Screw Rotations and Glide Mirrors: Crystallography in Fourier Space
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Screw and Lie Group Theory in Multibody Dynamics Recursive Algorithms and Equations of Motion of Tree-Topology Systems
Multibody Syst Dyn DOI 10.1007/s11044-017-9583-6 Screw and Lie group theory in multibody dynamics Recursive algorithms and equations of motion of tree-topology systems Andreas Müller1 Received: 12 November 2016 / Accepted: 16 June 2017 © The Author(s) 2017. This article is published with open access at Springerlink.com Abstract Screw and Lie group theory allows for user-friendly modeling of multibody sys- tems (MBS), and at the same they give rise to computationally efficient recursive algo- rithms. The inherent frame invariance of such formulations allows to use arbitrary reference frames within the kinematics modeling (rather than obeying modeling conventions such as the Denavit–Hartenberg convention) and to avoid introduction of joint frames. The com- putational efficiency is owed to a representation of twists, accelerations, and wrenches that minimizes the computational effort. This can be directly carried over to dynamics formula- tions. In this paper, recursive O(n) Newton–Euler algorithms are derived for the four most frequently used representations of twists, and their specific features are discussed. These for- mulations are related to the corresponding algorithms that were presented in the literature. Two forms of MBS motion equations are derived in closed form using the Lie group formu- lation: the so-called Euler–Jourdain or “projection” equations, of which Kane’s equations are a special case, and the Lagrange equations. The recursive kinematics formulations are readily extended to higher orders in order to compute derivatives of the motions equations. To this end, recursive formulations for the acceleration and jerk are derived. It is briefly discussed how this can be employed for derivation of the linearized motion equations and their time derivatives. -
Nanocrystalline Nanowires: I. Structure
Nanocrystalline Nanowires: I. Structure Philip B. Allen Department of Physics and Astronomy, State University of New York, Stony Brook, NY 11794-3800∗ and Center for Functional Nanomaterials, Brookhaven National Laboratory, Upton, NY 11973-5000 (Dated: September 7, 2006) Geometric constructions of possible atomic arrangements are suggested for inorganic nanowires. These are fragments of bulk crystals, and can be called \nanocrystalline" nanowires (NCNW). To minimize surface polarity, nearly one-dimensional formula units, oriented along the growth axis, generate NCNW's by translation and rotation. PACS numbers: 61.46.-w, 68.65.La, 68.70.+w Introduction. Periodic one-dimensional (1D) motifs twinned16; \core-shell" (COHN)4,17; and longitudinally are common in nature. The study of single-walled car- heterogeneous (LOHN) NCNW's. bon nanotubes (SWNT)1,2 is maturing rapidly, but other Design principle. The remainder of this note is about 1D systems are at an earlier stage. Inorganic nanowires NCNW's. It offers a possible design principle, which as- are the topic of the present two papers. There is much sists visualization of candidate atomic structures, and optimism in this field3{6. Imaging gives insight into provides a template for arrangements that can be tested self-assembled nanostructures, and incentives to improve theoretically, for example by density functional theory growth protocols. Electron microscopy, diffraction, and (DFT). The basic idea is (1) choose a maximally linear, optical spectroscopy on individual wires7 provide detailed charge-neutral, and (if possible) dipole-free atomic clus- information. Device applications are expected. These ter containing a single formula unit, and (2) using if possi- systems offer great opportunities for atomistic modelling. -
Glide and Screw
Space Groups •The 32 crystallographic point groups, whose operation have at least one point unchanged, are sufficient for the description of finite, macroscopic objects. •However since ideal crystals extend indefinitely in all directions, we must also include translations (the Bravais lattices) in our description of symmetry. Space groups: formed when combining a point symmetry group with a set of lattice translation vectors (the Bravais lattices), i.e. self-consistent set of symmetry operations acting on a Bravais lattice. (Space group lattice types and translations have no meaning in point group symmetry.) Space group numbers for all the crystal structures we have discussed this semester, and then some, are listed in DeGraef and Rohrer books and pdf. document on structures and AFLOW website, e.g. ZnS (zincblende) belongs to SG # 216: F43m) Class21/1 Screw Axes •The combination of point group symmetries and translations also leads to two additional operators known as glide and screw. •The screw operation is a combination of a rotation and a translation parallel to the rotation axis. •As for simple rotations, only diad, triad, tetrad and hexad axes, that are consistent with Bravais lattice translation vectors can be used for a screw operator. •In addition, the translation on each rotation must be a rational fraction of the entire translation. •There is no combination of rotations or translations that can transform the pattern produced by 31 to the pattern of 32 , and 41 to the pattern of 43, etc. •Thus, the screw operation results in handedness Class21/2 or chirality (can’t superimpose image on another, e.g., mirror image) to the pattern. -
