Improved Perfectly Matched Layers for Acoustic Radiation and Scattering Problems
|
|
- Magdalene Morgan
- 5 years ago
- Views:
Transcription
1 Excerpt from the Proceedigs of the COMSOL Coferece 2008 Haover Improved Perfectly Matched Layers for Acoustic Radiatio ad Scatterig Problems Mario Zampolli *,1, Nils Malm 2, Alessadra Tesei 1 1 NURC NATO Research Cetre, La Spezia (Italy), 2 COMSOL AB, Stockholm (Swede), *Correspodig author: Viale Sa Bartolomeo 400, La Spezia, Italy, zampolli@urc.ato.it Abstract: Perfectly matched layers (PML) are a efficiet alterative for emulatig the Sommerfeld radiatio coditio i the umerical solutio of wave radiatio ad scatterig problems. The key igrediet of the PML formulatio is the complex scalig fuctio, which cotrols the aisotropic dampig of the PML. The objective of this study is to propose a modified complex scalig fuctio capable of providig the user with two advatages: (i) miimizatio of the spurious reflectios at the physical domai-pml iterface for propagatig ad evaescet fields at all agles of icidece ad (ii) stability with respect to the frequecy parameter (which reduces the meshig effort i broadbad applicatios). Numerical results are preseted for radiatio from a circular pisto ad for scatterig from a rigid sphere. Overall, the modified formulatio is more stable at lower frequecies, while some potetial difficulties arisig i high-frequecy radiatio problems remai to be addressed. Keywords: acoustics, radiatio, scatterig, perfectly matched layers, waves. 1. Itroductio The capability of emulatig the Sommerfeld radiatio coditio, which requires that outgoig waves propagate out towards ifiity i the absece of reflectig boudaries, is a critical compoet of ay umerical code cocered with the solutio of wave problems. For tools based o bouded computatioal domais, such as fiite-elemet tools, the fiite-sized computatioal regio is trucated by a outer boudary. This boudary represets the ideal iterface betwee the fiite regio, modeled by the computatioal domai, ad the surroudig ifiite medium. I order to satisfy the radiatio boudary coditio, outgoig waves must traverse such a ideal boudary without beig reflected. Oe method for defiig o-reflectig boudaries cosists of surroudig the fiite computatioal regio with a perfectly matched layer (PML). The PML is a o-physical layer, iside which the wave equatio has bee modified with a aisotropic dampig, which icreases with distace i the directio perpedicular to the iterface with the physical domai. The result is that waves eterig the PML are absorbed oly i the outgoig directio, while the wave compoets tagetial to the iterface betwee the physical domai ad the PML remai uaffected. This approach was itroduced origially by Béreger [1] i 1994 for electromagetic waves. Reviews of PML research, with a particular emphasis o acoustics, ca be foud for example i Refereces [2] ad [3]. The mai advatages of the PML formulatio, compared to other umerical radiatio boudary coditios, are the relatively straightforward implemetatio via a complex coordiate scalig, ad the adaptability to geeric covex boudaries [3, 4]. This makes it possible to miimize the size of the computatioal domai, particularly i those cases where the physical domai caot be circumscribed easily by spheroids or similar shapes, which are usually required by other umerical radiatio boudary coditios like Dirichlet-to-Neuma maps or ifiite elemets. Oe major difficulty associated with PML formulatios is the choice of the scalig fuctio, which defies the absorptio of the outgoig waves i the PML. I Sectio 2 it is show how the scalig fuctio proposed i Ref. [3], ad the correspodig versios implemeted i Comsol [5], suffer from iaccuracies at very low frequecies (ka << 1, where k is the acoustic wave umber ad a is a characteristic size of the computatioal domai). The source of the iaccuracies lies i the discretizatio of the evaescet wave field compoets, which decay steeply iside the PML. Examples are provided for two differet test problems: radiatio from a baffled rigid circular pisto, ad plae wave scatterig from a rigid sphere. A modificatio to the scalig strategies of Refs. [3, 5] is proposed i Sec. 3. The ew PML formulatio is more accurate at the low to mid
2 frequecies, compared to the scaligs of Refs. [3, 5], while the high-frequecy performace for radiatio problems requires some further work. 2. Iaccuracies at low frequecies, caused by the evaescet wave-field A aalysis of the plae-wave dampig i a fiite-thickess PML shows that a oewavelegth thick PML, defied as i Refs. [3, 5], reduces spurious reflectios to about -100dB relative to the outgoig wave. The cotiuous aalysis also shows that evaescet waves, which are aturally decayig, are absorbed eve more strogly, depedig o the expoet of the evaescet wave (Fig. 4 i Ref. 3). O the other had, discretizatio problems arise with the strogly evaescet wave-field at very low frequecies. 2.1 Radiatio from a baffled pisto The first test problem to illustrate the difficulties of discretizig the evaescet wave field at low frequecies is that of the radiatio from a baffled rigid circular pisto (Fig. 1). Figure 2. Soud pressure level o the axis at a distace of 0.1a. Note the slight deviatio of the COMSOL solutio from the referece at ka<0.1. I the figure, results for the PML with quadratic scalig [5] ad 12 layers of quadratic elemets are compared to a aalytical referece solutio (Eq , Ref. 6) i the frequecy bad ka = The agreemet betwee the umerical result ad the referece solutio is good at high frequecies, while errors are visible below ka=0.1. The problems at low ka are more visible i Fig. 3, showig the relative error i the pressure at a/10 for a umber of differet meshes. Figure 1. Pisto model geometry ad mid-resolutio mesh with the physical domai i the lower left corer, surrouded by PML domais. The pisto radius is a, ad the costat acceleratio o the pisto face is set to a omial value of c 2 /a, with c beig the speed of soud. The acoustic pressure, sampled at a/10 distace from the ceter of the pisto alog the axis of symmetry, is plotted as a fuctio of the odimesioal wave umber ka i Fig. 2. Figure 3. Logarithmic plot of the relative error as fuctio of ka for PMLs with 3, 6, ad 12 layers of quadratic elemets.
