The definition of the fractional derivative was discussed in the last chapter. These

Size: px
Start display at page:

Download "The definition of the fractional derivative was discussed in the last chapter. These"

Transcription

1 Chapter 3 Local Fractional Derivatives 3.1 Motivation The definition of the fractional derivative was discussed in the last chapter. These derivatives differ in some aspects from integer order derivatives. In order to see this, one may note, from equation (2.4), that except when (51 is a positive integer, the q^^ derivative is nonlocal as it depends on the lower limit 'a'. The same feature is also shown by other definitions. However, we wish to study local scaling properties and hence we need to modify this definition accordingly. Secondly from equation (2.23) it is clear that the fractional derivative of a constant function is not zero. Therefore adding a constant to a function alters the value of the fractional derivative. This is an undesirable property of the fractional derivatives to study fractional differentiability. While constructing local fractional derivative operator, we have to correct for these two features. This forces one to choose the lower limit as well as the additive constant 47

2 before hand. The most natural choices are as follows. 1) We subtract, from the function, the value of the function at the point where we want to study the local scaling property. This makes the value of the function zero at that point, canceling the effect of any constant term. 2) Natural choice of a lower limit will again be that point itself, where we intend to examine the local scaling. In the following section we formally introduce the concept of local fractional derivative. 3.2 Definition Definition 4 If, for a function f : [0,1] -^ IR, the limit l)'/to) = lim'"'^'"'-(<"». 0<,<1 (3.1) ^->y d{x y)i exists and is finite, then we say that the local fractional derivative (LFD) of order q (denoted by E)'^f{y)), at y, exists. This defines the LFD for 0 < g < 1. It was first introduced in [1], and later generalized [2] to include all positive values of q as follows. Definition 5 //, for a function f : [0,1] > JR, the limit ^^' ^^y [d{x-y)]i exists and is finite, where N is the largest integer for which N^ derivative of f(x) at y exists and is finite, then we say that the local fractional derivative (LFD) of order q {N < q < N + 1), at X = y, exists. 48

3 We subtract the Taylor series term in the above definition for the same reason as one subtracts f{y) in the definition 4. We do this to supress any regular behavior that may mask the local singularity. Definition 6 The critical order a, at y, of a function f is a{y) = sup{q\d'''f{y), q < q, exists}. Sometimes it is essential to distinguish between limits, and hence the critical order, taken from above and below. In that case we define ^^^^'^ = i?^ [d±i.~y)]^ ^^-'^ We will assume E)'^ E)\ unless mentioned otherwise. As an example consider the function f{x) = Ixl'', a > 0. The critical order of this function from above at origin is a when a is noninteger and is oo when a is an integer. The local fractional derivative that we have defined above reduces to the usual derivatives of integer order when <? is a positive integer. In order to see this point for g = 1 we consider equation (3.1). Since the Riemann-Liouville fractional derivative on RHS of equation (3.1) reduces to ordinary first derivative when q \ (This follows from the relation d d'^fjx) d^+^f{x) dx [d{x - y)y ~ [d{x - y)]«+i and setting q = 0. For details, see the book by Oldham and Spanier [3], page 50. See also ref. [5]), we get ID^fiy) = lim^impm. (3.4) ^->-y ax 49

4 Now since f{y) is constant its derivative is zero. Therefore after taking the limit we get ID'fiy) = ^. (3.5) For N < q < N + I the definition of local fractional derivative is «,;( =,j:mz^j^,mtziyi,3., '^^' ^^y [d{x-y)]i ^ ' Now, li q n (i.e. A^ = n 1 in view of the above range of q), we get ^"[/(^) - E.-0 TT^i^ - y)'] DV(y) = lim ^^ ^ ^'-oro+d^ ^^ ^ ^^ Again since y is a constant idv(y) = ^ ^. (3.8) Therefore, for g = n, local fractional derivative reduces to nth order derivative. From this it is clear that in our construction local fractional derivatives generalize the usual derivatives to fractional order keeping the local nature of the derivative operator intact, in contrast to other definitions of fractional derivatives. The local nature of the operation of derivation is crucial at many places, for instance, in studying differentiable structure of complicated manifolds, studying evolution of physical systems locally, etc. The virtue of such a local quantity will be evident in the following section where we show that the local fractional derivative appears naturally in the fractional Taylor expansion. This will imply that the LFDs are not introduced in an ad hoc manner merely to satisfy the two conditions mentioned in the beginning, but they have their own importance. 50

5 3.3 Local fractional Taylor expansion An interesting consequence of the above definitions is that the LFDs appear naturally in the fractional Taylor expansion. Derivation of local fractional Taylor expansion We follow the usual procedure to derive Taylor expansion with a remainder [10]. In order to derive local fractional Taylor expansion, let It is clear that ld'f{y) = F{yAq) (3-10) Now, for 0 < 9 < 1, [d{x-y)\ ^[d{x-y)\i provided the last term exists. Thus = ^^[F{y.t;q)j{x-y-tr'dt]r 1 f-ydf{y,t;q){x-y-t)^,-. mvjlsl^szlzlljt (3.12) r(g) Jo dt q f[x)-f[y) = ^flj(^-^)', _ l r - ^ d F i y J ^ (3.13) r(<?+i)yo dt ^ '^ ' ^ ^ 51

6 I.e. /(x) = f{y) + ^ ^ ( ^ - y)" + U^. y) (3.i4) 1(9 + 1) where Rg{x^y) is a remainder given by Equation (3.14) is a fractional Taylor expansion of f{x) involving only the lowest and the second leading terms. Using the general definition of LFD and following similar steps one arrives at the fractional Taylor expansion for A^ < 9 < A'^ + 1 (provided id' exists), given by, w here /w = :4f^(-yr + f(^(-w' + fi,(x,.) (3.16) We note that the local fractional derivative (not just fractional derivative) as defined above provides the coefficient A in the approximation of f{x) by the function f{y) + A{x - yyit{q + 1), for 0 < 9 < 1, in the vicinity of y. We further note that the terms on the RHS of eqn(3.13) are nontrivial and finite only in the case q = a. Osier in ref.[ll] has constructed fractional Taylor series using usual (not local in the sense above) fractional derivatives. His results are, however, applicable to analytic functions and cannot be used for non-differentiable scaling functions directly. Furthermore, Osier's formulation involves terms with negative q also and hence is not suitable for approximating schemes. 52

