Hyperbolic Moment Equations Using Quadrature-Based Projection Methods
|
|
- Berniece Johnson
- 5 years ago
- Views:
Transcription
1 Hyperbolic Moment Equations Using Quarature-Base Projection Methos J. Koellermeier an M. Torrilhon Department of Mathematics, RWTH Aachen University, Aachen, Germany Abstract. Kinetic equations like the Boltzmann equation are the basis for various applications involving rarefie gases. An important problem of many approaches since the first evelopments by Gra is the esire global hyperbolicity of the emerging set of partial ifferential equations. Due to lack of hyperbolicity of Gra s moel equations, numerical computations can break own or yiel nonphysical solutions. New hyperbolic PDE systems for the solution of the Boltzmann equation can be erive using quarature-base projection methos.the metho is base on a non-linear transformation of the velocity to obtain a Lagrangian velocity phase space escription in orer to allow for physical aaptivity, followe by a series expansion of the unknown istribution function in ifferent basis functions an the application of quarature-base projection methos.in this paper, we exten the proof for global hyperbolicity of the quarature-base moment system system to arbitrary imensions, utilizing quarature-base projection methos for tensor prouct Hermite basis functions. The analytical computation of the eigenvalues shows the propose corresponence to the Hermite quarature points. Keywors: kinetic equation, hyperbolicity, quarature PACS: Jr, D INTRODUCTION The solution of kinetic equations like the Boltzmann Equations requires an efficient an yet robust iscretization of the velocity space to allow for both physical aaptivity an stability of the numerical metho. The stanar metho to iscretize the resulting equation in velocity space has been evelope by Gra in [] an relies on the expansion of the istribution function in Hermite polynomials. The rawback of this metho is that the resulting PDE system can loose hyperbolicity for certain values of higher moments, see e.g. [2]. In these cases, numerical methos can become unstable because the problem is ill-pose. Existing hyperbolic moels are for example given in [3] where multi-variate Pearson-IV-Distributions are use as an ansatz or in [4] where a maximum entropy approach ensures the hyperbolicity. Another metho by Cai et al. relies on a truncation of the expansion at certain steps of the erivation an has been successfully applie to ifferent problems see [5]. This work has recently been supplemente with a soli theoretical basis in [6], where the proceure is generalize. The novel quarature-base projection methos have been first introuce in [7]. This approach computes the integrals uring the projection by Gaussian quarature which moifies the emerging system an guarantees hyperbolicity for a wie range of cases, provie some simple conitions are fulfille. Up to now there is only a proof of hyperbolicity in the one-imensional case using Hermite polynomials as ansatz functions, but the framework is able to hanle multi-imensional settings as well. The main part of this paper is concerne with the extension of the proof given in [8] to arbitrary imensions an more flexible basis expansions. The evelope framework can be applie to this setting analogously to the one-imensional case as we will show. This results in a straightforwar proof an makes it possible to calculate the eigenvalues of the system analytically. The paper is organize as follows: We first explain the basic concepts an recall the equations erive in [8] using quarature-base projection methos, along with the conitions for hyperbolicity of the emerging system. A proof for global hyperbolicity of the PDE system in the general -imensional case is etaile in the main section. The paper ens with a short conclusion. Proceeings of the 29th International Symposium on Rarefie Gas Dynamics AIP Conf. Proc. 628, ; oi: 0.063/ AIP Publishing LLC /$
2 TRANSFORMED BOLTZMANN TRANSPORT EQUATION We consier the Boltzmann equation without external force for the evolution of the mass ensity function f t,x,c t f t,x,c+c i f t,x,c=s f, x i where we assume a -imensional setting, i.e. x R an velocity v R. Inex notation is use whenever the inices are no further specifie, e.g. in the transport term of Equation. The collision operator S f on the right-han sie will be neglecte throughout this paper as we focus on the transport part of Equation. Moels for the right-han sie can be foun in [9], [0] an []. The macroscopic quantities ensity ρt, x, velocity vt, x an energy θt, x of the istribution function can be compute by integration over the velocity space we will omit the arguments most of the time for better reaability. ρ = f t,x,c c, ρv = c f t,x,c c, ρθ = c v 2 f t,x,c c. 2 R R R Multiplication of Eq. with,c,c 2 i followe by integration over the velocity space yiels the conservation laws of mass, momentum an energy, see e.g. [2]. We recall the transforme version of the Boltzmann Eq. that essentially uses a Lagrangian velocity phase space an thus exhibits physical aaptivity which allows for efficient an yet simple iscretizations, introuce also in [3]. As escribe in [7], the velocity is transforme in a highly non-linear way to allow for intrinsic physical aaptivity of the scheme. We shift the microscopic velocity c by its macroscopic counterpart v an scale by the stanar eviation θ. The corresponing Galilei-invariant variable transformation reas c c vt,x θt,x =: ξ t,x,c. 3 Every Maxwellian in c-space is thus transforme to a Gaussian in ξ -space scale with ensity ρ, as epicte in [7]. We furthermore use a scale istribution function f t,x,ξ, efine by f t,x,ξ = ρ θ f t,x,ξ. 4 Accoring to [7] an with the help of the convective time erivative D t := t + v i xi, Equation transforms to ρ D tρ 2θ D tθ f + D t f + θξ j ρ x j ρ 2θ x j θ f + x j f + ξ j f D t v j + θξ i xi v j θ 2θ ξ j D t θ + θξ i xi θ 5 = 0. T This PDE for the vector of unknowns u = ρ,v,...,v,θ, f can be written in the following compact notation Λ AD t u + Λ θξ i A xi u = 0, 6 using the efinitions A = f, f,..., f f, f ξ j, R +3, 7 ξ ξ ξ j Λ = ρ θ I 2 θ R
