Integrals of the form. Notes by G.J.O. Jameson. I f (x) = x. f(t) cos t dt, S f (x) = x

Size: px
Start display at page:

Download "Integrals of the form. Notes by G.J.O. Jameson. I f (x) = x. f(t) cos t dt, S f (x) = x"

Transcription

1 Integrals of the form f(t)eit dt Notes by G.J.O. Jameson Basic results We consider integrals of the form with real and imaginary parts I f () = f(t)e it dt, C f () = f(t) cos t dt, S f () = f(t) sin t dt. where and f(t) is real, continuous and non-negative on (, ). Our conditions will ensure that I f () eists for all >. If I f () eists (it will in some cases, not others) it is called the complete integral of this kind. First, some elementary observations, presupposing the eistence of I f () for > : (E1) By the fundamental theorem of calculus, I f () = f()ei. (E2) (E3) (E4) I f () = e i f( + u)e iu du. I f ( + 2kπ) = I g (), where g(t) = f(t + 2kπ). For λ >, we have f(t)eiλt dt = 1 I λ g(λ), where g(t) = f(t/λ). Our general assumption is that f(t) is defined and non-negative for all t > (and possibly also for t = ), and that f(t) is completely monotonic, that is: (CM) lim t f(t) = and ( 1) n f (n) (t) for all n and t >. This implies automatically that ( 1) n f (n) (t) is decreasing and tends to as t. So ( 1) n f (n) (t) also satisfies (CM). The basic eample is f(t) = 1/t p for any p > : by a slight abuse of notation, we use the notation I p (), C p (), S p () for this case. Cases of particular interest are p = 1, defining the sine and cosine integrals and p = 1, defining the Fresnel integrals. There 2 are well-known values for the complete integrals S 1 () = π/2 and I p () = Γ(q)e 1 2 qπi, where < p < 1 and q = 1 p. Methods for these evaluations, and other results specific to these cases, are presented in companion notes [Jam1], [Jam2]. Another eample satisfying (CM) is f(t) = e at, where a >. In this case, we can 1

2 evaluate I f () eplicitly: I f () = e (i a)t dt = e(i a) a i = a + i a e a e i. If f is completely monotonic, then so are f(t + a) and f(t) f(t + a) for a >. Also, if f and g are completely monotonic, then so is fg. Numerous further eamples of completely monotonic functions are given in [AB] and references listed there. There is, in fact, a welldeveloped general theory of such functions (e.g. [Wid, chap. 4]), but we do not need it for our purposes. We denote by (CM k ) condition (CM) restricted to the first k derivatives, with f (k) assumed continuous. To start the investigation of these integrals, we write I f (, y) = y f(t)e it dt and integrate by parts, temporarily assuming only (CM 1 ): I f (, y) = [ ] y if(t)e it + i Since f (t), we have f (t)e it f (t), hence I f (, y) y f (t)e it dt = if()e i if(y)e iy + ii f (, y). (1) y ( f (t)) dt = f() f(y), (2) which converges to f() as y. Hence the integral defining I f () is convergent, with absolute value not greater than f() (distinguish between I f () and I f ()!). Now taking the limit as y, we obtain the basic result on convergence, together with a long list of identities and inequalities, which we summarise as follows: PROPOSITION 1. If f satisfies (CM 1 ), then the integrals defining I f () and I f () are convergent for all >, and the following statements apply: I f () = if()e i + ii f (), (3) C f () = f() sin S f (), (4) S f () = f() cos + C f (), (5) I f () f(), (6) 2

3 I f () 2f(), (7) f()(1 + sin ) C f () f()(1 sin ), (8) f()(cos 1) S f () f()(cos + 1). (9) Note. Using (1) and (2), one can easily derive corresponding statements for I f (, y), C f (, y) and S f (, y), without any assumptions about f(t) outside the interval [, y]. For eample, I f (, y) f()+f(y)+f() f(y) = 2f(). By writing out the real and imaginary parts in (1), one can show that (8) and (9) still apply for all y >. If y = + 2kπ, then e iy = e i, and we see that I f (, y) 2[f() f(y)]. Our standing assumption from now on will be that f satisfies condition (CM), though it will be clear that particular results only require (CM k ) for suitable k. Then (7) applies to f to give I f () 2f (). Typically, (and in particular for f() = p ), f () will be of a smaller order of magnitude than f() for large, so this will be a better estimation of I f () than (6). It then makes sense to restate (3) in the form I f () = if()e i + r f (), where r f () 2f () (and similarly for (4) and (5)). So under the condition f ()/f() as, we have I f () f() as. This suggests that the natural comparison in (7) is really with f() rather than 2f(). It certainly shows that if C is the best constant in the inequality I f () Cf(), then C 1. We will see later that the factor 2 can indeed be removed in (7). At the same time, (6) will typically give a better estimation of I f () than (7) for close to. Repetition of the process that gave (3) leads at once to the following identities. PROPOSITION 2. If f is completely monotonic, then for all >, I f () = if()e i f ()e i I f (), (1) C f () = f() sin f () cos C f (), (11) S f () = f() cos f () sin S f (). (12) Further, I f () = i [f() f ()] e i [ f () f (3) () ] e i + I f (4)(), (13) C f () = [f() f ()] sin [ f () f (3) () ] cos + C f (4)(), (14) S f () = [f() f ()] cos [ f () f (3) () ] sin + S f (4)(). (15) 3

4 Proof. Applying (3) to f (t) and substituting back into (3), we obtain (1). Now apply (1) to f (t) and substitute, obtaining: I f () = if()e i f ()e i if ()e i + f (3) ()e i + I f (4)(). which equates to (13). The other statements are derived by taking real and imaginary parts. The reader is urged not to be daunted by this proliferation of formulae! It should be clear that they simply record the consequences of repeating a very simple integration by parts, with versions for each of the three integrals. Bounds for the remainder terms convert these identities into inequalities. As before, we have alternative bounds. For eample, I f (4)() is bounded both by f (3) () and by 2f (4) (). As an illustration, we restate (13) eplicitly for the case f(t) = 1/t: ( 1 I 1 () = 2 ) ( 1 ie i ) e i + 24I (), in which 24I 5 () is bounded both by 6/ 4 and 48/ 5. It is quite easy to deduce that I 1 () < 1/ for all > 4 (see [Jam1]). For S 1 (), the method is developed further in [JLM] to derive the stronger inequality S 1 () π 2 tan 1 (note that this is eact at ). Of course, the process can be continued: successive derivatives of f() appear in the epressions multiplying e i and ie i. The outcome is an asymptotic epansion for I f (). However, this does not simply deliver ever-closer approimations, because typically for a fied, the derivatives f (n) () will ultimately grow large in magnitude. The functions S f () and C f () (The reader could omit, or defer, this subsection). We now present a number of identities and inequalities for S f () and C f (), particularly relating to the points nπ and (n 1)π 2 (which we denote by u n to shorten the formulae). Typically, inequalities relating to S f (nπ) reverse according to whether n is even or odd: this is handled most efficiently by stating them in terms of ( 1) n S f (nπ). Since S f () = f() sin and sin t on intervals [2nπ, (2n+1)π], S f() is decreasing on such intervals, and similarly it is increasing on intervals [(2n 1)π, 2nπ]. Hence it has maima at the points 2nπ and minima at (2n + 1)π. Similarly, C f () has maima at u 2n and minima at u 2n+1. 4

