Advection, Conservation, Conserved Physical Quantities, Wave Equations

Size: px
Start display at page:

Download "Advection, Conservation, Conserved Physical Quantities, Wave Equations"

Transcription

1 EP711 Supplementary Material Thursday, September 4, 2014 Advection, Conservation, Conserved Physical Quantities, Wave Equations Jonathan B. Snively!Embry-Riddle Aeronautical University

2 Contents EP711 Supplementary Material Thursday, September 4, 2014 Lagrangian vs. Eulerian Coordinates Advection and Conservation Conserved Physical Quantities Wave Equations

3 Lagrangian Description of Fluid Motion Describes temporal evolution of a quantity Q in a parcel of gas or fluid. Assume Q(x(t),t), where x(t) may be a vector position and t is time, tracking the evolution of a single parcel s properties. Effectively, Q is a function of time only. Conservation of Q within the parcel is expressed by: dq dt =0 Which, simply, states that some quantity Q in a parcel does not vary in time the total derivative of Q is zero.

4 Total Derivative Since Q is a function of x(t) and t, the Lagrangian total derivative, may be expanded with help from the chain rule, yielding the following expression: dq @t rq Considering that x/ t=v (velocity), dq dt + ~v Thus, the material derivative can be expanded as: d + ~v r

5 Total Derivative In case you are having doubts about the total derivative and the chain rule, let s write out the full expression, where x=(x(t), y(t), z(t)): dq(x, y, z, t) @x Or, Where dq @t rq ˆk

6 Eulerian Description of Fluid Motion Describes temporal evolution of quantity Q in a gas or fluid at fixed points in space. Conservation of Q in space and time + ~v rq =0 This states that a quantity Q varies in space and time, while it is advected (transported) by a fluid velocity field v. This is also known as an advection equation, which here is not expressed in its most-general form.

7 Contents EP711 Supplementary Material Thursday, September 4, 2014 Lagrangian vs. Eulerian Coordinates Advection and Conservation Conserved Physical Quantities Wave Equations

8 Advection Equation for Non-Divergent Flow A more general conservative advection equation, describing conservation of a quantity in a divergent flow, is given + r (Q~v) =0 r (Q~v) =~v rq + Qr ~v In contrast, the previous expressions, given by: dq dt + ~v rq have assumed non-divergent velocity: r ~v =0

9 Conservation Laws and Continuity Equations This more general advection equation can be considered a continuity equation or conservation law for a quantity Q that is conserved under all conditions for example, mass density, momentum, + r (Q~v) =0 Here, the quantity in parentheses is known as the flux f, such that the expression can be = r ~f Although Q is here a scalar, it does not need to be!

10 Conservation Laws and Continuity Equations fx Q dz fx + ( fx/ x) dx = r ~f

11 Flux Form (for Conservative Advection) For a scalar quantity (such as density), the flux f depends on Q(x,t), such that the expression can be = r ~f Where Q(x,t) is a vector, this expression effectively contains one equation for each spatial dimension; f is then a tensor. An example we will discuss is the momentum conservation equation, here shown using somewhat ( ~v) = r ( v iv j + p ij )

12 Just a note... The advection equation is a form of a one-way wave equation, with solutions traveling at velocity v. Combine two of them to obtain the familiar second-order wave equation!

13 Contents EP711 Supplementary Material Thursday, September 4, 2014 Lagrangian vs. Eulerian Coordinates Advection and Conservation Conserved Physical Quantities Wave Equations

14 Conservation of Mass For a scalar quantity (such as density), the flux f depends on Q(x,t), such that the expression can be = r ~f The best-known conservation law is the continuity equation for neutral = r ( ~v) @x ( v)

15 Conservation of Charge (Same!) A vector current density is indicative of a flux of scalar charge density at a certain drift velocity: The resulting conservation law is the continuity equation for electric = r ( ~v) Integral form:

16 Conservation of Momentum Momentum equations for each spatial direction (x, y, z for Cartesian coordinates) here contained in one expression as a vector ( ~v) = r ( v iv j + p ij ) This expression effectively describes Newton s law. In one dimension, momentum conservation can ( ( v2 + p)

17 Conservation of Energy Energy is a scalar quantity = r {(E + p)~v} Here, it is important to define how E relates to other quantities via an equation of state We will assume an ideal single-constituent gas. E = (~v ~v) Internal + Kinetic The internal energy is given by: = c v T = p ( 1)

18 Euler Equations of Motion: Example equations for a simple atmosphere supporting acoustic and gravity waves, but (lazily) excluding viscosity and thermal conduction (e.g., Snively s 2003 MS thesis): We model the atmosphere as a non-rotating, fully-nonlinear, compressible gas: Mass Density: Momentum: Energy: + ( v) t = 0 (1) ( v)+ ( vv) t = p g (2) E t + { (E + p)v} = gv z (3) where the energy equation and the equation of state for an ideal gas are defined as: p State: E = ( 1) + 1 (v v) (4) 2 where is density, is pressure, is the fluid velocity, along with energy density

19 Contents EP711 Supplementary Material Thursday, September 4, 2014 Lagrangian vs. Eulerian Coordinates Advection and Conservation Conserved Physical Quantities Wave Equations

20 Wave Equations The hyperbolic PDEs that we will investigate in this course yield wave equation solutions when manipulated in the appropriate 2 2 c 2 r 2 u 2 2 c 2 =0 The wave equation can be described instead in terms of two advection equations with + =0 A system involving two advection equations and two variables can be constructed...

