Measuring carrier density in parallel conduction layers of quantum Hall systems
|
|
- Myles Fisher
- 5 years ago
- Views:
Transcription
1 Measuring carrier density in parallel conduction layers of quantum Hall systems M. Grayson, F. Fiscer Walter Scottky Institut, Tecnisce Universität Müncen, D-8578 Garcing, Germany arxiv:cond-mat/5v [cond-mat.mes-all] 9 Nov (Dated: 7 Nov ) (Rsion 6) An experimental analysis for two parallel conducting layers determines te full resistivity tensor of te parallel layer, at magnetic fields were te oter layer is in te quantum Hall regime. In eterostructures wic exibit parallel conduction in te modulation-doped layer, tis analysis quantitatively determines te carge density in te doping layer and can be used to estimate te mobility. To illustrate one application, experimental data sow magnetic freeze-out of parallel conduction in a modulation doped eterojunction. As anoter example, te carrier density of a minimally populated second subband in a two-subband quantum well is determined. A simple formula is derived tat can estimate te carrier density in a igly resistive parallel layer from a single Hall measurement of te al system. Various ig-mobility eterostructures contain parallel conducting layers wose individual conductance parameters need to be caracterized. Suc systems include double-quantum well systems and quantum wells wit a second occupied subband. Anoter system of practical interest is a ig-mobility two-dimensional electron system (DES) wit a parallel conducting modulationdopant layer. In all cases, te well-known signature of parallel conduction is tat te minima in te longitudinal resistance R do not go to zero in te quantum Hall limit. One standard metod for separately caracterizing te layer densities is te Subnikov-de Haas (SdH) metod, wic requires tat bot systems sow oscillations in R in te same magnetic field range. Tese oscillations are ten Fourier transformed against / to give te densities of bot systems []. However, tis metod cannot be used if one of te systems as sufficiently low mobility tat SdH oscillations are indiscernable, and tis metod gives no separable measurement of R for eac layer. Oter metods ave been introduced wic can determine resistivities in non-quantized parallel cannels [,, ], but to date an explicit treatment of te quantized case is lacking. In tis paper, we present a new analysis of magneransport data wic determines bot components of te resistivity tensor in one layer, at values of te field were te oter layer is in te quantized Hall regime. Te density of carriers in te parallel layer ten follows directly n = / e, wit e te electron carge. We wis to first find an expression for te resistivity tensor of te combined quantum Hall and parallel conducting layers since resistivity is te experimentally measured quantity. We define separate resistivity tensors for te quantum Hall and parallel conduction layers as: ρ Q = ( νe νe ) (, = ) () Assuming tat te in-plane electric fields seen by te two layers are equal, te corresponding conductivities for eac layer, σ Q = ( νe νe ), σ = ( ) () can be summed to yield te seet conductivity of te combined system ( σ = σ Q +σ = νe + νe () were = det( ). Inverting σ gives te al resistivity tensor, = (σ ) wose components are directly measured in experiment: = ρ +( νe +ρ ), = ρ ( νe +ρ ) +( νe +ρ ) () Just as in single-layer Hall measurements of were expressions for te longitudinal and transverse resistance are solved for te two unknowns, density and Hall mobility, te above equations can be solved for te only two unknowns in tis problem, namely, te components of te resistivity tensor in te parallel layer. We will demonstrate tis analysis for data measured in te general Van der Pauw geometry, altoug te same analysis can be adapted to Hall bar and Corbino geometries. All -point resistances were measured in an Oxford He cryostat using standard lock-in tecniques wit a ig input impedance pre-amplifier (R in GΩ) to avoid measurement errors wic migt be mistaken for parallel conduction [5]. Te first sample of interest is a eterojunction quantum well wit parallel conduction in te modulation doping layer. We start experimentally by measuring te longitudinal resistance of te sample at finite -field in two )
2 complementarygeometriesr A andr (seefig. ), and determine te al -dependent seet resistance () according to te Van der Pauw equations [6]: = π ln() f(x)ra +R f(x) = ln ( x x+ ) [ (ln) (ln) (5) ]( ) x x+ Here x = R/R A for R A > R, and f(x) is a weak function of x of order unity. Te Hall resistance = R can be measured directly (Fig. ). We now solve Eq. for in terms of te measured and ρ. Te al resistivity tensor ρ inverted to give σ = ( ), and since σ = σ Q + σ, σ = σ = ρ, σ = σ + νe = ρ (6) Knowing te filling factor index ν of a given quantum Hall minimum, we solve for σ = σ and σ = σ νe. Inverting σ to find = (σ ) yields: = σ = σ σ = (7) ( ) +( ρ νe ) ρ νe ) (8) ( ) +( ρ νe ) σ = ρ ( e wic is noting oter tan Eq. () solved for and. Te result is plotted in Fig. for values of were te DES Hall resistance is quantized. We can estimate te carrier density in te parallel layer wit eiter of two metods. First, te slope of (bot witin eac quantum Hall effect domain and across all filling factors) indicates a density of n = =. cm. Secondly, as