5 In particular, S f () is decreasing on (, π], so it either tends to infinity or to a finite limit (which is then S f ()) as +. Similarly for C f (). Assuming no more than that f(t) is decreasing, we can prove: PROPOSITION 3. Suppose that f(t) is non-negative and decreasing, and that S f () eists for all >. Write S f (nπ) = S n. Then for n, ( 1) n (S n S n+2 ) (16) ( 1) n S n. (17) For all 2nπ, we have S 2n+1 S f () S 2n. The least value of S f () is S 1. If S is finite, it is the greatest value. Proof. By substituting t = u + π on [(n + 1)π, (n + 2)π] and recombining, we see that S n S n+2 = (n+2)π nπ f(t) sin t dt = (n+1)π nπ [f(t) f(t + π)] sin t dt. Since f(t) f(t + π) and ( 1) n sin t on [nπ, (n + 1)π], this implies (16). Hence ( 1) n (S n S n+2k ) : taking the limit as k, we have ( 1) n S n. Now take between (2n + 2k)π and (2n + 2k + 2)π. By the monotonicity properties, we have S f () S 2n+2k S 2n and S f () S 2n+2k+1 S 2n+1. The statements on greatest and least values follow. Similar statements apply to C f (), with nπ replaced by u n, ecept that if C f () is finite, it can be either greater or less than C f (u 2 ), the other candidate for the greatest value. (See [Jam2]). We remark that (17) also follows from (9), applied to nπ for even and odd n. Our earlier identities simplify pleasantly at the points nπ and u n, because sin nπ = cos u n =. Also, cos nπ = ( 1) n and sin u n = ( 1) n+1. In particular, (12) and (11) become: S f (nπ) = ( 1) n f(nπ) S f (nπ), (18) C f (u n ) = ( 1) n f(u n ) C f (u n ). (19) PROPOSITION 4. If f is completely monotonic, then for n 1, ( 1) n S f (nπ) f(nπ), (2) ( 1) n C f (u n ) f(u n ). (21) 5

6 form Proof. By (17), applied to f, we have ( 1) n S f (nπ). With (18) rewritten in the ( 1) n S f (nπ) = f(nπ) ( 1) n S f (nπ), it follows that ( 1) n S f (nπ) f(nπ). The proof of (21) is similar. Hence, for eample, f[(2n + 1)π S f () f(2nπ) for in [2nπ, (2n + 2)π]. We can derive companion bounds for S f (u n ) and C f (nπ): PROPOSITION 5. If f is completely monotonic, then ( 1) n+1 S f (u n ) f (u n ), (22) ( 1) n C f (nπ) f (nπ). (23) Proof. By (4), we have C f (nπ) = S f (nπ). By (2), applied to f, we have ( 1) n+1 S f (nπ) f (nπ), hence (23). The proof of (22) is similar. Of course, we can take these results to a further stage. For = nπ, (15) becomes S f (nπ) = ( 1) n [f(nπ) f (nπ)] + S f (4)(nπ), and one can deduce f(nπ) f (nπ) ( 1) n S f (nπ) f(nπ) f (nπ) + f (4) (nπ). The auiliary functions; the inequality I f () f() Formulae like (3) and (1) simplify pleasantly when epressed in terms of e i I f () and its components, because real and imaginary parts are separated. Write e i I f () = K f (). Note that by (E2), K f () = f(u + )e iu du. (24) We write K f () = V f () + iu f (), so that U f () = S f () cos C f () sin, (25) V f () = C f () cos + S f () sin. (26) U f and V f are called the auiliary functions. (We write U f, V f this way round in a gesture to the customary notation; cf. [DLMF, chapter 6] for the case f(t) = 1/t.) Note that U f (nπ) = ( 1) n S f (nπ) and V f (nπ) = ( 1) n C f (nπ), also U f (u n ) = ( 1) n C f (u n ) and V f (u n ) = ( 1) n+1 S f (u n ). We will see that our results for S f and C f 6

7 at the points nπ and u n can be recaptured as special cases of similar statements for U f () and V f (), now applying for all. Stated for K f () and its components, identity (3) becomes K f () = if() + ik f (), (27) U f () = f() + V f (), (28) V f () = U f (). (29) Similarly, (1) becomes K f () = if() f () K f (), (3) U f () = f() U f (), (31) V f () = f () V f (). (32) The cases = nπ and = u n in (31) reproduce (18) and (19). Meanwhile, differentiation gives K f() = ie i I f () e i e i f() = ik f () f(), (33) hence U f() = V f (), (34) V f() = U f () f(). (35) Note that by (27) and (33), we have K f () = K f (): this also follows formally from (24) by differentiation under the integral sign. Also, from (34) and (35), we see that U f and V f satisfy the differential equations U f +U f = f and V f +V f = f (though we will not use this fact). In fact, they are essentially the solutions of these equations delivered by the technique of variation of parameters. The basic inequalities for U f () and V f () are summarised in the net result. THEOREM 1. If f is completely monotonic, then Further, U f (), V f () and f() U f () are decreasing. U f () f(), (36) V f () f (). (37) Proof. By (6), we have V f () I f () f(), so by (28), U f (). Applied to f, this gives U f (), so by (29), we have V f (). Now applying these statements 7

8 to f, we see that U f () and V f () are non-negative, so by (31) and (32), U f () f() and V f () f (). By (34), we now have U f () = V f() and f () U f () = f () + V f (). By (35), we have V f () = U f() f(). Note. As mentioned previously, weaker conditions are actually sufficient. We require (CM 1 ) for the inequality U f (), hence (CM 2 ) for U f () and V f (), and consequently (CM 4 ) for V f () and V f () f(). Note that (2) and (21) are the cases = nπ and = u n in (36), while (22) and (23) are similarly cases of (37). We have gained other information, for eample ( 1) n S f (nπ) and ( 1) n C f (nπ) decrease with n. We can proceed to further terms, as before. Identity (13) becomes K f () = i [f() f ()] [ f () f (3) () ] + K f (4)(), U f () = f() f () + U f (4)(), V f () = f () f (3) () + V f (4)(), with attendant inequalities derived from U f (4)() f (4) () and V f (4)() f (5) (). We can now show that the factor 2 in (7) can be removed, as stated earlier. THEOREM 2. If f is completely monotonic, then I f () is decreasing and for all >. Proof. Let M() = I f () 2 = C f () 2 + S f () 2. Then I f () f() (38) M () = 2C f ()f() cos 2S f ()f() sin = 2f()[C f () cos + S f () sin ] = 2f()V f (). (This follows equally from (34) and (35).) By (37), we have V f () f (). Hence M (), so M() is decreasing. Also, M () 2f()f (), so f() 2 M() is decreasing. Since it tends to as, it follows that it is non-negative, so M() f() 2, hence I f () f(), for >. Hence C f () and S f () are also bounded by f(). The upper bounds in (36) and (37) are now seen to be special cases of (38), but of course (37) was used in its proof. 8