3 2.2 Scatterig from a rigid sphere Similar discretizatio errors as those ecoutered i the pisto radiatio problem occur also i scatterig problems. As a example, oe ca study the axisymmetric scatterig of a uit-amplitude plae wave from a rigid sphere (Fig. 4). Figure 6. Relative error as a fuctio of ka, for PMLs with 3, 6, ad 12 layers of quadratic elemets (logarithmic scale). The error is >10% at ka<0.1, also for the fier meshes. Figure 4. The rigid sphere is modeled with a PML i direct cotact with the surface, here show with a lowresolutio mesh. I Fig. 5, the backscattered pressure, sampled o the surface of the sphere, is plotted as a fuctio of ka, with a represetig the radius of the sphere. Also i this case, the agreemet with a aalytical referece solutio, obtaied from a spherical harmoic series represetatio [7], is very good at the higher frequecies, while discretizatio errors similar to those show i Fig. 3 appear at the lower frequecies (Fig. 6). 3. Modified PML scalig Oe way i which PML s ca be defied is via a complex-valued chage of coordiates [4]. I this paper, the stadard approach is modified by defiig a complex PML coordiate, i which the real ad the imagiary part are scaled separately. The correspodig coordiate trasformatio, illustrated here for a PML which absorbs waves i the x-directio, is defied by i s x = + + d pml ( s) x0 xr ( s) σ ( s ) s ω x0 where s=(x-x 0 )/(x 1 -x 0 ) is the dimesioless distace across the PML i the directio ormal to the iterface with the physical domai. This iterface is located at x 0, while x 1 deotes the outer boudary of the PML. Desigig a efficiet PML requires a careful choice of the dampig fuctio σ ad of the real part scalig fuctio, x r. 3.1 Ubouded scalig fuctios Figure 5. Backscatter soud pressure level sampled o the surface of the sphere. A straightforward plae-wave aalysis shows that for propagatig waves, the imagiary part of the scaled coordiate is resposible for the dampig of the outward travellig wave, while the real part of the scaled coordiate affects the oscillatio of the solutio iside the PML. I the cotiuous aalysis, it ca therefore be show [2] that a rapidly growig imagiary part of the
4 scaled coordiate leads to a efficiet PML. The scalig of the real part does ot affect the dampig of the propagatig wave compoets. Based o this observatio, Bermudez et al. suggest a dampig fuctio σ proportioal to 1/(x 1 -x), which correspods to a imagiary part of the scalig fuctio x pml proportioal to the logarithm of (1-s). This leads to a PML formulatio which is perfectly oreflectig for propagatig waves, provided that the mesh resolutio ca be icreased arbitrarily. 3.2 Low-ka correctios A similar aalysis applied to evaescet waves shows that the decay of the wave iside the PML is affected by the real part of the scalig fuctio, while the imagiary part of the scalig gives rise to spurious ati-causal waves which must be absorbed to avoid errors i the solutio. Hece, it is to be expected that the real part of the scalig fuctio, x r, becomes importat whe the features of the particular problem iduce substatial evaescet compoets. I particular, this teds to happe at low ka, where the PML eeds to resolve details o the geometry scale, a, ad the wave scale, 1/k, simultaeously. Ay fiite elemet implemetatio of a PML by defiitio has a limited resolutio, which is quatified i this paper by the umber of elemet layers through the PML thickess. Choosig a efficiet scalig fuctio for low ka requires distributig the available resolutio betwee the differet scales i the pressure field. A scalig whose real ad imagiary parts grow slowly as fuctios of the odimesioal PML coordiate, s, effectively moves the ier elemet layers closer to the physical domai, thereby icreasig the resolutio of the short scales. The errors at low ka, illustrated i Sectio 2, are caused by the scalig described i [3,5] ad built ito COMSOL Multiphysics: c x = x + (1 i) pml 0 s f with =2. This scalig does ot supply sufficiet resolutio to the rapidly decayig compoets of the wave field. Icreasig the expoet improves the result for low ka, but teds to decrease the accuracy for medium to high frequecies, sice the resolutio power at the propagatig wave scale decreases i this case. 3.3 A combied approach The above observatios suggest a scalig fuctio which combies the beefits of the polyomial, wavelegth-idepedet scalig of [3,5], but ehaced with a ka-depedet expoet, with the ubouded imagiary part suggested by Bermudez et al. [2]. Numerical experimets suggest the form c r xpml = x0 + A ( s + i log 2 ( 1 s ) i f where 1 log10 ka, ka < 1 r = 1, ka 1 ka 1 log < = 10, ka 10 i 10 1, ka 10 ad A=0.25 is a weakly problem-depedet parameter. 4. Numerical experimets The suggested scalig fuctio was implemeted as a User defied PML scalig i the COMSOL Multiphysics Acoustics Module. A structured mesh like the oes show i Fig. 1 ad 3 was used i all cases, together with secod order Lagrage shape fuctios. For the baffled pisto, a combiatio of a cylidrical PML i the radial directio ad a Cartesia PML i the axial directio was chose. As Fig. 7 shows, the suggested scalig fuctio ca produce a cosistetly accurate solutio for low to medium frequecies. Comparig to the scalig suggested by [3,5], the proposed method gives almost a order of magitude smaller error at the same computatioal cost for ka<10.
