HEAT CONDUCTION IN TECHNOLOGICAL PROCESSES

Size: px
Start display at page:

Download "HEAT CONDUCTION IN TECHNOLOGICAL PROCESSES"

Transcription

1 Journal of Engineering Physics and Thermophysics, Vol. 84, No. 6, November, HEAT CONDUCTION IN TECHNOLOGICAL PROCESSES PROPAGATION OF HEAT IN THE SPACE AROUND A CYLINDRICAL SURFACE AS A NON-MARKOVIAN RANDOM PROCESS A. N. Morozov and A. V. Skripkin UDC 59.;536. Consideraion has been given o he propagaion of hea in he space around a cylindrically shaped body in he presence of flucuaions of he hea flux hrough is surface. I has been shown ha he corresponding random changes in he emperaure and he hea flux are described by inegral sochasic equaions and belong o he class of non-markovian processes. Saisical characerisics of he considered flucuaions, including one-dimensional and mulidimensional characerisic funcions, specral densiies, and probabiliy densiies, have been found. Keywords: hea conducion, non-markovian process, inegral sochasic equaions. Inroducion. Hea-conducion processes occurring in physical media are accompanied by flucuaions of heir parameers (emperaure and hea flux) due o he random changes in he power of he hea source, he hermal-conduciviy coefficien of he medium and he inensiy of he hermodynamic flow in i, and for oher reasons. Physical processes giving rise o such flucuaions can be exemplified by curren noise in conducors and semiconducors [] and by he flicker noise of he maerial s elecrical conducion []. One generally describes he propagaion of hea in a medium using differenial hea-conducion equaions wih corresponding iniial and boundary condiions and akes accoun of flucuaions of is emperaure and he hea fluxes in i by adding random funcions o he obained differenial equaions. Such an approach enables one o use a well-developed heory of sochasic differenial sysems [3]. Random changes in he physical quaniies used in he formulaion of such a problem represen Markovian processes. Acual physical media, however, possess herediary properies which can be characerized wih differenial operaors only approximaely. Alhough such an approximaion may be reckoned as saisfacory, i ofen becomes necessary o more generally invesigae he hea-conducion phenomenon for aking accoun of he non-markovian characer of flucuaions of emperaures and hea fluxes. I is proposed ha he corresponding inegral equaions [4, 5] whose kernels can in principle allow for he herediary properies of a non-markovian hea-conducion process be used insead of differenial sochasic equaions. Inegral ransformaions have been used in [6] for finding analyical soluions of boundary-value problems of hea conducion in an infinie domain bounded by a cylindrical surface. The mehod of soluion of nonlinear nonsaionary hea-conducion problems using nonlinear Volerra inegral equaions of he second kind has been proposed in [7]. We noe ha he indicaed approach o descripion of Brownian moion, he evaporaion of a liquid drople in he amosphere, and he moion of a paricle in a medium wih a flucuaing fricion facor makes i possible o subsanially refine resuls obained wih classical mehods [8, 9]. In his work, consideraion is given o he process of propagaion of hea in he medium around an infinie cylindrical surface he hea flux hrough which can randomly be changed wih ime. I is shown ha his phenomenon is described by he linear Volerra inegral equaion of he second kind, and he corresponding funcions are non-markovian. Saisical characerisics describing he problem of physical quaniies, among which are characerisic funcions, specral densiies, and probabiliy densiies, are found using he mehod of descripion of non-markovian random processes prescribed by he linear inegral ransformaions. N. E. Bauman Moscow Sae Universiy, 5 ya Baumanskaya Sr., Moscow, 55, Russia; Translaed from Inzhenerno-Fizicheskii Zhurnal, Vol. 84, No. 6, pp. 7, November December,. Original aricle submied July, ; revision submied May 4,. 6-5//846- Springer Science+Business Media, Inc.

2 Fig.. Hea conducion in he space around he cylindrical surface. Formulaion of he Problem. We consider an infiniely long cylindrical body of radius R manufacured from a maerial wih a high conduciviy, hea capaciy per uni volume C V, and hermal diffusiviy χ c ; he body is in an unbounded hea-conducing medium wih a hermal conduciviy κ and a hermal diffusiviy χ (Fig. ). We will assume ha he surface emperaure of he cylinder, a a given insan of ime, is everywhere he same and is a cerain funcion of ime: T(R, ) = T R (). We noe ha in acual pracice his condiion corresponds o he case of consideraion of he hea-conducion phenomenon in he medium around a cylindrical body of small radius a a disance smaller or of he order of R from is surface. Also, we will assume ha a he iniial insan of ime, he emperaure hroughou he space, including he emperaure of he cylinder maerial, is he same and equal o zero. Wihin he framework of he assumpions made, he emperaure of he medium ouside he cylinder is dependen jus on he disance r o is axis of symmery and obeys a differenial hea-conducion equaion of he form T (r, ) = χ T (r, ) r + r T (r, ), r > R, r () wih he iniial and boundary condiions T (r, ) = =, () T (r, ) = T R (). (3) r=r, > Sochasic Inegral Equaion. I can be shown ha if he hea Q(τ) is insananeously released, a a cerain insan of ime τ, on each uni lengh of he cylindrical surface in quesion, he medium s emperaure for r > R a he insan of ime will be deermined by he expression [] T (r, ) = χ Q (τ) G (r, R, τ), (4) κ where G(r, R, τ) is he influence funcion of he insananeous cylindrical hea source (Green s funcion) defined as G (r, R, τ) = 4πχ ( τ) exp r + R 4χ ( τ) I Rr χ ( τ). (5) If Q(τ)δ( τ) = πrq T (), in he case of an arbirary hea flux hrough he surface of he cylinder q T () he emperaure a a disance r from is axis of symmery will be deermined from he expression

3 T (r, ) = R κ qt (τ) τ exp r + R 4χ ( τ) I Rr dτ. (6) χ ( τ) T(r, ) We find he derivaive of, using expression (6) and he fac ha he derivaive of he Bessel funcion of zero r order is equal in argumen o he Bessel funcion of firs order: di (x) = I dx (x). We obain T (r, ) R = q T (τ) r 4χκ ( τ) exp r + R RI Rr 4χ ( τ) ri Rr χ ( τ) dτ. (7) χ ( τ) The hea flux hrough he surface of he cylindrical body q T () is deermined by he general relaion q T () = κ T (r, ) r + ξ qt (), (8) r=r where he funcion ξ qt () represens a random hea flux whose saisical properies are deermined by he characer of he flucuaion source; he mean value is ξ qt () =. A he same ime, such a flux can also be deermined according o he equaion q T () = C V R dt R (). (9) d I should be emphasized ha expression (9) holds rue for he case of he assumed presence of he high hermal conduciviy of he cylinder s maerial compared o he conduciviy of he medium, i.e., on condiion ha χ << χ c. From he obained relaion (7), wih accoun of formulas (8) and (9), we find C V R K ( τ) Z (τ) dτ = ξ qt (), () where Z () = dt R () d () and K ( τ) = δ ( τ) + R 4χ ( τ) exp I I. () χ ( τ) χ ( τ) χ ( τ) R R R Thus, he process of propagaion of hea in he space around he cylindrical surface of radius R in he presence of he random hea flux hrough i is described by he sochasic Volerra inegral equaion of he second kind (). The random process described by he inegral equaions of he form () wih nonexponenial kernels is no reduced o a sysem of differenial sochasic equaions and belongs o he class of non-markovian processes [5]. Consequenly, flucuaions of he quaniy Z() and changes in he emperaure of he cylinder surface T R () and he flux q T () possess herediary properies: heir saisical characerisics beginning wih a cerain ime τ are dependen on he behavior of hese funcions a < τ. We noe ha for large values of he radius R, expression () can be wrien using he approximae formula [] K ( τ) = δ ( τ) + χ R π ( τ), (3) 3