9 We mention two corollaries. COROLLARY 2.1. If y = + 2kπ, then I f (, y) f() f(y). Proof. By (E3), I f (y) = I g (), where g(t) = f(t + 2kπ). So I f (, y) = I f () I f (y) = I h (), where h(t) = f(t) f(t + 2kπ). The statement follows by applying Theorem 2 to h. COROLLARY 2.2. If λ >, then f(t)e iλt dt f() λ. Proof. This is an immediate consequence of Theorem 2 and (E4). Theorem 2 has appeared in [Jam3]. Although these integrals are a highly classical topic, not much attention seems to have been given to inequalities of this type. I am not aware of any earlier mention of (38) in the literature, although for the case f(t) = 1/t p, it is an easy consequence of a known epression for I p (): we return to this below. As noted earlier, the condition really required for (37), and hence (38), is (CM 4 ), Without any differentiability conditions, a trivial eample shows that factor 2 in (7) can be attained: take f(t) to be 1 for t π and for t > π: then I f () = 2i. We now give an eample satisfying (CM 2 ) in which I f (), and indeed S f (), is greater than f(), and (37) fails. Eample. Fi b > 2π, and let f(t) = { (b t) 2 for < t b, for t > b. Let a = b 2π. Then f (t) = 2 for a t < b, so I f (a) = b a 2eit dt =, so (1) applies to give I f (a) = [if(a) f (a)]e ia = (4π 2 i + 4π)e ia, hence I f (a) > 4π 2 = f(a). Also, S f (a) = 4π 2 cos a + 4π sin a, which is greater than 4π 2 at least when < a < π 6. Further, one checks easily that V f() = 2(b ) 2 sin(b ), which is greater than f () = 2(b ) when a < < a + π. (Strictly, this eample does not satisfy (CM 2 ) because f has a discontinuity, but this can be rectified by a small perturbation, or by a natural relaation of the definition of (CM 2 ) to restrict to left derivatives at a point b such that f(t) = for all t b.) 9

10 An alternative method for Theorems 1 and 2 We sketch a superficially very quick alternative proof of these theorems using a theorem of Bernstein [Wid, p. 16], which states that all completely monotonic functions can be epressed as f(t) = e ut dµ(u) for some non-negative measure µ. As an illustration, the epression for 1/t p derived directly from the definition of the gamma function, is 1 t p = 1 Γ(p) u p 1 e ut du. Proof of Theorems 1 and 2. Assuming validity of the reversal of integration, we have I f () = = = e it e ut dµ(u) dt e (u i) u i e (u i)t dt dµ(u) dµ(u). Since u i 1, we deduce I f () e u dµ(u) = f(). Also, we can derive the following epressions for the auiliary functions: U f () = e u u dµ(u), V f () = ue u u dµ(u), from which it is clear that U f (), V f () and f() U f () are decreasing. For the case f(t) = 1/t p, this is indeed an appealing method, though the reversal of integration requires justification, at least by first considering the integral on a bounded interval [, y] for t. The implied epression for I p () is surely well known. However, for general completely monotonic functions, this method depends on heavy machinery in the form of Bernstein s theorem. Also, it does not apply to functions satisfying only (CM 4 ). 1

11 References [AB] [DLMF] [Jam1] [Jam2] [Jam3] [JLM] Horst Alzer and Christian Berg, Some classes of completely monotonic functions II, Ramanujan J. 11 (26), NIST Digital Library of Mathematical Functions at dlmf.nist.gov G. J. O. Jameson, The sine and cosine integrals, at jameson G. J. O. Jameson, The integral at jameson e it t p dt; Fresnel-type integrals, G. J. O. Jameson, An inequality for integrals of the form f(t)eit dt, J. Math. Ineq. 1 (216), Graham Jameson, Nick Lord and James McKee, An inequality for Si(), Math. Gazette 99 (215), [Wid] D. V. Widder, The Laplace Transform, Princeton Univ. Press (1946). updated 21 January

The incomplete gamma functions. Notes by G.J.O. Jameson. These notes incorporate the Math. Gazette article [Jam1], with some extra material.

The incomplete gamma functions. Notes by G.J.O. Jameson. These notes incorporate the Math. Gazette article [Jam1], with some extra material. The incomplete gamma functions Notes by G.J.O. Jameson These notes incorporate the Math. Gazette article [Jam], with some etra material. Definitions and elementary properties functions: Recall the integral

More information

Calculus Problem Sheet Prof Paul Sutcliffe. 2. State the domain and range of each of the following functions

Calculus Problem Sheet Prof Paul Sutcliffe. 2. State the domain and range of each of the following functions f( 8 6 4 8 6-3 - - 3 4 5 6 f(.9.8.7.6.5.4.3.. -4-3 - - 3 f( 7 6 5 4 3-3 - - Calculus Problem Sheet Prof Paul Sutcliffe. By applying the vertical line test, or otherwise, determine whether each of the following

More information

MATH 250 TOPIC 11 LIMITS. A. Basic Idea of a Limit and Limit Laws. Answers to Exercises and Problems

MATH 250 TOPIC 11 LIMITS. A. Basic Idea of a Limit and Limit Laws. Answers to Exercises and Problems Math 5 T-Limits Page MATH 5 TOPIC LIMITS A. Basic Idea of a Limit and Limit Laws B. Limits of the form,, C. Limits as or as D. Summary for Evaluating Limits Answers to Eercises and Problems Math 5 T-Limits

More information

DIFFERENTIATING UNDER THE INTEGRAL SIGN

DIFFERENTIATING UNDER THE INTEGRAL SIGN DIFFEENTIATING UNDE THE INTEGAL SIGN KEITH CONAD I had learned to do integrals by various methods shown in a book that my high school physics teacher Mr. Bader had given me. [It] showed how to differentiate

More information

Solutions to Problem Sheet for Week 6

Solutions to Problem Sheet for Week 6 THE UNIVERSITY OF SYDNEY SCHOOL OF MATHEMATICS AND STATISTICS Solutions to Problem Sheet for Week 6 MATH90: Differential Calculus (Advanced) Semester, 07 Web Page: sydney.edu.au/science/maths/u/ug/jm/math90/

More information

Fourier Analysis Fourier Series C H A P T E R 1 1

Fourier Analysis Fourier Series C H A P T E R 1 1 C H A P T E R Fourier Analysis 474 This chapter on Fourier analysis covers three broad areas: Fourier series in Secs...4, more general orthonormal series called Sturm iouville epansions in Secs..5 and.6

More information

Chapter (AB/BC, non-calculator) (a) Find the critical numbers of g. (b) For what values of x is g increasing? Justify your answer.

