International Journal of Advance Engineering and Research Development OSCILLATION AND STABILITY IN A MASS SPRING SYSTEM
|
|
- Delilah Holt
- 5 years ago
- Views:
Transcription
1 Scientific Journal of Ipact Factor (SJIF): 5.71 International Journal of Advance Engineering and Researc Developent Volue 5, Issue 06, June -018 e-issn (O): p-issn (P): OSCILLATION AND STABILITY IN A MASS SPRING SYSTEM A. George Maria Selva 1, R. Janagaraj 1 1 Departent of Mateatics, Sacred Heart College (Autonoous), Tirupattur , Vellore Dist., Tail Nadu, S.India. Abstract Tis paper exaines te dynaical beavior of Daped and Undaped otions of ass spring syste represented by Hoogeneous Differential Equations as well as Discrete Fractional order Equations. For eac syste te equilibriu position is establised and te nature of te syste is analyzed. Also tie line plots and pase diagras for appropriate nuerical values are produced. Keywords- Mass Spring, Hoogeneous, Oscillation, Stability, Fractional differential equations. []1 ESTABLISHMENT OF MASS SPRING SYSTEM Mass spring syste is one of te ost iportant applications of second order differential equations [, 5, 8]. Mass spring syste is described as d x x F() t Tis derived fro Newton s second law of otion ([, 5]). Here is ass; d x Ft () is acceleration; x is restoring force ( is spring constant); is daping force ( is daping constant); and denotes external forces acting on te ass, wic depends on bot ass and tie. Tus d x x F() t Te equation is oogeneous or nonoogeneous depending on weter forces oter tan te spring and daping forces act on te ass. In tis paper we are considering only two forces acting on te ass, ignoring te external forces. [] MASS SPRING SYSTEM WITH DAMPING VIBRATIONS All vibrations are subject to daping of soe sort, wen no oter forces act on te ass, besides te spring, and gravity for vertical oscillations. Differential equation (1) becoes oogeneous of te for, d x 0 x 4 Solving (), we get te roots r1,. We sall sow tat tree types of otion can occur [, 5]; 1. Over daped if 4 0 (te roots are real and distinct).. Critically daped if 4 0 (te roots are real and equal). 3. Under daped if 4 0(te roots are iaginary)..1. Syste of Differential Equations Second order oogeneous differential equation is converted into a syste of first order differential equations by taing yt () [4]. Equation () taes te for yt () (3) dy y( t) x( t) Te syste (3) as only one fixed point naely (0,0) and te Jacobian Matrix J for te syste (3) is [4, 7] (1) All rigts Reserved 37
2 Volue 5, Issue 06, June-018, e-issn: , print-issn: Te eigen values of (3) are , 4. Next we discuss te types of otion wit illustration. (4).1.1. Over daped Motion. Te syste (3) is over daped if 4 0, so tat 4. Let 1; 4;and wit te initial condition x(0) 0.5; y(0) 0.5. Fro te Jacobian atrix (4), we obtain te roots and 3.414, wic are real and distinct. In figure - 1 is overdaped otion; daping is so large tat oscillations are copletely eliinated. Te ass siply returns to te equilibriu position witout passing troug it..1.. Critically Daped Motion. Te syste (3) is critically daped if Figure 1. Over daped Motion of (3) wit te 4 0, so tat 4. Taing 1; 4;and 4 initial condition x(0) 0.5; y(0) 0.5. Using te Jacobian atrix (4), te roots are 1,, wic are real and equal. In figure - sows critically daped otion; Once again no oscillations occur. Tis situation fors te division between over daped and under daped otion Under daped Motion. Te syste (3) is under daped if Figure. Critically daped for te syste (3) 4 0, so tat 4. Considering 1; 0.;and wit te initial condition x(0) 0.5; y(0) 0.5, te roots are 1, 0.1 i1.4101, wic is iaginary. In figure - 3, we get underdaped otion; we ave daped oscillation and te otion goes to 0 wen te tie All rigts Reserved 373
3 Volue 5, Issue 06, June-018, e-issn: , print-issn: Figure 3. Underdaped for te syste (3).. Discrete Fractional Order Syste. Let us consider te syste of fractional differential equations as D x( t) y( t) D y( t) y( t) x( t) were is te fractional order. [1, 3, 6] Wen we apply te process of discretization, we get its discrete version in te for, x( t 1) x( t) y( t) (1 ) (5) y( t 1) y( t) y( t) x( t) (1 ) Te fixed point of te syste (5) is (0,0) and te Jacobian Matrix J for te syste (5) is 1 s s s 1 s s were s, te eigen values of te syste (5) are 1, 1 4. Now we investigate te types of (1 ) otion and plot te nuerical siulation wit different paraeters...1. Over daped Motion. Te syste (5) is over daped if 4 0, so tat (6) 4. Let 0.8; 0.04; 1; 4;and wit te initial condition x(0) 0.5; y(0) 0.5. Using te Jacobian atrix (6), te roots are and 0.711, wic is real and distinct. In figure - 4 is Overdaped otion. Figure 4. Over daped Motion for All rigts Reserved 374