21 Idealized System of Two Advection Equations A system of two coupled PDEs describing advection of quantities u and v can @t + =0 Combined, they form a wave equations with characteristic speed c. This form is consistent with that describing onedimensional EM wave propagation, acoustic wave propagation, or wave propagation on a string.

22 Recall from Undergrad Maxwell s Equations: Note: Potter demonstrates calculation of Lax method stability for a linear system of PDEs based on Maxwell s equations! The same can be applied for acoustics (hint-hint)...

23 Linear Acoustics Equations The equations of linear acoustics describe conservation of mass density (continuity) and conservation of linear momentum, which in the following system have been coupled via an ideal gas equation + @t + =0 Here, p is pressure, u is velocity, rho0 is density, and gamma is the ratio of specific heats.

24 Wave Equation Solution Like general wave equation solutions, the wave equation can be obtained as =0 Substitute from momentum 2 2 p 0 2 = The speed of sound can be expressed: c 2 s = p 2 2 = c

25 Dispersion Relations Wave dispersion relations relate the effective wavenumber and frequency of waves within a system under the assumption of Fourier time-harmonic solutions of the form: u(x, t) =U o e j(!t 2 2 c 2 =0! 2 + c 2 k 2 =0 The resulting expression can be rewritten as:! = ck Which is an ideal dispersion (non-dispersive!) relation for waves with phase velocity and group velocity equal to c. NOTE: c is not the fluid velocity, but a characteristic speed of the physical system

2 Equations of Motion

2 Equations of Motion 2 Equations of Motion system. In this section, we will derive the six full equations of motion in a non-rotating, Cartesian coordinate 2.1 Six equations of motion (non-rotating, Cartesian coordinates)

More information

Intuitive Introduction To Acoustic-gravity Waves

Intuitive Introduction To Acoustic-gravity Waves EP711 Supplementary Material Thursday, January 26 th, 2012 Intuitive Introduction To Acoustic-gravity Waves Jonathan B. Snively Embry-Riddle Aeronautical University 1 Contents EP711 Supplementary Material

More information

Math background. Physics. Simulation. Related phenomena. Frontiers in graphics. Rigid fluids

Math background. Physics. Simulation. Related phenomena. Frontiers in graphics. Rigid fluids Fluid dynamics Math background Physics Simulation Related phenomena Frontiers in graphics Rigid fluids Fields Domain Ω R2 Scalar field f :Ω R Vector field f : Ω R2 Types of derivatives Derivatives measure

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

Getting started: CFD notation

Getting started: CFD notation PDE of p-th order Getting started: CFD notation f ( u,x, t, u x 1,..., u x n, u, 2 u x 1 x 2,..., p u p ) = 0 scalar unknowns u = u(x, t), x R n, t R, n = 1,2,3 vector unknowns v = v(x, t), v R m, m =

More information

OPAC102. The Acoustic Wave Equation

OPAC102. The Acoustic Wave Equation OPAC102 The Acoustic Wave Equation Acoustic waves in fluid Acoustic waves constitute one kind of pressure fluctuation that can exist in a compressible fluid. The restoring forces responsible for propagating

More information

Macroscopic plasma description

Macroscopic plasma description Macroscopic plasma description Macroscopic plasma theories are fluid theories at different levels single fluid (magnetohydrodynamics MHD) two-fluid (multifluid, separate equations for electron and ion

More information

Lecture 1: Introduction to Linear and Non-Linear Waves

Lecture 1: Introduction to Linear and Non-Linear Waves Lecture 1: Introduction to Linear and Non-Linear Waves Lecturer: Harvey Segur. Write-up: Michael Bates June 15, 2009 1 Introduction to Water Waves 1.1 Motivation and Basic Properties There are many types

More information

MATH 280 Multivariate Calculus Fall Integrating a vector field over a curve

MATH 280 Multivariate Calculus Fall Integrating a vector field over a curve MATH 280 Multivariate alculus Fall 2012 Definition Integrating a vector field over a curve We are given a vector field F and an oriented curve in the domain of F as shown in the figure on the left below.

More information

EULERIAN DERIVATIONS OF NON-INERTIAL NAVIER-STOKES EQUATIONS

EULERIAN DERIVATIONS OF NON-INERTIAL NAVIER-STOKES EQUATIONS EULERIAN DERIVATIONS OF NON-INERTIAL NAVIER-STOKES EQUATIONS ML Combrinck, LN Dala Flamengro, a div of Armscor SOC Ltd & University of Pretoria, Council of Scientific and Industrial Research & University

More information

Mathematical Concepts & Notation

Mathematical Concepts & Notation Mathematical Concepts & Notation Appendix A: Notation x, δx: a small change in x t : the partial derivative with respect to t holding the other variables fixed d : the time derivative of a quantity that

More information

Chapter 3. Finite Difference Methods for Hyperbolic Equations Introduction Linear convection 1-D wave equation

Chapter 3. Finite Difference Methods for Hyperbolic Equations Introduction Linear convection 1-D wave equation Chapter 3. Finite Difference Methods for Hyperbolic Equations 3.1. Introduction Most hyperbolic problems involve the transport of fluid properties. In the equations of motion, the term describing the transport

More information

Fundamentals of Atmospheric Modelling

Fundamentals of Atmospheric Modelling M.Sc. in Computational Science Fundamentals of Atmospheric Modelling Peter Lynch, Met Éireann Mathematical Computation Laboratory (Opp. Room 30) Dept. of Maths. Physics, UCD, Belfield. January April, 2004.