Chapter (AB/BC, non-calculator) (a) Find the critical numbers of g. (b) For what values of x is g increasing? Justify your answer. Chapter 3 1. (AB/BC, non-calculator) Given g ( ) 2 4 3 6 : (a) Find the critical numbers of g. (b) For what values of is g increasing? Justify your answer. (c) Identify the -coordinate of the critical

More information

Daily Lessons and Assessments for AP* Calculus AB, A Complete Course Page 584 Mark Sparks 2012

Daily Lessons and Assessments for AP* Calculus AB, A Complete Course Page 584 Mark Sparks 2012 The Second Fundamental Theorem of Calculus Functions Defined by Integrals Given the functions, f(t), below, use F( ) f ( t) dt to find F() and F () in terms of.. f(t) = 4t t. f(t) = cos t Given the functions,

More information

Math 261 Final Exam - Practice Problem Solutions. 1. A function f is graphed below.

Math 261 Final Exam - Practice Problem Solutions. 1. A function f is graphed below. Math Final Eam - Practice Problem Solutions. A function f is graphed below. f() 8 7 7 8 (a) Find f(), f( ), f(), and f() f() = ;f( ).;f() is undefined; f() = (b) Find the domain and range of f Domain:

More information

US01CMTH02 UNIT-3. exists, then it is called the partial derivative of f with respect to y at (a, b) and is denoted by f. f(a, b + b) f(a, b) lim

US01CMTH02 UNIT-3. exists, then it is called the partial derivative of f with respect to y at (a, b) and is denoted by f. f(a, b + b) f(a, b) lim Study material of BSc(Semester - I US01CMTH02 (Partial Derivatives Prepared by Nilesh Y Patel Head,Mathematics Department,VPand RPTPScience College 1 Partial derivatives US01CMTH02 UNIT-3 The concept of

More information

SYLLABUS FOR ENTRANCE EXAMINATION NANYANG TECHNOLOGICAL UNIVERSITY FOR INTERNATIONAL STUDENTS A-LEVEL MATHEMATICS

SYLLABUS FOR ENTRANCE EXAMINATION NANYANG TECHNOLOGICAL UNIVERSITY FOR INTERNATIONAL STUDENTS A-LEVEL MATHEMATICS SYLLABUS FOR ENTRANCE EXAMINATION NANYANG TECHNOLOGICAL UNIVERSITY FOR INTERNATIONAL STUDENTS A-LEVEL MATHEMATICS STRUCTURE OF EXAMINATION PAPER. There will be one -hour paper consisting of 4 questions..

More information

Limits and Their Properties

Limits and Their Properties Chapter 1 Limits and Their Properties Course Number Section 1.1 A Preview of Calculus Objective: In this lesson you learned how calculus compares with precalculus. I. What is Calculus? (Pages 42 44) Calculus

More information

THS Step By Step Calculus Chapter 1

THS Step By Step Calculus Chapter 1 Name: Class Period: Throughout this packet there will be blanks you are epected to fill in prior to coming to class. This packet follows your Larson Tetbook. Do NOT throw away! Keep in 3 ring binder until

More information

Homework #12 corrections

Homework #12 corrections Homework #2 corrections April 25, 205 (284) Let f() = 2 sin for 0 and f(0) = 0 (a) Use Theorems 283 and 284 to show f is differentiable at each a 0 and calculate f (a) Use, without proof, the fact that

More information

Math Exam 1a. c) lim tan( 3x. 2) Calculate the derivatives of the following. DON'T SIMPLIFY! d) s = t t 3t

Math Exam 1a. c) lim tan( 3x. 2) Calculate the derivatives of the following. DON'T SIMPLIFY! d) s = t t 3t Math 111 - Eam 1a 1) Evaluate the following limits: 7 3 1 4 36 a) lim b) lim 5 1 3 6 + 4 c) lim tan( 3 ) + d) lim ( ) 100 1+ h 1 h 0 h ) Calculate the derivatives of the following. DON'T SIMPLIFY! a) y

More information

Inequalities for the perimeter of an ellipse. G.J.O. Jameson, Math. Gazette 98 (2014)

Inequalities for the perimeter of an ellipse. G.J.O. Jameson, Math. Gazette 98 (2014) Inequalities for the perimeter of an ellipse G.J.O. Jameson, Math. Gazette 98 (14) integral The perimeter of the ellipse x /a + y /b = 1 is 4J(a, b), where J(a, b) is the elliptic J(a, b) = (a cos θ +

More information

PACKET Unit 4 Honors ICM Functions and Limits 1

PACKET Unit 4 Honors ICM Functions and Limits 1 PACKET Unit 4 Honors ICM Functions and Limits 1 Day 1 Homework For each of the rational functions find: a. domain b. -intercept(s) c. y-intercept Graph #8 and #10 with at least 5 EXACT points. 1. f 6.

More information

Section 3.3 Limits Involving Infinity - Asymptotes

Section 3.3 Limits Involving Infinity - Asymptotes 76 Section. Limits Involving Infinity - Asymptotes We begin our discussion with analyzing its as increases or decreases without bound. We will then eplore functions that have its at infinity. Let s consider

More information

Limits and Continuity

Limits and Continuity Limits and Continuity Philippe B. Laval Kennesaw State University January 2, 2005 Contents Abstract Notes and practice problems on its and continuity. Limits 2. Introduction... 2.2 Theory:... 2.2. GraphicalMethod...

More information

Composition of and the Transformation of Functions

Composition of and the Transformation of Functions 1 3 Specific Outcome Demonstrate an understanding of operations on, and compositions of, functions. Demonstrate an understanding of the effects of horizontal and vertical translations on the graphs of

More information

Economics 205 Exercises

Economics 205 Exercises Economics 05 Eercises Prof. Watson, Fall 006 (Includes eaminations through Fall 003) Part 1: Basic Analysis 1. Using ε and δ, write in formal terms the meaning of lim a f() = c, where f : R R.. Write the

More information

(i) find the points where f(x) is discontinuous, and classify each point of discontinuity.

(i) find the points where f(x) is discontinuous, and classify each point of discontinuity. Math Final Eam - Practice Problems. A function f is graphed below. f() 5 4 8 7 5 4 4 5 7 8 4 5 (a) Find f(0), f( ), f(), and f(4) Find the domain and range of f (c) Find the intervals where f () is positive

More information

Solutions to Problem Sheet for Week 11

Solutions to Problem Sheet for Week 11 THE UNIVERSITY OF SYDNEY SCHOOL OF MATHEMATICS AND STATISTICS Solutions to Problem Sheet for Week MATH9: Differential Calculus (Advanced) Semester, 7 Web Page: sydney.edu.au/science/maths/u/ug/jm/math9/

More information

November 13, 2018 MAT186 Week 8 Justin Ko

November 13, 2018 MAT186 Week 8 Justin Ko 1 Mean Value Theorem Theorem 1 (Mean Value Theorem). Let f be a continuous on [a, b] and differentiable on (a, b). There eists a c (a, b) such that f f(b) f(a) (c) =. b a Eample 1: The Mean Value Theorem

More information

A BRIEF REVIEW OF ALGEBRA AND TRIGONOMETRY

A BRIEF REVIEW OF ALGEBRA AND TRIGONOMETRY A BRIEF REVIEW OF ALGEBRA AND TRIGONOMETR Some Key Concepts:. The slope and the equation of a straight line. Functions and functional notation. The average rate of change of a function and the DIFFERENCE-

