THE PARTICLE IV 4.1Mechanical Equilibrium
Total Page:16
File Type:pdf, Size:1020Kb
Load more
Recommended publications
-
Vectors and Beyond: Geometric Algebra and Its Philosophical
dialectica Vol. 63, N° 4 (2010), pp. 381–395 DOI: 10.1111/j.1746-8361.2009.01214.x Vectors and Beyond: Geometric Algebra and its Philosophical Significancedltc_1214 381..396 Peter Simons† In mathematics, like in everything else, it is the Darwinian struggle for life of ideas that leads to the survival of the concepts which we actually use, often believed to have come to us fully armed with goodness from some mysterious Platonic repository of truths. Simon Altmann 1. Introduction The purpose of this paper is to draw the attention of philosophers and others interested in the applicability of mathematics to a quiet revolution that is taking place around the theory of vectors and their application. It is not that new math- ematics is being invented – on the contrary, the basic concepts are over a century old – but rather that this old theory, having languished for many decades as a quaint backwater, is being rediscovered and properly applied for the first time. The philosophical importance of this quiet revolution is not that new applications for old mathematics are being found. That presumably happens much of the time. Rather it is that this new range of applications affords us a novel insight into the reasons why vectors and their mathematical kin find application at all in the real world. Indirectly, it tells us something general but interesting about the nature of the spatiotemporal world we all inhabit, and that is of philosophical significance. Quite what this significance amounts to is not yet clear. I should stress that nothing here is original: the history is quite accessible from several sources, and the mathematics is commonplace to those who know it. -
Unit 1: Motion
Macomb Intermediate School District High School Science Power Standards Document Physics The Michigan High School Science Content Expectations establish what every student is expected to know and be able to do by the end of high school. They also outline the parameters for receiving high school credit as dictated by state law. To aid teachers and administrators in meeting these expectations the Macomb ISD has undertaken the task of identifying those content expectations which can be considered power standards. The critical characteristics1 for selecting a power standard are: • Endurance – knowledge and skills of value beyond a single test date. • Leverage - knowledge and skills that will be of value in multiple disciplines. • Readiness - knowledge and skills necessary for the next level of learning. The selection of power standards is not intended to relieve teachers of the responsibility for teaching all content expectations. Rather, it gives the school district a common focus and acts as a safety net of standards that all students must learn prior to leaving their current level. The following document utilizes the unit design including the big ideas and real world contexts, as developed in the science companion documents for the Michigan High School Science Content Expectations. 1 Dr. Douglas Reeves, Center for Performance Assessment Unit 1: Motion Big Ideas The motion of an object may be described using a) motion diagrams, b) data, c) graphs, and d) mathematical functions. Conceptual Understandings A comparison can be made of the motion of a person attempting to walk at a constant velocity down a sidewalk to the motion of a person attempting to walk in a straight line with a constant acceleration. -
Newton's Second
Newton's Second Law INTRODUCTION Sir Isaac Newton1 put forth many important ideas in his famous book The Principia. His three laws of motion are the best known of these. The first law seems to be at odds with our everyday experience. Newton's first law states that any object at rest that is not acted upon by outside forces will remain at rest, and that any object in motion not acted upon by outside forces will continue its motion in a straight line at a constant velocity. If we roll a ball across the floor, we know that it will eventually come to a stop, seemingly contradicting the First Law. Our experience seems to agree with Aristotle's2 idea, that the \impetus"3 given to the ball is used up as it rolls. But Aristotle was wrong, as is our first impression of the ball's motion. The key is that the ball does experience an outside force, i.e., friction, as it rolls across the floor. This force causes the ball to decelerate (that is, it has a \negative" acceleration). According to Newton's second law an object will accelerate in the direction of the net force. Since the force of friction is opposite to the direction of travel, this acceleration causes the object to slow its forward motion, and eventually stop. The purpose of this laboratory exercise is to verify Newton's second law. DISCUSSION OF PRINCIPLES Newton's second law in vector form is X F~ = m~a or F~net = m~a (1) This force causes the ball rolling on the floor to decelerate (that is, it has a \negative" accelera- tion). -
