550 research outputs found

    Virtual polytopes

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    Originating in diverse branches of mathematics, from polytope algebra and toric varieties to the theory of stressed graphs, virtual polytopes represent a natural algebraic generalization of convex polytopes. Introduced as the Grothendick group associated to the semigroup of convex polytopes, they admit a variety of geometrizations. A selection of applications demonstrates their versatility

    Virtual Polytopes

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    Originating in diverse branches of mathematics, from polytope algebra and toric varieties to the theory of stressed graphs, virtual polytopes represent a natural algebraic generalization of convex polytopes. Introduced as elements of the Grothendieck group associated to the semigroup of convex polytopes, they admit a variety of geometrizations. The present survey connects the theory of virtual polytopes with other geometrical subjects, describes a series of geometrizations together with relations between them, and gives a selection of applications

    The topology of fullerenes

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    Fullerenes are carbon molecules that form polyhedral cages. Their bond structures are exactly the planar cubic graphs that have only pentagon and hexagon faces. Strikingly, a number of chemical properties of a fullerene can be derived from its graph structure. A rich mathematics of cubic planar graphs and fullerene graphs has grown since they were studied by Goldberg, Coxeter, and others in the early 20th century, and many mathematical properties of fullerenes have found simple and beautiful solutions. Yet many interesting chemical and mathematical problems in the field remain open. In this paper, we present a general overview of recent topological and graph theoretical developments in fullerene research over the past two decades, describing both solved and open problems. WIREs Comput Mol Sci 2015, 5:96โ€“145. doi: 10.1002/wcms.1207 Conflict of interest: The authors have declared no conflicts of interest for this article. For further resources related to this article, please visit the WIREs website