More information

Integrals evaluated in terms of Catalan s constant. Graham Jameson and Nick Lord (Math. Gazette, March 2017)

Integrals evaluated in terms of Catalan s constant. Graham Jameson and Nick Lord (Math. Gazette, March 2017) Integrals evaluated in terms of Catalan s constant Graham Jameson and Nick Lord (Math. Gazette, March 7) Catalan s constant, named after E. C. Catalan (84 894) and usually denoted by G, is defined by G

More information

Calculus Problem Sheet Prof Paul Sutcliffe. 2. State the domain and range of each of the following functions

Calculus Problem Sheet Prof Paul Sutcliffe. 2. State the domain and range of each of the following functions f() 8 6 4 8 6-3 - - 3 4 5 6 f().9.8.7.6.5.4.3.. -4-3 - - 3 f() 7 6 5 4 3-3 - - Calculus Problem Sheet Prof Paul Sutcliffe. By applying the vertical line test, or otherwise, determine whether each of the

More information

TOPICS IN HOMOGENIZATION OF DIFFERENTIAL EQUATIONS 7

TOPICS IN HOMOGENIZATION OF DIFFERENTIAL EQUATIONS 7 TOPICS IN HOMOGENIZATION OF DIFFERENTIAL EQUATIONS 7. Two-scale asymptotic epansions method We will illustrate this method by applying it to an elliptic boundary value problem for the unknown u : æ R given

More information

CONTINUITY AND DIFFERENTIABILITY

CONTINUITY AND DIFFERENTIABILITY 5. Introduction The whole of science is nothing more than a refinement of everyday thinking. ALBERT EINSTEIN This chapter is essentially a continuation of our stu of differentiation of functions in Class

More information

MATH 1325 Business Calculus Guided Notes

MATH 1325 Business Calculus Guided Notes MATH 135 Business Calculus Guided Notes LSC North Harris By Isabella Fisher Section.1 Functions and Theirs Graphs A is a rule that assigns to each element in one and only one element in. Set A Set B Set

More information

I know this time s homework is hard... So I ll do as much detail as I can.

I know this time s homework is hard... So I ll do as much detail as I can. I know this time s homework is hard... So I ll do as much detail as I can. Theorem (Corollary 7). If f () g () in (a, b), then f g is a constant function on (a, b). Proof. Call h() f() g(). Then, we try

More information

Answer Key 1973 BC 1969 BC 24. A 14. A 24. C 25. A 26. C 27. C 28. D 29. C 30. D 31. C 13. C 12. D 12. E 3. A 32. B 27. E 34. C 14. D 25. B 26.

Answer Key 1973 BC 1969 BC 24. A 14. A 24. C 25. A 26. C 27. C 28. D 29. C 30. D 31. C 13. C 12. D 12. E 3. A 32. B 27. E 34. C 14. D 25. B 26. Answer Key 969 BC 97 BC. C. E. B. D 5. E 6. B 7. D 8. C 9. D. A. B. E. C. D 5. B 6. B 7. B 8. E 9. C. A. B. E. D. C 5. A 6. C 7. C 8. D 9. C. D. C. B. A. D 5. A 6. B 7. D 8. A 9. D. E. D. B. E. E 5. E.

More information

Real Analysis Math 125A, Fall 2012 Final Solutions

Real Analysis Math 125A, Fall 2012 Final Solutions Real Analysis Math 25A, Fall 202 Final Solutions. (a) Suppose that f : [0, ] R is continuous on the closed, bounded interval [0, ] and f() > 0 for every 0. Prove that the reciprocal function /f : [0, ]

More information

CHAPTER 2 First Order Equations

CHAPTER 2 First Order Equations CHAPTER 2 First Order Equations IN THIS CHAPTER we study first order equations for which there are general methods of solution. SECTION 2.1 deals with linear equations, the simplest kind of first order

More information

MATH 409 Advanced Calculus I Lecture 10: Continuity. Properties of continuous functions.

MATH 409 Advanced Calculus I Lecture 10: Continuity. Properties of continuous functions. MATH 409 Advanced Calculus I Lecture 10: Continuity. Properties of continuous functions. Continuity Definition. Given a set E R, a function f : E R, and a point c E, the function f is continuous at c if

More information

Taylor Series and Asymptotic Expansions

Taylor Series and Asymptotic Expansions Taylor Series and Asymptotic Epansions The importance of power series as a convenient representation, as an approimation tool, as a tool for solving differential equations and so on, is pretty obvious.

More information

= 1 2 x (x 1) + 1 {x} (1 {x}). [t] dt = 1 x (x 1) + O (1), [t] dt = 1 2 x2 + O (x), (where the error is not now zero when x is an integer.

= 1 2 x (x 1) + 1 {x} (1 {x}). [t] dt = 1 x (x 1) + O (1), [t] dt = 1 2 x2 + O (x), (where the error is not now zero when x is an integer. Problem Sheet,. i) Draw the graphs for [] and {}. ii) Show that for α R, α+ α [t] dt = α and α+ α {t} dt =. Hint Split these integrals at the integer which must lie in any interval of length, such as [α,

More information

A Symbolic Operator Approach to Several Summation Formulas for Power Series

A Symbolic Operator Approach to Several Summation Formulas for Power Series A Symbolic Operator Approach to Several Summation Formulas for Power Series T. X. He, L. C. Hsu 2, P. J.-S. Shiue 3, and D. C. Torney 4 Department of Mathematics and Computer Science Illinois Wesleyan

More information

CHAPTER 2 Limits and Their Properties

CHAPTER 2 Limits and Their Properties CHAPTER Limits and Their Properties Section. A Preview of Calculus...5 Section. Finding Limits Graphically and Numerically...5 Section. Section. Evaluating Limits Analytically...5 Continuity and One-Sided

More information

MA 1: PROBLEM SET NO. 7 SOLUTIONS

MA 1: PROBLEM SET NO. 7 SOLUTIONS MA 1: PROBLEM SET NO. 7 SOLUTIONS 1. (1) Obtain the number r = 15 3 as an approimation to the nonzero root of the equation 2 = sin() by using the cubic Taylor polynomial approimation to sin(). Proof. The

More information

Tail Approximation of the Skew-Normal by the Skew-Normal Laplace: Application to Owen s T Function and the Bivariate Normal Distribution

Tail Approximation of the Skew-Normal by the Skew-Normal Laplace: Application to Owen s T Function and the Bivariate Normal Distribution Journal of Statistical and Econometric ethods vol. no. 3 - ISS: 5-557 print version 5-565online Scienpress Ltd 3 Tail Approimation of the Skew-ormal by the Skew-ormal Laplace: Application to Owen s T Function

More information

Solutions to Math 41 Final Exam December 9, 2013

Solutions to Math 41 Final Exam December 9, 2013 Solutions to Math 4 Final Eam December 9,. points In each part below, use the method of your choice, but show the steps in your computations. a Find f if: f = arctane csc 5 + log 5 points Using the Chain

