Physics 521: Graduate Quantum Mechanics I Problem Set #7 Introduction to Wave Mechanics Best Source for This Subject – Merzba
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Degenerate Eigenvalue Problem 32.1 Degenerate Perturbation
Physics 342 Lecture 32 Degenerate Eigenvalue Problem Lecture 32 Physics 342 Quantum Mechanics I Wednesday, April 23rd, 2008 We have the matrix form of the first order perturbative result from last time. This carries over pretty directly to the Schr¨odingerequation, with only minimal replacement (the inner product and finite vector space change, but notationally, the results are identical). Because there are a variety of quantum mechanical systems with degenerate spectra (like the Hydrogen 2 eigenstates, each En has n associated eigenstates) and we want to be able to predict the energy shift associated with perturbations in these systems, we can copy our arguments for matrices to cover matrices with more than one eigenvector per eigenvalue. The punch line of that program is that we can use the non-degenerate perturbed energies, provided we start with the \correct" degenerate linear combinations. 32.1 Degenerate Perturbation N×N Going back to our symmetric matrix example, we have A IR , and 2 again, a set of eigenvectors and eigenvalues: A xi = λi xi. This time, suppose that the eigenvalue λi has a set of M associated eigenvectors { that is, suppose a set of eigenvectors yj satisfy: A yj = λi yj j = 1 M (32.1) −! 1 of 9 32.1. DEGENERATE PERTURBATION Lecture 32 (so this represents M separate equations) that are themselves orthonormal1. Clearly, any linear combination of these vectors is also an eigenvector: M M X X A βk yk = λi βk yk: (32.2) k=1 k=1 M PM Define the general combination of yi to be z βk yk, also an f gi=1 ≡ k=1 eigenvector of A with eigenvalue λi. -
DEGENERACY CURVES, GAPS, and DIABOLICAL POINTS in the SPECTRA of NEUMANN PARALLELOGRAMS P Overfelt
DEGENERACY CURVES, GAPS, AND DIABOLICAL POINTS IN THE SPECTRA OF NEUMANN PARALLELOGRAMS P Overfelt To cite this version: P Overfelt. DEGENERACY CURVES, GAPS, AND DIABOLICAL POINTS IN THE SPECTRA OF NEUMANN PARALLELOGRAMS. 2020. hal-03017250 HAL Id: hal-03017250 https://hal.archives-ouvertes.fr/hal-03017250 Preprint submitted on 20 Nov 2020 HAL is a multi-disciplinary open access L’archive ouverte pluridisciplinaire HAL, est archive for the deposit and dissemination of sci- destinée au dépôt et à la diffusion de documents entific research documents, whether they are pub- scientifiques de niveau recherche, publiés ou non, lished or not. The documents may come from émanant des établissements d’enseignement et de teaching and research institutions in France or recherche français ou étrangers, des laboratoires abroad, or from public or private research centers. publics ou privés. DEGENERACY CURVES, GAPS, AND DIABOLICAL POINTS IN THE SPECTRA OF NEUMANN PARALLELOGRAMS P. L. OVERFELT Abstract. In this paper we consider the problem of solving the Helmholtz equation over the space of all parallelograms subject to Neumann boundary conditions and determining the degeneracies occurring in their spectra upon changing the two parameters, angle and side ratio. This problem is solved numerically using the finite element method (FEM). Specifically for the lowest eleven normalized eigenvalue levels of the family of Neumann parallelograms, the intersection of two (or more) adjacent eigen- value level surfaces occurs in one of three ways: either as an isolated point associated with the special geometries, i.e., the rectangle, the square, or the rhombus, as part of a degeneracy curve which appears to contain an infinite number of points, or as a diabolical point in the Neumann parallelogram spec- trum. -
A Singular One-Dimensional Bound State Problem and Its Degeneracies