4 whose subsiuion ino Eq. () insead of relaion () yields an inegral equaion of he form C V R Z () + κ πχ τ Z (τ) dτ = ξ q (), (4) T his equaion has been invesigaed in [] as applied o he phenomenon of hea conducion in he half-space above a fla surface. Indeed, le us consider a cylindrical shell of radius R and such a hickness h ha h << R. Then, insead of Eq. (5), we obain he relaion q T () = C V h dt R() + ξ d qt (). Taking ino accoun he fac ha he produc C V h represens he hea capaciy of uni surface of such a shell C S, we should ake he value of C S insead of C VR in (4); his precisely leads o he inegral equaion considered in [] and describing hea conducion in a half-space bounded by a fla surface. I is noeworhy ha if he main source of hea conducion is hea ransfer, he upper limi of inegraion in Eq. () should, generally speaking, be aken o be δ, where δ is he small parameer equal o he ime of free moion of he paricles of he hea-conducing medium in order of magniude. Le us elucidae he saisical properies of he inroduced random hea flux ξ qt () hrough he surface of he cylindrical body. The funcion ξ qt () in many cases can be represened as whie noise wih an inensiy ν, which is bounded above by a cerain limiing frequency ω max ; his frequency can be evaluaed accurae o a consan using he formula ω max χ c R. (5) To evaluae ω max we will assume ha he cylinder has been manufacured from copper (for which he hermal diffusiviy is χ c = 4 m s) and having radius R = μm. We obain ha ω max 6 s. Thus, whie noise characerisic of flucuaions of he hea flux hrough he cylinder surface urns ou o be wide-band, as far as he specrum is concerned. Evaluaion of he inensiy ν can be carried ou from he formula ν κ R 3k B T. (6) The obained esimae follows from relaions (8) and (9) which, upon he replacemen of he derivaive T r by he raio T R R, lead o an equaion of he form C VR dt R () + κ d R T R() = C V R ξ κ q T () or T R () + C V R T R() = 4 C VR ξ q T (), which corresponds o he Langevin equaion for Brownian moion. The las formula makes i possible o find [3] an esimae of he inensiy of he Langevin source ξ qt () and is represened by relaion (6). A he emperaure T = 3 K, he esimae given by expression (6) leads o an inensiy of ν 4 J (m 4 s) for he copper cylindrical body of radius R = 5 nm placed in waer. Case of he Whie Noise of Flucuaions of he Hea Flux hrough he Cylindrical Surface of Small Radius. We consider hea conducion in he medium around he cylindrical shell in he case where he parameer R <<, which (as is seen from expression (5)) corresponds o he case of a very high boundary frequency of he χ specrum of flucuaions of he hea flux hrough he cylindrical surface (whie noise). Also, seing τ > δ, we obain, upon he series expansion of modified Bessel funcions and exponens and reenion of he firs erms of expansion, ha Z () R 4χ ( τ) Z (τ) dτ = C V R ξ q (). (7) T 4

5 Fig.. Funcion g (λ; ) vs. parameer λ a differen insans of ime: ) = 7 s, ) 6 s, and 3). The soluion of he Volerra inegral equaion of he second kind (7) in he general case can be wrien as [4] where he resolven F( τ) is deermined by he recurrence relaion Z () = C V R [δ ( τ) + F ( τ)] ξ qt (τ) dτ, (8) Here we have F ( τ) = F n ( τ). (9) n= F ( τ) = R 4χ ( τ), () δ F n ( τ) = F ( s) F n (s τ) ds, n >. () τ+δ The above condiion R R << makes series (9) rapidly convergen. On condiion ha << δ (cylindrical surfaces of χ χ small radius, or hin filamens), we can disregard he second erm and erms ha follow in series (9) compared o he firs erm and finally obain F ( τ) = R 4χ ( τ). () Saisical Characerisics. The iniial inegral equaion (8) for he case of he resolven F( τ) of he form () enables us o find any saisical characerisics of he process Z(), if we use he mehod developed in [4] for descripion of non-markovian random processes prescribed by he linear inegral ransformaions. Thus, for he one-dimensional g (λ; ) and mulidimensional g L (λ,..., λ L ;,..., L ) characerisic funcions of he process Z() on condiion ha he random hea flux ξ qt () represens whie noise of inensiy ν, we obain g (λ; ) = exp R νλ 4 χ C V δ 3 3, (3) 5

6 Fig. 3. Funcion K( τ, ) vs. parameer τ a differen insans of ime: ) = 7 s, ) 6 s, and 3) s. g L (λ,..., λ L ;,..., L ) = exp R ν 4 χ C V L k,l=, k<l λ l λ k ( l k ) δ + k l + l k + l k ( l k ) l k ln l δ k ( l k ). (4) The funcion g (λ; ) defined by Eq. (3) is presened graphically in Fig.. Here and in wha follows we use as examples copper cylindrical bodies of small radius placed in waer (R = 8 m, ν = 4 J (m 4 s), χ = 7 m s, and C V =.3 3 J (K m 3 )). Expressions for he characerisic funcions (3) and (4) enable us o find any saisical characerisics of he process Z(). For he mahemaical expecaion Z() and he variance D Z () of he process Z(), we find, from (3), Z () = g (λ; ) =, (5) i λ λ= D Z () = Z () = g (λ; ) λ λ= = R ν 4χ C V δ 3 3. (6) I is seen from he found formula (6) ha he seady-sae hea-conducion process ( ) is accompanied by a consan value of he variance D Z () of he rae of change in he emperaure of he cylindrical surface Z(), which is dependen on he parameers of he body and he medium and on he characerisic quaniy δ considered earlier: R ν D Z () = 4χ 3. (7) C V δ For he correlaion funcion K(, ) = Z( )Z( ), wih he wo-dimensional characerisic funcion g (λ, λ ;, ) deermined from (4), we obain K (, ) = g (λ, λ ;, ) = R ν λ λ λ =, 48 χ C V λ = ( ) δ ( ) ln δ ( ). (8) Dependence (8) yields ha a and (seady-sae hea-conducion process), he correlaion funcion K(, ) = K( ) = K(τ) akes he form 6