4 Volue 5, Issue 06, June-018, e-issn: , print-issn: Critically Daped Motion. Te syste (5) is critically daped if 4 0, so tat 4. Taing te values 0.8; 0.04; 1; 4;and 4 wit te initial condition x(0) 0.5; y(0) 0.5. Using te Jacobian atrix (6), te roots are 1, , wic is real and equal. In figure - 5 is critically daped otion...3. Under daped Motion. Te syste (5) is under daped if Figure 5. Critically daped Motion for (5) 4 0, so tat 4. Considering 0.8; 0.04; 1; 0.;and wit te initial x(0) 0.5; y(0) 0.5. Te roots are 1, i0.1153, wic is iaginary. In figure 6 is underdaped otion. FIGURE 6. Underdaped for te syste (5) In Figures 7, we execute te grap of te dynaical syste for different orders of te fractional derivative; naely, (0.4 All rigts Reserved 375
5 Volue 5, Issue 06, June-018, e-issn: , print-issn: Figure 7. Overdaped and Crically daped otions for te syste (5) wit various fractional order s In figure 8, exibits te underdaped otions for te syste (5) wit various fractional order [0.7,0.8]. Fractional order 'sfro , presents te unbounded oscillations followed by te unifor oscillation wen finally te syste attains stability for [0.78,0.8]. 0.7, and for FIGURE 8. Underdaped otions for te syste (5) wit various fractional order s III. MASS SPRING SYSTEM WITH UNDAMPING VIBRATIONS In tis section, we consider only spring force acting on te ass and ignore te daping forces, wic of te d x 0 x Solving te equation (7), we get te roots r1, i. Now te equation (7) is cange into te syste of differential equations given by yt () (8) dy xt () Te fixed point of te syste (8) is (0,0) and te Jacobian atrix of te syste is Te eigen valus are 1, i. Taing te suitable paraetric values 1; 36 wit te initial conditions x(0) 0.5; y(0) 0.5, we get te eigen values 6. i Te ass oscillates about its equilibriu position forever. Tis is a (7) All rigts Reserved 376
6 Volue 5, Issue 06, June-018, e-issn: , print-issn: direct result of te fact tat daping as been ignored. Te ass oscillates up and down after a long tie period and it is reduced to a stable position wen te springs weaen, see figure - 9. Figure 9. Mass Spring syste (8) for Free Daped Motions Let us consider te syste fractional order differential equations of te for D x( t) y( t) D y( t) x( t) is te fractional order. Now using te discretization process, te above fractional order differential equations is odified into te for of syste of discrete fractional order equations, x( t 1) x( t) y( t) (1 ) Te fixed point (10) is were (0,0) y( t 1) y( t) x( t) (1 ) and te Jacobian Matrix J for (10) is 1 s s 1 s and te eigen values (10) are 1, 1 is. Now coosing te paraeter values (1 ) 0.8; 0.01; 1; 0. wit te initial conditions x(0) 0.5; y(0) 0.5, we get te eigen values 1, 1 i Te syste is undaped, te solution as led to oscillations tat becoe unbounded, refer figure (10) (11) FIGURE 10. Discrete Fractional Order Mass Spring syste (10) of Free Daped All rigts Reserved 377
7 Volue 5, Issue 06, June-018, e-issn: , print-issn: REFERENCES [1] A.George Maria Selva, Janagaraj, R.Dinesbabu, Dynaical Analysis of a Discrete Fractional Order Prey Predator 3 D Syste, International Journal of Researc & Developent Organization, Vol., No. 1, 4-31 (016). [] Dennis G. Zill, A first Course in Differential Equations wit Modelling Applications, Nint Edition, Broos/Cole, Cengage Learning (009). [3] El-Sayed, AMA, Salan, SM: On a discretization process of fractional-order Logistic differential equation, J. Egypt.Mat. Soc. (accepted) [4] Lawrence Pero, Differential Equations and Dynaical Systes, Tird Edition, Springer International Edition, First Indian Reprint, (009). [5] Paul Blancard, Robert L. Devaney, Glen R. Hill, Differential Equations, Fourt Edition, Broos/Cole, Cengage Learning (01). [6] Ravi P Agarwal, Aed MA El-Sayed and Sanaa M Salan, Fractional-order Cua s syste discretization, bifurcation and caos, Agarwal et al. Advances in Difference Equations, 30 (013). [7] Saber Elaydi, An Introduction to Difference Equations, Tird Edition, Springer International Edition, First Indian Reprint, (008). [8] Willia E. Boyce and Ricard C. Di Pria, Eleentary Differential Equations and Boundary Value Probles, Jon Wiley and Sons, Inc., All rigts Reserved 378
Chapter 2: Introduction to Damping in Free and Forced Vibrations
Chapter 2: Introduction to Daping in Free and Forced Vibrations This chapter ainly deals with the effect of daping in two conditions like free and forced excitation of echanical systes. Daping plays an
More informationSIMPLE HARMONIC MOTION: NEWTON S LAW
SIMPLE HARMONIC MOTION: NEWTON S LAW siple not siple PRIOR READING: Main 1.1, 2.1 Taylor 5.1, 5.2 http://www.yoops.org/twocw/it/nr/rdonlyres/physics/8-012fall-2005/7cce46ac-405d-4652-a724-64f831e70388/0/chp_physi_pndul.jpg
More informationEN40: Dynamics and Vibrations. Midterm Examination Tuesday March
EN4: Dynaics and ibrations Midter Exaination Tuesday Marc 4 14 Scool of Engineering Brown University NAME: General Instructions No collaboration of any kind is peritted on tis exaination. You ay bring
More informationlecture 35: Linear Multistep Mehods: Truncation Error