More information

Introduction to Magnetohydrodynamics (MHD)

Introduction to Magnetohydrodynamics (MHD) Introduction to Magnetohydrodynamics (MHD) Tony Arber University of Warwick 4th SOLARNET Summer School on Solar MHD and Reconnection Aim Derivation of MHD equations from conservation laws Quasi-neutrality

More information

The Calculus of Vec- tors

The Calculus of Vec- tors Physics 2460 Electricity and Magnetism I, Fall 2007, Lecture 3 1 The Calculus of Vec- Summary: tors 1. Calculus of Vectors: Limits and Derivatives 2. Parametric representation of Curves r(t) = [x(t), y(t),

More information

1/3/2011. This course discusses the physical laws that govern atmosphere/ocean motions.

1/3/2011. This course discusses the physical laws that govern atmosphere/ocean motions. Lecture 1: Introduction and Review Dynamics and Kinematics Kinematics: The term kinematics means motion. Kinematics is the study of motion without regard for the cause. Dynamics: On the other hand, dynamics

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

PDE Solvers for Fluid Flow

PDE Solvers for Fluid Flow PDE Solvers for Fluid Flow issues and algorithms for the Streaming Supercomputer Eran Guendelman February 5, 2002 Topics Equations for incompressible fluid flow 3 model PDEs: Hyperbolic, Elliptic, Parabolic

More information

Sec. 1.1: Basics of Vectors

Sec. 1.1: Basics of Vectors Sec. 1.1: Basics of Vectors Notation for Euclidean space R n : all points (x 1, x 2,..., x n ) in n-dimensional space. Examples: 1. R 1 : all points on the real number line. 2. R 2 : all points (x 1, x

More information

2. FLUID-FLOW EQUATIONS SPRING 2019

2. FLUID-FLOW EQUATIONS SPRING 2019 2. FLUID-FLOW EQUATIONS SPRING 2019 2.1 Introduction 2.2 Conservative differential equations 2.3 Non-conservative differential equations 2.4 Non-dimensionalisation Summary Examples 2.1 Introduction Fluid

More information

NDT&E Methods: UT. VJ Technologies CAVITY INSPECTION. Nondestructive Testing & Evaluation TPU Lecture Course 2015/16.

NDT&E Methods: UT. VJ Technologies CAVITY INSPECTION. Nondestructive Testing & Evaluation TPU Lecture Course 2015/16. CAVITY INSPECTION NDT&E Methods: UT VJ Technologies NDT&E Methods: UT 6. NDT&E: Introduction to Methods 6.1. Ultrasonic Testing: Basics of Elasto-Dynamics 6.2. Principles of Measurement 6.3. The Pulse-Echo

More information

Topic 5.1: Line Element and Scalar Line Integrals

Topic 5.1: Line Element and Scalar Line Integrals Math 275 Notes Topic 5.1: Line Element and Scalar Line Integrals Textbook Section: 16.2 More Details on Line Elements (vector dr, and scalar ds): http://www.math.oregonstate.edu/bridgebook/book/math/drvec

More information

CHAPTER 7 SEVERAL FORMS OF THE EQUATIONS OF MOTION

CHAPTER 7 SEVERAL FORMS OF THE EQUATIONS OF MOTION CHAPTER 7 SEVERAL FORMS OF THE EQUATIONS OF MOTION 7.1 THE NAVIER-STOKES EQUATIONS Under the assumption of a Newtonian stress-rate-of-strain constitutive equation and a linear, thermally conductive medium,

More information

Introduction to Partial Differential Equations

Introduction to Partial Differential Equations Introduction to Partial Differential Equations Partial differential equations arise in a number of physical problems, such as fluid flow, heat transfer, solid mechanics and biological processes. These

More information

Control Volume. Dynamics and Kinematics. Basic Conservation Laws. Lecture 1: Introduction and Review 1/24/2017

Control Volume. Dynamics and Kinematics. Basic Conservation Laws. Lecture 1: Introduction and Review 1/24/2017 Lecture 1: Introduction and Review Dynamics and Kinematics Kinematics: The term kinematics means motion. Kinematics is the study of motion without regard for the cause. Dynamics: On the other hand, dynamics

More information

Lecture 1: Introduction and Review

Lecture 1: Introduction and Review Lecture 1: Introduction and Review Review of fundamental mathematical tools Fundamental and apparent forces Dynamics and Kinematics Kinematics: The term kinematics means motion. Kinematics is the study

More information

Dr. Allen Back. Sep. 10, 2014

Dr. Allen Back. Sep. 10, 2014 Dr. Allen Back Sep. 10, 2014 The chain rule in multivariable calculus is in some ways very simple. But it can lead to extremely intricate sorts of relationships (try thermodynamics in physical chemistry...