A Singular One-Dimensional Bound State Problem and its Degeneracies Fatih Erman1, Manuel Gadella2, Se¸cil Tunalı3, Haydar Uncu4 1 Department of Mathematics, Izmir˙ Institute of Technology, Urla, 35430, Izmir,˙ Turkey 2 Departamento de F´ısica Te´orica, At´omica y Optica´ and IMUVA. Universidad de Valladolid, Campus Miguel Delibes, Paseo Bel´en 7, 47011, Valladolid, Spain 3 Department of Mathematics, Istanbul˙ Bilgi University, Dolapdere Campus 34440 Beyo˘glu, Istanbul,˙ Turkey 4 Department of Physics, Adnan Menderes University, 09100, Aydın, Turkey E-mail: [email protected], [email protected], [email protected], [email protected] October 20, 2017 Abstract We give a brief exposition of the formulation of the bound state problem for the one-dimensional system of N attractive Dirac delta potentials, as an N N matrix eigenvalue problem (ΦA = ωA). The main aim of this paper is to illustrate that the non-degeneracy× theorem in one dimension breaks down for the equidistantly distributed Dirac delta potential, where the matrix Φ becomes a special form of the circulant matrix. We then give elementary proof that the ground state is always non-degenerate and the associated wave function may be chosen to be positive by using the Perron-Frobenius theorem. We also prove that removing a single center from the system of N delta centers shifts all the bound state energy levels upward as a simple consequence of the Cauchy interlacing theorem. Keywords. Point interactions, Dirac delta potentials, bound states. 1 Introduction Dirac delta potentials or point interactions, or sometimes called contact potentials are one of the exactly solvable classes of idealized potentials, and are used as a pedagogical tool to illustrate various physically important phenomena, where the de Broglie wavelength of the particle is much larger than the range of the interaction. -
Quantum Mechanics
Quantum Mechanics Richard Fitzpatrick Professor of Physics The University of Texas at Austin Contents 1 Introduction 5 1.1 Intendedaudience................................ 5 1.2 MajorSources .................................. 5 1.3 AimofCourse .................................. 6 1.4 OutlineofCourse ................................ 6 2 Probability Theory 7 2.1 Introduction ................................... 7 2.2 WhatisProbability?.............................. 7 2.3 CombiningProbabilities. ... 7 2.4 Mean,Variance,andStandardDeviation . ..... 9 2.5 ContinuousProbabilityDistributions. ........ 11 3 Wave-Particle Duality 13 3.1 Introduction ................................... 13 3.2 Wavefunctions.................................. 13 3.3 PlaneWaves ................................... 14 3.4 RepresentationofWavesviaComplexFunctions . ....... 15 3.5 ClassicalLightWaves ............................. 18 3.6 PhotoelectricEffect ............................. 19 3.7 QuantumTheoryofLight. .. .. .. .. .. .. .. .. .. .. .. .. .. 21 3.8 ClassicalInterferenceofLightWaves . ...... 21 3.9 QuantumInterferenceofLight . 22 3.10 ClassicalParticles . .. .. .. .. .. .. .. .. .. .. .. .. .. .. 25 3.11 QuantumParticles............................... 25 3.12 WavePackets .................................. 26 2 QUANTUM MECHANICS 3.13 EvolutionofWavePackets . 29 3.14 Heisenberg’sUncertaintyPrinciple . ........ 32 3.15 Schr¨odinger’sEquation . 35 3.16 CollapseoftheWaveFunction . 36 4 Fundamentals of Quantum Mechanics 39 4.1 Introduction .................................. -
11.-HYPERBOLA-THEORY.Pdf
12. HYPERBOLA 1. INTRODUCTION A hyperbola is the locus of a point which moves in the plane in such a way that Z the ratio of its distance from a fixed point in the same plane to its distance X’ P from a fixed line is always constant which is always greater than unity. M The fixed point is called the focus, the fixed line is called the directrix. The constant ratio is generally denoted by e and is known as the eccentricity of the Directrix hyperbola. A hyperbola can also be defined as the locus of a point such that S (focus) the absolute value of the difference of the distances from the two fixed points Z’ (foci) is constant. If S is the focus, ZZ′ is the directrix and P is any point on the hyperbola as show in figure. Figure 12.1 SP Then by definition, we have = e (e > 1). PM Note: The general equation of a conic can be taken as ax22+ 2hxy + by + 2gx + 2fy += c 0 This equation represents a hyperbola if it is non-degenerate (i.e. eq. cannot be written into two linear factors) ahg ∆ ≠ 0, h2 > ab. Where ∆=hb f gfc MASTERJEE CONCEPTS 1. The general equation ax22+ 2hxy + by + 2gx + 2fy += c 0 can be written in matrix form as ahgx ah x x y + 2gx + 2fy += c 0 and xy1hb f y = 0 hb y gfc1 Degeneracy condition depends on the determinant of the 3x3 matrix and the type of conic depends on the determinant of the 2x2 matrix. -