3 Equation 6 is uneretermine, as ρ,v an θ are not known. But the efinition of the macroscopic variables accoring to Eq. 2 leas to + 2 aitional algebraic equations that formally close the system. It was shown in [8] that point evaluations of Eq. 6 together with a reasonable finite ifference approximation of the erivatives ξ j f o in general not lea to a globally hyperbolic system as eigenvalues of the system matrix epen on the unknowns. A eficiency that is remove with the help of quarature-base projection methos, as explaine in the following Section. GENERAL FRAMEWORK FOR HYPERBOLIC APPROXIMATION OF KINETIC EQUATIONS We expan the unknown istribution function f t, x, ξ aroun its equilibrium Maxwellian with respect to basis functions φ α ξ an corresponing coefficients κ α t,x, obtaining f t,x,ξ = n α= κ α t,xφ α ξ. 9 with ifferentiable ansatz functions φ α ξ. After insertion of Ansatz 9 into Eq. 6, we multiply with test functions ψ β ξ for β =,...,n an integrate over the velocity space to obtain a system of equations for the unknowns ρ,v,θ an the basis coefficients κ α. This can be interprete as a projection with projection operator P P β g := g,ψ β = gψ R β ξ. 0 As the efinition of P using exact integration oes not lea to global hyperbolic systems see [5], we use an approximative projection operator Q, that computes the integrals by Gauss-quarature P β g Q β g := n k= w k gξ k ψ β ξ k. with positive quarature weights w k an pairwise istinct quarature points ξ k R, for k =,...,n. Applying Q β for β =,...,n to Eq. 6 with Expansion 9 inserte, the emerging PDE system can be written in the following form Ψ T WAΛ D Dt ũ + Ψ T WΞ i AΛ θ ũ = 0, 2 i= x i with unknowns ũ =ρ,v,...,v,θ,κ 0,...,κ n T R n++2, 3 a columnwise efine system matrix A = Φκ, κ,..., κ, Φκ Ξ j κ,φ R n n++2, 4 ξ ξ ξ j consisting of matrices for i, j =,...,n an k =,..., Ψ i, j = ψ j ξ i, Φ i, j = φ j ξ i, Ξ k i, j = ξ i ξ k i, j = ξk φ j ξi 5 δ ij, k W i, j = ω i δ ij 6 as well as Λ from Eq. 26 with I n instea of as last entry. It is alreay clear, that System 2 is not close, as its n equations inclue n unknowns. A moel reuction is explaine in the following accoring to the proceure escribe in [8]. 628
4 Inserting the scale istribution function from Eq. 4 an using 9, we get + 2 compatibility conitions from Eqs. 2 = κ α φ α ξ,, 0 = κ α φ α ξ,ξ i, for i =,...,, = κ α φ α ξ,ξi 2. 7 The compatibility conitions 7 can be use to reuce the number of unknowns in the PDE system to obtain a close PDE system similar to the general proceure escribe in [4]. We thus use Q R l n,c =,0,...,0, T R l an write the l = + 2 Eqs. 7 in matrix-vector form to efine Q by Qκ = c. 8 Now we ecompose Q R l n as follows e.g. using singular value ecomposition: Q = SMT, with regular S R l l, M = Q,0 R l n, regular Q R l l an regular T R n n. 9 We can then solve for the first l variables of a transforme set of variables β R n using β = β0 β an then close the system of PDEs by inserting β0 β 0 κ = T = T β,t 2 β := T κ β 0 = Q S c 20 = T Q S c + T 2 β, 2 with a proper splitting of the columns of T = T,T 2. With the help of the compatibility conitions, the set of n basis coefficients κ is thus reuce to a set of n l variables β which leas to a close PDE system with the same number of equations an unknowns. Rewriting System 2 with the help of the reuce variables, we get Ψ T D WA β Λ β Dt u + Ψ T WΞ i A β Λ β θ u = 0 22 i= x i with a columnwise efine system matrix A β of which the first + 2 columns inclue the transforme coefficients β: A β = Φ β,,...,, Φ ξ β ξ β Ξ j,φt β ξ 2 R n n. 23 j β Aitionally, we use the efinition of the matrices for i, j =,...,n an k =,..., Φ β = Φ T Q S c + T 2 β, 24 = T Q S c + T 2 β, 25 ξ k β ξ k Λ β = ρ θ I 2 θ I n 2 Rn n. 26 The subscript β thus enotes a epenence of the corresponing matrix on the unknowns β. The important question of hyperbolicity of System 22 is aresse by Theorem in [8] an requires essentially only the regularity of matrices Ψ,W,Λ β an A β, of which the regularity of matrix A β is the only non-trivial task for most cases. 629
5 Provie these requirements, the generalize eigenvalues λ k for k =,...,n are all real an rea λ k = i= n i ξ k i θ + vi, for k =,...,n. 27 After the valiation of the conitions for the one-imensional case in previous papers, we will show global hyperbolicity in the general -imensional case in the following Section. GLOBALLY HYPERBOLIC SYSTEM USING HERMITE ANSATZ AND QUADRATURE IN D DIMENSIONS A proof of global hyperbolicity for the one-imensional system with Hermite ansatz functions can be foun in [8]. We will now exten the proof to the general case of imensions in position an velocity space, i.e. x,ξ R. We consier the following basis expansion for the scale istribution function f in orthonormal basis functions f t,x,ξ = κ α t,xφ α ξ, 28 α i N i for a -imensional multi-inex α N an a vector N =N 0,...,N N specifying the moment theory. The total number of unknown basis coefficients is enote as N = i= N i +. The corresponing basis functions are the tensor prouct of one-imensional Hermite functions φ α ξ = i= φ αi ξ i, φ i x=he i x e x2 /2 2π an test functions ψ α ξ = i= He i ξ i, 29 with normalize Hermite polynomial He i of egree i such that the following recursion formulas hol α = α α i + Φ α+ei, ξ i = α i + αi + 2Φ α+2ei + α i + Φ α. 30 ξ i ξ i Note that this ansatz 28 an 29 exhibits some flexibility, because ifferent choices for N i can be chosen to capture the ifferent behaviour of the istribution function in each spatial irection. We will nevertheless loose rotational invariance with this separation ansatz. The quarature projection is one using multi-imensional Gauss-Hermite quarature as follows R gξ ξ N i =0... N i =0 g ξ i,...,ξ i w,i...w,i, 3 using quarature points ξ i j an weights w i, j given by ξ i j = j-th root of He Ni + ξ i, for i =,...,, j = 0,...,N i 32 w i, j = j-th weight of quarature formula in irection i, for i =,...,, j = 0,...,N i 33 A compact notation for the quarature formula is N gξ ξ R g ξ k w k, k= 34 with the total number of quarature points equal to the number of basis coefficients N an a consecutive orering of the quarature points accoring to ξ k { ξ i,...,ξ i i j {0,...,N j }, j =,...,} 35 w k {Π j=w j,i j i j {0,...,N j }, j =,...,} 36 The setting escribe above enables us to prove the following central theorem of this paper: Theorem Using tensor prouct Hermite basis an test functions as specifie in Eqs. 29 together with Gauss- Hermite quarature, the conitions of Theorem in [8] are fulfille an the resulting PDE system is globally hyperbolic. 630