88 lecture 5: Linear Multistep Meods: Truncation Error 5.5 Linear ultistep etods One-step etods construct an approxiate solution x k+ x(t k+ ) using only one previous approxiation, x k. Tis approac enoys
More informationThe Derivative as a Function
Section 2.2 Te Derivative as a Function 200 Kiryl Tsiscanka Te Derivative as a Function DEFINITION: Te derivative of a function f at a number a, denoted by f (a), is if tis limit exists. f (a) f(a + )
More informationMTH-112 Quiz 1 Name: # :
MTH- Quiz Name: # : Please write our name in te provided space. Simplif our answers. Sow our work.. Determine weter te given relation is a function. Give te domain and range of te relation.. Does te equation
More information2.8 The Derivative as a Function
.8 Te Derivative as a Function Typically, we can find te derivative of a function f at many points of its domain: Definition. Suppose tat f is a function wic is differentiable at every point of an open
More informationContinuity and Differentiability Worksheet
Continuity and Differentiability Workseet (Be sure tat you can also do te grapical eercises from te tet- Tese were not included below! Typical problems are like problems -3, p. 6; -3, p. 7; 33-34, p. 7;
More information4. The slope of the line 2x 7y = 8 is (a) 2/7 (b) 7/2 (c) 2 (d) 2/7 (e) None of these.
Mat 11. Test Form N Fall 016 Name. Instructions. Te first eleven problems are wort points eac. Te last six problems are wort 5 points eac. For te last six problems, you must use relevant metods of algebra
More informationNumerical Differentiation
Numerical Differentiation Finite Difference Formulas for te first derivative (Using Taylor Expansion tecnique) (section 8.3.) Suppose tat f() = g() is a function of te variable, and tat as 0 te function
More informationMath 102 TEST CHAPTERS 3 & 4 Solutions & Comments Fall 2006
Mat 102 TEST CHAPTERS 3 & 4 Solutions & Comments Fall 2006 f(x+) f(x) 10 1. For f(x) = x 2 + 2x 5, find ))))))))) and simplify completely. NOTE: **f(x+) is NOT f(x)+! f(x+) f(x) (x+) 2 + 2(x+) 5 ( x 2
More informationThe total error in numerical differentiation
AMS 147 Computational Metods and Applications Lecture 08 Copyrigt by Hongyun Wang, UCSC Recap: Loss of accuracy due to numerical cancellation A B 3, 3 ~10 16 In calculating te difference between A and
More informationHigher Derivatives. Differentiable Functions
Calculus 1 Lia Vas Higer Derivatives. Differentiable Functions Te second derivative. Te derivative itself can be considered as a function. Te instantaneous rate of cange of tis function is te second derivative.
More informationTest 2 Review. 1. Find the determinant of the matrix below using (a) cofactor expansion and (b) row reduction. A = 3 2 =
Test Review Find te determinant of te matrix below using (a cofactor expansion and (b row reduction Answer: (a det + = (b Observe R R R R R R R R R Ten det B = (((det Hence det Use Cramer s rule to solve:
More informationPassivity based control of magnetic levitation systems: theory and experiments Λ
Passivity based control of agnetic levitation systes: teory and experients Λ Hugo Rodriguez a, Roeo Ortega ay and Houria Siguerdidjane b alaboratoire des Signaux et Systées bservice d Autoatique Supelec
More informationDerivatives of Exponentials
mat 0 more on derivatives: day 0 Derivatives of Eponentials Recall tat DEFINITION... An eponential function as te form f () =a, were te base is a real number a > 0. Te domain of an eponential function
More informationForce and dynamics with a spring, analytic approach
Force and dynaics with a spring, analytic approach It ay strie you as strange that the first force we will discuss will be that of a spring. It is not one of the four Universal forces and we don t use
More informationClick here to see an animation of the derivative
Differentiation Massoud Malek Derivative Te concept of derivative is at te core of Calculus; It is a very powerful tool for understanding te beavior of matematical functions. It allows us to optimize functions,
More informationChapter 1: Basics of Vibrations for Simple Mechanical Systems
Chapter 1: Basics of Vibrations for Siple Mechanical Systes Introduction: The fundaentals of Sound and Vibrations are part of the broader field of echanics, with strong connections to classical echanics,
More information1 The concept of limits (p.217 p.229, p.242 p.249, p.255 p.256) 1.1 Limits Consider the function determined by the formula 3. x since at this point
MA00 Capter 6 Calculus and Basic Linear Algebra I Limits, Continuity and Differentiability Te concept of its (p.7 p.9, p.4 p.49, p.55 p.56). Limits Consider te function determined by te formula f Note
More informationUnit 14 Harmonic Motion. Your Comments
Today s Concepts: Periodic Motion Siple - Mass on spring Daped Forced Resonance Siple - Pendulu Unit 1, Slide 1 Your Coents Please go through the three equations for siple haronic otion and phase angle
More informationma x = -bv x + F rod.