More information

California Subject Examinations for Teachers

California Subject Examinations for Teachers CSET California Subject Eaminations for Teachers TEST GUIDE MATHEMATICS SUBTEST III Sample Questions and Responses and Scoring Information Copyright 005 by National Evaluation Systems, Inc. (NES ) California

More information

Limits and Continuous Functions. 2.2 Introduction to Limits. We first interpret limits loosely. We write. lim f(x) = L

Limits and Continuous Functions. 2.2 Introduction to Limits. We first interpret limits loosely. We write. lim f(x) = L 2 Limits and Continuous Functions 2.2 Introduction to Limits We first interpret limits loosel. We write lim f() = L and sa the limit of f() as approaches c, equals L if we can make the values of f() arbitraril

More information

Math 231 Final Exam Review

Math 231 Final Exam Review Math Final Eam Review Find the equation of the line tangent to the curve 4y y at the point (, ) Find the slope of the normal line to y ) ( e at the point (,) dy Find d if cos( y) y 4 y 4 Find the eact

More information

Math 31A Discussion Session Week 1 Notes January 5 and 7, 2016

Math 31A Discussion Session Week 1 Notes January 5 and 7, 2016 Math 31A Discussion Session Week 1 Notes January 5 and 7, 2016 This week we re discussing two important topics: its and continuity. We won t give a completely rigorous definition of either, but we ll develop

More information

Answers for NSSH exam paper 2 type of questions, based on the syllabus part 2 (includes 16)

Answers for NSSH exam paper 2 type of questions, based on the syllabus part 2 (includes 16) Answers for NSSH eam paper type of questions, based on the syllabus part (includes 6) Section Integration dy 6 6. (a) Integrate with respect to : d y c ( )d or d The curve passes through P(,) so = 6/ +

More information

Solutions to the Exercises of Chapter 8

Solutions to the Exercises of Chapter 8 8A Domains of Functions Solutions to the Eercises of Chapter 8 1 For 7 to make sense, we need 7 0or7 So the domain of f() is{ 7} For + 5 to make sense, +5 0 So the domain of g() is{ 5} For h() to make

More information

Continuity. Chapter 4

Continuity. Chapter 4 Chapter 4 Continuity Throughout this chapter D is a nonempty subset of the real numbers. We recall the definition of a function. Definition 4.1. A function from D into R, denoted f : D R, is a subset of

More information

Solutions to Math 41 First Exam October 12, 2010

Solutions to Math 41 First Exam October 12, 2010 Solutions to Math 41 First Eam October 12, 2010 1. 13 points) Find each of the following its, with justification. If the it does not eist, eplain why. If there is an infinite it, then eplain whether it

More information

Chapter 2: Functions, Limits and Continuity

Chapter 2: Functions, Limits and Continuity Chapter 2: Functions, Limits and Continuity Functions Limits Continuity Chapter 2: Functions, Limits and Continuity 1 Functions Functions are the major tools for describing the real world in mathematical

More information

4.3 - How Derivatives Affect the Shape of a Graph

4.3 - How Derivatives Affect the Shape of a Graph 4.3 - How Derivatives Affect the Shape of a Graph 1. Increasing and Decreasing Functions Definition: A function f is (strictly) increasing on an interval I if for every 1, in I with 1, f 1 f. A function

More information

Markscheme May 2016 Calculus Higher level Paper 3

Markscheme May 2016 Calculus Higher level Paper 3 M16/5/MATHL/HP3/ENG/TZ0/SE/M Markscheme May 016 Calculus Higher level Paper 3 13 pages M16/5/MATHL/HP3/ENG/TZ0/SE/M This markscheme is the property of the International Baccalaureate and must not be reproduced

More information

Additional Material On Recursive Sequences

Additional Material On Recursive Sequences Penn State Altoona MATH 141 Additional Material On Recursive Sequences 1. Graphical Analsis Cobweb Diagrams Consider a generic recursive sequence { an+1 = f(a n ), n = 1,, 3,..., = Given initial value.

More information

Nonlinear eigenvalue problems for higher order model equations

Nonlinear eigenvalue problems for higher order model equations Nonlinear eigenvalue problems for higher order model equations L.A. Peletier Mathematical Institute, Leiden University PB 951, 3 RA Leiden, The Netherlands e-mail: peletier@math.leidenuniv.nl 1 Introduction

More information

1 Continuity and Limits of Functions

1 Continuity and Limits of Functions Week 4 Summary This week, we will move on from our discussion of sequences and series to functions. Even though sequences and functions seem to be very different things, they very similar. In fact, we

More information

An Introduction to the Gamma Function

An Introduction to the Gamma Function UNIVERSITY OF WARWICK Second Year Essay An Introduction to the Gamma Function Tutor: Dr. Stefan Adams April 4, 29 Contents 1 Introduction 2 2 Conve Functions 3 3 The Gamma Function 7 4 The Bohr-Möllerup

More information

Calculus - Chapter 2 Solutions

Calculus - Chapter 2 Solutions Calculus - Chapter Solutions. a. See graph at right. b. The velocity is decreasing over the entire interval. It is changing fastest at the beginning and slowest at the end. c. A = (95 + 85)(5) = 450 feet

More information

Time: 1 hour 30 minutes

Time: 1 hour 30 minutes Paper Reference(s) 6665/01 Edecel GCE Core Mathematics C Silver Level S Time: 1 hour 0 minutes Materials required for eamination papers Mathematical Formulae (Green) Items included with question Nil Candidates

More information

October 27, 2018 MAT186 Week 3 Justin Ko. We use the following notation to describe the limiting behavior of functions.

October 27, 2018 MAT186 Week 3 Justin Ko. We use the following notation to describe the limiting behavior of functions. October 27, 208 MAT86 Week 3 Justin Ko Limits. Intuitive Definitions of Limits We use the following notation to describe the iting behavior of functions.. (Limit of a Function A it is written as f( = L

More information

Math 180, Final Exam, Spring 2008 Problem 1 Solution. 1. For each of the following limits, determine whether the limit exists and, if so, evaluate it.

Math 180, Final Exam, Spring 2008 Problem 1 Solution. 1. For each of the following limits, determine whether the limit exists and, if so, evaluate it. Math 80, Final Eam, Spring 008 Problem Solution. For each of the following limits, determine whether the limit eists and, if so, evaluate it. + (a) lim 0 (b) lim ( ) 3 (c) lim Solution: (a) Upon substituting

More information

1 Exponential Functions Limit Derivative Integral... 5

1 Exponential Functions Limit Derivative Integral... 5 Contents Eponential Functions 3. Limit................................................. 3. Derivative.............................................. 4.3 Integral................................................