6 Proof We first reuce the number of unknowns as escribe in using the ecomposition 9 an state the compatibility conitions erive using Equation 7 as = κ 0, 0 = κ ei, for i =,...,, = κ i= κ 2ei. 37 We orer the basis coefficients introucing the inex set N κ = {α N < α,α i N i,α 2e i,i =,...,} κ = κ 0,κ ei,κ 2ei, κ α α N κ. 38 to write Equations 37 in matrix vector form as Qκ = c, see 8, with c =,0,...,0, T, Q = A ecomposition Q = SMT is one accoring to Equation 9 using I }{{} 39 I + S =......, M =... 0, T =... 2 }{{} I N 2 2 }{{} Q 40 Splitting the matrix T into two parts as propose in Eq. 2, we can ientify the multiplication of a matrix with T 2 from the right as eletion of the first + columns an subtraction of the + 2 n column from columns + 3upto Multiplication with T extracts the first + 2 columns. The unknown vector κ can be rewritten with only N 2 variables as κ =,0,...,0, i= κ 2ei, κ α α N κ which correspons to the solution of Eqs. 37 for the first + 2 unknowns. T, 4 We will now erive matrix A β in 23 columnwise in orer to show regularity of A β later. For better reaability, we introuce a set of multi-inices N β0 = {0,e,...,e,2e }, such that the corresponing basis coefficients κ α for α N β0 are all the coefficients β 0, that we have explicitly calculate using the compatibility conitions, i.e. the first + 2 entries in κ an the remaining multi-inices form the set N β = {α N,α i N i, < α,α 2e }. The last N 2 columns of A β see 23 for the efinition, ientifie by the corresponing multi-inex α N β, are ΦT 2 an rea ΦT 2α = Φ α Φ 2e δ α,2e j, for α N β. 42 j=2 The first column Φ β can be written as Φ β = Φ 0 + j=2 Φ 2e j Φ 2e κ 2e j + α N κ Φ α κ α 43 63
7 Columns 2 to + can be simplifie using the recursion formulas in 30 = Φ ξ ei 2Φ 2e +e i i κ 2e j + Φ αi α+ei + κ α, 44 β j=2 α N β,α i <N i where the last sum only inclues α i < N i, because a value α i = N i woul evaluate Φ α+ei to zero, as the i th entry of each quarature point is a root of the N i + st Hermite polynomial. For the remaining + 2 n column, the term j= ξ j can be written as ξ j β j= ξ j ξ j β so that the entire column reas ξ j ξ j β = j= j= α j <N j α j + Φ α κ α α j =N j Φ α κ α + j= α j +<N j α j + α j + 2Φ α+2e j κ α, 45 Φ β = α j Φ α κ α + α j + α j + 2Φ α+2e j κ α j= α j <N j α j +<N j 46 = 2 Φ 2e j + 2 Φ 2e j Φ 2e κ 2e j + Φ α γ α, j= j=2 α N κ 47 for γ α R incluing some coefficients κ α to sum up the higher orer terms. With the help of the expressions for the single columns, we can now easily go through the conitions of Theorem in [8] an prove the central statement of this paper. We have to check regularity of matrices Ψ,W,Λ β an A β in orer to verify global hyperbolicity of System 22 in our setting. Ψ is regular by construction, as its columns are point evaluations of each orthogonal test function. W is a regular iagonal matrix, because the quarature weights are strict positive for multi-imensional Gauss- Hermite quarature. Λ β is regular, if an only if ρ 0 an θ 0, this is true by assumption of Ansatz 4. As erive above, every column of A β is a linear combination of some Φ α. Linear inepenence of its colums can be prove by checking where each column Φ α appears. In total, we must not have more than N columns Φ α involve an all columns of A β have to be linearly inepenent of each other. ΦT 2 see Eq. 42 has linear inepenent columns Φ α Φ 2e j=2 δ α,2e j, for α N β, 2 Φ β see Eq. 43 is a linear combination of columns of ΦT 2 plus an aitional Φ 0 an thus linearly inepenent of ΦT 2, 3 see Eq. 44 is a linear combination of the columns of ΦT ξ i 2 plus an aitional Φ β ei an thus linearly inepenent of the others 4 Φ β j= ξ j see Eq. 47 is a linear combination of columns of ΦT ξ j 2 plus an aitional 2 j= Φ 2e β j an thus linearly inepenent of the others. Accoring to Eq.27, the eigenvalues of the system matrix can be erive analytically an are closely connecte with the Hermite roots. The following two-imensional example in Fig. shows that the eigenvalues in fact lie on circles going through the origin an one of the quarature points, which consists of Hermite roots. CONCLUSION After the presentation of the most important notations an previous results, we have escribe a very flexible ansatz using tensor prouct Hermite basis functions of ifferent orer in each spatial irection. This ansatz is capable of capturing the important features of the istribution function, e.g. for applications with certain pronounce irections. 632
