CURVES: VELOCITY, ACCELERATION, AND LENGTH

Size: px
Start display at page:

Download "CURVES: VELOCITY, ACCELERATION, AND LENGTH"

Transcription

1 CURVES: VELOCITY, ACCELERATION, AND LENGTH As examples of curves, consier the situation where the amounts of n-commoities varies with time t, qt = q 1 t,..., q n t. Thus, the amount of the commoities are functions of time. We can also consier the prices of these commoities as functions of time, pt = p 1 t,..., p n t. Another way that curves can arise in economics is the following. Assume there is a fixe prouction of a single goo Q using inputs of labor L an capital K, Q 0 = FL, K = L K. Let w be the price of labor an r the price of capital. The quantities L, K that minimize cost of prouction epens on the parameters w an r, Lw, r, K w, r = r Q0 /w, wq 0 /r. As the price of labor is varie keeping r = r 0 fixe, a curve of optimal choices Lw, r 0, K w, r 0 = r0 Q 0 /w, wq 0 /r 0 is etermine as a function of the single variable, which is the price of labor. 3.1 Derivatives Definition. Let r : R R n be a ifferentiable function. The position vector at time t is rt. The velocity vector is given by the erivatives of the position vector with respect to time, vt = r t. The spee is the length of the velocity vector, an is a scalar quantity. So, the velocity inclues both the spee an the irection of current motion. The acceleration is the erivative of the velocity an the secon erivative of the position, at = v t = r t. Example 1.2 Circle. As an example, we consier the point on a circle of raius 7 about the origin as a function of time, i.e., the point changes with time. Using polar coorinates, let rt = 7 an θt = 3t, or xt = 7 cos3t an yt = 7 sin3t. We can put the two components together to get the position vector, rt = xt, yt = 7 cos3t, 7 sin3t. The position vector is given as a function of time t, so this way of presenting this circle is calle the parametric form of the circle. The point moves aroun the circle with increasing angle in polar coorinates, so the point moves counter-clockwise: i when t = 0 then r0 = 7, 0; ii when 3t = π /2 or t = π /6 then r π /6 = 0, 7; iii when 3t = π or t = π /3 then r π /3 = -7, 0; ii when 3t = 3π /2 or t = π /2 then r π /2 = 0, -7; iii when 3t = 2π or t = 2π /3 then r 2π /3 = 7, 0 an the point has move once aroun the circle. The velocity vector is vt = -21 sin3t, 21 cos3t. Notice that the velocity is a vector. The spee vt = 21 is a scalar. Finally, the acceleration at = -63 cost, -63 sint is a vector. Notice that for this example rt vt = 0. This says that the velocity vector is perpenicular to the position vector, an is tangent to the circle. We see later that this is a consequences of the fact that rt 2 is a constant. Example Ellipse. By making the coefficients of sine an cosine ifferent, we obtain an ellipse rather than a circle. Consier rt = xt, yt = 4 cost, 3 sint. 1

2 2 CURVES: VELOCITY, ACCELERATION, AND LENGTH Then xt 2 yt 2 + = cos 2 t + sin 2 t = 1, 4 3 so the curve lies on the ellipse with semi-axes of length 4 an 3. Its velocity vector is vt = -4 sint, 3 cost, an its spee is vt = 16 sin 2 t + 9 cos 2 t an is not a constant. In this example the velocity vector is not perpenicular to the position vector, rt vt = -7 sint cost = 0 except at certain times. Example Circular Helix in R 3. For this example let xt = 7 cos3t, yt = 7 sin3t, an zt = 5t. Compare with Examples 1.3 an 1.4 on pages The position vector is rt = 7 cos3t, 7 sin3t, 5t. The x an y coorinate are the same functions as the first example, so the point lies on a cyliner of raius 7 about the z axis. The time to go once aroun the circle is still 2π /3. However, in this time, z 2π /3 = 10π /3 > 0 = z0, so the point moves up in the z-irection. The motion is on what is calle a circular helix. The velocity is vt = r t = -21 sin3t, 21 cos3t, 5. The spee is vt = [ ] = 466, which is a constant. The velocity vector has constant length, but it is not a constant vector since is changes irection. The acceleration is at = v t = r t = -63 cos3t, -63 sin3t, 0. Notice that at = 0 even though the spee is a constant. The acceleration measure both the turning change of irection of the velocity an the change of spee. In this example, at vt = 0, i.e., the acceleration is perpenicular to the velocity. This is a result of the fact that the spee is a constant as we shall see. The tangent line to the curve at the point r π /9 = 7 /2, 73 /2, /9 5π is parallel to the vector v π /9 = /2, 21 1 /2, 5, an is the line x, y, z = 7 /2, 73 /2, /9 5π + t π / /2, 21 /2, 5. Note that we have use the parameter t π /9 so that at t = π /9 the point on the line is the point r π /9. See Proposition 1.3. There are a few rule for the ifferentiations of proucts. If we consier the vectors as single objections, then the prouct rules look very similar to the prouct rule for real value functions. Proposition 1.4. Assume that pt an qt are C 1 curves of vectors in R n an gt is a scalar C 1 function. a. Dot prouct: pt qt = p q + p q. b. Multiplication by a scalar function: gtqt = g tqt + gtq t. c. Cross prouct: If n = 3 an the curves are in R 3, then v w = v w + v w.

3 CURVES: VELOCITY, ACCELERATION, AND LENGTH 3 Proof. a pt qt = p 1tq 1 t + p 2 tq 2 t + p 3 tq 3 t = p 1 q 1 + p 1 q 1 + p 2 q 2 + p 2 q 2 + p 3 q 3 + p 3 q 3 = p q + p q. Thus, the erivative of the ot prouct is the erivative of the first term ot prouct with the secon plus the first term ot prouct with the erivative of the secon. The proof of cases b an c an we leave the proof of c to Exercise 3.1:28. Remark 1. If we consier p as the bunle vector of prices an q as the bunle vector of quantities, then the ot prouct gives the value of the commoities. The erivative pt qt = p q + p q contains two terms: the first gives the change of value ue to the change of prices with the amount of commoities fixe, an the secon gives the change of value ue to the change in the amount of commoities with the prices fixe. We use the rule for the erivative of the ot prouct to prove two of the facts which we illustrate above for examples. Theorem 1.7. Let rt be a C 1 curve of vectors. Then rt = constant if an only if rt an r t are perpenicular for all t. Proof. Using the rule for the erivative of a prouct, [rt rt] = r t rt + rt r t = 2 rt r t. If rt = c for all t, then 0 = c2 = [rt rt] = 2rt r t an rt r t = 0. On the other han, if rt r t = 0, then 0 = 2rt r t = [rt rt] an rt = rt rt must be a constant. Theorem. Let rt be a C 2 curve of vectors an vt = r t. Then, the spee vt = constant if an only if the velocity vt an the acceleration at = v t are perpenicular for all t. Proof. Using again the rule for the erivative of a prouct, [vt vt] = v t vt + vt v t = 2 vt at. If vt = c for all t, then 0 = c2 = [vt vt] = 2vt at, vt at = 0, an these two vectors are perpenicular for all t. On the other han, if vt at = 0, then 0 = 2vt at = [vt vt], an the spee vt = vt vt must be a constant. Remark 2. For the circular helix consiere earlier, the spee is a constant an the acceleration is perpenicular to the velocity as we note.