a useful backof-te-envelope sortand, we note tat in te limit of < ρ as in Fig., Eq. (8) can be simplified to, Solving for n gives = n e νe ( ) n n Q νe (9) () were n Q = νe(ν) is te density of te QH system, and (ν) is te magnetic field value in te center of te ν-t plateau in. In Fig., te flat lines above eac ρ plateau sow te resistance quantum νe demonstrating tat te first term in parentesis in Eq. () is always greater tan. Te remarkable utility of Eq. () is tat te parallel carrier density can be estimated from a single measurement. For example in ρ from Fig., te position of te ν = plateau at (ν = ) = 8.7 T determines n Q =.95 cm and te plateau resistance of =.76 kω gives n =.6 cm witin 5 % of te more exact grapical analysis of Eq. (8) and te resulting Fig.. We can separately caracterize te conductance of te parallel delta-doping layer as a result of tis analysis. Looking at te two components of te resistivity tensor in Fig., one observes first te sarp rise in resulting from so-called magnetic freeze-out in tis igly disordered delta-doping layer, expected in systems wit opping conduction. Te al number of mobile carriers in te delta layer, owever, stays fixed as confirmed by te constant slope of. We can also make a roug estimate of te mobility of tis layer, by extrapolating te parabolic fit sown in te figure to =. Wit an intercept resistivity of around = 7kΩ and te known density, te = mobility of te parallel conduction layer is about µ =. cm /Vs. In te temperature dependence sown in Fig. 5, we see increase wit decreasingtemperature, wile remains fixed, indicating a temperature independent density. ot beaviors are consistent wit opping conduction in te delta-layer. Te same analysis can be applied to a two-subband quantum well sample. In Fig. 6 we sow te measured and ρ wic are analized to give ρ as plotted in Fig. 7. Te measured parallel carrier density of n =. cm is in good agreement wit selfconsistent Poisson calculations wic predict a second subband occupied to n calc =.5 cm. We note tat te SdH signal from tis low density second subband was too weak to give and estimable density using alternate te Fourier transform metod. Comparing te resistivity components in Fig. 7 wit Fig., one seesin tatonceagainte densityofcarriersisrater constant overte wole -field range. Te measured is of order5 Ω orless, implying a raterig mobility of over 6 cm /Vs for tis second subband. Altoug tis value is not quantitatively conclusive, qualitatively it indicates tat te low density subband wic would normally ave a correspondingly low mobility, benefits from te Tomas-Fermi screening of te densely populated subband to screen most of te disorder. As a final note, we remind te reader tat measurementerrorsariseifteinputimpedanceoftelock-inr in is too low, and tese patological signals look misleadingly like parallel conduction. Wit a low R in, finite R minima of order R min = (/νe ) /R in are observed wit te astonising property tat te false parallel signal disappears upon reversing te current contact polarity.
3 Suc subtleties in quantum Hall measurement penomena are discussed in detail elsewere [5]. In conclusion, we ave demonstrated a new analysis for te resistivity of parallel D systems tat determines te resistivity tensor of one layer at magnetic fields were te oter layer is in te quantum Hall regime. We demonstrate te validity of tis analysis for te case of a quantum well wit two occupied subbands, as well as for double-quantum wells. We also demonstrate te analysis of carrier density in parallel conducting modulation doped layers. In te latter case, tis tecnique will be particularly useful for crystal growers in caracterizing doping efficiency, because it elimates te expensive and time-consuming trial-and-error metod currently used for doping calibration of parallel conduction layers. Acknowledgement Tis work was supported in part by te DFG (SF 8). M.G. tanks te A.v. Humboldt Foundation for support. (a) mgrayson@alumni.princeton.edu [] J. Jo, Y. W. Sen, L. W. Engel, M.. Santos and M. Sayegan, Pys. Rev. 6, 9776 (99). [] M. van der urgt, V. C. Karavolas, F. M. Peeters, J. Singleton, R. J. Nicolas, F. Herlac, J. J. Harris, M. Van Hove and G. orgs, Pys. Rev. 5, 8 (995). [] C. M. Hurd, S. P. McAlister, W. R. McKinnon,. R. Stewart, D. J. Day, P. Mandeville, and A. J. SpringTorpe, J. Appl. Pys. 6, 76 (988). [] M. J. Kane, N. Apsley, D. A. Anderson, L. L. Taylor and T. Kerr, J. Pys. C: Solid State Pys. 8, 569 (985). [5] F. Fiscer and M. Grayson, submitted to J. Appl. Pys. in tandem wit tis paper. [6] L. J. van der Pauw, Pilips Res. Rep., (958).
4 a) parallel dopant layer b) parallel quantum well c) second subband E F Q E F E F Q Q Fig. FIG. : Conduction band scematic for te tree kinds of parallel conduction systems of interest: a) te dopant layer of a modulation-doped eterostructure, b) a double-quantum well system, or c) a quantum well wit a second occupied subband.
5 5 FIG. : Te tree measurements necessary to completely caracterize te resistivity tensor at any magnetic field. Fig. Sample --. n Q =.9 x / cm µ Q =.9 x 5 cm /Vs. K ρ ρ ρ ρ R A R (T) FIG. : Plot of measured, and for a sample wit parallel conduction in te modulation doped layer. is calculated from te Van der Pauw relation in Eq. 5 using R A and R as measured in te inset.