8 y 2 2 y 2 2 x 2 2 x 2 2 FIGURE. Eigenvalue plot of 2D example for asymmetric N = 3,N 2 = left an symmetric N = N 2 = 2 right By extension of the proof for hyperbolicity from the one-imensional case to the multi-imensional case, we have shown another successful application of the general framework evelope in [8]. With the help of simple quarature rules an their properties, the necessary expressions coul be erive an it was possible to show global hyperbolicity of the system of equations. Furthermore, the eigenvalues of the generalize system matrix coul be compute analytically. ACKNOWLEDGMENTS This work has been carrie out with the support of the German National Acaemic Founation. REFERENCES. H. Gra, Comm. Pure Appl. Math. 2, F. Brini, Continuum Mech. Thermoyn. 3, M. Torrilhon, Comm. Comput. Phys. 7, C. D. Levermore, Journal of Statistical Physics 83, Z. Cai, Y. Fan, an R. Li, Commun. Math. Sci., Z. Cai, Y. Fan, an R. Li, "A Framework on Moment Moel Reuction for Kinetic Equation," submitte. 7. J. Koellermeier, Hyperbolic Approximation of Kinetic Equations Using Quarature-Base Projection Methos, Master s thesis, RWTH Aachen University J. Koellermeier, R. Schaerer, an M. Torrilhon, Kinet. Relat. Mo, 7, P. L. Bhatnagar, E. P. Gross, an M. Krook, Physical Review 94, C. Cercignani, The Boltzmann Equation an its Application, Springer, S. Heinz, Statistical Mechanics of Turbulent Flows, Springer, H. Struchtrup, Macroscopic Transport Equations for Rarefie Gas Flows, Springer, P. Kauf, Multi-Scale Approximation Moels for the Boltzmann Equation, Ph.D. thesis, ETH Zürich E. Hairer, an G. Wanner, Solving Orinary Differential Equations II, Stiff an Differential-Algebraic Problems, Springer Verlag,
Hyperbolic Moment Equations Using Quadrature-Based Projection Methods
Using Quadrature-Based Projection Methods Julian Köllermeier, Manuel Torrilhon 29th International Symposium on Rarefied Gas Dynamics, Xi an July 14th, 2014 Julian Köllermeier, Manuel Torrilhon 1 / 12 Outline
More informationSimplified Hyperbolic Moment Equations
Simplified Hyperbolic Moment Equations Julian Koellermeier and Manuel Torrilhon Abstract Hyperbolicity is a necessary property of model equations for the solution of the BGK equation to achieve stable
More informationHyperbolic Systems of Equations Posed on Erroneous Curved Domains
Hyperbolic Systems of Equations Pose on Erroneous Curve Domains Jan Norström a, Samira Nikkar b a Department of Mathematics, Computational Mathematics, Linköping University, SE-58 83 Linköping, Sween (
More information19 Eigenvalues, Eigenvectors, Ordinary Differential Equations, and Control
19 Eigenvalues, Eigenvectors, Orinary Differential Equations, an Control This section introuces eigenvalues an eigenvectors of a matrix, an iscusses the role of the eigenvalues in etermining the behavior
More informationChapter 6: Energy-Momentum Tensors
49 Chapter 6: Energy-Momentum Tensors This chapter outlines the general theory of energy an momentum conservation in terms of energy-momentum tensors, then applies these ieas to the case of Bohm's moel.
More informationLie symmetry and Mei conservation law of continuum system
Chin. Phys. B Vol. 20, No. 2 20 020 Lie symmetry an Mei conservation law of continuum system Shi Shen-Yang an Fu Jing-Li Department of Physics, Zhejiang Sci-Tech University, Hangzhou 3008, China Receive
More informationGeneralization of the persistent random walk to dimensions greater than 1
PHYSICAL REVIEW E VOLUME 58, NUMBER 6 DECEMBER 1998 Generalization of the persistent ranom walk to imensions greater than 1 Marián Boguñá, Josep M. Porrà, an Jaume Masoliver Departament e Física Fonamental,
More informationθ x = f ( x,t) could be written as
9. Higher orer PDEs as systems of first-orer PDEs. Hyperbolic systems. For PDEs, as for ODEs, we may reuce the orer by efining new epenent variables. For example, in the case of the wave equation, (1)
More informationLATTICE-BASED D-OPTIMUM DESIGN FOR FOURIER REGRESSION
The Annals of Statistics 1997, Vol. 25, No. 6, 2313 2327 LATTICE-BASED D-OPTIMUM DESIGN FOR FOURIER REGRESSION By Eva Riccomagno, 1 Rainer Schwabe 2 an Henry P. Wynn 1 University of Warwick, Technische
More informationSYMMETRIC KRONECKER PRODUCTS AND SEMICLASSICAL WAVE PACKETS
SYMMETRIC KRONECKER PRODUCTS AND SEMICLASSICAL WAVE PACKETS GEORGE A HAGEDORN AND CAROLINE LASSER Abstract We investigate the iterate Kronecker prouct of a square matrix with itself an prove an invariance
More informationOn a New Diagram Notation for the Derivation of Hyperbolic Moment Models
On a New Diagram Notation for the Derivation of Hyperbolic Moment Models Julian Koellermeier, Manuel Torrilhon, Yuwei Fan March 17th, 2017 Stanford University J. Koellermeier 1 / 57 of Hyperbolic Moment
More informationLecture XII. where Φ is called the potential function. Let us introduce spherical coordinates defined through the relations
Lecture XII Abstract We introuce the Laplace equation in spherical coorinates an apply the metho of separation of variables to solve it. This will generate three linear orinary secon orer ifferential equations:
More informationA Note on Exact Solutions to Linear Differential Equations by the Matrix Exponential
Avances in Applie Mathematics an Mechanics Av. Appl. Math. Mech. Vol. 1 No. 4 pp. 573-580 DOI: 10.4208/aamm.09-m0946 August 2009 A Note on Exact Solutions to Linear Differential Equations by the Matrix
More informationLinear First-Order Equations
5 Linear First-Orer Equations Linear first-orer ifferential equations make up another important class of ifferential equations that commonly arise in applications an are relatively easy to solve (in theory)
More informationarxiv: v1 [physics.flu-dyn] 8 May 2014
Energetics of a flui uner the Boussinesq approximation arxiv:1405.1921v1 [physics.flu-yn] 8 May 2014 Kiyoshi Maruyama Department of Earth an Ocean Sciences, National Defense Acaemy, Yokosuka, Kanagawa
More informationEuler equations for multiple integrals
Euler equations for multiple integrals January 22, 2013 Contents 1 Reminer of multivariable calculus 2 1.1 Vector ifferentiation......................... 2 1.2 Matrix ifferentiation........................
More informationarxiv: v1 [math-ph] 5 May 2014
DIFFERENTIAL-ALGEBRAIC SOLUTIONS OF THE HEAT EQUATION VICTOR M. BUCHSTABER, ELENA YU. NETAY arxiv:1405.0926v1 [math-ph] 5 May 2014 Abstract. In this work we introuce the notion of ifferential-algebraic
More informationState-Space Model for a Multi-Machine System
State-Space Moel for a Multi-Machine System These notes parallel section.4 in the text. We are ealing with classically moele machines (IEEE Type.), constant impeance loas, an a network reuce to its internal
More informationSchrödinger s equation.