More information

Key- Math 231 Final Exam Review

Key- Math 231 Final Exam Review Key- Math Final Eam Review Find the equation of the line tangent to the curve y y at the point (, ) y-=(-/)(-) Find the slope of the normal line to y ) ( e at the point (,) dy Find d if cos( y) y y (ysiny+y)/(-siny-y^-^)

More information

SOME FORMULAS OF RAMANUJAN INVOLVING BESSEL FUNCTIONS. Henri Cohen

SOME FORMULAS OF RAMANUJAN INVOLVING BESSEL FUNCTIONS. Henri Cohen SOME FORMULAS OF RAMANUJAN INVOLVING BESSEL FUNCTIONS by Henri Cohen Abstract. We generalize a number of summation formulas involving the K-Bessel function, due to Ramanujan, Koshliakov, and others. Résumé.

More information

Review sheet Final Exam Math 140 Calculus I Fall 2015 UMass Boston

Review sheet Final Exam Math 140 Calculus I Fall 2015 UMass Boston Review sheet Final Eam Math Calculus I Fall 5 UMass Boston The eam is closed tetbook NO CALCULATORS OR ELECTRONIC DEVICES ARE ALLOWED DURING THE EXAM The final eam will contain problems of types similar

More information

Fundamental Theorem of Calculus

Fundamental Theorem of Calculus Fundamental Theorem of Calculus MATH 6 Calculus I J. Robert Buchanan Department of Mathematics Summer 208 Remarks The Fundamental Theorem of Calculus (FTC) will make the evaluation of definite integrals

More information

3.1 ANALYSIS OF FUNCTIONS I INCREASE, DECREASE, AND CONCAVITY

3.1 ANALYSIS OF FUNCTIONS I INCREASE, DECREASE, AND CONCAVITY MATH00 (Calculus).1 ANALYSIS OF FUNCTIONS I INCREASE, DECREASE, AND CONCAVITY Name Group No. KEYWORD: increasing, decreasing, constant, concave up, concave down, and inflection point Eample 1. Match the

More information

AP Calculus AB/IB Math SL2 Unit 1: Limits and Continuity. Name:

AP Calculus AB/IB Math SL2 Unit 1: Limits and Continuity. Name: AP Calculus AB/IB Math SL Unit : Limits and Continuity Name: Block: Date:. A bungee jumper dives from a tower at time t = 0. Her height h (in feet) at time t (in seconds) is given by the graph below. In

More information

Harmonic Analysis Homework 5

Harmonic Analysis Homework 5 Harmonic Analysis Homework 5 Bruno Poggi Department of Mathematics, University of Minnesota November 4, 6 Notation Throughout, B, r is the ball of radius r with center in the understood metric space usually

More information

A Basic Course in Real Analysis Prof. P. D. Srivastava Department of Mathematics Indian Institute of Technology, Kharagpur

A Basic Course in Real Analysis Prof. P. D. Srivastava Department of Mathematics Indian Institute of Technology, Kharagpur A Basic Course in Real Analysis Prof. P. D. Srivastava Department of Mathematics Indian Institute of Technology, Kharagpur Lecture - 36 Application of MVT, Darbou Theorem, L Hospital Rule (Refer Slide

More information

Continuity. Chapter 4

Continuity. Chapter 4 Chapter 4 Continuity Throughout this chapter D is a nonempty subset of the real numbers. We recall the definition of a function. Definition 4.1. A function from D into R, denoted f : D R, is a subset of

More information

Math 2250 Final Exam Practice Problem Solutions. f(x) = ln x x. 1 x. lim. lim. x x = lim. = lim 2

Math 2250 Final Exam Practice Problem Solutions. f(x) = ln x x. 1 x. lim. lim. x x = lim. = lim 2 Math 5 Final Eam Practice Problem Solutions. What are the domain and range of the function f() = ln? Answer: is only defined for, and ln is only defined for >. Hence, the domain of the function is >. Notice

More information

Section 4.4 The Fundamental Theorem of Calculus

Section 4.4 The Fundamental Theorem of Calculus Section 4.4 The Fundamental Theorem of Calculus The First Fundamental Theorem of Calculus If f is continuous on the interval [a,b] and F is any function that satisfies F '() = f() throughout this interval

More information

Pre-Calculus and Trigonometry Capacity Matrix

Pre-Calculus and Trigonometry Capacity Matrix Pre-Calculus and Capacity Matri Review Polynomials A1.1.4 A1.2.5 Add, subtract, multiply and simplify polynomials and rational epressions Solve polynomial equations and equations involving rational epressions

More information

AP Calculus BC Chapter 8: Integration Techniques, L Hopital s Rule and Improper Integrals

AP Calculus BC Chapter 8: Integration Techniques, L Hopital s Rule and Improper Integrals AP Calculus BC Chapter 8: Integration Techniques, L Hopital s Rule and Improper Integrals 8. Basic Integration Rules In this section we will review various integration strategies. Strategies: I. Separate

More information

211 Real Analysis. f (x) = x2 1. x 1. x 2 1

211 Real Analysis. f (x) = x2 1. x 1. x 2 1 Part. Limits of functions. Introduction 2 Real Analysis Eample. What happens to f : R \ {} R, given by f () = 2,, as gets close to? If we substitute = we get f () = 0 which is undefined. Instead we 0 might

More information

4. (6 points) Express the domain of the following function in interval notation:

4. (6 points) Express the domain of the following function in interval notation: Eam 1-A L. Ballou Name Math 131 Calculus I September 1, 016 NO Calculator Allowed BOX YOUR ANSWER! Show all work for full credit! 1. (4 points) Write an equation of a line with y-intercept 4 and -intercept

More information

UC Merced: MATH 21 Final Exam 16 May 2006

UC Merced: MATH 21 Final Exam 16 May 2006 UC Merced: MATH 2 Final Eam 6 May 2006 On the front of your bluebook print () your name, (2) your student ID number, (3) your instructor s name (Bianchi) and () a grading table. Show all work in your bluebook

More information

5.6 Asymptotes; Checking Behavior at Infinity

5.6 Asymptotes; Checking Behavior at Infinity 5.6 Asymptotes; Checking Behavior at Infinity checking behavior at infinity DEFINITION asymptote In this section, the notion of checking behavior at infinity is made precise, by discussing both asymptotes

More information

2014 Mathematics. Advanced Higher. Finalised Marking Instructions

2014 Mathematics. Advanced Higher. Finalised Marking Instructions 0 Mathematics Advanced Higher Finalised ing Instructions Scottish Qualifications Authority 0 The information in this publication may be reproduced to support SQA qualifications only on a noncommercial

More information

DIFFERENTIAL EQUATIONS WITH A DIFFERENCE QUOTIENT

DIFFERENTIAL EQUATIONS WITH A DIFFERENCE QUOTIENT Electronic Journal of Differential Equations, Vol. 217 (217, No. 227, pp. 1 42. ISSN: 172-6691. URL: http://ejde.math.tstate.edu or http://ejde.math.unt.edu DIFFERENTIAL EQUATIONS WITH A DIFFERENCE QUOTIENT

More information

Limits, Continuity, and Differentiability Solutions

Limits, Continuity, and Differentiability Solutions Limits, Continuity, and Differentiability Solutions We have intentionally included more material than can be covered in most Student Study Sessions to account for groups that are able to answer the questions

