Reconfigurations of Polygonal Structures
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Ununfoldable Polyhedra with Convex Faces
Ununfoldable Polyhedra with Convex Faces Marshall Bern¤ Erik D. Demainey David Eppsteinz Eric Kuox Andrea Mantler{ Jack Snoeyink{ k Abstract Unfolding a convex polyhedron into a simple planar polygon is a well-studied prob- lem. In this paper, we study the limits of unfoldability by studying nonconvex poly- hedra with the same combinatorial structure as convex polyhedra. In particular, we give two examples of polyhedra, one with 24 convex faces and one with 36 triangular faces, that cannot be unfolded by cutting along edges. We further show that such a polyhedron can indeed be unfolded if cuts are allowed to cross faces. Finally, we prove that \open" polyhedra with triangular faces may not be unfoldable no matter how they are cut. 1 Introduction A classic open question in geometry [5, 12, 20, 24] is whether every convex polyhedron can be cut along its edges and flattened into the plane without any overlap. Such a collection of cuts is called an edge cutting of the polyhedron, and the resulting simple polygon is called an edge unfolding or net. While the ¯rst explicit description of this problem is by Shephard in 1975 [24], it has been implicit since at least the time of Albrecht Durer,Ä circa 1500 [11]. It is widely conjectured that every convex polyhedron has an edge unfolding. Some recent support for this conjecture is that every triangulated convex polyhedron has a vertex unfolding, in which the cuts are along edges but the unfolding only needs to be connected at vertices [10]. On the other hand, experimental results suggest that a random edge cutting of ¤Xerox Palo Alto Research Center, 3333 Coyote Hill Rd., Palo Alto, CA 94304, USA, email: [email protected]. -
Engineering Drawing (NSQF) - 1St Year Common for All Engineering Trades Under CTS (Not Applicable for Draughtsman Trade Group)
ENGINEERING DRAWING (NSQF) 1st Year Common for All Engineering Trades under CTS (Not applicable for Draughtsman Trade Group) (For all 1 Year & 2 Year Trades) DIRECTORATE GENERAL OF TRAINING MINISTRY OF SKILL DEVELOPMENT & ENTREPRENEURSHIP GOVERNMENT OF INDIA NATIONAL INSTRUCTIONAL MEDIA INSTITUTE, CHENNAI Post Box No. 3142, CTI Campus, Guindy, Chennai - 600 032 (i) Copyright Free. Under CC BY License. Engineering Drawing (NSQF) - 1st Year Common for all Engineering Trades under CTS (Not applicable for Draughtsman Trade Group) Developed & Published by National Instructional Media Institute Post Box No.3142 Guindy, Chennai - 32 INDIA Email: [email protected] Website: www.nimi.gov.in Printed by National Instructional Media Institute Chennai - 600 032 First Edition :November 2019 Rs.170/- © (ii) Copyright Free. Under CC BY License. FOREWORD The Government of India has set an ambitious target of imparting skills to 30 crores people, one out of every four Indians, by 2020 to help them secure jobs as part of the National Skills Development Policy. Industrial Training Institutes (ITIs) play a vital role in this process especially in terms of providing skilled manpower. Keeping this in mind, and for providing the current industry relevant skill training to Trainees, ITI syllabus has been recently updated with the help of comprising various stakeholder's viz. Industries, Entrepreneurs, Academicians and representatives from ITIs. The National Instructional Media Institute (NIMI), Chennai, has now come up with instructional material to suit the revised curriculum for Engineering Drawing 1st Year (For All 1 year & 2 year Trades) NSQF Commom for all engineering trades under CTS will help the trainees to get an international equivalency standard where their skill proficiency and competency will be duly recognized across the globe and this will also increase the scope of recognition of prior learning. -
What Lies Between Rigidity and Flexibility of Structures