7 Let us consider the function f{x) = x'^, x,a > 0. Then D'^f{0) = T{a + 1) and using equation (3.16) at j/ = 0 we get J{x) = x" since the remainder term turns out to be zero. Geometrical interpretation of LFD It is well known [5] that one can not attach any geometrical interpretation to the conventional fractional derivatives as one does for ordinary derivatives. Whereas, the local fractional Taylor expansion of section 3.3 suggests a possibility of such an interpretation for LFDs. In order to see this note that when q is set equal to unity in the equation (3.14) one gets the equation of the tangent. It may be recalled that all the curves passing through a point y and having same tangent form an equivalence class (which is modeled by a linear behavior). Analogously all the functions (curves) with the same critical order a and the same E)" will form an equivalence class modeled by x ' (If / differs from x by a logarithmic correction then terms on RHS of eqn(3.13) do not make sense like in the ordinary calculus). This is how one may generalize the geometric interpretation of derivatives in terms of 'tangents'. This observation is useful when one wants to approximate an irregular function by a piecewise smooth (scaling) function. 53

8 3.4 Generalization to higher dimensional functions The definition of the Local fractional derivative can be generalized [4] for higher dimensional functions in the following manner. Consider a function / : IR^ > R. We define ^(y,0 = /(y + vo-/(y), veir", teir. (3.18) Then the directional-lfd of / at y of order g, 0 < g < 1, in the direction v is given (provided it exists) by ldim=^^^^\i=o (3.19) where the RHS involves the usual fractional derivative of equation (2.4). The directional LFDs along the unit vector e, will be called i'^ partial-lfd. 3.5 Some remarks 1. We would like to point out that there is a multiplicity of definitions of fractional derivatives. The use of Riemann-Liouville definition, and other equivalent definitions such as Grunwald's definition are suitable for our purpose. The other definitions of fractional derivatives which do not allow control over both the limits, such as WAj'eL's definition or definition using Fourier transforms, are not suitable since it would not be possible to retrieve local nature of differentiability property which is essential for study of local behavior. Also, the important 54

9 difference between our work and the work of [8, 9] is that while we are trying to study the local scaling behavior these works apply to asymptotic scaling properties. 2. It is interesting to note that the same definition of LFD can be used for negative values of the critical order between -1 and 0. For this range of critical orders iv = 1 and the sum in equation (3.2) is empty. As a result the expression for LFD becomes ^' ^(2/) - l i m - ^ ^ ^ (3.20) ^^y [d[x - y)y An equivalence between the critical order and the Holder exponent, for positive values of critical order, will be proved in chapter 3. Here we would like to point out that the negative Holder exponents do arise in real physical situation of turbulent velocity field (see [12, 13] and references therein). 3. Another way of generalizing the LFD to the values of critical order beyond 1 would have been to write it as ^.;(,),H OT^)-/""(=/)),3,21) ^ ' ^^y [(/(x-y)]? ^ ' But the existence of A^"* derivative of / at x may not be guaranteed in general. Such a situation may arise in the ca^e of multifractal functions to be treated in chapter 5. 00

10 References [1] K. M. Kolwankar and A. D. Gangal, Chaos (1996). [2] K. M. Kolwankar and A. D. Gangal, Pramana - J. Phys (1997). [3] K. B. Oldham and J. Spanier The Fractional Calculus (Academic Press, New York, 1974). [4] K. M. Kolwankar and A. D. Gangal, in the proceedings of the Conference 'Fractals in Engineering', Archanon, [5] K. S. Miller and B. Ross An Introduction to the Fractional Calculus and Fractional Differential Equations ( John Wiley, New York, 1993). [6] Hilfer R., Phys. Scr (1991). [7] Hilfer R., Phys. Rev. Lett (1992). [8] Giona M. and Roman H. E., J. Phys. A: Math Gen (1992). [9] G15ckle W. G. and Nonnenmacher T. F.. J. Stat. Phys (1993). 56

11 [10] R. Courant and F. John, Introduction to Calculus and Analysis (John Wiley, New York, 1965) Vol 1. [11] Osier T. J., SIAM J. Math. Anal (1971). [12] I. Eyink J. Stat. Phys. 78, 353 (1995). [13] S. Jaffard, To appear in SIAM J. of Math. Anal.. 0/

On the Concept of Local Fractional Differentiation

On the Concept of Local Fractional Differentiation On the Concept of Local Fractional Differentiation Xiaorang Li, Matt Davison, and Chris Essex Department of Applied Mathematics, The University of Western Ontario, London, Canada, N6A 5B7 {xli5,essex,mdavison}@uwo.ca

More information

Research Article He s Variational Iteration Method for Solving Fractional Riccati Differential Equation

Research Article He s Variational Iteration Method for Solving Fractional Riccati Differential Equation International Differential Equations Volume 2010, Article ID 764738, 8 pages doi:10.1155/2010/764738 Research Article He s Variational Iteration Method for Solving Fractional Riccati Differential Equation

More information

SMOOTHNESS PROPERTIES OF SOLUTIONS OF CAPUTO- TYPE FRACTIONAL DIFFERENTIAL EQUATIONS. Kai Diethelm. Abstract

SMOOTHNESS PROPERTIES OF SOLUTIONS OF CAPUTO- TYPE FRACTIONAL DIFFERENTIAL EQUATIONS. Kai Diethelm. Abstract SMOOTHNESS PROPERTIES OF SOLUTIONS OF CAPUTO- TYPE FRACTIONAL DIFFERENTIAL EQUATIONS Kai Diethelm Abstract Dedicated to Prof. Michele Caputo on the occasion of his 8th birthday We consider ordinary fractional

