4.1 Analysis of functions I: Increase, decrease and concavity Definition Let f be defined on an interval and let x1 and x2 denote points in that interval. a) f is said to be increasing on the interval if f (x1 ) < f (x2 ) whenever x1 < x2 b) f is said to be decreasing on the interval if f (x1 ) > f (x2 ) whenever x1 < x2 PR (FIU) MAC 2311 1 / 85 Theorem Let f be a function that is continuous on a closed interval [a, b] and differentiable on the open interval (a, b) a) If f 0 (x) > 0 for every value of x in (a, b), then f is increasing on [a, b]. b) If f 0 (x) < 0 for every value of x in (a, b), then f is decreasing on [a, b] c) If f 0 (x) = 0 for every value of x in (a, b), then f is constant on [a, b] PR (FIU) MAC 2311 2 / 85 Example: Find where f (x) = x 2 − 5x + 6 is increasing, decreasing or constant. f 0 (x) = 2x − 5 x f 0 (x) f(x) PR (FIU) & 0 - 5 2 & MAC 2311 0 + % 3 / 85 Example: Find where f (x) = x 2 − 5x + 6 is increasing, decreasing or constant. f 0 (x) = 2x − 5 x f 0 (x) f(x) & 0 - 5 2 & 0 + % f (x) = x 2 − 5x + 6 is decreasing on (−∞, 52 ] and increasing on [ 25 , +∞). It is nowhere constant! PR (FIU) MAC 2311 3 / 85 Concavity Concave up: The slope of tangent lines is increasing. Equivalently, the derivative function f 0 (x) is increasing, that is (f 0 )0 (x) = f 00 (x) > 0 PR (FIU) MAC 2311 4 / 85 Concavity Concave up: The slope of tangent lines is increasing. Equivalently, the derivative function f 0 (x) is increasing, that is (f 0 )0 (x) = f 00 (x) > 0 Concave down: The slope of tangent lines is decreasing. Equivalently, the derivative function f 0 (x) is decreasing, that is (f 0 )0 (x) = f 00 (x) < 0 PR (FIU) MAC 2311 4 / 85 Theorem a) If f 00 (x) > 0 on an open interval (a, b), then the graph of f is concave up on (a, b). PR (FIU) MAC 2311 5 / 85 Theorem a) If f 00 (x) > 0 on an open interval (a, b), then the graph of f is concave up on (a, b). b) If f 00 (x) < 0 on an open interval (a, b), then the graph of f is concave down on (a, b). PR (FIU) MAC 2311 5 / 85 Example: Find where f (x) = 3x 3 − 4x + 3 is concave up or concave down. PR (FIU) MAC 2311 6 / 85 Example: Find where f (x) = 3x 3 − 4x + 3 is concave up or concave down. f 0 (x) = 9x 2 − 4 f 00 (x) = 18x x f 00 (x) f(x) PR (FIU) a MAC 2311 0 0 + ` 6 / 85 The graph of f is concave up on (0, +∞). It is concave down on (−∞, 0). PR (FIU) MAC 2311 7 / 85 The graph of f is concave up on (0, +∞). It is concave down on (−∞, 0). Definition If f is continuous on an open interval containing x0 and if the graph of f changes the direction of its concavity at x0 , then the point (x0 , f (x0 )) on the graph of f is called an inflection point of f . PR (FIU) MAC 2311 7 / 85 Example: Find the largest intervals on which f (x) = 3x 4 − 4x 3 is increasing, decreasing; find the largest open intervals on which f is concave up, concave down and find the x coordinates of all inflection points. PR (FIU) MAC 2311 8 / 85 f 0 (x) = 12x 2 (x − 1) f 00 (x) = 12x(3x − 2) PR (FIU) MAC 2311 9 / 85 f 0 (x) = 12x 2 (x − 1) f 00 (x) = 12x(3x − 2) x 12x 2 x-1 f 0 (x) 12x 3x-2 f 00 (x) f(x) PR (FIU) + + & ` 0 0 0 0 0 