The Euler equations in fluid mechanics

Size: px
Start display at page:

Download "The Euler equations in fluid mechanics"

Transcription

1 The Euler equations in fluid mechanics Jordan Bell Department of Mathematics, niversity of Toronto April 14, Continuity equation Let Ω be a domain in R n and let C (Ω R); perhaps later we will care about functions that are in larger spaces, and to justify making conclusions about those we will have to check that what we have said here applies to them. Let be a Lipschitz domain in Ω. Thinking of as a density, the amount of stuff in at time t is (x, t)dx. Let q C (Ω R) and F C (Ω R, R n ). We think about q(x, t) as the rate at which new stuff appears at point x at time t, and F as the flux of the stuff. A change in the total amount of stuff in occurs from stuff appearing inside and from stuff going through the boundary of. We formalize this as the statement d dt (x, t)dx = q(x, t)dx F (s, t) N(s)ds, where N(s) is the outward pointing unit normal to the surface at the point s. sing the divergence theorem we get F (s, t) N(s)ds = (div F )(x, t)dx, and hence or, ( t )(x, t) = d dt (x, t)dx = ( t q + div F )(x, t)dx. (q(x, t) (div F )(x, t))dx, Because this is true for any Lipschitz domain in Ω, it follows that the integrand is 0: for all x Ω and t R, we have ( t q + div F )(x, t) = 0, 1

2 i.e. t + div F = q. This is called a continuity equation. If (x, t) denotes the density of stuff at the point x at time t and u denotes the velocity of the stuff at the point x and time t, then the flux F (in other words, the momentum), is F = u. If there is no stuff spontaneously appearing, but rather stuff only moves around, then q = 0, and so t + div (u) = 0. (1) One can describe the statement that stuff is not spontaneously appearing as conservation of mass, and hence (1) can be thought of as a consequence of conservation of mass. Momentum The integral (u)(x, t)dx is the total amount of momentum of the stuff at points in at time t. We postulate that there is a function p C (Ω, R), which we call pressure, such that the rate of change of the total amount of momentum over a set at time t is equal to the flow of momentum from outside to inside the set at time t plus the total amount of inward directed pressure over the boundary of the set at time t, which here means d dt (u)(x, t)dx = (u)(s, t)u(s, t) N(s)ds p(s, t)n(s)ds, where N(s) is the outward pointing unit normal to the surface at s. sing the divergence theorem, d (u)(x, t)dx = div (u u)(x, t) ( p)(x, t)dx. dt Combined with this gives d (u)(x, t)dx = t (u)(x, t)dx, dt ( t (u) + div (u u) + p)(x, t)dx. Because this is true for any Lipschitz domain in Ω, we obtain for all x Ω and t R, or ( t (u) + div (u u) + p)(x, t) = 0 t (u) + div (u u) + p = 0. ()

3 To state that the stuff we are talking about is incompressible means that is constant. For the rest of this note, unless we state otherwise we take to be a nonzero constant, with which equation (1) becomes and () becomes div (u) = 0, (3) t u + div (u u) + 1 p = 0. (4) The two equations (3) and (4) are called the Euler equations for an incompressible fluid. Taking the divergence of (4) yields t div (u) + div (div (u u)) + 1 div ( p) = 0. sing (3) and writing p = div ( p), div (div (u u)) + 1 p = 0. (5) As div (u u) = j (u i u j )e i, we have, using (3), div (div (u u)) = i j (u i u j ) Therefore, using this with (5) we get = i (( j u i )u j + u i j u j ) = i (( j u i )u j + u i div (u)) = i (( j u i )u j ) = ( i j u i )u j + ( j u i ) i u j = ( j (div (u)))u j + ( j u i ) i u j = ( j u i ) i u j. p = ( j u i ) i u j. (6) The use of this equation is to give us more information about the pressure p. Furthermore, with u = u i e i and writing u = ( j u) e j = ( j (u i e i )) e j = j u i e i e j, the contraction of the tensor u with itself is ( u)( u) = ( j u i e i e j )( l u k e k e l ) = ( j u i )( l u k )(e i e j )(e k e l ) = ( j u i )( l u k )δ j,k e i e l = ( j u i )( l u j )e i e l, 3

4 for which With this, equation (6) becomes As Tr (( u)( u)) = ( j u i )( i u j ). p = Tr (( u)( u)). div (u u) = j (u i u j )e i = ( j u i )u j e i + u i j u j e i = ( j u i )u j e i + u i div (u)e i, using (3) we have and hence it follows from (3) that div (u u) = ( j u i )u j e i, div (u u) = u u. (7) This expression for div (u u) may be easier to work with than the original expression. 3 Energy If v = v i e i is a vector field, we write Then, v = ( j v) e j = ( j v i )e i e j. v v = (v k e k ) (( j v i )e i e j ) = v j j v i e i = v j j v. If u (velocity of stuff) and p (pressure of stuff) satisfy (3) and (4), then applying u to both sides of (4) we get First, u ( t u) + u div (u u) + 1 u p = 0. (8) t (u u) = t (u i u i ) = ( t u i )u i + u i ( t u i ) = u i ( t u i ) = u ( t u). Second, so but div (u u) = j (u i u j )e i u div (u u) = u i j (u i u j ) = u i ( j u i )u j + u i u i j u j ; div ((u u)u) = div (u i u i u j e j ) = j (u i u i u j ) = u i ( j u i )u j + u i u i j u j, hence div ((u u)u) = u div (u u) u udiv (u), 4

