20 ZIAD ZAHREDDINE For some interesting relationships between these two types of stability: Routh- Hurwitz for continuous-time and Schur-Cohn for disc

Size: px
Start display at page:

Download "20 ZIAD ZAHREDDINE For some interesting relationships between these two types of stability: Routh- Hurwitz for continuous-time and Schur-Cohn for disc"

Transcription

1 SOOCHOW JOURNAL OF MATHEMATICS Volume 25, No. 1, pp , January 1999 ON SOME PROPERTIES OF HURWITZ POLYNOMIALS WITH APPLICATION TO STABILITY THEORY BY ZIAD ZAHREDDINE Abstract. Necessary as well as necessary and sucient conditions for the Hurwitness of a polynomial are established. The arguments involve the use of complex plane geometry techniques without invoking the theory of positive para-odd functions or continued fraction expansions methods. Some of the established properties are then applied to test for the stability of systems of dierential equations. 1. Introduction Several papers of recent vintage have originated on the eigenvalue clustering and distribution of systems of dierential equations. The results of [6] are concerned with the extension of the famous Routh array to the complex case. The extended Routh array (ERA) was then established and shown to be the natural complex counterpart of the Routh array. In [6], the central part of the argument dwells on the use of positive para-odd functions and the partial fraction and continued fraction expansions of these functions in some special forms. The notion of positive para-oddness is playing an increasingly eective role in the stability analysis of continuous-time systems of dierential equations with complex coecients. For discrete-time systems (eigenvalues inside the unit circle), the concept of positive para-oddness is replaced by complex discrete reactance functions which are the discrete-time counterpart of positive para-odd functions. Received June 17, 1996 revised February 18, AMS Subject Classication. 34E05. Key words. Hurwitz polynomials, stability theory, positive para-odd functions. 19

2 20 ZIAD ZAHREDDINE For some interesting relationships between these two types of stability: Routh- Hurwitz for continuous-time and Schur-Cohn for discrete-time systems, we refer to [5]. Intimately related to the theory of positive para-odd functions are Hurwitz polynomials which appear as the characteristic polynomials of stable continuoustime systems of dierential equations. These relations are for example highlighted by the major results of [6], they also show in[3]. It is therefore the objective of this paper to display some of the intriguing properties of Hurwitz polynomials, using complex plane geometry arguments. Some of these properties are necessary conditions for Hurwitness, others are necessary as well as sucient and can be looked at as stability criteria of systems of dierential equations. In Section 2, we give a necessary condition for Hurwitness. Other types of conditions including a necessary and sucient one are given in Section 3. Finally some applications are given in Section A Necessary Condition Let f(z) =a n z n + a n;1z n;1 + + a 1 z + a 0 be a Hurwitz polynomial with real coecients. It follows from [4] that all the coecients of f(z) should be of the same sign. We assume that a k > 0, for k =0 ::: n. The following lemma is needed: Lemma 2.1. For any complex number z such that Rez > 0, we have jf(z)j > jf(;z)j: Proof. If z k is a root of f, then for Rez > 0 as shown in Figure 1. jz ; z k j > jz +z k j

3 ON SOME PROPERTIES OF HURWITZ POLYNOMIALS 21 jz;zkj z jz+zkj zk ;zk Figure 1. An analytic proof is conceivable upon squaring both sides. It follows from the above inequality that jf(z)j > jf(;z)j for Re z > 0. Since the coecients of f are real, it is clear that jf(;z)j = jf(;z)j and the proof is complete. As a special case of Lemma 2.1, we have jf(z)j z on C > jf(;z)j z on C where C is a closed contour consisting of a segment of the vertical line z = " such that ">0 and "! 0, and a circular arc of arbitrarily radius R centered at the origin. Therefore by means of Routhe's theorem [1], the polynomial g(z) = 1 2 (f(z)+f(;z)) = a 0 + a 2 z 2 + a 4 z 4 + has the same number of zeros within C as does the polynomial f(z). C 0 " R Figure 2.

4 22 ZIAD ZAHREDDINE Since f is a Hurwitz polynomial, then it has no zeros within C. By taking R arbitrarily large and " arbitrarily small, we conclude that g has no zeros in the open right half-pale. Since g(z) consists only of even powers in z, its zeros are symmetrically distributed with respect to the imaginary axis. Therefore the zeros of g(z) must all be imaginary from which we conclude that the polynomial h(x) =a 0 + a 2 x + a 4 x 2 + (1) obtained by letting x = z 2 in g, should have only negative real zeros. In a similar way, we show that the polynomial k(x) =a 1 + a 3 x + a 5 x 2 + (2) obtained by letting x = z 2 in g(z) = 1 (f(z) ; f(;z)), should only have negative 2z real zeros. We summarize in the next theorem. Theorem 2.1. If f is a Hurwitz polynomials, then the two polynomials h and k in (1) and (2) respectively formed by alternating the coecients of f should have negative real zeros only. 3. Necessary and Sucient Conditions Suppose now that f is a monic polynomial, i.e. f(z) =z n + a n;1z n;1 + + a 1 z + a 0 : We begin by establishing the following necessary condition. Theorem 3.1. If f(z) is a Hurwitz polynomial with n 1, then arg(f(js)) is a continuous and strictly increasing function of s where j 2 = ;1: Proof. Since f is Hurwitz, then f(z) = Q n k=1(z ; z k ) where z k = Rez k + jimz k and Rez k < 0 for k =1 ::: n: So arg(f(js)) = = k=1 k=1 arg(js + jrez k j;jimz k ) arctan s ; Imzk jrez k j

5 ON SOME PROPERTIES OF HURWITZ POLYNOMIALS 23 where the summands are all continuous and strictly increasing. Im(z) s z-plane Re(z) Figure 3. Angle of f(js) for Hurwitz f. Figure 3 illustrates the proof of Theorem 3.1. If all zeros of f are in the open left half-plane, then the angle contribution of each zero increases as z moves up along the imaginary axis. Im(f (js)) f (js) s =0 Re(f (js)) s!1 Figure 4. Image of f(js) for Hurwitz f (n =7). Now, Figure 4 shows the result. As s increases from 0 to 1, f(js) starting on the positive real axis, smoothly circles strictly counterclockwise around n=2 radians as it increases to innity. Before we give our necessary and sucient condition we make the following denition. If f(js) 6= 0 for all s, we dene arg net (f) = s!1 lim farg(f(js)) ; arg(f(0))g