More information

On The Leibniz Rule And Fractional Derivative For Differentiable And Non-Differentiable Functions

On The Leibniz Rule And Fractional Derivative For Differentiable And Non-Differentiable Functions On The Leibniz Rule And Fractional Derivative For Differentiable And Non-Differentiable Functions Xiong Wang Center of Chaos and Complex Network, Department of Electronic Engineering, City University of

More information

Infinite series, improper integrals, and Taylor series

Infinite series, improper integrals, and Taylor series Chapter 2 Infinite series, improper integrals, and Taylor series 2. Introduction to series In studying calculus, we have explored a variety of functions. Among the most basic are polynomials, i.e. functions

More information

Local Fractional Laplace s Transform Based Local Fractional Calculus

Local Fractional Laplace s Transform Based Local Fractional Calculus From the SelectedWork of Xiao-Jun Yang 2 Local Fractional Laplace Tranform Baed Local Fractional Calculu Yang Xiaojun Available at: http://workbeprecom/yang_iaojun/8/ Local Fractional Laplace Tranform

More information

Local Fractional Calculus: a Review

Local Fractional Calculus: a Review Local Fractional Calculus: a Review Kiran M. Kolwankar arxiv:1307.0739v1 [nlin.cd] 2 Jul 2013 Department of Physics, Ramniranjan Jhunjhunwala College, Ghtakopar(W), Mumbai 400086 India Kiran.Kolwankar@gmail.com

More information

Section Taylor and Maclaurin Series

Section Taylor and Maclaurin Series Section.0 Taylor and Maclaurin Series Ruipeng Shen Feb 5 Taylor and Maclaurin Series Main Goal: How to find a power series representation for a smooth function us assume that a smooth function has a power

More information

Definition 5.1. A vector field v on a manifold M is map M T M such that for all x M, v(x) T x M.

Definition 5.1. A vector field v on a manifold M is map M T M such that for all x M, v(x) T x M. 5 Vector fields Last updated: March 12, 2012. 5.1 Definition and general properties We first need to define what a vector field is. Definition 5.1. A vector field v on a manifold M is map M T M such that

More information

On boundary value problems for fractional integro-differential equations in Banach spaces

On boundary value problems for fractional integro-differential equations in Banach spaces Malaya J. Mat. 3425 54 553 On boundary value problems for fractional integro-differential equations in Banach spaces Sabri T. M. Thabet a, and Machindra B. Dhakne b a,b Department of Mathematics, Dr. Babasaheb

More information

EXACT TRAVELING WAVE SOLUTIONS FOR NONLINEAR FRACTIONAL PARTIAL DIFFERENTIAL EQUATIONS USING THE IMPROVED (G /G) EXPANSION METHOD

EXACT TRAVELING WAVE SOLUTIONS FOR NONLINEAR FRACTIONAL PARTIAL DIFFERENTIAL EQUATIONS USING THE IMPROVED (G /G) EXPANSION METHOD Jan 4. Vol. 4 No. 7-4 EAAS & ARF. All rights reserved ISSN5-869 EXACT TRAVELIN WAVE SOLUTIONS FOR NONLINEAR FRACTIONAL PARTIAL DIFFERENTIAL EQUATIONS USIN THE IMPROVED ( /) EXPANSION METHOD Elsayed M.

More information

THEODORE VORONOV DIFFERENTIABLE MANIFOLDS. Fall Last updated: November 26, (Under construction.)

THEODORE VORONOV DIFFERENTIABLE MANIFOLDS. Fall Last updated: November 26, (Under construction.) 4 Vector fields Last updated: November 26, 2009. (Under construction.) 4.1 Tangent vectors as derivations After we have introduced topological notions, we can come back to analysis on manifolds. Let M

More information

Last Update: March 1 2, 201 0

Last Update: March 1 2, 201 0 M ath 2 0 1 E S 1 W inter 2 0 1 0 Last Update: March 1 2, 201 0 S eries S olutions of Differential Equations Disclaimer: This lecture note tries to provide an alternative approach to the material in Sections

More information

MATH 1231 MATHEMATICS 1B Calculus Section 4.4: Taylor & Power series.

MATH 1231 MATHEMATICS 1B Calculus Section 4.4: Taylor & Power series. MATH 1231 MATHEMATICS 1B 2010. For use in Dr Chris Tisdell s lectures. Calculus Section 4.4: Taylor & Power series. 1. What is a Taylor series? 2. Convergence of Taylor series 3. Common Maclaurin series

More information

Fractional Order Heat Equation in Higher Space-Time Dimensions

Fractional Order Heat Equation in Higher Space-Time Dimensions Fractional Order Heat Equation in Higher Space-Time Dimensions Dimple Singh a,, Bhupendra Nath Tiwari b,, Nunu Yadav c, 3 a, b, c Amity School of Applied Sciences, Amity University Haryana Gurgaon, India

More information

Calculus Example Exam Solutions

Calculus Example Exam Solutions Calculus Example Exam Solutions. Limits (8 points, 6 each) Evaluate the following limits: p x 2 (a) lim x 4 We compute as follows: lim p x 2 x 4 p p x 2 x +2 x 4 p x +2 x 4 (x 4)( p x + 2) p x +2 = p 4+2

More information

ON FRACTIONAL RELAXATION

ON FRACTIONAL RELAXATION Fractals, Vol. 11, Supplementary Issue (February 2003) 251 257 c World Scientific Publishing Company ON FRACTIONAL RELAXATION R. HILFER ICA-1, Universität Stuttgart Pfaffenwaldring 27, 70569 Stuttgart,