Electric Polarizability in the Three Dimensional Problem and the Solution of an Inhomogeneous Differential Equation
Electric polarizability in the three dimensional problem and the solution of an inhomogeneous differential equation M. A. Maizea) and J. J. Smetankab) Department of Physics, Saint Vincent College, Latrobe, PA 15650 USA In previous publications, we illustrated the effectiveness of the method of the inhomogeneous differential equation in calculating the electric polarizability in the one-dimensional problem. In this paper, we extend our effort to apply the method to the three-dimensional problem. We calculate the energy shift of a quantum level using second-order perturbation theory. The energy shift is then used to calculate the electric polarizability due to the interaction between a static electric field and a charged particle moving under the influence of a spherical delta potential. No explicit use of the continuum states is necessary to derive our results. I. INTRODUCTION In previous work1-3, we employed the simple and elegant method of the inhomogeneous differential equation4 to calculate the energy shift of a quantum level in second-order perturbation theory. The energy shift was a result of an interaction between an applied static electric field and a charged particle moving under the influence of a one-dimensional bound 1 potential. The electric polarizability, , was obtained using the basic relationship ∆퐸 = 휖2 0 2 with ∆퐸0 being the energy shift and is the magnitude of the applied electric field. The method of the inhomogeneous differential equation devised by Dalgarno and Lewis4 and discussed by Schwartz5 can be used in a large variety of problems as a clever replacement for conventional perturbation methods. As we learn in our introductory courses in quantum mechanics, calculating the energy shift in second-order perturbation using conventional methods involves a sum (which can be infinite) or an integral that contains all possible states allowed by the transition. -
Revisiting Double Dirac Delta Potential
Revisiting double Dirac delta potential Zafar Ahmed1, Sachin Kumar2, Mayank Sharma3, Vibhu Sharma3;4 1Nuclear Physics Division, Bhabha Atomic Research Centre, Mumbai 400085, India 2Theoretical Physics Division, Bhabha Atomic Research Centre, Mumbai 400085, India 3;4Amity Institute of Applied Sciences, Amity University, Noida, UP, 201313, India∗ (Dated: June 14, 2016) Abstract We study a general double Dirac delta potential to show that this is the simplest yet versatile solvable potential to introduce double wells, avoided crossings, resonances and perfect transmission (T = 1). Perfect transmission energies turn out to be the critical property of symmetric and anti- symmetric cases wherein these discrete energies are found to correspond to the eigenvalues of Dirac delta potential placed symmetrically between two rigid walls. For well(s) or barrier(s), perfect transmission [or zero reflectivity, R(E)] at energy E = 0 is non-intuitive. However, earlier this has been found and called \threshold anomaly". Here we show that it is a critical phenomenon and we can have 0 ≤ R(0) < 1 when the parameters of the double delta potential satisfy an interesting condition. We also invoke zero-energy and zero curvature eigenstate ( (x) = Ax + B) of delta well between two symmetric rigid walls for R(0) = 0. We resolve that the resonant energies and the perfect transmission energies are different and they arise differently. arXiv:1603.07726v4 [quant-ph] 13 Jun 2016 ∗Electronic address: 1:[email protected], 2: [email protected], 3: [email protected], 4:[email protected] 1 I. INTRODUCTION The general one-dimensional Double Dirac Delta Potential (DDDP) is written as [see Fig. -
Table: Various One Dimensional Potentials System Physical Potential Total Energies and Probability Density Significant Feature Correspondence Free Particle I.E