6 24 ZIAD ZAHREDDINE where the right-hand side denotes the net total angle, counting the encirclements, subtended by f(js) ass increases from 0 to 1. Theorem 3.2. The nth-degree polynomial f(z) is Hurwitz if and only if arg net (f) is well dened (f(js) 6= 0 for all s) and equal n(=2): Proof. Figure 3 above shows that each zero in the left half-plane contributes =2 to arg net (f), while each zero in the right half-plane contributes ;=2, and the proof is complete. 4. Applications Since necessary conditions of stability are at the same time sucient conditions of instability, we will illustrate here how the results of Section 2 can be used to easily check the instability of some systems. Example 1. Consider a system of dierential equations of order 4 with characteristic polynomial f(z) =3z 4 +2z 3 +5z 2 + z +7: Then h and k of Section 2 are given by h(z) =3z 2 +5z +7 and k(z) =2z +1: Since = 5 2 ; < 0, it follows that h has no real zeros. Therefore f is not Hurwitz and the system is unstable. Example 2. Let the characteristic polynomial of a 6th order system of dierential equations be f(z) =2z 6 +7z 5 +50z 4 +34z 3 +25z 2 +40z +5: Then h(z) =2z 3 +50z 2 +25z + 5 and k(z) =7z 2 +34z +40: The well-known Cardan's formula [2] asserts that for a cubic polynomial h(z) =a 3 z 3 + a 2 z 2 + a 1 z + a 0

7 ON SOME PROPERTIES OF HURWITZ POLYNOMIALS 25 to have only real zeros the condition a 2 1 ; 3a 2a 0 0must be satised. Since 25 2 ; < 0, h has non-real zeros and therefore f is not Hurwitz. Example 3. Consider the 8th degree polynomial f(z) =5z 8 +10z 7 +25z 6 +30z 5 +21z 4 +45z 3 +32z 2 +15z +60: Then and h(z) =5z 4 +25z 3 +21z 2 +32z +60 k(z) =10z 3 +30z 2 +45z +15: Since k satises Cardan's formula, we should look at h and split it up again into h 1 and k 1 where h 1 (z) =5z 2 +21z +60 andk 1 (z) =25z +32: In h 1,wehave =21 2 ; < 0: Therefore h 1 has non-real zeros and hence f is not Hurwitz. Obviously the power of the inspection method expressed by Theorem 2.1 will be more appreciated as the order of the system increases where long and tedious Routh array will be required to test the stability of the system. Now we illustrate the usefulness of Theorems 3.1 and 3.2, but rst we make the following denition: A set of polynomials is said to be Hurwitz if and only if every memberoftheset is Hurwitz. Fix n 1 and the real numbers a k and a k such that a k a k for k = 0 ::: n; 1: We dene the set N to be the set of monic nth-degree polynomials of the form f(z) =z n + a n;1z n;1 + :::+ a 0 for all a 0 ::: a n;1 such the a k a k a k k = 0 ::: n; 1. Then for all real numbers s we dene H(s) = ff(js) : f 2 Ng i.e. H(s) is the image of N under the evaluation map at z = js where the evaluation map at z e z () maps polynomials into the complex plane and is given by e z (f) =f(z). Next we dene the polynomials (where a n = a n =1)

8 26 ZIAD ZAHREDDINE g 1 (z)=a 0 + a 2 z 2 + a 4 z 4 + = g 2 (z)=a 0 + a 2 z 2 + a 4 z 4 + = h 1 (z)=a 1 z + a 3 z 3 + a 5 z 5 + = h 2 (z)=a 1 z + a 3 z 3 + a 5 z 5 + = Finally, we dene the polynomials k=0 even k=0 even k=1 odd k=1 odd j k minfj k a k j k a k gz k j k maxfj k a k j k a k gz k j k;1 minfj k;1 a k j k;1 a k gz k j k;1 maxfj k;1 a k j k;1 a k gz k : k kl (z) =g k (z)+h l (z) k l =1 2: It is to be noted that k 11 k 12 k 21 and k 22 are all members of N, and for all real numbers s, g 1 (js) and g 2 (js) are purely real, while h 1 (js) and h 2 (js) are purely imaginary. Furthermore, 8s 0, we have Refg 1 (js)g Reff(js)g Refg 2 (js)g Imfh 1 (js)g Imff(js)g Imfh 2 (js)g 8f 2 N 8f 2 N and for s 0we switch h 1 and h 2 in the last relation. Therefore, we see that for all real numbers s, H(s) is a level rectangle i.e., the sides are parallel to the real and imaginary axes with corners k 11 (js) k 12 (js) k 21 (js) andk 22 (js) asshown in Figure 5. h 2(js) k 12(js) k 22(js) H(s) h 1(js) k 11(js) k 21(js) g 1(js) g 2(js) Figure 5. Rectangular image of N at z = js(s >0). Before we state our main result here, we need the following lemma:

9 ON SOME PROPERTIES OF HURWITZ POLYNOMIALS 27 Lemma 4.1. If the polynomials k 11 k 12 k 21 and k 22 are Hurwitz, then 0 62 H(s), for all real s. Proof. For the set fk 11 k 12 k 21 k 22 g to be Hurwitz, wemust have a k > 0 8k because it is well-known that a monic Hurwitz polynomial has all its coecients positive. Clearly 0 62 H(0) = [a 0 a 0 ]: Since H is continuous (i.e., the four corners vary continuously with s), if 0 2 H(s) for some s > 0, then 0 must be on the boundary of H(^s) for some ^s 2 [0 s]. Since no corner may pass through zero (the corners are Hurwitz), we must have an edge containing zero in its interior. Without loss of generality, we assume it is the `bottom' edge. Then, as illustrated in Figure 6 k 11 (j^s) is on the negative real axis and k 21 (j^s) is on the positive real axis. Theorem 3.1 implies that for s > 0 suciently small, we have k 11 (j(^s+s)) in the open third quadrant andk 21 (j(^s + s)) in the open rst quadrant. Since Imfk 11 (js)g =Imfk 21 (js)g =Imfh 1 (js)g, this is clearly not possible. H(^s) k 11(j^s) 0 k 21(j^s) Figure 6. Why 0 cannot enter H(s). We note that the whole rectangle H(s) must travel counterclockwise through a total angle of n=2, always completely entering one quadrant before crossing into the next. Theorem 4.1. The class of polynomials N is Hurwitz if and only if fk 11 k 12 k 21 k 22 g is Hurwitz. Proof. The `only if' is immediate since fk 11 k 12 k 21 k 22 gn: Nowsuppose fk 11 k 12 k 21 k 22 g is Hurwitz, and f 2 N. Lemma 4.1 implies that f(js) 6= 08s, so arg net (f) iswell dened. Furthermore, f(js) 2 H(s) 8s, soarg net (f) =n=2: Now by Theorem 3.2, f has n zeros in the left half-plane and is therefore Hurwitz.

