and reconizin that we obtain the followin equation for ~x (s): ~q(s) = ~x = dt e?st q(t) dt e?st x (t) dt e?st x (t) = s ~x (s)? sx ()? _x () or (s +!
|
|
- Augusta Wade
- 6 years ago
- Views:
Transcription
1 G5.65: Statistical Mechanics Notes for Lecture 4 I. THE HARMONIC BATH HAMILTONIAN In the theory of chemical reactions, it is often possible to isolate a small number or even a sinle deree of freedom in the system that can be used to characterize the reaction. This deree of freedom is coupled to other derees of freedom (for example, reactions often take place in solution). Isomerization or dissociation of a diatomic molecule in solution is an excellent example of this type of system. The deree of freedom of paramount interest is the distance between the two atoms of the molecule { this is the deree of freedom whose detailed dynamics we would like to elucidate. The dynamics of the \bath" or environment to which is couples is less interestin, but still must be accounted for in some manner. A model that has maintained a certain level of both popularity and success is the so called \harmonic bath" model, in which the environment to which the special deree(s) of freedom couple is replaced by an eective set of harmonic oscillators. We will examine this model for the case of a sinle deree of freedom of interest, which we will desinate q. For the case of the isomerizin or dissociatin diatomic, q could be the coordinate r? hri, where r is the distance between the atoms. The particular denition of q ensures that hqi =. The deree of freedom q is assumed to couple to the bath linearly, ivin a Hamiltonian of the form H = p m + (q) + X " p m + m! x + q where the index runs over all the bath derees of freedom,! are the harmonic bath frequencies, m are the harmonic bath masses, and are the couplin constants between the bath and the coordinate q. p is a momentum conjuate to q, and m is the mass associated with this deree of freedom (e.., the reduced mass in the case of a diatomic). The coordinate q is assumed to be subject to a potential (q) as well (e.., an internal bond potential). The form of the couplin between the system (q) and the bath (x ) is known as bilinear. Below, usin a completely classical treatment of this Hamiltonian, we will derive an equation for the detailed dynamics of q alone. This equation is known as the eneralized Lanevin equation (GLE). # II. DERIVATION OF THE GLE The GLE can be derived from the harmonic bath Hamiltonian by simply solvin Hamilton's equations of motion, which take the form _q = p m _p X x? m! q _x = p m _p =? x? q This set of equations can also be written as second order dierential equation: mq x? m x =? x? q X q In order to derive an equation for q, we solve explicitly for the dynamics of the bath variables and then substitute into the equation for q. The equation for x is a second order inhomoeneous dierential equation, which can be solved by Laplace transforms. We simply take the Laplace transform of both sides. Denote the Laplace transforms of q and x as
2 and reconizin that we obtain the followin equation for ~x (s): ~q(s) = ~x = dt e?st q(t) dt e?st x (t) dt e?st x (t) = s ~x (s)? sx ()? _x () or (s +! )~x (s) = sx () + _x ()? m ~q(s) s ~x (s) = s +! x () + s +! _x ()? m ~q(s) s +! x (t) can be obtained by inverse Laplace transformation, which is equivalent to a contour interal in the complex s-plane around a contour that encloses all the poles of the interand. This contour is known as the Bromwich contour. To see how this works, consider the rst term in the above expression. The inverse Laplace transform is i I se st ds s +! = i I se st ds (s + i! )(s? i! ) The interand has two poles on the imainary s-axis at i!. Interation over the contour that encloses these poles picks up both residues from these poles. Since the poles are simple poles, then, from the residue theorem: I se st ds i (s + i! )(s? i! ) = i! e i!t i +?i! e?i!t = cos! t i i!?i! By the same method, the second term will ive (sin! t)=!. The last term is the inverse Laplace transform of a product of ~q(s) and =(s +! ). From the convolution theorem of Laplace transforms, the Laplace transform of a convolution ives the product of Laplace transforms: dt e?st d f()(t? ) = ~ f(s)~(s) Thus, the last term will be the convolution of q(t) with (sin! t)=!. Puttin these results toether, ives, as the solution for x (t): Z x (t) = x () cos! t + _x () sin! t? t! dq() sin! (t? ) The convolution term can be expressed in terms of _q rather than q by interatin it by parts: Z t d q() sin! (t? ) = [q(t)? q() cos! t]? d _q() cos! (t? ) The reasons for preferrin this form will be made clear shortly. The bath variables can now be seen to evolve accordin to Z x (t) = x () cos! t + _x () sin! t + t! d _q() cos! (t? )? [q(t)? q() cos! t] Substitutin this into the equation of motion for q, we nd mq x () cos! t + p () sin! t + q() cos! t? X We now introduce the followin notation for the sums over bath modes appearin in this equation: d _q() cos! (t?)+ X q(t)?