5 Figure 7. For the pisto problem, the suggested scalig fuctio reduces the error at low to mid frequecies cosiderably. Note, however, the rapid growth of the relative error above ka=10 for the ew scalig ad 6 elemet layers. However, for ka>10, the relative error grows rapidly with icreasig frequecy ad i the regio 10<ka<20 it exceeds the error produced by the stadard scalig by a order of magitude. A more detailed aalysis of the frequecy bad 10<ka<200 shows that the error usig COMSOL s stadard PMLs starts to icrease rapidly aroud ka=30 ad from there follows the same tred as the error produced usig the modified scalig suggested here. The authors believe that these errors are caused by evaescet wave field compoets with wavelegths larger tha c/f. The dampig of such waves is limited by the maximum value of the real part of the scalig fuctio, which is equal to A i the proposed scalig, but equal to 1 for the polyomial scalig. Iitial experimets support this reasoig, showig that icreasig A moves the poit where the error starts to rise towards higher ka. The results from the scatterig case, show i Fig. 8, are uambiguous. The suggested scalig performs better tha the stadard fixedexpoet polyomial scalig over the etire frequecy rage. I particular, the error obtaied with oly 3 elemet layers is well below 1% for ka>1. Figure 8. For the scatterig problem, the suggested scalig ad 3 elemet layers produces results comparable to the =2 polyomial scalig with 6 layers. 5. Coclusios The suggested combied scalig approach promises higher accuracy at lower computatioal cost for geeral simulatios with low to moderate ka, as well as for higher-frequecy scatterig problems. Further research is eeded to detect a priori which problems require a larger real part of the scalig fuctio. The possibility of a frequecy-adaptive or ubouded scalig of the real part is also beig cosidered as a possibility for future work. 6. Refereces 1. J.P. Béreger, A perfectly matched layer for the absorptio of electromagetic waves, J. Comput. Phys., 114, (1994). 2. A. Bermudez, L. Hervella-Nieto, A. Prieto, R. Rodriguez, A optimal perfectly matched layer with ubouded absorbig fuctio for timeharmoic acoustic scatterig problems, J. Comput.Phys., 223, , (2007). 3. M. Zampolli, A. Tesei, F.B. Jese, N. Malm, J.B. Blottma, A computatioally efficiet fiite elemet model with perfectly matched layers applied to scatterig from axially symmetric objects, J. Acoust. Soc. Am., 122, (2007).
6 4. F. Collio ad P. Mok, The perfectly matched layer i curviliear coordiates, SIAM J. Sci. Comput., 19, (1998). 5.COMSOL AB, Comsol Multiphysics Acoustics Module, User s Maual, (2007). 6. A.D. Pierce, Acoustics A Itroductio to Its Physical Priciples ad Applicatios, Acoustical Society of America, Melville NY (1991). 7. J.J. Bowma, T.B.A. Seior, P.L.E. Usleghi, Electromagetic ad Acoustic Scatterig by Simple Shapes, North-Hollad Publ. Co. (1969).
The z-transform. 7.1 Introduction. 7.2 The z-transform Derivation of the z-transform: x[n] = z n LTI system, h[n] z = re j
The -Trasform 7. Itroductio Geeralie the complex siusoidal represetatio offered by DTFT to a represetatio of complex expoetial sigals. Obtai more geeral characteristics for discrete-time LTI systems. 7.
More informationChapter 7: The z-transform. Chih-Wei Liu
Chapter 7: The -Trasform Chih-Wei Liu Outlie Itroductio The -Trasform Properties of the Regio of Covergece Properties of the -Trasform Iversio of the -Trasform The Trasfer Fuctio Causality ad Stability
More informationSECTION 2 Electrostatics
SECTION Electrostatics This sectio, based o Chapter of Griffiths, covers effects of electric fields ad forces i static (timeidepedet) situatios. The topics are: Electric field Gauss s Law Electric potetial
More informationProblem Cosider the curve give parametrically as x = si t ad y = + cos t for» t» ß: (a) Describe the path this traverses: Where does it start (whe t =
Mathematics Summer Wilso Fial Exam August 8, ANSWERS Problem 1 (a) Fid the solutio to y +x y = e x x that satisfies y() = 5 : This is already i the form we used for a first order liear differetial equatio,
More information3. Z Transform. Recall that the Fourier transform (FT) of a DT signal xn [ ] is ( ) [ ] = In order for the FT to exist in the finite magnitude sense,
3. Z Trasform Referece: Etire Chapter 3 of text. Recall that the Fourier trasform (FT) of a DT sigal x [ ] is ω ( ) [ ] X e = j jω k = xe I order for the FT to exist i the fiite magitude sese, S = x [
More informationJournal of Computational Physics 149, (1999) Article ID jcph , available online at
Joural of Computatioal Physics 149, 418 422 (1999) Article ID jcph.1998.6131, available olie at http://www.idealibrary.com o NOTE Defiig Wave Amplitude i Characteristic Boudary Coditios Key Words: Euler
More informationCO-LOCATED DIFFUSE APPROXIMATION METHOD FOR TWO DIMENSIONAL INCOMPRESSIBLE CHANNEL FLOWS
CO-LOCATED DIFFUSE APPROXIMATION METHOD FOR TWO DIMENSIONAL INCOMPRESSIBLE CHANNEL FLOWS C.PRAX ad H.SADAT Laboratoire d'etudes Thermiques,URA CNRS 403 40, Aveue du Recteur Pieau 86022 Poitiers Cedex,
More informationElectromagnetic wave propagation in Particle-In-Cell codes
Electromagetic wave propagatio i Particle-I-Cell codes Remi Lehe Lawrece Berkeley Natioal Laboratory (LBNL) US Particle Accelerator School (USPAS) Summer Sessio Self-Cosistet Simulatios of Beam ad Plasma
More informationChapter 7 z-transform
Chapter 7 -Trasform Itroductio Trasform Uilateral Trasform Properties Uilateral Trasform Iversio of Uilateral Trasform Determiig the Frequecy Respose from Poles ad Zeros Itroductio Role i Discrete-Time