S A J _ 2011 _ 3 _ original scientific article approval date 03 05 2011 UDK BROJEVI: 514.113.5 ; 614.073.5.042 ID BROJ: 184974860 WHAT LIES BETWEEN RIGIDITY AND FLEXIBILITY OF STRUCTURES A B S T R A C T The borderline between continuous flexibility and rigidity of structures like polyhedra or frameworks is not strict. There can be different levels of infinitesimal flexibility. This article presents the mathematical background and some examples of structures which under particular conditions are flexible or almost flexible and otherwise rigid. Hellmuth Stachel 102 KEY WORDS Vienna University of Technology - Institute of Discrete Mathematics and Geometry RIGIDITY FLEXIBILITY INFINITESIMAL FLEXIBILITY FLEXIBLE POLYHEDRA SNAPPING POLYHEDRA KOKOTSAKIS MESHES ORIGAMI MECHANISMS S A J _ 2011 _ 3 _ INTRODUCTION A framework or a polyhedron will be called “rigid” when the edge lengths determine its planar or spatial shape uniquely; under the term “shape” we mean its spatial form – apart from movements in space. More generally and under inclusion of smooth or piecewise linear surfaces, a structure is called rigid when its intrinsic metric defines its spatial shape uniquely. In this sense, the intrinsic metric of a polyhedron is defined by its net (unfolding), i.e., the coplanar set of faces with identified pairs of edges originating from the same edge of the spatial form. After cutting out this net from paper or cardboard, a paper- or cardboard-model of this polyhedron can be built in the usual way. Does such a net really define the shape of a polyhedron uniquely? Think of a cube where one face is replaced by a four-sided pyramid with a small height. -
Tessellation Techniques
Tessellation Techniques Stefanie Mandelbaum Jacqueline S. Guttman 118 Tunicflower Lane West Windsor, NJ 08550, USA E-mail [email protected] Abstract Tessellations are continuous repetitions of the same geometric or organic shape, a tile or tessera in Latin . Inspired by the abstract tessellations of the Alhambra, aided by a correspondence with Coxeter, Escher developed a method of transforming polygonal tessellations into representational tessellations of organic shapes. Mathematical Presentation Tessellations of polygons can be edge-to-edge and vertex-to-vertex (Fig. 1) or translated to be edge-to- edge but not vertex-to-vertex (Fig. 2). Figure 1: Quadrilaterals, edge-to-edge and vertex-to-vertex Figure 2: Quadrilaterals, translated Escher first determined which polygons could tessellate by themselves, e.g. triangles, quadrilaterals, regular hexagons (Figs. 3 and 4 ), and which could not, e.g. regular octagons and regular pentagons (Fig. 5). (A polygon is regular if all of its sides and interior angles are congruent.) Figure 3: Quadrilaterals Figure 4: Triangles Figure 5: Regular Pentagons At the vertex of a tessellation, the sum of the angles of the adjacent polygons is 360 degrees. So, for example, a regular hexagon can tessellate by itself because at the vertex of the tessellation the sum of the angles is 360 degrees, each of the three adjoining angles being 120 degrees (Fig. 6). Conversely, regular octagons cannot tessellate by themselves because each angle of a regular octagon is 135 degrees and 135 is not a factor of 360 (Fig. 7). 2(135)=270. 360-270=90. Therefore, the other polygon needed to complete the tessellation is a square. -
SOFTIMAGE|XSI Application Uses Jscript and Visual Basic Scripting Edition from Microsoft Corporation
SOFTIMAGE®|XSI® Version 4.0 Modeling & Deformations © 1999–2004 Avid Technology, Inc. All rights reserved. Avid, meta–clay, SOFTIMAGE, XSI, and the XSI logo are either registered trademarks or trademarks of Avid Technology, Inc. in the United States and/ or other countries. mental ray and mental images are registered trademarks of mental images GmbH & Co. KG in the U.S.A. and some other countries. mental ray Phenomenon, mental ray Phenomena, Phenomenon, Phenomena, Software Protection Manager, and SPM are trademarks or, in some countries, registered trademarks of mental images GmbH & Co. KG. All other trademarks contained herein are the property of their respective owners. This software includes the Python Release 2.3.2 software. The Python software is: Copyright © 2001, 2002, 2003 Python Software Foundation. All rights reserved. Copyright © 2000 BeOpen.com. All