3 . Dene a dynamic friction kernel (t) = X cos! t. Dene a random force R(t) =? X x () + q() cos! t + p () sin! t Usin these denitions, the equation of motion for q reads d _q()(t? ) + R(t) () Eq. () is known as the eneralized Lanevin equation. Note that it takes the form of a one-dimensional particle subject to a potential (q), driven by a forcin function R(t) and with a nonlocal (in time) dampin term?r t d _q()(t?), which depends, in eneral, on the entire history of the evolution of q. The GLE is often taken as a phenomenoloical equation of motion for a coordinate q coupled to a eneral bath. In this spirit, it is worth takin a moment to discuss the physical meanin of the terms appearin in the equation. III. PROPERTIES OF THE GLE Below we discuss the physical meanin of the terms appearin the GLE A. The random force term Within the context of a harmonic bath, the term \random force" is somethin of a misnomer, since R(t) is completely deterministic and not random at all!!! We will return to this point momentarily, however, let us examine particular features of R(t) from its explicit expression from the harmonic bath dynamics. Note, rst of all, that it does not depend on the dynamics of the system coordinate q (except for the appearance of q()). In this sense, it is independent or \orthoonal" to q within a phase space picture. From the explicit form of R(t), it is straihtforward to see that the correlation function h _q()r(t)i = i.e., the correlation function of the system velocity _q with the random force is. This can be seen by substitutin in the expression for R(t) and interatin over initial conditions with a canonical distribution weihtin. For certain potentials (q) that are even in q (such as a harmonic oscillator), one can also show that hq()r(t)i = Thus, R(t) is completely uncorrelated from both q and _q, which is a property we miht expect from a truly random process. In fact, R(t) is determined by the detailed dynamics of the bath. However, we are not particularly interested or able to follow these detailed dynamics for a lare number of bath derees of freedom. Thus, we could just as well model R(t) by a completely random process (satisfyin certain desirable features that are characteristic of a more eneral bath), and, in fact, this is often done. One could, for example, postulate that R(t) act over a maximum time t max at discrete points in time kt, ivin N = t max =t values of R k = R(kt), and assume that R k takes the form of a aussian random process: R k = NX j= ha j e ijk=n + b j e?ijk=ni where the coecients fa j and fb j are chosen at random from a aussian distribution function. This miht be expected to be suitable for a bath of hih density, where stron collisions between the system and a bath particle are essentially nonexistent, but where the system only sees feels the relatively \soft" uctuations of the less mobile bath. For a low density bath, one miht try modelin R(t) as a Poisson process of very stron collisions. Whatever model is chosen for R(t), if it is a truly random process that can only act at discrete points in time, then the GLE takes the form of a stochastic (based on random numbers) intero-dierential equation. There is a whole body of mathematics devoted to the properties of such equations, where heavy use of an It^o calculus is made. 3
4 B. The dynamic friction kernel The convolution interal term d _q()(t? ) is called the memory interal because it depends, in eneral, on the entire history of the evolution of q. Physically it expresses the fact that the bath requires a nite time to respond to any uctuation in the motion of the system (q). This, in turn, aects how the bath acts back on the system. Thus, the force that the bath exerts on the system presently depends on what the system coordinate q did in the past. However, we have seen previously the reression of uctuations (their decay to ) over time. Thus, we expect that what the system did very far in the past will no loner the force it feels presently, i.e., that the lower limit of the memory interal (which is riorously ) could be replaced by t? t mem, where t mem is the maximum time over which memory of what the system coordinate did in the past is important. This can be interpreted as a indicatin a certain decay time for the friction kernel (t). In fact, (t) often does decay to in a relatively short time. Often this decay takes the form of a rapid initial decay followed by a slow nal decay, as shown in the ure below: Consider the extreme case that the bath is capable of respondin innitely quickly to chanes in the system coordinate q. This would be the case, for example, if there were a lare mass disparity between the system and the bath (m >> m ). Then, the bath retains no memory of what the system did in the past, and we could take (t) to be a -function in time: Then (t) = (t) and the GLE becomes d _q()(t? ) = d _q(t? )() = _q + R(t) d () _q(t? ) = _q(t) This simpler equation of motion is known as the Lanevin equation and it is clearly a special case of the more eneralized equation of motion. It is often invoked to describe brownian motion where clearly such a mass disparity is present. The constant is known as the static friction and is iven by = dt (t) In fact, this is a eneral relation for determinin the static friction constant. The other extreme is a very sluish bath that responds slowly to chanes in the system coordinate. In this case, we may take (t) to be a constant (), at least, for times short compared to the response time of the bath. Then, the memory interal becomes and the GLE becomes d _q()(t? ) (q(t)? q()) (q) + (q? q ) + R(t) where the friction term now manifests itself as an extra harmonic term added to the potential. Such a term has the eect of trappin the system in certain reions of conuration space, an eect known as dynamic cain. An example of this is a dilute mixture of small, liht particles in a bath of heavy, lare particles. The liht particles can et trapped in reions of space where many bath particles are in a sort of spatial \cae." Only the rare uctuations in the bath that open up larer holes in conuration space allow the liht particles to escape the cae, occasionally, after which, they often et trapped aain in a new cae for a similar time interval. 4
5 C. Relation between the dynamic friction kernel and the random force From the denitions of R(t) and (t), it is straihtforward to show that there is a relation between them of the form hr()r(t)i = kt (t) This relation is known as the second uctuation dissipation theorem. The fact that it involves a simple autocorrelation function of the random force is particular to the harmonic bath model. We will see later that a more eneral form of this relation exists, valid for a eneral bath. This relation must be kept in mind when introducin models for R(t) and (t). In eect, it acts as a constraint on the possible ways in which one can model the random force and friction kernel. IV. MORI-ZWANZIG THEORY: A MORE GENERAL DERIVATION OF THE GLE A derivation of the GLE valid for a eneral bath can be worked out. The details of the derivation are iven in the book by Berne and Pecora called Dynamic Liht Scatterin. The system coordinate q and its conjuate momentum p are introduced as a column vector: A = and, in addition, one introduces statistical projection operators P and Q that project onto subspaces in phase space parallel and orthoonal to A. These operators take the form q p P = h:::a T ihaa T i? Q = I? P These operators are Hermitian and satisfy the property of idempotency: Also, note that P = P Q = Q P A = A QA = The time evolution of A is iven by application of the classical propaator: A(t) = e ilt A() Note that the evolution of A is unitary, i.e., it preserves the norm of A: ja(t)j = ja()j Dierentiatin both sides of the time evolution equation for A ives: da dt = eilt ila() Then, an identity operator is inserted in the above expression in the form I = P + Q: da dt = eilt (P + Q)iLA() = e ilt P ila() + e ilt QiLA() The rst term in this expression denes a frequency matrix actin on A: 5
6 e ilt P ila() = e ilt hilaa T ihaa T i? A = hilaa T ihaa T i? e ilt A = hilaa T ihaa T i? A(t) ia(t) where = hlaa T ihaa T i? In order to evaluate the second term, another identity operator is inserted directly into the propaator: Consider the dierence between the two propaators: If this dierence is Laplace transformed, it becomes which can be simplied via the eneral operator identity: Lettin we have or e ilt i(p +Q)Lt = e e ilt? e iqlt (s? il)?? (s? iql)? A?? B? = A? (B? A)B? A = (s? il) B = (s? iql) (s? il)?? (s? iql)? = (s? il)? (s? iql? s + il)(s? iql)? = (s? il)? ip L(s? iql)? (s? il)? = (s? iql)? + (s? il)? (s? iql? s + il)(s? iql)? Now, inverse Laplace transformin both sides ives e ilt = e iqlt + d e il(t? ) ip Le iql Thus, multiplyin fromthe riht by QiLA ives e ilt QiLA = e iqlt QiLA + d e il(t? ) ip Le iql QiLA Dene a vector F(t) = e iqlt QiLA() so that e ilt QiLA = F(t) + d hilf()a T ihaa T i? A(t? ) 6