Notes on Dynaical Systes Dynaics is the study of change. The priary ingredients of a dynaical syste are its state and its rule of change (also soeties called the dynaic). Dynaical systes can be continuous
More informationProblem Set 14: Oscillations AP Physics C Supplementary Problems
Proble Set 14: Oscillations AP Physics C Suppleentary Probles 1 An oscillator consists of a bloc of ass 050 g connected to a spring When set into oscillation with aplitude 35 c, it is observed to repeat
More information. If lim. x 2 x 1. f(x+h) f(x)
Review of Differential Calculus Wen te value of one variable y is uniquely determined by te value of anoter variable x, ten te relationsip between x and y is described by a function f tat assigns a value
More information5.1 The derivative or the gradient of a curve. Definition and finding the gradient from first principles
Capter 5: Dierentiation In tis capter, we will study: 51 e derivative or te gradient o a curve Deinition and inding te gradient ro irst principles 5 Forulas or derivatives 5 e equation o te tangent line
More informationDerivative at a point
Roberto s Notes on Differential Calculus Capter : Definition of derivative Section Derivative at a point Wat you need to know already: Te concept of liit and basic etods for coputing liits. Wat you can
More informationSolve exponential equations in one variable using a variety of strategies. LEARN ABOUT the Math. What is the half-life of radon?
8.5 Solving Exponential Equations GOAL Solve exponential equations in one variable using a variety of strategies. LEARN ABOUT te Mat All radioactive substances decrease in mass over time. Jamie works in
More informationChapter 2 Limits and Continuity
4 Section. Capter Limits and Continuity Section. Rates of Cange and Limits (pp. 6) Quick Review.. f () ( ) () 4 0. f () 4( ) 4. f () sin sin 0 4. f (). 4 4 4 6. c c c 7. 8. c d d c d d c d c 9. 8 ( )(
More informationIntroduction to Derivatives
Introduction to Derivatives 5-Minute Review: Instantaneous Rates and Tangent Slope Recall te analogy tat we developed earlier First we saw tat te secant slope of te line troug te two points (a, f (a))
More information1. State whether the function is an exponential growth or exponential decay, and describe its end behaviour using limits.
Questions 1. State weter te function is an exponential growt or exponential decay, and describe its end beaviour using its. (a) f(x) = 3 2x (b) f(x) = 0.5 x (c) f(x) = e (d) f(x) = ( ) x 1 4 2. Matc te
More information2.11 That s So Derivative
2.11 Tat s So Derivative Introduction to Differential Calculus Just as one defines instantaneous velocity in terms of average velocity, we now define te instantaneous rate of cange of a function at a point
More informationQ5 We know that a mass at the end of a spring when displaced will perform simple m harmonic oscillations with a period given by T = 2!
Chapter 4.1 Q1 n oscillation is any otion in which the displaceent of a particle fro a fixed point keeps changing direction and there is a periodicity in the otion i.e. the otion repeats in soe way. In
More informationOscillations: Review (Chapter 12)
Oscillations: Review (Chapter 1) Oscillations: otions that are periodic in tie (i.e. repetitive) o Swinging object (pendulu) o Vibrating object (spring, guitar string, etc.) o Part of ediu (i.e. string,
More informationChapter 1 Functions and Graphs. Section 1.5 = = = 4. Check Point Exercises The slope of the line y = 3x+ 1 is 3.
Capter Functions and Graps Section. Ceck Point Exercises. Te slope of te line y x+ is. y y m( x x y ( x ( y ( x+ point-slope y x+ 6 y x+ slope-intercept. a. Write te equation in slope-intercept form: x+
More informationNumerical Analysis MTH603. dy dt = = (0) , y n+1. We obtain yn. Therefore. and. Copyright Virtual University of Pakistan 1
Numerical Analysis MTH60 PREDICTOR CORRECTOR METHOD Te metods presented so far are called single-step metods, were we ave seen tat te computation of y at t n+ tat is y n+ requires te knowledge of y n only.