5 and using (3) this is div ((u u)u) = u div (u u). Third, div (pu) = ( p) u + pdiv (u), and using (3) this is div (pu) = ( p) u. Putting these three results into (8) gives or We define 1 t(u u) + 1 div ((u u)u) + 1 div (pu) = 0, t ( 1 u u ) + div ( ) 1 (u u)u + pu = 0. (9) E = 1 u u. If is thought of as mass density, with units of kg/m 3, and u is thought of as the velocity of stuff, with units of m/s, then E has units of kg m 1 s = J/m 3. We choose to think of E defined this way as energy density; we say choose because although E has the right units to be energy density, any multiple would have the same units, and it is not apparent from what we have said so far why we care about 1 u u rather than some other multiple of u u. Writing equation (9) using E gives t E + div (Eu + pu) = 0, which is thus a statement about the rate of change of energy density. We call E+p the total specific enthalpy of the stuff. To say that a quantity is specific means that it expresses some quantity per kg, and the dimensions of enthalpy are J. 4 Vorticity In this section, unless we say otherwise we take n = 3. For vector fields v, w, (v w) = v w + w v + v curl w + w curl v. sing this identity v = u and w = u gives and therefore (7) can be written as u u = u curl u 1 (u u), div (u u) = 1 (u u) u curl u. (10) 5

6 Taking the curl of (4) yields t curl u + curl div (u u) = 0; we used the fact that the curl of the gradient of any scalar field is 0 and so curl p = 0. sing (10), this becomes ( ) 1 t curl (u) + curl (u u) u curl u = 0, and as the curl of the gradient of a scalar field is 0, this is For vector fields v, w, t curl u = curl (u curl u). curl (v w) = vdiv w wdiv v + ( v)(w) ( w)(v), and with v = u and w = curl u we obtain t curl u = udiv curl u curl (u)div u + ( u)(curl u) ( curl u)(u). Because the divergence of the curl of a vector field is 0 and because div u = 0 by (3), this becomes t curl u = ( u)(curl u) ( curl u)(u). We call ω = curl (u) the vorticity of the stuff, and with this notation the above equation can be written as 5 Material time derivative t ω = ( u)(ω) ( ω)(u). (11) One often deals with expressions like t ω + u ω, and we write D Dt = t + u, D and call Dt the material time derivative; it depends on the velocity u of the stuff. With this notation, the equation (11) is Dω Dt = ω u. sing (7) (which itself supposes (3)), we can write (4) using the material time derivative as Du + p = 0. Dt 6

7 6 Irrotational velocity fields In this section unless we say otherwise we take n = 3 and we suppose that curl u = 0, which we describe as u being irrotational. We suppose also in this section that Ω is simply connected, which together with curl u = 0 implies that there is some φ C (Ω R) for which u(x, t) = ( φ)(x, t) for all x Ω and for all t R; cf. the Helmholtz decomposition of a vector field in R 3. We call φ a potential function for u. Combining (4), (7), and u = φ, we obtain t φ + ( φ) φ + 1 p = 0. (1) We have ( φ) φ = ( i φe i ) ( k φe k ) = ( i φe i ) ( j k φe k e j ) = ( i φ) i k φe k = 1 k(( i φ)( i φ))e k with which (1) becomes = 1 k( φ φ)e k = 1 ( φ φ), t φ + 1 ( φ φ) + 1 p = 0, or ( t φ + 1 φ φ + 1 ) p = 0. Then, defining P to be P = t φ + 1 φ φ + 1 p, we have that P depends only on time. We call P the total pressure, and the statement that the total pressure depends only on time if the velocity u is irrotational is called Bernoulli s principle. Furthermore, combining (3) with u = φ gives φ = 0, i.e., for each t R, x φ(x, t) is a harmonic function on Ω. 7

8 7 Euler equations in one dimension In this section we take n = 1 and do not suppose that the pressure is constant. Since we do not take to be constant, we will use (1), which tells us that and (), which tells us that t + div (u) = 0, t (u) + div (u u) + p = 0. As n = 1 here, we can write these two equations as and t + x (u) = 0 (13) t (u) + x (u ) + x p = 0. (14) We suppose, giving no justification, that there are some constant K and γ for which p = K γ. With this assumption, equation (14) becomes t (u) + x (u ) + γ p x = 0. (15) We write = where 0 is a constant, and we also write u = u 0 + u 1 where u 0 is a constant. With these definitions, the equation (13) becomes i.e. t ( ) + x ( 0 u u u u 1 ) = 0, t x u 1 + u 0 x 1 + x ( 1 u 1 ) = 0. Supposing that the last term is negligible, an approximation to the above equation is t x u 1 + u 0 x 1 = 0. (16) Furthermore, (15) becomes t ( 0 u u u u 1 ) + x ( 0 u u 0 u u u u 0 u u 1) p + γ x ( ) =0. sing that 0 and u 0 are constant and supposing that x ( 1 u 1 ) and x (u 1) are negligible gives us the approximation 0 t u 1 + u 0 t u 0 x u 1 + u p 0 x 1 + γ x