10 28 ZIAD ZAHREDDINE References [1] E. A. Guillemin, The Mathematics of Circuit Analysis, 7th edition, Oxford & IBH Publishing, [2] G. A. Korn and T. M. Korn, Mathematical Handbook for Scientists and Engineers, McGraw, New York, [3] N. Levinson and R. M. Redheer, Complex Variable, McGraw-Hill Publishing Company Limited, [4] M. Marden, Geometry of Polynomials, Amer. Math. Soc., 2nd edition, [5] Z. Zahreddine, Explicit relationships between Routh-Hurwitz and Schour-Cohn types of stability, Irish Math. Soc. Bull., 29(1992), [6] Z. Zahreddine, An extension of the Routh array for the asymptotic stability of a system of dierential equations with complex coecients, Applicable Analysis, 49(1993), Department of Basic Sciences, (Mathematics Division), University of Sharjah, Sharjah, P.O. Box 27272, United Arab Emirates.

Parallel Properties of Poles of. Positive Functions and those of. Discrete Reactance Functions

Parallel Properties of Poles of. Positive Functions and those of. Discrete Reactance Functions International Journal of Mathematical Analysis Vol. 11, 2017, no. 24, 1141-1150 HIKARI Ltd, www.m-hikari.com https://doi.org/10.12988/ima.2017.77106 Parallel Properties of Poles of Positive Functions and

More information

Qualifying Exam Complex Analysis (Math 530) January 2019

Qualifying Exam Complex Analysis (Math 530) January 2019 Qualifying Exam Complex Analysis (Math 53) January 219 1. Let D be a domain. A function f : D C is antiholomorphic if for every z D the limit f(z + h) f(z) lim h h exists. Write f(z) = f(x + iy) = u(x,

More information

Garrett: `Bernstein's analytic continuation of complex powers' 2 Let f be a polynomial in x 1 ; : : : ; x n with real coecients. For complex s, let f

Garrett: `Bernstein's analytic continuation of complex powers' 2 Let f be a polynomial in x 1 ; : : : ; x n with real coecients. For complex s, let f 1 Bernstein's analytic continuation of complex powers c1995, Paul Garrett, garrettmath.umn.edu version January 27, 1998 Analytic continuation of distributions Statement of the theorems on analytic continuation

More information

MORE CONSEQUENCES OF CAUCHY S THEOREM

MORE CONSEQUENCES OF CAUCHY S THEOREM MOE CONSEQUENCES OF CAUCHY S THEOEM Contents. The Mean Value Property and the Maximum-Modulus Principle 2. Morera s Theorem and some applications 3 3. The Schwarz eflection Principle 6 We have stated Cauchy

More information

PolyGamma Functions of Negative Order

PolyGamma Functions of Negative Order Carnegie Mellon University Research Showcase @ CMU Computer Science Department School of Computer Science -998 PolyGamma Functions of Negative Order Victor S. Adamchik Carnegie Mellon University Follow

More information

Chapter 5 THE APPLICATION OF THE Z TRANSFORM. 5.3 Stability

Chapter 5 THE APPLICATION OF THE Z TRANSFORM. 5.3 Stability Chapter 5 THE APPLICATION OF THE Z TRANSFORM 5.3 Stability Copyright c 2005- Andreas Antoniou Victoria, BC, Canada Email: aantoniou@ieee.org February 13, 2008 Frame # 1 Slide # 1 A. Antoniou Digital Signal

More information

4. Higher Order Linear DEs

4. Higher Order Linear DEs 4. Higher Order Linear DEs Department of Mathematics & Statistics ASU Outline of Chapter 4 1 General Theory of nth Order Linear Equations 2 Homogeneous Equations with Constant Coecients 3 The Method of

More information

Aero III/IV Conformal Mapping

Aero III/IV Conformal Mapping Aero III/IV Conformal Mapping View complex function as a mapping Unlike a real function, a complex function w = f(z) cannot be represented by a curve. Instead it is useful to view it as a mapping. Write

More information

The Residue Theorem. Integration Methods over Closed Curves for Functions with Singularities

The Residue Theorem. Integration Methods over Closed Curves for Functions with Singularities The Residue Theorem Integration Methods over losed urves for Functions with Singularities We have shown that if f(z) is analytic inside and on a closed curve, then f(z)dz = 0. We have also seen examples

More information

5 Introduction to Complex Dynamics

5 Introduction to Complex Dynamics Dynamics, Chaos, and Fractals (part 5): Introduction to Complex Dynamics (by Evan Dummit, 015, v. 1.0) Contents 5 Introduction to Complex Dynamics 1 5.1 Dynamical Properties of Complex-Valued Functions...........................

More information

FINAL EXAM { SOLUTION

FINAL EXAM { SOLUTION United Arab Emirates University ollege of Sciences Department of Mathematical Sciences FINAL EXAM { SOLUTION omplex Analysis I MATH 5 SETION 0 RN 56 9:0 { 0:45 on Monday & Wednesday Date: Wednesday, January

More information

Solutions to practice problems for the final

Solutions to practice problems for the final Solutions to practice problems for the final Holomorphicity, Cauchy-Riemann equations, and Cauchy-Goursat theorem 1. (a) Show that there is a holomorphic function on Ω = {z z > 2} whose derivative is z

More information

CONTROL SYSTEM STABILITY. CHARACTERISTIC EQUATION: The overall transfer function for a. where A B X Y are polynomials. Substitution into the TF gives:

CONTROL SYSTEM STABILITY. CHARACTERISTIC EQUATION: The overall transfer function for a. where A B X Y are polynomials. Substitution into the TF gives: CONTROL SYSTEM STABILITY CHARACTERISTIC EQUATION: The overall transfer function for a feedback control system is: TF = G / [1+GH]. The G and H functions can be put into the form: G(S) = A(S) / B(S) H(S)

More information

rad/sec

rad/sec In this chapter we present Kharitonov's Theorem on robust Hurwitz stability of interval polynomials, dealing with both the real and complex cases This elegant result forms the basis for many of the results,