7 Because F(t) is completely orthoonal to A(t), it is straihtforward to show that QF(t) = F(t) Then, hilf()a T ihaa T i? A = hilqf()a T ihaa T i? A =?hqf()(ila) T ihaa T i? A =?hq F()(iLA) T ihaa T i? A =?hqf()(qila) T ihaa T i? A Thus, e ilt QiLA = F(t)? Finally, we dene a memory kernel matrix: Then, combinin all results, we nd, for da=dt: =?hf()f T ()ihaa T i? A d hf()f T ()ihaa T i? A(t? ) K(t) = hf()f T ()ihaa T i? Z da t dt = i(t)a? d K()A(t? ) + F(t) which equivalent to a eneralized Lanevin equation for a particle subject to a harmonic potential, but coupled to a eneral bath. For most systems, the quantities appearin in this form of the eneralized Lanevin equation are =m i =?m! K(t) = (t)=m F(t) = R(t) It is easy to derive these expressions for the case of the harmonic bath Hamiltonian when (q) = m! q =. For the case of a harmonic bath Hamiltonian, we had shown that the friction kernel was related to the random force by the uctuation dissipation theorem: hr()r(t)i = hr()e ilt R()i = kt (t) For a eneral bath, the relation is not as simple, owin to the fact that F(t) is evolved usin a modied propaator exp(iqlt). Thus, the more eneral form of the uctuation dissipation theorem is hr()e iqlt R()i = kt (t) so that the dynamics of R(t) is prescribed by the propaator exp(iqlt). This more eneral relation illustrates the diculty of denin a friction kernel for a eneral bath. However, for the special case of a sti harmonic diatomic molecule interactin with a bath for which all the modes are soft compared to the frequency of the diatomic, a very useful approximation results. One can show that hr()e iqlt R()i hr()e ilconst R()i where il cons is the Liouville operator for a system in which the diatomic is held riidly xed at some particular bond lenth (i.e., a constrained dynamics). Since the friction kernel is not sensitive to the details of the internal potential of the diatomic, this approximation can also be used for diatomics with sti, anharmonic potentials. This approximation is referred to as the riid bond approximation (see Berne, et al, J. Chem. Phys. 93, 584 (99)). 7
8 V. EXAMPLE: VIBRATIONAL DEPHASING AND ENERGY RELAXATION Recall that the Fourier transform of a time correlation function can be related to some kind of frequency spectrum. For example, the Fourier transform of the velocity autocorrelation function of a particular deree of freedom q of interest C vv (t) = h _q() _q(t)i h _q i where v = _q, ives the relevant frequencies contributin to the dynamics of q, but does not ive amplitudes. This \frequency" spectrum I(!) is simply iven by I(!) = dt e i!t C vv (t) That is, we take the Laplace transform of C vv (t) usin s =?i!. Since C vv (t) carries information about the relevant frequencies of the system, the decay of C vv (t) in time is a measure of how stronly coupled the motion of q is to the rest of the bath, i.e., how much of an overlap there is between the relevant frequencies of the bath and those of q. The more of an overlap there is, the more mixin there will be between the system and the bath, and hence, the more rapidly the motion of the system will become vibrationally \out of phase" or decorrelated with itself. Thus, the decay time of C vv (t), which is denoted T is called the vibrational dephasin time. Another measure of the strenth of the couplin between the system and the bath is the time required for the system to dissipate enery into the bath when it is excited away from equilibrium. This time can be obtained by studyin the decay of the enery autocorrelation function: where "(t) is dened to be C "" = h"()"(t)i h" i "(t) = m _q + (q)? kt The decay time of this correlation function is denoted T. The question then becomes: what are these characteristic decay times and how are they related? To answer this, we will take a phenomenoloical approach. We will assume the validity of the GLE for q: and use it to calculate T and T. Suppose the potential (q) is harmonic and takes the form d _q()(t? ) + R(t) (q) = m! q Substitutin into the GLE and dividin throuh by m ives where q =?! q? (t) = (t) m d _q(t? )() + f(t) f(t) = R(t) m An equation of motion for C vv (t) can be obtained directly by multiplyin both sides of the GLE by _q() and averain over a canonical ensemble: h _q()q(t)i =?! h _q()q(t)i? d h _q() _q(t? )i() + h _q()f(t)i 8
9 Recall that h _q()f(t)i = m h _q()r(t)i = and note that also Thus, h _q()q(t)i = d dt h _q() _q(t)i = dc vv dt d h _q() _q()i = h _q()q(t)i? h _q()q()i = h _q()q(t)i h _q()q(t)i = Combinin these results ives an equation for C vv (t) d C vv () Z d t dt C vv(t) =? Z d t dt C vv(t) =? d K(t? )C vv () d?! + (t? ) C vv () which is known as the memory function equation and the kernel K(t) is known as the memory function or memory kernel. This type of intero-dierential equation is called a Volterra equation and it can be solved by Laplace transforms. Takin the Laplace transform of both sides ives However, it is clear that C vv () = and also s ~ Cvv (s)? C vv () =? ~ Cvv (s) ~ K(s) Thus, it follows that ~K(s) =! s + ~(s) s Cvv ~! (s)? = s + ~(s) ~C vv (s) s ~C vv (s) = s + s~(s) +! In order to perform the inverse Laplace transform, we need the poles of the interand, which will be determined by the solutions of s + s~(s) +! = which we could solve directly if we knew the explicit form of ~(s). However, if! is suciently larer than ~(), then it is possible to develop a perturbation solution to this equation. Let us assume the solutions for s can be written as Substitutin in this ansatz ives s = s + s + s + (s + s + s + ) + (s + s + s + )~(s + s + s + ) +! = Since we are assumin ~ is small, then to lowest order, we have 9
10 so that s =!. The rst order equation then becomes s +! = s s + s ~(s ) = or Note, however, that s =? ~(s ) =? ~(i!) ~(i!) = dt (t)e i!t = dt [(t) cos!t i(t) sin!t] (!) i (!) Thus, stoppin the rst order result, the poles of the interand occur at Dene Then s i (! + (!))? (!) s + = i? (!) s? =?i? (!) ~C vv (s) s (s? s + )(s? s? ) i? (!) and C vv (t) is then iven by the contour interal C vv (t) = i I se st ds (s? s + )(s? s? ) Takin the residue at each pole, we nd which can be simplied to ive C vv (t) = s +e s+t (s +? s? ) + s?e s?t (s?? s + ) C vv (t) = e? (!)t= cos t? (!) sin t Thus, we see that the GLE predicts C vv (t) oscillates with a frequency and decays exponentially. From the exponential decay, we can directly read o the time T : = (!) T = (!) m That is, the value of the real part of the Fourier (Laplace) transform of the friction kernel evaluated at the renormalized frequency divided by m ives the vibrational dephasin time! By a similar scheme, one can easily show that the position autocorrelation function C qq (t) = hq()q(t)i decays with the same dephasin time. It's explicit form is C qq (t) = e? (!)t= cos t + (!) sin t
11 The enery autocorrelation function C "" (t) can be expressed in terms of the more primitive correlation functions C qq (t) and C vv (t). It is a straihtforward, althouh extremely tedious, matter to show that the relation, valid for the harmonic potential of mean force, is C "" (t) = C vv(t) + C qq(t) +! _ C qq(t) Substitutin in the expressions for C qq (t) and C vv (t) ives so that the decay time T can be seen to be C "" (t) = e? (!)t (oscillatory functions of t) = (!) = (!) T m and therefore, the relation between T and T can be seen immediately to be T = T The incredible fact is that this result is also true quantum mechanically. That is, by doin a simple, purely classical treatment of the problem, we obtained a result that turns out to be the correct quantum mechanical result! Just how bi are these times? If! is very lare compared to any typical frequency relevant to the bath, then the friction kernel evaluated at this frequency will be extremely small, ivin rise to a lon decay time. This result is expect, since, if! is lare compared to the bath, there are very few ways in which the system can dissipate enery into the bath. The situation chanes dramatically, however, if a small amount of anharmonicity is added to the potential of mean force. The ure below illustrates the point for a harmonic diatomic molecule interactin with a Lennard-Jones bath. The top ure shows the velocity autocorrelation function for an oscillator whose frequency is approximately 3 times the characteristic frequency of the bath, while the bottom one shows the velocity autocorrelation function for the case that the frequency disparity is a factor of 6.