6 6 5 Sample --. n =. x / cm µ ~. x cm /Vs. K Fig. ρ 5 ρ ρ 5 ρ (T) FIG. : Plot of for te parallel conducting modulation doped layer calculated from te data in Fig. using Eqs. 7 and 8. Te slope of yields te carrier density in te parallel conductor n = e. 5 Sample --. n =. x / cm Fig. 5 ρ 5 5 mk ρ (T). K. K (T) FIG. 5: Plot of for te parallel conducting modulation doped layer at various temperatures. Te opping conduction in tis system is strongly temperature and magnetic field dependent. Inset: Plot of for te parallel conducting layer. Note tat te density of opping carriers is independent of and temperature, except above T at 5 mk under extreme magnetic freezeout.
7 7 ( ) 5 Sample --. n Q =.5 x / cm Q =.57 x 6 cm /Vs 5 mk Fig (k ) R A (T) R FIG. 6: Plot of,, R A and R for a quantum well wit a ligtly populated second subband. (Ω) ρ Sample --. n =. x / cm 5 mk Fig. 7 8 ρ ρ ρ 5 (T) FIG. 7: Plot of calculated using te data in Fig. 6 for a ligtly populated second subband.
Ballistic electron transport in quantum point contacts
Ballistic electron transport in quantum point contacts 11 11.1 Experimental observation of conductance quantization Wen we discussed te self-consistent calculation of te potential and te modes in an infinite
More informationNumerical Differentiation
Numerical Differentiation Finite Difference Formulas for te first derivative (Using Taylor Expansion tecnique) (section 8.3.) Suppose tat f() = g() is a function of te variable, and tat as 0 te function
More informationSolution for the Homework 4
Solution for te Homework 4 Problem 6.5: In tis section we computed te single-particle translational partition function, tr, by summing over all definite-energy wavefunctions. An alternative approac, owever,
More informationA = h w (1) Error Analysis Physics 141
Introduction In all brances of pysical science and engineering one deals constantly wit numbers wic results more or less directly from experimental observations. Experimental observations always ave inaccuracies.
More informationChapter 5 FINITE DIFFERENCE METHOD (FDM)
MEE7 Computer Modeling Tecniques in Engineering Capter 5 FINITE DIFFERENCE METHOD (FDM) 5. Introduction to FDM Te finite difference tecniques are based upon approximations wic permit replacing differential
More informationThe Verlet Algorithm for Molecular Dynamics Simulations
Cemistry 380.37 Fall 2015 Dr. Jean M. Standard November 9, 2015 Te Verlet Algoritm for Molecular Dynamics Simulations Equations of motion For a many-body system consisting of N particles, Newton's classical
More information3. Semiconductor heterostructures and nanostructures
3. Semiconductor eterostructures and nanostructures We discussed before ow te periodicity of a crystal results in te formation of bands. or a 1D crystal, we obtained: a (x) x In 3D, te crystal lattices
More informationLIMITATIONS OF EULER S METHOD FOR NUMERICAL INTEGRATION
LIMITATIONS OF EULER S METHOD FOR NUMERICAL INTEGRATION LAURA EVANS.. Introduction Not all differential equations can be explicitly solved for y. Tis can be problematic if we need to know te value of y
More information1. Questions (a) through (e) refer to the graph of the function f given below. (A) 0 (B) 1 (C) 2 (D) 4 (E) does not exist
Mat 1120 Calculus Test 2. October 18, 2001 Your name Te multiple coice problems count 4 points eac. In te multiple coice section, circle te correct coice (or coices). You must sow your work on te oter
More informationAN IMPROVED WEIGHTED TOTAL HARMONIC DISTORTION INDEX FOR INDUCTION MOTOR DRIVES
AN IMPROVED WEIGHTED TOTA HARMONIC DISTORTION INDEX FOR INDUCTION MOTOR DRIVES Tomas A. IPO University of Wisconsin, 45 Engineering Drive, Madison WI, USA P: -(608)-6-087, Fax: -(608)-6-5559, lipo@engr.wisc.edu
More informationQuantization of electrical conductance
1 Introduction Quantization of electrical conductance Te resistance of a wire in te classical Drude model of metal conduction is given by RR = ρρρρ AA, were ρρ, AA and ll are te conductivity of te material,
More informationImplicit-explicit variational integration of highly oscillatory problems
Implicit-explicit variational integration of igly oscillatory problems Ari Stern Structured Integrators Worksop April 9, 9 Stern, A., and E. Grinspun. Multiscale Model. Simul., to appear. arxiv:88.39 [mat.na].