More informationDiscrete Orthogonal Moment Features Using Chebyshev Polynomials
Discrete Orthogoal Momet Features Usig Chebyshev Polyomials R. Mukuda, 1 S.H.Og ad P.A. Lee 3 1 Faculty of Iformatio Sciece ad Techology, Multimedia Uiversity 75450 Malacca, Malaysia. Istitute of Mathematical
More information(A sequence also can be thought of as the list of function values attained for a function f :ℵ X, where f (n) = x n for n 1.) x 1 x N +k x N +4 x 3
MATH 337 Sequeces Dr. Neal, WKU Let X be a metric space with distace fuctio d. We shall defie the geeral cocept of sequece ad limit i a metric space, the apply the results i particular to some special
More informationFluid Physics 8.292J/12.330J % (1)
Fluid Physics 89J/133J Problem Set 5 Solutios 1 Cosider the flow of a Euler fluid i the x directio give by for y > d U = U y 1 d for y d U + y 1 d for y < This flow does ot vary i x or i z Determie the
More information(c) Write, but do not evaluate, an integral expression for the volume of the solid generated when R is
Calculus BC Fial Review Name: Revised 7 EXAM Date: Tuesday, May 9 Remiders:. Put ew batteries i your calculator. Make sure your calculator is i RADIAN mode.. Get a good ight s sleep. Eat breakfast. Brig:
More informationRay Optics Theory and Mode Theory. Dr. Mohammad Faisal Dept. of EEE, BUET
Ray Optics Theory ad Mode Theory Dr. Mohammad Faisal Dept. of, BUT Optical Fiber WG For light to be trasmitted through fiber core, i.e., for total iteral reflectio i medium, > Ray Theory Trasmissio Ray
More informationFormation of A Supergain Array and Its Application in Radar
Formatio of A Supergai Array ad ts Applicatio i Radar Tra Cao Quye, Do Trug Kie ad Bach Gia Duog. Research Ceter for Electroic ad Telecommuicatios, College of Techology (Coltech, Vietam atioal Uiversity,
More informationPHYS-3301 Lecture 7. CHAPTER 4 Structure of the Atom. Rutherford Scattering. Sep. 18, 2018
CHAPTER 4 Structure of the Atom PHYS-3301 Lecture 7 4.1 The Atomic Models of Thomso ad Rutherford 4.2 Rutherford Scatterig 4.3 The Classic Atomic Model 4.4 The Bohr Model of the Hydroge Atom 4.5 Successes
More informationBeurling Integers: Part 2
Beurlig Itegers: Part 2 Isomorphisms Devi Platt July 11, 2015 1 Prime Factorizatio Sequeces I the last article we itroduced the Beurlig geeralized itegers, which ca be represeted as a sequece of real umbers
More informationMeasurement uncertainty of the sound absorption
Measuremet ucertaity of the soud absorptio coefficiet Aa Izewska Buildig Research Istitute, Filtrowa Str., 00-6 Warsaw, Polad a.izewska@itb.pl 6887 The stadard ISO/IEC 705:005 o the competece of testig
More informationExpectation and Variance of a random variable
Chapter 11 Expectatio ad Variace of a radom variable The aim of this lecture is to defie ad itroduce mathematical Expectatio ad variace of a fuctio of discrete & cotiuous radom variables ad the distributio
More informationInfinite Sequences and Series
Chapter 6 Ifiite Sequeces ad Series 6.1 Ifiite Sequeces 6.1.1 Elemetary Cocepts Simply speakig, a sequece is a ordered list of umbers writte: {a 1, a 2, a 3,...a, a +1,...} where the elemets a i represet
More information6.003 Homework #3 Solutions
6.00 Homework # Solutios Problems. Complex umbers a. Evaluate the real ad imagiary parts of j j. π/ Real part = Imagiary part = 0 e Euler s formula says that j = e jπ/, so jπ/ j π/ j j = e = e. Thus the
More information6.1 Analysis of frequency selective surfaces
6.1 Aalysis of frequecy selective surfaces Basic theory I this paragraph, reflectio coefficiet ad trasmissio coefficiet are computed for a ifiite periodic frequecy selective surface. The attetio is tured
More information2.004 Dynamics and Control II Spring 2008
MIT OpeCourseWare http://ocw.mit.edu 2.004 Dyamics ad Cotrol II Sprig 2008 For iformatio about citig these materials or our Terms of Use, visit: http://ocw.mit.edu/terms. Massachusetts Istitute of Techology
More informationThe Method of Least Squares. To understand least squares fitting of data.
The Method of Least Squares KEY WORDS Curve fittig, least square GOAL To uderstad least squares fittig of data To uderstad the least squares solutio of icosistet systems of liear equatios 1 Motivatio Curve
More informationMechatronics. Time Response & Frequency Response 2 nd -Order Dynamic System 2-Pole, Low-Pass, Active Filter
Time Respose & Frequecy Respose d -Order Dyamic System -Pole, Low-Pass, Active Filter R 4 R 7 C 5 e i R 1 C R 3 - + R 6 - + e out Assigmet: Perform a Complete Dyamic System Ivestigatio of the Two-Pole,
More informationIntroduction to Signals and Systems, Part V: Lecture Summary
EEL33: Discrete-Time Sigals ad Systems Itroductio to Sigals ad Systems, Part V: Lecture Summary Itroductio to Sigals ad Systems, Part V: Lecture Summary So far we have oly looked at examples of o-recursive
More informationAnalysis of composites with multiple rigid-line reinforcements by the BEM
Aalysis of composites with multiple rigid-lie reiforcemets by the BEM Piotr Fedeliski* Departmet of Stregth of Materials ad Computatioal Mechaics, Silesia Uiversity of Techology ul. Koarskiego 18A, 44-100
More informationAnalytic Continuation
Aalytic Cotiuatio The stadard example of this is give by Example Let h (z) = 1 + z + z 2 + z 3 +... kow to coverge oly for z < 1. I fact h (z) = 1/ (1 z) for such z. Yet H (z) = 1/ (1 z) is defied for
More informationApply change-of-basis formula to rewrite x as a linear combination of eigenvectors v j.