More information

Lecture 3: 1. Lecture 3.

Lecture 3: 1. Lecture 3. Lecture 3: 1 Lecture 3. Lecture 3: 2 Plan for today Summary of the key points of the last lecture. Review of vector and tensor products : the dot product (or inner product ) and the cross product (or vector

More information

Physics 451/551 Theoretical Mechanics. G. A. Krafft Old Dominion University Jefferson Lab Lecture 18

Physics 451/551 Theoretical Mechanics. G. A. Krafft Old Dominion University Jefferson Lab Lecture 18 Physics 451/551 Theoretical Mechanics G. A. Krafft Old Dominion University Jefferson Lab Lecture 18 Theoretical Mechanics Fall 018 Properties of Sound Sound Waves Requires medium for propagation Mainly

More information

Entropy generation and transport

Entropy generation and transport Chapter 7 Entropy generation and transport 7.1 Convective form of the Gibbs equation In this chapter we will address two questions. 1) How is Gibbs equation related to the energy conservation equation?

More information

Daniel J. Jacob, Models of Atmospheric Transport and Chemistry, 2007.

Daniel J. Jacob, Models of Atmospheric Transport and Chemistry, 2007. 1 0. CHEMICAL TRACER MODELS: AN INTRODUCTION Concentrations of chemicals in the atmosphere are affected by four general types of processes: transport, chemistry, emissions, and deposition. 3-D numerical

More information

2. Conservation of Mass

2. Conservation of Mass 2 Conservation of Mass The equation of mass conservation expresses a budget for the addition and removal of mass from a defined region of fluid Consider a fixed, non-deforming volume of fluid, V, called

More information

The Hopf equation. The Hopf equation A toy model of fluid mechanics

The Hopf equation. The Hopf equation A toy model of fluid mechanics The Hopf equation A toy model of fluid mechanics 1. Main physical features Mathematical description of a continuous medium At the microscopic level, a fluid is a collection of interacting particles (Van

More information

CHAPTER 8 ENTROPY GENERATION AND TRANSPORT

CHAPTER 8 ENTROPY GENERATION AND TRANSPORT CHAPTER 8 ENTROPY GENERATION AND TRANSPORT 8.1 CONVECTIVE FORM OF THE GIBBS EQUATION In this chapter we will address two questions. 1) How is Gibbs equation related to the energy conservation equation?

More information

The integrating factor method (Sect. 1.1)

The integrating factor method (Sect. 1.1) The integrating factor method (Sect. 1.1) Overview of differential equations. Linear Ordinary Differential Equations. The integrating factor method. Constant coefficients. The Initial Value Problem. Overview

More information

Fluid Dynamics. Part 2. Massimo Ricotti. University of Maryland. Fluid Dynamics p.1/17

Fluid Dynamics. Part 2. Massimo Ricotti. University of Maryland. Fluid Dynamics p.1/17 Fluid Dynamics p.1/17 Fluid Dynamics Part 2 Massimo Ricotti ricotti@astro.umd.edu University of Maryland Fluid Dynamics p.2/17 Schemes Based on Flux-conservative Form By their very nature, the fluid equations

More information

Maxwell s Equations and Electromagnetic Waves W13D2

Maxwell s Equations and Electromagnetic Waves W13D2 Maxwell s Equations and Electromagnetic Waves W13D2 1 Announcements Week 13 Prepset due online Friday 8:30 am Sunday Tutoring 1-5 pm in 26-152 PS 10 due Week 14 Friday at 9 pm in boxes outside 26-152 2

More information

Chapter 4: Fluid Kinematics

Chapter 4: Fluid Kinematics Overview Fluid kinematics deals with the motion of fluids without considering the forces and moments which create the motion. Items discussed in this Chapter. Material derivative and its relationship to

More information

2.20 Fall 2018 Math Review

2.20 Fall 2018 Math Review 2.20 Fall 2018 Math Review September 10, 2018 These notes are to help you through the math used in this class. This is just a refresher, so if you never learned one of these topics you should look more

More information

A perfect fluid and acoustic waves

A perfect fluid and acoustic waves Chapter 5 A perfect fluid and acoustic waves 5.1 A perfect fluid (inviscid and compresible) 5.1.1 Equations Note that here we neglect rotation. The conservation of mass and momentum equations for an inviscid

More information

Notes: Outline. Diffusive flux. Notes: Notes: Advection-diffusion

Notes: Outline. Diffusive flux. Notes: Notes: Advection-diffusion Outline This lecture Diffusion and advection-diffusion Riemann problem for advection Diagonalization of hyperbolic system, reduction to advection equations Characteristics and Riemann problem for acoustics

More information

From the last time, we ended with an expression for the energy equation. u = ρg u + (τ u) q (9.1)

From the last time, we ended with an expression for the energy equation. u = ρg u + (τ u) q (9.1) Lecture 9 9. Administration None. 9. Continuation of energy equation From the last time, we ended with an expression for the energy equation ρ D (e + ) u = ρg u + (τ u) q (9.) Where ρg u changes in potential

More information

Soft Bodies. Good approximation for hard ones. approximation breaks when objects break, or deform. Generalization: soft (deformable) bodies