7 Fig. 4. One-sided specral densiy G Z (ω, ) vs. frequency of whie noise a differen insans of ime: ). and ) s. Fig. 5. Probabiliy densiy p(z, ) vs. rae of change in he emperaure of he cylinder surface a differen insans of ime: ) = 7 and ) 6 s. K (τ) = 48 R ν χ C V τ δ + τ + τ δ ln. (9) τ The funcion K( τ, ) defined by relaion (8) is presened graphically in Fig. 3. The found correlaion funcion (8) enables us o find one-sided specral densiy of he process Z(): G Z (ω, ) = K ( τ, ) cos ωτdτ. (3) Figure 4 displays a resul of numerical compuaion of he one-sided specral densiy G Z (ω, ) using formula (3) for differen imes. In he paricular case of small ω values and shor, wih accoun of he condiion δ <<, (8) and (3) yield ha G Z (ω, )symbolω = K ( τ, ) ω τ dτ = R ν 48 χ C V Le us find he expression for he one-dimensional probabiliy densiy funcion p(z, ): p (Z, ) = π g (λ; ) exp ( iλz) dλ = 4 ω. (3) δ δ πd () exp Z D (). (3) Figure 5 gives dependence (3) for differen. I is clearly seen ha he plo of he probabiliy densiy of Z() flucuaions is "smeared" along he Z axis, ending o a saionary Gaussian curve a. Conclusions. Sudy of he process of propagaion of hea even in he case of a relaively simple model (infinie cylinder of consan radius flucuaions of he hea flux hrough whose surface are independen of a poin on is surface) requires inegral sochasic equaions for saisical descripion, whereas he flucuaions hemselves of he quaniies should be considered as non-markovian random processes. The obained resuls are of imporance for descripion of random flucuaions of he emperaure of cylindrical bodies of micromeer and submicromeer radii in media wih a low hermal conduciviy. 7

8 NOTATION C S, hea capaciy of uni surface of he cylinder; C V, hea capaciy per uni volume of he cylinder maerial; I (x), modified Bessel funcion of zero order; k B, Bolzmann consan; q T (), hea flux hrough he surface of he cylindrical body; R, cylinder radius; r, disance o he axis of symmery of he cylinder;, ime variable; T R (), emperaure of he cylinder surface; x, auxiliary variable; Z, rae of change in he emperaure of he cylinder surface; κ, hermal conduciviy of he medium around he cylinder; λ, parameer of he characerisic funcion; ν, inensiy of flucuaions of he hea flux hrough he surface of he cylindrical body which have he form of whie noise; τ, inegraion variable (ime); χ, hermal diffusiviy of he medium around he cylinder; χ c, hermal diffusiviy of he cylinder maerial; ω, whie-noise frequency. Subscrip: c, cylinder. REFERENCES. M. Buckingham, Noise in Elecronic Devices and Sysems [Russian ranslaion], Mir, Moscow (986).. G. N. Bochkov and Yu. E. Kuzovlev, Innovaions in invesigaions of he /f noise, Usp. Fiz. Nauk, 4, 5 76 (983). 3. V. S. Pugachev and I. N. Sinisyn, Sochasic Differenial Sysems [in Russian], Nauka, Moscow (99). 4. A. N. Morozov, A mehod for describing non-markovian processes assigned by a linear inegral ransformaion, Vesn. MGTU, Esesv. Nauki, No. 3, (4). 5. A. N. Morozov, Irreversible Processes and Brownian Moion [in Russian], Izd. MGTU im. N. E. Baumana, Moscow (997). 6. E. M. Karashov, A class of inegral ransformaions for he generalized equaion of nonsaionary hea conducion, Inzh.-Fiz. Zh., 8, No., 3 3 (8). 7. V. D. Belik, B. A. Uryukov, G. A. Frolov, and G. V. Tkachenko, Numerical analyical mehod of solving he nonlinear nonsaionary hea conducion equaion, Inzh.-Fiz. Zh., 8, No. 6, (8). 8. A. N. Morozov and A. V. Skripkin, Applicaion of inegral ransformaions o descripion of he Brownian moion as a non-markovian random process, Izv. Vyssh. Uchebn. Zaved., Fiz., No., (9). 9. A. N. Morozov and A. V. Skripkin, Saisical descripion of an oscillaor exposed o he acion of a flucuaing fricion facor, Vesn. MGTU, Esesv. Nauki, No., 3 5 (8).. A. N. Tikhonov and A. A. Samarskii, Mahemaical Physics Equaions [in Russian], Nauka, Moscow (977).. A. F. Nikiforov and V. B. Uvarov, Special Funcions of Mahemaical Physics [in Russian], Nauka, Moscow (984).. A. N. Morozov and A. V. Skripkin, Applicaion of he Volerra second-kind equaion o descripion of viscous fricion and hermal conduciviy, Vesn. MGTU, Esesv. Nauki, No. 3, 6 7 (6). 3. Yu. L. Klimonovich, Saisical Physics [in Russian], Nauka, Moscow (98). 4. V. Volerra, Theory of Funcionals and of Inegral and Inegro-Differenial Equaions [Russian ranslaion], Nauka, Moscow (98). 8

Physics 127b: Statistical Mechanics. Fokker-Planck Equation. Time Evolution

Physics 127b: Statistical Mechanics. Fokker-Planck Equation. Time Evolution Physics 7b: Saisical Mechanics Fokker-Planck Equaion The Langevin equaion approach o he evoluion of he velociy disribuion for he Brownian paricle migh leave you uncomforable. A more formal reamen of his

More information

Sub Module 2.6. Measurement of transient temperature

Sub Module 2.6. Measurement of transient temperature Mechanical Measuremens Prof. S.P.Venkaeshan Sub Module 2.6 Measuremen of ransien emperaure Many processes of engineering relevance involve variaions wih respec o ime. The sysem properies like emperaure,

More information

Some Basic Information about M-S-D Systems

Some Basic Information about M-S-D Systems Some Basic Informaion abou M-S-D Sysems 1 Inroducion We wan o give some summary of he facs concerning unforced (homogeneous) and forced (non-homogeneous) models for linear oscillaors governed by second-order,

More information

Module 2 F c i k c s la l w a s o s f dif di fusi s o i n

Module 2 F c i k c s la l w a s o s f dif di fusi s o i n Module Fick s laws of diffusion Fick s laws of diffusion and hin film soluion Adolf Fick (1855) proposed: d J α d d d J (mole/m s) flu (m /s) diffusion coefficien and (mole/m 3 ) concenraion of ions, aoms

More information

Structural Dynamics and Earthquake Engineering

Structural Dynamics and Earthquake Engineering Srucural Dynamics and Earhquae Engineering Course 1 Inroducion. Single degree of freedom sysems: Equaions of moion, problem saemen, soluion mehods. Course noes are available for download a hp://www.c.up.ro/users/aurelsraan/

More information

THE EFFECT OF SUCTION AND INJECTION ON UNSTEADY COUETTE FLOW WITH VARIABLE PROPERTIES

THE EFFECT OF SUCTION AND INJECTION ON UNSTEADY COUETTE FLOW WITH VARIABLE PROPERTIES Kragujevac J. Sci. 3 () 7-4. UDC 53.5:536. 4 THE EFFECT OF SUCTION AND INJECTION ON UNSTEADY COUETTE FLOW WITH VARIABLE PROPERTIES Hazem A. Aia Dep. of Mahemaics, College of Science,King Saud Universiy

More information

Linear Response Theory: The connection between QFT and experiments

Linear Response Theory: The connection between QFT and experiments Phys540.nb 39 3 Linear Response Theory: The connecion beween QFT and experimens 3.1. Basic conceps and ideas Q: How do we measure he conduciviy of a meal? A: we firs inroduce a weak elecric field E, and

More information

d 1 = c 1 b 2 - b 1 c 2 d 2 = c 1 b 3 - b 1 c 3

d 1 = c 1 b 2 - b 1 c 2 d 2 = c 1 b 3 - b 1 c 3 and d = c b - b c c d = c b - b c c This process is coninued unil he nh row has been compleed. The complee array of coefficiens is riangular. Noe ha in developing he array an enire row may be divided or

More information

Chapter 2. First Order Scalar Equations

Chapter 2. First Order Scalar Equations Chaper. Firs Order Scalar Equaions We sar our sudy of differenial equaions in he same way he pioneers in his field did. We show paricular echniques o solve paricular ypes of firs order differenial equaions.