Symmetry Indicators and Anomalous Surface States of Topological Crystalline Insulators
PHYSICAL REVIEW X 8, 031070 (2018) Symmetry Indicators and Anomalous Surface States of Topological Crystalline Insulators Eslam Khalaf,1,2 Hoi Chun Po,2 Ashvin Vishwanath,2 and Haruki Watanabe3 1Max Planck Institute for Solid State Research, Heisenbergstraße 1, 70569 Stuttgart, Germany 2Department of Physics, Harvard University, Cambridge, Massachusetts 02138, USA 3Department of Applied Physics, University of Tokyo, Tokyo 113-8656, Japan (Received 15 February 2018; published 14 September 2018) The rich variety of crystalline symmetries in solids leads to a plethora of topological crystalline insulators (TCIs), featuring distinct physical properties, which are conventionally understood in terms of bulk invariants specialized to the symmetries at hand. While isolated examples of TCI have been identified and studied, the same variety demands a unified theoretical framework. In this work, we show how the surfaces of TCIs can be analyzed within a general surface theory with multiple flavors of Dirac fermions, whose mass terms transform in specific ways under crystalline symmetries. We identify global obstructions to achieving a fully gapped surface, which typically lead to gapless domain walls on suitably chosen surface geometries. We perform this analysis for all 32 point groups, and subsequently for all 230 space groups, for spin-orbit-coupled electrons. We recover all previously discussed TCIs in this symmetry class, including those with “hinge” surface states. Finally, we make connections to the bulk band topology as diagnosed through symmetry-based indicators. We show that spin-orbit-coupled band insulators with nontrivial symmetry indicators are always accompanied by surface states that must be gapless somewhere on suitably chosen surfaces. We provide an explicit mapping between symmetry indicators, which can be readily calculated, and the characteristic surface states of the resulting TCIs. -
1 NANO 704-Crystallography & Structure of Nanomaterials 3
1 NANO 704-Crystallography & Structure of Nanomaterials 3. Space Groups Space lattices Lattice points are all equivalent by translational symmetry. We start with a primitive lattice, having points at rabcuvw uvw, where uvw,, ¢ . So lattice points exist at (0,0,0) and all equivalent positions. If we have a lattice point at xyz,, , then we also have a lattice point at xuyvzw,, . Suppose two lattice points exist at xyz111,, and xyz222,, . If xyz,, is a lattice point, then xyz,, x212121 x , y y , z z is also a lattice point. But this does not imply that for all xyz,, representing lattice points, the values of xyz,, are integers. In particular, it is often useful to represent some of them by half integers. A primitive cell has lattice points at 0,0,0 . Centered cells have additional lattice points. 11 An A-centered cell also has points at 0,22 , . (Center of the A face.) 11 A B-centered cell also has points at 22,0, . (Center of the B face.) 11 A C-centered cell also has points at 22,,0. (Center of the C face.) 11 11 11 An F (face)-centered cell also has points at 0,22 , , 22,0, , 22,,0. (Centers of all three faces.) 111 An I (body)-centered cell also has points at 222,, . (Center point of the unit cell.) Observations I. Suppose a cell is both A- and B-centered. The lattice points exist at 11 11 P1 : 0,0,0 , P2 : 0,22 , , and P3 : 22,0, and equivalent positions. P1 and P2 form a lattice row. -
Crystallographic Symmetry Operations
CRYSTALLOGRAPHIC SYMMETRY OPERATIONS Mois I. Aroyo Universidad del Pais Vasco, Bilbao, Spain miércoles, 9 de octubre de 13 Bilbao Crystallographic Server http://www.cryst.ehu.es C´esar Capillas, UPV/EHU 1 SYMMETRY OPERATIONS AND THEIR MATRIX-COLUMN PRESENTATION miércoles, 9 de octubre de 13 Mappings and symmetry operations Definition: A mapping of a set A into a set B is a relation such that for each element a ∈ A there is a unique element b ∈ B which is assigned to a. The element b is called the image of a. ! ! The relation of the point X to the points X 1 and X 2 is not a mapping because the image point is not uniquely defined (there are two image points). The five regions of the set A (the triangle) are mapped onto the five separated regions of the set B. No point of A is mapped onto more than one image point. Region 2 is mapped on a line, the points of the line are the images of more than one point of A. Such a mapping is called a projection. miércoles, 9 de octubre de 13 Mappings and symmetry operations Definition: A mapping of a set A into a set B is a relation such that for each element a ∈ A there is a unique element b ∈ B which is assigned to a. The element b is called the image of a. An isometry leaves all distances and angles invariant. An ‘isometry of the first kind’, preserving the counter–clockwise sequence of the edges ‘short–middle–long’ of the triangle is displayed in the upper mapping. -