Soft Bodies. Good approximation for hard ones. approximation breaks when objects break, or deform. Generalization: soft (deformable) bodies Soft-Body Physics Soft Bodies Realistic objects are not purely rigid. Good approximation for hard ones. approximation breaks when objects break, or deform. Generalization: soft (deformable) bodies Deformed

More information

1 Introduction to PDE MATH 22C. 1. Introduction To Partial Differential Equations Recall: A function f is an input-output machine for numbers:

1 Introduction to PDE MATH 22C. 1. Introduction To Partial Differential Equations Recall: A function f is an input-output machine for numbers: 1 Introduction to PDE MATH 22C 1. Introduction To Partial Differential Equations Recall: A function f is an input-output machine for numbers: y = f(t) Output y 2R Input t 2R Name of function f t=independent

More information

Conservation Laws and Finite Volume Methods

Conservation Laws and Finite Volume Methods Conservation Laws and Finite Volume Methods AMath 574 Winter Quarter, 2011 Randall J. LeVeque Applied Mathematics University of Washington January 3, 2011 R.J. LeVeque, University of Washington AMath 574,

More information

Sound Waves Sound Waves:

Sound Waves Sound Waves: 3//18 Sound Waves Sound Waves: 1 3//18 Sound Waves Linear Waves compression rarefaction Inference of Sound Wave equation: Sound Waves We look at small disturbances in a compressible medium (note: compressible

More information

( ) Notes. Fluid mechanics. Inviscid Euler model. Lagrangian viewpoint. " = " x,t,#, #

( ) Notes. Fluid mechanics. Inviscid Euler model. Lagrangian viewpoint.  =  x,t,#, # Notes Assignment 4 due today (when I check email tomorrow morning) Don t be afraid to make assumptions, approximate quantities, In particular, method for computing time step bound (look at max eigenvalue

More information

d v 2 v = d v d t i n where "in" and "rot" denote the inertial (absolute) and rotating frames. Equation of motion F =

d v 2 v = d v d t i n where in and rot denote the inertial (absolute) and rotating frames. Equation of motion F = Governing equations of fluid dynamics under the influence of Earth rotation (Navier-Stokes Equations in rotating frame) Recap: From kinematic consideration, d v i n d t i n = d v rot d t r o t 2 v rot

More information

Computing High Frequency Waves By the Level Set Method

Computing High Frequency Waves By the Level Set Method Computing High Frequency Waves By the Level Set Method Hailiang Liu Department of Mathematics Iowa State University Collaborators: Li-Tien Cheng (UCSD), Stanley Osher (UCLA) Shi Jin (UW-Madison), Richard

More information

Notes: Outline. Shock formation. Notes: Notes: Shocks in traffic flow

Notes: Outline. Shock formation. Notes: Notes: Shocks in traffic flow Outline Scalar nonlinear conservation laws Traffic flow Shocks and rarefaction waves Burgers equation Rankine-Hugoniot conditions Importance of conservation form Weak solutions Reading: Chapter, 2 R.J.

More information

Various lecture notes for

Various lecture notes for Various lecture notes for 18311. R. R. Rosales (MIT, Math. Dept., 2-337) April 12, 2013 Abstract Notes, both complete and/or incomplete, for MIT s 18.311 (Principles of Applied Mathematics). These notes

More information

Fundamentals of Fluid Dynamics: Ideal Flow Theory & Basic Aerodynamics

Fundamentals of Fluid Dynamics: Ideal Flow Theory & Basic Aerodynamics Fundamentals of Fluid Dynamics: Ideal Flow Theory & Basic Aerodynamics Introductory Course on Multiphysics Modelling TOMASZ G. ZIELIŃSKI (after: D.J. ACHESON s Elementary Fluid Dynamics ) bluebox.ippt.pan.pl/

More information

Announcements. 1. Do not bring the yellow equation sheets to the miderm. Idential sheets will be attached to the problems.

Announcements. 1. Do not bring the yellow equation sheets to the miderm. Idential sheets will be attached to the problems. Announcements 1. Do not bring the yellow equation sheets to the miderm. Idential sheets will be attached to the problems. 2. Some PRS transmitters are missing. Please, bring them back! 1 Kinematics Displacement

More information

Nonlinear Single-Particle Dynamics in High Energy Accelerators

Nonlinear Single-Particle Dynamics in High Energy Accelerators Nonlinear Single-Particle Dynamics in High Energy Accelerators Part 2: Basic tools and concepts Nonlinear Single-Particle Dynamics in High Energy Accelerators This course consists of eight lectures: 1.