More information

CHAPTER 2 Signals And Spectra

CHAPTER 2 Signals And Spectra CHAPER Signals And Specra Properies of Signals and Noise In communicaion sysems he received waveform is usually caegorized ino he desired par conaining he informaion, and he undesired par. he desired par

More information

Basic Circuit Elements Professor J R Lucas November 2001

Basic Circuit Elements Professor J R Lucas November 2001 Basic Circui Elemens - J ucas An elecrical circui is an inerconnecion of circui elemens. These circui elemens can be caegorised ino wo ypes, namely acive and passive elemens. Some Definiions/explanaions

More information

Class Meeting # 10: Introduction to the Wave Equation

Class Meeting # 10: Introduction to the Wave Equation MATH 8.5 COURSE NOTES - CLASS MEETING # 0 8.5 Inroducion o PDEs, Fall 0 Professor: Jared Speck Class Meeing # 0: Inroducion o he Wave Equaion. Wha is he wave equaion? The sandard wave equaion for a funcion

More information

Ordinary Differential Equations

Ordinary Differential Equations Lecure 22 Ordinary Differenial Equaions Course Coordinaor: Dr. Suresh A. Karha, Associae Professor, Deparmen of Civil Engineering, IIT Guwahai. In naure, mos of he phenomena ha can be mahemaically described

More information

The expectation value of the field operator.

The expectation value of the field operator. The expecaion value of he field operaor. Dan Solomon Universiy of Illinois Chicago, IL dsolom@uic.edu June, 04 Absrac. Much of he mahemaical developmen of quanum field heory has been in suppor of deermining

More information

Chapter 8 The Complete Response of RL and RC Circuits

Chapter 8 The Complete Response of RL and RC Circuits Chaper 8 The Complee Response of RL and RC Circuis Seoul Naional Universiy Deparmen of Elecrical and Compuer Engineering Wha is Firs Order Circuis? Circuis ha conain only one inducor or only one capacior

More information

POSITIVE AND MONOTONE SYSTEMS IN A PARTIALLY ORDERED SPACE

POSITIVE AND MONOTONE SYSTEMS IN A PARTIALLY ORDERED SPACE Urainian Mahemaical Journal, Vol. 55, No. 2, 2003 POSITIVE AND MONOTONE SYSTEMS IN A PARTIALLY ORDERED SPACE A. G. Mazo UDC 517.983.27 We invesigae properies of posiive and monoone differenial sysems wih

More information

Navneet Saini, Mayank Goyal, Vishal Bansal (2013); Term Project AML310; Indian Institute of Technology Delhi

Navneet Saini, Mayank Goyal, Vishal Bansal (2013); Term Project AML310; Indian Institute of Technology Delhi Creep in Viscoelasic Subsances Numerical mehods o calculae he coefficiens of he Prony equaion using creep es daa and Herediary Inegrals Mehod Navnee Saini, Mayank Goyal, Vishal Bansal (23); Term Projec

More information

ψ(t) = V x (0)V x (t)

ψ(t) = V x (0)V x (t) .93 Home Work Se No. (Professor Sow-Hsin Chen Spring Term 5. Due March 7, 5. This problem concerns calculaions of analyical expressions for he self-inermediae scaering funcion (ISF of he es paricle in

More information

Vehicle Arrival Models : Headway

Vehicle Arrival Models : Headway Chaper 12 Vehicle Arrival Models : Headway 12.1 Inroducion Modelling arrival of vehicle a secion of road is an imporan sep in raffic flow modelling. I has imporan applicaion in raffic flow simulaion where

More information

A NEW TECHNOLOGY FOR SOLVING DIFFUSION AND HEAT EQUATIONS

A NEW TECHNOLOGY FOR SOLVING DIFFUSION AND HEAT EQUATIONS THERMAL SCIENCE: Year 7, Vol., No. A, pp. 33-4 33 A NEW TECHNOLOGY FOR SOLVING DIFFUSION AND HEAT EQUATIONS by Xiao-Jun YANG a and Feng GAO a,b * a School of Mechanics and Civil Engineering, China Universiy

More information

Multi-scale 2D acoustic full waveform inversion with high frequency impulsive source

Multi-scale 2D acoustic full waveform inversion with high frequency impulsive source Muli-scale D acousic full waveform inversion wih high frequency impulsive source Vladimir N Zubov*, Universiy of Calgary, Calgary AB vzubov@ucalgaryca and Michael P Lamoureux, Universiy of Calgary, Calgary

More information

Symmetry and Numerical Solutions for Systems of Non-linear Reaction Diffusion Equations

Symmetry and Numerical Solutions for Systems of Non-linear Reaction Diffusion Equations Symmery and Numerical Soluions for Sysems of Non-linear Reacion Diffusion Equaions Sanjeev Kumar* and Ravendra Singh Deparmen of Mahemaics, (Dr. B. R. Ambedkar niversiy, Agra), I. B. S. Khandari, Agra-8

More information

Recursive Least-Squares Fixed-Interval Smoother Using Covariance Information based on Innovation Approach in Linear Continuous Stochastic Systems

Recursive Least-Squares Fixed-Interval Smoother Using Covariance Information based on Innovation Approach in Linear Continuous Stochastic Systems 8 Froniers in Signal Processing, Vol. 1, No. 1, July 217 hps://dx.doi.org/1.2266/fsp.217.112 Recursive Leas-Squares Fixed-Inerval Smooher Using Covariance Informaion based on Innovaion Approach in Linear

More information

THE FOURIER-YANG INTEGRAL TRANSFORM FOR SOLVING THE 1-D HEAT DIFFUSION EQUATION. Jian-Guo ZHANG a,b *

THE FOURIER-YANG INTEGRAL TRANSFORM FOR SOLVING THE 1-D HEAT DIFFUSION EQUATION. Jian-Guo ZHANG a,b * Zhang, J.-G., e al.: The Fourier-Yang Inegral Transform for Solving he -D... THERMAL SCIENCE: Year 07, Vol., Suppl., pp. S63-S69 S63 THE FOURIER-YANG INTEGRAL TRANSFORM FOR SOLVING THE -D HEAT DIFFUSION

More information

( ) ( ) if t = t. It must satisfy the identity. So, bulkiness of the unit impulse (hyper)function is equal to 1. The defining characteristic is

( ) ( ) if t = t. It must satisfy the identity. So, bulkiness of the unit impulse (hyper)function is equal to 1. The defining characteristic is UNIT IMPULSE RESPONSE, UNIT STEP RESPONSE, STABILITY. Uni impulse funcion (Dirac dela funcion, dela funcion) rigorously defined is no sricly a funcion, bu disribuion (or measure), precise reamen requires

More information

INDEX. Transient analysis 1 Initial Conditions 1

INDEX. Transient analysis 1 Initial Conditions 1 INDEX Secion Page Transien analysis 1 Iniial Condiions 1 Please inform me of your opinion of he relaive emphasis of he review maerial by simply making commens on his page and sending i o me a: Frank Mera

More information

Guest Lectures for Dr. MacFarlane s EE3350 Part Deux

Guest Lectures for Dr. MacFarlane s EE3350 Part Deux Gues Lecures for Dr. MacFarlane s EE3350 Par Deux Michael Plane Mon., 08-30-2010 Wrie name in corner. Poin ou his is a review, so I will go faser. Remind hem o go lisen o online lecure abou geing an A

More information

CHAPTER 6: FIRST-ORDER CIRCUITS

CHAPTER 6: FIRST-ORDER CIRCUITS EEE5: CI CUI T THEOY CHAPTE 6: FIST-ODE CICUITS 6. Inroducion This chaper considers L and C circuis. Applying he Kirshoff s law o C and L circuis produces differenial equaions. The differenial equaions

More information

Lecture 2-1 Kinematics in One Dimension Displacement, Velocity and Acceleration Everything in the world is moving. Nothing stays still.