More information

On Cauchy s theorem and Green s theorem

On Cauchy s theorem and Green s theorem MA 525 On Cauchy s theorem and Green s theorem 1. Introduction No doubt the most important result in this course is Cauchy s theorem. There are many ways to formulate it, but the most simple, direct and

More information

Time fractional Schrödinger equation

Time fractional Schrödinger equation Time fractional Schrödinger equation Mark Naber a) Department of Mathematics Monroe County Community College Monroe, Michigan, 48161-9746 The Schrödinger equation is considered with the first order time

More information

2tdt 1 y = t2 + C y = which implies C = 1 and the solution is y = 1

2tdt 1 y = t2 + C y = which implies C = 1 and the solution is y = 1 Lectures - Week 11 General First Order ODEs & Numerical Methods for IVPs In general, nonlinear problems are much more difficult to solve than linear ones. Unfortunately many phenomena exhibit nonlinear

More information

AP Calculus Chapter 9: Infinite Series

AP Calculus Chapter 9: Infinite Series AP Calculus Chapter 9: Infinite Series 9. Sequences a, a 2, a 3, a 4, a 5,... Sequence: A function whose domain is the set of positive integers n = 2 3 4 a n = a a 2 a 3 a 4 terms of the sequence Begin

More information

INFINITE SEQUENCES AND SERIES

INFINITE SEQUENCES AND SERIES 11 INFINITE SEQUENCES AND SERIES INFINITE SEQUENCES AND SERIES In section 11.9, we were able to find power series representations for a certain restricted class of functions. INFINITE SEQUENCES AND SERIES

More information

8.5 Taylor Polynomials and Taylor Series

8.5 Taylor Polynomials and Taylor Series 8.5. TAYLOR POLYNOMIALS AND TAYLOR SERIES 50 8.5 Taylor Polynomials and Taylor Series Motivating Questions In this section, we strive to understand the ideas generated by the following important questions:

More information

Tangent Lines and Derivatives

Tangent Lines and Derivatives The Derivative and the Slope of a Graph Tangent Lines and Derivatives Recall that the slope of a line is sometimes referred to as a rate of change. In particular, we are referencing the rate at which the

More information

The geometric and physical interpretation of fractional order derivatives of polynomial functions

The geometric and physical interpretation of fractional order derivatives of polynomial functions The geometric and physical interpretation of fractional order derivatives of polynomial functions M.H. Tavassoli, A. Tavassoli, M.R. Ostad Rahimi Abstract. In this paper, after a brief mention of the definitions

More information

DRAFT - Math 101 Lecture Note - Dr. Said Algarni

DRAFT - Math 101 Lecture Note - Dr. Said Algarni 2 Limits 2.1 The Tangent Problems The word tangent is derived from the Latin word tangens, which means touching. A tangent line to a curve is a line that touches the curve and a secant line is a line that

More information

August 20, Review of Integration & the. Fundamental Theorem of Calculus. Introduction to the Natural Logarithm.

August 20, Review of Integration & the. Fundamental Theorem of Calculus. Introduction to the Natural Logarithm. to Natural Natural to Natural August 20, 2017 to Natural Natural 1 2 3 Natural 4 Incremental Accumulation of Quantities to Natural Natural Integration is a means of understanding and computing incremental

More information

MAT137 Calculus! Lecture 45

MAT137 Calculus! Lecture 45 official website http://uoft.me/mat137 MAT137 Calculus! Lecture 45 Today: Taylor Polynomials Taylor Series Next: Taylor Series Power Series Definition (Power Series) A power series is a series of the form

More information

Science One Integral Calculus

Science One Integral Calculus Science One Integral Calculus January 018 Happy New Year! Differential Calculus central idea: The Derivative What is the derivative f (x) of a function f(x)? Differential Calculus central idea: The Derivative

More information

Quantum Mechanics for Scientists and Engineers. David Miller

Quantum Mechanics for Scientists and Engineers. David Miller Quantum Mechanics for Scientists and Engineers David Miller Background mathematics 5 Sum, factorial and product notations Summation notation If we want to add a set of numbers a 1, a 2, a 3, and a 4, we

More information

2015 Math Camp Calculus Exam Solution

2015 Math Camp Calculus Exam Solution 015 Math Camp Calculus Exam Solution Problem 1: x = x x +5 4+5 = 9 = 3 1. lim We also accepted ±3, even though it is not according to the prevailing convention 1. x x 4 x+4 =. lim 4 4+4 = 4 0 = 4 0 = We

More information

Student Study Session. Theorems

Student Study Session. Theorems Students should be able to apply and have a geometric understanding of the following: Intermediate Value Theorem Mean Value Theorem for derivatives Extreme Value Theorem Name Formal Statement Restatement

More information

arxiv: v1 [physics.class-ph] 10 Dec 2017

arxiv: v1 [physics.class-ph] 10 Dec 2017 Applications of Fractional Calculus to Newtonian Mechanics Gabriele U. Varieschi Department of Physics, Loyola Marymount University - Los Angeles, CA 90045, USA Abstract arxiv:1712.03473v1 [physics.class-ph]

More information

Completion Date: Monday February 11, 2008

Completion Date: Monday February 11, 2008 MATH 4 (R) Winter 8 Intermediate Calculus I Solutions to Problem Set #4 Completion Date: Monday February, 8 Department of Mathematical and Statistical Sciences University of Alberta Question. [Sec..9,

More information

DIFFERENTIATION RULES

DIFFERENTIATION RULES 3 DIFFERENTIATION RULES DIFFERENTIATION RULES We have: Seen how to interpret derivatives as slopes and rates of change Seen how to estimate derivatives of functions given by tables of values Learned how

More information

Ma 530 Power Series II

Ma 530 Power Series II Ma 530 Power Series II Please note that there is material on power series at Visual Calculus. Some of this material was used as part of the presentation of the topics that follow. Operations on Power Series