9 1 Expressing 0+ 1 as a geometric series in powers of 1 0 and supposing that the sum of all the nonconstant terms is negligible, and approximating p = K γ as p 0 = K γ 0 gives us the approximation 0 t u 1 + u 0 t u 0 x u 1 + u 0 x 1 + γ p 0 0 x 1 = 0. Combining this equation with (16) multiplied by u 0 yields 0 t u u 0 x u 1 + γ p 0 0 x 1 = 0. We define D t = t + u 0 x, with which we can write the above equation as 0 D t u 1 + γ p 0 0 x 1 = 0, (17) and we can write (16) as Applying D t to (18) gives D t x u 1 = 0. (18) D t x D t u 1 = 0, and then using (17) this becomes ( Dt 1 + x γ p ) 0 x 1 0 or D t 1 γ p 0 0 x 1 = 0, which is a wave equation satisfied by 1. = 0, 9

Basic hydrodynamics. David Gurarie. 1 Newtonian fluids: Euler and Navier-Stokes equations

Basic hydrodynamics. David Gurarie. 1 Newtonian fluids: Euler and Navier-Stokes equations Basic hydrodynamics David Gurarie 1 Newtonian fluids: Euler and Navier-Stokes equations The basic hydrodynamic equations in the Eulerian form consist of conservation of mass, momentum and energy. We denote

More information

Continuum Mechanics Lecture 5 Ideal fluids

Continuum Mechanics Lecture 5 Ideal fluids Continuum Mechanics Lecture 5 Ideal fluids Prof. http://www.itp.uzh.ch/~teyssier Outline - Helmholtz decomposition - Divergence and curl theorem - Kelvin s circulation theorem - The vorticity equation

More information

Vortex stretching in incompressible and compressible fluids

Vortex stretching in incompressible and compressible fluids Vortex stretching in incompressible and compressible fluids Esteban G. Tabak, Fluid Dynamics II, Spring 00 1 Introduction The primitive form of the incompressible Euler equations is given by ( ) du P =

More information

Chapter 5. The Differential Forms of the Fundamental Laws

Chapter 5. The Differential Forms of the Fundamental Laws Chapter 5 The Differential Forms of the Fundamental Laws 1 5.1 Introduction Two primary methods in deriving the differential forms of fundamental laws: Gauss s Theorem: Allows area integrals of the equations

More information

5.1 Fluid momentum equation Hydrostatics Archimedes theorem The vorticity equation... 42

5.1 Fluid momentum equation Hydrostatics Archimedes theorem The vorticity equation... 42 Chapter 5 Euler s equation Contents 5.1 Fluid momentum equation........................ 39 5. Hydrostatics................................ 40 5.3 Archimedes theorem........................... 41 5.4 The

More information

AA210A Fundamentals of Compressible Flow. Chapter 1 - Introduction to fluid flow

AA210A Fundamentals of Compressible Flow. Chapter 1 - Introduction to fluid flow AA210A Fundamentals of Compressible Flow Chapter 1 - Introduction to fluid flow 1 1.2 Conservation of mass Mass flux in the x-direction [ ρu ] = M L 3 L T = M L 2 T Momentum per unit volume Mass per unit

More information

MATH 280 Multivariate Calculus Spring Derivatives of vector fields: divergence and curl

MATH 280 Multivariate Calculus Spring Derivatives of vector fields: divergence and curl MATH 280 Multivariate Calculus Spring 2011 Vector fields in the plane Derivatives of vector fields: divergence and curl Given a planar vector field F P x, y î + Qx, y ĵ, we can consider the partial derivatives.

More information

The Divergence Theorem Stokes Theorem Applications of Vector Calculus. Calculus. Vector Calculus (III)

The Divergence Theorem Stokes Theorem Applications of Vector Calculus. Calculus. Vector Calculus (III) Calculus Vector Calculus (III) Outline 1 The Divergence Theorem 2 Stokes Theorem 3 Applications of Vector Calculus The Divergence Theorem (I) Recall that at the end of section 12.5, we had rewritten Green

More information

Cartesian Tensors. e 2. e 1. General vector (formal definition to follow) denoted by components

Cartesian Tensors. e 2. e 1. General vector (formal definition to follow) denoted by components Cartesian Tensors Reference: Jeffreys Cartesian Tensors 1 Coordinates and Vectors z x 3 e 3 y x 2 e 2 e 1 x x 1 Coordinates x i, i 123,, Unit vectors: e i, i 123,, General vector (formal definition to

More information

Topics in Relativistic Astrophysics

Topics in Relativistic Astrophysics Topics in Relativistic Astrophysics John Friedman ICTP/SAIFR Advanced School in General Relativity Parker Center for Gravitation, Cosmology, and Astrophysics Part I: General relativistic perfect fluids