rights reserved. Copyright © 1995-2000 Corporation for National Research Initiatives. All rights reserved. Copyright © 1991-1995 Stichting Mathematisch Centrum. All rights reserved. The SOFTIMAGE|XSI application uses JScript and Visual Basic Scripting Edition from Microsoft Corporation. Activision is a registered trademark of Activision, Inc. © 1998 Activision, Inc. Battlezone is a trademark of and © 1998 Atari Interactive, Inc., a Hasbro company. All rights reserved. Licensed by Activision. This document is protected under copyright law. The contents of this document may not be copied or duplicated in any form, in whole or in part, without the express written permission of Avid Technology, Inc. This document is supplied as a guide for the Softimage product. Reasonable care has been taken in preparing the information it contains. However, this document may contain omissions, technical inaccuracies, or typographical errors. -
A Survey of Folding and Unfolding in Computational Geometry
Combinatorial and Computational Geometry MSRI Publications Volume 52, 2005 A Survey of Folding and Unfolding in Computational Geometry ERIK D. DEMAINE AND JOSEPH O’ROURKE Abstract. We survey results in a recent branch of computational geome- try: folding and unfolding of linkages, paper, and polyhedra. Contents 1. Introduction 168 2. Linkages 168 2.1. Definitions and fundamental questions 168 2.2. Fundamental questions in 2D 171 2.3. Fundamental questions in 3D 175 2.4. Fundamental questions in 4D and higher dimensions 181 2.5. Protein folding 181 3. Paper 183 3.1. Categorization 184 3.2. Origami design 185 3.3. Origami foldability 189 3.4. Flattening polyhedra 191 4. Polyhedra 193 4.1. Unfolding polyhedra 193 4.2. Folding polygons into convex polyhedra 196 4.3. Folding nets into nonconvex polyhedra 199 4.4. Continuously folding polyhedra 200 5. Conclusion and Higher Dimensions 201 Acknowledgements 202 References 202 Demaine was supported by NSF CAREER award CCF-0347776. O’Rourke was supported by NSF Distinguished Teaching Scholars award DUE-0123154. 167 168 ERIKD.DEMAINEANDJOSEPHO’ROURKE 1. Introduction Folding and unfolding problems have been implicit since Albrecht D¨urer [1525], but have not been studied extensively in the mathematical literature until re- cently. Over the past few years, there has been a surge of interest in these problems in discrete and computational geometry. This paper gives a brief sur- vey of most of the work in this area. Related, shorter surveys are [Connelly and Demaine 2004; Demaine 2001; Demaine and Demaine 2002; O’Rourke 2000]. We are currently preparing a monograph on the topic [Demaine and O’Rourke ≥ 2005]. -
Fundamental Theorems in Mathematics
SOME FUNDAMENTAL THEOREMS IN MATHEMATICS OLIVER KNILL Abstract. An expository hitchhikers guide to some theorems in mathematics. Criteria for the current list of 243 theorems are whether the result can be formulated elegantly, whether it is beautiful or useful and whether it could serve as a guide [6] without leading to panic. The order is not a ranking but ordered along a time-line when things were writ- ten down. Since [556] stated “a mathematical theorem only becomes beautiful if presented as a crown jewel within a context" we try sometimes to give some context. Of course, any such list of theorems is a matter of personal preferences, taste and limitations. The num- ber of theorems is arbitrary, the initial obvious goal was 42 but that number got eventually surpassed as it is hard to stop, once started. As a compensation, there are 42 “tweetable" theorems with included proofs. More comments on the choice of the theorems is included in an epilogue. For literature on general mathematics, see [193, 189, 29, 235, 254, 619, 412, 138], for history [217, 625, 376, 73, 46, 208, 379, 365, 690, 113, 618, 79, 259, 341], for popular, beautiful or elegant things [12, 529, 201, 182, 17, 672, 673, 44, 204, 190, 245, 446, 616, 303, 201, 2, 127, 146, 128, 502, 261, 172]. For comprehensive overviews in large parts of math- ematics, [74, 165, 166, 51, 593] or predictions on developments [47]. For reflections about mathematics in general [145, 455, 45, 306, 439, 99, 561]. Encyclopedic source examples are [188, 705, 670, 102, 192, 152, 221, 191, 111, 635]. -