More informationThe Verlet Algorithm for Molecular Dynamics Simulations
Cemistry 380.37 Fall 2015 Dr. Jean M. Standard November 9, 2015 Te Verlet Algoritm for Molecular Dynamics Simulations Equations of motion For a many-body system consisting of N particles, Newton's classical
More informationChapter 2. Limits and Continuity 16( ) 16( 9) = = 001. Section 2.1 Rates of Change and Limits (pp ) Quick Review 2.1
Capter Limits and Continuity Section. Rates of Cange and Limits (pp. 969) Quick Review..... f ( ) ( ) ( ) 0 ( ) f ( ) f ( ) sin π sin π 0 f ( ). < < < 6. < c c < < c 7. < < < < < 8. 9. 0. c < d d < c
More informationSection 2.7 Derivatives and Rates of Change Part II Section 2.8 The Derivative as a Function. at the point a, to be. = at time t = a is
Mat 180 www.timetodare.com Section.7 Derivatives and Rates of Cange Part II Section.8 Te Derivative as a Function Derivatives ( ) In te previous section we defined te slope of te tangent to a curve wit
More informationLecture #8-3 Oscillations, Simple Harmonic Motion
Lecture #8-3 Oscillations Siple Haronic Motion So far we have considered two basic types of otion: translation and rotation. But these are not the only two types of otion we can observe in every day life.
More informationCHECKLIST. r r. Newton s Second Law. natural frequency ω o (rad.s -1 ) (Eq ) a03/p1/waves/waves doc 9:19 AM 29/03/05 1
PHYS12 Physics 1 FUNDAMENTALS Module 3 OSCILLATIONS & WAVES Text Physics by Hecht Chapter 1 OSCILLATIONS Sections: 1.5 1.6 Exaples: 1.6 1.7 1.8 1.9 CHECKLIST Haronic otion, periodic otion, siple haronic
More informationREVIEW LAB ANSWER KEY
REVIEW LAB ANSWER KEY. Witout using SN, find te derivative of eac of te following (you do not need to simplify your answers): a. f x 3x 3 5x x 6 f x 3 3x 5 x 0 b. g x 4 x x x notice te trick ere! x x g
More informationPhyzExamples: Advanced Electrostatics
PyzExaples: Avance Electrostatics Pysical Quantities Sybols Units Brief Definitions Carge or Q coulob [KOO lo]: C A caracteristic of certain funaental particles. Eleentary Carge e 1.6 10 19 C Te uantity
More informationSimple Harmonic Motion
Reading: Chapter 15 Siple Haronic Motion Siple Haronic Motion Frequency f Period T T 1. f Siple haronic otion x ( t) x cos( t ). Aplitude x Phase Angular frequency Since the otion returns to its initial
More informationKey Concepts. Important Techniques. 1. Average rate of change slope of a secant line. You will need two points ( a, the formula: to find value
AB Calculus Unit Review Key Concepts Average and Instantaneous Speed Definition of Limit Properties of Limits One-sided and Two-sided Limits Sandwic Teorem Limits as x ± End Beaviour Models Continuity
More informationMAT 145. Type of Calculator Used TI-89 Titanium 100 points Score 100 possible points
MAT 15 Test #2 Name Solution Guide Type of Calculator Used TI-89 Titanium 100 points Score 100 possible points Use te grap of a function sown ere as you respond to questions 1 to 8. 1. lim f (x) 0 2. lim
More informationLAB #3: ELECTROSTATIC FIELD COMPUTATION
ECE 306 Revised: 1-6-00 LAB #3: ELECTROSTATIC FIELD COMPUTATION Purpose During tis lab you will investigate te ways in wic te electrostatic field can be teoretically predicted. Bot analytic and nuerical
More informationT m. Fapplied. Thur Oct 29. ω = 2πf f = (ω/2π) T = 1/f. k m. ω =
Thur Oct 9 Assignent 10 Mass-Spring Kineatics (x, v, a, t) Dynaics (F,, a) Tie dependence Energy Pendulu Daping and Resonances x Acos( ωt) = v = Aω sin( ωt) a = Aω cos( ωt) ω = spring k f spring = 1 k
More information1 Proving the Fundamental Theorem of Statistical Learning
THEORETICAL MACHINE LEARNING COS 5 LECTURE #7 APRIL 5, 6 LECTURER: ELAD HAZAN NAME: FERMI MA ANDDANIEL SUO oving te Fundaental Teore of Statistical Learning In tis section, we prove te following: Teore.
More informationSECTION 3.2: DERIVATIVE FUNCTIONS and DIFFERENTIABILITY
(Section 3.2: Derivative Functions and Differentiability) 3.2.1 SECTION 3.2: DERIVATIVE FUNCTIONS and DIFFERENTIABILITY LEARNING OBJECTIVES Know, understand, and apply te Limit Definition of te Derivative
More informationPHYS 1443 Section 003 Lecture #21 Wednesday, Nov. 19, 2003 Dr. Mystery Lecturer
PHYS 443 Section 003 Lecture # Wednesday, Nov. 9, 003 Dr. Mystery Lecturer. Fluid Dyanics : Flow rate and Continuity Equation. Bernoulli s Equation 3. Siple Haronic Motion 4. Siple Bloc-Spring Syste 5.
More informationf a h f a h h lim lim
Te Derivative Te derivative of a function f at a (denoted f a) is f a if tis it exists. An alternative way of defining f a is f a x a fa fa fx fa x a Note tat te tangent line to te grap of f at te point
More informationc hc h c h. Chapter Since E n L 2 in Eq. 39-4, we see that if L is doubled, then E 1 becomes (2.6 ev)(2) 2 = 0.65 ev.