4 4 CURVES: VELOCITY, ACCELERATION, AND LENGTH Decomposition of the Acceleration cf. 3.2 We give a treatment that avois using the parameterization by arc length an oes not efine curvature. cf. Section 3.2. We are given the two vector quantities of velocity an acceleration. It is natural to breakup the acceleration into the component along vt an the normal component. We shall show that these two components measures the change in spee an the change in irection respectively. Definition. The unit tangent vector is the vector of length one in the irection of the velocity vector, Tt = vt / vt. This gives the irection of motion. The scalar component of acceleration along the velocity is vt at a T t = comp v a =. v The vector component of acceleration along the velocity is vt at a T t = proj v a = a T t Tt = v. v v The vector normal component of the acceleration is a N t = at a T t. The scalar normal component of the acceleration is a N t = at 2 a T t 2 = a N t. Theorem. Let rt be a ifferentiable curve. Then the following hol. a. The change in spee, erivative of the spee, equals the tangential component of the acceleration: vt = a T t. b. The change in irection, erivative of the unit tangent vector, equals the normal component of the acceleration: T t = 1 vt a N t. Proof. The following two calculation using the prouct rule proves the claims: vt = vt vt 1 2 = 1 2 vt vt vt at vt at = vt = a T t. vt T t = vt at at t = vt vt 2 vt 1 = at a T t vt 1 = a N t. vt

5 CURVES: VELOCITY, ACCELERATION, AND LENGTH Anti-erivatives Example 1.6 in Colley, iscusses the way in which the anti-erivative can be applie to vector quantities. We illustrate this process for another example. Example. Assume that r t = 3t 2, t, 2t is known an also that r0 = 1, 2, 3. Since x t = 3t 2, xt = t 3 + C x. Since 1 = x0 = C x, we get that xt = t In a similar way, yt = t2 /2 + 2, an zt = t Combining, we get the vector rt = t 3 + 1, t2 /2 + 2, t We coul o this all in one process by consiering vectors. First, taking the anti-erivative of r t, rt = t 3 + C x, t2 /2 + C y, t 2 + C z. Evaluating at t = 0, Therefore, 1, 2, 3 = r0 = C x, C y, C z. rt = t 3 + 1, t2 /2 + 2, t This example illustrates the fact that if we know the initial position an the velocity at each time then we can etermine the position at each time. Example 1.6. Assume that at = g j, where g is a constant, the gravitational constant. Assume also that r0 = 0 an v0 = v 0 = v 0 cosθi + v 0 sinθj is known. Integrating the vector at once, we get vt = gt j + C. Then, v0 = v 0 = C, so vt = gt j + v 0. Integrating a secon time, we get rt = g 2 t2 j + v 0 t + C 2. Again, taking the values at t = 0, C 2 = r0 = 0, so rt = g 2 t2 j + v 0 t. Roger Ramjet hits the groun again when yt 1 = 0, 0 = yt 1 = g 2 t2 1 + v 0 sinθt 1 t 1 = 2v 0 sinθ. g The horizontal istance travele is xt 1 x0 = v 0 cosθt 1 = 2v2 0 sinθ cosθ g This is maximize for sin2θ = 1, 2θ = π /2, or θ = π /4. = v2 0 sin2θ. g

6 6 CURVES: VELOCITY, ACCELERATION, AND LENGTH 3.2 Length of a Curve We cover the part of Section 3.2 ealing with the length of a curve. Since it is in our textbook, we merely sketch the results. Definition. Let rt be a continuous curve in R 3. The efinitions in R n are similar. The portion of the curve from t = a to t = b is split up into pieces using the points rt i = x i, y i, z i with a = t 0 < t 1 < < t n = b. Letting x i = x i x i 1, y i = y i y i 1, an z i = z i z i 1, the istance between the points rt i 1 an rt i is xi 2 + yi 2 + zi 2. The istance along the curve is probably a bit longer. The length of the curve from t = a to t = b is Lr = lim max t i 0 n i=1 x 2 i + y 2 i + z 2 i, provie the limit exists. When the length exists, the curve is calle rectifiable, an when the limit oes not exist it is calle non-rectifiable. The following is a theorem an not a efinition. Theorem Definition 2.1. Assume that r : [a, b] R 3 is a C 1 curve. Then the curve is rectifiable an Iea of the proof. Lr = = = Lr = lim max t i 0 x b a b a b a r t. [ ] n x 2 i + yi 2 + zi t i i=1 2 + r t, t 2 i y 2 + z 2 Example 2.2. For the helix rt = a cost, a sint, bt, the spee r t = a 2 + b 2, so the length of the curve from t = 0 to t = 2π is 2π 0 a 2 + b 2 = 2π a 2 + b 2. Example. The curve rt = t, t sin 1 /t is non-rectifiable. The velocity is r t = 1, sin 1 /t 1 t cos1 /t an the spee is 1 + sin 2 1 /t 2 t sin1 /t cos 1 /t + 1 cos 2 1 /t t not integrable. 2 that is It is possible to calculate the istance travele up to a given time an etermine the time t in terms of this istance or arc length. The following two examples illustrate this proceure.