More information

Topic 2-2: Derivatives of Vector Functions. Textbook: Section 13.2, 13.4

Topic 2-2: Derivatives of Vector Functions. Textbook: Section 13.2, 13.4 Topic 2-2: Derivatives of Vector Functions Textbook: Section 13.2, 13.4 Warm-Up: Parametrization of Circles Each of the following vector functions describe the position of an object traveling around the

More information

Game Physics. Game and Media Technology Master Program - Utrecht University. Dr. Nicolas Pronost

Game Physics. Game and Media Technology Master Program - Utrecht University. Dr. Nicolas Pronost Game and Media Technology Master Program - Utrecht University Dr. Nicolas Pronost Soft body physics Soft bodies In reality, objects are not purely rigid for some it is a good approximation but if you hit

More information

Chapter 6: Vector Analysis

Chapter 6: Vector Analysis Chapter 6: Vector Analysis We use derivatives and various products of vectors in all areas of physics. For example, Newton s 2nd law is F = m d2 r. In electricity dt 2 and magnetism, we need surface and

More information

Structure formation. Yvonne Y. Y. Wong Max-Planck-Institut für Physik, München

Structure formation. Yvonne Y. Y. Wong Max-Planck-Institut für Physik, München Structure formation Yvonne Y. Y. Wong Max-Planck-Institut für Physik, München Structure formation... Random density fluctuations, grow via gravitational instability galaxies, clusters, etc. Initial perturbations

More information

Astrophysical Fluid Dynamics (2)

Astrophysical Fluid Dynamics (2) Astrophysical Fluid Dynamics (2) (Draine Chap 35;;Clarke & Carswell Chaps 1-4) Last class: fluid dynamics equations apply in astrophysical situations fluid approximation holds Maxwellian velocity distribution

More information

Kinetic Energy and Work

Kinetic Energy and Work Kinetic Energy and Work 8.01 W06D1 Today s Readings: Chapter 13 The Concept of Energy and Conservation of Energy, Sections 13.1-13.8 Announcements Problem Set 4 due Week 6 Tuesday at 9 pm in box outside

More information

Math Review Night: Work and the Dot Product

Math Review Night: Work and the Dot Product Math Review Night: Work and the Dot Product Dot Product A scalar quantity Magnitude: A B = A B cosθ The dot product can be positive, zero, or negative Two types of projections: the dot product is the parallel

More information

Quick Recapitulation of Fluid Mechanics

Quick Recapitulation of Fluid Mechanics Quick Recapitulation of Fluid Mechanics Amey Joshi 07-Feb-018 1 Equations of ideal fluids onsider a volume element of a fluid of density ρ. If there are no sources or sinks in, the mass in it will change

More information

V (r,t) = i ˆ u( x, y,z,t) + ˆ j v( x, y,z,t) + k ˆ w( x, y, z,t)

V (r,t) = i ˆ u( x, y,z,t) + ˆ j v( x, y,z,t) + k ˆ w( x, y, z,t) IV. DIFFERENTIAL RELATIONS FOR A FLUID PARTICLE This chapter presents the development and application of the basic differential equations of fluid motion. Simplifications in the general equations and common

More information

Conservation and dissipation principles for PDEs

Conservation and dissipation principles for PDEs Conservation and dissipation principles for PDEs Modeling through conservation laws The notion of conservation - of number, energy, mass, momentum - is a fundamental principle that can be used to derive

More information

Fundamentals of Fluid Dynamics: Waves in Fluids

Fundamentals of Fluid Dynamics: Waves in Fluids Fundamentals of Fluid Dynamics: Waves in Fluids Introductory Course on Multiphysics Modelling TOMASZ G. ZIELIŃSKI (after: D.J. ACHESON s Elementary Fluid Dynamics ) bluebox.ippt.pan.pl/ tzielins/ Institute

More information

MATH 280 Multivariate Calculus Fall Integrating a vector field over a surface

MATH 280 Multivariate Calculus Fall Integrating a vector field over a surface MATH 280 Multivariate Calculus Fall 2011 Definition Integrating a vector field over a surface We are given a vector field F in space and an oriented surface in the domain of F as shown in the figure below

More information

Divergence Theorem December 2013

Divergence Theorem December 2013 Divergence Theorem 17.3 11 December 2013 Fundamental Theorem, Four Ways. b F (x) dx = F (b) F (a) a [a, b] F (x) on boundary of If C path from P to Q, ( φ) ds = φ(q) φ(p) C φ on boundary of C Green s Theorem:

More information

CHAPTER 9. Microscopic Approach: from Boltzmann to Navier-Stokes. In the previous chapter we derived the closed Boltzmann equation:

CHAPTER 9. Microscopic Approach: from Boltzmann to Navier-Stokes. In the previous chapter we derived the closed Boltzmann equation: CHAPTER 9 Microscopic Approach: from Boltzmann to Navier-Stokes In the previous chapter we derived the closed Boltzmann equation: df dt = f +{f,h} = I[f] where I[f] is the collision integral, and we have

More information

SW103: Lecture 2. Magnetohydrodynamics and MHD models

SW103: Lecture 2. Magnetohydrodynamics and MHD models SW103: Lecture 2 Magnetohydrodynamics and MHD models Scale sizes in the Solar Terrestrial System: or why we use MagnetoHydroDynamics Sun-Earth distance = 1 Astronomical Unit (AU) 200 R Sun 20,000 R E 1

More information

Chapter 1. Introduction to Nonlinear Space Plasma Physics

Chapter 1. Introduction to Nonlinear Space Plasma Physics Chapter 1. Introduction to Nonlinear Space Plasma Physics The goal of this course, Nonlinear Space Plasma Physics, is to explore the formation, evolution, propagation, and characteristics of the large