Chapter 2 (Lecture 4-6) Schrodinger equation for some simple systems Table: Various one dimensional potentials System Physical Potential Total Energies and Probability density Significant feature correspondence Free particle i.e. Wave properties of Zero Potential Proton beam particle Molecule Infinite Potential Well Approximation of Infinite square confined to box finite well well potential 8 6 4 2 0 0.0 0.5 1.0 1.5 2.0 2.5 x Conduction Potential Barrier Penetration of Step Potential 4 electron near excluded region (E<V) surface of metal 3 2 1 0 4 2 0 2 4 6 8 x Neutron trying to Potential Barrier Partial reflection at Step potential escape nucleus 5 potential discontinuity (E>V) 4 3 2 1 0 4 2 0 2 4 6 8 x Α particle trying Potential Barrier Tunneling Barrier potential to escape 4 (E<V) Coulomb barrier 3 2 1 0 4 2 0 2 4 6 8 x 1 Electron Potential Barrier No reflection at Barrier potential 5 scattering from certain energies (E>V) negatively 4 ionized atom 3 2 1 0 4 2 0 2 4 6 8 x Neutron bound in Finite Potential Well Energy quantization Finite square well the nucleus potential 4 3 2 1 0 2 0 2 4 6 x Aromatic Degenerate quantum Particle in a ring compounds states contains atomic rings. Model the Quantization of energy Particle in a nucleus with a and degeneracy of spherical well potential which is or states zero inside the V=0 nuclear radius and infinite outside that radius. -
LESSON PLAN B.Sc
DEPARTMENT OF PHYSICS AND NANOTECHNOLOGY LESSON PLAN B.Sc. – THIRD YEAR (2015-2016 REGULATION) FIFTH SEMESTER . SRM UNIVERSITY FACULTY OF SCIENCE AND HUMANITIES SRM NAGAR, KATTANKULATHUR – 603 203 SRM UNIVERSITY FACULTY OF SCIENCE AND HUMANITIES DEPARTMENT OF PHYSICS AND NANOTECHNOLOGY Third Year B.Sc Physics (2015-2016 Regulation) Course Code: UPY15501 Course Title: Quantum Mechanics Semester: V Course Time: JUL 2016 – DEC 2017 Location: S.R.M. UNIVERSITY OBJECTIVES 1. To understand the dual nature of matter wave. 2. To apply the Schrodinger equation to different potential. 3. To understand the Heisenberg Uncertainty Relation and its application. 4. To emphasize the significance of Harmonic Oscillator Potential and Hydrogen atom. Assessment Details: Cycle Test – I : 10 Marks Cycle Test – II : 10 Marks Model Exam : 20 Marks Assignments : 5 Marks Attendance : 5 Marks SRM UNIVERSITY FACULTY OF SCIENCE AND HUMANITIES DEPARTMENT OF PHYSICS AND NANOTECHNOLOGY Third Year B.Sc Physics (2015-2016 Regulation) Total Course Semester Course Title L T P of C Code LTP II UPY15501 QUANTUM MECHANICS 4 1 - 5 4 UNIT I - WAVE NATURE OF MATTER Inadequacy of classical mechanics - Black body radiation - Quantum theory – Photo electric effect -Compton effect -Wave nature of matter-Expressions for de-Broglie wavelength - Davisson and Germer's experiment - G.P. Thomson experiment - Phase and group velocity and relation between them - Wave packet - Heisenberg's uncertainity principle – Its consequences (free electron cannot reside inside the nucleus and gamma ray microscope). UNIT II - QUANTUM POSTULATES Basic postulates of quantum mechanics - Schrodinger's equation - Time Independent -Time Dependant - Properties of wave function - Operator formalism – Energy - Momentum and Hamiltonian Operators - Interpretation of Wave Function - Probability Density and Probability - Conditions for Physical Acceptability of Wave Function -. -
Triangle-Free Penny Graphs: Degeneracy, Choosability, and Edge Count
Triangle-Free Penny Graphs: Degeneracy, Choosability, and Edge Count David Eppstein 25th International Symposium on Graph Drawing & Network Visualization Boston, Massachusetts, September 2017 Circle packing theorem Contacts of interior-disjoint disks in the plane form a planar graph All planar graphs can be represented this way Unique (up to M¨obius)for triangulated graphs [Koebe 1936; Andreev 1970; Thurston 2002] Balanced circle packing Some planar graphs may require exponentially-different radii a b c d But polynomial radii are e f g h i j k possible for: l m n o I Trees p I Outerpaths I Cactus graphs a I Bounded tree-depth b c d [Alam et al. 2015] j e g h i f m k l p n o Perfect balance Circle packings with all radii equal represent penny graphs [Harborth 1974; Erd}os1987] Penny graphs as proximity graphs Given any finite set of points in the plane Draw an edge between each closest pair of points (Pennies: circles centered at the given points with radius = half the minimum distance) So penny graphs may also be called closest-pair graphs or minimum-distance graphs Penny graphs as optimal graph drawings Penny graphs are exactly graphs that can be drawn I With no crossings I All edges equal length I Angular resolution ≥ π=3 Properties of penny graphs 3-degenerate (convex hull vertices have degree ≤ 3) ) easy proof of 4-color theorem; 4-list-colorable [Hartsfield and Ringel 2003] p Number of edges at most 3n − 12n − 3 Maximized by packing into a hexagon [Harborth 1974; Kupitz 1994] NP-hard to recognize, even for trees [Bowen et al. -