More information

Pre-Calculus Mathematics Limit Process Calculus

Pre-Calculus Mathematics Limit Process Calculus NOTES : LIMITS AND DERIVATIVES Name: Date: Period: Mrs. Nguyen s Initial: LESSON.1 THE TANGENT AND VELOCITY PROBLEMS Pre-Calculus Mathematics Limit Process Calculus The type of it that is used to find

More information

2017 HSC Mathematics Extension 1 Marking Guidelines

2017 HSC Mathematics Extension 1 Marking Guidelines 07 HSC Mathematics Extension Marking Guidelines Section I Multiple-choice Answer Key Question Answer A B 3 B 4 C 5 D 6 D 7 A 8 C 9 C 0 B NESA 07 HSC Mathematics Extension Marking Guidelines Section II

More information

MATH 116, LECTURES 10 & 11: Limits

MATH 116, LECTURES 10 & 11: Limits MATH 6, LECTURES 0 & : Limits Limits In application, we often deal with quantities which are close to other quantities but which cannot be defined eactly. Consider the problem of how a car s speedometer

More information

MATH section 3.1 Maximum and Minimum Values Page 1 of 7

MATH section 3.1 Maximum and Minimum Values Page 1 of 7 MATH section. Maimum and Minimum Values Page of 7 Definition : Let c be a number in the domain D of a function f. Then c ) is the Absolute maimum value of f on D if ) c f() for all in D. Absolute minimum

More information

Brief Revision Notes and Strategies

Brief Revision Notes and Strategies Brief Revision Notes and Strategies Straight Line Distance Formula d = ( ) + ( y y ) d is distance between A(, y ) and B(, y ) Mid-point formula +, y + M y M is midpoint of A(, y ) and B(, y ) y y Equation

More information

THE inverse tangent function is an elementary mathematical

THE inverse tangent function is an elementary mathematical A Sharp Double Inequality for the Inverse Tangent Function Gholamreza Alirezaei arxiv:307.983v [cs.it] 8 Jul 03 Abstract The inverse tangent function can be bounded by different inequalities, for eample

More information

Taylor Series and Series Convergence (Online)

Taylor Series and Series Convergence (Online) 7in 0in Felder c02_online.te V3 - February 9, 205 9:5 A.M. Page CHAPTER 2 Taylor Series and Series Convergence (Online) 2.8 Asymptotic Epansions In introductory calculus classes the statement this series

More information

Definition of Tangent Line with Slope m: If f is defined on an open interval containing x, and if the limit y f( c x) f( c) f( c x) f( c) lim lim lim

Definition of Tangent Line with Slope m: If f is defined on an open interval containing x, and if the limit y f( c x) f( c) f( c x) f( c) lim lim lim Derivatives and the Tangent Line Problem Objective: Find the slope of the tangent line to a curve at a point. Use the limit definition to find the derivative of a function. Understand the relationship

More information

6665/01 Edexcel GCE Core Mathematics C3 Bronze Level B3

6665/01 Edexcel GCE Core Mathematics C3 Bronze Level B3 Paper Reference(s) 6665/0 Edecel GCE Core Mathematics C3 Bronze Level B3 Time: hour 30 minutes Materials required for eamination papers Mathematical Formulae (Green) Items included with question Nil Candidates

More information

2nd-Order Linear Equations

2nd-Order Linear Equations 4 2nd-Order Linear Equations 4.1 Linear Independence of Functions In linear algebra the notion of linear independence arises frequently in the context of vector spaces. If V is a vector space over the

More information

MORE CURVE SKETCHING

MORE CURVE SKETCHING Mathematics Revision Guides More Curve Sketching Page of 3 MK HOME TUITION Mathematics Revision Guides Level: AS / A Level MEI OCR MEI: C4 MORE CURVE SKETCHING Version : 5 Date: 05--007 Mathematics Revision

More information

abc Mathematics Further Pure General Certificate of Education SPECIMEN UNITS AND MARK SCHEMES

abc Mathematics Further Pure General Certificate of Education SPECIMEN UNITS AND MARK SCHEMES abc General Certificate of Education Mathematics Further Pure SPECIMEN UNITS AND MARK SCHEMES ADVANCED SUBSIDIARY MATHEMATICS (56) ADVANCED SUBSIDIARY PURE MATHEMATICS (566) ADVANCED SUBSIDIARY FURTHER

More information

Things to remember: x n a 1. x + a 0. x n + a n-1. P(x) = a n. Therefore, lim g(x) = 1. EXERCISE 3-2

Things to remember: x n a 1. x + a 0. x n + a n-1. P(x) = a n. Therefore, lim g(x) = 1. EXERCISE 3-2 lim f() = lim (0.8-0.08) = 0, " "!10!10 lim f() = lim 0 = 0.!10!10 Therefore, lim f() = 0.!10 lim g() = lim (0.8 - "!10!10 0.042-3) = 1, " lim g() = lim 1 = 1.!10!0 Therefore, lim g() = 1.!10 EXERCISE

More information

On the Convergence of the Summation Formulas Constructed by Using a Symbolic Operator Approach

On the Convergence of the Summation Formulas Constructed by Using a Symbolic Operator Approach On the Convergence of the Summation Formulas Constructed by Using a Symbolic Operator Approach Tian-Xiao He 1, Leetsch C. Hsu 2, and Peter J.-S. Shiue 3 1 Department of Mathematics and Computer Science

More information

Math RE - Calculus I Functions Page 1 of 10. Topics of Functions used in Calculus

Math RE - Calculus I Functions Page 1 of 10. Topics of Functions used in Calculus Math 0-03-RE - Calculus I Functions Page of 0 Definition of a function f() : Topics of Functions used in Calculus A function = f() is a relation between variables and such that for ever value onl one value.

More information

Chapter 2 Overview: Anti-Derivatives. As noted in the introduction, Calculus is essentially comprised of four operations.

Chapter 2 Overview: Anti-Derivatives. As noted in the introduction, Calculus is essentially comprised of four operations. Chapter Overview: Anti-Derivatives As noted in the introduction, Calculus is essentially comprised of four operations. Limits Derivatives Indefinite Integrals (or Anti-Derivatives) Definite Integrals There

More information

A Text book of MATHEMATICS-I. Career Institute of Technology and Management, Faridabad. Manav Rachna Publishing House Pvt. Ltd.

A Text book of MATHEMATICS-I. Career Institute of Technology and Management, Faridabad. Manav Rachna Publishing House Pvt. Ltd. A Tet book of ENGINEERING MATHEMATICS-I by Prof. R.S. Goel E. Principal, Aggarwal College, Ballabhgarh Senior Faculty of Mathematics Career Institute of Technology and Management, Faridabad Dr. Y.K. Sharma

More information

FUNDAMENTALS OF REAL ANALYSIS by. IV.1. Differentiation of Monotonic Functions

FUNDAMENTALS OF REAL ANALYSIS by. IV.1. Differentiation of Monotonic Functions FUNDAMNTALS OF RAL ANALYSIS by Doğan Çömez IV. DIFFRNTIATION AND SIGND MASURS IV.1. Differentiation of Monotonic Functions Question: Can we calculate f easily? More eplicitly, can we hope for a result

More information