Lecture 2-1 Kinematics in One Dimension Displacement, Velocity and Acceleration Everything in the world is moving. Nothing stays still. Lecure - Kinemaics in One Dimension Displacemen, Velociy and Acceleraion Everyhing in he world is moving. Nohing says sill. Moion occurs a all scales of he universe, saring from he moion of elecrons in

More information

DYNAMIC ECONOMETRIC MODELS vol NICHOLAS COPERNICUS UNIVERSITY - TORUŃ Józef Stawicki and Joanna Górka Nicholas Copernicus University

DYNAMIC ECONOMETRIC MODELS vol NICHOLAS COPERNICUS UNIVERSITY - TORUŃ Józef Stawicki and Joanna Górka Nicholas Copernicus University DYNAMIC ECONOMETRIC MODELS vol.. - NICHOLAS COPERNICUS UNIVERSITY - TORUŃ 996 Józef Sawicki and Joanna Górka Nicholas Copernicus Universiy ARMA represenaion for a sum of auoregressive processes In he ime

More information

THE MYSTERY OF STOCHASTIC MECHANICS. Edward Nelson Department of Mathematics Princeton University

THE MYSTERY OF STOCHASTIC MECHANICS. Edward Nelson Department of Mathematics Princeton University THE MYSTERY OF STOCHASTIC MECHANICS Edward Nelson Deparmen of Mahemaics Princeon Universiy 1 Classical Hamilon-Jacobi heory N paricles of various masses on a Euclidean space. Incorporae he masses in he

More information

Physics 235 Chapter 2. Chapter 2 Newtonian Mechanics Single Particle

Physics 235 Chapter 2. Chapter 2 Newtonian Mechanics Single Particle Chaper 2 Newonian Mechanics Single Paricle In his Chaper we will review wha Newon s laws of mechanics ell us abou he moion of a single paricle. Newon s laws are only valid in suiable reference frames,

More information

Two Coupled Oscillators / Normal Modes

Two Coupled Oscillators / Normal Modes Lecure 3 Phys 3750 Two Coupled Oscillaors / Normal Modes Overview and Moivaion: Today we ake a small, bu significan, sep owards wave moion. We will no ye observe waves, bu his sep is imporan in is own

More information

23.2. Representing Periodic Functions by Fourier Series. Introduction. Prerequisites. Learning Outcomes

23.2. Representing Periodic Functions by Fourier Series. Introduction. Prerequisites. Learning Outcomes Represening Periodic Funcions by Fourier Series 3. Inroducion In his Secion we show how a periodic funcion can be expressed as a series of sines and cosines. We begin by obaining some sandard inegrals

More information

Waves are naturally found in plasmas and have to be dealt with. This includes instabilities, fluctuations, waveinduced

Waves are naturally found in plasmas and have to be dealt with. This includes instabilities, fluctuations, waveinduced Lecure 1 Inroducion Why is i imporan o sudy waves in plasma? Waves are naurally found in plasmas and have o be deal wih. This includes insabiliies, flucuaions, waveinduced ranspor... Waves can deliver

More information

EECE251. Circuit Analysis I. Set 4: Capacitors, Inductors, and First-Order Linear Circuits

EECE251. Circuit Analysis I. Set 4: Capacitors, Inductors, and First-Order Linear Circuits EEE25 ircui Analysis I Se 4: apaciors, Inducors, and Firs-Order inear ircuis Shahriar Mirabbasi Deparmen of Elecrical and ompuer Engineering Universiy of Briish olumbia shahriar@ece.ubc.ca Overview Passive

More information

Simulation-Solving Dynamic Models ABE 5646 Week 2, Spring 2010

Simulation-Solving Dynamic Models ABE 5646 Week 2, Spring 2010 Simulaion-Solving Dynamic Models ABE 5646 Week 2, Spring 2010 Week Descripion Reading Maerial 2 Compuer Simulaion of Dynamic Models Finie Difference, coninuous saes, discree ime Simple Mehods Euler Trapezoid

More information

An Introduction to Malliavin calculus and its applications

An Introduction to Malliavin calculus and its applications An Inroducion o Malliavin calculus and is applicaions Lecure 5: Smoohness of he densiy and Hörmander s heorem David Nualar Deparmen of Mahemaics Kansas Universiy Universiy of Wyoming Summer School 214

More information

GEM4 Summer School OpenCourseWare

GEM4 Summer School OpenCourseWare GEM4 Summer School OpenCourseWare hp://gem4.educommons.ne/ hp://www.gem4.org/ Lecure: Thermal Forces and Brownian Moion by Ju Li. Given Augus 11, 2006 during he GEM4 session a MIT in Cambridge, MA. Please

More information

Stochastic Model for Cancer Cell Growth through Single Forward Mutation

Stochastic Model for Cancer Cell Growth through Single Forward Mutation Journal of Modern Applied Saisical Mehods Volume 16 Issue 1 Aricle 31 5-1-2017 Sochasic Model for Cancer Cell Growh hrough Single Forward Muaion Jayabharahiraj Jayabalan Pondicherry Universiy, jayabharahi8@gmail.com

More information

Diebold, Chapter 7. Francis X. Diebold, Elements of Forecasting, 4th Edition (Mason, Ohio: Cengage Learning, 2006). Chapter 7. Characterizing Cycles

Diebold, Chapter 7. Francis X. Diebold, Elements of Forecasting, 4th Edition (Mason, Ohio: Cengage Learning, 2006). Chapter 7. Characterizing Cycles Diebold, Chaper 7 Francis X. Diebold, Elemens of Forecasing, 4h Ediion (Mason, Ohio: Cengage Learning, 006). Chaper 7. Characerizing Cycles Afer compleing his reading you should be able o: Define covariance

More information

R.#W.#Erickson# Department#of#Electrical,#Computer,#and#Energy#Engineering# University#of#Colorado,#Boulder#

R.#W.#Erickson# Department#of#Electrical,#Computer,#and#Energy#Engineering# University#of#Colorado,#Boulder# .#W.#Erickson# Deparmen#of#Elecrical,#Compuer,#and#Energy#Engineering# Universiy#of#Colorado,#Boulder# Chaper 2 Principles of Seady-Sae Converer Analysis 2.1. Inroducion 2.2. Inducor vol-second balance,

More information

Final Spring 2007

Final Spring 2007 .615 Final Spring 7 Overview The purpose of he final exam is o calculae he MHD β limi in a high-bea oroidal okamak agains he dangerous n = 1 exernal ballooning-kink mode. Effecively, his corresponds o

More information

Mathcad Lecture #8 In-class Worksheet Curve Fitting and Interpolation

Mathcad Lecture #8 In-class Worksheet Curve Fitting and Interpolation Mahcad Lecure #8 In-class Workshee Curve Fiing and Inerpolaion A he end of his lecure, you will be able o: explain he difference beween curve fiing and inerpolaion decide wheher curve fiing or inerpolaion