Eigevalue-Eigevector Istructor: Nam Su Wag eigemcd Ay vector i real Euclidea space of dimesio ca be uiquely epressed as a liear combiatio of liearly idepedet vectors (ie, basis) g j, j,,, α g α g α g α
More informationΩ ). Then the following inequality takes place:
Lecture 8 Lemma 5. Let f : R R be a cotiuously differetiable covex fuctio. Choose a costat δ > ad cosider the subset Ωδ = { R f δ } R. Let Ωδ ad assume that f < δ, i.e., is ot o the boudary of f = δ, i.e.,
More informationMTH Assignment 1 : Real Numbers, Sequences
MTH -26 Assigmet : Real Numbers, Sequeces. Fid the supremum of the set { m m+ : N, m Z}. 2. Let A be a o-empty subset of R ad α R. Show that α = supa if ad oly if α is ot a upper boud of A but α + is a
More informationTHE KALMAN FILTER RAUL ROJAS
THE KALMAN FILTER RAUL ROJAS Abstract. This paper provides a getle itroductio to the Kalma filter, a umerical method that ca be used for sesor fusio or for calculatio of trajectories. First, we cosider
More informationRandom Variables, Sampling and Estimation
Chapter 1 Radom Variables, Samplig ad Estimatio 1.1 Itroductio This chapter will cover the most importat basic statistical theory you eed i order to uderstad the ecoometric material that will be comig
More informationStreamfunction-Vorticity Formulation
Streamfuctio-Vorticity Formulatio A. Salih Departmet of Aerospace Egieerig Idia Istitute of Space Sciece ad Techology, Thiruvaathapuram March 2013 The streamfuctio-vorticity formulatio was amog the first
More informationFilter banks. Separately, the lowpass and highpass filters are not invertible. removes the highest frequency 1/ 2and
Filter bas Separately, the lowpass ad highpass filters are ot ivertible T removes the highest frequecy / ad removes the lowest frequecy Together these filters separate the sigal ito low-frequecy ad high-frequecy
More informationPAPER : IIT-JAM 2010
MATHEMATICS-MA (CODE A) Q.-Q.5: Oly oe optio is correct for each questio. Each questio carries (+6) marks for correct aswer ad ( ) marks for icorrect aswer.. Which of the followig coditios does NOT esure
More informationMicroscopic Theory of Transport (Fall 2003) Lecture 6 (9/19/03) Static and Short Time Properties of Time Correlation Functions
.03 Microscopic Theory of Trasport (Fall 003) Lecture 6 (9/9/03) Static ad Short Time Properties of Time Correlatio Fuctios Refereces -- Boo ad Yip, Chap There are a umber of properties of time correlatio
More informationCHAPTER NINE. Frequency Response Methods
CHAPTER NINE 9. Itroductio It as poited earlier that i practice the performace of a feedback cotrol system is more preferably measured by its time - domai respose characteristics. This is i cotrast to
More informationA PROCEDURE TO MODIFY THE FREQUENCY AND ENVELOPE CHARACTERISTICS OF EMPIRICAL GREEN'S FUNCTION. Lin LU 1 SUMMARY
A POCEDUE TO MODIFY THE FEQUENCY AND ENVELOPE CHAACTEISTICS OF EMPIICAL GEEN'S FUNCTION Li LU SUMMAY Semi-empirical method, which divides the fault plae of large earthquake ito mets ad uses small groud
More informationZ ß cos x + si x R du We start with the substitutio u = si(x), so du = cos(x). The itegral becomes but +u we should chage the limits to go with the ew
Problem ( poits) Evaluate the itegrals Z p x 9 x We ca draw a right triagle labeled this way x p x 9 From this we ca read off x = sec, so = sec ta, ad p x 9 = R ta. Puttig those pieces ito the itegralrwe
More informationKinetics of Complex Reactions
Kietics of Complex Reactios by Flick Colema Departmet of Chemistry Wellesley College Wellesley MA 28 wcolema@wellesley.edu Copyright Flick Colema 996. All rights reserved. You are welcome to use this documet
More informationChapter 1. Complex Numbers. Dr. Pulak Sahoo
Chapter 1 Complex Numbers BY Dr. Pulak Sahoo Assistat Professor Departmet of Mathematics Uiversity Of Kalyai West Begal, Idia E-mail : sahoopulak1@gmail.com 1 Module-2: Stereographic Projectio 1 Euler
More informationMachine Learning for Data Science (CS 4786)
Machie Learig for Data Sciece CS 4786) Lecture & 3: Pricipal Compoet Aalysis The text i black outlies high level ideas. The text i blue provides simple mathematical details to derive or get to the algorithm
More informationFIR Filter Design: Part II
EEL335: Discrete-Time Sigals ad Systems. Itroductio I this set of otes, we cosider how we might go about desigig FIR filters with arbitrary frequecy resposes, through compositio of multiple sigle-peak
More information62. Power series Definition 16. (Power series) Given a sequence {c n }, the series. c n x n = c 0 + c 1 x + c 2 x 2 + c 3 x 3 +
62. Power series Defiitio 16. (Power series) Give a sequece {c }, the series c x = c 0 + c 1 x + c 2 x 2 + c 3 x 3 + is called a power series i the variable x. The umbers c are called the coefficiets of
More informationChapter 8. DFT : The Discrete Fourier Transform
Chapter 8 DFT : The Discrete Fourier Trasform Roots of Uity Defiitio: A th root of uity is a complex umber x such that x The th roots of uity are: ω, ω,, ω - where ω e π /. Proof: (ω ) (e π / ) (e π )
More informationEE / EEE SAMPLE STUDY MATERIAL. GATE, IES & PSUs Signal System. Electrical Engineering. Postal Correspondence Course
Sigal-EE Postal Correspodece Course 1 SAMPLE STUDY MATERIAL Electrical Egieerig EE / EEE Postal Correspodece Course GATE, IES & PSUs Sigal System Sigal-EE Postal Correspodece Course CONTENTS 1. SIGNAL
More information17 Phonons and conduction electrons in solids (Hiroshi Matsuoka)
7 Phoos ad coductio electros i solids Hiroshi Matsuoa I this chapter we will discuss a miimal microscopic model for phoos i a solid ad a miimal microscopic model for coductio electros i a simple metal.