Physics 342 Lecture 5 Schröinger s Equation Lecture 5 Physics 342 Quantum Mechanics I Wenesay, February 3r, 2010 Toay we iscuss Schröinger s equation an show that it supports the basic interpretation of
More informationarxiv:hep-th/ v1 3 Feb 1993
NBI-HE-9-89 PAR LPTHE 9-49 FTUAM 9-44 November 99 Matrix moel calculations beyon the spherical limit arxiv:hep-th/93004v 3 Feb 993 J. Ambjørn The Niels Bohr Institute Blegamsvej 7, DK-00 Copenhagen Ø,
More informationThe derivative of a function f(x) is another function, defined in terms of a limiting expression: f(x + δx) f(x)
Y. D. Chong (2016) MH2801: Complex Methos for the Sciences 1. Derivatives The erivative of a function f(x) is another function, efine in terms of a limiting expression: f (x) f (x) lim x δx 0 f(x + δx)
More informationDiagonalization of Matrices Dr. E. Jacobs
Diagonalization of Matrices Dr. E. Jacobs One of the very interesting lessons in this course is how certain algebraic techniques can be use to solve ifferential equations. The purpose of these notes is
More informationComparison of Numerical Solutions for the Boltzmann Equation and Different Moment Models
Comparison of Numerical Solutions for the Boltzmann Equation and Different Moment Models Julian Koellermeier, Manuel Torrilhon October 12th, 2015 Chinese Academy of Sciences, Beijing Julian Koellermeier,
More informationLeast-Squares Regression on Sparse Spaces
Least-Squares Regression on Sparse Spaces Yuri Grinberg, Mahi Milani Far, Joelle Pineau School of Computer Science McGill University Montreal, Canaa {ygrinb,mmilan1,jpineau}@cs.mcgill.ca 1 Introuction
More informationSeparation of Variables
Physics 342 Lecture 1 Separation of Variables Lecture 1 Physics 342 Quantum Mechanics I Monay, January 25th, 2010 There are three basic mathematical tools we nee, an then we can begin working on the physical
More informationMath 342 Partial Differential Equations «Viktor Grigoryan
Math 342 Partial Differential Equations «Viktor Grigoryan 6 Wave equation: solution In this lecture we will solve the wave equation on the entire real line x R. This correspons to a string of infinite
More informationApplications of the Wronskian to ordinary linear differential equations
Physics 116C Fall 2011 Applications of the Wronskian to orinary linear ifferential equations Consier a of n continuous functions y i (x) [i = 1,2,3,...,n], each of which is ifferentiable at least n times.
More information4. Important theorems in quantum mechanics
TFY4215 Kjemisk fysikk og kvantemekanikk - Tillegg 4 1 TILLEGG 4 4. Important theorems in quantum mechanics Before attacking three-imensional potentials in the next chapter, we shall in chapter 4 of this
More informationQuantum Mechanics in Three Dimensions
Physics 342 Lecture 20 Quantum Mechanics in Three Dimensions Lecture 20 Physics 342 Quantum Mechanics I Monay, March 24th, 2008 We begin our spherical solutions with the simplest possible case zero potential.
More informationSparse Reconstruction of Systems of Ordinary Differential Equations
Sparse Reconstruction of Systems of Orinary Differential Equations Manuel Mai a, Mark D. Shattuck b,c, Corey S. O Hern c,a,,e, a Department of Physics, Yale University, New Haven, Connecticut 06520, USA
More informationMomentum and Energy. Chapter Conservation Principles
Chapter 2 Momentum an Energy In this chapter we present some funamental results of continuum mechanics. The formulation is base on the principles of conservation of mass, momentum, angular momentum, an
More informationLecture Introduction. 2 Examples of Measure Concentration. 3 The Johnson-Lindenstrauss Lemma. CS-621 Theory Gems November 28, 2012
CS-6 Theory Gems November 8, 0 Lecture Lecturer: Alesaner Mąry Scribes: Alhussein Fawzi, Dorina Thanou Introuction Toay, we will briefly iscuss an important technique in probability theory measure concentration
More informationII. First variation of functionals
II. First variation of functionals The erivative of a function being zero is a necessary conition for the etremum of that function in orinary calculus. Let us now tackle the question of the equivalent
More informationCOUPLING REQUIREMENTS FOR WELL POSED AND STABLE MULTI-PHYSICS PROBLEMS
VI International Conference on Computational Methos for Couple Problems in Science an Engineering COUPLED PROBLEMS 15 B. Schrefler, E. Oñate an M. Paparakakis(Es) COUPLING REQUIREMENTS FOR WELL POSED AND
More informationStable and compact finite difference schemes
Center for Turbulence Research Annual Research Briefs 2006 2 Stable an compact finite ifference schemes By K. Mattsson, M. Svär AND M. Shoeybi. Motivation an objectives Compact secon erivatives have long
More informationFree rotation of a rigid body 1 D. E. Soper 2 University of Oregon Physics 611, Theoretical Mechanics 5 November 2012
Free rotation of a rigi boy 1 D. E. Soper 2 University of Oregon Physics 611, Theoretical Mechanics 5 November 2012 1 Introuction In this section, we escribe the motion of a rigi boy that is free to rotate
More informationTable of Common Derivatives By David Abraham
Prouct an Quotient Rules: Table of Common Derivatives By Davi Abraham [ f ( g( ] = [ f ( ] g( + f ( [ g( ] f ( = g( [ f ( ] g( g( f ( [ g( ] Trigonometric Functions: sin( = cos( cos( = sin( tan( = sec
More informationu!i = a T u = 0. Then S satisfies
Deterministic Conitions for Subspace Ientifiability from Incomplete Sampling Daniel L Pimentel-Alarcón, Nigel Boston, Robert D Nowak University of Wisconsin-Maison Abstract Consier an r-imensional subspace
More informationIntroduction to the Vlasov-Poisson system
Introuction to the Vlasov-Poisson system Simone Calogero 1 The Vlasov equation Consier a particle with mass m > 0. Let x(t) R 3 enote the position of the particle at time t R an v(t) = ẋ(t) = x(t)/t its
More informationSwitching Time Optimization in Discretized Hybrid Dynamical Systems
Switching Time Optimization in Discretize Hybri Dynamical Systems Kathrin Flaßkamp, To Murphey, an Sina Ober-Blöbaum Abstract Switching time optimization (STO) arises in systems that have a finite set
More informationImplicit Differentiation
Implicit Differentiation Thus far, the functions we have been concerne with have been efine explicitly. A function is efine explicitly if the output is given irectly in terms of the input. For instance,
More informationLower Bounds for the Smoothed Number of Pareto optimal Solutions
Lower Bouns for the Smoothe Number of Pareto optimal Solutions Tobias Brunsch an Heiko Röglin Department of Computer Science, University of Bonn, Germany brunsch@cs.uni-bonn.e, heiko@roeglin.org Abstract.