Piecewise Potentials II
Physics 342 Lecture 13 Piecewise Potentials II Lecture 13 Physics 342 Quantum Mechanics I Monday, February 25th, 2008 We have seen a few different types of behavior for the stationary states of piecewise potentials { we can have oscillatory solutions on one or both sides of a potential discontinuity, we can also have growing and decaying exponentials. In general, we will select between the oscillatory and decaying exponential by choosing an energy scale for the stationary state. Our final pass at this subject will begin with a finite step, where we set up some matrix machinery to avoid the tedious algebra that accompanies boundary matching. Aside from the result, the important observation is that the matrix form we develop is independent of the potential, so that we can apply this type of approach to any potential, provided it does not extend to infinity. Remember the process we are going through over and over (and over): Given a potential, find the stationary states, use those to form the general solution to Schr¨odinger'sequation by appending the appropriate temporal factor −i E t (e ~ ), and exploit completeness to decompose some initial ¯(x) waveform. In practice, as should be evident from our studies so far, this program is sensible but difficult. The initial distribution of choice, a Gaussian, has unwieldy decomposition in bases other than ei k x (the natural, Fourier set) { is there another/easier way to get a basic idea of what an initial Gaussian distribution does when evolved in time under the influence of a potential? Yes, and we discuss the simplest possible numerical solution at the end. -
Removing Degeneracy May Require a Large Dimension Increase∗
THEORY OF COMPUTING, Volume 3 (2007), pp. 159–177 http://theoryofcomputing.org Removing Degeneracy May Require a Large Dimension Increase∗ Jirˇ´ı Matousekˇ Petr Skovroˇ nˇ Received: March 12, 2007; published: September 26, 2007. Abstract: Many geometric algorithms are formulated for input objects in general position; sometimes this is for convenience and simplicity, and sometimes it is essential for the al- gorithm to work at all. For arbitrary inputs this requires removing degeneracies, which has usually been solved by relatively complicated and computationally demanding perturbation methods. The result of this paper can be regarded as an indication that the problem of removing degeneracies has no simple “abstract” solution. We consider LP-type problems, a successful axiomatic framework for optimization problems capturing, e. g., linear programming and the smallest enclosing ball of a point set. For infinitely many integers D we construct a D- dimensional LP-type problem such that in order to remove degeneracies from it, we have to increase the dimension to at least (1 + ε)D, where ε > 0 is an absolute constant. The proof consists of showing that certain posets cannot be covered by pairwise disjoint copies of Boolean algebras under some restrictions on their placement. To this end, we prove that certain systems of linear inequalities are unsolvable, which seems to require surprisingly precise calculations. ∗An extended abstract of this paper has appeared in Proceedings of European Conference on Combinatorics, Graph Theory and Applications 2007 (Eurocomb), pp. 107–113. ACM Classification: F.2.2 AMS Classification: 68U05, 06A07, 68R99 Key words and phrases: LP-type problem, degeneracy, general position, geometric computation, par- tially ordered set Authors retain copyright to their work and grant Theory of Computing unlimited rights to publish the work electronically and in hard copy.