of a static-test A static-test for measuring θ would ideally

More information

The semiclassical. model for adiabatic slow-fast systems and the Hofstadter butterfly

The semiclassical. model for adiabatic slow-fast systems and the Hofstadter butterfly The semiclassical. model for adiabatic slow-fast systems and the Hofstadter butterfly Stefan Teufel Mathematisches Institut, Universität Tübingen Archimedes Center Crete, 29.05.2012 1. Reminder: Semiclassics

More information