12 FIG..
in order to insure that the Liouville equation for f(?; t) is still valid. These equations of motion will give rise to a distribution function f(?; t)
G25.2651: Statistical Mechanics Notes for Lecture 21 Consider Hamilton's equations in the form I. CLASSICAL LINEAR RESPONSE THEORY _q i = @H @p i _p i =? @H @q i We noted early in the course that an ensemble
More informationExperiment 3 The Simple Pendulum
PHY191 Fall003 Experiment 3: The Simple Pendulum 10/7/004 Pae 1 Suested Readin for this lab Experiment 3 The Simple Pendulum Read Taylor chapter 5. (You can skip section 5.6.IV if you aren't comfortable
More informationG : Statistical Mechanics
G25.2651: Statistical Mechanics Notes for Lecture 15 Consider Hamilton s equations in the form I. CLASSICAL LINEAR RESPONSE THEORY q i = H p i ṗ i = H q i We noted early in the course that an ensemble
More informationTime-Dependent Statistical Mechanics 5. The classical atomic fluid, classical mechanics, and classical equilibrium statistical mechanics
Time-Dependent Statistical Mechanics 5. The classical atomic fluid, classical mechanics, and classical equilibrium statistical mechanics c Hans C. Andersen October 1, 2009 While we know that in principle
More information4. The Green Kubo Relations
4. The Green Kubo Relations 4.1 The Langevin Equation In 1828 the botanist Robert Brown observed the motion of pollen grains suspended in a fluid. Although the system was allowed to come to equilibrium,
More information11 Free vibrations: one degree of freedom
11 Free vibrations: one deree of freedom 11.1 A uniform riid disk of radius r and mass m rolls without slippin inside a circular track of radius R, as shown in the fiure. The centroidal moment of inertia
More informationChapter K. Oscillatory Motion. Blinn College - Physics Terry Honan. Interactive Figure
K. - Simple Harmonic Motion Chapter K Oscillatory Motion Blinn Collee - Physics 2425 - Terry Honan The Mass-Sprin System Interactive Fiure Consider a mass slidin without friction on a horizontal surface.
More informationDissipative Quantum Systems with Potential Barrier. General Theory and Parabolic Barrier. D Freiburg i. Br., Germany. D Augsburg, Germany
Dissipative Quantum Systems with Potential Barrier. General Theory and Parabolic Barrier Joachim Ankerhold, Hermann Grabert, and Gert-Ludwig Ingold 2 Fakultat fur Physik der Albert{Ludwigs{Universitat,
More informationConvergence of DFT eigenvalues with cell volume and vacuum level
Converence of DFT eienvalues with cell volume and vacuum level Sohrab Ismail-Beii October 4, 2013 Computin work functions or absolute DFT eienvalues (e.. ionization potentials) requires some care. Obviously,
More information2.3. PBL Equations for Mean Flow and Their Applications
.3. PBL Equations for Mean Flow and Their Applications Read Holton Section 5.3!.3.1. The PBL Momentum Equations We have derived the Reynolds averaed equations in the previous section, and they describe
More informationMechanics Cycle 3 Chapter 12++ Chapter 12++ Revisit Circular Motion
Chapter 12++ Revisit Circular Motion Revisit: Anular variables Second laws for radial and tanential acceleration Circular motion CM 2 nd aw with F net To-Do: Vertical circular motion in ravity Complete
More information10. Zwanzig-Mori Formalism
University of Rhode Island DigitalCommons@URI Nonequilibrium Statistical Physics Physics Course Materials 0-9-205 0. Zwanzig-Mori Formalism Gerhard Müller University of Rhode Island, gmuller@uri.edu Follow
More informationCh 14: Feedback Control systems
Ch 4: Feedback Control systems Part IV A is concerned with sinle loop control The followin topics are covered in chapter 4: The concept of feedback control Block diaram development Classical feedback controllers
More informationV DD. M 1 M 2 V i2. V o2 R 1 R 2 C C
UNVERSTY OF CALFORNA Collee of Enineerin Department of Electrical Enineerin and Computer Sciences E. Alon Homework #3 Solutions EECS 40 P. Nuzzo Use the EECS40 90nm CMOS process in all home works and projects
More informationHabits and Multiple Equilibria
Habits and Multiple Equilibria Lorenz Kuen and Eveny Yakovlev February 5, 2018 Abstract Abstract TBA. A Introduction Brief introduction TBA B A Structural Model of Taste Chanes Several structural models
More information2.2 Differentiation and Integration of Vector-Valued Functions
.. DIFFERENTIATION AND INTEGRATION OF VECTOR-VALUED FUNCTIONS133. Differentiation and Interation of Vector-Valued Functions Simply put, we differentiate and interate vector functions by differentiatin
More information5.74 Introductory Quantum Mechanics II
MIT OpenCourseWare http://ocw.mit.edu 5.74 Introductory Quantum Mechanics II Spring 9 For information about citing these materials or our Terms of Use, visit: http://ocw.mit.edu/terms. Andrei Tokmakoff,
More information10. Zwanzig-Mori Formalism
University of Rhode Island DigitalCommons@URI Nonequilibrium Statistical Physics Physics Course Materials 205 0. Zwanzig-Mori Formalism Gerhard Müller University of Rhode Island, gmuller@uri.edu Creative
More informationAdiabatic Approximation
Adiabatic Approximation The reaction of a system to a time-dependent perturbation depends in detail on the time scale of the perturbation. Consider, for example, an ideal pendulum, with no friction or
More informationEli Pollak and Alexander M. Berezhkovskii 1. Weizmann Institute of Science, Rehovot, Israel. Zeev Schuss
ACTIVATED RATE PROCESSES: A RELATION BETWEEN HAMILTONIAN AND STOCHASTIC THEORIES by Eli Pollak and Alexander M. Berehkovskii 1 Chemical Physics Department Weimann Institute of Science, 76100 Rehovot, Israel
More information5 Shallow water Q-G theory.