More information

Online Appendix to Solution Methods for Models with Rare Disasters

Online Appendix to Solution Methods for Models with Rare Disasters Online Appendix o Soluion Mehods for Models wih Rare Disasers Jesús Fernández-Villaverde and Oren Levinal In his Online Appendix, we presen he Euler condiions of he model, we develop he pricing Calvo block,

More information

The motions of the celt on a horizontal plane with viscous friction

The motions of the celt on a horizontal plane with viscous friction The h Join Inernaional Conference on Mulibody Sysem Dynamics June 8, 18, Lisboa, Porugal The moions of he cel on a horizonal plane wih viscous fricion Maria A. Munisyna 1 1 Moscow Insiue of Physics and

More information

arxiv:cond-mat/ May 2002

arxiv:cond-mat/ May 2002 -- uadrupolar Glass Sae in para-hydrogen and orho-deuerium under pressure. T.I.Schelkacheva. arxiv:cond-ma/5538 6 May Insiue for High Pressure Physics, Russian Academy of Sciences, Troisk 49, Moscow Region,

More information

15. Vector Valued Functions

15. Vector Valued Functions 1. Vecor Valued Funcions Up o his poin, we have presened vecors wih consan componens, for example, 1, and,,4. However, we can allow he componens of a vecor o be funcions of a common variable. For example,

More information

On Gronwall s Type Integral Inequalities with Singular Kernels

On Gronwall s Type Integral Inequalities with Singular Kernels Filoma 31:4 (217), 141 149 DOI 1.2298/FIL17441A Published by Faculy of Sciences and Mahemaics, Universiy of Niš, Serbia Available a: hp://www.pmf.ni.ac.rs/filoma On Gronwall s Type Inegral Inequaliies

More information

Elementary Differential Equations and Boundary Value Problems

Elementary Differential Equations and Boundary Value Problems Elemenar Differenial Equaions and Boundar Value Problems Boce. & DiPrima 9 h Ediion Chaper 1: Inroducion 1006003 คณ ตศาสตร ว ศวกรรม 3 สาขาว ชาว ศวกรรมคอมพ วเตอร ป การศ กษา 1/2555 ผศ.ดร.อร ญญา ผศ.ดร.สมศ

More information

A Bayesian Approach to Spectral Analysis

A Bayesian Approach to Spectral Analysis Chirped Signals A Bayesian Approach o Specral Analysis Chirped signals are oscillaing signals wih ime variable frequencies, usually wih a linear variaion of frequency wih ime. E.g. f() = A cos(ω + α 2

More information

23.5. Half-Range Series. Introduction. Prerequisites. Learning Outcomes

23.5. Half-Range Series. Introduction. Prerequisites. Learning Outcomes Half-Range Series 2.5 Inroducion In his Secion we address he following problem: Can we find a Fourier series expansion of a funcion defined over a finie inerval? Of course we recognise ha such a funcion

More information

Differential Equations

Differential Equations Mah 21 (Fall 29) Differenial Equaions Soluion #3 1. Find he paricular soluion of he following differenial equaion by variaion of parameer (a) y + y = csc (b) 2 y + y y = ln, > Soluion: (a) The corresponding

More information

Second quantization and gauge invariance.

Second quantization and gauge invariance. 1 Second quanizaion and gauge invariance. Dan Solomon Rauland-Borg Corporaion Moun Prospec, IL Email: dsolom@uic.edu June, 1. Absrac. I is well known ha he single paricle Dirac equaion is gauge invarian.

More information

20. Applications of the Genetic-Drift Model

20. Applications of the Genetic-Drift Model 0. Applicaions of he Geneic-Drif Model 1) Deermining he probabiliy of forming any paricular combinaion of genoypes in he nex generaion: Example: If he parenal allele frequencies are p 0 = 0.35 and q 0

More information

Analytic nonlinear elasto-viscosity of two types of BN and PI rubbers at large deformations

Analytic nonlinear elasto-viscosity of two types of BN and PI rubbers at large deformations Bulgarian Chemical Communicaions, Volume 48, Special Issue E (pp. 59-64) 016 Analyic nonlinear elaso-viscosiy of wo ypes of BN and PI rubbers a large deformaions K. B. Hadjov, A. S. Aleksandrov, M. P.

More information

Variational Iteration Method for Solving System of Fractional Order Ordinary Differential Equations

Variational Iteration Method for Solving System of Fractional Order Ordinary Differential Equations IOSR Journal of Mahemaics (IOSR-JM) e-issn: 2278-5728, p-issn: 2319-765X. Volume 1, Issue 6 Ver. II (Nov - Dec. 214), PP 48-54 Variaional Ieraion Mehod for Solving Sysem of Fracional Order Ordinary Differenial

More information

2.3 SCHRÖDINGER AND HEISENBERG REPRESENTATIONS

2.3 SCHRÖDINGER AND HEISENBERG REPRESENTATIONS Andrei Tokmakoff, MIT Deparmen of Chemisry, 2/22/2007 2-17 2.3 SCHRÖDINGER AND HEISENBERG REPRESENTATIONS The mahemaical formulaion of he dynamics of a quanum sysem is no unique. So far we have described

More information

Linear Surface Gravity Waves 3., Dispersion, Group Velocity, and Energy Propagation

Linear Surface Gravity Waves 3., Dispersion, Group Velocity, and Energy Propagation Chaper 4 Linear Surface Graviy Waves 3., Dispersion, Group Velociy, and Energy Propagaion 4. Descripion In many aspecs of wave evoluion, he concep of group velociy plays a cenral role. Mos people now i

More information

Pade and Laguerre Approximations Applied. to the Active Queue Management Model. of Internet Protocol

Pade and Laguerre Approximations Applied. to the Active Queue Management Model. of Internet Protocol Applied Mahemaical Sciences, Vol. 7, 013, no. 16, 663-673 HIKARI Ld, www.m-hikari.com hp://dx.doi.org/10.1988/ams.013.39499 Pade and Laguerre Approximaions Applied o he Acive Queue Managemen Model of Inerne

More information

Harmonic oscillator in quantum mechanics

Harmonic oscillator in quantum mechanics Harmonic oscillaor in quanum mechanics PHYS400, Deparmen of Physics, Universiy of onnecicu hp://www.phys.uconn.edu/phys400/ Las modified: May, 05 Dimensionless Schrödinger s equaion in quanum mechanics

More information

Non-uniform circular motion *

Non-uniform circular motion * OpenSax-CNX module: m14020 1 Non-uniform circular moion * Sunil Kumar Singh This work is produced by OpenSax-CNX and licensed under he Creaive Commons Aribuion License 2.0 Wha do we mean by non-uniform

More information

Ch.1. Group Work Units. Continuum Mechanics Course (MMC) - ETSECCPB - UPC

Ch.1. Group Work Units. Continuum Mechanics Course (MMC) - ETSECCPB - UPC Ch.. Group Work Unis Coninuum Mechanics Course (MMC) - ETSECCPB - UPC Uni 2 Jusify wheher he following saemens are rue or false: a) Two sreamlines, corresponding o a same insan of ime, can never inersec