More information

e x = 1 + x + x2 2! + x3 If the function f(x) can be written as a power series on an interval I, then the power series is of the form

e x = 1 + x + x2 2! + x3 If the function f(x) can be written as a power series on an interval I, then the power series is of the form Taylor Series Given a function f(x), we would like to be able to find a power series that represents the function. For example, in the last section we noted that we can represent e x by the power series

More information

Sturm-Liouville Theory

Sturm-Liouville Theory More on Ryan C. Trinity University Partial Differential Equations April 19, 2012 Recall: A Sturm-Liouville (S-L) problem consists of A Sturm-Liouville equation on an interval: (p(x)y ) + (q(x) + λr(x))y

More information

REVIEW OF DIFFERENTIAL CALCULUS

REVIEW OF DIFFERENTIAL CALCULUS REVIEW OF DIFFERENTIAL CALCULUS DONU ARAPURA 1. Limits and continuity To simplify the statements, we will often stick to two variables, but everything holds with any number of variables. Let f(x, y) be

More information

Fractional generalization of gradient and Hamiltonian systems

Fractional generalization of gradient and Hamiltonian systems INSTITUTE OF PHYSICS PUBLISHING JOURNAL OF PHYSICS A: MATHEMATICAL AND GENERAL J. Phys. A: Math. Gen. 38 (25) 5929 5943 doi:1.188/35-447/38/26/7 Fractional generalization of gradient and Hamiltonian systems

More information

Chapter 1 Introduction

Chapter 1 Introduction Chapter 1 Introduction During recent years the interest of physicists in nonlocal field theories has been steadily increasing. The main reason for this development is the expectation that the use of these

More information

a j x j. j=0 The number R (possibly infinite) which Theorem 1 guarantees is called the radius of convergence of the power series.

a j x j. j=0 The number R (possibly infinite) which Theorem 1 guarantees is called the radius of convergence of the power series. Lecture 6 Power series A very important class of series to study are the power series. They are interesting in part because they represent functions and in part because they encode their coefficients which

More information

Math 113 (Calculus 2) Exam 4

Math 113 (Calculus 2) Exam 4 Math 3 (Calculus ) Exam 4 November 0 November, 009 Sections 0, 3 7 Name Student ID Section Instructor In some cases a series may be seen to converge or diverge for more than one reason. For such problems

More information

Taylor and Maclaurin Series. Copyright Cengage Learning. All rights reserved.

Taylor and Maclaurin Series. Copyright Cengage Learning. All rights reserved. 11.10 Taylor and Maclaurin Series Copyright Cengage Learning. All rights reserved. We start by supposing that f is any function that can be represented by a power series f(x)= c 0 +c 1 (x a)+c 2 (x a)

More information

High Order Numerical Methods for the Riesz Derivatives and the Space Riesz Fractional Differential Equation

High Order Numerical Methods for the Riesz Derivatives and the Space Riesz Fractional Differential Equation International Symposium on Fractional PDEs: Theory, Numerics and Applications June 3-5, 013, Salve Regina University High Order Numerical Methods for the Riesz Derivatives and the Space Riesz Fractional

More information

A Cauchy Problem for Some Local Fractional Abstract Differential Equation with Fractal Conditions

A Cauchy Problem for Some Local Fractional Abstract Differential Equation with Fractal Conditions From the SelectedWorks of Xiao-Jun Yang 2013 A Cauchy Problem for Some Local Fractional Abstract Differential Equation with Fractal Conditions Yang Xiaojun Zhong Weiping Gao Feng Available at: https://works.bepress.com/yang_xiaojun/32/

More information

Integration, differentiation, and root finding. Phys 420/580 Lecture 7

Integration, differentiation, and root finding. Phys 420/580 Lecture 7 Integration, differentiation, and root finding Phys 420/580 Lecture 7 Numerical integration Compute an approximation to the definite integral I = b Find area under the curve in the interval Trapezoid Rule:

More information

Multivector Calculus

Multivector Calculus In: J. Math. Anal. and Appl., ol. 24, No. 2, c Academic Press (1968) 313 325. Multivector Calculus David Hestenes INTRODUCTION The object of this paper is to show how differential and integral calculus

More information

Received: 11 January 2019; Accepted: 25 January 2019; Published: 4 February 2019

Received: 11 January 2019; Accepted: 25 January 2019; Published: 4 February 2019 mathematics Article Desiderata for Fractional Derivatives and Integrals Rudolf Hilfer 1 and Yuri Luchko 2, 1 ICP, Fakultät für Mathematik und Physik, Universität Stuttgart, Allmandring 3, 70569 Stuttgart,

More information

Taylor and Maclaurin Series. Approximating functions using Polynomials.

Taylor and Maclaurin Series. Approximating functions using Polynomials. Taylor and Maclaurin Series Approximating functions using Polynomials. Approximating f x = e x near x = 0 In order to approximate the function f x = e x near x = 0, we can use the tangent line (The Linear

More information

Here are brief notes about topics covered in class on complex numbers, focusing on what is not covered in the textbook.