GEOMETRIC FOLDING ALGORITHMS I
P1: FYX/FYX P2: FYX 0521857570pre CUNY758/Demaine 0 521 81095 7 February 25, 2007 7:5 GEOMETRIC FOLDING ALGORITHMS Folding and unfolding problems have been implicit since Albrecht Dürer in the early 1500s but have only recently been studied in the mathemat- ical literature. Over the past decade, there has been a surge of interest in these problems, with applications ranging from robotics to protein folding. With an emphasis on algorithmic or computational aspects, this comprehensive treatment of the geometry of folding and unfolding presents hundreds of results and more than 60 unsolved “open prob- lems” to spur further research. The authors cover one-dimensional (1D) objects (linkages), 2D objects (paper), and 3D objects (polyhedra). Among the results in Part I is that there is a planar linkage that can trace out any algebraic curve, even “sign your name.” Part II features the “fold-and-cut” algorithm, establishing that any straight-line drawing on paper can be folded so that the com- plete drawing can be cut out with one straight scissors cut. In Part III, readers will see that the “Latin cross” unfolding of a cube can be refolded to 23 different convex polyhedra. Aimed primarily at advanced undergraduate and graduate students in mathematics or computer science, this lavishly illustrated book will fascinate a broad audience, from high school students to researchers. Erik D. Demaine is the Esther and Harold E. Edgerton Professor of Elec- trical Engineering and Computer Science at the Massachusetts Institute of Technology, where he joined the faculty in 2001. He is the recipient of several awards, including a MacArthur Fellowship, a Sloan Fellowship, the Harold E. -
Folding & Unfolding: Folding Polygons to Convex Polyhedra
FoldingFolding && Unfolding:Unfolding: FoldingFolding PolygonsPolygons toto ConvexConvex PolyhedraPolyhedra JosephJoseph O’RourkeO’Rourke SmithSmith CollegeCollege FoldingFolding andand UnfoldingUnfolding TalksTalks Linkage folding Tuesday Erik Demaine Paper folding Wednesday Erik Demaine Folding polygons into Saturday Joe O’Rourke convex 1 polyhedra Unfolding Saturday Joe O’Rourke polyhedra 2 OutlineOutline Reconstruction of Convex Polyhedra Cauchy to Sabitov (to an Open Problem) Folding Polygons Algorithms Examples Questions OutlineOutline11 Reconstruction of Convex Polyhedra Cauchy to Sabitov (to an Open Problem) Cauchy’s Rigidity Theorem Aleksandrov’s Theorem Sabitov’s Algorithm OutlineOutline22 Folding Polygons Algorithms Edge-to-Edge Foldings Gluing Trees; exponential lower bound Gluing Algorithm Examples Foldings of the Latin Cross Foldings of the Square Questions Transforming shapes? ReconstructionReconstruction ofof ConvexConvex PolyhedraPolyhedra graph Steinitz’s Theorem face angles edge lengths face areas Minkowski’s Theorem face normals dihedral angles inscribed/circumscribed Minkowski’sMinkowski’s TheoremTheorem (a) (b) ReconstructionReconstruction ofof ConvexConvex PolyhedraPolyhedra graph face angles Cauchy’s Theorem edge lengths face areas face normals dihedral angles inscribed/circumscribed Cauchy’sCauchy’s RigidityRigidity TheoremTheorem If two closed, convex polyhedra are combinatorially equivalent, with corresponding faces congruent, then the polyhedra are congruent; in particular, -
© Cambridge University Press Cambridge
Cambridge University Press 978-0-521-85757-4 - Geometric Folding Algorithms: Linkages, Origami, Polyhedra Erik D. Demaine and Joseph O’Rourke Index More information Index 1-skeleton, 311, 339 bar, 9 3-Satisfiability, 217, 221 base, see origami, base, 2 α-cone canonical configuration, 151, 152 Bauhaus, 294 α-producible chain, 150, 151 Bellows theorem, 279, 348 δ-perturbation, 115 bending λ order function, 176, 177, 186 machine, xi, 13, 306 antisymmetry condition, 177, 186 pipe, 13, 14 consistency condition, 178, 186 sheet metal, 306 noncrossing condition, 179, 186 beta sheet, 158 time continuity, 174, 183, 187 Bezdek, Daniel, 331 transitivity