More information

Elements of Stochastic Processes Lecture II Hamid R. Rabiee

Elements of Stochastic Processes Lecture II Hamid R. Rabiee Sochasic Processes Elemens of Sochasic Processes Lecure II Hamid R. Rabiee Overview Reading Assignmen Chaper 9 of exbook Furher Resources MIT Open Course Ware S. Karlin and H. M. Taylor, A Firs Course

More information

EXPLICIT TIME INTEGRATORS FOR NONLINEAR DYNAMICS DERIVED FROM THE MIDPOINT RULE

EXPLICIT TIME INTEGRATORS FOR NONLINEAR DYNAMICS DERIVED FROM THE MIDPOINT RULE Version April 30, 2004.Submied o CTU Repors. EXPLICIT TIME INTEGRATORS FOR NONLINEAR DYNAMICS DERIVED FROM THE MIDPOINT RULE Per Krysl Universiy of California, San Diego La Jolla, California 92093-0085,

More information

On a Fractional Stochastic Landau-Ginzburg Equation

On a Fractional Stochastic Landau-Ginzburg Equation Applied Mahemaical Sciences, Vol. 4, 1, no. 7, 317-35 On a Fracional Sochasic Landau-Ginzburg Equaion Nguyen Tien Dung Deparmen of Mahemaics, FPT Universiy 15B Pham Hung Sree, Hanoi, Vienam dungn@fp.edu.vn

More information

STATE-SPACE MODELLING. A mass balance across the tank gives:

STATE-SPACE MODELLING. A mass balance across the tank gives: B. Lennox and N.F. Thornhill, 9, Sae Space Modelling, IChemE Process Managemen and Conrol Subjec Group Newsleer STE-SPACE MODELLING Inroducion: Over he pas decade or so here has been an ever increasing

More information

2 int T. is the Fourier transform of f(t) which is the inverse Fourier transform of f. i t e

2 int T. is the Fourier transform of f(t) which is the inverse Fourier transform of f. i t e PHYS67 Class 3 ourier Transforms In he limi T, he ourier series becomes an inegral ( nt f in T ce f n f f e d, has been replaced by ) where i f e d is he ourier ransform of f() which is he inverse ourier

More information

New effective moduli of isotropic viscoelastic composites. Part I. Theoretical justification

New effective moduli of isotropic viscoelastic composites. Part I. Theoretical justification IOP Conference Series: Maerials Science and Engineering PAPE OPEN ACCESS New effecive moduli of isoropic viscoelasic composies. Par I. Theoreical jusificaion To cie his aricle: A A Sveashkov and A A akurov

More information

CHANGE IN THE RESISTANCE OF THE SEMICONDUCTOR IN THE VARIABLE DEFORMATION FIELD

CHANGE IN THE RESISTANCE OF THE SEMICONDUCTOR IN THE VARIABLE DEFORMATION FIELD CHANGE IN THE RESISTANCE OF THE SEMICONDUCTOR IN THE VARIABLE DEFORMATION FIELD M. AHMETOGLU (AFRAILOV) 1, G. GULYAMOV 2, S. H. SHAMIRZAEV 2, A. G. GULYAMOV 2, M. G. DADAMIRZAEV 2, N. APRAILOV 2, F. KOÇAK

More information

where the coordinate X (t) describes the system motion. X has its origin at the system static equilibrium position (SEP).

where the coordinate X (t) describes the system motion. X has its origin at the system static equilibrium position (SEP). Appendix A: Conservaion of Mechanical Energy = Conservaion of Linear Momenum Consider he moion of a nd order mechanical sysem comprised of he fundamenal mechanical elemens: ineria or mass (M), siffness

More information

Solutions to Assignment 1

Solutions to Assignment 1 MA 2326 Differenial Equaions Insrucor: Peronela Radu Friday, February 8, 203 Soluions o Assignmen. Find he general soluions of he following ODEs: (a) 2 x = an x Soluion: I is a separable equaion as we

More information

Lecture 14. The term Brownian motion derives its name from the botanist Robert Brown whom, in 1828, made careful

Lecture 14. The term Brownian motion derives its name from the botanist Robert Brown whom, in 1828, made careful Lecure 4. Brownian moion. Einsein-Smoluhowski heory of he Brownian moion. Langevin heory of he Brownian moion Approach o equilibrium: Foker-Planck equaion. The flucuaion-dissipaion heorem. The erm Brownian

More information

Keywords: thermal stress; thermal fatigue; inverse analysis; heat conduction; regularization

Keywords: thermal stress; thermal fatigue; inverse analysis; heat conduction; regularization Proceedings Inverse Analysis for Esimaing Temperaure and Residual Sress Disribuions in a Pipe from Ouer Surface Temperaure Measuremen and Is Regularizaion Shiro Kubo * and Shoki Taguwa Deparmen of Mechanical

More information

IMPROVED HYPERBOLIC FUNCTION METHOD AND EXACT SOLUTIONS FOR VARIABLE COEFFICIENT BENJAMIN-BONA-MAHONY-BURGERS EQUATION

IMPROVED HYPERBOLIC FUNCTION METHOD AND EXACT SOLUTIONS FOR VARIABLE COEFFICIENT BENJAMIN-BONA-MAHONY-BURGERS EQUATION THERMAL SCIENCE, Year 015, Vol. 19, No. 4, pp. 1183-1187 1183 IMPROVED HYPERBOLIC FUNCTION METHOD AND EXACT SOLUTIONS FOR VARIABLE COEFFICIENT BENJAMIN-BONA-MAHONY-BURGERS EQUATION by Hong-Cai MA a,b*,

More information

Sensors, Signals and Noise

Sensors, Signals and Noise Sensors, Signals and Noise COURSE OUTLINE Inroducion Signals and Noise: 1) Descripion Filering Sensors and associaed elecronics rv 2017/02/08 1 Noise Descripion Noise Waveforms and Samples Saisics of Noise

More information

10. State Space Methods

10. State Space Methods . Sae Space Mehods. Inroducion Sae space modelling was briefly inroduced in chaper. Here more coverage is provided of sae space mehods before some of heir uses in conrol sysem design are covered in he

More information

Heat kernel and Harnack inequality on Riemannian manifolds

Heat kernel and Harnack inequality on Riemannian manifolds Hea kernel and Harnack inequaliy on Riemannian manifolds Alexander Grigor yan UHK 11/02/2014 onens 1 Laplace operaor and hea kernel 1 2 Uniform Faber-Krahn inequaliy 3 3 Gaussian upper bounds 4 4 ean-value

More information

Numerical Dispersion

Numerical Dispersion eview of Linear Numerical Sabiliy Numerical Dispersion n he previous lecure, we considered he linear numerical sabiliy of boh advecion and diffusion erms when approimaed wih several spaial and emporal

More information

CHEMICAL KINETICS: 1. Rate Order Rate law Rate constant Half-life Temperature Dependence

CHEMICAL KINETICS: 1. Rate Order Rate law Rate constant Half-life Temperature Dependence CHEMICL KINETICS: Rae Order Rae law Rae consan Half-life Temperaure Dependence Chemical Reacions Kineics Chemical ineics is he sudy of ime dependence of he change in he concenraion of reacans and producs.