5 Shallow water Q-G theory. So far we have discussed the fact that lare scale motions in the extra-tropical atmosphere are close to eostrophic balance i.e. the Rossby number is small. We have examined
More informationWhat types of isometric transformations are we talking about here? One common case is a translation by a displacement vector R.
1. Planar Defects Planar defects: orientation and types Crystalline films often contain internal, -D interfaces separatin two reions transformed with respect to one another, but with, otherwise, essentially,
More informationBrownian Motion and Langevin Equations
1 Brownian Motion and Langevin Equations 1.1 Langevin Equation and the Fluctuation- Dissipation Theorem The theory of Brownian motion is perhaps the simplest approximate way to treat the dynamics of nonequilibrium
More information4.3. Solving Friction Problems. Static Friction Problems. Tutorial 1 Static Friction Acting on Several Objects. Sample Problem 1.
Solvin Friction Problems Sometimes friction is desirable and we want to increase the coefficient of friction to help keep objects at rest. For example, a runnin shoe is typically desined to have a lare
More informationwhere (E) is the partition function of the uniform ensemble. Recalling that we have (E) = E (E) (E) i = ij x (E) j E = ij ln (E) E = k ij ~ S E = kt i
G25.265: Statistical Mechanics Notes for Lecture 4 I. THE CLASSICAL VIRIAL THEOREM (MICROCANONICAL DERIVATION) Consider a system with Hamiltonian H(x). Let x i and x j be specic components of the phase
More informationStat260: Bayesian Modeling and Inference Lecture Date: March 10, 2010
Stat60: Bayesian Modelin and Inference Lecture Date: March 10, 010 Bayes Factors, -priors, and Model Selection for Reression Lecturer: Michael I. Jordan Scribe: Tamara Broderick The readin for this lecture
More informationCharged Current Review
SLAC-PUB-8943 July 2001 Chared Current Review S. H. Robertson Invited talk presented at the 6th International Workshop On Tau Lepton Physics (TAU 00), 9/18/2000 9/21/2000, Victoria, British Columbia, Canada
More informationNPTEL
NPTEL Syllabus Nonequilibrium Statistical Mechanics - Video course COURSE OUTLINE Thermal fluctuations, Langevin dynamics, Brownian motion and diffusion, Fokker-Planck equations, linear response theory,
More informationMode Coupling Theory for Normal and Supercooled Quantum Liquids
Mode Coupling Theory for Normal and Supercooled Quantum Liquids Eran Rabani School of Chemistry and the Multidisciplinary Center for Nanosciences and Nanotechnology Tel Aviv University Open Problems: Why
More informationAnother possibility is a rotation or reflection, represented by a matrix M.
1 Chapter 25: Planar defects Planar defects: orientation and types Crystalline films often contain internal, 2-D interfaces separatin two reions transformed with respect to one another, but with, otherwise,
More informationDerivation of the GENERIC form of nonequilibrium thermodynamics from a statistical optimization principle
Derivation of the GENERIC form of nonequilibrium thermodynamics from a statistical optimization principle Bruce Turkington Univ. of Massachusetts Amherst An optimization principle for deriving nonequilibrium
More informationMonte Carlo simulations of harmonic and anharmonic oscillators in discrete Euclidean time
Monte Carlo simulations of harmonic and anharmonic oscillators in discrete Euclidean time DESY Summer Student Programme, 214 Ronnie Rodgers University of Oxford, United Kingdom Laura Raes University of
More informationEfficient method for obtaining parameters of stable pulse in grating compensated dispersion-managed communication systems
3 Conference on Information Sciences and Systems, The Johns Hopkins University, March 12 14, 3 Efficient method for obtainin parameters of stable pulse in ratin compensated dispersion-manaed communication
More informationLIMITATIONS TO INPUT-OUTPUT ANALYSIS OF. Rensselaer Polytechnic Institute, Howard P. Isermann Department of Chemical Engineering, Troy,
LIMITATIONS TO INPUT-OUTPUT ANALYSIS OF CASCADE CONTROL OF UNSTABLE CHEMICAL REACTORS LOUIS P. RUSSO and B. WAYNE BEQUETTE Rensselaer Polytechnic Institute, Howard P. Isermann Department of Chemical Enineerin,
More informationCritical phenomena associated with self-orthogonality in non-hermitian quantum mechanics
EUROPHYSICS LETTERS 15 June 23 Europhys. Lett., 62 (6), pp. 789 794 (23) Critical phenomena associated with self-orthoonality in non-hermitian quantum mechanics E. Narevicius 1,P.Serra 2 and N. Moiseyev
More informationIn-class exercises Day 1
Physics 4488/6562: Statistical Mechanics http://www.physics.cornell.edu/sethna/teaching/562/ Material for Week 11 Exercises due Mon Apr 16 Last correction at April 16, 2018, 11:19 am c 2018, James Sethna,
More informationONLINE: MATHEMATICS EXTENSION 2 Topic 6 MECHANICS 6.3 HARMONIC MOTION
ONINE: MATHEMATICS EXTENSION Topic 6 MECHANICS 6.3 HARMONIC MOTION Vibrations or oscillations are motions that repeated more or less reularly in time. The topic is very broad and diverse and covers phenomena
More informationMD Thermodynamics. Lecture 12 3/26/18. Harvard SEAS AP 275 Atomistic Modeling of Materials Boris Kozinsky
MD Thermodynamics Lecture 1 3/6/18 1 Molecular dynamics The force depends on positions only (not velocities) Total energy is conserved (micro canonical evolution) Newton s equations of motion (second order
More informationA complex variant of the Kuramoto model
A complex variant of the Kuramoto model Piet Van Miehem Delft University of Technoloy Auust, 009 Abstract For any network topoloy, we investiate a complex variant of the Kuramoto model, whose real part
More informationExperiment 1: Simple Pendulum
COMSATS Institute of Information Technoloy, Islamabad Campus PHY-108 : Physics Lab 1 (Mechanics of Particles) Experiment 1: Simple Pendulum A simple pendulum consists of a small object (known as the bob)
More informationHomework # 2. SOLUTION - We start writing Newton s second law for x and y components: F x = 0, (1) F y = mg (2) x (t) = 0 v x (t) = v 0x (3)
Physics 411 Homework # Due:..18 Mechanics I 1. A projectile is fired from the oriin of a coordinate system, in the x-y plane (x is the horizontal displacement; y, the vertical with initial velocity v =