2 3 + + & a MAC 2311 + + 0 0 + + + + & ` 1 + 0 0 + + + + + + + + + % ` 9 / 85 The function f is increasing on [1, +∞), decreasing on (−∞, 1]. Its graph is concave up on (−∞, 0] and [ 23 , +∞) concave down on (0, 32 ). The graph has an inflection point at x = 0 and x = 32 . PR (FIU) MAC 2311 10 / 85 4.2 Analysis of functions II: Relative extrema, graphing polynomials A critical point for a function f is any value of x in the domain of f at which f 0 (x) = 0 or at which f is not differentiable. Recall an earlier statement that relative extrema of a function f can occur only at critical points. If f has a relative extremum at x0 , then either f 0 (x0 ) = 0 or f is not differentiable at x0 ; in other words, x0 is a critical point. PR (FIU) MAC 2311 11 / 85 Example 1. f (x) = x 2 − 5x + 6. Since f 0 (x) = 2x − 5 is defined everywhere and 2x − 5 = 0 if and only if x = 52 , we conclude that f can have a relative extremum only at x = 52 and nowhere else! PR (FIU) MAC 2311 12 / 85 Example 1. f (x) = x 2 − 5x + 6. Since f 0 (x) = 2x − 5 is defined everywhere and 2x − 5 = 0 if and only if x = 52 , we conclude that f can have a relative extremum only at x = 52 and nowhere else! Example 2. f (x) = 0 ( x f (x) = if x ≥ 0 −x if x < 0 ( 1 if x>0 −1 if x<0 f 0 (x) is undefined at x = 0 and it is nowhere zero, so f can have a relative extremum only at x = 0. PR (FIU) MAC 2311 12 / 85 First derivative test Suppose f is continuous at a critical point x0 . a) If f 0 (x) > 0 on an open interval extending left from x0 and f 0 (x) < 0 on an open interval extending right from x0 , then f has a relative maximum at x0 . b) If f 0 (x) < 0 on an open interval extending left from x0 and f 0 (x) > 0 on an open interval extending right from x0 , then f has a relative minimum at x0 . PR (FIU) MAC 2311 13 / 85 Example f (x) = 4x 2 + 2x − 5 f 0 (x) = 8x + 2 f 0 (x) = 0 ⇔ x = − 14 x f 0 (x) f(x) & - 14 0 0 + % + f (x) has a relative minimum at x = − 14 . PR (FIU) MAC 2311 14 / 85 Example: f (x) = x 3 + 3x 2 − 9x + 1 f 0 (x) = 3(x − 1)(x + 3) f 0 (x) = 0 ⇔ x = 1 or x = −3. PR (FIU) MAC 2311 15 / 85 x f 0 (x) f(x) + % -3 0 0 & & 1 0 + % f (x) has a relative maximum at x = −3, a relative minimum at x = 1. PR (FIU) MAC 2311 16 / 85 Example f (x) = x 3 f 0 (x) = 3x 2 f 0 (x) = 0 ⇔ x = 0 x f 0 (x) f(x) + % 0 0 + % f (x) has no relative extremum. PR (FIU) MAC 2311 17 / 85 Second derivative test At a relative maximum, the graph of the function f is concave down, so as seen before, the second derivative should be negative at this point. Similarly, at a relative minimum, the graph is concave up, therefore the second derivative should be positive at such a point. Theorem Suppose f is twice differentiable at a stationary point x0 (that is f 0 (x0 ) = 0. Then: a) If f 00 (x0 ) > 0, then f has a relative minimum at x0 . b) If f 00 (x0 ) < 0, then f has a relative maximum at x0 . PR (FIU) MAC 2311 18 / 85 Example f (x) = 2x 3 − 3x 2 − 3 f 0 (x) = 6x 2 − 6x = 6x(x − 1) f 0 (x) = 0 ⇔ x = 0 or x = 1 x = 0 and x = 1 are stationary points. f 00 (x) = 12x − 6 Since f 00 (0) = −6 < 0, f (x) has a relative maximum