    On the Conley-Zehnder index and Sasaki-Einstein manifolds

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    ํ•™์œ„๋…ผ๋ฌธ (๋ฐ•์‚ฌ)-- ์„œ์šธ๋Œ€ํ•™๊ต ๋Œ€ํ•™์› : ์ž์—ฐ๊ณผํ•™๋Œ€ํ•™ ์ˆ˜๋ฆฌ๊ณผํ•™๋ถ€, 2019. 2. Koert, Otto van .์ œ 2์žฅ์—์„œ๋Š” ์ €์ž๊ฐ€ ์„œ์šธ๋Œ€ํ•™๊ต ์ˆ˜๋ฆฌ๊ณผํ•™๋ถ€์—์„œ ํ•™์œ„๋ฅผ ํ•˜๋Š” ๋™์•ˆ ์ถœํŒํ•œ ๋…ผ๋ฌธ์— ๋Œ€ํ•ด ์†Œ๊ฐœํ•˜์˜€์Šต๋‹ˆ๋‹ค. ๊ตฌ์ฒด์ ์œผ๋กœ Reeb ๋ฒกํ„ฐ์žฅ์„ ์‚ฌ๊ต๊ณต๊ฐ„์ƒ์˜ ๊ฒฝ๋กœ๋กœ ๊ฐ„์ฃผํ•˜๊ณ  ๊ทธ Conley-Zehnder ์ง€ํ‘œ์™€ ๋ชซ๊ณต๊ฐ„์œผ๋กœ์„œ ์ƒ์„ฑ๋œ ๊ธฐ์ € ๊ณต๊ฐ„์˜ orbifold ์ฒœ(Chern) ํŠน์„ฑ๋ฅ˜ ์‚ฌ์ด์˜ ๊ด€๊ณ„๋ฅผ ๊ทœ๋ช…ํ•˜์˜€์Šต๋‹ˆ๋‹ค. ์ด๋ ‡๊ฒŒ ์–ป์–ด์ง„ ๊ด€๊ณ„๋ฅผ ์šฐ๋ฆฌ์—๊ฒŒ ๋งค์šฐ ์ต์ˆ™ํ•œ ๊ธฐ๋ณธ์ ์ธ ์˜ˆ์ œ๋“ค์— ์ ์šฉ์‹œ์ผœ ๊ตฌ์ฒด์ ์ธ ๊ฐ’์„ ๊ตฌํ•˜์˜€์Šต๋‹ˆ๋‹ค. ์ œ 3์žฅ์€ ์ €์ž๊ฐ€ ํ•™์œ„๊ธฐ๊ฐ„ ๋™์•ˆ ์ฃผ๋กœ ์—ฐ๊ตฌํ•œ ๋ถ„์•ผ์ธ ์‚ฌ์‚ฌํ‚ค-์•„์ธ์Šˆํƒ€์ธ ๊ธฐํ•˜(Sasaki-Einstein geometry)์— ๋Œ€ํ•œ ์กฐ์‚ฌ ๋ณด๊ณ ์„œ์ž…๋‹ˆ๋‹ค. ๊ธฐ๋ณธ์ ์ธ ์ •์˜, ์ •๋ฆฌ๋ถ€ํ„ฐ ํฅ๋ฏธ๋กœ์šด ์˜ˆ์ œ, ์กด์žฌ์„ฑ์— ๋Œ€ํ•œ ๊ฑธ๋ฆผ๋Œ ์ด๋ก (obstruction theory)๋“ฑ์— ๋Œ€ํ•ด์„œ ์‚ดํŽด๋ณด์•˜์Šต๋‹ˆ๋‹ค.In the second chapter, we prove a useful relation between the Conley-Zehnder indices of the Reeb vector flow action along periodic orbits in prequantization bundles and the orbifold Chern class of the base symplectic orbifolds motivated by the well-known case of manifolds. We also apply this method to primary examples. In the third chapter, we survey interesting properties on Sasaki-Einstein geometry from the elementary definitions and theorems to well-known examples and simple obstructions.Abstract i 1 Introduction 1 2 The Conley-Zehnder indices of the Reeb flow action along S1-fibers over certain orbifolds 4 2.1 The Conley-Zehnder index . . . . . . . . . . . . . . . . . . . . 4 2.1.1 The Maslov index . . . . . . . . . . . . . . . . . . . . . 5 2.1.2 The Conley-Zehnder index . . . . . . . . . . . . . . . . 6 2.1.3 The Robbin-Salamon index . . . . . . . . . . . . . . . 7 2.2 Orbifolds . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 10 2.2.1 Basic definitions . . . . . . . . . . . . . . . . . . . . . . 10 2.2.2 Classifying spaces . . . . . . . . . . . . . . . . . . . . . 12 2.3 The main theorem . . . . . . . . . . . . . . . . . . . . . . . . 15 2.3.1 The Boothby-Wang fibration . . . . . . . . . . . . . . . 15 2.3.2 The main theorem . . . . . . . . . . . . . . . . . . . . 16 2.3.3 The weighted projective spaces and their complete intersections . . . . . . . . . . . . . . . . . . . . . . . . . 20 2.3.4 Some computations for non-principal orbits . . . . . . 30 2.3.5 Inertia orbifolds . . . . . . . . . . . . . . . . . . . . . . 32 3 A survey on Sasaki-Einstein manifolds 35 3.1 Sasakian structures and Einstein metrics . . . . . . . . . . . . 35 3.1.1 Symplectic manifolds and contact structures . . . . . . 35 3.1.2 Almost contact structures and Sasakian structures . . . 40 3.1.3 General relativity, Einstein manifolds . . . . . . . . . . 45 3.2 Kahler-Einstein metrics . . . . . . . . . . . . . . . . . . . . . . 51 3.2.1 Einstein conditions in Kahler metrics . . . . . . . . . . 51 3.2.2 Calabi conjecture and Calabi-Yau manifolds . . . . . . 54 3.2.3 Kahler-Einstein metrics on del Pezzo surfaces . . . . . 57 3.3 Sasaki-Einstein manifolds . . . . . . . . . . . . . . . . . . . . 62 3.3.1 Basic properties . . . . . . . . . . . . . . . . . . . . . . 62 3.3.2 Toric Sasaki-Einstein manifolds . . . . . . . . . . . . . 66 3.3.3 Sasaki-Einstein metrics on Y pq . . . . . . . . . . . . . 75 3.3.4 Simple obstructions . . . . . . . . . . . . . . . . . . . . 80 Abstract (in Korean) 88Docto

    Evaluation of automated decisionmaking methodologies and development of an integrated robotic system simulation

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    A generic computer simulation for manipulator systems (ROBSIM) was implemented and the specific technologies necessary to increase the role of automation in various missions were developed. The specific items developed are: (1) capability for definition of a manipulator system consisting of multiple arms, load objects, and an environment; (2) capability for kinematic analysis, requirements analysis, and response simulation of manipulator motion; (3) postprocessing options such as graphic replay of simulated motion and manipulator parameter plotting; (4) investigation and simulation of various control methods including manual force/torque and active compliances control; (5) evaluation and implementation of three obstacle avoidance methods; (6) video simulation and edge detection; and (7) software simulation validation

    ISIPTA'07: Proceedings of the Fifth International Symposium on Imprecise Probability: Theories and Applications

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    Packing and covering in combinatorics

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