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Engineering Curves – I
Engineering Curves – I 1. Classification 2. Conic sections - explanation 3. Common Definition 4. Ellipse – ( six methods of construction) 5. Parabola – ( Three methods of construction) 6. Hyperbola – ( Three methods of construction ) 7. Methods of drawing Tangents & Normals ( four cases) Engineering Curves – II 1. Classification 2. Definitions 3. Involutes - (five cases) 4. Cycloid 5. Trochoids – (Superior and Inferior) 6. Epic cycloid and Hypo - cycloid 7. Spiral (Two cases) 8. Helix – on cylinder & on cone 9. Methods of drawing Tangents and Normals (Three cases) ENGINEERING CURVES Part- I {Conic Sections} ELLIPSE PARABOLA HYPERBOLA 1.Concentric Circle Method 1.Rectangle Method 1.Rectangular Hyperbola (coordinates given) 2.Rectangle Method 2 Method of Tangents ( Triangle Method) 2 Rectangular Hyperbola 3.Oblong Method (P-V diagram - Equation given) 3.Basic Locus Method 4.Arcs of Circle Method (Directrix – focus) 3.Basic Locus Method (Directrix – focus) 5.Rhombus Metho 6.Basic Locus Method Methods of Drawing (Directrix – focus) Tangents & Normals To These Curves. CONIC SECTIONS ELLIPSE, PARABOLA AND HYPERBOLA ARE CALLED CONIC SECTIONS BECAUSE THESE CURVES APPEAR ON THE SURFACE OF A CONE WHEN IT IS CUT BY SOME TYPICAL CUTTING PLANES. OBSERVE ILLUSTRATIONS GIVEN BELOW.. Ellipse Section Plane Section Plane Hyperbola Through Generators Parallel to Axis. Section Plane Parallel to end generator. COMMON DEFINATION OF ELLIPSE, PARABOLA & HYPERBOLA: These are the loci of points moving in a plane such that the ratio of it’s distances from a fixed point And a fixed line always remains constant. The Ratio is called ECCENTRICITY. (E) A) For Ellipse E<1 B) For Parabola E=1 C) For Hyperbola E>1 Refer Problem nos. -
INTRODUCTION to ALGEBRAIC GEOMETRY, CLASS 25 Contents 1
INTRODUCTION TO ALGEBRAIC GEOMETRY, CLASS 25 RAVI VAKIL Contents 1. The genus of a nonsingular projective curve 1 2. The Riemann-Roch Theorem with Applications but No Proof 2 2.1. A criterion for closed immersions 3 3. Recap of course 6 PS10 back today; PS11 due today. PS12 due Monday December 13. 1. The genus of a nonsingular projective curve The definition I’m going to give you isn’t the one people would typically start with. I prefer to introduce this one here, because it is more easily computable. Definition. The tentative genus of a nonsingular projective curve C is given by 1 − deg ΩC =2g 2. Fact (from Riemann-Roch, later). g is always a nonnegative integer, i.e. deg K = −2, 0, 2,.... Complex picture: Riemann-surface with g “holes”. Examples. Hence P1 has genus 0, smooth plane cubics have genus 1, etc. Exercise: Hyperelliptic curves. Suppose f(x0,x1) is a polynomial of homo- geneous degree n where n is even. Let C0 be the affine plane curve given by 2 y = f(1,x1), with the generically 2-to-1 cover C0 → U0.LetC1be the affine 2 plane curve given by z = f(x0, 1), with the generically 2-to-1 cover C1 → U1. Check that C0 and C1 are nonsingular. Show that you can glue together C0 and C1 (and the double covers) so as to give a double cover C → P1. (For computational convenience, you may assume that neither [0; 1] nor [1; 0] are zeros of f.) What goes wrong if n is odd? Show that the tentative genus of C is n/2 − 1.(Thisisa special case of the Riemann-Hurwitz formula.) This provides examples of curves of any genus. -
Chapter 1 Geometry of Plane Curves