at x = 0; and since f 00 (1) = 6 > 0, f (x) has a relative minimum at x = 1. PR (FIU) MAC 2311 19 / 85 Simple curve sketching. Information to be included on the graphs X and Y intercepts. Critical points, relative extrema. Increasing, decreasing behavior. Concavity, inflection points. Behavior at ±∞ PR (FIU) MAC 2311 20 / 85 Example Graph f (x) = x(x 2 − 1)2 . X intercepts: Solve 0 = x(x 2 − 1)2 x=0, x=±1 Y intercept: Evaluate f (0) = 0. So y = 0. lim f (x) = +∞ x→+∞ lim f (x) = −∞ x→−∞ f 0 (x) = (x 2 − 1)(5x 2 − 1) The critical points are x = ±1, x = ± √15 PR (FIU) MAC 2311 21 / 85 f 00 (x) = 4x(5x 2 − 3) f 00 (x) q = 0 ⇔ x = 0, or x = ± 35 . PR (FIU) MAC 2311 22 / 85 f 00 (x) = 4x(5x 2 − 3) f 00 (x) x f0 f 00 f q = 0 ⇔ x = 0, or x = ± 35 . + % a -1 0 0 PR (FIU) & a 0 + & ` 0 1 0 + + % ` 0 0 MAC 2311 + % a ( 15 ) 2 0 1 ( 35 ) 2 & a 0 + & ` 1 0 0 + + % ` 22 / 85 limx→−∞ f (x) = −∞, no global minimum. limx→+∞ f (x) = +∞, no global maximum. q Local minima are f (− 15 ), and f (1). q Local maxima are f (−1) and f ( 15 ). q q q q Inflection points are (− 35 , f (− 35 )), (0, f (0)) and ( 35 , f ( 35 )). PR (FIU) MAC 2311 23 / 85 PR (FIU) MAC 2311 24 / 85 4.3 Analysis of functions III: Rational functions, cusps and vertical tangents Vertical asymptotes: Example: y = 1 . (x+2)3 lim x→−2− 1 = −∞ (x + 2)3 lim + 1 = +∞ (x + 2)3 x→−2 The graph of y = x = −2. PR (FIU) 1 (x+2)3 will show a (two-sided) vertical asymptote at MAC 2311 25 / 85 x =a is a vertical asymptote for the graph of y = f (x) if lim f (x) = ±∞ x→a PR (FIU) MAC 2311 26 / 85 x =a is a vertical asymptote for the graph of y = f (x) if lim f (x) = ±∞ x→a Horizontal asymptotes: Example: y = 1 . x2 lim 1 =0 x2 lim 1 =0 x2 x→+∞ x→−∞ The graph will show a (two-sided) horizontal asymptote y = 0 PR (FIU) MAC 2311 26 / 85 If lim f (x) = d, x→±∞ then y =d is a horizontal asymptote for the graph of y = f (x). PR (FIU) MAC 2311 27 / 85 If lim f (x) = d, x→±∞ then y =d is a horizontal asymptote for the graph of y = f (x). Slant asymptotes: y = mx + b m = lim f 0 (x) x→±∞ b = lim [f (x) − mx] x→±∞ PR (FIU) MAC 2311 27 / 85 Example: Find slant asymptotes for the graph of f (x) = PR (FIU) MAC 2311 x 2 +x−1 x−1 . 28 / 85 Example: Find slant asymptotes for the graph of f (x) = f 0 (x) = x 2 +x−1 x−1 . x 2 − 2x (x − 1)2 m = lim f 0 (x) = 1 x→±∞ b = lim [ x→±∞ 2x − 1 x2 + x − 1 − x] = lim =2 x→±∞ x −1 x −1 y = x + 2 is a (two-sided) slant asymptote. PR (FIU) MAC 2311 28 / 85 Complete graph Graph f (x) = PR (FIU) x3 x 2 −5 MAC 2311 29 / 85 Complete graph Graph f (x) = x3 x 2 −5 x-intercept: x = 0 y -intercept: y = 0 limx→−∞ f (x) = −∞ limx→+∞ f (x) = +∞ f 0 (x) = x 2 (x 2 −15) . (x 2 −5)2 f 00 (x) = 10x(x 2 +15) 3 (x 2 −5) √ √ Critical points are x = 0, x = ± 15, f 0 (x) undefined at x = ± 5. √ f 00 (x) = 0 at x = 0, undefined at x = ± 5 PR (FIU) MAC 2311 29 / 85 √ Vertical asymptote at x = ± 5 No horizontal asymptote. limx→±∞ f 0 (x) = 1 3 limx→±∞ [ x 2x−5 − x] = 0. So y =x is a two-sided slant asymptote. PR (FIU) MAC 2311 30 / 85 x f 0 (x) f 00 (x) f(x) + % a √ − 15 0 & a √ − 5 ? ? ? ? + & ` 0 0 0 0 √ & a 5 ? ? ? ? √ + & ` 