More informationCanonical transformations (Lecture 4)
Canonical transformations (Lecture 4) January 26, 2016 61/441 Lecture outline We will introduce and discuss canonical transformations that conserve the Hamiltonian structure of equations of motion. Poisson
More informationPHYSICS 218 SOLUTION TO HW 8. Created: November 20, :15 pm Last updated: November 21, 2004
Created: November 20, 2004 7:5 pm Last updated: November 2, 2004. Schroeder.6 (a) The three forces actin on the slab of thickness dz are ravity and the pressure from above and below. To achieve equilibrium
More informationMixture Behavior, Stability, and Azeotropy
7 Mixture Behavior, Stability, and Azeotropy Copyrihted Material CRC Press/Taylor & Francis 6 BASIC RELATIONS As compounds mix to some deree in the liquid phase, the Gibbs enery o the system decreases
More informationDurham Research Online
Durham Research Online Deposited in DRO: 15 March 2011 Version of attached file: Published Version Peer-review status of attached file: Peer-reviewed Citation for published item: Brand, S. and Kaliteevski,
More informationFirst- and Second Order Phase Transitions in the Holstein- Hubbard Model
Europhysics Letters PREPRINT First- and Second Order Phase Transitions in the Holstein- Hubbard Model W. Koller 1, D. Meyer 1,Y.Ōno 2 and A. C. Hewson 1 1 Department of Mathematics, Imperial Collee, London
More informationDamped Harmonic Oscillator
Damped Harmonic Oscillator Wednesday, 23 October 213 A simple harmonic oscillator subject to linear damping may oscillate with exponential decay, or it may decay biexponentially without oscillating, or
More informationGeopotential tendency and vertical motion
Geopotential tendency and vertical motion Recall PV inversion Knowin the PV, we can estimate everythin else! (Temperature, wind, eopotential ) In QG, since the flow is eostrophic, we can obtain the wind
More informationAltitude measurement for model rocketry
Altitude measurement for model rocketry David A. Cauhey Sibley School of Mechanical Aerospace Enineerin, Cornell University, Ithaca, New York 14853 I. INTRODUCTION In his book, Rocket Boys, 1 Homer Hickam
More informationG : Statistical Mechanics Notes for Lecture 3 I. MICROCANONICAL ENSEMBLE: CONDITIONS FOR THERMAL EQUILIBRIUM Consider bringing two systems into
G25.2651: Statistical Mechanics Notes for Lecture 3 I. MICROCANONICAL ENSEMBLE: CONDITIONS FOR THERMAL EQUILIBRIUM Consider bringing two systems into thermal contact. By thermal contact, we mean that the
More information7 To solve numerically the equation of motion, we use the velocity Verlet or leap frog algorithm. _ V i n = F i n m i (F.5) For time step, we approxim
69 Appendix F Molecular Dynamics F. Introduction In this chapter, we deal with the theories and techniques used in molecular dynamics simulation. The fundamental dynamics equations of any system is the
More information5.74 Introductory Quantum Mechanics II
MIT OpenCourseWare http://ocw.mit.edu 5.74 Introductory Quantum Mechanics II Spring 009 For information about citing these materials or our Terms of Use, visit: http://ocw.mit.edu/terms. Andrei Tokmakoff,
More information5. Network Analysis. 5.1 Introduction
5. Network Analysis 5.1 Introduction With the continued rowth o this country as it enters the next century comes the inevitable increase in the number o vehicles tryin to use the already overtaxed transportation
More informationIntensities and rates in the spectral domain without eigenvectors.
UNIVERSITY OF ILLINOIS URBANA-CHAMPAIGN: DEPARTMENT OF CHEMISTRY Intensities and rates in the spectral domain without eigenvectors. By: Dr. Martin Gruebele Authors: Brian Nguyen and Drishti Guin 12/10/2013
More informationCourse , General Circulation of the Earth's Atmosphere Prof. Peter Stone Section 8: Lorenz Energy Cycle
Course.8, General Circulation of the Earth's Atmosphere Prof. Peter Stone Section 8: Lorenz Enery Cycle Enery Forms: As we saw in our discussion of the heat budet, the enery content of the atmosphere per
More informationDynamical Diffraction
Dynamical versus Kinematical Di raction kinematical theory valid only for very thin crystals Dynamical Diffraction excitation error s 0 primary beam intensity I 0 intensity of other beams consider di racted
More informationQuantum control of dissipative systems. 1 Density operators and mixed quantum states
Quantum control of dissipative systems S. G. Schirmer and A. I. Solomon Quantum Processes Group, The Open University Milton Keynes, MK7 6AA, United Kingdom S.G.Schirmer@open.ac.uk, A.I.Solomon@open.ac.uk
More informationSpectroscopy in frequency and time domains
5.35 Module 1 Lecture Summary Fall 1 Spectroscopy in frequency and time domains Last time we introduced spectroscopy and spectroscopic measurement. I. Emphasized that both quantum and classical views of
More informationWire antenna model of the vertical grounding electrode
Boundary Elements and Other Mesh Reduction Methods XXXV 13 Wire antenna model of the vertical roundin electrode D. Poljak & S. Sesnic University of Split, FESB, Split, Croatia Abstract A straiht wire antenna
More informationarxiv: v1 [hep-th] 4 Apr 2008
P T symmetry and lare- models arxiv:0804.0778v1 [hep-th] 4 Apr 008 Michael C. Oilvie and Peter. Meisiner Department of Physics, Washinton University, St. Louis, MO 63130 USA E-mail: mco@physics.wustl.edu;pnm@physics.wustl.edu
More information1. According to the U.S. DOE, each year humans are. of CO through the combustion of fossil fuels (oil,
1. Accordin to the U.S. DOE, each year humans are producin 8 billion metric tons (1 metric ton = 00 lbs) of CO throuh the combustion of fossil fuels (oil, coal and natural as). . Since the late 1950's
More informationPath integral in quantum mechanics based on S-6 Consider nonrelativistic quantum mechanics of one particle in one dimension with the hamiltonian:
Path integral in quantum mechanics based on S-6 Consider nonrelativistic quantum mechanics of one particle in one dimension with the hamiltonian: let s look at one piece first: P and Q obey: Probability
More informationTopics covered: Green s function, Lippman-Schwinger Eq., T-matrix, Born Series.