Chapter 1 Geometry of Plane Curves Definition 1 A (parametrized) curve in Rn is a piece-wise differentiable func- tion α :(a, b) Rn. If I is any other subset of R, α : I Rn is a curve provided that α→extends to a piece-wise differentiable function→ on some open interval (a, b) I. The trace of a curve α is the set of points α ((a, b)) Rn. ⊃ ⊂ AsubsetS Rn is parametrized by α if and only if there exists set I R ⊂ ⊆ such that α : I Rn is a curve for which α (I)=S. A one-to-one parame- trization α assigns→ and orientation toacurveC thought of as the direction of increasing parameter, i.e., if s<t,the direction of increasing parameter runs from α (s) to α (t) . AsubsetS Rn may be parametrized in many ways. ⊂ Example 2 Consider the circle C : x2 + y2 =1and let ω>0. The curve 2π α : 0, R2 given by ω → ¡ ¤ α(t)=(cosωt, sin ωt) . is a parametrization of C for each choice of ω R. Recall that the velocity and acceleration are respectively given by ∈ α0 (t)=( ω sin ωt, ω cos ωt) − and α00 (t)= ω2 cos 2πωt, ω2 sin 2πωt = ω2α(t). − − − The speed is given by ¡ ¢ 2 2 v(t)= α0(t) = ( ω sin ωt) +(ω cos ωt) = ω. (1.1) k k − q 1 2 CHAPTER 1. GEOMETRY OF PLANE CURVES The various parametrizations obtained by varying ω change the velocity, ac- 2π celeration and speed but have the same trace, i.e., α 0, ω = C for each ω. -
Algebraic Geometry Michael Stoll
Introductory Geometry Course No. 100 351 Fall 2005 Second Part: Algebraic Geometry Michael Stoll Contents 1. What Is Algebraic Geometry? 2 2. Affine Spaces and Algebraic Sets 3 3. Projective Spaces and Algebraic Sets 6 4. Projective Closure and Affine Patches 9 5. Morphisms and Rational Maps 11 6. Curves — Local Properties 14 7. B´ezout’sTheorem 18 2 1. What Is Algebraic Geometry? Linear Algebra can be seen (in parts at least) as the study of systems of linear equations. In geometric terms, this can be interpreted as the study of linear (or affine) subspaces of Cn (say). Algebraic Geometry generalizes this in a natural way be looking at systems of polynomial equations. Their geometric realizations (their solution sets in Cn, say) are called algebraic varieties. Many questions one can study in various parts of mathematics lead in a natural way to (systems of) polynomial equations, to which the methods of Algebraic Geometry can be applied. Algebraic Geometry provides a translation between algebra (solutions of equations) and geometry (points on algebraic varieties). The methods are mostly algebraic, but the geometry provides the intuition. Compared to Differential Geometry, in Algebraic Geometry we consider a rather restricted class of “manifolds” — those given by polynomial equations (we can allow “singularities”, however). For example, y = cos x defines a perfectly nice differentiable curve in the plane, but not an algebraic curve. In return, we can get stronger results, for example a criterion for the existence of solutions (in the complex numbers), or statements on the number of solutions (for example when intersecting two curves), or classification results. -
Trigonometry Cram Sheet
Trigonometry Cram Sheet August 3, 2016 Contents 6.2 Identities . 8 1 Definition 2 7 Relationships Between Sides and Angles 9 1.1 Extensions to Angles > 90◦ . 2 7.1 Law of Sines . 9 1.2 The Unit Circle . 2 7.2 Law of Cosines . 9 1.3 Degrees and Radians . 2 7.3 Law of Tangents . 9 1.4 Signs and Variations . 2 7.4 Law of Cotangents . 9 7.5 Mollweide’s Formula . 9 2 Properties and General Forms 3 7.6 Stewart’s Theorem . 9 2.1 Properties . 3 7.7 Angles in Terms of Sides . 9 2.1.1 sin x ................... 3 2.1.2 cos x ................... 3 8 Solving Triangles 10 2.1.3 tan x ................... 3 8.1 AAS/ASA Triangle . 10 2.1.4 csc x ................... 3 8.2 SAS Triangle . 10 2.1.5 sec x ................... 3 8.3 SSS Triangle . 10 2.1.6 cot x ................... 3 8.4 SSA Triangle . 11 2.2 General Forms of Trigonometric Functions . 3 8.5 Right Triangle . 11 3 Identities 4 9 Polar Coordinates 11 3.1 Basic Identities . 4 9.1 Properties . 11 3.2 Sum and Difference . 4 9.2 Coordinate Transformation . 11 3.3 Double Angle . 4 3.4 Half Angle . 4 10 Special Polar Graphs 11 3.5 Multiple Angle . 4 10.1 Limaçon of Pascal . 12 3.6 Power Reduction . 5 10.2 Rose . 13 3.7 Product to Sum . 5 10.3 Spiral of Archimedes . 13 3.8 Sum to Product . 5 10.4 Lemniscate of Bernoulli . 13 3.9 Linear Combinations . -
Study of Spiral Transition Curves As Related to the Visual Quality of Highway Alignment
