Station keeping problem

Size: px
Start display at page:

Download "Station keeping problem"

Transcription

1 Station keeping problem Eric Goubault Benjamin Martin Sylvie Putot 8 June 016 Benjamin Martin Station keeping problem 8 June / 18

2 Introduction Hybrid autonomous systems Consider the system: 9x f px, uq where x P R n states, u P R m control (discrete number of possible controls). System is autonomous as u only depends on states. V -stability A function V pxq : R n Ñ R is V -stable if: V ě 0 Ñ 9 V ă 0 Let V : tx : V pxq ď 0u. If the system is V -stable, then from any initial states, after a given time, the trajectory enters the set V and never exits it. Benjamin Martin Station keeping problem 8 June 016 / 18

3 Introduction Illustration (Luc Jaulin) Benjamin Martin Station keeping problem 8 June / 18

4 Introduction Problem example: station keeping of a planar robot (1) Cartesian coordinates $ & 9x cospθq 9y sinpθq % 9θ u $ & % Polar coordinates 9φ sin φ d ` u d 9 cos φ 9α sin φ d with φ θ ` α π. Benjamin Martin Station keeping problem 8 June / 18

5 Introduction Problem example: station keeping of a planar robot () " 9φ sin φ d ` u d 9 cos φ with control law, e.g: # 1 if cos φ ď u sin φ otherwise? Question Is it certain that from any initial state, the robot eventually stays around a beacon centred at the origin? Benjamin Martin Station keeping problem 8 June / 18

6 Introduction Problem example: station keeping of a planar robot (3) Π 4 Π Π 4 0 Π 4 Π 4 Π Benjamin Martin Station keeping problem 8 June / 18

7 Introduction Transformation into a polynomial system Idea Try to prove the existence of an (algebraic) invariant for the system which allows to show what we want. Only possible with algebraic systems, thus adding extra variables: h sin φ, g cos φ and e 1 d. We obtain a polynomial system: $ 9h phe ` uqg & 9g phe ` uqh 9φ he ` u d 9 g % 9e ge with h ` g 1 and de 1. Benjamin Martin Station keeping problem 8 June / 18

8 Introduction Darboux polynomials Let L f ppq be the Lie derivative of polynomial p P Rrxs, (with respect to the flow f ). Definition A polynomial p is Darboux if L f ppq qp with q P Rrxs. In our case, is Darboux: e with cofactor ge, g ` h with cofactor 0. If u constant, pu ` ehq with cofactor ge If u h, dh with cofactor g. If u h, he with cofactor gpe 1q Benjamin Martin Station keeping problem 8 June / 18

9 Introduction Darboux polynomials Let L f ppq be the Lie derivative of polynomial p P Rrxs, (with respect to the flow f ). Definition A polynomial p is Darboux if L f ppq qp with q P Rrxs. In our case, is Darboux: e with cofactor ge g ` h with cofactor 0. If u constant, pu ` ehq with cofactor ge If u h, dh with cofactor g. If u h, he with cofactor gpe 1q Darboux polynomials can be used to derive invariant/variant as rational or logarithmic functions, e.g. [Goubault et al., ACC 014]. Benjamin Martin Station keeping problem 8 June / 18

10 Constant Control Invariant Consider u constant, then since u ` eh and e are Darboux with same cofactor, then ˆu ` eh L f e L f pu ` ehqe pu ` ehql f pe q e 4 0. This implies u`eh e condition e 0, h 0 : is constant (invariant). We have then for any initial u ` eh e u ` e 0h 0 e0 e0pu ` ehq ` e pu ` e 0 h 0 q 0, and as e, e 0 ą 0 that the sign of u ` eh is maintained. Benjamin Martin Station keeping problem 8 June / 18

11 Constant Control Invariant Consider u constant, then since u ` eh and e are Darboux with same cofactor, then ˆu ` eh L f e L f pu ` ehqe pu ` ehql f pe q e 4 0. This implies u`eh e condition e 0, h 0 : is constant (invariant). We have then for any initial u ` eh e u ` e 0h 0 e0 e0pu ` ehq ` e pu ` e 0 h 0 q 0, and as e, e 0 ą 0 that the sign of u ` eh is maintained. Ñ Can be obtained e.g. with [Goubault et al., ACC 014] or [Ghorbal and Platzer, TACAS 014] Benjamin Martin Station keeping problem 8 June / 18

12 Constant Control Invariant regions 8 V cst : V cst : V cst : " pφ, dq : u ` sinpφq * ă 0 d " pφ, dq : u ` sinpφq * 0 d " pφ, dq : u ` sinpφq * ą 0 d Benjamin Martin Station keeping problem 8 June / 18

13 Proportional control Invariant: proportional control Recall: dh is Darboux with cofactor g, and 9 d g. We can deduce: L f plogp dh q dq Lp dh q dh ` g 0. (since d ą 0, dh can be replaced by dh if h ă 0, dh otherwise) Benjamin Martin Station keeping problem 8 June / 18

14 Proportional control Invariant: proportional control Recall: dh is Darboux with cofactor g, and 9 d g. We can deduce: L f plogp dh q dq Lp dh q dh ` g 0. (since d ą 0, dh can be replaced by dh if h ă 0, dh otherwise) This implies logp dh q d is constant (invariant). For any initial condition d 0, h 0 : logp dh q d logp d 0 h 0 q d 0 logp dh q d logp d 0 h 0 q ` d 0 0. Benjamin Martin Station keeping problem 8 June / 18