7 CURVES: VELOCITY, ACCELERATION, AND LENGTH 7 Example 2.3. If the spee is a constant, as for rt = a cost, a sint, bt, then it is possible to solve for the time as a function of the istance travele: r t = a 2 + b 2 t st = a 2 + b 2 τ = a 2 + b 2 t, t = 0 s a 2 + b 2, Then, the position as a function of the istance travele is s xs = a cos, a sin a 2 + b 2 s, a 2 + b 2 bs. a 2 + b 2 Example 2.4. As given in Example 2.4 in our textbook, for rt = t, 2 2 t2, 1 3 t3, r t = 1, 2 t, t 2, r t = t 2 + t 4 = 1 + t 2, an the length from 0 to t is st = t τ 2 τ = t + t3 3. It is not easy to write t as an explicit function of s, but s = 1 + t2 > 0, so the istance is strictly increasing as a function of t. Therefore, the istance travele etermines the time an the position on the curve. 3.2 The Differential Geometry of Curves Our textbook uses the length of a curve to give a new parameterization using arc length. Using this parametrization, it is possible to efine two geometric quantities, curvature an torsion, that etermine the shape of the curve. I will not ask you to calculate the curvature an torsion. However, you will be hel responsible to using the tangential an normal components of the acceleration. As long as s = v = 0, v = r = r s r s = v v = Tt. s = r s v Thus, the erivative of the position with respect to arc length gives the unit tangent vector. I fin the equation r t = r s s in the book confusing. The book an the usual treatment in ifferential geometry procees to efine some quantities that epen on the shape of the curve an not the spee in which it is traverse. The curvature κ = T s = T v. an

8 8 CURVES: VELOCITY, ACCELERATION, AND LENGTH Because Tt 1, T t is perpenicular to Tt. If T t = 0, then the unit vector in the irection of T t, N = T T T = s T s. is calle the principal normal vector. Completing T an N to a basis of R 3, B = T N. is calle the binormal vector. At each point with T t = 0, the three vectors T, N, B form a basis of R 3. The erivative of B efines the torsion τ by the equation Some proof is require to show that B s B s = -τ N. is a scalar multiple of N.

The Quick Calculus Tutorial

The Quick Calculus Tutorial The Quick Calculus Tutorial This text is a quick introuction into Calculus ieas an techniques. It is esigne to help you if you take the Calculus base course Physics 211 at the same time with Calculus I,

More information

Given three vectors A, B, andc. We list three products with formula (A B) C = B(A C) A(B C); A (B C) =B(A C) C(A B);

Given three vectors A, B, andc. We list three products with formula (A B) C = B(A C) A(B C); A (B C) =B(A C) C(A B); 1.1.4. Prouct of three vectors. Given three vectors A, B, anc. We list three proucts with formula (A B) C = B(A C) A(B C); A (B C) =B(A C) C(A B); a 1 a 2 a 3 (A B) C = b 1 b 2 b 3 c 1 c 2 c 3 where the

More information

88 CHAPTER 2. VECTOR FUNCTIONS. . First, we need to compute T (s). a By definition, r (s) T (s) = 1 a sin s a. sin s a, cos s a

88 CHAPTER 2. VECTOR FUNCTIONS. . First, we need to compute T (s). a By definition, r (s) T (s) = 1 a sin s a. sin s a, cos s a 88 CHAPTER. VECTOR FUNCTIONS.4 Curvature.4.1 Definitions and Examples The notion of curvature measures how sharply a curve bends. We would expect the curvature to be 0 for a straight line, to be very small

More information

Lecture L25-3D Rigid Body Kinematics

Lecture L25-3D Rigid Body Kinematics J. Peraire, S. Winall 16.07 Dynamics Fall 2008 Version 2.0 Lecture L25-3D Rigi Boy Kinematics In this lecture, we consier the motion of a 3D rigi boy. We shall see that in the general three-imensional

More information

Notes on tangents to parabolas

Notes on tangents to parabolas Notes on tangents to parabolas (These are notes for a talk I gave on 2007 March 30.) The point of this talk is not to publicize new results. The most recent material in it is the concept of Bézier curves,

More information

Answers to the Practice Problems for Test 2

Answers to the Practice Problems for Test 2 Answers to the Practice Problems for Test 2 Davi Murphy. Fin f (x) if it is known that x [f(2x)] = x2. By the chain rule, x [f(2x)] = f (2x) 2, so 2f (2x) = x 2. Hence f (2x) = x 2 /2, but the lefthan

More information

Some Comments on the Derivative of a Vector with applications to angular momentum and curvature. E. L. Lady (October 18, 2000)

Some Comments on the Derivative of a Vector with applications to angular momentum and curvature. E. L. Lady (October 18, 2000) Some Comments on the Derivative of a Vector with applications to angular momentum and curvature E. L. Lady (October 18, 2000) Finding the formula in polar coordinates for the angular momentum of a moving

More information

Chapter 2. Parameterized Curves in R 3

Chapter 2. Parameterized Curves in R 3 Chapter 2. Parameterized Curves in R 3 Def. A smooth curve in R 3 is a smooth map σ : (a, b) R 3. For each t (a, b), σ(t) R 3. As t increases from a to b, σ(t) traces out a curve in R 3. In terms of components,

More information

Mannheim curves in the three-dimensional sphere

Mannheim curves in the three-dimensional sphere Mannheim curves in the three-imensional sphere anju Kahraman, Mehmet Öner Manisa Celal Bayar University, Faculty of Arts an Sciences, Mathematics Department, Muraiye Campus, 5, Muraiye, Manisa, urkey.

More information

Example Optimization Problems selected from Section 4.7

Example Optimization Problems selected from Section 4.7 Example Optimization Problems selecte from Section 4.7 19) We are aske to fin the points ( X, Y ) on the ellipse 4x 2 + y 2 = 4 that are farthest away from the point ( 1, 0 ) ; as it happens, this point

More information

Here the units used are radians and sin x = sin(x radians). Recall that sin x and cos x are defined and continuous everywhere and

Here the units used are radians and sin x = sin(x radians). Recall that sin x and cos x are defined and continuous everywhere and Lecture 9 : Derivatives of Trigonometric Functions (Please review Trigonometry uner Algebra/Precalculus Review on the class webpage.) In this section we will look at the erivatives of the trigonometric

More information

Section 3.3. Differentiation of Polynomials and Rational Functions. Difference Equations to Differential Equations

Section 3.3. Differentiation of Polynomials and Rational Functions. Difference Equations to Differential Equations Difference Equations to Differential Equations Section 3.3 Differentiation of Polynomials an Rational Functions In tis section we begin te task of iscovering rules for ifferentiating various classes of

More information

Scalar : Vector : Equal vectors : Negative vectors : Proper vector : Null Vector (Zero Vector): Parallel vectors : Antiparallel vectors :

Scalar : Vector : Equal vectors : Negative vectors : Proper vector : Null Vector (Zero Vector): Parallel vectors : Antiparallel vectors : ELEMENTS OF VECTOS 1 Scalar : physical quantity having only magnitue but not associate with any irection is calle a scalar eg: time, mass, istance, spee, work, energy, power, pressure, temperature, electric

More information

Differentiation of vectors

Differentiation of vectors Chapter 4 Differentiation of vectors 4.1 Vector-valued functions In the previous chapters we have considered real functions of several (usually two) variables f : D R, where D is a subset of R n, where

More information

Math 241, Exam 1 Information.