A STUDY OF SPIRAL TRANSITION CURVES AS RELA'^^ED TO THE VISUAL QUALITY OF HIGHWAY ALIGNMENT JERRY SHELDON MURPHY B, S., Kansas State University, 1968 A MJvSTER'S THESIS submitted in partial fulfillment of the requirements for the degree MASTER OF SCIENCE Department of Civil Engineering KANSAS STATE UNIVERSITY Manhattan, Kansas 1969 Approved by P^ajQT Professor TV- / / ^ / TABLE OF CONTENTS <2, 2^ INTRODUCTION 1 LITERATURE SEARCH 3 PURPOSE 5 SCOPE 6 • METHOD OF SOLUTION 7 RESULTS 18 RECOMMENDATIONS FOR FURTHER RESEARCH 27 CONCLUSION 33 REFERENCES 34 APPENDIX 36 LIST OF TABLES TABLE 1, Geonetry of Locations Studied 17 TABLE 2, Rates of Change of Slope Versus Curve Ratings 31 LIST OF FIGURES FIGURE 1. Definition of Sight Distance and Display Angle 8 FIGURE 2. Perspective Coordinate Transformation 9 FIGURE 3. Spiral Curve Calculation Equations 12 FIGURE 4. Flow Chart 14 FIGURE 5, Photograph and Perspective of Selected Location 15 FIGURE 6. Effect of Spiral Curves at Small Display Angles 19 A, No Spiral (Circular Curve) B, Completely Spiralized FIGURE 7. Effects of Spiral Curves (DA = .015 Radians, SD = 1000 Feet, D = l** and A = 10*) 20 Plate 1 A. No Spiral (Circular Curve) B, Spiral Length = 250 Feet FIGURE 8. Effects of Spiral Curves (DA = ,015 Radians, SD = 1000 Feet, D = 1° and A = 10°) 21 Plate 2 A. Spiral Length = 500 Feet B. Spiral Length = 1000 Feet (Conpletely Spiralized) FIGURE 9. Effects of Display Angle (D = 2°, A = 10°, Ig = 500 feet, = SD 500 feet) 23 Plate 1 A. Display Angle = .007 Radian B. Display Angle = .027 Radiaji FIGURE 10. -
The Ordered Distribution of Natural Numbers on the Square Root Spiral
The Ordered Distribution of Natural Numbers on the Square Root Spiral - Harry K. Hahn - Ludwig-Erhard-Str. 10 D-76275 Et Germanytlingen, Germany ------------------------------ mathematical analysis by - Kay Schoenberger - Humboldt-University Berlin ----------------------------- 20. June 2007 Abstract : Natural numbers divisible by the same prime factor lie on defined spiral graphs which are running through the “Square Root Spiral“ ( also named as “Spiral of Theodorus” or “Wurzel Spirale“ or “Einstein Spiral” ). Prime Numbers also clearly accumulate on such spiral graphs. And the square numbers 4, 9, 16, 25, 36 … form a highly three-symmetrical system of three spiral graphs, which divide the square-root-spiral into three equal areas. A mathematical analysis shows that these spiral graphs are defined by quadratic polynomials. The Square Root Spiral is a geometrical structure which is based on the three basic constants: 1, sqrt2 and π (pi) , and the continuous application of the Pythagorean Theorem of the right angled triangle. Fibonacci number sequences also play a part in the structure of the Square Root Spiral. Fibonacci Numbers divide the Square Root Spiral into areas and angle sectors with constant proportions. These proportions are linked to the “golden mean” ( golden section ), which behaves as a self-avoiding-walk- constant in the lattice-like structure of the square root spiral. Contents of the general section Page 1 Introduction to the Square Root Spiral 2 2 Mathematical description of the Square Root Spiral 4 3 The distribution -
(Spiral Curves) When Transition Curves Are Not Provided, Drivers Tend To
The Transition Curves (Spiral Curves) The transition curve (spiral) is a curve that has a varying radius. It is used on railroads and most modem highways. It has the following purposes: 1- Provide a gradual transition from the tangent (r=∞ )to a simple circular curve with radius R 2- Allows for gradual application of superelevation. Advantages of the spiral curves: 1- Provide a natural easy to follow path such that the lateral force increase and decrease gradually as the vehicle enters and leaves the circular curve 2- The length of the transition curve provides a suitable location for the superelevation runoff. 3- The spiral curve facilitate the transition in width where the travelled way is widened on circular curve. 