More information

18.325: Vortex Dynamics

18.325: Vortex Dynamics 8.35: Vortex Dynamics Problem Sheet. Fluid is barotropic which means p = p(. The Euler equation, in presence of a conservative body force, is Du Dt = p χ. This can be written, on use of a vector identity,

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

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

7 EQUATIONS OF MOTION FOR AN INVISCID FLUID

7 EQUATIONS OF MOTION FOR AN INVISCID FLUID 7 EQUATIONS OF MOTION FOR AN INISCID FLUID iscosity is a measure of the thickness of a fluid, and its resistance to shearing motions. Honey is difficult to stir because of its high viscosity, whereas water

More information

0.2. CONSERVATION LAW FOR FLUID 9

0.2. CONSERVATION LAW FOR FLUID 9 0.2. CONSERVATION LAW FOR FLUID 9 Consider x-component of Eq. (26), we have D(ρu) + ρu( v) dv t = ρg x dv t S pi ds, (27) where ρg x is the x-component of the bodily force, and the surface integral is

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

14 Divergence, flux, Laplacian

14 Divergence, flux, Laplacian Tel Aviv University, 204/5 Analysis-III,IV 240 4 Divergence, flux, Laplacian 4a What is the problem................ 240 4b Integral of derivative (again)........... 242 4c Divergence and flux.................

More information

Week 6 Notes, Math 865, Tanveer

Week 6 Notes, Math 865, Tanveer Week 6 Notes, Math 865, Tanveer. Energy Methods for Euler and Navier-Stokes Equation We will consider this week basic energy estimates. These are estimates on the L 2 spatial norms of the solution u(x,

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

Review of fluid dynamics

Review of fluid dynamics Chapter 2 Review of fluid dynamics 2.1 Preliminaries ome basic concepts: A fluid is a substance that deforms continuously under stress. A Material olume is a tagged region that moves with the fluid. Hence

More information

Seminar on Vector Field Analysis on Surfaces

Seminar on Vector Field Analysis on Surfaces Seminar on Vector Field Analysis on Surfaces 236629 1 Last time Intro Cool stuff VFs on 2D Euclidean Domains Arrows on the plane Div, curl and all that Helmholtz decomposition 2 today Arrows on surfaces

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

Striated Regularity of Velocity for the Euler Equations

Striated Regularity of Velocity for the Euler Equations Striated Regularity of Velocity for the Euler Equations JIM KELLIHER 1 with HANTAEK BAE 2 1 University of California Riverside 2 Ulsan National Institute of Science and Technology, Korea 2015 SIAM Conference

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

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

Cartesian Tensors. e 2. e 1. General vector (formal definition to follow) denoted by components

Cartesian Tensors. e 2. e 1. General vector (formal definition to follow) denoted by components Cartesian Tensors Reference: Jeffreys Cartesian Tensors 1 Coordinates and Vectors z x 3 e 3 y x 2 e 2 e 1 x x 1 Coordinates x i, i 123,, Unit vectors: e i, i 123,, General vector (formal definition to

More information

52. The Del Operator: Divergence and Curl

52. The Del Operator: Divergence and Curl 52. The Del Operator: Divergence and Curl Let F(x, y, z) = M(x, y, z), N(x, y, z), P(x, y, z) be a vector field in R 3. The del operator is represented by the symbol, and is written = x, y, z, or = x,

More information

Topic 5.9: Divergence and The Divergence Theorem

Topic 5.9: Divergence and The Divergence Theorem Math 275 Notes (Ultman) Topic 5.9: Divergence and The Divergence Theorem Textbook ection: 16.9 From the Toolbox (what you need from previous classes): Computing partial derivatives. Computing the dot product.

More information

Vorticity Equation Marine Hydrodynamics Lecture 9. Return to viscous incompressible flow. N-S equation: v. Now: v = v + = 0 incompressible

Vorticity Equation Marine Hydrodynamics Lecture 9. Return to viscous incompressible flow. N-S equation: v. Now: v = v + = 0 incompressible 13.01 Marine Hydrodynamics, Fall 004 Lecture 9 Copyright c 004 MIT - Department of Ocean Engineering, All rights reserved. Vorticity Equation 13.01 - Marine Hydrodynamics Lecture 9 Return to viscous incompressible

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

ENGI Gradient, Divergence, Curl Page 5.01

ENGI Gradient, Divergence, Curl Page 5.01 ENGI 94 5. - Gradient, Divergence, Curl Page 5. 5. The Gradient Operator A brief review is provided here for the gradient operator in both Cartesian and orthogonal non-cartesian coordinate systems. Sections

More information

Manifolds in Fluid Dynamics

Manifolds in Fluid Dynamics Manifolds in Fluid Dynamics Justin Ryan 25 April 2011 1 Preliminary Remarks In studying fluid dynamics it is useful to employ two different perspectives of a fluid flowing through a domain D. The Eulerian

More information

Review of Vector Analysis in Cartesian Coordinates

Review of Vector Analysis in Cartesian Coordinates Review of Vector Analysis in Cartesian Coordinates 1 Scalar: A quantity that has magnitude, but no direction. Examples are mass, temperature, pressure, time, distance, and real numbers. Scalars are usually