More informationAssignment 1 : Real Numbers, Sequences. for n 1. Show that (x n ) converges. Further, by observing that x n+2 + x n+1
Assigmet : Real Numbers, Sequeces. Let A be a o-empty subset of R ad α R. Show that α = supa if ad oly if α is ot a upper boud of A but α + is a upper boud of A for every N. 2. Let y (, ) ad x (, ). Evaluate
More informationROSE WONG. f(1) f(n) where L the average value of f(n). In this paper, we will examine averages of several different arithmetic functions.
AVERAGE VALUES OF ARITHMETIC FUNCTIONS ROSE WONG Abstract. I this paper, we will preset problems ivolvig average values of arithmetic fuctios. The arithmetic fuctios we discuss are: (1)the umber of represetatios
More informationTrue Nature of Potential Energy of a Hydrogen Atom
True Nature of Potetial Eergy of a Hydroge Atom Koshu Suto Key words: Bohr Radius, Potetial Eergy, Rest Mass Eergy, Classical Electro Radius PACS codes: 365Sq, 365-w, 33+p Abstract I cosiderig the potetial
More informationw (1) ˆx w (1) x (1) /ρ and w (2) ˆx w (2) x (2) /ρ.
2 5. Weighted umber of late jobs 5.1. Release dates ad due dates: maximimizig the weight of o-time jobs Oce we add release dates, miimizig the umber of late jobs becomes a sigificatly harder problem. For
More informationChapter 10: Power Series
Chapter : Power Series 57 Chapter Overview: Power Series The reaso series are part of a Calculus course is that there are fuctios which caot be itegrated. All power series, though, ca be itegrated because
More information( ) (( ) ) ANSWERS TO EXERCISES IN APPENDIX B. Section B.1 VECTORS AND SETS. Exercise B.1-1: Convex sets. are convex, , hence. and. (a) Let.
Joh Riley 8 Jue 03 ANSWERS TO EXERCISES IN APPENDIX B Sectio B VECTORS AND SETS Exercise B-: Covex sets (a) Let 0 x, x X, X, hece 0 x, x X ad 0 x, x X Sice X ad X are covex, x X ad x X The x X X, which
More informationNew Version of the Rayleigh Schrödinger Perturbation Theory: Examples
New Versio of the Rayleigh Schrödiger Perturbatio Theory: Examples MILOŠ KALHOUS, 1 L. SKÁLA, 1 J. ZAMASTIL, 1 J. ČÍŽEK 2 1 Charles Uiversity, Faculty of Mathematics Physics, Ke Karlovu 3, 12116 Prague
More informationComplex Algorithms for Lattice Adaptive IIR Notch Filter
4th Iteratioal Coferece o Sigal Processig Systems (ICSPS ) IPCSIT vol. 58 () () IACSIT Press, Sigapore DOI:.7763/IPCSIT..V58. Complex Algorithms for Lattice Adaptive IIR Notch Filter Hog Liag +, Nig Jia
More informationNumerical Conformal Mapping via a Fredholm Integral Equation using Fourier Method ABSTRACT INTRODUCTION
alaysia Joural of athematical Scieces 3(1): 83-93 (9) umerical Coformal appig via a Fredholm Itegral Equatio usig Fourier ethod 1 Ali Hassa ohamed urid ad Teh Yua Yig 1, Departmet of athematics, Faculty
More informationDefinition of z-transform.
- Trasforms Frequecy domai represetatios of discretetime sigals ad LTI discrete-time systems are made possible with the use of DTFT. However ot all discrete-time sigals e.g. uit step sequece are guarateed
More informationA PROOF OF THE TWIN PRIME CONJECTURE AND OTHER POSSIBLE APPLICATIONS
A PROOF OF THE TWI PRIME COJECTURE AD OTHER POSSIBLE APPLICATIOS by PAUL S. BRUCKMA 38 Frot Street, #3 aaimo, BC V9R B8 (Caada) e-mail : pbruckma@hotmail.com ABSTRACT : A elemetary proof of the Twi Prime
More informationAppendix: The Laplace Transform
Appedix: The Laplace Trasform The Laplace trasform is a powerful method that ca be used to solve differetial equatio, ad other mathematical problems. Its stregth lies i the fact that it allows the trasformatio
More informationNumerical Solution of the Two Point Boundary Value Problems By Using Wavelet Bases of Hermite Cubic Spline Wavelets
Australia Joural of Basic ad Applied Scieces, 5(): 98-5, ISSN 99-878 Numerical Solutio of the Two Poit Boudary Value Problems By Usig Wavelet Bases of Hermite Cubic Splie Wavelets Mehdi Yousefi, Hesam-Aldie
More informationHydrogen (atoms, molecules) in external fields. Static electric and magnetic fields Oscyllating electromagnetic fields
Hydroge (atoms, molecules) i exteral fields Static electric ad magetic fields Oscyllatig electromagetic fields Everythig said up to ow has to be modified more or less strogly if we cosider atoms (ad ios)
More informationOlli Simula T / Chapter 1 3. Olli Simula T / Chapter 1 5
Sigals ad Systems Sigals ad Systems Sigals are variables that carry iformatio Systemstake sigals as iputs ad produce sigals as outputs The course deals with the passage of sigals through systems T-6.4
More informationAlgebra of Least Squares
October 19, 2018 Algebra of Least Squares Geometry of Least Squares Recall that out data is like a table [Y X] where Y collects observatios o the depedet variable Y ad X collects observatios o the k-dimesioal
More informationMA131 - Analysis 1. Workbook 2 Sequences I
MA3 - Aalysis Workbook 2 Sequeces I Autum 203 Cotets 2 Sequeces I 2. Itroductio.............................. 2.2 Icreasig ad Decreasig Sequeces................ 2 2.3 Bouded Sequeces..........................