Math 241, Exam 1 Information. Math 241, Exam 1 Information. 9/24/12, LC 310, 11:15-12:05. Exam 1 will be based on: Sections 12.1-12.5, 14.1-14.3. The corresponding assigned homework problems (see http://www.math.sc.edu/ boylan/sccourses/241fa12/241.html)

More information

Homework 8. problems: 10.40, 10.73, 11.55, 12.43

Homework 8. problems: 10.40, 10.73, 11.55, 12.43 Hoework 8 probles: 0.0, 0.7,.55,. Proble 0.0 A block of ass kg an a block of ass 6 kg are connecte by a assless strint over a pulley in the shape of a soli isk having raius R0.5 an ass M0 kg. These blocks

More information

L 2 : x = s + 1, y = s, z = 4s + 4. 3. Suppose that C has coordinates (x, y, z). Then from the vector equality AC = BD, one has

L 2 : x = s + 1, y = s, z = 4s + 4. 3. Suppose that C has coordinates (x, y, z). Then from the vector equality AC = BD, one has The line L through the points A and B is parallel to the vector AB = 3, 2, and has parametric equations x = 3t + 2, y = 2t +, z = t Therefore, the intersection point of the line with the plane should satisfy:

More information

Parametric Curves. (Com S 477/577 Notes) Yan-Bin Jia. Oct 8, 2015

Parametric Curves. (Com S 477/577 Notes) Yan-Bin Jia. Oct 8, 2015 Parametric Curves (Com S 477/577 Notes) Yan-Bin Jia Oct 8, 2015 1 Introduction A curve in R 2 (or R 3 ) is a differentiable function α : [a,b] R 2 (or R 3 ). The initial point is α[a] and the final point

More information

1.(6pts) Find symmetric equations of the line L passing through the point (2, 5, 1) and perpendicular to the plane x + 3y z = 9.

1.(6pts) Find symmetric equations of the line L passing through the point (2, 5, 1) and perpendicular to the plane x + 3y z = 9. .(6pts Find symmetric equations of the line L passing through the point (, 5, and perpendicular to the plane x + 3y z = 9. (a x = y + 5 3 = z (b x (c (x = ( 5(y 3 = z + (d x (e (x + 3(y 3 (z = 9 = y 3

More information

Lagrangian and Hamiltonian Mechanics

Lagrangian and Hamiltonian Mechanics Lagrangian an Hamiltonian Mechanics D.G. Simpson, Ph.D. Department of Physical Sciences an Engineering Prince George s Community College December 5, 007 Introuction In this course we have been stuying

More information

f(x + h) f(x) h as representing the slope of a secant line. As h goes to 0, the slope of the secant line approaches the slope of the tangent line.

f(x + h) f(x) h as representing the slope of a secant line. As h goes to 0, the slope of the secant line approaches the slope of the tangent line. Derivative of f(z) Dr. E. Jacobs Te erivative of a function is efine as a limit: f (x) 0 f(x + ) f(x) We can visualize te expression f(x+) f(x) as representing te slope of a secant line. As goes to 0,

More information

Calculating Viscous Flow: Velocity Profiles in Rivers and Pipes

Calculating Viscous Flow: Velocity Profiles in Rivers and Pipes previous inex next Calculating Viscous Flow: Velocity Profiles in Rivers an Pipes Michael Fowler, UVa 9/8/1 Introuction In this lecture, we ll erive the velocity istribution for two examples of laminar

More information

A QUICK GUIDE TO THE FORMULAS OF MULTIVARIABLE CALCULUS

A QUICK GUIDE TO THE FORMULAS OF MULTIVARIABLE CALCULUS A QUIK GUIDE TO THE FOMULAS OF MULTIVAIABLE ALULUS ontents 1. Analytic Geometry 2 1.1. Definition of a Vector 2 1.2. Scalar Product 2 1.3. Properties of the Scalar Product 2 1.4. Length and Unit Vectors

More information

Lecture L6 - Intrinsic Coordinates

Lecture L6 - Intrinsic Coordinates S. Widnall, J. Peraire 16.07 Dynamics Fall 2009 Version 2.0 Lecture L6 - Intrinsic Coordinates In lecture L4, we introduced the position, velocity and acceleration vectors and referred them to a fixed

More information

Figure 1.1 Vector A and Vector F

Figure 1.1 Vector A and Vector F CHAPTER I VECTOR QUANTITIES Quantities are anything which can be measured, and stated with number. Quantities in physics are divided into two types; scalar and vector quantities. Scalar quantities have

More information

Solutions to old Exam 1 problems

Solutions to old Exam 1 problems Solutions to old Exam 1 problems Hi students! I am putting this old version of my review for the first midterm review, place and time to be announced. Check for updates on the web site as to which sections

More information

15.2. First-Order Linear Differential Equations. First-Order Linear Differential Equations Bernoulli Equations Applications

15.2. First-Order Linear Differential Equations. First-Order Linear Differential Equations Bernoulli Equations Applications 00 CHAPTER 5 Differential Equations SECTION 5. First-Orer Linear Differential Equations First-Orer Linear Differential Equations Bernoulli Equations Applications First-Orer Linear Differential Equations

More information

20. Product rule, Quotient rule

20. Product rule, Quotient rule 20. Prouct rule, 20.1. Prouct rule Prouct rule, Prouct rule We have seen that the erivative of a sum is the sum of the erivatives: [f(x) + g(x)] = x x [f(x)] + x [(g(x)]. One might expect from this that

More information

MAT 1341: REVIEW II SANGHOON BAEK

MAT 1341: REVIEW II SANGHOON BAEK MAT 1341: REVIEW II SANGHOON BAEK 1. Projections and Cross Product 1.1. Projections. Definition 1.1. Given a vector u, the rectangular (or perpendicular or orthogonal) components are two vectors u 1 and

More information

PROBLEM SET. Practice Problems for Exam #1. Math 2350, Fall 2004. Sept. 30, 2004 ANSWERS