condition, 178, 186 blooming, continuous, 333, 435 bond angle, 14, 131, 148, 151 Abe’s angle trisection, 286, 287 bond length, 148 accordion, 85, 193, 200, 261 active path, 244, 245, 247–249 cable, 53–55 acyclicity, 108 CAD, see cylindrical algebraic decomposition, 19 additor (Kempe), 32, 34, 35 cage, 21, 92, 93 Alexandrov, Aleksandr D., 348 canonical form, 74, 86, 87, 141, 151 Alexandrov’s theorem, 339, 348, 349, 352, 354, Cauchy’s arm lemma, 72, 133, 143, 145, 342, 343, 368, 381, 393, 419 377 existence, 351 Cauchy’s rigidity theorem, 43, 143, 213, 279, 339, uniqueness, 350 341, 342, 345, 348–350, 354, 403 algebraic motion, 107, 111 Cauchy—Steinitz lemma, 72, 342 algebraic set, 39, 44 chain algebraic variety, 27 4D, 92, 93, 437 alpha helix, 151, 157, 158 abstract, 65, 149, 153, 158 Amato, Nancy, 157 convex, 143, 145 amino acid, 158 cutting, xi, 91, 123 amino acid residue, 14, 148, 151 equilateral, see -
Marvelous Modular Origami
www.ATIBOOK.ir Marvelous Modular Origami www.ATIBOOK.ir Mukerji_book.indd 1 8/13/2010 4:44:46 PM Jasmine Dodecahedron 1 (top) and 3 (bottom). (See pages 50 and 54.) www.ATIBOOK.ir Mukerji_book.indd 2 8/13/2010 4:44:49 PM Marvelous Modular Origami Meenakshi Mukerji A K Peters, Ltd. Natick, Massachusetts www.ATIBOOK.ir Mukerji_book.indd 3 8/13/2010 4:44:49 PM Editorial, Sales, and Customer Service Office A K Peters, Ltd. 5 Commonwealth Road, Suite 2C Natick, MA 01760 www.akpeters.com Copyright © 2007 by A K Peters, Ltd. All rights reserved. No part of the material protected by this copyright notice may be reproduced or utilized in any form, electronic or mechanical, including photo- copying, recording, or by any information storage and retrieval system, without written permission from the copyright owner. Library of Congress Cataloging-in-Publication Data Mukerji, Meenakshi, 1962– Marvelous modular origami / Meenakshi Mukerji. p. cm. Includes bibliographical references. ISBN 978-1-56881-316-5 (alk. paper) 1. Origami. I. Title. TT870.M82 2007 736΄.982--dc22 2006052457 ISBN-10 1-56881-316-3 Cover Photographs Front cover: Poinsettia Floral Ball. Back cover: Poinsettia Floral Ball (top) and Cosmos Ball Variation (bottom). Printed in India 14 13 12 11 10 10 9 8 7 6 5 4 3 2 www.ATIBOOK.ir Mukerji_book.indd 4 8/13/2010 4:44:50 PM To all who inspired me and to my parents www.ATIBOOK.ir Mukerji_book.indd 5 8/13/2010 4:44:50 PM www.ATIBOOK.ir Contents Preface ix Acknowledgments x Photo Credits x Platonic & Archimedean Solids xi Origami Basics xii -
Algebraic Methods for Solution of Polyhedra
Russian Math. Surveys 66:3 445{505 ⃝c 2011 RAS(DoM) and LMS Uspekhi Mat. Nauk 66:3 3{66 DOI 10.1070/RM2011v066n03ABEH004748 Algebraic methods for solution of polyhedra I. Kh. Sabitov Abstract. By analogy with the solution of triangles, the solution of poly- hedra means a theory and methods for calculating some geometric param- eters of polyhedra in terms of other parameters of them. The main content of this paper is a survey of results on calculating the volumes of polyhedra in terms of their metrics and combinatorial structures. It turns out that a far-reaching generalization of Heron's formula for the area of a trian- gle to the volumes of polyhedra is possible, and it underlies the proof of the conjecture that the volume of a deformed flexible polyhedron remains constant. Bibliography: 110 titles. Keywords: polyhedra, combinatorial structure, metric, volume, bending, bellows conjecture, volume polynomials, generalization of Heron's formula. Contents 1. Some history 446 2. Polyhedra in R3 and their generalized volume 448 3. Motivations for choosing the path to the solution of the problem 449 4. The central theorem and its consequences 452 5. The algebraic meaning of the central theorem 453 6. Main lemma 453 7. The Cayley{Menger determinant 454 8. The idea of the proof of the main lemma 455 9. Proof of the central Theorem1 458 10. Another proof of the central Theorem1 459 11. Several conclusions 463 12. Canonical volume polynomials 464 13. Calculating the volume polynomial for some polyhedra 467 14. Calculating the lengths of diagonals of polyhedra 472 15.