15 0 + + % ` √ Local minimum value f ( 15) √ Local maximum value f (− 15) Inflection point at x = 0 PR (FIU) MAC 2311 31 / 85 PR (FIU) MAC 2311 32 / 85 Vertical tangent lines and cusps. Examples: 1 4 f (x) = 6x 3 + 3x 3 . f 0 (x) = 2x −2/3 + 4x 1/3 Observe that f (0) is defined and lim f 0 (x) = +∞ x→0 The graph will have a vertical tangent line at x = 0 PR (FIU) MAC 2311 33 / 85 PR (FIU) MAC 2311 34 / 85 Another example: f (x) = (x − 4)2/3 . f 0 (x) = 1 2 (x − 4)− 3 3 Observe that f (4) is defined and lim f 0 (x) = +∞ x→4+ lim f 0 (x) = −∞ x→4− The graph will show a cusp at x = 4. PR (FIU) MAC 2311 35 / 85 PR (FIU) MAC 2311 36 / 85 Graph f (x) = x 1/3 (2 − x)2/3 . PR (FIU) MAC 2311 37 / 85 Graph f (x) = x 1/3 (2 − x)2/3 . x intercepts: x = 0, x = 2 y intercept: y = 0 Computations show f 0 (x) = 13 x 2/32−3x . Critical points are (2−x)1/3 0 x = 2/3, f (x) undefined at x = 0 and x = 2. Vertical tangent at x = 0, cusp at x = 2. 1 Computations show f 00 (x) = − 98 x 5/3 (2−x) 4/3 . Undefined at x = 0 and x = 2 PR (FIU) MAC 2311 37 / 85 x f 0 (x) f 00 (x) f(x) PR (FIU) + + % ` 0 ? ? 0 + % a 2/3 0 MAC 2311 & a 2 ? ? + % a 38 / 85 x f 0 (x) f 00 (x) f(x) + + % ` 0 ? ? 0 + % a 2/3 0 & a 2 ? ? + % a A local minimum value is f (2). A local maximum value is f (2/3) Inflection point at x = 0 PR (FIU) MAC 2311 38 / 85 PR (FIU) MAC 2311 39 / 85 4.4 Absolute maxima and minima Recall: If f (x) is continuous on [a, b], then there exists numbers c and d in [a, b] such that f (c) is the minimum value and f (d) is the maximum value of f (x) on [a, b]. Moreover each of c and d is either critical points of f (x) or one of the endpoints a or b. PR (FIU) MAC 2311 40 / 85 Program for looking for extremal values of a continuous function f on a closed interval [a, b]. 1. Find all critical points of f (x) in [a, b] 2. Evaluate f (x) at those points and at the endpoints a and b 3. Identify the maximum and minimum values by comparison. PR (FIU) MAC 2311 41 / 85 Examples: Find the absolute extrema for: f (x) = √ 3x2 4x +1 PR (FIU) on the interval [−1, 1] MAC 2311 42 / 85 Extrema values on open or unbounded intervals Examples State whether the given function attains a maximum value or a minimum value (or both). 1) f (x) = 2) f (x) = 1 on (−∞, +∞) x 2 +1 1 x(1−x) on (0, 1). Evaluation at endpoints is replaced by right and left limits as appropriate. PR (FIU) MAC 2311 43 / 85 4.5 Applied maximum and minimum problems Example A rectangle has its two lower corners on the X -axis and its two upper corners on the curve y = 16 − x 2 . For all such rectangles, what are the dimensions of the one with largest area? PR (FIU) MAC 2311 44 / 85 Strategy in solving applied maximum and minimum problems 1. Drawing a picture and labeling quantities. 2. Find a formula for the quantity to be maximized or minimized. 3. Using information from the text, express the quantity to be optimized as a function of one variable. 4. Find the interval of possible values for this variable. 