PROBLEM SET. Practice Problems for Exam #1. Math 2350, Fall 2004. Sept. 30, 2004 ANSWERS PROBLEM SET Practice Problems for Exam #1 Math 350, Fall 004 Sept. 30, 004 ANSWERS i Problem 1. The position vector of a particle is given by Rt) = t, t, t 3 ). Find the velocity and acceleration vectors

More information

Vector has a magnitude and a direction. Scalar has a magnitude

Vector has a magnitude and a direction. Scalar has a magnitude Vector has a magnitude and a direction Scalar has a magnitude Vector has a magnitude and a direction Scalar has a magnitude a brick on a table Vector has a magnitude and a direction Scalar has a magnitude

More information

Math 230.01, Fall 2012: HW 1 Solutions

Math 230.01, Fall 2012: HW 1 Solutions Math 3., Fall : HW Solutions Problem (p.9 #). Suppose a wor is picke at ranom from this sentence. Fin: a) the chance the wor has at least letters; SOLUTION: All wors are equally likely to be chosen. The

More information

Section 11.1: Vectors in the Plane. Suggested Problems: 1, 5, 9, 17, 23, 25-37, 40, 42, 44, 45, 47, 50

Section 11.1: Vectors in the Plane. Suggested Problems: 1, 5, 9, 17, 23, 25-37, 40, 42, 44, 45, 47, 50 Section 11.1: Vectors in the Plane Page 779 Suggested Problems: 1, 5, 9, 17, 3, 5-37, 40, 4, 44, 45, 47, 50 Determine whether the following vectors a and b are perpendicular. 5) a = 6, 0, b = 0, 7 Recall

More information

1. the acceleration of the body decreases by. 2. the acceleration of the body increases by. 3. the body falls 9.8 m during each second.

1. the acceleration of the body decreases by. 2. the acceleration of the body increases by. 3. the body falls 9.8 m during each second. Answer, Key Homework 3 Davi McIntyre 45123 Mar 25, 2004 1 This print-out shoul have 21 questions. Multiple-choice questions may continue on the next column or pae fin all choices before makin your selection.

More information

Calculus Refresher, version 2008.4. c 1997-2008, Paul Garrett, garrett@math.umn.edu http://www.math.umn.edu/ garrett/

Calculus Refresher, version 2008.4. c 1997-2008, Paul Garrett, garrett@math.umn.edu http://www.math.umn.edu/ garrett/ Calculus Refresher, version 2008.4 c 997-2008, Paul Garrett, garrett@math.umn.eu http://www.math.umn.eu/ garrett/ Contents () Introuction (2) Inequalities (3) Domain of functions (4) Lines (an other items

More information

Introduction to Integration Part 1: Anti-Differentiation

Introduction to Integration Part 1: Anti-Differentiation Mathematics Learning Centre Introuction to Integration Part : Anti-Differentiation Mary Barnes c 999 University of Syney Contents For Reference. Table of erivatives......2 New notation.... 2 Introuction

More information

Parametric Equations and the Parabola (Extension 1)

Parametric Equations and the Parabola (Extension 1) Parametric Equations and the Parabola (Extension 1) Parametric Equations Parametric equations are a set of equations in terms of a parameter that represent a relation. Each value of the parameter, when

More information

Elliptic Functions sn, cn, dn, as Trigonometry W. Schwalm, Physics, Univ. N. Dakota

Elliptic Functions sn, cn, dn, as Trigonometry W. Schwalm, Physics, Univ. N. Dakota Elliptic Functions sn, cn, n, as Trigonometry W. Schwalm, Physics, Univ. N. Dakota Backgroun: Jacobi iscovere that rather than stuying elliptic integrals themselves, it is simpler to think of them as inverses

More information

COMPLEX NUMBERS AND SERIES. Contents

COMPLEX NUMBERS AND SERIES. Contents COMPLEX NUMBERS AND SERIES MIKE BOYLE Contents 1. Complex Numbers Definition 1.1. A complex number is a number z of the form z = x + iy, where x and y are real numbers, and i is another number such that

More information

Chapter 4: Elasticity

Chapter 4: Elasticity Chapter : Elasticity Elasticity of eman: It measures the responsiveness of quantity emane (or eman) with respect to changes in its own price (or income or the price of some other commoity). Why is Elasticity

More information

Review Sheet for Test 1

Review Sheet for Test 1 Review Sheet for Test 1 Math 261-00 2 6 2004 These problems are provided to help you study. The presence of a problem on this handout does not imply that there will be a similar problem on the test. And

More information

Line and surface integrals: Solutions

Line and surface integrals: Solutions hapter 5 Line and surface integrals: olutions Example 5.1 Find the work done by the force F(x, y) x 2 i xyj in moving a particle along the curve which runs from (1, ) to (, 1) along the unit circle and

More information

1.3. DOT PRODUCT 19. 6. If θ is the angle (between 0 and π) between two non-zero vectors u and v,

1.3. DOT PRODUCT 19. 6. If θ is the angle (between 0 and π) between two non-zero vectors u and v, 1.3. DOT PRODUCT 19 1.3 Dot Product 1.3.1 Definitions and Properties The dot product is the first way to multiply two vectors. The definition we will give below may appear arbitrary. But it is not. It

More information

We can display an object on a monitor screen in three different computer-model forms: Wireframe model Surface Model Solid model

We can display an object on a monitor screen in three different computer-model forms: Wireframe model Surface Model Solid model CHAPTER 4 CURVES 4.1 Introduction In order to understand the significance of curves, we should look into the types of model representations that are used in geometric modeling. Curves play a very significant

More information

Fluid Pressure and Fluid Force

Fluid Pressure and Fluid Force 0_0707.q //0 : PM Page 07 SECTION 7.7 Section 7.7 Flui Pressure an Flui Force 07 Flui Pressure an Flui Force Fin flui pressure an flui force. Flui Pressure an Flui Force Swimmers know that the eeper an

More information

Mathematics. Circles. hsn.uk.net. Higher. Contents. Circles 119 HSN22400

Mathematics. Circles. hsn.uk.net. Higher. Contents. Circles 119 HSN22400 hsn.uk.net Higher Mathematics UNIT OUTCOME 4 Circles Contents Circles 119 1 Representing a Circle 119 Testing a Point 10 3 The General Equation of a Circle 10 4 Intersection of a Line an a Circle 1 5 Tangents

More information

Math 229 Lecture Notes: Product and Quotient Rules Professor Richard Blecksmith richard@math.niu.edu