Capter 39 Since n L in q 39-4, we see tat if L is doubled, ten becoes (6 ev)() = 065 ev We first note tat since = 666 0 34 J s and c = 998 0 8 /s, 34 8 c6 66 0 J sc 998 0 / s c 40eV n 9 9 60 0 J / ev 0
More informationThe Derivative The rate of change
Calculus Lia Vas Te Derivative Te rate of cange Knowing and understanding te concept of derivative will enable you to answer te following questions. Let us consider a quantity wose size is described by
More informationWYSE Academic Challenge 2004 Sectional Mathematics Solution Set
WYSE Academic Callenge 00 Sectional Matematics Solution Set. Answer: B. Since te equation can be written in te form x + y, we ave a major 5 semi-axis of lengt 5 and minor semi-axis of lengt. Tis means
More informationLIMITATIONS OF EULER S METHOD FOR NUMERICAL INTEGRATION
LIMITATIONS OF EULER S METHOD FOR NUMERICAL INTEGRATION LAURA EVANS.. Introduction Not all differential equations can be explicitly solved for y. Tis can be problematic if we need to know te value of y
More informationConsider a function f we ll specify which assumptions we need to make about it in a minute. Let us reformulate the integral. 1 f(x) dx.
Capter 2 Integrals as sums and derivatives as differences We now switc to te simplest metods for integrating or differentiating a function from its function samples. A careful study of Taylor expansions
More informationThe derivative function
Roberto s Notes on Differential Calculus Capter : Definition of derivative Section Te derivative function Wat you need to know already: f is at a point on its grap and ow to compute it. Wat te derivative
More informationProblem Set 7: Potential Energy and Conservation of Energy AP Physics C Supplementary Problems
Proble Set 7: Potential Energy and Conservation of Energy AP Pysics C Suppleentary Probles 1. Approxiately 5.5 x 10 6 kg of water drops 50 over Niagara Falls every second. (a) Calculate te aount of potential
More informationNumerical Solution for Non-Stationary Heat Equation in Cooling of Computer Radiator System
(JZS) Journal of Zankoy Sulaiani, 9, 1(1) Part A (97-1) A119 Nuerical Solution for Non-Stationary Heat Equation in Cooling of Coputer Radiator Syste Aree A. Maad*, Faraidun K. Haa Sal**, and Najadin W.
More informationUNIVERSITY OF MANITOBA DEPARTMENT OF MATHEMATICS MATH 1510 Applied Calculus I FIRST TERM EXAMINATION - Version A October 12, :30 am
DEPARTMENT OF MATHEMATICS MATH 1510 Applied Calculus I October 12, 2016 8:30 am LAST NAME: FIRST NAME: STUDENT NUMBER: SIGNATURE: (I understand tat ceating is a serious offense DO NOT WRITE IN THIS TABLE
More informationMath 102: A Log-jam. f(x+h) f(x) h. = 10 x ( 10 h 1. = 10x+h 10 x h. = 10x 10 h 10 x h. 2. The hyperbolic cosine function is defined by
Mat 102: A Log-jam 1. If f(x) = 10 x, sow tat f(x+) f(x) ( 10 = 10 x ) 1 f(x+) f(x) = 10x+ 10 x = 10x 10 10 x = 10 x ( 10 1 ) 2. Te yperbolic cosine function is defined by cos(x) = ex +e x 2 Te yperbolic
More informationEffect of Mosquito Repellent on the Transmission Model of Chikungunya Fever
Aerican Journal of Applied Sciences 9 (4): 563-569, ISSN 546-939 Science Publications Effect of Mosquito Repellent on te Transission Model of Cikungunya Fever Surapol Naowarat, Prasit Tongjae and I. Ming
More informationA body of unknown mass is attached to an ideal spring with force constant 123 N/m. It is found to vibrate with a frequency of
Chapter 14 [ Edit ] Overview Suary View Diagnostics View Print View with Answers Chapter 14 Due: 11:59p on Sunday, Noveber 27, 2016 To understand how points are awarded, read the Grading Policy for this
More information1. Which one of the following expressions is not equal to all the others? 1 C. 1 D. 25x. 2. Simplify this expression as much as possible.