Here are brief notes about topics covered in class on complex numbers, focusing on what is not covered in the textbook. Phys374, Spring 2008, Prof. Ted Jacobson Department of Physics, University of Maryland Complex numbers version 5/21/08 Here are brief notes about topics covered in class on complex numbers, focusing on

More information

SHADOWING PROPERTY FOR INDUCED SET-VALUED DYNAMICAL SYSTEMS OF SOME EXPANSIVE MAPS

SHADOWING PROPERTY FOR INDUCED SET-VALUED DYNAMICAL SYSTEMS OF SOME EXPANSIVE MAPS Dynamic Systems and Applications 19 (2010) 405-414 SHADOWING PROPERTY FOR INDUCED SET-VALUED DYNAMICAL SYSTEMS OF SOME EXPANSIVE MAPS YUHU WU 1,2 AND XIAOPING XUE 1 1 Department of Mathematics, Harbin

More information

On Local Asymptotic Stability of q-fractional Nonlinear Dynamical Systems

On Local Asymptotic Stability of q-fractional Nonlinear Dynamical Systems Available at http://pvamuedu/aam Appl Appl Math ISSN: 1932-9466 Vol 11, Issue 1 (June 2016), pp 174-183 Applications and Applied Mathematics: An International Journal (AAM) On Local Asymptotic Stability

More information

f (x) = k=0 f (0) = k=0 k=0 a k k(0) k 1 = a 1 a 1 = f (0). a k k(k 1)x k 2, k=2 a k k(k 1)(0) k 2 = 2a 2 a 2 = f (0) 2 a k k(k 1)(k 2)x k 3, k=3

f (x) = k=0 f (0) = k=0 k=0 a k k(0) k 1 = a 1 a 1 = f (0). a k k(k 1)x k 2, k=2 a k k(k 1)(0) k 2 = 2a 2 a 2 = f (0) 2 a k k(k 1)(k 2)x k 3, k=3 1 M 13-Lecture Contents: 1) Taylor Polynomials 2) Taylor Series Centered at x a 3) Applications of Taylor Polynomials Taylor Series The previous section served as motivation and gave some useful expansion.

More information

CHAPTER 5. Higher Order Linear ODE'S

CHAPTER 5. Higher Order Linear ODE'S A SERIES OF CLASS NOTES FOR 2005-2006 TO INTRODUCE LINEAR AND NONLINEAR PROBLEMS TO ENGINEERS, SCIENTISTS, AND APPLIED MATHEMATICIANS DE CLASS NOTES 2 A COLLECTION OF HANDOUTS ON SCALAR LINEAR ORDINARY

More information

2.2 The derivative as a Function

2.2 The derivative as a Function 2.2 The derivative as a Function Recall: The derivative of a function f at a fixed number a: f a f a+h f(a) = lim h 0 h Definition (Derivative of f) For any number x, the derivative of f is f x f x+h f(x)

More information

Chapter 12: Differentiation. SSMth2: Basic Calculus Science and Technology, Engineering and Mathematics (STEM) Strands Mr. Migo M.

Chapter 12: Differentiation. SSMth2: Basic Calculus Science and Technology, Engineering and Mathematics (STEM) Strands Mr. Migo M. Chapter 12: Differentiation SSMth2: Basic Calculus Science and Technology, Engineering and Mathematics (STEM) Strands Mr. Migo M. Mendoza Chapter 12: Differentiation Lecture 12.1: The Derivative Lecture

More information

Taylor series. Chapter Introduction From geometric series to Taylor polynomials

Taylor series. Chapter Introduction From geometric series to Taylor polynomials Chapter 2 Taylor series 2. Introduction The topic of this chapter is find approximations of functions in terms of power series, also called Taylor series. Such series can be described informally as infinite

More information

6x 3 12x 2 7x 2 +16x 7x 2 +14x 2x 4

6x 3 12x 2 7x 2 +16x 7x 2 +14x 2x 4 2.3 Real Zeros of Polynomial Functions Name: Pre-calculus. Date: Block: 1. Long Division of Polynomials. We have factored polynomials of degree 2 and some specific types of polynomials of degree 3 using

More information

Math From Scratch Lesson 28: Rational Exponents

Math From Scratch Lesson 28: Rational Exponents Math From Scratch Lesson 28: Rational Exponents W. Blaine Dowler October 8, 2012 Contents 1 Exponent Review 1 1.1 x m................................. 2 x 1.2 n x................................... 2 m

More information

Learning Objectives for Math 166

Learning Objectives for Math 166 Learning Objectives for Math 166 Chapter 6 Applications of Definite Integrals Section 6.1: Volumes Using Cross-Sections Draw and label both 2-dimensional perspectives and 3-dimensional sketches of the

More information

Chaos and Liapunov exponents

Chaos and Liapunov exponents PHYS347 INTRODUCTION TO NONLINEAR PHYSICS - 2/22 Chaos and Liapunov exponents Definition of chaos In the lectures we followed Strogatz and defined chaos as aperiodic long-term behaviour in a deterministic

More information

Implicit Functions, Curves and Surfaces

Implicit Functions, Curves and Surfaces Chapter 11 Implicit Functions, Curves and Surfaces 11.1 Implicit Function Theorem Motivation. In many problems, objects or quantities of interest can only be described indirectly or implicitly. It is then

More information

The Inverse Problem of Flobenius-Perron Equations in ID Difference Systems. Osaka Kyoiku University, Osaka 543

The Inverse Problem of Flobenius-Perron Equations in ID Difference Systems. Osaka Kyoiku University, Osaka 543 991 Progress of Theoretical Physics, Vol. 86, No.5, November 1991 The Inverse Problem of Flobenius-Perron Equations in ID Difference Systems --ld Map Idealization-- Shinji KOGA Osaka Kyoiku University,

More information

TAYLOR AND MACLAURIN SERIES

TAYLOR AND MACLAURIN SERIES TAYLOR AND MACLAURIN SERIES. Introduction Last time, we were able to represent a certain restricted class of functions as power series. This leads us to the question: can we represent more general functions

More information

Math 162 Review of Series

Math 162 Review of Series Math 62 Review of Series. Explain what is meant by f(x) dx. What analogy (analogies) exists between such an improper integral and an infinite series a n? An improper integral with infinite interval of

More information

Boundary layers in a two-point boundary value problem with fractional derivatives

Boundary layers in a two-point boundary value problem with fractional derivatives Boundary layers in a two-point boundary value problem with fractional derivatives J.L. Gracia and M. Stynes Institute of Mathematics and Applications (IUMA) and Department of Applied Mathematics, University

More information

Student name: Student ID: TA s name and/or section: MATH 3B (Butler) Midterm II, 20 February 2009

Student name: Student ID: TA s name and/or section: MATH 3B (Butler) Midterm II, 20 February 2009 Student name: Student ID: TA s name and/or section: MATH 3B (Butler) Midterm II, 0 February 009 This test is closed book and closed notes. No calculator is allowed for this test. For full credit show all

More information

Chapter Generating Functions

Chapter Generating Functions Chapter 8.1.1-8.1.2. Generating Functions Prof. Tesler Math 184A Fall 2017 Prof. Tesler Ch. 8. Generating Functions Math 184A / Fall 2017 1 / 63 Ordinary Generating Functions (OGF) Let a n (n = 0, 1,...)