More information

Convection Heat Transfer

Convection Heat Transfer Convection Heat Transfer Department of Chemical Eng., Isfahan University of Technology, Isfahan, Iran Seyed Gholamreza Etemad Winter 2013 Heat convection: Introduction Difference between the temperature

More information

Two dimensional oscillator and central forces

Two dimensional oscillator and central forces Two dimensional oscillator and central forces September 4, 04 Hooke s law in two dimensions Consider a radial Hooke s law force in -dimensions, F = kr where the force is along the radial unit vector and

More information

FROM NEWTON S MECHANICS TO EULER S EQUATIONS

FROM NEWTON S MECHANICS TO EULER S EQUATIONS 1 EE250 FROM NEWTON S MECHANICS TO EULER S EQUATIONS How the equation of fluid dynamics were born 250 years ago Olivier Darrigol and Uriel Frisch CNRS : Rehseis, Paris, France Laboratoire Cassiopée, UNSA,

More information

An Overview of Fluid Animation. Christopher Batty March 11, 2014

An Overview of Fluid Animation. Christopher Batty March 11, 2014 An Overview of Fluid Animation Christopher Batty March 11, 2014 What distinguishes fluids? What distinguishes fluids? No preferred shape. Always flows when force is applied. Deforms to fit its container.

More information

Divergence Theorem Fundamental Theorem, Four Ways. 3D Fundamental Theorem. Divergence Theorem

Divergence Theorem Fundamental Theorem, Four Ways. 3D Fundamental Theorem. Divergence Theorem Divergence Theorem 17.3 11 December 213 Fundamental Theorem, Four Ways. b F (x) dx = F (b) F (a) a [a, b] F (x) on boundary of If C path from P to Q, ( φ) ds = φ(q) φ(p) C φ on boundary of C Green s Theorem:

More information

1. Consider the initial value problem: find y(t) such that. y = y 2 t, y(0) = 1.

1. Consider the initial value problem: find y(t) such that. y = y 2 t, y(0) = 1. Engineering Mathematics CHEN30101 solutions to sheet 3 1. Consider the initial value problem: find y(t) such that y = y 2 t, y(0) = 1. Take a step size h = 0.1 and verify that the forward Euler approximation

More information

Vector Calculus handout

Vector Calculus handout Vector Calculus handout The Fundamental Theorem of Line Integrals Theorem 1 (The Fundamental Theorem of Line Integrals). Let C be a smooth curve given by a vector function r(t), where a t b, and let f

More information

Computational Astrophysics

Computational Astrophysics 16 th Chris Engelbrecht Summer School, January 2005 3: 1 Computational Astrophysics Lecture 3: Magnetic fields Paul Ricker University of Illinois at Urbana-Champaign National Center for Supercomputing

More information

Fluid Animation. Christopher Batty November 17, 2011

Fluid Animation. Christopher Batty November 17, 2011 Fluid Animation Christopher Batty November 17, 2011 What distinguishes fluids? What distinguishes fluids? No preferred shape Always flows when force is applied Deforms to fit its container Internal forces

More information

Conservation Laws and Finite Volume Methods

Conservation Laws and Finite Volume Methods Conservation Laws and Finite Volume Methods AMath 574 Winter Quarter, 2017 Randall J. LeVeque Applied Mathematics University of Washington January 4, 2017 http://faculty.washington.edu/rjl/classes/am574w2017

More information

Electric and Magnetic Forces in Lagrangian and Hamiltonian Formalism

Electric and Magnetic Forces in Lagrangian and Hamiltonian Formalism Electric and Magnetic Forces in Lagrangian and Hamiltonian Formalism Benjamin Hornberger 1/26/1 Phy 55, Classical Electrodynamics, Prof. Goldhaber Lecture notes from Oct. 26, 21 Lecture held by Prof. Weisberger

More information

Recapitulation: Questions on Chaps. 1 and 2 #A

Recapitulation: Questions on Chaps. 1 and 2 #A Recapitulation: Questions on Chaps. 1 and 2 #A Chapter 1. Introduction What is the importance of plasma physics? How are plasmas confined in the laboratory and in nature? Why are plasmas important in astrophysics?

More information

Webster s horn model on Bernoulli flow

Webster s horn model on Bernoulli flow Webster s horn model on Bernoulli flow Aalto University, Dept. Mathematics and Systems Analysis January 5th, 2018 Incompressible, steady Bernoulli principle Consider a straight tube Ω R 3 havin circular

More information

Numerical methods for the Navier- Stokes equations

Numerical methods for the Navier- Stokes equations Numerical methods for the Navier- Stokes equations Hans Petter Langtangen 1,2 1 Center for Biomedical Computing, Simula Research Laboratory 2 Department of Informatics, University of Oslo Dec 6, 2012 Note:

More information

Section 2: Lecture 1 Integral Form of the Conservation Equations for Compressible Flow

Section 2: Lecture 1 Integral Form of the Conservation Equations for Compressible Flow Section 2: Lecture 1 Integral Form of the Conservation Equations for Compressible Flow Anderson: Chapter 2 pp. 41-54 1 Equation of State: Section 1 Review p = R g T " > R g = R u M w - R u = 8314.4126

More information

Alexei F. Cheviakov. University of Saskatchewan, Saskatoon, Canada. INPL seminar June 09, 2011