More informationADVANCED DIGITAL SIGNAL PROCESSING
ADVANCED DIGITAL SIGNAL PROCESSING PROF. S. C. CHAN (email : sccha@eee.hku.hk, Rm. CYC-702) DISCRETE-TIME SIGNALS AND SYSTEMS MULTI-DIMENSIONAL SIGNALS AND SYSTEMS RANDOM PROCESSES AND APPLICATIONS ADAPTIVE
More informationFortran codes for computing the acoustic field surrounding a vibrating plate by the Rayleigh integral method
Fortra codes for computig the acoustic field surroudig a vibratig plate by the Rayleigh itegral method STEPHEN KIRKUP East Lacashire Istitute of Higher Educatio Blacbur College Blacbur, Lacashire BB LH
More informationDefinitions and Theorems. where x are the decision variables. c, b, and a are constant coefficients.
Defiitios ad Theorems Remember the scalar form of the liear programmig problem, Miimize, Subject to, f(x) = c i x i a 1i x i = b 1 a mi x i = b m x i 0 i = 1,2,, where x are the decisio variables. c, b,
More informationChapter 6 Infinite Series
Chapter 6 Ifiite Series I the previous chapter we cosidered itegrals which were improper i the sese that the iterval of itegratio was ubouded. I this chapter we are goig to discuss a topic which is somewhat
More informationLecture 8: Solving the Heat, Laplace and Wave equations using finite difference methods
Itroductory lecture otes o Partial Differetial Equatios - c Athoy Peirce. Not to be copied, used, or revised without explicit writte permissio from the copyright ower. 1 Lecture 8: Solvig the Heat, Laplace
More informationTHE LEVEL SET METHOD APPLIED TO THREE-DIMENSIONAL DETONATION WAVE PROPAGATION. Wen Shanggang, Sun Chengwei, Zhao Feng, Chen Jun
THE LEVEL SET METHOD APPLIED TO THREE-DIMENSIONAL DETONATION WAVE PROPAGATION We Shaggag, Su Chegwei, Zhao Feg, Che Ju Laboratory for Shock Wave ad Detoatio Physics Research, Southwest Istitute of Fluid
More informationComplex Analysis Spring 2001 Homework I Solution
Complex Aalysis Sprig 2001 Homework I Solutio 1. Coway, Chapter 1, sectio 3, problem 3. Describe the set of poits satisfyig the equatio z a z + a = 2c, where c > 0 ad a R. To begi, we see from the triagle
More informationDamped Vibration of a Non-prismatic Beam with a Rotational Spring
Vibratios i Physical Systems Vol.6 (0) Damped Vibratio of a No-prismatic Beam with a Rotatioal Sprig Wojciech SOCHACK stitute of Mechaics ad Fudametals of Machiery Desig Uiversity of Techology, Czestochowa,
More informationFrequency Response of FIR Filters
EEL335: Discrete-Time Sigals ad Systems. Itroductio I this set of otes, we itroduce the idea of the frequecy respose of LTI systems, ad focus specifically o the frequecy respose of FIR filters.. Steady-state
More informationModule 18 Discrete Time Signals and Z-Transforms Objective: Introduction : Description: Discrete Time Signal representation
Module 8 Discrete Time Sigals ad Z-Trasforms Objective:To uderstad represetig discrete time sigals, apply z trasform for aalyzigdiscrete time sigals ad to uderstad the relatio to Fourier trasform Itroductio
More informationU8L1: Sec Equations of Lines in R 2
MCVU U8L: Sec. 8.9. Equatios of Lies i R Review of Equatios of a Straight Lie (-D) Cosider the lie passig through A (-,) with slope, as show i the diagram below. I poit slope form, the equatio of the lie
More informationChapter 9: Numerical Differentiation
178 Chapter 9: Numerical Differetiatio Numerical Differetiatio Formulatio of equatios for physical problems ofte ivolve derivatives (rate-of-chage quatities, such as velocity ad acceleratio). Numerical
More informationMa 530 Introduction to Power Series
Ma 530 Itroductio to Power Series Please ote that there is material o power series at Visual Calculus. Some of this material was used as part of the presetatio of the topics that follow. What is a Power
More informationMath 113 Exam 3 Practice
Math Exam Practice Exam will cover.-.9. This sheet has three sectios. The first sectio will remid you about techiques ad formulas that you should kow. The secod gives a umber of practice questios for you
More informationSalmon: Lectures on partial differential equations. 3. First-order linear equations as the limiting case of second-order equations
3. First-order liear equatios as the limitig case of secod-order equatios We cosider the advectio-diffusio equatio (1) v = 2 o a bouded domai, with boudary coditios of prescribed. The coefficiets ( ) (2)
More informationInformation-based Feature Selection
Iformatio-based Feature Selectio Farza Faria, Abbas Kazeroui, Afshi Babveyh Email: {faria,abbask,afshib}@staford.edu 1 Itroductio Feature selectio is a topic of great iterest i applicatios dealig with
More information6.3 Testing Series With Positive Terms
6.3. TESTING SERIES WITH POSITIVE TERMS 307 6.3 Testig Series With Positive Terms 6.3. Review of what is kow up to ow I theory, testig a series a i for covergece amouts to fidig the i= sequece of partial
More informationHARMONIC ANALYSIS FOR OPTICALLY MODULATING BODIES USING THE HARMONIC STRUCTURE FUNCTION (HSF) Lockheed Martin Hawaii