More informationNumerical Simulation of Rarefied Gases using Hyperbolic Moment Equations in Partially-Conservative Form
Numerical Simulation of Rarefied Gases using Hyperbolic Moment Equations in Partially-Conservative Form Julian Koellermeier, Manuel Torrilhon May 18th, 2017 FU Berlin J. Koellermeier 1 / 52 Partially-Conservative
More informationThe total derivative. Chapter Lagrangian and Eulerian approaches
Chapter 5 The total erivative 51 Lagrangian an Eulerian approaches The representation of a flui through scalar or vector fiels means that each physical quantity uner consieration is escribe as a function
More informationensembles When working with density operators, we can use this connection to define a generalized Bloch vector: v x Tr x, v y Tr y
Ph195a lecture notes, 1/3/01 Density operators for spin- 1 ensembles So far in our iscussion of spin- 1 systems, we have restricte our attention to the case of pure states an Hamiltonian evolution. Toay
More informationThe Exact Form and General Integrating Factors
7 The Exact Form an General Integrating Factors In the previous chapters, we ve seen how separable an linear ifferential equations can be solve using methos for converting them to forms that can be easily
More information6 General properties of an autonomous system of two first order ODE
6 General properties of an autonomous system of two first orer ODE Here we embark on stuying the autonomous system of two first orer ifferential equations of the form ẋ 1 = f 1 (, x 2 ), ẋ 2 = f 2 (, x
More informationWUCHEN LI AND STANLEY OSHER
CONSTRAINED DYNAMICAL OPTIMAL TRANSPORT AND ITS LAGRANGIAN FORMULATION WUCHEN LI AND STANLEY OSHER Abstract. We propose ynamical optimal transport (OT) problems constraine in a parameterize probability
More informationThe Principle of Least Action
Chapter 7. The Principle of Least Action 7.1 Force Methos vs. Energy Methos We have so far stuie two istinct ways of analyzing physics problems: force methos, basically consisting of the application of
More informationWe G Model Reduction Approaches for Solution of Wave Equations for Multiple Frequencies
We G15 5 Moel Reuction Approaches for Solution of Wave Equations for Multiple Frequencies M.Y. Zaslavsky (Schlumberger-Doll Research Center), R.F. Remis* (Delft University) & V.L. Druskin (Schlumberger-Doll
More informationNOTES ON EULER-BOOLE SUMMATION (1) f (l 1) (n) f (l 1) (m) + ( 1)k 1 k! B k (y) f (k) (y) dy,
NOTES ON EULER-BOOLE SUMMATION JONATHAN M BORWEIN, NEIL J CALKIN, AND DANTE MANNA Abstract We stuy a connection between Euler-MacLaurin Summation an Boole Summation suggeste in an AMM note from 196, which
More informationApplication of the homotopy perturbation method to a magneto-elastico-viscous fluid along a semi-infinite plate
Freun Publishing House Lt., International Journal of Nonlinear Sciences & Numerical Simulation, (9), -, 9 Application of the homotopy perturbation metho to a magneto-elastico-viscous flui along a semi-infinite
More informationConservation Laws. Chapter Conservation of Energy
20 Chapter 3 Conservation Laws In orer to check the physical consistency of the above set of equations governing Maxwell-Lorentz electroynamics [(2.10) an (2.12) or (1.65) an (1.68)], we examine the action
More informationSINGULAR PERTURBATION AND STATIONARY SOLUTIONS OF PARABOLIC EQUATIONS IN GAUSS-SOBOLEV SPACES
Communications on Stochastic Analysis Vol. 2, No. 2 (28) 289-36 Serials Publications www.serialspublications.com SINGULAR PERTURBATION AND STATIONARY SOLUTIONS OF PARABOLIC EQUATIONS IN GAUSS-SOBOLEV SPACES
More informationLecture 2 Lagrangian formulation of classical mechanics Mechanics
Lecture Lagrangian formulation of classical mechanics 70.00 Mechanics Principle of stationary action MATH-GA To specify a motion uniquely in classical mechanics, it suffices to give, at some time t 0,
More informationWitt#5: Around the integrality criterion 9.93 [version 1.1 (21 April 2013), not completed, not proofread]
Witt vectors. Part 1 Michiel Hazewinkel Sienotes by Darij Grinberg Witt#5: Aroun the integrality criterion 9.93 [version 1.1 21 April 2013, not complete, not proofrea In [1, section 9.93, Hazewinkel states
More informationMEASURES WITH ZEROS IN THE INVERSE OF THEIR MOMENT MATRIX
MEASURES WITH ZEROS IN THE INVERSE OF THEIR MOMENT MATRIX J. WILLIAM HELTON, JEAN B. LASSERRE, AND MIHAI PUTINAR Abstract. We investigate an iscuss when the inverse of a multivariate truncate moment matrix
More informationAngles-Only Orbit Determination Copyright 2006 Michel Santos Page 1
Angles-Only Orbit Determination Copyright 6 Michel Santos Page 1 Abstract This ocument presents a re-erivation of the Gauss an Laplace Angles-Only Methos for Initial Orbit Determination. It keeps close
More informationEnergy behaviour of the Boris method for charged-particle dynamics
Version of 25 April 218 Energy behaviour of the Boris metho for charge-particle ynamics Ernst Hairer 1, Christian Lubich 2 Abstract The Boris algorithm is a wiely use numerical integrator for the motion
More informationEVALUATING HIGHER DERIVATIVE TENSORS BY FORWARD PROPAGATION OF UNIVARIATE TAYLOR SERIES
MATHEMATICS OF COMPUTATION Volume 69, Number 231, Pages 1117 1130 S 0025-5718(00)01120-0 Article electronically publishe on February 17, 2000 EVALUATING HIGHER DERIVATIVE TENSORS BY FORWARD PROPAGATION
More informationAssignment 1. g i (x 1,..., x n ) dx i = 0. i=1
Assignment 1 Golstein 1.4 The equations of motion for the rolling isk are special cases of general linear ifferential equations of constraint of the form g i (x 1,..., x n x i = 0. i=1 A constraint conition
More informationCalculus of Variations
16.323 Lecture 5 Calculus of Variations Calculus of Variations Most books cover this material well, but Kirk Chapter 4 oes a particularly nice job. x(t) x* x*+ αδx (1) x*- αδx (1) αδx (1) αδx (1) t f t