More information232 Calculus and Structures
3 Calculus and Structures CHAPTER 17 JUSTIFICATION OF THE AREA AND SLOPE METHODS FOR EVALUATING BEAMS Calculus and Structures 33 Copyrigt Capter 17 JUSTIFICATION OF THE AREA AND SLOPE METHODS 17.1 THE
More informationDefinition of the Derivative
Te Limit Definition of te Derivative Tis Handout will: Define te limit grapically and algebraically Discuss, in detail, specific features of te definition of te derivative Provide a general strategy of
More informationPolynomial Interpolation
Capter 4 Polynomial Interpolation In tis capter, we consider te important problem of approximatinga function fx, wose values at a set of distinct points x, x, x,, x n are known, by a polynomial P x suc
More informationCombining functions: algebraic methods
Combining functions: algebraic metods Functions can be added, subtracted, multiplied, divided, and raised to a power, just like numbers or algebra expressions. If f(x) = x 2 and g(x) = x + 2, clearly f(x)
More informationLECTURE 14 NUMERICAL INTEGRATION. Find
LECTURE 14 NUMERCAL NTEGRATON Find b a fxdx or b a vx ux fx ydy dx Often integration is required. However te form of fx may be suc tat analytical integration would be very difficult or impossible. Use
More informationPolynomial Interpolation
Capter 4 Polynomial Interpolation In tis capter, we consider te important problem of approximating a function f(x, wose values at a set of distinct points x, x, x 2,,x n are known, by a polynomial P (x
More information2.11 That s So Derivative
2.11 Tat s So Derivative Introduction to Differential Calculus Just as one defines instantaneous velocity in terms of average velocity, we now define te instantaneous rate of cange of a function at a point
More information4. The slope of the line 2x 7y = 8 is (a) 2/7 (b) 7/2 (c) 2 (d) 2/7 (e) None of these.
Mat 11. Test Form N Fall 016 Name. Instructions. Te first eleven problems are wort points eac. Te last six problems are wort 5 points eac. For te last six problems, you must use relevant metods of algebra
More informationOrder of Accuracy. ũ h u Ch p, (1)
Order of Accuracy 1 Terminology We consider a numerical approximation of an exact value u. Te approximation depends on a small parameter, wic can be for instance te grid size or time step in a numerical
More information1. Which one of the following expressions is not equal to all the others? 1 C. 1 D. 25x. 2. Simplify this expression as much as possible.
004 Algebra Pretest answers and scoring Part A. Multiple coice questions. Directions: Circle te letter ( A, B, C, D, or E ) net to te correct answer. points eac, no partial credit. Wic one of te following
More informationHow to Find the Derivative of a Function: Calculus 1
Introduction How to Find te Derivative of a Function: Calculus 1 Calculus is not an easy matematics course Te fact tat you ave enrolled in suc a difficult subject indicates tat you are interested in te
More informationHOW TO DEAL WITH FFT SAMPLING INFLUENCES ON ADEV CALCULATIONS
HOW TO DEAL WITH FFT SAMPLING INFLUENCES ON ADEV CALCULATIONS Po-Ceng Cang National Standard Time & Frequency Lab., TL, Taiwan 1, Lane 551, Min-Tsu Road, Sec. 5, Yang-Mei, Taoyuan, Taiwan 36 Tel: 886 3
More informationPumping Heat with Quantum Ratchets
Pumping Heat wit Quantum Ratcets T. E. Humprey a H. Linke ab R. Newbury a a Scool of Pysics University of New Sout Wales UNSW Sydney 5 Australia b Pysics Department University of Oregon Eugene OR 9743-74
More informationlecture 26: Richardson extrapolation
43 lecture 26: Ricardson extrapolation 35 Ricardson extrapolation, Romberg integration Trougout numerical analysis, one encounters procedures tat apply some simple approximation (eg, linear interpolation)
More informationChapter 3 Thermoelectric Coolers
3- Capter 3 ermoelectric Coolers Contents Capter 3 ermoelectric Coolers... 3- Contents... 3-3. deal Equations... 3-3. Maximum Parameters... 3-7 3.3 Normalized Parameters... 3-8 Example 3. ermoelectric
More information158 Calculus and Structures
58 Calculus and Structures CHAPTER PROPERTIES OF DERIVATIVES AND DIFFERENTIATION BY THE EASY WAY. Calculus and Structures 59 Copyrigt Capter PROPERTIES OF DERIVATIVES. INTRODUCTION In te last capter you
More information1. For d=3,2 from ε<< ε F it follows that ετ >> e-e h, i.e.,
Quasiparticle decay rate at T = 0 in a clean Fermi Liquid. ω +ω Fermi Sea τ e e ( ) F ( ) log( ) Conclusions:. For d=3, from > e-e, i.e., tat te qusiparticles are well determined
More informationThe Basics of Vacuum Technology
Te Basics of Vacuum Tecnology Grolik Benno, Kopp Joacim January 2, 2003 Basics Many scientific and industrial processes are so sensitive tat is is necessary to omit te disturbing influence of air. For
More informationLecture 15. Interpolation II. 2 Piecewise polynomial interpolation Hermite splines
Lecture 5 Interpolation II Introduction In te previous lecture we focused primarily on polynomial interpolation of a set of n points. A difficulty we observed is tat wen n is large, our polynomial as to
More informationContinuity and Differentiability Worksheet
Continuity and Differentiability Workseet (Be sure tat you can also do te grapical eercises from te tet- Tese were not included below! Typical problems are like problems -3, p. 6; -3, p. 7; 33-34, p. 7;
More informationHigher Derivatives. Differentiable Functions
Calculus 1 Lia Vas Higer Derivatives. Differentiable Functions Te second derivative. Te derivative itself can be considered as a function. Te instantaneous rate of cange of tis function is te second derivative.