Crystallography: Symmetry Groups and Group Representations B
EPJ Web of Conferences 22, 00006 (2012) DOI: 10.1051/epjconf/20122200006 C Owned by the authors, published by EDP Sciences, 2012 Crystallography: Symmetry groups and group representations B. Grenier1 and R. Ballou2 1SPSMS, UMR-E 9001, CEA-INAC / UJF-Grenoble, MDN, 38054 Grenoble, France 2Institut Néel, CNRS / UJF, 25 rue des Martyrs, BP. 166, 38042 Grenoble Cedex 9, France Abstract. This lecture is aimed at giving a sufficient background on crystallography, as a reminder to ease the reading of the forthcoming chapters. It more precisely recalls the crystallographic restrictions on the space isometries, enumerates the point groups and the crystal lattices consistent with these, examines the structure of the space group, which gathers all the spatial invariances of a crystal, and describes a few dual notions. It next attempts to familiarize us with the representation analysis of physical states and excitations of crystals. 1. INTRODUCTION Crystallography covers a wide spectrum of investigations: i- it aspires to get an insight into crystallization phenomena and develops methods of crystal growths, which generally pertains to the physics of non linear irreversible processes; ii- it geometrically describes the natural shapes and the internal structures of the crystals, which is carried out most conveniently by borrowing mathematical tools from group theory; iii- it investigates the crystallized matter at the atomic scale by means of diffraction techniques using X-rays, electrons or neutrons, which are interpreted in the dual context of the reciprocal space and transposition therein of the crystal symmetries; iv- it analyzes the imperfections of the crystals, often directly visualized in scanning electron, tunneling or force microscopies, which in some instances find a meaning by handling unfamiliar concepts from homotopy theory; v- it aims at providing means for discerning the influences of the crystal structure on the physical properties of the materials, which requires to make use of mathematical methods from representation theory. -
Chapter 1 Rigid Body Kinematics
Chapter 1 Rigid Body Kinematics 1.1 Introduction This chapter builds up the basic language and tools to describe the motion of a rigid body – this is called rigid body kinematics. This material will be the foundation for describing general mech- anisms consisting of interconnected rigid bodies in various topologies that are the focus of this book. Only the geometric property of the body and its evolution in time will be studied; the re- sponse of the body to externally applied forces is covered in Chapter ?? under the topic of rigid body dynamics. Rigid body kinematics is not only useful in the analysis of robotic mechanisms, but also has many other applications, such as in the analysis of planetary motion, ground, air, and water vehicles, limbs and bodies of humans and animals, and computer graphics and virtual reality. Indeed, in 1765, motivated by the precession of the equinoxes, Leonhard Euler decomposed a rigid body motion to a translation and rotation, parameterized rotation by three principal-axis rotation (Euler angles), and proved the famous Euler’s rotation theorem [?]. A body is rigid if the distance between any two points fixed with respect to the body remains constant. If the body is free to move and rotate in space, it has 6 degree-of-freedom (DOF), 3 trans- lational and 3 rotational, if we consider both translation and rotation. If the body is constrained in a plane, then it is 3-DOF, 2 translational and 1 rotational. We will adopt a coordinate-free ap- proach as in [?, ?] and use geometric, rather than purely algebraic, arguments as much as possible. -
Script Unit 4.4 (Screw Axes in Crystal Structures).Docx
Script Unit 4.4 Welcome back! Slide 2 In the last unit, we introduced helical or screw symmetry in general; now, we want to investigate, what different kinds of screw axes, that is, what kind of different helical symmetries are present in crystal structures. Slide 3 Let’s look at a first example - here you see a unit cell of a crystal in two different views, a crystal, which should belong to the hexagonal crystal system; the right view is a projection along the c- direction. We see, that this crystal is composed of atoms, that build these helices running along all corners of the unit cell; if we look from above onto this plane, then these screws look like flat hexagons. Because this is a crystal we have translational symmetry, these helices are repeated again and again as a whole, here along the a- and b-direction. But there is - likewise as in glide planes - another symmetry element present, which has a translational component being smaller than a whole unit cell - and this is a screw axis. Slide 4 Along this axis the atoms are symmetry related to each other by applying a screw rotation: if we rotate first this atom by 60 degrees and then translate it parallel to the screw axis by one-sixth of the unit cell, then it will be mapped onto this atom. This can be done with all other atoms as well with this one, that one and so forth… This is an example of a six-fold screw axis, meaning the rotational part is 60 degrees - analogous to pure rotations. -