Module 2: Hydrostatics
Module 2: Hydrostatics . Hydrostatic pressure and devices: 2 lectures . Forces on surfaces: 2.5 lectures . Buoyancy, Archimedes, stability: 1.5 lectures Mech 280: Frigaard Lectures 1-2: Hydrostatic pressure . Should be able to: . Use common pressure terminology . Derive the general form for the pressure distribution in static fluid . Calculate the pressure within a constant density fluids . Calculate forces in a hydraulic press . Analyze manometers and barometers . Calculate pressure distribution in varying density fluid . Calculate pressure in fluids in rigid body motion in non-inertial frames of reference Mech 280: Frigaard Pressure . Pressure is defined as a normal force exerted by a fluid per unit area . SI Unit of pressure is N/m2, called a pascal (Pa). Since the unit Pa is too small for many pressures encountered in engineering practice, kilopascal (1 kPa = 103 Pa) and mega-pascal (1 MPa = 106 Pa) are commonly used . Other units include bar, atm, kgf/cm2, lbf/in2=psi . 1 psi = 6.695 x 103 Pa . 1 atm = 101.325 kPa = 14.696 psi . 1 bar = 100 kPa (close to atmospheric pressure) Mech 280: Frigaard Absolute, gage, and vacuum pressures . Actual pressure at a give point is called the absolute pressure . Most pressure-measuring devices are calibrated to read zero in the atmosphere. Pressure above atmospheric is called gage pressure: Pgage=Pabs - Patm . Pressure below atmospheric pressure is called vacuum pressure: Pvac=Patm - Pabs. Mech 280: Frigaard Pressure at a Point . Pressure at any point in a fluid is the same in all directions . Pressure has a magnitude, but not a specific direction, and thus it is a scalar quantity . -
Slightly Disturbed a Mathematical Approach to Oscillations and Waves
Slightly Disturbed A Mathematical Approach to Oscillations and Waves Brooks Thomas Lafayette College Second Edition 2017 Contents 1 Simple Harmonic Motion 4 1.1 Equilibrium, Restoring Forces, and Periodic Motion . ........... 4 1.2 Simple Harmonic Oscillator . ...... 5 1.3 Initial Conditions . ....... 8 1.4 Relation to Cirular Motion . ...... 9 1.5 Simple Harmonic Oscillators in Disguise . ....... 9 1.6 StateSpace ....................................... ....... 11 1.7 Energy in the Harmonic Oscillator . ........ 12 2 Simple Harmonic Motion 16 2.1 Motivational Example: The Motion of a Simple Pendulum . .......... 16 2.2 Approximating Functions: Taylor Series . ........... 19 2.3 Taylor Series: Applications . ........ 20 2.4 TestsofConvergence............................... .......... 21 2.5 Remainders ........................................ ...... 22 2.6 TheHarmonicApproximation. ........ 23 2.7 Applications of the Harmonic Approximation . .......... 26 3 Complex Variables 29 3.1 ComplexNumbers .................................... ...... 29 3.2 TheComplexPlane .................................... ..... 31 3.3 Complex Variables and the Simple Harmonic Oscillator . ......... 32 3.4 Where Making Things Complex Makes Them Simple: AC Circuits . ......... 33 3.5 ComplexImpedances................................. ........ 35 4 Introduction to Differential Equations 37 4.1 DifferentialEquations ................................ ........ 37 4.2 SeparationofVariables............................... ......... 39 4.3 First-Order Linear Differential Equations -
Students' Conception and Application of Mechanical Equilibrium Through Their Sketches
Paper ID #17998 Students’ Conception and Application of Mechanical Equilibrium Through Their Sketches Ms. Nicole Johnson, University of Illinois, Urbana-Champaign Nicole received her B.S. in Engineering Physics at the Colorado School of Mines (CSM) in May 2013. She is currently working towards a PhD in Materials Science and Engineering at the University of Illinois at Urbana-Champaign (UIUC) under Professor Angus Rockett and Geoffrey Herman. Her research is a mixture between understanding defect behavior in solar cells and student learning in Materials Science. Outside of research she helps plan the Girls Learning About Materials (GLAM) summer camp for high school girls at UIUC. Dr. Geoffrey L. Herman, University of Illinois, Urbana-Champaign Dr. Geoffrey L. Herman is a teaching assistant professor with the Deprartment of Computer Science at the University of Illinois at Urbana-Champaign. He also has a courtesy appointment as a research assis- tant professor with the Department of Curriculum & Instruction. He earned his Ph.D. in Electrical and Computer Engineering from the University of Illinois at Urbana-Champaign as a Mavis Future Faculty Fellow and conducted postdoctoral research with Ruth Streveler in the School of Engineering Educa- tion at Purdue University. His research interests include creating systems for sustainable improvement in engineering education, conceptual change and development in engineering students, and change in fac- ulty beliefs about teaching and learning. He serves as the Publications Chair for the ASEE Educational Research and Methods Division. c American Society for Engineering Education, 2017 Students’ Conception and Application of Mechanical Equilibrium Through Their Sketches 1. Introduction and Relevant Literature Sketching is central to engineering practice, especially design[1]–[4]. -