More information

PROOF OF TWO MATRIX THEOREMS VIA TRIANGULAR FACTORIZATIONS ROY MATHIAS

PROOF OF TWO MATRIX THEOREMS VIA TRIANGULAR FACTORIZATIONS ROY MATHIAS PROOF OF TWO MATRIX THEOREMS VIA TRIANGULAR FACTORIZATIONS ROY MATHIAS Abstract. We present elementary proofs of the Cauchy-Binet Theorem on determinants and of the fact that the eigenvalues of a matrix

More information

This method is introduced by the author in [4] in the case of the single obstacle problem (zero-obstacle). In that case it is enough to consider the v

This method is introduced by the author in [4] in the case of the single obstacle problem (zero-obstacle). In that case it is enough to consider the v Remarks on W 2;p -Solutions of Bilateral Obstacle Problems Srdjan Stojanovic Department of Mathematical Sciences University of Cincinnati Cincinnati, OH 4522-0025 November 30, 995 Abstract The well known

More information

Discrete Halanay-type inequalities and applications

Discrete Halanay-type inequalities and applications Nonlinear Analysis 55 (2003) 669 678 www.elsevier.com/locate/na Discrete Halanay-type inequalities and applications Eduardo Liz a;, Anatoli Ivanov b, Juan Bosco Ferreiro c a Departamento de Matematica

More information

Complex Analysis MATH 6300 Fall 2013 Homework 4

Complex Analysis MATH 6300 Fall 2013 Homework 4 Complex Analysis MATH 6300 Fall 2013 Homework 4 Due Wednesday, December 11 at 5 PM Note that to get full credit on any problem in this class, you must solve the problems in an efficient and elegant manner,

More information

Spurious Chaotic Solutions of Dierential. Equations. Sigitas Keras. September Department of Applied Mathematics and Theoretical Physics

Spurious Chaotic Solutions of Dierential. Equations. Sigitas Keras. September Department of Applied Mathematics and Theoretical Physics UNIVERSITY OF CAMBRIDGE Numerical Analysis Reports Spurious Chaotic Solutions of Dierential Equations Sigitas Keras DAMTP 994/NA6 September 994 Department of Applied Mathematics and Theoretical Physics

More information

f(z)dz = 0. P dx + Qdy = D u dx v dy + i u dy + v dx. dxdy + i x = v

f(z)dz = 0. P dx + Qdy = D u dx v dy + i u dy + v dx. dxdy + i x = v MA525 ON CAUCHY'S THEOREM AND GREEN'S THEOREM DAVID DRASIN (EDITED BY JOSIAH YODER) 1. Introduction No doubt the most important result in this course is Cauchy's theorem. Every critical theorem in the

More information

Pade approximants and noise: rational functions

Pade approximants and noise: rational functions Journal of Computational and Applied Mathematics 105 (1999) 285 297 Pade approximants and noise: rational functions Jacek Gilewicz a; a; b;1, Maciej Pindor a Centre de Physique Theorique, Unite Propre

More information

only nite eigenvalues. This is an extension of earlier results from [2]. Then we concentrate on the Riccati equation appearing in H 2 and linear quadr

only nite eigenvalues. This is an extension of earlier results from [2]. Then we concentrate on the Riccati equation appearing in H 2 and linear quadr The discrete algebraic Riccati equation and linear matrix inequality nton. Stoorvogel y Department of Mathematics and Computing Science Eindhoven Univ. of Technology P.O. ox 53, 56 M Eindhoven The Netherlands

More information

Dynamical Systems. August 13, 2013

Dynamical Systems. August 13, 2013 Dynamical Systems Joshua Wilde, revised by Isabel Tecu, Takeshi Suzuki and María José Boccardi August 13, 2013 Dynamical Systems are systems, described by one or more equations, that evolve over time.

More information

1 Discussion on multi-valued functions

1 Discussion on multi-valued functions Week 3 notes, Math 7651 1 Discussion on multi-valued functions Log function : Note that if z is written in its polar representation: z = r e iθ, where r = z and θ = arg z, then log z log r + i θ + 2inπ

More information

Our goal is to solve a general constant coecient linear second order. this way but that will not always happen). Once we have y 1, it will always

Our goal is to solve a general constant coecient linear second order. this way but that will not always happen). Once we have y 1, it will always October 5 Relevant reading: Section 2.1, 2.2, 2.3 and 2.4 Our goal is to solve a general constant coecient linear second order ODE a d2 y dt + bdy + cy = g (t) 2 dt where a, b, c are constants and a 0.

More information

Igor E. Pritsker. plane, we consider a problem of the uniform approximation on E by

Igor E. Pritsker. plane, we consider a problem of the uniform approximation on E by Weighted Approximation on Compact Sets Igor E. Pritsker Abstract. For a compact set E with connected complement in the complex plane, we consider a problem of the uniform approximation on E by the weighted

More information

Hartogs Theorem: separate analyticity implies joint Paul Garrett garrett/

Hartogs Theorem: separate analyticity implies joint Paul Garrett  garrett/ (February 9, 25) Hartogs Theorem: separate analyticity implies joint Paul Garrett garrett@math.umn.edu http://www.math.umn.edu/ garrett/ (The present proof of this old result roughly follows the proof

More information

Overall Description of Course Trigonometry is a College Preparatory level course.

Overall Description of Course Trigonometry is a College Preparatory level course. Radnor High School Course Syllabus Modified 9/1/2011 Trigonometry 444 Credits: 1 Grades: 11-12 Unweighted Prerequisite: Length: Year Algebra 2 Format: Meets Daily or teacher recommendation Overall Description

More information

13 Maximum Modulus Principle

13 Maximum Modulus Principle 3 Maximum Modulus Principle Theorem 3. (maximum modulus principle). If f is non-constant and analytic on an open connected set Ω, then there is no point z 0 Ω such that f(z) f(z 0 ) for all z Ω. Remark

More information

Constrained Leja points and the numerical solution of the constrained energy problem

Constrained Leja points and the numerical solution of the constrained energy problem Journal of Computational and Applied Mathematics 131 (2001) 427 444 www.elsevier.nl/locate/cam Constrained Leja points and the numerical solution of the constrained energy problem Dan I. Coroian, Peter

More information

Uniformly convex functions II

Uniformly convex functions II ANNALES POLONICI MATHEMATICI LVIII. (199 Uniformly convex functions II by Wancang Ma and David Minda (Cincinnati, Ohio Abstract. Recently, A. W. Goodman introduced the class UCV of normalized uniformly

More information

MATH 566 LECTURE NOTES 4: ISOLATED SINGULARITIES AND THE RESIDUE THEOREM

MATH 566 LECTURE NOTES 4: ISOLATED SINGULARITIES AND THE RESIDUE THEOREM MATH 566 LECTURE NOTES 4: ISOLATED SINGULARITIES AND THE RESIDUE THEOREM TSOGTGEREL GANTUMUR 1. Functions holomorphic on an annulus Let A = D R \D r be an annulus centered at 0 with 0 < r < R