A Computational Analysis of Line-Oriented Screw Transformations in Robotics
University of Pennsylvania ScholarlyCommons Technical Reports (CIS) Department of Computer & Information Science October 1988 A Computational Analysis of Line-Oriented Screw Transformations in Robotics Janez Funda University of Pennsylvania Follow this and additional works at: https://repository.upenn.edu/cis_reports Recommended Citation Janez Funda, "A Computational Analysis of Line-Oriented Screw Transformations in Robotics", . October 1988. University of Pennsylvania Department of Computer and Information Science Technical Report No. MS-CIS-88-83. This paper is posted at ScholarlyCommons. https://repository.upenn.edu/cis_reports/665 For more information, please contact [email protected]. A Computational Analysis of Line-Oriented Screw Transformations in Robotics Abstract This paper contains a computational analysis and comparison of various representations of a general rigid body spatial screw displacement. Point transformations and line transformations are treated separately. In the context of point transformations, only a brief summary of the known techniques (i.e., homogeneous transforms and quaternion/vector pairs) and their computational behavior is given. Among line transformations, which comprise the primary focus of this paper, four mathematical formalisms for effecting a general spatial screw displacement are presented and analyzed in terms of computational efficiency in performing (a) general screw displacements of lines, and (b) compositions of screw displacement operators. Both sequential and parallel algorithms are given for each operation. The four formalisms considered are: (1) dual orthogonal 3 x 3 matrix, (2) dual unit quaternion, (3) dual special unitary 2 x 2 matrix, and (4) dual Pauli spin matrices. The conclusion reached is that quaternion/vector pairs are the most economical of the point transformation operators, whereas dual unit quaternions represent the most compact and most efficient line ansformationtr formalism. -
Symmetry in 2D
Symmetry in 2D 4/24/2013 L. Viciu| AC II | Symmetry in 2D 1 Outlook • Symmetry: definitions, unit cell choice • Symmetry operations in 2D • Symmetry combinations • Plane Point groups • Plane (space) groups • Finding the plane group: examples 4/24/2013 L. Viciu| AC II | Symmetry in 2D 2 Symmetry Symmetry is the preservation of form and configuration across a point, a line, or a plane. The techniques that are used to "take a shape and match it exactly to another” are called transformations Inorganic crystals usually have the shape which reflects their internal symmetry 4/24/2013 L. Viciu| AC II | Symmetry in 2D 3 Lattice = an array of points repeating periodically in space (2D or 3D). Motif/Basis = the repeating unit of a pattern (ex. an atom, a group of atoms, a molecule etc.) Unit cell = The smallest repetitive volume of the crystal, which when stacked together with replication reproduces the whole crystal 4/24/2013 L. Viciu| AC II | Symmetry in 2D 4 Unit cell convention By convention the unit cell is chosen so that it is as small as possible while reflecting the full symmetry of the lattice (b) to (e) correct unit cell: choice of origin is arbitrary but the cells should be identical; (f) incorrect unit cell: not permissible to isolate unit cells from each other (1 and 2 are not identical)4/24/2013 L. Viciu| AC II | Symmetry in 2D 5 A. West: Solid state chemistry and its applications Some Definitions • Symmetry element: An imaginary geometric entity (line, point, plane) about which a symmetry operation takes place • Symmetry Operation: a permutation of atoms such that an object (molecule or crystal) is transformed into a state indistinguishable from the starting state • Invariant point: point that maps onto itself • Asymmetric unit: The minimum unit from which the structure can be generated by symmetry operations 4/24/2013 L. -
Download English-US Transcript (PDF)
MITOCW | ocw-3.60-27sep2005-part2-220k_512kb.mp4 PROFESSOR: Examine every possible means for combining the symmetry at once, but there is a seemingly paradoxical trick that we can yet pull. And let me indicate what is true here for 2mm. OK, so this is a twofold axis. Has mirror planes perpendicular to it. If one of these is a mirror plane, the other one has to be a mirror plane as well. So there's no way we could make one a mirror plane and one a glide plane. OK, that requires a net that is exactly rectangular. So let's put in the twofold axis. And I add one to the corner of the cell. As we well know we have to have twofold axes at all of these other locations. We want to put a mirror plane in the cell. We could pass it through the twofold axis, and that would be the same as P getting to P2mn back again. But why do we have to put the mirror plane through the twofold axis? We have to have the twofold axis left unchanged when we add the mirror plane, because if we created a new twofold axis we create a new lattice and we'd wreck the lattice that we've constructed. But why, why, oh why couldn't we put the mirror plane in like this? That's going to leave the twofold axis alone. It's going to leave the translations invariant. Why don't we do that? Why not? So here, trick number five, or wherever we are now.