PHYS85 Quantum Mechanics II, Sprin 00 HOMEWORK ASSIGNMENT 0 Topics covered: Green s function, Lippman-Schwiner Eq., T-matrix, Born Series.. T-matrix approach to one-dimensional scatterin: In this problem,
More informationStochastic simulations of genetic switch systems
Stochastic simulations of enetic switch systems Adiel Loiner, 1 Azi Lipshtat, 2 Nathalie Q. Balaban, 1 and Ofer Biham 1 1 Racah Institute of Physics, The Hebrew University, Jerusalem 91904, Israel 2 Department
More informationS.K. Saikin May 22, Lecture 13
S.K. Saikin May, 007 13 Decoherence I Lecture 13 A physical qubit is never isolated from its environment completely. As a trivial example, as in the case of a solid state qubit implementation, the physical
More informationUNIVERSITY OF MARYLAND Department of Physics College Park, Maryland. PHYSICS Ph.D. QUALIFYING EXAMINATION PART II
UNIVERSITY OF MARYLAND Department of Physics College Park, Maryland PHYSICS Ph.D. QUALIFYING EXAMINATION PART II August 23, 208 9:00 a.m. :00 p.m. Do any four problems. Each problem is worth 25 points.
More information(a) Find the function that describes the fraction of light bulbs failing by time t e (0.1)x dx = [ e (0.1)x ] t 0 = 1 e (0.1)t.
1 M 13-Lecture March 8, 216 Contents: 1) Differential Equations 2) Unlimited Population Growth 3) Terminal velocity and stea states Voluntary Quiz: The probability density function of a liht bulb failin
More informationarxiv: v1 [quant-ph] 30 Jan 2015
Thomas Fermi approximation and lare-n quantum mechanics Sukla Pal a,, Jayanta K. Bhattacharjee b a Department of Theoretical Physics, S.N.Bose National Centre For Basic Sciences, JD-Block, Sector-III,
More informationLINEAR RESPONSE THEORY
MIT Department of Chemistry 5.74, Spring 5: Introductory Quantum Mechanics II Instructor: Professor Andrei Tokmakoff p. 8 LINEAR RESPONSE THEORY We have statistically described the time-dependent behavior
More information7. QCD. Particle and Nuclear Physics. Dr. Tina Potter. Dr. Tina Potter 7. QCD 1
7. QCD Particle and Nuclear Physics Dr. Tina Potter Dr. Tina Potter 7. QCD 1 In this section... The stron vertex Colour, luons and self-interactions QCD potential, confinement Hadronisation, jets Runnin
More informationA-LEVEL Mathematics. MM05 Mechanics 5 Mark scheme June Version 1.0: Final
A-LEVEL Mathematics MM05 Mechanics 5 Mark scheme 6360 June 016 Version 1.0: Final Mark schemes are prepared by the Lead Assessment Writer and considered, toether with the relevant questions, by a panel
More informationRenormalization Group Theory
Chapter 16 Renormalization Group Theory In the previous chapter a procedure was developed where hiher order 2 n cycles were related to lower order cycles throuh a functional composition and rescalin procedure.
More informationTopics for the Qualifying Examination
Topics for the Qualifying Examination Quantum Mechanics I and II 1. Quantum kinematics and dynamics 1.1 Postulates of Quantum Mechanics. 1.2 Configuration space vs. Hilbert space, wave function vs. state
More informationDiscrete Variable Representation
Discrete Variable Representation Rocco Martinazzo E-mail: rocco.martinazzo@unimi.it Contents Denition and properties 2 Finite Basis Representations 3 3 Simple examples 4 Introduction Discrete Variable
More informationPhysical Chemistry Laboratory II (CHEM 337) EXPT 9 3: Vibronic Spectrum of Iodine (I2)
Physical Chemistry Laboratory II (CHEM 337) EXPT 9 3: Vibronic Spectrum of Iodine (I2) Obtaining fundamental information about the nature of molecular structure is one of the interesting aspects of molecular
More informationarxiv: v1 [hep-ex] 25 Aug 2014
Proceedins of the Second Annual LHCP AL-PHYS-PROC-- Auust 7, 8 Inclusive searches for squarks and luinos with the ALAS detector arxiv:8.5776v [hep-ex] 5 Au Marija Vranješ Milosavljević On behalf of the
More informationBASIC OF THE LINEAR RESPONSE THEORY AND ITS APPLICATIONS. Jiawei Xu April 2009
BASIC OF THE LINEAR RESPONSE THEORY AND ITS APPLICATIONS Jiawei Xu April 2009 OUTLINE Linear Response Theory Static Linear Response Dynamic Linear Response Frequency Dependent Response Applications 1.