Alexei F. Cheviakov. University of Saskatchewan, Saskatoon, Canada. INPL seminar June 09, 2011 Direct Method of Construction of Conservation Laws for Nonlinear Differential Equations, its Relation with Noether s Theorem, Applications, and Symbolic Software Alexei F. Cheviakov University of Saskatchewan,

More information

Fluid Dynamics. Massimo Ricotti. University of Maryland. Fluid Dynamics p.1/14

Fluid Dynamics. Massimo Ricotti. University of Maryland. Fluid Dynamics p.1/14 Fluid Dynamics p.1/14 Fluid Dynamics Massimo Ricotti ricotti@astro.umd.edu University of Maryland Fluid Dynamics p.2/14 The equations of fluid dynamics are coupled PDEs that form an IVP (hyperbolic). Use

More information

Topics in Fluid Dynamics: Classical physics and recent mathematics

Topics in Fluid Dynamics: Classical physics and recent mathematics Topics in Fluid Dynamics: Classical physics and recent mathematics Toan T. Nguyen 1,2 Penn State University Graduate Student Seminar @ PSU Jan 18th, 2018 1 Homepage: http://math.psu.edu/nguyen 2 Math blog:

More information

Vector Calculus. A primer

Vector Calculus. A primer Vector Calculus A primer Functions of Several Variables A single function of several variables: f: R $ R, f x (, x ),, x $ = y. Partial derivative vector, or gradient, is a vector: f = y,, y x ( x $ Multi-Valued

More information

1/30. Rigid Body Rotations. Dave Frank

1/30. Rigid Body Rotations. Dave Frank . 1/3 Rigid Body Rotations Dave Frank A Point Particle and Fundamental Quantities z 2/3 m v ω r y x Angular Velocity v = dr dt = ω r Kinetic Energy K = 1 2 mv2 Momentum p = mv Rigid Bodies We treat a rigid

More information

Chapter 2: Fluid Dynamics Review

Chapter 2: Fluid Dynamics Review 7 Chapter 2: Fluid Dynamics Review This chapter serves as a short review of basic fluid mechanics. We derive the relevant transport equations (or conservation equations), state Newton s viscosity law leading

More information

A Hamiltonian Numerical Scheme for Large Scale Geophysical Fluid Systems

A Hamiltonian Numerical Scheme for Large Scale Geophysical Fluid Systems A Hamiltonian Numerical Scheme for Large Scale Geophysical Fluid Systems Bob Peeters Joint work with Onno Bokhove & Jason Frank TW, University of Twente, Enschede CWI, Amsterdam PhD-TW colloquium, 9th

More information

examples of equations: what and why intrinsic view, physical origin, probability, geometry

examples of equations: what and why intrinsic view, physical origin, probability, geometry Lecture 1 Introduction examples of equations: what and why intrinsic view, physical origin, probability, geometry Intrinsic/abstract F ( x, Du, D u, D 3 u, = 0 Recall algebraic equations such as linear

More information

Concepts from linear theory Extra Lecture

Concepts from linear theory Extra Lecture Concepts from linear theory Extra Lecture Ship waves from WW II battleships and a toy boat. Kelvin s (1887) method of stationary phase predicts both. Concepts from linear theory A. Linearize the nonlinear

More information

A Very Brief Introduction to Conservation Laws

A Very Brief Introduction to Conservation Laws A Very Brief Introduction to Wen Shen Department of Mathematics, Penn State University Summer REU Tutorial, May 2013 Summer REU Tutorial, May 2013 1 / The derivation of conservation laws A conservation

More information

Chapter Thirteen: Traveling Waves and the Wave Equation in Air, Water and the Ether

Chapter Thirteen: Traveling Waves and the Wave Equation in Air, Water and the Ether Chapter Thirteen: Traveling Waves and the Wave Equation in Air, Water and the Ether We have been discussing the waves that are found in the string of a guitar or violin and how they are the physical reality

More information

Numerical Analysis and Computer Science DN2255 Spring 2009 p. 1(8)

Numerical Analysis and Computer Science DN2255 Spring 2009 p. 1(8) Numerical Analysis and Computer Science DN2255 Spring 2009 p. 1(8) Contents Important concepts, definitions, etc...2 Exact solutions of some differential equations...3 Estimates of solutions to differential

More information

Mathematical Models of Fluids

Mathematical Models of Fluids SOUND WAVES Mathematical Models of Fluids Fluids molecules roam and collide no springs Collisions cause pressure in fluid (Units: Pascal Pa = N/m 2 ) 2 mathematical models for fluid motion: 1) Bulk properties

More information

Non-linear Scalar Equations

Non-linear Scalar Equations Non-linear Scalar Equations Professor Dr. E F Toro Laboratory of Applied Mathematics University of Trento, Italy eleuterio.toro@unitn.it http://www.ing.unitn.it/toro August 24, 2014 1 / 44 Overview Here

More information

[#1] Exercises in exterior calculus operations

[#1] Exercises in exterior calculus operations D. D. Holm M3-4A16 Assessed Problems # 3 Due when class starts 13 Dec 2012 1 M3-4A16 Assessed Problems # 3 Do all four problems [#1] Exercises in exterior calculus operations Vector notation for differential

More information