More information

Other Things & Some Applications

Other Things & Some Applications Chapter 4 Other Things & Some Applications 4. Unimodality, Log-concavity & Real-rootedness (4.) Denition Let A = (a 0, a,..., a n ) be a sequence of positive real numbers. The sequence A is said to be:

More information

for Newton's Method Dierk Schleicher July 21, 2000 Abstract We use methods from conformal geometry to give an explicit estimate for how

for Newton's Method Dierk Schleicher July 21, 2000 Abstract We use methods from conformal geometry to give an explicit estimate for how On the Number of Iterations for Newton's Method Dierk Schleicher July 21, 2000 Abstract We use methods from conformal geometry to give an explicit estimate for how many iterations of Newton's method it

More information

Math III Curriculum Map

Math III Curriculum Map 6 weeks Unit Unit Focus Common Core Math Standards 1 Rational and Irrational Numbers N-RN.3. Explain why the sum or product of two rational numbers is rational; that the sum of a rational number and an

More information

Dynamical Systems & Scientic Computing: Homework Assignments

Dynamical Systems & Scientic Computing: Homework Assignments Fakultäten für Informatik & Mathematik Technische Universität München Dr. Tobias Neckel Summer Term Dr. Florian Rupp Exercise Sheet 3 Dynamical Systems & Scientic Computing: Homework Assignments 3. [ ]

More information

Complex Series. Chapter 20

Complex Series. Chapter 20 hapter 20 omplex Series As in the real case, representation of functions by infinite series of simpler functions is an endeavor worthy of our serious consideration. We start with an examination of the

More information

I can translate between a number line graph, an inequality, and interval notation.

I can translate between a number line graph, an inequality, and interval notation. Unit 1: Absolute Value 2 I can translate between a number line graph, an inequality, and interval notation. 2 2 I can translate between absolute value expressions and English statements about numbers on

More information

AN INEQUALITY FOR THE NORM OF A POLYNOMIAL FACTOR IGOR E. PRITSKER. (Communicated by Albert Baernstein II)

AN INEQUALITY FOR THE NORM OF A POLYNOMIAL FACTOR IGOR E. PRITSKER. (Communicated by Albert Baernstein II) PROCDINGS OF TH AMRICAN MATHMATICAL SOCITY Volume 9, Number 8, Pages 83{9 S -9939()588-4 Article electronically published on November 3, AN INQUALITY FOR TH NORM OF A POLYNOMIAL FACTOR IGOR. PRITSKR (Communicated

More information

1. The COMPLEX PLANE AND ELEMENTARY FUNCTIONS: Complex numbers; stereographic projection; simple and multiple connectivity, elementary functions.

1. The COMPLEX PLANE AND ELEMENTARY FUNCTIONS: Complex numbers; stereographic projection; simple and multiple connectivity, elementary functions. Complex Analysis Qualifying Examination 1 The COMPLEX PLANE AND ELEMENTARY FUNCTIONS: Complex numbers; stereographic projection; simple and multiple connectivity, elementary functions 2 ANALYTIC FUNCTIONS:

More information

Analysis of SISO Control Loops

Analysis of SISO Control Loops Chapter 5 Analysis of SISO Control Loops Topics to be covered For a given controller and plant connected in feedback we ask and answer the following questions: Is the loop stable? What are the sensitivities

More information

8. Complex Numbers. sums and products. basic algebraic properties. complex conjugates. exponential form. principal arguments. roots of complex numbers

8. Complex Numbers. sums and products. basic algebraic properties. complex conjugates. exponential form. principal arguments. roots of complex numbers EE202 - EE MATH II 8. Complex Numbers Jitkomut Songsiri sums and products basic algebraic properties complex conjugates exponential form principal arguments roots of complex numbers regions in the complex

More information

Systems Analysis and Control

Systems Analysis and Control Systems Analysis and Control Matthew M. Peet Illinois Institute of Technology Lecture 23: Drawing The Nyquist Plot Overview In this Lecture, you will learn: Review of Nyquist Drawing the Nyquist Plot Using

More information

Minimum and maximum values *

Minimum and maximum values * OpenStax-CNX module: m17417 1 Minimum and maximum values * Sunil Kumar Singh This work is produced by OpenStax-CNX and licensed under the Creative Commons Attribution License 2.0 In general context, a

More information

Module 3F2: Systems and Control EXAMPLES PAPER 2 ROOT-LOCUS. Solutions

Module 3F2: Systems and Control EXAMPLES PAPER 2 ROOT-LOCUS. Solutions Cambridge University Engineering Dept. Third Year Module 3F: Systems and Control EXAMPLES PAPER ROOT-LOCUS Solutions. (a) For the system L(s) = (s + a)(s + b) (a, b both real) show that the root-locus

More information

Math 185 Fall 2015, Sample Final Exam Solutions

Math 185 Fall 2015, Sample Final Exam Solutions Math 185 Fall 2015, Sample Final Exam Solutions Nikhil Srivastava December 12, 2015 1. True or false: (a) If f is analytic in the annulus A = {z : 1 < z < 2} then there exist functions g and h such that

More information

106 E.G.Kirjackij i.e. in the circle jzj < 1; and let functions f(z) be normalized by conditions f(0) = 0; f 0 (0) = 1; and f 0 (z) 6= 0 in E: Let als

106 E.G.Kirjackij i.e. in the circle jzj < 1; and let functions f(z) be normalized by conditions f(0) = 0; f 0 (0) = 1; and f 0 (z) 6= 0 in E: Let als MMCA{97 Conference, pp. 105{116 R. Ciegis (Ed) c 1997 Vilniaus Gedimino technikos universitetas USING VARIATIONAL FORMULAE FOR SOLVING EXTREMAL PROBLEMS IN LINEARLY-INVARIANT CLASSES E.G.KIRJACKIJ Vilnius

More information

460 HOLGER DETTE AND WILLIAM J STUDDEN order to examine how a given design behaves in the model g` with respect to the D-optimality criterion one uses

460 HOLGER DETTE AND WILLIAM J STUDDEN order to examine how a given design behaves in the model g` with respect to the D-optimality criterion one uses Statistica Sinica 5(1995), 459-473 OPTIMAL DESIGNS FOR POLYNOMIAL REGRESSION WHEN THE DEGREE IS NOT KNOWN Holger Dette and William J Studden Technische Universitat Dresden and Purdue University Abstract:

More information

Chapter 13 Internal (Lyapunov) Stability 13.1 Introduction We have already seen some examples of both stable and unstable systems. The objective of th

Chapter 13 Internal (Lyapunov) Stability 13.1 Introduction We have already seen some examples of both stable and unstable systems. The objective of th Lectures on Dynamic Systems and Control Mohammed Dahleh Munther A. Dahleh George Verghese Department of Electrical Engineering and Computer Science Massachuasetts Institute of Technology 1 1 c Chapter

More information

ALGEBRA II CURRICULUM MAP

ALGEBRA II CURRICULUM MAP 2017-2018 MATHEMATICS ALGEBRA II CURRICULUM MAP Department of Curriculum and Instruction RCCSD Common Core Major Emphasis Clusters The Real Number System Extend the properties of exponents to rational

More information

IMC 2015, Blagoevgrad, Bulgaria

IMC 2015, Blagoevgrad, Bulgaria IMC 05, Blagoevgrad, Bulgaria Day, July 9, 05 Problem. For any integer n and two n n matrices with real entries, B that satisfy the equation + B ( + B prove that det( det(b. Does the same conclusion follow

More information

THE WEIERSTRASS PREPARATION THEOREM AND SOME APPLICATIONS

THE WEIERSTRASS PREPARATION THEOREM AND SOME APPLICATIONS THE WEIERSTRASS PREPARATION THEOREM AND SOME APPLICATIONS XUAN LI Abstract. In this paper we revisit the Weierstrass preparation theorem, which describes how to represent a holomorphic function of several

More information

Milford Public Schools Curriculum. Department: Mathematics Course Name: Precalculus Level 1

Milford Public Schools Curriculum. Department: Mathematics Course Name: Precalculus Level 1 Milford Public Schools Curriculum Department: Mathematics Course Name: Precalculus Level 1 UNIT 1 Unit Description: Students will construct polynomial graphs with zeros and end behavior, and apply limit

More information

Chapter Four. Integration. t dt x t dt i y t dt, t 2 1 it 3 dt 4 3 i 4.

Chapter Four. Integration. t dt x t dt i y t dt, t 2 1 it 3 dt 4 3 i 4. hapter Four Integration 4.. Introduction. If : D is simply a function on a real interval D,,thenthe integral tdt is, of course, simply an ordered pair of everyday 3 rd grade calculus integrals: tdt xtdt

More information

Math 411, Complex Analysis Definitions, Formulas and Theorems Winter y = sinα

Math 411, Complex Analysis Definitions, Formulas and Theorems Winter y = sinα Math 411, Complex Analysis Definitions, Formulas and Theorems Winter 014 Trigonometric Functions of Special Angles α, degrees α, radians sin α cos α tan α 0 0 0 1 0 30 π 6 45 π 4 1 3 1 3 1 y = sinα π 90,

More information

INTEGRATION WORKSHOP 2004 COMPLEX ANALYSIS EXERCISES

INTEGRATION WORKSHOP 2004 COMPLEX ANALYSIS EXERCISES INTEGRATION WORKSHOP 2004 COMPLEX ANALYSIS EXERCISES PHILIP FOTH 1. Cauchy s Formula and Cauchy s Theorem 1. Suppose that γ is a piecewise smooth positively ( counterclockwise ) oriented simple closed

More information

of Classical Constants Philippe Flajolet and Ilan Vardi February 24, 1996 Many mathematical constants are expressed as slowly convergent sums

of Classical Constants Philippe Flajolet and Ilan Vardi February 24, 1996 Many mathematical constants are expressed as slowly convergent sums Zeta Function Expansions of Classical Constants Philippe Flajolet and Ilan Vardi February 24, 996 Many mathematical constants are expressed as slowly convergent sums of the form C = f( ) () n n2a for some

More information

A NOTE ON MATRIX REFINEMENT EQUATIONS. Abstract. Renement equations involving matrix masks are receiving a lot of attention these days.

A NOTE ON MATRIX REFINEMENT EQUATIONS. Abstract. Renement equations involving matrix masks are receiving a lot of attention these days. A NOTE ON MATRI REFINEMENT EQUATIONS THOMAS A. HOGAN y Abstract. Renement equations involving matrix masks are receiving a lot of attention these days. They can play a central role in the study of renable

More information

arxiv:math.cv/ v1 23 Dec 2003

arxiv:math.cv/ v1 23 Dec 2003 EXPONENTIAL GELFOND-KHOVANSKII FORMULA IN DIMENSION ONE arxiv:math.cv/0312433 v1 23 Dec 2003 EVGENIA SOPRUNOVA Abstract. Gelfond and Khovanskii found a formula for the sum of the values of a Laurent polynomial

More information

. HILBERT POLYNOMIALS

. HILBERT POLYNOMIALS CLASSICAL ALGEBRAIC GEOMETRY Daniel Plaumann Universität Konstan Summer HILBERT POLYNOMIALS T An ane variety V A n with vanishing ideal I(V) K[,, n ] is completely determined by its coordinate ring A(V)

More information

1 Holomorphic functions

1 Holomorphic functions Robert Oeckl CA NOTES 1 15/09/2009 1 1 Holomorphic functions 11 The complex derivative The basic objects of complex analysis are the holomorphic functions These are functions that posses a complex derivative

More information

Tennessee s State Mathematics Standards - Algebra II

Tennessee s State Mathematics Standards - Algebra II Domain Cluster Standard Scope and Clarifications The Real Number System (N-RN) Extend the properties of exponents to rational exponents 1. Explain how the definition of the meaning of rational exponents

More information

INTRODUCTION TO COMPLEX ANALYSIS W W L CHEN

INTRODUCTION TO COMPLEX ANALYSIS W W L CHEN INTRODUTION TO OMPLEX ANALYSIS W W L HEN c W W L hen, 986, 2008. This chapter originates from material used by the author at Imperial ollege, University of London, between 98 and 990. It is available free

More information

Math 220A - Fall Final Exam Solutions

Math 220A - Fall Final Exam Solutions Math 22A - Fall 216 - Final Exam Solutions Problem 1. Let f be an entire function and let n 2. Show that there exists an entire function g with g n = f if and only if the orders of all zeroes of f are

More information

Numerical Integration for Multivariable. October Abstract. We consider the numerical integration of functions with point singularities over

Numerical Integration for Multivariable. October Abstract. We consider the numerical integration of functions with point singularities over Numerical Integration for Multivariable Functions with Point Singularities Yaun Yang and Kendall E. Atkinson y October 199 Abstract We consider the numerical integration of functions with point singularities