Math 229 Lecture Notes: Product and Quotient Rules Professor Richard Blecksmith richard@math.niu.edu Mat 229 Lecture Notes: Prouct an Quotient Rules Professor Ricar Blecksmit ricar@mat.niu.eu 1. Time Out for Notation Upate It is awkwar to say te erivative of x n is nx n 1 Using te prime notation for erivatives,

More information

( 1)2 + 2 2 + 2 2 = 9 = 3 We would like to make the length 6. The only vectors in the same direction as v are those

( 1)2 + 2 2 + 2 2 = 9 = 3 We would like to make the length 6. The only vectors in the same direction as v are those 1.(6pts) Which of the following vectors has the same direction as v 1,, but has length 6? (a), 4, 4 (b),, (c) 4,, 4 (d), 4, 4 (e) 0, 6, 0 The length of v is given by ( 1) + + 9 3 We would like to make

More information

Chapter 17. Review. 1. Vector Fields (Section 17.1)

Chapter 17. Review. 1. Vector Fields (Section 17.1) hapter 17 Review 1. Vector Fields (Section 17.1) There isn t much I can say in this section. Most of the material has to do with sketching vector fields. Please provide some explanation to support your

More information

Exponential Functions: Differentiation and Integration. The Natural Exponential Function

Exponential Functions: Differentiation and Integration. The Natural Exponential Function 46_54.q //4 :59 PM Page 5 5 CHAPTER 5 Logarithmic, Eponential, an Other Transcenental Functions Section 5.4 f () = e f() = ln The inverse function of the natural logarithmic function is the natural eponential

More information

An intertemporal model of the real exchange rate, stock market, and international debt dynamics: policy simulations

An intertemporal model of the real exchange rate, stock market, and international debt dynamics: policy simulations This page may be remove to conceal the ientities of the authors An intertemporal moel of the real exchange rate, stock market, an international ebt ynamics: policy simulations Saziye Gazioglu an W. Davi

More information

Section 1.1. Introduction to R n

Section 1.1. Introduction to R n The Calculus of Functions of Several Variables Section. Introduction to R n Calculus is the study of functional relationships and how related quantities change with each other. In your first exposure to

More information

Inverse Trig Functions

Inverse Trig Functions Inverse Trig Functions c A Math Support Center Capsule February, 009 Introuction Just as trig functions arise in many applications, so o the inverse trig functions. What may be most surprising is that

More information

The Concept of the Effective Mass Tensor in GR. The Equation of Motion

The Concept of the Effective Mass Tensor in GR. The Equation of Motion The Concept of the Effective Mass Tensor in GR The Equation of Motion Mirosław J. Kubiak Zespół Szkół Technicznych, Gruziąz, Polan Abstract: In the papers [, ] we presente the concept of the effective

More information

y or f (x) to determine their nature.

y or f (x) to determine their nature. Level C5 of challenge: D C5 Fining stationar points of cubic functions functions Mathematical goals Starting points Materials require Time neee To enable learners to: fin the stationar points of a cubic

More information

Solutions to Practice Problems for Test 4

Solutions to Practice Problems for Test 4 olutions to Practice Problems for Test 4 1. Let be the line segmentfrom the point (, 1, 1) to the point (,, 3). Evaluate the line integral y ds. Answer: First, we parametrize the line segment from (, 1,

More information

f(x) = a x, h(5) = ( 1) 5 1 = 2 2 1

f(x) = a x, h(5) = ( 1) 5 1 = 2 2 1 Exponential Functions an their Derivatives Exponential functions are functions of the form f(x) = a x, where a is a positive constant referre to as the base. The functions f(x) = x, g(x) = e x, an h(x)

More information

To differentiate logarithmic functions with bases other than e, use

To differentiate logarithmic functions with bases other than e, use To ifferentiate logarithmic functions with bases other than e, use 1 1 To ifferentiate logarithmic functions with bases other than e, use log b m = ln m ln b 1 To ifferentiate logarithmic functions with

More information

Differentiability of Exponential Functions

Differentiability of Exponential Functions Differentiability of Exponential Functions Philip M. Anselone an John W. Lee Philip Anselone (panselone@actionnet.net) receive his Ph.D. from Oregon State in 1957. After a few years at Johns Hopkins an

More information

Vector Spaces; the Space R n

Vector Spaces; the Space R n Vector Spaces; the Space R n Vector Spaces A vector space (over the real numbers) is a set V of mathematical entities, called vectors, U, V, W, etc, in which an addition operation + is defined and in which

More information

APPLICATION OF CALCULUS IN COMMERCE AND ECONOMICS

APPLICATION OF CALCULUS IN COMMERCE AND ECONOMICS Application of Calculus in Commerce an Economics 41 APPLICATION OF CALCULUS IN COMMERCE AND ECONOMICS æ We have learnt in calculus that when 'y' is a function of '', the erivative of y w.r.to i.e. y ö

More information

GRAPHING IN POLAR COORDINATES SYMMETRY

GRAPHING IN POLAR COORDINATES SYMMETRY GRAPHING IN POLAR COORDINATES SYMMETRY Recall from Algebra and Calculus I that the concept of symmetry was discussed using Cartesian equations. Also remember that there are three types of symmetry - y-axis,

More information

CURVES ANDRÉ NEVES. that is, the curve α has finite length. v = p q p q. a i.e., the curve of smallest length connecting p to q is a straight line.

CURVES ANDRÉ NEVES. that is, the curve α has finite length. v = p q p q. a i.e., the curve of smallest length connecting p to q is a straight line. CURVES ANDRÉ NEVES 1. Problems (1) (Ex 1 of 1.3 of Do Crmo) Show tht the tngent line to the curve α(t) (3t, 3t 2, 2t 3 ) mkes constnt ngle with the line z x, y. (2) (Ex 6 of 1.3 of Do Crmo) Let α(t) (e

More information

MASSACHUSETTS INSTITUTE OF TECHNOLOGY 6.436J/15.085J Fall 2008 Lecture 14 10/27/2008 MOMENT GENERATING FUNCTIONS

MASSACHUSETTS INSTITUTE OF TECHNOLOGY 6.436J/15.085J Fall 2008 Lecture 14 10/27/2008 MOMENT GENERATING FUNCTIONS MASSACHUSETTS INSTITUTE OF TECHNOLOGY 6.436J/15.085J Fall 2008 Lecture 14 10/27/2008 MOMENT GENERATING FUNCTIONS Contents 1. Moment generating functions 2. Sum of a ranom number of ranom variables 3. Transforms

More information

How To Find Out How To Calculate Volume Of A Sphere

How To Find Out How To Calculate Volume Of A Sphere Contents High-Dimensional Space. Properties of High-Dimensional Space..................... 4. The High-Dimensional Sphere......................... 5.. The Sphere an the Cube in Higher Dimensions...........