PHYS2100: Hamiltonian Dynamics and Chaos
PHYS2100: Hamiltonian dynamics and chaos M. J. Davis September 2006 Chapter 1 Introduction Lecturer: Dr Matthew Davis. Room: 6-403 (Physics Annexe, ARC Centre of Excellence for Quantum-Atom Optics) Phone: (334) 69824 email: [email protected] Office hours: Friday 8-10am, or by appointment. Useful texts Rasband: Chaotic dynamics of nonlinear systems. Q172.5.C45 R37 1990. • Percival and Richards: Introduction to dynamics. QA614.8 P47 1982. • Baker and Gollub: Chaotic dynamics: an introduction. QA862 .P4 B35 1996. • Gleick: Chaos: making a new science. Q172.5.C45 G54 1998. • Abramowitz and Stegun, editors: Handbook of mathematical functions: with formulas, graphs, and• mathematical tables. QA47.L8 1975 The lecture notes will be complete: However you can only improve your understanding by reading more. We will begin this section of the course with a brief reminder of a few essential conncepts from the first part of the course taught by Dr Karen Dancer. 1.1 Basics A mechanical system is known as conservative if F dr = 0. (1.1) I · Frictional or dissipative systems do not satisfy Eq. (1.1). Using vector analysis it can be shown that Eq. (1.1) implies that there exists a potential function 1 such that F = V (r). (1.2) −∇ for some V (r). We will assume that conservative systems have time-independent potentials. A holonomic constraint is a constraint written in terms of an equality e.g. r = a, a> 0. (1.3) | | A non-holonomic constraint is written as an inequality e.g. r a. | | ≥ 1.2 Lagrangian mechanics For a mechanical system of N particles with k holonomic constraints, there are a total of 3N k degrees of freedom. -
Spacetime Algebra As a Powerful Tool for Electromagnetism
Spacetime algebra as a powerful tool for electromagnetism Justin Dressela,b, Konstantin Y. Bliokhb,c, Franco Norib,d aDepartment of Electrical and Computer Engineering, University of California, Riverside, CA 92521, USA bCenter for Emergent Matter Science (CEMS), RIKEN, Wako-shi, Saitama, 351-0198, Japan cInterdisciplinary Theoretical Science Research Group (iTHES), RIKEN, Wako-shi, Saitama, 351-0198, Japan dPhysics Department, University of Michigan, Ann Arbor, MI 48109-1040, USA Abstract We present a comprehensive introduction to spacetime algebra that emphasizes its prac- ticality and power as a tool for the study of electromagnetism. We carefully develop this natural (Clifford) algebra of the Minkowski spacetime geometry, with a particular focus on its intrinsic (and often overlooked) complex structure. Notably, the scalar imaginary that appears throughout the electromagnetic theory properly corresponds to the unit 4-volume of spacetime itself, and thus has physical meaning. The electric and magnetic fields are combined into a single complex and frame-independent bivector field, which generalizes the Riemann-Silberstein complex vector that has recently resurfaced in stud- ies of the single photon wavefunction. The complex structure of spacetime also underpins the emergence of electromagnetic waves, circular polarizations, the normal variables for canonical quantization, the distinction between electric and magnetic charge, complex spinor representations of Lorentz transformations, and the dual (electric-magnetic field exchange) symmetry that produces helicity conservation in vacuum fields. This latter symmetry manifests as an arbitrary global phase of the complex field, motivating the use of a complex vector potential, along with an associated transverse and gauge-invariant bivector potential, as well as complex (bivector and scalar) Hertz potentials. -
Dialectica Dialectica Vol
dialectica dialectica Vol. 63, N° 4 (2009), pp. 381–395 DOI: 10.1111/j.1746-8361.2009.01214.x Vectors and Beyond: Geometric Algebra and its Philosophical Significancedltc_1214 381..396 Peter Simons† In mathematics, like in everything else, it is the Darwinian struggle for life of ideas that leads to the survival of the concepts which we actually use, often believed to have come to us fully armed with goodness from some mysterious Platonic repository of truths. Simon Altmann 1. Introduction The purpose of this paper is to draw the attention of philosophers and others interested in the applicability of mathematics to a quiet revolution that is taking place around the theory of vectors and their application. It is not that new math- ematics is being invented – on the contrary, the basic concepts are over a century old – but rather that this old theory, having languished for many decades as a quaint backwater, is being rediscovered and properly applied for the first time. The philosophical importance of this quiet revolution is not that new applications for old mathematics are being found. That presumably happens much of the time. Rather it is that this new range of applications affords us a novel insight into the reasons why vectors and their mathematical kin find application at all in the real world. Indirectly, it tells us something general but interesting about the nature of the spatiotemporal world we all inhabit, and that is of philosophical significance. Quite what this significance amounts to is not yet clear. I should stress that nothing here is original: the history is quite accessible from several sources, and the mathematics is commonplace to those who know it. -