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

Line Integrals (4A) Line Integral Path Independence. Young Won Lim 11/2/12

Line Integrals (4A) Line Integral Path Independence. Young Won Lim 11/2/12 Line Integrals (4A Line Integral Path Independence Copyright (c 2012 Young W. Lim. Permission is granted to copy, distriute and/or modify this document under the terms of the GNU Free Documentation License,

More information

Euler Equations: local existence

Euler Equations: local existence Euler Equations: local existence Mat 529, Lesson 2. 1 Active scalars formulation We start with a lemma. Lemma 1. Assume that w is a magnetization variable, i.e. t w + u w + ( u) w = 0. If u = Pw then u

More information

Line Integrals (4A) Line Integral Path Independence. Young Won Lim 10/22/12

Line Integrals (4A) Line Integral Path Independence. Young Won Lim 10/22/12 Line Integrals (4A Line Integral Path Independence Copyright (c 2012 Young W. Lim. Permission is granted to copy, distribute and/or modify this document under the terms of the GNU Free Documentation License,

More information

Fundamentals of Fluid Dynamics: Elementary Viscous Flow

Fundamentals of Fluid Dynamics: Elementary Viscous Flow Fundamentals of Fluid Dynamics: Elementary Viscous Flow Introductory Course on Multiphysics Modelling TOMASZ G. ZIELIŃSKI bluebox.ippt.pan.pl/ tzielins/ Institute of Fundamental Technological Research

More information

Week 8 lectures. ρ t +u ρ+ρ u = 0. where µ and λ are viscosity and second viscosity coefficients, respectively and S is the strain tensor:

Week 8 lectures. ρ t +u ρ+ρ u = 0. where µ and λ are viscosity and second viscosity coefficients, respectively and S is the strain tensor: Week 8 lectures. Equations for motion of fluid without incomressible assumtions Recall from week notes, the equations for conservation of mass and momentum, derived generally without any incomressibility

More information

fluid mechanics as a prominent discipline of application for numerical

fluid mechanics as a prominent discipline of application for numerical 1. fluid mechanics as a prominent discipline of application for numerical simulations: experimental fluid mechanics: wind tunnel studies, laser Doppler anemometry, hot wire techniques,... theoretical fluid

More information

i.e. the conservation of mass, the conservation of linear momentum, the conservation of energy.

i.e. the conservation of mass, the conservation of linear momentum, the conservation of energy. 04/04/2017 LECTURE 33 Geometric Interpretation of Stream Function: In the last class, you came to know about the different types of boundary conditions that needs to be applied to solve the governing equations

More information

1.1. Fields Partial derivatives

1.1. Fields Partial derivatives 1.1. Fields A field associates a physical quantity with a position A field can be also time dependent, for example. The simplest case is a scalar field, where given physical quantity can be described by

More information

MATH 332: Vector Analysis Summer 2005 Homework

MATH 332: Vector Analysis Summer 2005 Homework MATH 332, (Vector Analysis), Summer 2005: Homework 1 Instructor: Ivan Avramidi MATH 332: Vector Analysis Summer 2005 Homework Set 1. (Scalar Product, Equation of a Plane, Vector Product) Sections: 1.9,

More information

Math 234 Exam 3 Review Sheet

Math 234 Exam 3 Review Sheet Math 234 Exam 3 Review Sheet Jim Brunner LIST OF TOPIS TO KNOW Vector Fields lairaut s Theorem & onservative Vector Fields url Divergence Area & Volume Integrals Using oordinate Transforms hanging the

More information

Diff. Eq. App.( ) Midterm 1 Solutions

Diff. Eq. App.( ) Midterm 1 Solutions Diff. Eq. App.(110.302) Midterm 1 Solutions Johns Hopkins University February 28, 2011 Problem 1.[3 15 = 45 points] Solve the following differential equations. (Hint: Identify the types of the equations

More information

The vorticity field. A dust devil

The vorticity field. A dust devil The vorticity field The vector ω = u curl u is twice the local angular velocity in the flow, and is called the vorticity of the flow (from Latin for a whirlpool). Vortex lines are everywhere in the direction

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

Ideas from Vector Calculus Kurt Bryan

Ideas from Vector Calculus Kurt Bryan Ideas from Vector Calculus Kurt Bryan Most of the facts I state below are for functions of two or three variables, but with noted exceptions all are true for functions of n variables..1 Tangent Line Approximation

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

III.3 Momentum balance: Euler and Navier Stokes equations

III.3 Momentum balance: Euler and Navier Stokes equations 32 Fundamental equations of non-relativistic fluid dynamics.3 Momentum balance: Euler and Navier tokes equations For a closed system with total linear momentum P ~ with respect to a given reference frame

More information

Chapter 1. Vector Algebra and Vector Space

Chapter 1. Vector Algebra and Vector Space 1. Vector Algebra 1.1. Scalars and vectors Chapter 1. Vector Algebra and Vector Space The simplest kind of physical quantity is one that can be completely specified by its magnitude, a single number, together

More information

February 27, 2019 LECTURE 10: VECTOR FIELDS.