004 Algebra Pretest answers and scoring Part A. Multiple coice questions. Directions: Circle te letter ( A, B, C, D, or E ) net to te correct answer. points eac, no partial credit. Wic one of te following
More informationThe distance between City C and City A is just the magnitude of the vector, namely,
Pysics 11 Homework III Solutions C. 3 - Problems 2, 15, 18, 23, 24, 30, 39, 58. Problem 2 So, we fly 200km due west from City A to City B, ten 300km 30 nort of west from City B to City C. (a) We want te
More informationCombining functions: algebraic methods
Combining functions: algebraic metods Functions can be added, subtracted, multiplied, divided, and raised to a power, just like numbers or algebra expressions. If f(x) = x 2 and g(x) = x + 2, clearly f(x)
More informationPeriodic Motion is everywhere
Lecture 19 Goals: Chapter 14 Interrelate the physics and atheatics of oscillations. Draw and interpret oscillatory graphs. Learn the concepts of phase and phase constant. Understand and use energy conservation
More informationPolynomials 3: Powers of x 0 + h
near small binomial Capter 17 Polynomials 3: Powers of + Wile it is easy to compute wit powers of a counting-numerator, it is a lot more difficult to compute wit powers of a decimal-numerator. EXAMPLE
More informationTemporal Model for Dengue Disease with Treatment
dvances in nfectious Diseases, 5, 5, -36 Publised Online Marc 5 in SciRes. ttp://www.scirp.org/journal/aid ttp://dx.doi.org/.436/aid.5.53 Teporal Model for Dengue Disease wit Treatent Laurencia delao Massawe,
More informationUSEFUL HINTS FOR SOLVING PHYSICS OLYMPIAD PROBLEMS. By: Ian Blokland, Augustana Campus, University of Alberta
1 USEFUL HINTS FOR SOLVING PHYSICS OLYMPIAD PROBLEMS By: Ian Bloland, Augustana Capus, University of Alberta For: Physics Olypiad Weeend, April 6, 008, UofA Introduction: Physicists often attept to solve
More information1 Limits and Continuity
1 Limits and Continuity 1.0 Tangent Lines, Velocities, Growt In tion 0.2, we estimated te slope of a line tangent to te grap of a function at a point. At te end of tion 0.3, we constructed a new function
More informationUniversity Mathematics 2
University Matematics 2 1 Differentiability In tis section, we discuss te differentiability of functions. Definition 1.1 Differentiable function). Let f) be a function. We say tat f is differentiable at
More information(a) At what number x = a does f have a removable discontinuity? What value f(a) should be assigned to f at x = a in order to make f continuous at a?
Solutions to Test 1 Fall 016 1pt 1. Te grap of a function f(x) is sown at rigt below. Part I. State te value of eac limit. If a limit is infinite, state weter it is or. If a limit does not exist (but is
More informationA Discrete Model of Three Species Prey- Predator System
ISSN(Online): 39-8753 ISSN (Print): 347-670 (An ISO 397: 007 Certified Organization) Vol. 4, Issue, January 05 A Discrete Model of Three Species Prey- Predator System A.George Maria Selvam, R.Janagaraj
More informationPrediction of Horseshoe Chaos in Duffing-Van Der Pol Oscillator Driven By Different Periodic Forces
RESEARCH INVENTY: International Journal of Engineering and Science ISSN: 78-471, Vol. 1, Issue 5 (October 1), PP 17-5 www.researcinventy.co Prediction of Horsesoe Caos in Duffing-Van Der Pol Oscillator
More informationSFU UBC UNBC Uvic Calculus Challenge Examination June 5, 2008, 12:00 15:00
SFU UBC UNBC Uvic Calculus Callenge Eamination June 5, 008, :00 5:00 Host: SIMON FRASER UNIVERSITY First Name: Last Name: Scool: Student signature INSTRUCTIONS Sow all your work Full marks are given only
More informationTutorial 2 (Solution) 1. An electron is confined to a one-dimensional, infinitely deep potential energy well of width L = 100 pm.
Seester 007/008 SMS0 Modern Pysics Tutorial Tutorial (). An electron is confined to a one-diensional, infinitely deep potential energy well of widt L 00 p. a) Wat is te least energy te electron can ave?
More informationDerivation Of The Schwarzschild Radius Without General Relativity
Derivation Of Te Scwarzscild Radius Witout General Relativity In tis paper I present an alternative metod of deriving te Scwarzscild radius of a black ole. Te metod uses tree of te Planck units formulas:
More informationPractice Problem Solutions: Exam 1
Practice Problem Solutions: Exam 1 1. (a) Algebraic Solution: Te largest term in te numerator is 3x 2, wile te largest term in te denominator is 5x 2 3x 2 + 5. Tus lim x 5x 2 2x 3x 2 x 5x 2 = 3 5 Numerical
More informationAnalysis of Impulsive Natural Phenomena through Finite Difference Methods A MATLAB Computational Project-Based Learning
Analysis of Ipulsive Natural Phenoena through Finite Difference Methods A MATLAB Coputational Project-Based Learning Nicholas Kuia, Christopher Chariah, Mechatronics Engineering, Vaughn College of Aeronautics
More informationSIMG Solution Set #5
SIMG-303-0033 Solution Set #5. Describe completely te state of polarization of eac of te following waves: (a) E [z,t] =ˆxE 0 cos [k 0 z ω 0 t] ŷe 0 cos [k 0 z ω 0 t] Bot components are traveling down te
More informationExercises for numerical differentiation. Øyvind Ryan