4- The appearance of the highway is enhanced by the application of spiral curves. When transition curves are not provided, drivers tend to create their own transition curves by moving laterally within their travel lane and sometimes the adjoining lane, which is risky not only for them but also for other road users. Minimum length of spiral. Minimum length of spiral is based on consideration of driver comfort and shifts in the lateral position of vehicles. It is recommended that these two criteria be used together to determine the minimum length of spiral. Thus, the minimum spiral length can be computed as: Ls, min should be the larger of: , , . Ls,min = minimum length of spiral, m; Pmin = minimum lateral offset (shift) between the tangent and circular curve (0.20 m); R = radius of circular curve, m; V = design speed, km/h; C = maximum rate of change in lateral acceleration (1.2 m/s3) Maximum length of spiral. -
Tangent Lines
The Kabod Volume 5 Issue 1 Fall 2018 Article 1 September 2018 Tangent Lines Samuel Estep Liberty University, [email protected] Follow this and additional works at: https://digitalcommons.liberty.edu/kabod Part of the Mathematics Commons Recommended Citations MLA: Estep, Samuel "Tangent Lines," The Kabod 5. 1 (2018) Article 1. Liberty University Digital Commons. Web. [xx Month xxxx]. APA: Estep, Samuel (2018) "Tangent Lines" The Kabod 5( 1 (2018)), Article 1. Retrieved from https://digitalcommons.liberty.edu/kabod/vol5/iss1/1 Turabian: Estep, Samuel "Tangent Lines" The Kabod 5 , no. 1 2018 (2018) Accessed [Month x, xxxx]. Liberty University Digital Commons. This Individual Article is brought to you for free and open access by Scholars Crossing. It has been accepted for inclusion in The Kabod by an authorized editor of Scholars Crossing. For more information, please contact [email protected]. Estep: Tangent Lines Tangent Lines Sam Estep 2018-05-06 In [1] Leibniz published the first treatment of the subject of calculus. An English translation can be found in [2]; he says that to find a tangent is to draw a right line, which joins two points of the curve having an infinitely small difference, or the side of an infinite angled polygon produced, which is equivalent to the curve for us. Today, according to [3], a straight line is said to be a tangent line of a curve y = f(x) at a point x = c on the curve if the line passes through the point (c; f(c)) on the curve and has slope f 0(c) where f 0 is the derivative of f. -
Art and Engineering Inspired by Swarm Robotics
RICE UNIVERSITY Art and Engineering Inspired by Swarm Robotics by Yu Zhou A Thesis Submitted in Partial Fulfillment of the Requirements for the Degree Doctor of Philosophy Approved, Thesis Committee: Ronald Goldman, Chair Professor of Computer Science Joe Warren Professor of Computer Science Marcia O'Malley Professor of Mechanical Engineering Houston, Texas April, 2017 ABSTRACT Art and Engineering Inspired by Swarm Robotics by Yu Zhou Swarm robotics has the potential to combine the power of the hive with the sen- sibility of the individual to solve non-traditional problems in mechanical, industrial, and architectural engineering and to develop exquisite art beyond the ken of most contemporary painters, sculptors, and architects. The goal of this thesis is to apply swarm robotics to the sublime and the quotidian to achieve this synergy between art and engineering. The potential applications of collective behaviors, manipulation, and self-assembly are quite extensive. We will concentrate our research on three topics: fractals, stabil- ity analysis, and building an enhanced multi-robot simulator. Self-assembly of swarm robots into fractal shapes can be used both for artistic purposes (fractal sculptures) and in engineering applications (fractal antennas). Stability analysis studies whether distributed swarm algorithms are stable and robust either to sensing or to numerical errors, and tries to provide solutions to avoid unstable robot configurations. Our enhanced multi-robot simulator supports this research by providing real-time simula- tions with customized parameters, and can become as well a platform for educating a new generation of artists and engineers. The goal of this thesis is to use techniques inspired by swarm robotics to develop a computational framework accessible to and suitable for both artists and engineers. -