February 27, 2019 LECTURE 10: VECTOR FIELDS. February 27, 209 LECTURE 0: VECTOR FIELDS 02 HONORS MULTIVARIABLE CALCULUS PROFESSOR RICHARD BROWN Synopsis Vector fields, as geometric objects and/or functions, provide a backbone in which all of physics

More information

Conservation Laws: Systematic Construction, Noether s Theorem, Applications, and Symbolic Computations.

Conservation Laws: Systematic Construction, Noether s Theorem, Applications, and Symbolic Computations. Conservation Laws: Systematic Construction, Noether s Theorem, Applications, and Symbolic Computations. Alexey Shevyakov Department of Mathematics and Statistics, University of Saskatchewan, Saskatoon,

More information

Notes. Multi-Dimensional Plasticity. Yielding. Multi-Dimensional Yield criteria. (so rest state includes plastic strain): #=#(!

Notes. Multi-Dimensional Plasticity. Yielding. Multi-Dimensional Yield criteria. (so rest state includes plastic strain): #=#(! Notes Multi-Dimensional Plasticity! I am back, but still catching up! Assignment is due today (or next time I!m in the dept following today)! Final project proposals: I haven!t sorted through my email,

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

3.5 Vorticity Equation

3.5 Vorticity Equation .0 - Marine Hydrodynamics, Spring 005 Lecture 9.0 - Marine Hydrodynamics Lecture 9 Lecture 9 is structured as follows: In paragraph 3.5 we return to the full Navier-Stokes equations (unsteady, viscous

More information

Dr. Allen Back. Dec. 3, 2014

Dr. Allen Back. Dec. 3, 2014 Dr. Allen Back Dec. 3, 2014 forms are sums of wedge products of the basis 1-forms dx, dy, and dz. They are kinds of tensors generalizing ordinary scalar functions and vector fields. They have a skew-symmetry

More information

UNIVERSITY of LIMERICK

UNIVERSITY of LIMERICK UNIVERSITY of LIMERICK OLLSCOIL LUIMNIGH Faculty of Science and Engineering END OF SEMESTER ASSESSMENT PAPER MODULE CODE: MA4607 SEMESTER: Autumn 2012-13 MODULE TITLE: Introduction to Fluids DURATION OF

More information

12.1 Viscous potential flow (VPF)

12.1 Viscous potential flow (VPF) 1 Energy equation for irrotational theories of gas-liquid flow:: viscous potential flow (VPF), viscous potential flow with pressure correction (VCVPF), dissipation method (DM) 1.1 Viscous potential flow

More information

Fluid Mechanics Prof. S. K. Som Department of Mechanical Engineering Indian Institute of Technology, Kharagpur

Fluid Mechanics Prof. S. K. Som Department of Mechanical Engineering Indian Institute of Technology, Kharagpur Fluid Mechanics Prof. S. K. Som Department of Mechanical Engineering Indian Institute of Technology, Kharagpur Lecture - 15 Conservation Equations in Fluid Flow Part III Good afternoon. I welcome you all

More information

CONNECTIONS BETWEEN A CONJECTURE OF SCHIFFER S AND INCOMPRESSIBLE FLUID MECHANICS

CONNECTIONS BETWEEN A CONJECTURE OF SCHIFFER S AND INCOMPRESSIBLE FLUID MECHANICS CONNECTIONS BETWEEN A CONJECTURE OF SCHIFFER S AND INCOMPRESSIBLE FLUID MECHANICS JAMES P. KELLIHER Abstract. We demonstrate connections that exists between a conjecture of Schiffer s (which is equivalent

More information

Before seeing some applications of vector calculus to Physics, we note that vector calculus is easy, because... There s only one Theorem!

Before seeing some applications of vector calculus to Physics, we note that vector calculus is easy, because... There s only one Theorem! 16.10 Summary and Applications Before seeing some applications of vector calculus to Physics, we note that vector calculus is easy, because... There s only one Theorem! Green s, Stokes, and the Divergence

More information

1 Equations of motion

1 Equations of motion Part A Fluid Dynamics & Waves Draft date: 21 January 2014 1 1 1 Equations of motion 1.1 Introduction In this section we will derive the equations of motion for an inviscid fluid, that is a fluid with zero

More information

CHAPTER 7 DIV, GRAD, AND CURL

CHAPTER 7 DIV, GRAD, AND CURL CHAPTER 7 DIV, GRAD, AND CURL 1 The operator and the gradient: Recall that the gradient of a differentiable scalar field ϕ on an open set D in R n is given by the formula: (1 ϕ = ( ϕ, ϕ,, ϕ x 1 x 2 x n

More information

Vector Calculus, Maths II

Vector Calculus, Maths II Section A Vector Calculus, Maths II REVISION (VECTORS) 1. Position vector of a point P(x, y, z) is given as + y and its magnitude by 2. The scalar components of a vector are its direction ratios, and represent

More information

+ f f n x n. + (x)

+ f f n x n. + (x) Math 255 - Vector Calculus II Notes 14.5 Divergence, (Grad) and Curl For a vector field in R n, that is F = f 1, f 2,..., f n, where f i is a function of x 1, x 2,..., x n, the divergence is div(f) = f

More information

Corrections to the First Printing: Chapter 6. This list includes corrections and clarifications through November 6, 1999.