5. Use the previous procedure to find the absolute extrema on the closed interval from 4. PR (FIU) MAC 2311 45 / 85 More applied extrema problems: Open or unbounded intervals Example: A closed rectangular container with a square base is to have a volume of 2000cm3 . It costs twice as much per square centimeter for the top and bottom as it does for the sides. Find the dimensions of the container of least cost. The procedure is similar, except evaluation at endpoints is replaced by right and left limits. PR (FIU) MAC 2311 46 / 85 Example 2 A lamp is suspended above the center of a round table of radius r . How high above the table should the lamp be placed to achieve maximum illumination at the edge of the table? Assuming that the illumination I is directly proportional to the cosine of the angle of incidence φ of the light rays and inversely proportional to the square of the distance l from the light source. PR (FIU) MAC 2311 47 / 85 Observation: A unique local extremum on an open interval is necessarily an absolute extremum! PR (FIU) MAC 2311 48 / 85 4.8 Rolle’s Theorem; Mean Value Theorem Recall: (Rolle’s Theorem) Let f be differentiable on (a, b) and continuous on [a, b]. If f (a) = 0 = f (b), then there is at least one point c in (a, b) where f 0 (c) = 0. Recall: (Mean Value Theorem) Let f (x) be differentiable on (a, b) and continuous on [a, b]. Then there is at least one point c in (a, b) where f 0 (c) = PR (FIU) f (b) − f (a) . b−a MAC 2311 49 / 85 Independent proof of Mean Value Theorem The secant line joining (a, f (a)) and (b, f (b)) has equation y − f (a) = PR (FIU) f (b) − f (a) (x − a) b−a MAC 2311 50 / 85 Independent proof of Mean Value Theorem The secant line joining (a, f (a)) and (b, f (b)) has equation y − f (a) = f (b) − f (a) (x − a) b−a The function v (x) = f (x) − f (a) − f (b) − f (a) (x − a) b−a satisfies the hypotheses in Rolle’s Theorem. Indeed, v (x) is differentiable on (a, b), continuous on [a, b] and v (a) = 0 = v (b). PR (FIU) MAC 2311 50 / 85 So, by Rolle’s Theorem, there is at least one c in (a, b) such that v 0 (c) = 0. But v 0 (c) = 0 is equivalent to f 0 (c) − f (b) − f (a) =0 b−a That is f 0 (c) = PR (FIU) f (b) − f (a) . b−a MAC 2311 51 / 85 Exercise: Does f (x) = x + x1 satisfy the Mean Value Theorem’s hypotheses on [3, 4]. If it does, find all values c in ]3, 4[ that satisfy the conclusion of the Theorem. PR (FIU) MAC 2311 52 / 85 5.2 The indefinite integral The area Problem PR (FIU) MAC 2311 53 / 85 A(x) will denote the shaded area under the graph of y = f (x) and between fixed a and variable x. Claim: A0 (x) = f (x). PR (FIU) MAC 2311 54 / 85 Proof: A(x + h) − A(x) h h→0 A0 (x) = lim assuming h > 0 for now: hf (x) ≤ A(x + h) − A(x) ≤ hf (x + h) PR (FIU) MAC 2311 55 / 85 f (x) ≤ lim f (x) ≤ h→0 f (x) ≤ A(x+h)−A(x) h A(x+h)−A(x) limh→0 h A0 (x) ≤ f (x + h) ≤ lim f (x + h) h→0 ≤ f (x) The same inequalities will be obtained assuming h < 0. So A0 (x) = f (x) PR (FIU) MAC 2311 56 / 85 Example: Find the area A(x) of the region under the graph of y = x 2 , between x = 1 and x to the right of 1. PR (FIU) MAC 2311 57 / 85 Example: Find the area A(x) of the region under the graph of y = x 2 , between x = 1 and x to the right of 1. 