More information

Math 21a Curl and Divergence Spring, 2009. 1 Define the operator (pronounced del ) by. = i

Math 21a Curl and Divergence Spring, 2009. 1 Define the operator (pronounced del ) by. = i Math 21a url and ivergence Spring, 29 1 efine the operator (pronounced del by = i j y k z Notice that the gradient f (or also grad f is just applied to f (a We define the divergence of a vector field F,

More information

Definition: A vector is a directed line segment that has and. Each vector has an initial point and a terminal point.

Definition: A vector is a directed line segment that has and. Each vector has an initial point and a terminal point. 6.1 Vectors in the Plane PreCalculus 6.1 VECTORS IN THE PLANE Learning Targets: 1. Find the component form and the magnitude of a vector.. Perform addition and scalar multiplication of two vectors. 3.

More information

Readings this week. 1 Parametric Equations Supplement. 2 Section 10.1. 3 Sections 2.1-2.2. Professor Christopher Hoffman Math 124

Readings this week. 1 Parametric Equations Supplement. 2 Section 10.1. 3 Sections 2.1-2.2. Professor Christopher Hoffman Math 124 Readings this week 1 Parametric Equations Supplement 2 Section 10.1 3 Sections 2.1-2.2 Precalculus Review Quiz session Thursday equations of lines and circles worksheet available at http://www.math.washington.edu/

More information

Numerical Solution of Differential Equations

Numerical Solution of Differential Equations Numerical Solution of Differential Equations Dr. Alvaro Islas Applications of Calculus I Spring 2008 We live in a world in constant change We live in a world in constant change We live in a world in constant

More information

Sections 3.1/3.2: Introducing the Derivative/Rules of Differentiation

Sections 3.1/3.2: Introducing the Derivative/Rules of Differentiation Sections 3.1/3.2: Introucing te Derivative/Rules of Differentiation 1 Tangent Line Before looking at te erivative, refer back to Section 2.1, looking at average velocity an instantaneous velocity. Here

More information

Tracking Control of a Class of Hamiltonian Mechanical Systems with Disturbances

Tracking Control of a Class of Hamiltonian Mechanical Systems with Disturbances Proceeings of Australasian Conference on Robotics an Automation, -4 Dec 4, The University of Melbourne, Melbourne, Australia Tracking Control of a Class of Hamiltonian Mechanical Systems with Disturbances

More information

The Math Circle, Spring 2004

The Math Circle, Spring 2004 The Math Circle, Spring 2004 (Talks by Gordon Ritter) What is Non-Euclidean Geometry? Most geometries on the plane R 2 are non-euclidean. Let s denote arc length. Then Euclidean geometry arises from the

More information

Scalar Valued Functions of Several Variables; the Gradient Vector

Scalar Valued Functions of Several Variables; the Gradient Vector Scalar Valued Functions of Several Variables; the Gradient Vector Scalar Valued Functions vector valued function of n variables: Let us consider a scalar (i.e., numerical, rather than y = φ(x = φ(x 1,

More information

Reading: Ryden chs. 3 & 4, Shu chs. 15 & 16. For the enthusiasts, Shu chs. 13 & 14.

Reading: Ryden chs. 3 & 4, Shu chs. 15 & 16. For the enthusiasts, Shu chs. 13 & 14. 7 Shocks Reaing: Ryen chs 3 & 4, Shu chs 5 & 6 For the enthusiasts, Shu chs 3 & 4 A goo article for further reaing: Shull & Draine, The physics of interstellar shock waves, in Interstellar processes; Proceeings

More information

Lagrange s equations of motion for oscillating central-force field

Lagrange s equations of motion for oscillating central-force field Theoretical Mathematics & Applications, vol.3, no., 013, 99-115 ISSN: 179-9687 (print), 179-9709 (online) Scienpress Lt, 013 Lagrange s equations of motion for oscillating central-force fiel A.E. Eison

More information

i( t) L i( t) 56mH 1.1A t = τ ln 1 = ln 1 ln 1 6.67ms

i( t) L i( t) 56mH 1.1A t = τ ln 1 = ln 1 ln 1 6.67ms Exam III PHY 49 Summer C July 16, 8 1. In the circuit shown, L = 56 mh, R = 4.6 Ω an V = 1. V. The switch S has been open for a long time then is suenly close at t =. At what value of t (in msec) will

More information

The wave equation is an important tool to study the relation between spectral theory and geometry on manifolds. Let U R n be an open set and let

The wave equation is an important tool to study the relation between spectral theory and geometry on manifolds. Let U R n be an open set and let 1. The wave equation The wave equation is an important tool to stuy the relation between spectral theory an geometry on manifols. Let U R n be an open set an let = n j=1 be the Eucliean Laplace operator.

More information

Double Integrals in Polar Coordinates

Double Integrals in Polar Coordinates Double Integrals in Polar Coorinates Part : The Area Di erential in Polar Coorinates We can also aly the change of variable formula to the olar coorinate transformation x = r cos () ; y = r sin () However,

More information

Physics 235 Chapter 1. Chapter 1 Matrices, Vectors, and Vector Calculus

Physics 235 Chapter 1. Chapter 1 Matrices, Vectors, and Vector Calculus Chapter 1 Matrices, Vectors, and Vector Calculus In this chapter, we will focus on the mathematical tools required for the course. The main concepts that will be covered are: Coordinate transformations

More information

Mathematics Review for Economists

Mathematics Review for Economists Mathematics Review for Economists by John E. Floy University of Toronto May 9, 2013 This ocument presents a review of very basic mathematics for use by stuents who plan to stuy economics in grauate school

More information

Vector Algebra II: Scalar and Vector Products

Vector Algebra II: Scalar and Vector Products Chapter 2 Vector Algebra II: Scalar and Vector Products We saw in the previous chapter how vector quantities may be added and subtracted. In this chapter we consider the products of vectors and define

More information

Physics 1120: Simple Harmonic Motion Solutions

Physics 1120: Simple Harmonic Motion Solutions Questions: 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 Physics 1120: Simple Harmonic Motion Solutions 1. A 1.75 kg particle moves as function of time as follows: x = 4cos(1.33t+π/5) where distance is measured