A Dynamic Rod Model to Simulate Mechanics of Cables and Dna
A DYNAMIC ROD MODEL TO SIMULATE MECHANICS OF CABLES AND DNA by Sachin Goyal A dissertation submitted in partial fulfillment of the requirements for the degree of Doctor of Philosophy (Mechanical Engineering and Scientific Computing) in The University of Michigan 2006 Doctoral Committee: Professor Noel Perkins, Chair Associate Professor Edgar Meyhofer, Co-Chair Assistant Professor Ioan Andricioaei Assistant Professor Krishnakumar Garikipati Assistant Professor Jens-Christian Meiners Dedication To my parents ii Acknowledgements I am extremely grateful to my advisor Prof. Noel Perkins for his highly conducive and motivating research guidance and overall mentoring. I sincerely appreciate many engaging discussions of DNA mechanics and supercoiling with Prof. E. Meyhofer and Prof. K. Garikipati in Mechanical Engineering Program, Prof. C. Meiners in the Biophysics Program, Prof. I. Andricioaei in the Biochemistry/ Biophysics Program and and Dr. S. Blumberg in Medical school at the University of Michigan and Dr. C. L. Lee at the Lawrence Livermore National Laboratory, California. I also appreciate Professor Jason D. Kahn (Department of Chemistry and Biochemistry, University of Maryland) for providing the sequences used in his experiments, and Professor Wilma K. Olson (Department of Chemistry and Chemical Biology, Rutgers University) for suggesting alternative binding topologies in DNA-protein complexes. I also acknowledge recent graduate students T. Lillian in Mechanical Engineering Program, D. Wilson in Physics Program and J. Wereszczynski in Chemistry Program to extend my work and collaborate on ongoing studies beyond the scope of dissertation. I also gratefully acknowledge the research support provided by the U. S. Office of Naval Research, Lawrence Livermore National Laboratories, and the National Science Foundation. -
Sources and Studies in the History of Mathematics and Physical Sciences
Sources and Studies in the History of Mathematics and Physical Sciences Editorial Board J.Z. Buchwald J. Lützen G.J. Toomer Advisory Board P.J. Davis T. Hawkins A.E. Shapiro D. Whiteside Springer Science+Business Media, LLC Sources and Studies in the History of Mathematics and Physical Seiences K. Andersen Brook Taylor's Work on Linear Perspective H.l.M. Bos Redefining Geometrical Exactness: Descartes' Transformation of the Early Modern Concept of Construction 1. Cannon/S. Dostrovsky The Evolution of Dynamics: Vibration Theory from 1687 to 1742 B. ChandIerlW. Magnus The History of Combinatorial Group Theory A.I. Dale AHistory of Inverse Probability: From Thomas Bayes to Karl Pearson, Second Edition A.I. Dale Most Honourable Remembrance: The Life and Work of Thomas Bayes A.I. Dale Pierre-Simon Laplace, Philosophical Essay on Probabilities, Translated from the fifth French edition of 1825, with Notes by the Translator P. Damerow/G. FreudenthallP. McLaugWin/l. Renn Exploring the Limits of Preclassical Mechanics: A Study of Conceptual Development in Early Modem Science: Free Fall and Compounded Motion in the Work of Descartes, Galileo, and Beeckman, Second Edition P.l. Federico Descartes on Polyhedra: A Study of the De Solworum Elementis B.R. Goldstein The Astronomy of Levi ben Gerson (1288-1344) H.H. Goldstine A History of Numerical Analysis from the 16th Through the 19th Century H.H. Goldstine A History of the Calculus of Variations from the 17th Through the 19th Century G. Graßhoff The History of Ptolemy's Star Catalogue A.W. Grootendorst Jan de Witt's Eiementa Curvarum Linearum, über Primus Continued after Index The Arithmetic of Infinitesimals John Wallis 1656 Translated from Latin to English with an Introduction by Jacqueline A.