More information

Exact Solutions of Fractional-Order Biological Population Model

Exact Solutions of Fractional-Order Biological Population Model Commun. Theor. Phys. (Beijing China) 5 (009) pp. 99 996 c Chinese Physical Society and IOP Publishing Ltd Vol. 5 No. 6 December 15 009 Exact Solutions of Fractional-Order Biological Population Model A.M.A.

More information

Physics 250 Green s functions for ordinary differential equations

Physics 250 Green s functions for ordinary differential equations Physics 25 Green s functions for ordinary differential equations Peter Young November 25, 27 Homogeneous Equations We have already discussed second order linear homogeneous differential equations, which

More information

Last Update: April 7, 201 0

Last Update: April 7, 201 0 M ath E S W inter Last Update: April 7, Introduction to Partial Differential Equations Disclaimer: his lecture note tries to provide an alternative approach to the material in Sections.. 5 in the textbook.

More information

Notes on uniform convergence

Notes on uniform convergence Notes on uniform convergence Erik Wahlén erik.wahlen@math.lu.se January 17, 2012 1 Numerical sequences We begin by recalling some properties of numerical sequences. By a numerical sequence we simply mean

More information

Math 4263 Homework Set 1

Math 4263 Homework Set 1 Homework Set 1 1. Solve the following PDE/BVP 2. Solve the following PDE/BVP 2u t + 3u x = 0 u (x, 0) = sin (x) u x + e x u y = 0 u (0, y) = y 2 3. (a) Find the curves γ : t (x (t), y (t)) such that that

More information

Q You mentioned that in complex analysis we study analytic functions, or, in another name, holomorphic functions. Pray tell me, what are they?

Q You mentioned that in complex analysis we study analytic functions, or, in another name, holomorphic functions. Pray tell me, what are they? COMPLEX ANALYSIS PART 2: ANALYTIC FUNCTIONS Q You mentioned that in complex analysis we study analytic functions, or, in another name, holomorphic functions. Pray tell me, what are they? A There are many

More information

ISSN X (print) BIFURCATION ANALYSIS OF FRACTIONAL-ORDER CHAOTIC RÖSSLER SYSTEM

ISSN X (print) BIFURCATION ANALYSIS OF FRACTIONAL-ORDER CHAOTIC RÖSSLER SYSTEM Matematiqki Bilten ISSN 0351-336X (print) 42(LXVIII) No 1 ISSN 1857-9914 (online) 2018(27-36) UDC: 517938:5198765 Skopje, Makedonija BIFURCATION ANALYSIS OF FRACTIONAL-ORDER CHAOTIC RÖSSLER SYSTEM GJORGJI

More information

One dimensional Maps

One dimensional Maps Chapter 4 One dimensional Maps The ordinary differential equation studied in chapters 1-3 provide a close link to actual physical systems it is easy to believe these equations provide at least an approximate

More information

SCORE BOOSTER JAMB PREPARATION SERIES II

SCORE BOOSTER JAMB PREPARATION SERIES II BOOST YOUR JAMB SCORE WITH PAST Polynomials QUESTIONS Part II ALGEBRA by H. O. Aliu J. K. Adewole, PhD (Editor) 1) If 9x 2 + 6xy + 4y 2 is a factor of 27x 3 8y 3, find the other factor. (UTME 2014) 3x

More information

arxiv:math.ca/ v2 17 Jul 2000

arxiv:math.ca/ v2 17 Jul 2000 NECESSARY AND SUFFICIENT CONDITIONS FOR DIFFERENTIABILITY OF A FUNCTION OF SEVERAL VARIABLES. R.P. VENKATARAMAN, #1371, 13'TH MAIN ROAD, II STAGE, FIRST PHASE, B.T.M. LAYOUT, BANGALORE 560 076.

More information

Economics 204 Fall 2013 Problem Set 5 Suggested Solutions

Economics 204 Fall 2013 Problem Set 5 Suggested Solutions Economics 204 Fall 2013 Problem Set 5 Suggested Solutions 1. Let A and B be n n matrices such that A 2 = A and B 2 = B. Suppose that A and B have the same rank. Prove that A and B are similar. Solution.

More information

arxiv:math/ v1 [math.ca] 23 Jun 2002

arxiv:math/ v1 [math.ca] 23 Jun 2002 ON FRACTIONAL KINETIC EQUATIONS arxiv:math/0206240v1 [math.ca] 23 Jun 2002 R.K. SAXENA Department of Mathematics and Statistics, Jai Narain Vyas University Jodhpur 342001, INDIA A.M. MATHAI Department

More information

TEST CODE: MMA (Objective type) 2015 SYLLABUS

TEST CODE: MMA (Objective type) 2015 SYLLABUS TEST CODE: MMA (Objective type) 2015 SYLLABUS Analytical Reasoning Algebra Arithmetic, geometric and harmonic progression. Continued fractions. Elementary combinatorics: Permutations and combinations,

More information

7.1. Calculus of inverse functions. Text Section 7.1 Exercise:

7.1. Calculus of inverse functions. Text Section 7.1 Exercise: Contents 7. Inverse functions 1 7.1. Calculus of inverse functions 2 7.2. Derivatives of exponential function 4 7.3. Logarithmic function 6 7.4. Derivatives of logarithmic functions 7 7.5. Exponential