Corrections to the First Printing: Chapter 6. This list includes corrections and clarifications through November 6, 1999. June 2,2 1 Corrections to the First Printing: Chapter 6 This list includes corrections and clarifications through November 6, 1999. We should have mentioned that our treatment of differential forms, especially

More information

On the p-laplacian and p-fluids

On the p-laplacian and p-fluids LMU Munich, Germany Lars Diening On the p-laplacian and p-fluids Lars Diening On the p-laplacian and p-fluids 1/50 p-laplacian Part I p-laplace and basic properties Lars Diening On the p-laplacian and

More information

For the magnetic field B called magnetic induction (unfortunately) M called magnetization is the induced field H called magnetic field H =

For the magnetic field B called magnetic induction (unfortunately) M called magnetization is the induced field H called magnetic field H = To review, in our original presentation of Maxwell s equations, ρ all J all represented all charges, both free bound. Upon separating them, free from bound, we have (dropping quadripole terms): For the

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

Divergence Theorem and Its Application in Characterizing

Divergence Theorem and Its Application in Characterizing Divergence Theorem and Its Application in Characterizing Fluid Flow Let v be the velocity of flow of a fluid element and ρ(x, y, z, t) be the mass density of fluid at a point (x, y, z) at time t. Thus,

More information

Chapter 0. Preliminaries. 0.1 Things you should already know

Chapter 0. Preliminaries. 0.1 Things you should already know Chapter 0 Preliminaries These notes cover the course MATH45061 (Continuum Mechanics) and are intended to supplement the lectures. The course does not follow any particular text, so you do not need to buy

More information

MAE 3130: Fluid Mechanics Lecture 7: Differential Analysis/Part 1 Spring Dr. Jason Roney Mechanical and Aerospace Engineering

MAE 3130: Fluid Mechanics Lecture 7: Differential Analysis/Part 1 Spring Dr. Jason Roney Mechanical and Aerospace Engineering MAE 3130: Fluid Mechanics Lecture 7: Differential Analysis/Part 1 Spring 2003 Dr. Jason Roney Mechanical and Aerospace Engineering Outline Introduction Kinematics Review Conservation of Mass Stream Function

More information

On Fluid Maxwell Equations

On Fluid Maxwell Equations On Fluid Maxwell Equations Tsutomu Kambe, (Former Professor, Physics), University of Tokyo, Abstract Fluid mechanics is a field theory of Newtonian mechanics of Galilean symmetry, concerned with fluid

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

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

CHANGE OF BASIS AND ALL OF THAT

CHANGE OF BASIS AND ALL OF THAT CHANGE OF BASIS AND ALL OF THAT LANCE D DRAGER Introduction The goal of these notes is to provide an apparatus for dealing with change of basis in vector spaces, matrices of linear transformations, and

More information

Week 2 Notes, Math 865, Tanveer

Week 2 Notes, Math 865, Tanveer Week 2 Notes, Math 865, Tanveer 1. Incompressible constant density equations in different forms Recall we derived the Navier-Stokes equation for incompressible constant density, i.e. homogeneous flows:

More information

Relation of the covariant and Lie derivatives and its application to Hydrodynamics

Relation of the covariant and Lie derivatives and its application to Hydrodynamics Relation of the covariant and Lie derivatives and its application to Hydrodynamics Yang Cao TU Darmstadt March 12, 2010 The Euler hydrodynamic equation on manifolds Let M denote a compact oriented Riemannian

More information

[#1] R 3 bracket for the spherical pendulum

[#1] R 3 bracket for the spherical pendulum .. Holm Tuesday 11 January 2011 Solutions to MSc Enhanced Coursework for MA16 1 M3/4A16 MSc Enhanced Coursework arryl Holm Solutions Tuesday 11 January 2011 [#1] R 3 bracket for the spherical pendulum

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] 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

MATH The Chain Rule Fall 2016 A vector function of a vector variable is a function F: R n R m. In practice, if x 1, x n is the input,

MATH The Chain Rule Fall 2016 A vector function of a vector variable is a function F: R n R m. In practice, if x 1, x n is the input, MATH 20550 The Chain Rule Fall 2016 A vector function of a vector variable is a function F: R n R m. In practice, if x 1, x n is the input, F(x 1,, x n ) F 1 (x 1,, x n ),, F m (x 1,, x n ) where each

More information

Modeling using conservation laws. Let u(x, t) = density (heat, momentum, probability,...) so that. u dx = amount in region R Ω. R

Modeling using conservation laws. Let u(x, t) = density (heat, momentum, probability,...) so that. u dx = amount in region R Ω. R Modeling using conservation laws Let u(x, t) = density (heat, momentum, probability,...) so that u dx = amount in region R Ω. R Modeling using conservation laws Let u(x, t) = density (heat, momentum, probability,...)