HARMONIC ANALYSIS FOR OPTICALLY MODULATING BODIES USING THE HARMONIC STRUCTURE FUNCTION (HSF) Dr. R. David Dikema Chief Scietist Mr. Scot Seto Chief Egieer Lockheed Marti Hawaii Abstract Lockheed Marti
More informationDeterministic Model of Multipath Fading for Circular and Parabolic Reflector Patterns
To appear i the Proceedigs of the 5 IEEE outheastco, (Ft. Lauderdale, FL), April 5 Determiistic Model of Multipath Fadig for Circular ad Parabolic Reflector Patters Dwight K. Hutcheso dhutche@clemso.edu
More informationAnalysis of MOS Capacitor Loaded Annular Ring MICROSTRIP Antenna
Iteratioal OPEN AESS Joural Of Moder Egieerig Research (IJMER Aalysis of MOS apacitor Loaded Aular Rig MIROSTRIP Atea Mohit Kumar, Suredra Kumar, Devedra Kumar 3, Ravi Kumar 4,, 3, 4 (Assistat Professor,
More informationTEACHER CERTIFICATION STUDY GUIDE
COMPETENCY 1. ALGEBRA SKILL 1.1 1.1a. ALGEBRAIC STRUCTURES Kow why the real ad complex umbers are each a field, ad that particular rigs are ot fields (e.g., itegers, polyomial rigs, matrix rigs) Algebra
More informationA New Recursion for Space-Filling Geometric Fractals
A New Recursio for Space-Fillig Geometric Fractals Joh Shier Abstract. A recursive two-dimesioal geometric fractal costructio based upo area ad perimeter is described. For circles the radius of the ext
More informationCharacterization of anisotropic acoustic metamaterials
INTER-NOISE 06 Characteriatio of aisotropic acoustic metamaterials Ju Hyeog PARK ; Hyug Ji LEE ; Yoo Youg KIM 3 Departmet of Mechaical ad Aerospace Egieerig, Seoul Natioal Uiversity, Korea Istitute of
More informationTR/46 OCTOBER THE ZEROS OF PARTIAL SUMS OF A MACLAURIN EXPANSION A. TALBOT
TR/46 OCTOBER 974 THE ZEROS OF PARTIAL SUMS OF A MACLAURIN EXPANSION by A. TALBOT .. Itroductio. A problem i approximatio theory o which I have recetly worked [] required for its solutio a proof that the
More informationA Recurrence Formula for Packing Hyper-Spheres
A Recurrece Formula for Packig Hyper-Spheres DokeyFt. Itroductio We cosider packig of -D hyper-spheres of uit diameter aroud a similar sphere. The kissig spheres ad the kerel sphere form cells of equilateral
More informationOptics. n n. sin. 1. law of rectilinear propagation 2. law of reflection = 3. law of refraction
Optics What is light? Visible electromagetic radiatio Geometrical optics (model) Light-ray: extremely thi parallel light beam Usig this model, the explaatio of several optical pheomea ca be give as the
More informationSequences I. Chapter Introduction
Chapter 2 Sequeces I 2. Itroductio A sequece is a list of umbers i a defiite order so that we kow which umber is i the first place, which umber is i the secod place ad, for ay atural umber, we kow which
More informationCALCULUS BASIC SUMMER REVIEW
CALCULUS BASIC SUMMER REVIEW NAME rise y y y Slope of a o vertical lie: m ru Poit Slope Equatio: y y m( ) The slope is m ad a poit o your lie is, ). ( y Slope-Itercept Equatio: y m b slope= m y-itercept=
More informationEXPERIMENT OF SIMPLE VIBRATION
EXPERIMENT OF SIMPLE VIBRATION. PURPOSE The purpose of the experimet is to show free vibratio ad damped vibratio o a system havig oe degree of freedom ad to ivestigate the relatioship betwee the basic
More informationThe Minimum Distance Energy for Polygonal Unknots
The Miimum Distace Eergy for Polygoal Ukots By:Johaa Tam Advisor: Rollad Trapp Abstract This paper ivestigates the eergy U MD of polygoal ukots It provides equatios for fidig the eergy for ay plaar regular
More informationPhysics 324, Fall Dirac Notation. These notes were produced by David Kaplan for Phys. 324 in Autumn 2001.
Physics 324, Fall 2002 Dirac Notatio These otes were produced by David Kapla for Phys. 324 i Autum 2001. 1 Vectors 1.1 Ier product Recall from liear algebra: we ca represet a vector V as a colum vector;
More informationREFLECTION AND REFRACTION
RFLCTON AND RFRACTON We ext ivestigate what happes whe a light ray movig i oe medium ecouters aother medium, i.e. the pheomea of reflectio ad refractio. We cosider a plae M wave strikig a plae iterface
More informationChapter 4. Fourier Series
Chapter 4. Fourier Series At this poit we are ready to ow cosider the caoical equatios. Cosider, for eample the heat equatio u t = u, < (4.) subject to u(, ) = si, u(, t) = u(, t) =. (4.) Here,
More informationMETHOD OF FUNDAMENTAL SOLUTIONS FOR HELMHOLTZ EIGENVALUE PROBLEMS IN ELLIPTICAL DOMAINS
Please cite this article as: Staisław Kula, Method of fudametal solutios for Helmholtz eigevalue problems i elliptical domais, Scietific Research of the Istitute of Mathematics ad Computer Sciece, 009,
More informationPolynomial Functions and Their Graphs
Polyomial Fuctios ad Their Graphs I this sectio we begi the study of fuctios defied by polyomial expressios. Polyomial ad ratioal fuctios are the most commo fuctios used to model data, ad are used extesively
More information