More information

Math Real Analysis II

Math Real Analysis II Math 432 - Real Analysis II Solutions to Homework due February 3 In class, we learned that the n-th remainder for a smooth function f(x) defined on some open interval containing is given by f (k) () R

More information

Applied Mathematics Letters

Applied Mathematics Letters Applied Mathematics Letters 24 (211) 219 223 Contents lists available at ScienceDirect Applied Mathematics Letters journal homepage: www.elsevier.com/locate/aml Laplace transform and fractional differential

More information

TEST CODE: MIII (Objective type) 2010 SYLLABUS

TEST CODE: MIII (Objective type) 2010 SYLLABUS TEST CODE: MIII (Objective type) 200 SYLLABUS Algebra Permutations and combinations. Binomial theorem. Theory of equations. Inequalities. Complex numbers and De Moivre s theorem. Elementary set theory.

More information

Differential forms. Proposition 3 Let X be a Riemann surface, a X and (U, z = x + iy) a coordinate neighborhood of a.

Differential forms. Proposition 3 Let X be a Riemann surface, a X and (U, z = x + iy) a coordinate neighborhood of a. Differential forms Proposition 3 Let X be a Riemann surface, a X and (U, z = x + iy) a coordinate neighborhood of a. 1. The elements d a x and d a y form a basis of the cotangent space T (1) a. 2. If f

More information

MATH745 Fall MATH745 Fall

MATH745 Fall MATH745 Fall MATH745 Fall 5 MATH745 Fall 5 INTRODUCTION WELCOME TO MATH 745 TOPICS IN NUMERICAL ANALYSIS Instructor: Dr Bartosz Protas Department of Matematics & Statistics Email: bprotas@mcmasterca Office HH 36, Ext

More information

Ch 5.4: Regular Singular Points

Ch 5.4: Regular Singular Points Ch 5.4: Regular Singular Points! Recall that the point x 0 is an ordinary point of the equation if p(x) = Q(x)/P(x) and q(x)= R(x)/P(x) are analytic at at x 0. Otherwise x 0 is a singular point.! Thus,

More information

AP Calculus Testbank (Chapter 9) (Mr. Surowski)

AP Calculus Testbank (Chapter 9) (Mr. Surowski) AP Calculus Testbank (Chapter 9) (Mr. Surowski) Part I. Multiple-Choice Questions n 1 1. The series will converge, provided that n 1+p + n + 1 (A) p > 1 (B) p > 2 (C) p >.5 (D) p 0 2. The series

More information

THE INVERSE FUNCTION THEOREM

THE INVERSE FUNCTION THEOREM THE INVERSE FUNCTION THEOREM W. PATRICK HOOPER The implicit function theorem is the following result: Theorem 1. Let f be a C 1 function from a neighborhood of a point a R n into R n. Suppose A = Df(a)

More information

Learning Objectives for Math 165

Learning Objectives for Math 165 Learning Objectives for Math 165 Chapter 2 Limits Section 2.1: Average Rate of Change. State the definition of average rate of change Describe what the rate of change does and does not tell us in a given

More information

Fractional Trigonometric Functions in Complexvalued Space: Applications of Complex Number to Local Fractional Calculus of Complex Function

Fractional Trigonometric Functions in Complexvalued Space: Applications of Complex Number to Local Fractional Calculus of Complex Function From the SelectedWorks of Xiao-Jun Yang June 4, 2 Fractional Trigonometric Functions in omplevalued Space: Applications of omple Number to Local Fractional alculus of omple Function Yang Xiao-Jun Available

More information

UNC Charlotte 2004 Algebra with solutions

UNC Charlotte 2004 Algebra with solutions with solutions March 8, 2004 1. Let z denote the real number solution to of the digits of z? (A) 13 (B) 14 (C) 15 (D) 16 (E) 17 3 + x 1 = 5. What is the sum Solution: E. Square both sides twice to get

More information

MATHEMATICS AP Calculus (BC) Standard: Number, Number Sense and Operations

MATHEMATICS AP Calculus (BC) Standard: Number, Number Sense and Operations Standard: Number, Number Sense and Operations Computation and A. Develop an understanding of limits and continuity. 1. Recognize the types of nonexistence of limits and why they Estimation are nonexistent.

More information

Mathematical Induction

Mathematical Induction Chapter 6 Mathematical Induction 6.1 The Process of Mathematical Induction 6.1.1 Motivating Mathematical Induction Consider the sum of the first several odd integers. produce the following: 1 = 1 1 + 3

More information

MAT137 Calculus! Lecture 48

MAT137 Calculus! Lecture 48 official website http://uoft.me/mat137 MAT137 Calculus! Lecture 48 Today: Taylor Series Applications Next: Final Exams Important Taylor Series and their Radii of Convergence 1 1 x = e x = n=0 n=0 x n n!

More information

a x a y = a x+y a x a = y ax y (a x ) r = a rx and log a (xy) = log a (x) + log a (y) log a ( x y ) = log a(x) log a (y) log a (x r ) = r log a (x).

a x a y = a x+y a x a = y ax y (a x ) r = a rx and log a (xy) = log a (x) + log a (y) log a ( x y ) = log a(x) log a (y) log a (x r ) = r log a (x). You should prepare the following topics for our final exam. () Pre-calculus. (2) Inverses. (3) Algebra of Limits. (4) Derivative Formulas and Rules. (5) Graphing Techniques. (6) Optimization (Maxima and

More information

MATH 126 FINAL EXAM. Name:

MATH 126 FINAL EXAM. Name: MATH 126 FINAL EXAM Name: Exam policies: Closed book, closed notes, no external resources, individual work. Please write your name on the exam and on each page you detach. Unless stated otherwise, you

More information