3 A0 (x) = x 2 . So A(x) = x3 + C where C could be any constant. But since A(1) = 0, it follows that 0= 1 +C 3 and hence C = − 13 . A(x) = PR (FIU) x3 1 − . 3 3 MAC 2311 57 / 85 Remark: To find an area to the left of 1, a negative sign needs to be introduced. For example the area between 1 and PR (FIU) 1 2 MAC 2311 1 is −A( 12 ) = −( 24 − 13 ) = 7 24 . 58 / 85 A function F (x) such that F 0 (x) = f (x) is called an antiderivative of f (x). If F (x) is an antiderivative of f (x), then for any constant C, F (x) + C is another antiderivative of f (x). It is true also that any two antiderivatives of f (x) differ by a (locally) constant function. PR (FIU) MAC 2311 59 / 85 The process of finding antiderivatives is called integration. We shall use the notation Z f (x)dx to represent all antiderivatives of f (x). That is Z f (x)dx = F (x) + C where F (x) is one of the antiderivatives of f (x). the indefinite integral of f (x). PR (FIU) MAC 2311 R f (x)dx is also called 60 / 85 Exercises: Find the integrals: R 1) x −6 dx R 2) x 2/3 dx R 3) 2x1 3 dx = PR (FIU) MAC 2311 61 / 85 Z PR (FIU) (u 3 − 2u + 7)du = MAC 2311 62 / 85 Z (u 3 − 2u + 7)du = u4 − u 2 + 7u + C 4 We have used the following: PR (FIU) MAC 2311 62 / 85 Properties of the indefinite integral R R Cf (x)dx = C R f (x)dx R R (f (x) + g(x))dx = f (x)dx + g(x)dx PR (FIU) MAC 2311 63 / 85 R (1 + x 2 )(2 − x)dx = R (t −2 − cos t)dt = R R R sin 2x cos x dx = x 2 sin x+2 sin x dx 2+x 2 2 = cot xdx = Find f (x) such that f 0 (x) + sin x = 0 and f (0) = 2. PR (FIU) MAC 2311 64 / 85 Some integration formulas d x r +1 dx ( r +1 ) = x r , for r 6= −1, we deduce that R d 2t ⇒ tan t = sec sec2 tdt = tan t + C dt R d sin xdx = − cos x + C dx (− cos x) = sin x ⇒ R d cos xdx = sin x + C dx sin x = cos x ⇒ Since PR (FIU) MAC 2311 R x r dx = x r +1 r +1 + C. 65 / 85 5.3 Integration by substitution Basic integration by substitution formula: If f (x) = g(u) du dx , then Z Z Z du f (x)dx = g(u) dx = g(u)du dx R Example: Evaluate (3x − 1)5 dx Put u(x) = 3x − 1, then Letting g(u) = u5 3 , du dx =3 we see that (3x − 1)5 = g(u) PR (FIU) MAC 2311 du dx 66 / 85 Therefore Z 5 (3x − 1) dx Z g(u) = du dx dx Z = = = PR (FIU) Z g(u)du = u5 du 3 1 u6 +C 3 6 1 (3x − 1)6 + C 18 MAC 2311 67 / 85 Exercises 1) R sec2 (4x + 1)dx PR (FIU) MAC 2311 68 / 85 Exercises 1) R sec2 (4x + 1)dx 2) R sin (3x)dx PR (FIU) MAC 2311 68 / 85 Exercises 1) R sec2 (4x + 1)dx 2) R sin (3x)dx 3) R x cos (3x 2 )dx PR (FIU) MAC 2311 68 / 85 Exercises 1) R sec2 (4x + 1)dx 2) R sin (3x)dx 3) R x cos (3x 2 )dx 4) R tan3 (5x) sec2 (5x)dx PR (FIU) MAC 2311 68 / 85 More exercises 1) R √ 3x 4x 2 +5 dx R 2) (4x 2 + 12x + 9)2/3 dx √ R 3) cos 4θ 2 − sin 4θdθ R 4) sin x(5/x) dx 2 R 2 5) x sec2 (x 3 )dx R 6) cos2 2t sin 2tdt PR (FIU) MAC 2311 69 / 85 10.1 Parametric equations; Tangent lines for parametric curves A parametric curve in the x, y plane is a pair of functions: x = f (t), y = g(t), t ∈ [a, b] x = cos t, y = sin t, 0 ≤ t ≤ 2π Example 1: PR (FIU) MAC 2311 70 / 85 The graph is the unit circle as we can see by eliminating t and obtaining x2 + y2 = 1 Example 2: x= PR (FIU) 1 − t2 , 1 + t2 y= 2t , 1 + t2 MAC 2311 −∞ < t < +∞ 71 / 85 Eliminating t, we get x2 + y2 = 1 the unit circle again! Exercises: Eliminate the parameter and then sketch the curve: a) x = t 2 + 3t, y =t −2 b) x = et , y = 4e2t c) x = et , y = e−t d) x = 5 cos t, PR (FIU) y = 5 sin t MAC 2311 72 / 85 First eliminate the parameter and sketch the curve. Then describe the motion of the point (x(t), y (t)) as t varies in the given interval: 1) x = sin2 πt, 2) x = cos t, PR (FIU) y = cos2 πt; y = sin2 t; 0 ≤ t ≤ 2π −π ≤ t ≤ π MAC 2311 73 / 85 Tangent lines to parametric curves Given parametric equations of a curve: x = f (t), We wish to find When dx dt dy dx y = g(t) at a given t = t0 . 6= 0, one has: dy = dx PR (FIU) dy dt dx dt MAC 2311 74 / 85 Example: x = t sin t, y = t cos t find the equation of the tangent line at t = π2 . dy cos t − t sin t = dx sin t + t cos t At t = π2 , dy dx = − π2 . The point corresponding to t = equation: π 2 is ( π2 , 0). So the tangent line has π π y = − (x − ) 2 2 PR (FIU) MAC 2311 75 / 85 Exercises: 1. First write the equation of the tangent line to the given parametric curve at the point that corresponds to the given value of t, then 2 calculate ddxy2 to determine whether the curve is concave upward or concave downward at this point. a) x = 2t 2 + 1, b) x = t sin t, PR (FIU) y = 3t 3 + 2; y = t cos t; t =1 t= π 2 MAC 2311 76 / 85 Polar coordinates (r , θ) : 0 ≤ r < +∞, x = r cos θ, 0 ≤ θ < 2π y = r sin θ Conversion formulas: r2 = x2 + y2 y tan θ = for x 6= 0 x PR (FIU) MAC 2311 77 / 85 Exercises: Express the given rectangular equation in polar form. 1) xy = 1 2) x 2 − y 2 = 1 3) x + y = 4 PR (FIU) MAC 2311 78 / 85 Express the given polar equation in rectangular form. 1) r = 3 2) θ = 3π 4 3) r = sin 2θ 4) r = 1 − cos 2θ PR (FIU) MAC 2311 79 / 85 Graphing polar curves Polar curves are usually given by equations of the form r = f (θ) Example: Graph the circle r = 2 sin θ The period T = 2π will be divided into 4 quarters, θ = T4 , θ = 2 T4 , θ = 3 T4 , θ = 4 T4 . We will include any additional reference points θ satisfying r = 0, that is, 2 sin θ = 0 in this exemple. PR (FIU) MAC 2311 80 / 85 θ r 0 0 π 2 2 π 0 3 π2 -2 2π 0 Observe that the point r = −2, θ = 3 π2 will be plotted as r = 2, θ = 3 π2 + π, that is, a reflection through the pole is applied. PR (FIU) MAC 2311 81 / 85 Cardioids are given by equations like: r = a(1 ± sin θ) r = a(1 ± cos θ) Example: Graph r = 2 + 2 sin θ PR (FIU) MAC 2311 82 / 85 Rose curves are given by equations of the form: r = a cos nθ r = a sin nθ When n is even, the rose has 2n petals. When n is odd, the rose will have n petals. Examples: Graph r = 3 sin 3θ. Graph r = cos 2θ PR (FIU) MAC 2311 83 / 85 Polar curves as parametric curves From a polar curve r = f (θ) we get a parametric curve x = f (θ) cos θ, y = f (θ) sin θ In this case, the slope of tangent lines will be given by: dr r cos θ + sin θ dθ dy = dr dx −r sin θ + cos θ dθ PR (FIU) MAC 2311 84 / 85 Example: Find the slope of the tangent line to the circle r = 4 cos θ at the point where θ = π6 . PR (FIU) MAC 2311 85 / 85
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