Rolling Rolling Condition for Rolling Without Slipping
Rolling Rolling simulation We can view rolling motion as a superposition of pure rotation and pure translation. Pure rotation Pure translation Rolling +rω +rω v Rolling ω ω v -rω +=v -rω v For rolling without slipping, the net instantaneous velocity at the bottom of the wheel is zero. To achieve this condition, 0 = vnet = translational velocity + tangential velocity due to rotation. In other wards, v – rω = 0. When v = rω (i.e., rolling without slipping applies), the tangential velocity at the top of the wheel is twice the 1 translational velocity of the wheel (= v + rω = 2v). 2 Condition for Rolling Without Big yo-yo Slipping A large yo-yo stands on a table. A rope wrapped around the yo-yo's axle, which has a radius that’s half that of When a disc is rolling without slipping, the bottom the yo-yo, is pulled horizontally to the right, with the of the wheel is always at rest instantaneously. rope coming off the yo-yo above the axle. In which This leads to ω = v/r and α = a/r direction does the yo-yo move? There is friction between the table and the yo-yo. Suppose the yo-yo where v is the translational velocity and a is is pulled slowly enough that the yo-yo does not slip acceleration of the center of mass of the disc. on the table as it rolls. rω 1. to the right ω 2. to the left v 3. it won't move -rω X 3 4 Vnet at this point = v – rω Big yo-yo Big yo-yo, again Since the yo-yo rolls without slipping, the center of mass The situation is repeated but with the rope coming off the velocity of the yo-yo must satisfy, vcm = rω. -
On the Development of Optimization Theory
The American Mathematical Monthly pp ON THE DEVELOPMENT OF OPTIMIZATION THEORY Andras Prekopa Intro duction Farkass famous pap er of b ecame a principal reference for linear inequalities after the publication of the pap er of Kuhn and Tucker Nonlinear Programming in In that pap er Farkass fundamental theorem on linear inequalities was used to derive necessary conditions for optimality for the nonlinear programming problem The results obtained led to a rapid development of nonlinear optimization theory The work of John containing similar but weaker results for optimality published in has b een generally known but it was not until a few years ago that Karushs work of b ecame widely known although essentially the same result was obtained by Kuhn and Tucker in In this pap er we call attention to some imp ortantwork done in the last century and b efore We show that fundamental ideas ab out the necessary optimality conditions for nonlinear optimization sub ject to inequality constraints can b e found in pap ers byFourier Cournot and Farkas as well as by Gauss Ostrogradsky and Hamel To start to describ e the early development of optimization theory it is very helpful to lo ok at the rst two sentences in Farkass pap er The natural and systematic treatment of analytical mechanics has to have as its background the inequalit y principle of virtual displacements rst formulated byFourier Andras Prekopa received his PhD in at the University of Budap est under the leadership of A Renyi He was Assistant Professor and later Asso ciate Professor -
Net Force Is Zero)
Force & Motion Motion Motion is a change in the position of an object • Caused by force (a push or pull) Force A force is a a push or pull on an object • Measured in units called newtons (N) • Forces act in pairs Examples of Force: Ø Gravity Ø Magnetic Ø Friction Ø Centripetal Inertia Inertia is the tendency of an object to keep doing what it is doing • An object at rest will remain at rest until acted upon by an unbalanced force. • An object in motion will remain in motion until acted upon by an unbalanced force. Balanced Forces A balanced force is when all the forces acting on an object are equal (net force is zero) • Balanced forces do not cause a change in motion. How Can Balanced Forces Affect Objects? • Cause the shape of an object to change without changing its motion • Cause an object at rest to stay at rest or an object in motion to stay in motion (inertia) • Cause an object moving at a constant speed to continue at a constant speed What is an example of a balanced force? Unbalanced Forces An unbalanced force is when all the forces acting on an object are not equal • The forces can be in the same direction or in opposite directions. • Unbalanced forces cause a change in motion. How Can Unbalanced Forces Affect Objects? • Acceleration is caused by unbalanced forces: – slow down – speed up – stop – start – change direction – change shape What is an example of a unbalanced force? Net Force The Net force is he total of all forces acting on an object: – Forces in the same direction are added.