More informationMath 1241 Calculus Test 1
February 4, 2004 Name Te first nine problems count 6 points eac and te final seven count as marked. Tere are 120 points available on tis test. Multiple coice section. Circle te correct coice(s). You do
More informationCopyright c 2008 Kevin Long
Lecture 4 Numerical solution of initial value problems Te metods you ve learned so far ave obtained closed-form solutions to initial value problems. A closedform solution is an explicit algebriac formula
More informationNew Streamfunction Approach for Magnetohydrodynamics
New Streamfunction Approac for Magnetoydrodynamics Kab Seo Kang Brooaven National Laboratory, Computational Science Center, Building 63, Room, Upton NY 973, USA. sang@bnl.gov Summary. We apply te finite
More informationClick here to see an animation of the derivative
Differentiation Massoud Malek Derivative Te concept of derivative is at te core of Calculus; It is a very powerful tool for understanding te beavior of matematical functions. It allows us to optimize functions,
More informationExam 1 Review Solutions
Exam Review Solutions Please also review te old quizzes, and be sure tat you understand te omework problems. General notes: () Always give an algebraic reason for your answer (graps are not sufficient),
More informationBob Brown Math 251 Calculus 1 Chapter 3, Section 1 Completed 1 CCBC Dundalk
Bob Brown Mat 251 Calculus 1 Capter 3, Section 1 Completed 1 Te Tangent Line Problem Te idea of a tangent line first arises in geometry in te context of a circle. But before we jump into a discussion of
More information(4.2) -Richardson Extrapolation
(.) -Ricardson Extrapolation. Small-O Notation: Recall tat te big-o notation used to define te rate of convergence in Section.: Suppose tat lim G 0 and lim F L. Te function F is said to converge to L as
More informationLogarithmic functions
Roberto s Notes on Differential Calculus Capter 5: Derivatives of transcendental functions Section Derivatives of Logaritmic functions Wat ou need to know alread: Definition of derivative and all basic
More informationParameter Fitted Scheme for Singularly Perturbed Delay Differential Equations
International Journal of Applied Science and Engineering 2013. 11, 4: 361-373 Parameter Fitted Sceme for Singularly Perturbed Delay Differential Equations Awoke Andargiea* and Y. N. Reddyb a b Department
More informationThe Laplace equation, cylindrically or spherically symmetric case
Numerisce Metoden II, 7 4, und Übungen, 7 5 Course Notes, Summer Term 7 Some material and exercises Te Laplace equation, cylindrically or sperically symmetric case Electric and gravitational potential,
More informationNotes on wavefunctions II: momentum wavefunctions
Notes on wavefunctions II: momentum wavefunctions and uncertainty Te state of a particle at any time is described by a wavefunction ψ(x). Tese wavefunction must cange wit time, since we know tat particles
More informationChapter 2 Limits and Continuity
4 Section. Capter Limits and Continuity Section. Rates of Cange and Limits (pp. 6) Quick Review.. f () ( ) () 4 0. f () 4( ) 4. f () sin sin 0 4. f (). 4 4 4 6. c c c 7. 8. c d d c d d c d c 9. 8 ( )(
More informationPhase space in classical physics
Pase space in classical pysics Quantum mecanically, we can actually COU te number of microstates consistent wit a given macrostate, specified (for example) by te total energy. In general, eac microstate
More informationAPPENDIXES. Let the following constants be established for those using the active Mathcad
3 APPENDIXES Let te following constants be establised for tose using te active Matcad form of tis book: m.. e 9.09389700 0 3 kg Electron rest mass. q.. o.6077330 0 9 coul Electron quantum carge. µ... o.5663706
More informationMVT and Rolle s Theorem
AP Calculus CHAPTER 4 WORKSHEET APPLICATIONS OF DIFFERENTIATION MVT and Rolle s Teorem Name Seat # Date UNLESS INDICATED, DO NOT USE YOUR CALCULATOR FOR ANY OF THESE QUESTIONS In problems 1 and, state
More informationMTH 119 Pre Calculus I Essex County College Division of Mathematics Sample Review Questions 1 Created April 17, 2007
MTH 9 Pre Calculus I Essex County College Division of Matematics Sample Review Questions Created April 7, 007 At Essex County College you sould be prepared to sow all work clearly and in order, ending
More informationDe-Coupler Design for an Interacting Tanks System
IOSR Journal of Electrical and Electronics Engineering (IOSR-JEEE) e-issn: 2278-1676,p-ISSN: 2320-3331, Volume 7, Issue 3 (Sep. - Oct. 2013), PP 77-81 De-Coupler Design for an Interacting Tanks System
More informationOn my honor as a student, I have neither given nor received unauthorized assistance on this exam.