More informationTHE ACCURATE ELEMENT METHOD: A NEW PARADIGM FOR NUMERICAL SOLUTION OF ORDINARY DIFFERENTIAL EQUATIONS
THE PUBISHING HOUSE PROCEEDINGS O THE ROMANIAN ACADEMY, Series A, O THE ROMANIAN ACADEMY Volume, Number /, pp. 6 THE ACCURATE EEMENT METHOD: A NEW PARADIGM OR NUMERICA SOUTION O ORDINARY DIERENTIA EQUATIONS
More information05 The Continuum Limit and the Wave Equation
Utah State University DigitalCommons@USU Founations of Wave Phenomena Physics, Department of 1-1-2004 05 The Continuum Limit an the Wave Equation Charles G. Torre Department of Physics, Utah State University,
More informationLagrangian and Hamiltonian Mechanics
Lagrangian an Hamiltonian Mechanics.G. Simpson, Ph.. epartment of Physical Sciences an Engineering Prince George s Community College ecember 5, 007 Introuction In this course we have been stuying classical
More informationThe effect of nonvertical shear on turbulence in a stably stratified medium
The effect of nonvertical shear on turbulence in a stably stratifie meium Frank G. Jacobitz an Sutanu Sarkar Citation: Physics of Fluis (1994-present) 10, 1158 (1998); oi: 10.1063/1.869640 View online:
More informationThermal conductivity of graded composites: Numerical simulations and an effective medium approximation
JOURNAL OF MATERIALS SCIENCE 34 (999)5497 5503 Thermal conuctivity of grae composites: Numerical simulations an an effective meium approximation P. M. HUI Department of Physics, The Chinese University
More informationRobust Low Rank Kernel Embeddings of Multivariate Distributions
Robust Low Rank Kernel Embeings of Multivariate Distributions Le Song, Bo Dai College of Computing, Georgia Institute of Technology lsong@cc.gatech.eu, boai@gatech.eu Abstract Kernel embeing of istributions
More informationSturm-Liouville Theory
LECTURE 5 Sturm-Liouville Theory In the three preceing lectures I emonstrate the utility of Fourier series in solving PDE/BVPs. As we ll now see, Fourier series are just the tip of the iceberg of the theory
More informationFormulation of statistical mechanics for chaotic systems
PRAMANA c Inian Acaemy of Sciences Vol. 72, No. 2 journal of February 29 physics pp. 315 323 Formulation of statistical mechanics for chaotic systems VISHNU M BANNUR 1, an RAMESH BABU THAYYULLATHIL 2 1
More informationCharacterizing Real-Valued Multivariate Complex Polynomials and Their Symmetric Tensor Representations
Characterizing Real-Value Multivariate Complex Polynomials an Their Symmetric Tensor Representations Bo JIANG Zhening LI Shuzhong ZHANG December 31, 2014 Abstract In this paper we stuy multivariate polynomial
More informationSome Examples. Uniform motion. Poisson processes on the real line
Some Examples Our immeiate goal is to see some examples of Lévy processes, an/or infinitely-ivisible laws on. Uniform motion Choose an fix a nonranom an efine X := for all (1) Then, {X } is a [nonranom]
More information'HVLJQ &RQVLGHUDWLRQ LQ 0DWHULDO 6HOHFWLRQ 'HVLJQ 6HQVLWLYLW\,1752'8&7,21
Large amping in a structural material may be either esirable or unesirable, epening on the engineering application at han. For example, amping is a esirable property to the esigner concerne with limiting
More informationLectures - Week 10 Introduction to Ordinary Differential Equations (ODES) First Order Linear ODEs
Lectures - Week 10 Introuction to Orinary Differential Equations (ODES) First Orer Linear ODEs When stuying ODEs we are consiering functions of one inepenent variable, e.g., f(x), where x is the inepenent
More informationRobust Forward Algorithms via PAC-Bayes and Laplace Distributions. ω Q. Pr (y(ω x) < 0) = Pr A k
A Proof of Lemma 2 B Proof of Lemma 3 Proof: Since the support of LL istributions is R, two such istributions are equivalent absolutely continuous with respect to each other an the ivergence is well-efine
More informationChapter 4. Electrostatics of Macroscopic Media
Chapter 4. Electrostatics of Macroscopic Meia 4.1 Multipole Expansion Approximate potentials at large istances 3 x' x' (x') x x' x x Fig 4.1 We consier the potential in the far-fiel region (see Fig. 4.1
More informationSurvey Sampling. 1 Design-based Inference. Kosuke Imai Department of Politics, Princeton University. February 19, 2013
Survey Sampling Kosuke Imai Department of Politics, Princeton University February 19, 2013 Survey sampling is one of the most commonly use ata collection methos for social scientists. We begin by escribing
More informationand from it produce the action integral whose variation we set to zero:
Lagrange Multipliers Monay, 6 September 01 Sometimes it is convenient to use reunant coorinates, an to effect the variation of the action consistent with the constraints via the metho of Lagrange unetermine
More informationAPPROXIMATE SOLUTION FOR TRANSIENT HEAT TRANSFER IN STATIC TURBULENT HE II. B. Baudouy. CEA/Saclay, DSM/DAPNIA/STCM Gif-sur-Yvette Cedex, France
APPROXIMAE SOLUION FOR RANSIEN HEA RANSFER IN SAIC URBULEN HE II B. Bauouy CEA/Saclay, DSM/DAPNIA/SCM 91191 Gif-sur-Yvette Ceex, France ABSRAC Analytical solution in one imension of the heat iffusion equation
More informationQubit channels that achieve capacity with two states
Qubit channels that achieve capacity with two states Dominic W. Berry Department of Physics, The University of Queenslan, Brisbane, Queenslan 4072, Australia Receive 22 December 2004; publishe 22 March
More informationPhysics 5153 Classical Mechanics. The Virial Theorem and The Poisson Bracket-1
Physics 5153 Classical Mechanics The Virial Theorem an The Poisson Bracket 1 Introuction In this lecture we will consier two applications of the Hamiltonian. The first, the Virial Theorem, applies to systems
More information1 Heisenberg Representation
1 Heisenberg Representation What we have been ealing with so far is calle the Schröinger representation. In this representation, operators are constants an all the time epenence is carrie by the states.