More information

A Simple Turbulence Closure Model

A Simple Turbulence Closure Model A Simple Turbulence Closure Model Atmospheric Sciences 6150 1 Cartesian Tensor Notation Reynolds decomposition of velocity: Mean velocity: Turbulent velocity: Gradient operator: Advection operator: V =

More information

A Simple Turbulence Closure Model. Atmospheric Sciences 6150

A Simple Turbulence Closure Model. Atmospheric Sciences 6150 A Simple Turbulence Closure Model Atmospheric Sciences 6150 1 Cartesian Tensor Notation Reynolds decomposition of velocity: V = V + v V = U i + u i Mean velocity: V = Ui + V j + W k =(U, V, W ) U i =(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

4 Divergence theorem and its consequences

4 Divergence theorem and its consequences Tel Aviv University, 205/6 Analysis-IV 65 4 Divergence theorem and its consequences 4a Divergence and flux................. 65 4b Piecewise smooth case............... 67 4c Divergence of gradient: Laplacian........

More information

Lecture Notes Introduction to Vector Analysis MATH 332

Lecture Notes Introduction to Vector Analysis MATH 332 Lecture Notes Introduction to Vector Analysis MATH 332 Instructor: Ivan Avramidi Textbook: H. F. Davis and A. D. Snider, (WCB Publishers, 1995) New Mexico Institute of Mining and Technology Socorro, NM

More information

THE L 2 -HODGE THEORY AND REPRESENTATION ON R n

THE L 2 -HODGE THEORY AND REPRESENTATION ON R n THE L 2 -HODGE THEORY AND REPRESENTATION ON R n BAISHENG YAN Abstract. We present an elementary L 2 -Hodge theory on whole R n based on the minimization principle of the calculus of variations and some

More information

AE301 Aerodynamics I UNIT B: Theory of Aerodynamics

AE301 Aerodynamics I UNIT B: Theory of Aerodynamics AE301 Aerodynamics I UNIT B: Theory of Aerodynamics ROAD MAP... B-1: Mathematics for Aerodynamics B-: Flow Field Representations B-3: Potential Flow Analysis B-4: Applications of Potential Flow Analysis

More information

Several forms of the equations of motion

Several forms of the equations of motion Chapter 6 Several forms of the equations of motion 6.1 The Navier-Stokes equations Under the assumption of a Newtonian stress-rate-of-strain constitutive equation and a linear, thermally conductive medium,

More information

F S (2) (3) D 2. 1 Stefan Sint, see also

F S (2) (3) D 2. 1 Stefan Sint, see also Note I.6 1 These are Conor Houghton s notes from 6 to whom many thanks! I have just edited a few minor things and corrected some typos. The pictures are in separate files and have also been drawn by Conor.

More information

Maxwell's Equations and Conservation Laws

Maxwell's Equations and Conservation Laws Maxwell's Equations and Conservation Laws 1 Reading: Jackson 6.1 through 6.4, 6.7 Ampère's Law, since identically. Although for magnetostatics, generally Maxwell suggested: Use Gauss's Law to rewrite continuity

More information

Vector Analysis. Electromagnetic Theory PHYS 401. Fall 2017

Vector Analysis. Electromagnetic Theory PHYS 401. Fall 2017 Vector Analysis Electromagnetic Theory PHYS 401 Fall 2017 1 Vector Analysis Vector analysis is a mathematical formalism with which EM concepts are most conveniently expressed and best comprehended. Many

More information

McGill University April 16, Advanced Calculus for Engineers

McGill University April 16, Advanced Calculus for Engineers McGill University April 16, 2014 Faculty of cience Final examination Advanced Calculus for Engineers Math 264 April 16, 2014 Time: 6PM-9PM Examiner: Prof. R. Choksi Associate Examiner: Prof. A. Hundemer

More information

Candidates must show on each answer book the type of calculator used. Log Tables, Statistical Tables and Graph Paper are available on request.

Candidates must show on each answer book the type of calculator used. Log Tables, Statistical Tables and Graph Paper are available on request. UNIVERSITY OF EAST ANGLIA School of Mathematics Spring Semester Examination 2004 FLUID DYNAMICS Time allowed: 3 hours Attempt Question 1 and FOUR other questions. Candidates must show on each answer book

More information

4.3 Momentum Balance Principles

4.3 Momentum Balance Principles 4.3 Momentum Balance Principles 4.3.1 Balance of linear angular momentum in spatial material description Consider a continuum body B with a set of particles occupying an arbitrary region Ω with boundary

More information

Chapter 1. Governing Equations of GFD. 1.1 Mass continuity

Chapter 1. Governing Equations of GFD. 1.1 Mass continuity Chapter 1 Governing Equations of GFD The fluid dynamical governing equations consist of an equation for mass continuity, one for the momentum budget, and one or more additional equations to account for

More information

10.4 Comparison Tests

10.4 Comparison Tests 0.4 Comparison Tests The Statement Theorem Let a n be a series with no negative terms. (a) a n converges if there is a convergent series c n with a n c n n > N, N Z (b) a n diverges if there is a divergent

More information