HW2 (Overview of Transport) (Print name above) On my onor as a student, I ave neiter given nor received unautorized assistance on tis exam. (sign name above) 1 Figure 1: Band-diagram before and after application
More informationDerivatives. By: OpenStaxCollege
By: OpenStaxCollege Te average teen in te United States opens a refrigerator door an estimated 25 times per day. Supposedly, tis average is up from 10 years ago wen te average teenager opened a refrigerator
More informationTaylor Series and the Mean Value Theorem of Derivatives
1 - Taylor Series and te Mean Value Teorem o Derivatives Te numerical solution o engineering and scientiic problems described by matematical models oten requires solving dierential equations. Dierential
More informationQuantum Numbers and Rules
OpenStax-CNX module: m42614 1 Quantum Numbers and Rules OpenStax College Tis work is produced by OpenStax-CNX and licensed under te Creative Commons Attribution License 3.0 Abstract Dene quantum number.
More informationarxiv:cond-mat/ v1 [cond-mat.str-el] 19 May 2004
Quantum renormalization group of XYZ model in a transverse magnetic field A. Langari Institute for Advanced Studies in Basic Sciences, Zanjan 595-59, Iran Max-Planck-Institut für Pysik komplexer Systeme,
More informationf a h f a h h lim lim
Te Derivative Te derivative of a function f at a (denoted f a) is f a if tis it exists. An alternative way of defining f a is f a x a fa fa fx fa x a Note tat te tangent line to te grap of f at te point
More informationChapter 8. Numerical Solution of Ordinary Differential Equations. Module No. 2. Predictor-Corrector Methods
Numerical Analysis by Dr. Anita Pal Assistant Professor Department of Matematics National Institute of Tecnology Durgapur Durgapur-7109 email: anita.buie@gmail.com 1 . Capter 8 Numerical Solution of Ordinary
More information1 Introduction Radiative corrections can ave a significant impact on te predicted values of Higgs masses and couplings. Te radiative corrections invol
RADCOR-2000-001 November 15, 2000 Radiative Corrections to Pysics Beyond te Standard Model Clint Eastwood 1 Department of Radiative Pysics California State University Monterey Bay, Seaside, CA 93955 USA
More informationSection 3.1: Derivatives of Polynomials and Exponential Functions
Section 3.1: Derivatives of Polynomials and Exponential Functions In previous sections we developed te concept of te derivative and derivative function. Te only issue wit our definition owever is tat it
More informationChapter 2 Ising Model for Ferromagnetism
Capter Ising Model for Ferromagnetism Abstract Tis capter presents te Ising model for ferromagnetism, wic is a standard simple model of a pase transition. Using te approximation of mean-field teory, te
More informationQuantum mechanical effects in internal photoemission THz detectors
Infrared Pysics & Tecnology 50 (007) 199 05 www.elsevier.com/locate/infrared Quantum mecanical effects in internal potoemission THz detectors M.B. Rinzan, S. Matsik, A.G.U. Perera * Department of Pysics
More informationChapter Seven The Quantum Mechanical Simple Harmonic Oscillator
Capter Seven Te Quantum Mecanical Simple Harmonic Oscillator Introduction Te potential energy function for a classical, simple armonic oscillator is given by ZÐBÑ œ 5B were 5 is te spring constant. Suc
More information5.74 Introductory Quantum Mechanics II
MIT OpenCourseWare ttp://ocw.mit.edu 5.74 Introductory Quantum Mecanics II Spring 9 For information about citing tese materials or our Terms of Use, visit: ttp://ocw.mit.edu/terms. Andrei Tokmakoff, MIT
More informationNotes on Renormalization Group: Introduction
Notes on Renormalization Group: Introduction Yi Zou (Dated: November 19, 2015) We introduce brief istory for te development of renormalization group (RG) in pysics. Kadanoff s scaling ypoteis is present
More information3.1 Extreme Values of a Function
.1 Etreme Values of a Function Section.1 Notes Page 1 One application of te derivative is finding minimum and maimum values off a grap. In precalculus we were only able to do tis wit quadratics by find
More information1 Calculus. 1.1 Gradients and the Derivative. Q f(x+h) f(x)
Calculus. Gradients and te Derivative Q f(x+) δy P T δx R f(x) 0 x x+ Let P (x, f(x)) and Q(x+, f(x+)) denote two points on te curve of te function y = f(x) and let R denote te point of intersection of
More informationTeaching Differentiation: A Rare Case for the Problem of the Slope of the Tangent Line
Teacing Differentiation: A Rare Case for te Problem of te Slope of te Tangent Line arxiv:1805.00343v1 [mat.ho] 29 Apr 2018 Roman Kvasov Department of Matematics University of Puerto Rico at Aguadilla Aguadilla,
More informationCHAPTER 4 QUANTUM PHYSICS
CHAPTER 4 QUANTUM PHYSICS INTRODUCTION Newton s corpuscular teory of ligt fails to explain te penomena like interference, diffraction, polarization etc. Te wave teory of ligt wic was proposed by Huygen
More informationPhysics 207 Lecture 23
ysics 07 Lecture ysics 07, Lecture 8, Dec. Agenda:. Finis, Start. Ideal gas at te molecular level, Internal Energy Molar Specific Heat ( = m c = n ) Ideal Molar Heat apacity (and U int = + W) onstant :
More informationQuasiperiodic phenomena in the Van der Pol - Mathieu equation
Quasiperiodic penomena in te Van der Pol - Matieu equation F. Veerman and F. Verulst Department of Matematics, Utrect University P.O. Box 80.010, 3508 TA Utrect Te Neterlands April 8, 009 Abstract Te Van
More informationDELFT UNIVERSITY OF TECHNOLOGY Faculty of Electrical Engineering, Mathematics and Computer Science
DELFT UNIVERSITY OF TECHNOLOGY Faculty of Electrical Engineering, Matematics and Computer Science. ANSWERS OF THE TEST NUMERICAL METHODS FOR DIFFERENTIAL EQUATIONS (WI3097 TU) Tuesday January 9 008, 9:00-:00
More informationSolution. Solution. f (x) = (cos x)2 cos(2x) 2 sin(2x) 2 cos x ( sin x) (cos x) 4. f (π/4) = ( 2/2) ( 2/2) ( 2/2) ( 2/2) 4.