More information

28 CHAPTER 1. VECTORS AND THE GEOMETRY OF SPACE. v x. u y v z u z v y u y u z. v y v z

28 CHAPTER 1. VECTORS AND THE GEOMETRY OF SPACE. v x. u y v z u z v y u y u z. v y v z 28 CHAPTER 1. VECTORS AND THE GEOMETRY OF SPACE 1.4 Cross Product 1.4.1 Definitions The cross product is the second multiplication operation between vectors we will study. The goal behind the definition

More information

Biggar High School Mathematics Department. National 5 Learning Intentions & Success Criteria: Assessing My Progress

Biggar High School Mathematics Department. National 5 Learning Intentions & Success Criteria: Assessing My Progress Biggar High School Mathematics Department National 5 Learning Intentions & Success Criteria: Assessing My Progress Expressions & Formulae Topic Learning Intention Success Criteria I understand this Approximation

More information

3 Contour integrals and Cauchy s Theorem

3 Contour integrals and Cauchy s Theorem 3 ontour integrals and auchy s Theorem 3. Line integrals of complex functions Our goal here will be to discuss integration of complex functions = u + iv, with particular regard to analytic functions. Of

More information

Figure 2.1: Center of mass of four points.

Figure 2.1: Center of mass of four points. Chapter 2 Bézier curves are named after their inventor, Dr. Pierre Bézier. Bézier was an engineer with the Renault car company and set out in the early 196 s to develop a curve formulation which would

More information

DIFFRACTION AND INTERFERENCE

DIFFRACTION AND INTERFERENCE DIFFRACTION AND INTERFERENCE In this experiment you will emonstrate the wave nature of light by investigating how it bens aroun eges an how it interferes constructively an estructively. You will observe

More information

Trigonometric Functions and Equations

Trigonometric Functions and Equations Contents Trigonometric Functions and Equations Lesson 1 Reasoning with Trigonometric Functions Investigations 1 Proving Trigonometric Identities... 271 2 Sum and Difference Identities... 276 3 Extending

More information

Precalculus REVERSE CORRELATION. Content Expectations for. Precalculus. Michigan CONTENT EXPECTATIONS FOR PRECALCULUS CHAPTER/LESSON TITLES

Precalculus REVERSE CORRELATION. Content Expectations for. Precalculus. Michigan CONTENT EXPECTATIONS FOR PRECALCULUS CHAPTER/LESSON TITLES Content Expectations for Precalculus Michigan Precalculus 2011 REVERSE CORRELATION CHAPTER/LESSON TITLES Chapter 0 Preparing for Precalculus 0-1 Sets There are no state-mandated Precalculus 0-2 Operations

More information

ISSN: 2277-3754 ISO 9001:2008 Certified International Journal of Engineering and Innovative Technology (IJEIT) Volume 3, Issue 12, June 2014

ISSN: 2277-3754 ISO 9001:2008 Certified International Journal of Engineering and Innovative Technology (IJEIT) Volume 3, Issue 12, June 2014 ISSN: 77-754 ISO 900:008 Certifie International Journal of Engineering an Innovative echnology (IJEI) Volume, Issue, June 04 Manufacturing process with isruption uner Quaratic Deman for Deteriorating Inventory

More information

NEW YORK STATE TEACHER CERTIFICATION EXAMINATIONS

NEW YORK STATE TEACHER CERTIFICATION EXAMINATIONS NEW YORK STATE TEACHER CERTIFICATION EXAMINATIONS TEST DESIGN AND FRAMEWORK September 2014 Authorized for Distribution by the New York State Education Department This test design and framework document

More information

v w is orthogonal to both v and w. the three vectors v, w and v w form a right-handed set of vectors.

v w is orthogonal to both v and w. the three vectors v, w and v w form a right-handed set of vectors. 3. Cross product Definition 3.1. Let v and w be two vectors in R 3. The cross product of v and w, denoted v w, is the vector defined as follows: the length of v w is the area of the parallelogram with

More information

State of Louisiana Office of Information Technology. Change Management Plan

State of Louisiana Office of Information Technology. Change Management Plan State of Louisiana Office of Information Technology Change Management Plan Table of Contents Change Management Overview Change Management Plan Key Consierations Organizational Transition Stages Change

More information

Exam 1 Sample Question SOLUTIONS. y = 2x

Exam 1 Sample Question SOLUTIONS. y = 2x Exam Sample Question SOLUTIONS. Eliminate the parameter to find a Cartesian equation for the curve: x e t, y e t. SOLUTION: You might look at the coordinates and notice that If you don t see it, we can

More information

11.1. Objectives. Component Form of a Vector. Component Form of a Vector. Component Form of a Vector. Vectors and the Geometry of Space

11.1. Objectives. Component Form of a Vector. Component Form of a Vector. Component Form of a Vector. Vectors and the Geometry of Space 11 Vectors and the Geometry of Space 11.1 Vectors in the Plane Copyright Cengage Learning. All rights reserved. Copyright Cengage Learning. All rights reserved. 2 Objectives! Write the component form of

More information

Sensor Network Localization from Local Connectivity : Performance Analysis for the MDS-MAP Algorithm

Sensor Network Localization from Local Connectivity : Performance Analysis for the MDS-MAP Algorithm Sensor Network Localization from Local Connectivity : Performance Analysis for the MDS-MAP Algorithm Sewoong Oh an Anrea Montanari Electrical Engineering an Statistics Department Stanfor University, Stanfor,

More information

12.5 Equations of Lines and Planes

12.5 Equations of Lines and Planes Instructor: Longfei Li Math 43 Lecture Notes.5 Equations of Lines and Planes What do we need to determine a line? D: a point on the line: P 0 (x 0, y 0 ) direction (slope): k 3D: a point on the line: P

More information

TOPIC 4: DERIVATIVES

TOPIC 4: DERIVATIVES TOPIC 4: DERIVATIVES 1. The derivative of a function. Differentiation rules 1.1. The slope of a curve. The slope of a curve at a point P is a measure of the steepness of the curve. If Q is a point on the

More information

Planar Curve Intersection

Planar Curve Intersection Chapter 7 Planar Curve Intersection Curve intersection involves finding the points at which two planar curves intersect. If the two curves are parametric, the solution also identifies the parameter values

More information

Graphs of Polar Equations

Graphs of Polar Equations Graphs of Polar Equations In the last section, we learned how to graph a point with polar coordinates (r, θ). We will now look at graphing polar equations. Just as a quick review, the polar coordinate

More information