More informationModeling for control of a three degrees-of-freedom Magnetic. Levitation System
Modelin for control of a three derees-of-freedom Manetic evitation System Rafael Becerril-Arreola Dept. of Electrical and Computer En. University of Toronto Manfredi Maiore Dept. of Electrical and Computer
More informationB. Physical Observables Physical observables are represented by linear, hermitian operators that act on the vectors of the Hilbert space. If A is such
G25.2651: Statistical Mechanics Notes for Lecture 12 I. THE FUNDAMENTAL POSTULATES OF QUANTUM MECHANICS The fundamental postulates of quantum mechanics concern the following questions: 1. How is the physical
More information! 4 4! o! +! h 4 o=0! ±= ± p i And back-substituting into the linear equations gave us the ratios of the amplitudes of oscillation:.»» = A p e i! +t»»
Topic 6: Coupled Oscillators and Normal Modes Reading assignment: Hand and Finch Chapter 9 We are going to be considering the general case of a system with N degrees of freedome close to one of its stable
More informationPhysics 20 Homework 1 SIMS 2016
Physics 20 Homework 1 SIMS 2016 Due: Wednesday, Auust 17 th Problem 1 The idea of this problem is to et some practice in approachin a situation where you miht not initially know how to proceed, and need
More informationShower center of gravity and interaction characteristics
EPJ Web of Conferences, (25 DOI:.5/epjconf/25 c Owned by the authors, published by EDP Sciences, 25 Shower center of ravity and interaction characteristics Lev Kheyn a Institute of Nuclear Physics, Moscow
More informationChaotic motion. Phys 750 Lecture 9
Chaotic motion Phys 750 Lecture 9 Finite-difference equations Finite difference equation approximates a differential equation as an iterative map (x n+1,v n+1 )=M[(x n,v n )] Evolution from time t =0to
More informationStoichiometry of the reaction of sodium carbonate with hydrochloric acid
Stoichiometry of the reaction of sodium carbonate with hydrochloric acid Purpose: To calculate the theoretical (expected) yield of product in a reaction. To weih the actual (experimental) mass of product
More informationNANO 703-Notes. Chapter 12-Reciprocal space
1 Chapter 1-Reciprocal space Conical dark-field imain We primarily use DF imain to control imae contrast, thouh STEM-DF can also ive very hih resolution, in some cases. If we have sinle crystal, a -DF
More informationSummary of free theory: one particle state: vacuum state is annihilated by all a s: then, one particle state has normalization:
The LSZ reduction formula based on S-5 In order to describe scattering experiments we need to construct appropriate initial and final states and calculate scattering amplitude. Summary of free theory:
More informationECEN 5005 Crystals, Nanocrystals and Device Applications Class 18 Group Theory For Crystals
ECEN 5005 Crystals, Nanocrystals and Device Applications Class 18 Group Theory For Crystals Multi-Electron Crystal Field Theory Weak Field Scheme Stron Field Scheme Tanabe-Suano Diaram 1 Notation Convention
More informationA matching of. matrix elements and parton showers. J. Andre and T. Sjostrand 1. Department of Theoretical Physics, Lund University, Lund, Sweden
LU TP 97{18 Auust 1997 A matchin of matrix elements and parton showers J. Andre and T. Sjostrand 1 Department of Theoretical Physics, Lund University, Lund, Sweden Abstract We propose a simple scheme to
More informationREVIEW: Going from ONE to TWO Dimensions with Kinematics. Review of one dimension, constant acceleration kinematics. v x (t) = v x0 + a x t
Lecture 5: Projectile motion, uniform circular motion 1 REVIEW: Goin from ONE to TWO Dimensions with Kinematics In Lecture 2, we studied the motion of a particle in just one dimension. The concepts of
More informationUNIVERSITY OF MARYLAND Department of Physics College Park, Maryland. PHYSICS Ph.D. QUALIFYING EXAMINATION PART II
UNIVERSITY OF MARYLAND Department of Physics College Park, Maryland PHYSICS Ph.D. QUALIFYING EXAMINATION PART II January 22, 2016 9:00 a.m. 1:00 p.m. Do any four problems. Each problem is worth 25 points.
More informationStatistical mechanics of classical systems
Statistical mechanics of classical systems States and ensembles A microstate of a statistical system is specied by the complete information about the states of all microscopic degrees of freedom of the
More informationFoundations of Chemical Kinetics. Lecture 19: Unimolecular reactions in the gas phase: RRKM theory
Foundations of Chemical Kinetics Lecture 19: Unimolecular reactions in the gas phase: RRKM theory Marc R. Roussel Department of Chemistry and Biochemistry Canonical and microcanonical ensembles Canonical
More informationQuantum Quenches in Extended Systems
Quantum Quenches in Extended Systems Spyros Sotiriadis 1 Pasquale Calabrese 2 John Cardy 1,3 1 Oxford University, Rudolf Peierls Centre for Theoretical Physics, Oxford, UK 2 Dipartimento di Fisica Enrico
More informationGeneralized Least-Squares Regressions V: Multiple Variables
City University of New York (CUNY) CUNY Academic Works Publications Research Kinsborouh Community Collee -05 Generalized Least-Squares Reressions V: Multiple Variables Nataniel Greene CUNY Kinsborouh Community
More informationConical Pendulum Linearization Analyses
European J of Physics Education Volume 7 Issue 3 309-70 Dean et al. Conical Pendulum inearization Analyses Kevin Dean Jyothi Mathew Physics Department he Petroleum Institute Abu Dhabi, PO Box 533 United
More informationAdvanced Methods Development for Equilibrium Cycle Calculations of the RBWR. Andrew Hall 11/7/2013
Advanced Methods Development for Equilibrium Cycle Calculations of the RBWR Andrew Hall 11/7/2013 Outline RBWR Motivation and Desin Why use Serpent Cross Sections? Modelin the RBWR Axial Discontinuity
More informationMassachusetts Institute of Technology Department of Electrical Engineering and Computer Science
Massachusetts nstitute of Technoloy Department of Electrical Enineerin and Computer Science 6.685 Electric Machines Class Notes 2 Manetic Circuit Basics September 5, 2005 c 2003 James L. Kirtley Jr. 1
More informationDynamics and Quantum Channels
Dynamics and Quantum Channels Konstantin Riedl Simon Mack 1 Dynamics and evolutions Discussing dynamics, one has to talk about time. In contrast to most other quantities, time is being treated classically.
More informationBifurcations and Dynamics of Spiral Waves. Summary. In several chemical systems such as the Belousov-Zhabotinsky reaction
THE JOURNAL OF NONLINEAR SCIENCE 26.10.1998 Bifurcations and Dynamics of Spiral Waves Bjorn Sandstede 1, Arnd Scheel 2, Claudia Wul 2 1 Department of Mathematics Ohio State University 231 West 18th Avenue
More informationFRACTIONAL BROWNIAN MOTION AND DYNAMIC APPROACH TO COMPLEXITY. Rasit Cakir. Dissertation Prepared for the Degree of DOCTOR OF PHILOSOPHY
FRACTIONAL BROWNIAN MOTION AND DYNAMIC APPROACH TO COMPLEXITY Rasit Cakir Dissertation Prepared for the Degree of DOCTOR OF PHILOSOPHY UNIVERSITY OF NORTH TEXAS August 27 APPROVED: Paolo Grigolini, Major
More information