December 09, 20 Calculus PracticeTest s Name: (4 points) Find te absolute extrema of f(x) = x 3 0 on te interval [0, 4] Te derivative of f(x) is f (x) = 3x 2, wic is zero only at x = 0 Tus we only need
More informationPerformance analysis of Carbon Nano Tubes
IOSR Journal of Engineering (IOSRJEN) ISSN: 2250-3021 Volume 2, Issue 8 (August 2012), PP 54-58 Performance analysis of Carbon Nano Tubes P.S. Raja, R.josep Daniel, Bino. N Dept. of E & I Engineering,
More informationIntroduction to Derivatives
Introduction to Derivatives 5-Minute Review: Instantaneous Rates and Tangent Slope Recall te analogy tat we developed earlier First we saw tat te secant slope of te line troug te two points (a, f (a))
More informationChapter 4 Optimal Design
4- Capter 4 Optimal Design e optimum design of termoelectric devices (termoelectric generator and cooler) in conjunction wit eat sins was developed using dimensional analysis. ew dimensionless groups were
More informationFinite Difference Methods Assignments
Finite Difference Metods Assignments Anders Söberg and Aay Saxena, Micael Tuné, and Maria Westermarck Revised: Jarmo Rantakokko June 6, 1999 Teknisk databeandling Assignment 1: A one-dimensional eat equation
More information1 1. Rationalize the denominator and fully simplify the radical expression 3 3. Solution: = 1 = 3 3 = 2
MTH - Spring 04 Exam Review (Solutions) Exam : February 5t 6:00-7:0 Tis exam review contains questions similar to tose you sould expect to see on Exam. Te questions included in tis review, owever, are
More informationA h u h = f h. 4.1 The CoarseGrid SystemandtheResidual Equation
Capter Grid Transfer Remark. Contents of tis capter. Consider a grid wit grid size and te corresponding linear system of equations A u = f. Te summary given in Section 3. leads to te idea tat tere migt
More informationThe electronic band parameters calculated by the Tight Binding Approximation for Cd 1-x Zn x S quantum dot superlattices
IOSR Journal of Applied Pysics (IOSR-JAP) e-issn: 78-486.Volume 6, Issue Ver. II (Mar-Apr. 04), PP 5- Te electronic band parameters calculated by te Tigt Binding Approximation for Cd -x Zn x S quantum
More informationThe structure of the atoms
Te structure of te atoms Atomos = indivisible University of Pécs, Medical Scool, Dept. Biopysics All tat exists are atoms and empty space; everyting else is merely tougt to exist. Democritus, 415 B.C.
More informationPerformance Prediction of Commercial Thermoelectric Cooler. Modules using the Effective Material Properties
Performance Prediction of Commercial ermoelectric Cooler Modules using te Effective Material Properties HoSung Lee, Alaa M. Attar, Sean L. Weera Mecanical and Aerospace Engineering, Western Micigan University,
More informationAverage Rate of Change
Te Derivative Tis can be tougt of as an attempt to draw a parallel (pysically and metaporically) between a line and a curve, applying te concept of slope to someting tat isn't actually straigt. Te slope
More informationInfluence of Tip-induced Band Bending on Tunneling Spectra of Semiconductor Surfaces
Influence of Tip-induced Band Bending on Tunneling Spectra of Semiconductor Surfaces R. M. Feenstra and Y. Dong Department of Pysics, Carnegie Mellon University, Pittsburg, Pennsylvania 1513 M. P. Semtsiv
More informationSECTION 3.2: DERIVATIVE FUNCTIONS and DIFFERENTIABILITY
(Section 3.2: Derivative Functions and Differentiability) 3.2.1 SECTION 3.2: DERIVATIVE FUNCTIONS and DIFFERENTIABILITY LEARNING OBJECTIVES Know, understand, and apply te Limit Definition of te Derivative
More informationSECTION 1.10: DIFFERENCE QUOTIENTS LEARNING OBJECTIVES
(Section.0: Difference Quotients).0. SECTION.0: DIFFERENCE QUOTIENTS LEARNING OBJECTIVES Define average rate of cange (and average velocity) algebraically and grapically. Be able to identify, construct,
More informationNUMERICAL DIFFERENTIATION. James T. Smith San Francisco State University. In calculus classes, you compute derivatives algebraically: for example,
NUMERICAL DIFFERENTIATION James T Smit San Francisco State University In calculus classes, you compute derivatives algebraically: for example, f( x) = x + x f ( x) = x x Tis tecnique requires your knowing
More information1. Consider the trigonometric function f(t) whose graph is shown below. Write down a possible formula for f(t).