Exercises for numerical differentiation Øyvind Ryan February 25, 2013 1. Mark eac of te following statements as true or false. a. Wen we use te approximation f (a) (f (a +) f (a))/ on a computer, we can
More informationMath 312 Lecture Notes Modeling
Mat 3 Lecture Notes Modeling Warren Weckesser Department of Matematics Colgate University 5 7 January 006 Classifying Matematical Models An Example We consider te following scenario. During a storm, a
More information2.1 THE DEFINITION OF DERIVATIVE
2.1 Te Derivative Contemporary Calculus 2.1 THE DEFINITION OF DERIVATIVE 1 Te grapical idea of a slope of a tangent line is very useful, but for some uses we need a more algebraic definition of te derivative
More informationLIMITS AND DERIVATIVES CONDITIONS FOR THE EXISTENCE OF A LIMIT
LIMITS AND DERIVATIVES Te limit of a function is defined as te value of y tat te curve approaces, as x approaces a particular value. Te limit of f (x) as x approaces a is written as f (x) approaces, as
More information821. Study on analysis method for deepwater TTR coupled vibration of parameter vibration and vortex-induced vibration
81. Study on analysis ethod for deepwater TTR coupled vibration of paraeter vibration and vortex-induced vibration Wu Xue-Min 1, Huang Wei-Ping Shandong Key aboratory of Ocean Engineering, Ocean University
More informationSection 15.6 Directional Derivatives and the Gradient Vector
Section 15.6 Directional Derivatives and te Gradient Vector Finding rates of cange in different directions Recall tat wen we first started considering derivatives of functions of more tan one variable,
More informationMVT and Rolle s Theorem
AP Calculus CHAPTER 4 WORKSHEET APPLICATIONS OF DIFFERENTIATION MVT and Rolle s Teorem Name Seat # Date UNLESS INDICATED, DO NOT USE YOUR CALCULATOR FOR ANY OF THESE QUESTIONS In problems 1 and, state
More informationTOPIC E: OSCILLATIONS SPRING 2018
TOPIC E: OSCILLATIONS SPRING 018 1. Introduction 1.1 Overview 1. Degrees of freedo 1.3 Siple haronic otion. Undaped free oscillation.1 Generalised ass-spring syste: siple haronic otion. Natural frequency
More informationEN40: Dynamics and Vibrations. Midterm Examination Tuesday March
EN4: Dynaics and Vibrations Midter Exaination Tuesday March 8 16 School of Engineering Brown University NAME: General Instructions No collaboration of any kind is peritted on this exaination. You ay bring
More informationOutline. MS121: IT Mathematics. Limits & Continuity Rates of Change & Tangents. Is there a limit to how fast a man can run?
Outline MS11: IT Matematics Limits & Continuity & 1 Limits: Atletics Perspective Jon Carroll Scool of Matematical Sciences Dublin City University 3 Atletics Atletics Outline Is tere a limit to ow fast
More information1 Calculus. 1.1 Gradients and the Derivative. Q f(x+h) f(x)
Calculus. Gradients and te Derivative Q f(x+) δy P T δx R f(x) 0 x x+ Let P (x, f(x)) and Q(x+, f(x+)) denote two points on te curve of te function y = f(x) and let R denote te point of intersection of
More informationSolutions Manual for Precalculus An Investigation of Functions
Solutions Manual for Precalculus An Investigation of Functions David Lippman, Melonie Rasmussen 1 st Edition Solutions created at Te Evergreen State College and Soreline Community College 1.1 Solutions
More informationWeek #15 - Word Problems & Differential Equations Section 8.2
Week #1 - Word Problems & Differential Equations Section 8. From Calculus, Single Variable by Huges-Hallett, Gleason, McCallum et. al. Copyrigt 00 by Jon Wiley & Sons, Inc. Tis material is used by permission
More informationPreface. Here are a couple of warnings to my students who may be here to get a copy of what happened on a day that you missed.
Preface Here are my online notes for my course tat I teac ere at Lamar University. Despite te fact tat tese are my class notes, tey sould be accessible to anyone wanting to learn or needing a refreser
More information1. AB Calculus Introduction
1. AB Calculus Introduction Before we get into wat calculus is, ere are several eamples of wat you could do BC (before calculus) and wat you will be able to do at te end of tis course. Eample 1: On April
More informationThe Design and Simulation of Electro-Hydraulic Velocity Control System
Te Design and Siulation of Electro-Hydraulic Velocity Control Syste Fengtao in * Key aboratory of Ministry of Education for Conveyance and Equipent, East Cina Jiaotong University, Nancang 330013, Cina
More informationPhysics 41 HW Set 1 Chapter 15 Serway 7 th Edition
Physics HW Set Chapter 5 Serway 7 th Edition Conceptual Questions:, 3, 5,, 6, 9 Q53 You can take φ = π, or equally well, φ = π At t= 0, the particle is at its turning point on the negative side of equilibriu,
More informationIII.H Zeroth Order Hydrodynamics
III.H Zeroth Order Hydrodynaics As a first approxiation, we shall assue that in local equilibriu, the density f 1 at each point in space can be represented as in eq.iii.56, i.e. f 0 1 p, q, t = n q, t
More informationHORIZONTAL MOTION WITH RESISTANCE
DOING PHYSICS WITH MATLAB MECHANICS HORIZONTAL MOTION WITH RESISTANCE Ian Cooper School of Physics, Uniersity of Sydney ian.cooper@sydney.edu.au DOWNLOAD DIRECTORY FOR MATLAB SCRIPTS ec_fr_b. This script
More information