More information

Chapter 30 MSMYP1 Further Complex Variable Theory

Chapter 30 MSMYP1 Further Complex Variable Theory Chapter 30 MSMYP Further Complex Variable Theory (30.) Multifunctions A multifunction is a function that may take many values at the same point. Clearly such functions are problematic for an analytic study,

More information

Complex Analysis Problems

Complex Analysis Problems Complex Analysis Problems transcribed from the originals by William J. DeMeo October 2, 2008 Contents 99 November 2 2 2 200 November 26 4 3 2006 November 3 6 4 2007 April 6 7 5 2007 November 6 8 99 NOVEMBER

More information

Coecient bounds for certain subclasses of analytic functions of complex order

Coecient bounds for certain subclasses of analytic functions of complex order Hacettepe Journal of Mathematics and Statistics Volume 45 (4) (2016), 1015 1022 Coecient bounds for certain subclasses of analytic functions of complex order Serap Bulut Abstract In this paper, we introduce

More information

Math 421 Midterm 2 review questions

Math 421 Midterm 2 review questions Math 42 Midterm 2 review questions Paul Hacking November 7, 205 () Let U be an open set and f : U a continuous function. Let be a smooth curve contained in U, with endpoints α and β, oriented from α to

More information

A Correlation of. Pearson Integrated CME Project. to the. Common Core State Standards for Mathematics - High School PARRC Model Content Frameworks

A Correlation of. Pearson Integrated CME Project. to the. Common Core State Standards for Mathematics - High School PARRC Model Content Frameworks A Correlation of Pearson 2013 to the Common Core State Standards for A Correlation of Pearson Introduction This document demonstrates how Pearson 2013 meets the standards of the Mathematics, PAARC Model

More information

3.1 Basic properties of real numbers - continuation Inmum and supremum of a set of real numbers

3.1 Basic properties of real numbers - continuation Inmum and supremum of a set of real numbers Chapter 3 Real numbers The notion of real number was introduced in section 1.3 where the axiomatic denition of the set of all real numbers was done and some basic properties of the set of all real numbers

More information

Complex numbers, the exponential function, and factorization over C

Complex numbers, the exponential function, and factorization over C Complex numbers, the exponential function, and factorization over C 1 Complex Numbers Recall that for every non-zero real number x, its square x 2 = x x is always positive. Consequently, R does not contain

More information

Sinusoids. Amplitude and Magnitude. Phase and Period. CMPT 889: Lecture 2 Sinusoids, Complex Exponentials, Spectrum Representation

Sinusoids. Amplitude and Magnitude. Phase and Period. CMPT 889: Lecture 2 Sinusoids, Complex Exponentials, Spectrum Representation Sinusoids CMPT 889: Lecture Sinusoids, Complex Exponentials, Spectrum Representation Tamara Smyth, tamaras@cs.sfu.ca School of Computing Science, Simon Fraser University September 6, 005 Sinusoids are

More information

On some inequalities between prime numbers

On some inequalities between prime numbers On some inequalities between prime numbers Martin Maulhardt July 204 ABSTRACT. In 948 Erdős and Turán proved that in the set of prime numbers the inequality p n+2 p n+ < p n+ p n is satisfied infinitely

More information

Chapter 4: Open mapping theorem, removable singularities

Chapter 4: Open mapping theorem, removable singularities Chapter 4: Open mapping theorem, removable singularities Course 44, 2003 04 February 9, 2004 Theorem 4. (Laurent expansion) Let f : G C be analytic on an open G C be open that contains a nonempty annulus

More information

Integrated Mathematics I, II, III 2016 Scope and Sequence

Integrated Mathematics I, II, III 2016 Scope and Sequence Mathematics I, II, III 2016 Scope and Sequence I Big Ideas Math 2016 Mathematics I, II, and III Scope and Sequence Number and Quantity The Real Number System (N-RN) Properties of exponents to rational

More information

94. E. Marshall and W. Smith The problem considered in this paper concerns the angular distribution of mass by such a measure. For ">0 we dene " = fz

94. E. Marshall and W. Smith The problem considered in this paper concerns the angular distribution of mass by such a measure. For >0 we dene  = fz Revista Matematica Iberoamericana Vol. 15, N. o 1, 1999 The angular distribution of mass by Bergman functions onald E. Marshall and Wayne Smith Abstract. Let = fz : jzj < 1g be the unit disk in the complex

More information

8 Singular Integral Operators and L p -Regularity Theory

8 Singular Integral Operators and L p -Regularity Theory 8 Singular Integral Operators and L p -Regularity Theory 8. Motivation See hand-written notes! 8.2 Mikhlin Multiplier Theorem Recall that the Fourier transformation F and the inverse Fourier transformation

More information

CMPT 889: Lecture 2 Sinusoids, Complex Exponentials, Spectrum Representation

CMPT 889: Lecture 2 Sinusoids, Complex Exponentials, Spectrum Representation CMPT 889: Lecture 2 Sinusoids, Complex Exponentials, Spectrum Representation Tamara Smyth, tamaras@cs.sfu.ca School of Computing Science, Simon Fraser University September 26, 2005 1 Sinusoids Sinusoids

More information

MAT665:ANALYTIC FUNCTION THEORY

MAT665:ANALYTIC FUNCTION THEORY MAT665:ANALYTIC FUNCTION THEORY DR. RITU AGARWAL MALAVIYA NATIONAL INSTITUTE OF TECHNOLOGY JAIPUR Contents 1. About 2 2. Complex Numbers 2 3. Fundamental inequalities 2 4. Continuously differentiable functions

More information

Control Systems I. Lecture 9: The Nyquist condition

Control Systems I. Lecture 9: The Nyquist condition Control Systems I Lecture 9: The Nyquist condition Readings: Åstrom and Murray, Chapter 9.1 4 www.cds.caltech.edu/~murray/amwiki/index.php/first_edition Jacopo Tani Institute for Dynamic Systems and Control

More information

The stability of linear time-invariant feedback systems

The stability of linear time-invariant feedback systems The stability of linear time-invariant feedbac systems A. Theory The system is atrictly stable if The degree of the numerator of H(s) (H(z)) the degree of the denominator of H(s) (H(z)) and/or The poles

More information

Comparing the homotopy types of the components of Map(S 4 ;BSU(2))