. Consider te trigonometric function f(t) wose grap is sown below. Write down a possible formula for f(t). Tis function appears to be an odd, periodic function tat as been sifted upwards, so we will use
More information2016 PRELIM 2 PAPER 2 MARK SCHEME
06 River Valley Hig Scool Prelim Paper Mark Sceme 06 PRELIM PAPER MARK SCHEME (a) V 5.00 X 85. 9V 3 I.7 0 X V I X V I X 0.03 0. 85.9 5.00.7 X 48.3 00 X X 900 00 [A0] Anomalous data can be identified. Systematic
More informationQuantum Mechanics Chapter 1.5: An illustration using measurements of particle spin.
I Introduction. Quantum Mecanics Capter.5: An illustration using measurements of particle spin. Quantum mecanics is a teory of pysics tat as been very successful in explaining and predicting many pysical
More informationGRID CONVERGENCE ERROR ANALYSIS FOR MIXED-ORDER NUMERICAL SCHEMES
GRID CONVERGENCE ERROR ANALYSIS FOR MIXED-ORDER NUMERICAL SCHEMES Cristoper J. Roy Sandia National Laboratories* P. O. Box 5800, MS 085 Albuquerque, NM 8785-085 AIAA Paper 00-606 Abstract New developments
More informationMATHEMATICS FOR ENGINEERING DIFFERENTIATION TUTORIAL 1 - BASIC DIFFERENTIATION
MATHEMATICS FOR ENGINEERING DIFFERENTIATION TUTORIAL 1 - BASIC DIFFERENTIATION Tis tutorial is essential pre-requisite material for anyone stuing mecanical engineering. Tis tutorial uses te principle of
More informationUniversity Mathematics 2
University Matematics 2 1 Differentiability In tis section, we discuss te differentiability of functions. Definition 1.1 Differentiable function). Let f) be a function. We say tat f is differentiable at
More informationERROR BOUNDS FOR THE METHODS OF GLIMM, GODUNOV AND LEVEQUE BRADLEY J. LUCIER*
EO BOUNDS FO THE METHODS OF GLIMM, GODUNOV AND LEVEQUE BADLEY J. LUCIE* Abstract. Te expected error in L ) attimet for Glimm s sceme wen applied to a scalar conservation law is bounded by + 2 ) ) /2 T
More informationAPPROXIMATION OF CRYSTALLINE DENDRITE GROWTH IN TWO SPACE DIMENSIONS. Introduction
Acta Mat. Univ. Comenianae Vol. LXVII, 1(1998), pp. 57 68 57 APPROXIMATION OF CRYSTALLINE DENDRITE GROWTH IN TWO SPACE DIMENSIONS A. SCHMIDT Abstract. Te pase transition between solid and liquid in an
More informationMiniaturization of Electronic System and Various Characteristic lengths in low dimensional systems
Miniaturization of Electronic System and Various Caracteristic lengts in low dimensional systems R. Jon Bosco Balaguru Professor Scool of Electrical & Electronics Engineering SASTRA University B. G. Jeyaprakas
More informationA MONTE CARLO ANALYSIS OF THE EFFECTS OF COVARIANCE ON PROPAGATED UNCERTAINTIES
A MONTE CARLO ANALYSIS OF THE EFFECTS OF COVARIANCE ON PROPAGATED UNCERTAINTIES Ronald Ainswort Hart Scientific, American Fork UT, USA ABSTRACT Reports of calibration typically provide total combined uncertainties
More informationCHAPTER 2 MODELING OF THREE-TANK SYSTEM
7 CHAPTER MODELING OF THREE-TANK SYSTEM. INTRODUCTION Te interacting tree-tank system is a typical example of a nonlinear MIMO system. Heiming and Lunze (999) ave regarded treetank system as a bencmark
More informationElectron transport through a strongly correlated monoatomic chain
Surface Science () 97 7 www.elsevier.com/locate/susc Electron transport troug a strongly correlated monoatomic cain M. Krawiec *, T. Kwapiński Institute of Pysics and anotecnology Center, M. Curie-Skłodowska
More information4.2 - Richardson Extrapolation
. - Ricardson Extrapolation. Small-O Notation: Recall tat te big-o notation used to define te rate of convergence in Section.: Definition Let x n n converge to a number x. Suppose tat n n is a sequence
More informationCubic Functions: Local Analysis
Cubic function cubing coefficient Capter 13 Cubic Functions: Local Analysis Input-Output Pairs, 378 Normalized Input-Output Rule, 380 Local I-O Rule Near, 382 Local Grap Near, 384 Types of Local Graps
More information