More information

Announcements: Warm-up Exercise:

Announcements: Warm-up Exercise: Fri Apr 13 7.1 Sysems of differenial equaions - o model muli-componen sysems via comparmenal analysis hp//en.wikipedia.org/wiki/muli-comparmen_model Announcemens Warm-up Exercise Here's a relaively simple

More information

2. Nonlinear Conservation Law Equations

2. Nonlinear Conservation Law Equations . Nonlinear Conservaion Law Equaions One of he clear lessons learned over recen years in sudying nonlinear parial differenial equaions is ha i is generally no wise o ry o aack a general class of nonlinear

More information

Hamilton- J acobi Equation: Weak S olution We continue the study of the Hamilton-Jacobi equation:

Hamilton- J acobi Equation: Weak S olution We continue the study of the Hamilton-Jacobi equation: M ah 5 7 Fall 9 L ecure O c. 4, 9 ) Hamilon- J acobi Equaion: Weak S oluion We coninue he sudy of he Hamilon-Jacobi equaion: We have shown ha u + H D u) = R n, ) ; u = g R n { = }. ). In general we canno

More information

The Contradiction within Equations of Motion with Constant Acceleration

The Contradiction within Equations of Motion with Constant Acceleration The Conradicion wihin Equaions of Moion wih Consan Acceleraion Louai Hassan Elzein Basheir (Daed: July 7, 0 This paper is prepared o demonsrae he violaion of rules of mahemaics in he algebraic derivaion

More information

Lecture 9: Advanced DFT concepts: The Exchange-correlation functional and time-dependent DFT

Lecture 9: Advanced DFT concepts: The Exchange-correlation functional and time-dependent DFT Lecure 9: Advanced DFT conceps: The Exchange-correlaion funcional and ime-dependen DFT Marie Curie Tuorial Series: Modeling Biomolecules December 6-11, 2004 Mark Tuckerman Dep. of Chemisry and Couran Insiue

More information

6.2 Transforms of Derivatives and Integrals.

6.2 Transforms of Derivatives and Integrals. SEC. 6.2 Transforms of Derivaives and Inegrals. ODEs 2 3 33 39 23. Change of scale. If l( f ()) F(s) and c is any 33 45 APPLICATION OF s-shifting posiive consan, show ha l( f (c)) F(s>c)>c (Hin: In Probs.

More information

Physics for Scientists & Engineers 2

Physics for Scientists & Engineers 2 Direc Curren Physics for Scieniss & Engineers 2 Spring Semeser 2005 Lecure 16 This week we will sudy charges in moion Elecric charge moving from one region o anoher is called elecric curren Curren is all

More information

R t. C t P t. + u t. C t = αp t + βr t + v t. + β + w t

R t. C t P t. + u t. C t = αp t + βr t + v t. + β + w t Exercise 7 C P = α + β R P + u C = αp + βr + v (a) (b) C R = α P R + β + w (c) Assumpions abou he disurbances u, v, w : Classical assumions on he disurbance of one of he equaions, eg. on (b): E(v v s P,

More information

Option pricing and implied volatilities in a 2-hypergeometric stochastic volatility model

Option pricing and implied volatilities in a 2-hypergeometric stochastic volatility model Opion pricing and implied volailiies in a 2-hypergeomeric sochasic volailiy model Nicolas Privaul Qihao She Division of Mahemaical Sciences School of Physical and Mahemaical Sciences Nanyang Technological

More information

Undetermined coefficients for local fractional differential equations

Undetermined coefficients for local fractional differential equations Available online a www.isr-publicaions.com/jmcs J. Mah. Compuer Sci. 16 (2016), 140 146 Research Aricle Undeermined coefficiens for local fracional differenial equaions Roshdi Khalil a,, Mohammed Al Horani

More information

Nature of superconducting fluctuation in photo-excited systems

Nature of superconducting fluctuation in photo-excited systems Naure of superconducing flucuaion in phoo-excied sysems Ryua Iwazaki, Naoo suji and Shinaro Hoshino Deparmen of Physics, Saiama Universiy, Shimo-Okubo, Saiama 338-857, Japan RIKEN ener for Emergen Maer

More information

Class Notes 1: Introduction. MAE 82 Engineering Mathematics

Class Notes 1: Introduction. MAE 82 Engineering Mathematics Class Noes 1: Inroducion MAE 82 Engineering Mahemaics CHANGE Rae of Change Basic Mahemaical Models Man of he principles or laws underling he behavior of he naural world are saemens or relaions involving

More information

Plasma Astrophysics Chapter 3: Kinetic Theory. Yosuke Mizuno Institute of Astronomy National Tsing-Hua University

Plasma Astrophysics Chapter 3: Kinetic Theory. Yosuke Mizuno Institute of Astronomy National Tsing-Hua University Plasma Asrophysics Chaper 3: Kineic Theory Yosuke Mizuno Insiue o Asronomy Naional Tsing-Hua Universiy Kineic Theory Single paricle descripion: enuous plasma wih srong exernal ields, imporan or gaining

More information

Stochastic Processes. A. Bassi. RMP 85, April-June Appendix

Stochastic Processes. A. Bassi. RMP 85, April-June Appendix Sochasic Processes A. Bassi RMP 85, April-June 213 - Appendix The bes known example of a sochasic process is Brownian moion : random moion of small paricles suspended in a liquid, under he influence of

More information

- If one knows that a magnetic field has a symmetry, one may calculate the magnitude of B by use of Ampere s law: The integral of scalar product

- If one knows that a magnetic field has a symmetry, one may calculate the magnitude of B by use of Ampere s law: The integral of scalar product 11.1 APPCATON OF AMPEE S AW N SYMMETC MAGNETC FEDS - f one knows ha a magneic field has a symmery, one may calculae he magniude of by use of Ampere s law: The inegral of scalar produc Closed _ pah * d

More information

Fractional Method of Characteristics for Fractional Partial Differential Equations

Fractional Method of Characteristics for Fractional Partial Differential Equations Fracional Mehod of Characerisics for Fracional Parial Differenial Equaions Guo-cheng Wu* Modern Teile Insiue, Donghua Universiy, 188 Yan-an ilu Road, Shanghai 51, PR China Absrac The mehod of characerisics

More information

Nature Neuroscience: doi: /nn Supplementary Figure 1. Spike-count autocorrelations in time.

Nature Neuroscience: doi: /nn Supplementary Figure 1. Spike-count autocorrelations in time. Supplemenary Figure 1 Spike-coun auocorrelaions in ime. Normalized auocorrelaion marices are shown for each area in a daase. The marix shows he mean correlaion of he spike coun in each ime bin wih he spike

More information

Chapter 7 Response of First-order RL and RC Circuits

Chapter 7 Response of First-order RL and RC Circuits Chaper 7 Response of Firs-order RL and RC Circuis 7.- The Naural Response of RL and RC Circuis 7.3 The Sep Response of RL and RC Circuis 7.4 A General Soluion for Sep and Naural Responses 7.5 Sequenial

More information

arxiv: v1 [physics.data-an] 14 Dec 2015

arxiv: v1 [physics.data-an] 14 Dec 2015 1/ noise rom he nonlinear ransormaions o he variables Bronislovas Kaulakys, Miglius Alaburda, and Julius Ruseckas Insiue o Theoreical Physics and Asronomy, Vilnius Universiy, A. Gošauo 1, 118 Vilnius,

More information

Algorithm Analysis of Numerical Solutions to the Heat Equation

Algorithm Analysis of Numerical Solutions to the Heat Equation Inernaional Journal of Compuer Applicaions (97 8887) Volume 79 No, Ocober Algorihm Analysis of Numerical Soluions o he Hea Equaion Edmund Agyeman Deparmen of Mahemaics, Kwame Nkrumah Universiy of Science

More information