Comparing the homotopy types of the components of Map(S 4 ;BSU(2)) Journal of Pure and Applied Algebra 161 (2001) 235 243 www.elsevier.com/locate/jpaa Comparing the homotopy types of the components of Map(S 4 ;BSU(2)) Shuichi Tsukuda 1 Department of Mathematical Sciences,

More information

Trimester 2 Expectations. Chapter (McGraw-Hill. CCSS covered Key Vocabulary Vertical. Alignment

Trimester 2 Expectations. Chapter (McGraw-Hill. CCSS covered Key Vocabulary Vertical. Alignment Algebra 2 Trimester 2 Expectations Chapter (McGraw-Hill Algebra 2) Chapter 5 (Suggested Pacing 14 Days) Polynomials and Polynomial Functions Lesson 5-1: Operations with Polynomials Lesson 5-2: Dividing

More information

Introduction to Real Analysis

Introduction to Real Analysis Introduction to Real Analysis Joshua Wilde, revised by Isabel Tecu, Takeshi Suzuki and María José Boccardi August 13, 2013 1 Sets Sets are the basic objects of mathematics. In fact, they are so basic that

More information

Trace Class Operators and Lidskii s Theorem

Trace Class Operators and Lidskii s Theorem Trace Class Operators and Lidskii s Theorem Tom Phelan Semester 2 2009 1 Introduction The purpose of this paper is to provide the reader with a self-contained derivation of the celebrated Lidskii Trace

More information

Computation Of Asymptotic Distribution. For Semiparametric GMM Estimators. Hidehiko Ichimura. Graduate School of Public Policy

Computation Of Asymptotic Distribution. For Semiparametric GMM Estimators. Hidehiko Ichimura. Graduate School of Public Policy Computation Of Asymptotic Distribution For Semiparametric GMM Estimators Hidehiko Ichimura Graduate School of Public Policy and Graduate School of Economics University of Tokyo A Conference in honor of

More information

ζ(u) z du du Since γ does not pass through z, f is defined and continuous on [a, b]. Furthermore, for all t such that dζ

ζ(u) z du du Since γ does not pass through z, f is defined and continuous on [a, b]. Furthermore, for all t such that dζ Lecture 6 Consequences of Cauchy s Theorem MATH-GA 45.00 Complex Variables Cauchy s Integral Formula. Index of a point with respect to a closed curve Let z C, and a piecewise differentiable closed curve

More information

Global Dynamics of Some Periodically Forced, Monotone Di erence Equations

Global Dynamics of Some Periodically Forced, Monotone Di erence Equations Global Dynamics of Some Periodically Forced, Monotone Dierence Equations J. M. CUSHING Department of Mathematics University of Arizona Tucson, AZ 857-0089 SHANDELLE M. HENSON Department of Mathematics

More information

Separate sum (may be implied) ( 1)(2 1) ( 1) 6 n n n n n A1,A1 1 mark for each part oe

Separate sum (may be implied) ( 1)(2 1) ( 1) 6 n n n n n A1,A1 1 mark for each part oe 4755 Mark Scheme June 04 n n n (i) (ii) 0 0 (iii) r( r ) r r Separate sum (may be implied) ( )( ) ( ) 6 n n n n n A,A mark for each part oe ( )[( ) 6] 6 n n n nn ( )(linear factor) ( )( 5) 6 n n n A Or

More information

2013 Leaving Cert Higher Level Official Sample Paper 1

2013 Leaving Cert Higher Level Official Sample Paper 1 013 Leaving Cert Higher Level Official Sample Paper 1 Section A Concepts and Skills 150 marks Question 1 (5 marks) (a) w 1 + 3i is a complex number, where i 1. (i) Write w in polar form. We have w ( 1)

More information

A RELATION BETWEEN SCHUR P AND S. S. Leidwanger. Universite de Caen, CAEN. cedex FRANCE. March 24, 1997

A RELATION BETWEEN SCHUR P AND S. S. Leidwanger. Universite de Caen, CAEN. cedex FRANCE. March 24, 1997 A RELATION BETWEEN SCHUR P AND S FUNCTIONS S. Leidwanger Departement de Mathematiques, Universite de Caen, 0 CAEN cedex FRANCE March, 997 Abstract We dene a dierential operator of innite order which sends

More information

MATH FINAL SOLUTION

MATH FINAL SOLUTION MATH 185-4 FINAL SOLUTION 1. (8 points) Determine whether the following statements are true of false, no justification is required. (1) (1 point) Let D be a domain and let u,v : D R be two harmonic functions,

More information

Stability Theory for Dissipatively. Perturbed Hamiltonian Systems JOHN H. MADDOCKS

Stability Theory for Dissipatively. Perturbed Hamiltonian Systems JOHN H. MADDOCKS Stability Theory for Dissipatively Perturbed Hamiltonian Systems JOHN H. MADDOCKS Department of Mathematics and Institute for Physical Science and Technology University of Maryland, College Park AND MICHAEL

More information

FFTs in Graphics and Vision. Homogenous Polynomials and Irreducible Representations

FFTs in Graphics and Vision. Homogenous Polynomials and Irreducible Representations FFTs in Graphics and Vision Homogenous Polynomials and Irreducible Representations 1 Outline The 2π Term in Assignment 1 Homogenous Polynomials Representations of Functions on the Unit-Circle Sub-Representations

More information

1 Assignment 1: Nonlinear dynamics (due September

1 Assignment 1: Nonlinear dynamics (due September Assignment : Nonlinear dynamics (due September 4, 28). Consider the ordinary differential equation du/dt = cos(u). Sketch the equilibria and indicate by arrows the increase or decrease of the solutions.

More information

Max-Planck-Institut fur Mathematik in den Naturwissenschaften Leipzig Uniformly distributed measures in Euclidean spaces by Bernd Kirchheim and David Preiss Preprint-Nr.: 37 1998 Uniformly Distributed

More information

hmhco.com Adaptive. Intuitive. Transformative. AGA Scope and Sequence

hmhco.com Adaptive. Intuitive. Transformative. AGA Scope and Sequence hmhco.com Adaptive. Intuitive. Transformative. AGA Algebra 1 Geometry Algebra 2 Scope and Sequence Number and Quantity The Real Number System (N-RN) Properties of exponents to rational exponents Properties

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

Use estimation strategies reasonably and fluently while integrating content from each of the other strands. PO 1. Recognize the limitations of

Use estimation strategies reasonably and fluently while integrating content from each of the other strands. PO 1. Recognize the limitations of for Strand 1: Number and Operations Concept 1: Number Sense Understand and apply numbers, ways of representing numbers, and the relationships among numbers and different number systems. PO 1. Solve problems

More information