More informationOn conditional moments of high-dimensional random vectors given lower-dimensional projections
Submitte to the Bernoulli arxiv:1405.2183v2 [math.st] 6 Sep 2016 On conitional moments of high-imensional ranom vectors given lower-imensional projections LUKAS STEINBERGER an HANNES LEEB Department of
More informationPermanent vs. Determinant
Permanent vs. Determinant Frank Ban Introuction A major problem in theoretical computer science is the Permanent vs. Determinant problem. It asks: given an n by n matrix of ineterminates A = (a i,j ) an
More informationPolynomial Inclusion Functions
Polynomial Inclusion Functions E. e Weert, E. van Kampen, Q. P. Chu, an J. A. Muler Delft University of Technology, Faculty of Aerospace Engineering, Control an Simulation Division E.eWeert@TUDelft.nl
More informationThe effect of dissipation on solutions of the complex KdV equation
Mathematics an Computers in Simulation 69 (25) 589 599 The effect of issipation on solutions of the complex KV equation Jiahong Wu a,, Juan-Ming Yuan a,b a Department of Mathematics, Oklahoma State University,
More informationCHAPTER 1 : DIFFERENTIABLE MANIFOLDS. 1.1 The definition of a differentiable manifold
CHAPTER 1 : DIFFERENTIABLE MANIFOLDS 1.1 The efinition of a ifferentiable manifol Let M be a topological space. This means that we have a family Ω of open sets efine on M. These satisfy (1), M Ω (2) the
More informationTractability results for weighted Banach spaces of smooth functions
Tractability results for weighte Banach spaces of smooth functions Markus Weimar Mathematisches Institut, Universität Jena Ernst-Abbe-Platz 2, 07740 Jena, Germany email: markus.weimar@uni-jena.e March
More informationTEMPORAL AND TIME-FREQUENCY CORRELATION-BASED BLIND SOURCE SEPARATION METHODS. Yannick DEVILLE
TEMPORAL AND TIME-FREQUENCY CORRELATION-BASED BLIND SOURCE SEPARATION METHODS Yannick DEVILLE Université Paul Sabatier Laboratoire Acoustique, Métrologie, Instrumentation Bât. 3RB2, 8 Route e Narbonne,
More information2Algebraic ONLINE PAGE PROOFS. foundations
Algebraic founations. Kick off with CAS. Algebraic skills.3 Pascal s triangle an binomial expansions.4 The binomial theorem.5 Sets of real numbers.6 Surs.7 Review . Kick off with CAS Playing lotto Using
More informationAgmon Kolmogorov Inequalities on l 2 (Z d )
Journal of Mathematics Research; Vol. 6, No. ; 04 ISSN 96-9795 E-ISSN 96-9809 Publishe by Canaian Center of Science an Eucation Agmon Kolmogorov Inequalities on l (Z ) Arman Sahovic Mathematics Department,
More informationIntroduction to Markov Processes
Introuction to Markov Processes Connexions moule m44014 Zzis law Gustav) Meglicki, Jr Office of the VP for Information Technology Iniana University RCS: Section-2.tex,v 1.24 2012/12/21 18:03:08 gustav
More informationMath Notes on differentials, the Chain Rule, gradients, directional derivative, and normal vectors
Math 18.02 Notes on ifferentials, the Chain Rule, graients, irectional erivative, an normal vectors Tangent plane an linear approximation We efine the partial erivatives of f( xy, ) as follows: f f( x+
More informationCalculus of Variations
Calculus of Variations Lagrangian formalism is the main tool of theoretical classical mechanics. Calculus of Variations is a part of Mathematics which Lagrangian formalism is base on. In this section,
More informationA Spectral Method for the Biharmonic Equation
A Spectral Metho for the Biharmonic Equation Kenall Atkinson, Davi Chien, an Olaf Hansen Abstract Let Ω be an open, simply connecte, an boune region in Ê,, with a smooth bounary Ω that is homeomorphic
More informationProof of SPNs as Mixture of Trees
A Proof of SPNs as Mixture of Trees Theorem 1. If T is an inuce SPN from a complete an ecomposable SPN S, then T is a tree that is complete an ecomposable. Proof. Argue by contraiction that T is not a
More informationOptimal CDMA Signatures: A Finite-Step Approach
Optimal CDMA Signatures: A Finite-Step Approach Joel A. Tropp Inst. for Comp. Engr. an Sci. (ICES) 1 University Station C000 Austin, TX 7871 jtropp@ices.utexas.eu Inerjit. S. Dhillon Dept. of Comp. Sci.
More informationGeneralizing Kronecker Graphs in order to Model Searchable Networks
Generalizing Kronecker Graphs in orer to Moel Searchable Networks Elizabeth Boine, Babak Hassibi, Aam Wierman California Institute of Technology Pasaena, CA 925 Email: {eaboine, hassibi, aamw}@caltecheu
More informationON ISENTROPIC APPROXIMATIONS FOR COMPRESSIBLE EULER EQUATIONS
ON ISENTROPIC APPROXIMATIONS FOR COMPRESSILE EULER EQUATIONS JUNXIONG JIA AND RONGHUA PAN Abstract. In this paper, we first generalize the classical results on Cauchy problem for positive symmetric quasilinear
More informationHomework 3 - Solutions
Homework 3 - Solutions The Transpose an Partial Transpose. 1 Let { 1, 2,, } be an orthonormal basis for C. The transpose map efine with respect to this basis is a superoperator Γ that acts on an operator
More information