15 Proportional control Invariant regions 10 V pro : tpφ, dq : logp sinpφqd q d ă u 8 V pro : tpφ, dq : logp sinpφqd q d u 6 4 V pro : tpφ, dq : logp sinpφqd q d ą u Benjamin Martin Station keeping problem 8 June / 18

16 Switched System Switched system Recall: u #? 1 if g ď h otherwise. Benjamin Martin Station keeping problem 8 June / 18

17 Switched System Switched system Recall: u #? 1 if g ď h otherwise. Consequence: all the proportional invariant regions are cut (not existing), but an invariant region in the constant case exists, maximal when V cst 1{ (i.e., the region tangent at the vertical line at φ π{4, at point p π{4,? {q). Benjamin Martin Station keeping problem 8 June / 18

18 Switched System Switched system Recall: u #? 1 if g ď h otherwise. Consequence: all the proportional invariant regions are cut (not existing), but an invariant region in the constant case exists, maximal when V cst 1{ (i.e., the region tangent at the vertical line at φ π{4, at point p π{4,? {q). We observe when proportional control is applied: 9 V cst ă 0; on the frontier of the region φ π{4 and φ π{4: flow enter when d ą 1, flow exit when d ă 1. Benjamin Martin Station keeping problem 8 June / 18

19 Switched System Switched system Recall: u #? 1 if g ď h otherwise. Consequence: all the proportional invariant regions are cut (not existing), but an invariant region in the constant case exists, maximal when V cst 1{ (i.e., the region tangent at the vertical line at φ π{4, at point p π{4,? {q). We observe when proportional control is applied: 9 V cst ă 0; on the frontier of the region φ π{4 and φ π{4: flow enter when d ą 1, flow exit when d ă 1. ñ Can the region defined by V cst ď 1{ be reached from anywhere? Benjamin Martin Station keeping problem 8 June / 18

20 Switched System Decomposition of the state space d φ Benjamin Martin Station keeping problem 8 June / 18

21 Switched System Decomposition of the state space d Regions 5,6,7 contains the invariant. φ Benjamin Martin Station keeping problem 8 June / 18

22 Switched System Analysis From region 5 to 6: flow enters at d 0 P r1,? s. By construction, enters 7 and then 5 at d 1 satisfying: logp d 0 h 0 q d 0 logp d 1 h 0 q d 1 d 1 e d 1 d 0 e d 0, with h 0 sinp π{4q. Benjamin Martin Station keeping problem 8 June / 18

23 Switched System Analysis From region 5 to 6: flow enters at d 0 P r1,? s. By construction, enters 7 and then 5 at d 1 satisfying: logp d 0 h 0 q d 0 logp d 1 h 0 q d 1 d 1 e d 1 d 0 e d 0, with h 0 sinp π{4q. Lambert-W function W pzq is defined as the solution to z xe x. Here, d 1 W p d 0 e d 0 q. From [Stewart, 009], it satisfies: d 0 ď W p d 0 e d 0 q ď 1{d 0. Therefore, d 1 P r d 0, 1{d 0 s Ñ d 1 P r?, 1s. Benjamin Martin Station keeping problem 8 June / 18

24 Switched System Analysis From region 5 to 6: flow enters at d 0 P r1,? s. By construction, enters 7 and then 5 at d 1 satisfying: logp d 0 h 0 q d 0 logp d 1 h 0 q d 1 d 1 e d 1 d 0 e d 0, with h 0 sinp π{4q. Lambert-W function W pzq is defined as the solution to z xe x. Here, d 1 W p d 0 e d 0 q. From [Stewart, 009], it satisfies: d 0 ď W p d 0 e d 0 q ď 1{d 0. Therefore, d 1 P r d 0, 1{d 0 s Ñ d 1 P r?, 1s. Recall d 1 a pq{ belongs to the maximal invariant. Hence, two cases: d 1 P r?,? {s or d 1 P r? {, 1s Benjamin Martin Station keeping problem 8 June / 18

25 Switched System First case: sliding mode Sliding mode on surface S tpφ, dq : φ π{4, d P r? {, 1su: flows in 5 are oriented towards 7 and vice versa. Benjamin Martin Station keeping problem 8 June / 18

26 Switched System First case: sliding mode Sliding mode on surface S tpφ, dq : φ π{4, d P r? {, 1su: flows in 5 are oriented towards 7 and vice versa. Note: f pφ, dq ˆ h d ` 1 g f`pφ, dq ˆ h d h g. From [Fillipov, 1988; Liberzon, 003], the system behaves as the unique convex combination f λ λf ` p1 λqf` normal to the normal of the S (vector p1, 0q). I.e. f λ with λ satisfying xf λ, p1, 0qy 0. Benjamin Martin Station keeping problem 8 June / 18

27 Switched System First case: sliding mode Sliding mode on surface S tpφ, dq : φ π{4, d P r? {, 1su: flows in 5 are oriented towards 7 and vice versa. Note: f pφ, dq ˆ h d ` 1 g f`pφ, dq ˆ h d h g. From [Fillipov, 1988; Liberzon, 003], the system behaves as the unique convex combination f λ λf ` p1 λqf` normal to the normal of the S (vector p1, 0q). I.e. f λ with λ satisfying xf λ, p1, 0qy 0. ñ f λ p0, gq with g?{. d is strictly decreasing with constant speed: d eventually reaches? { Benjamin Martin Station keeping problem 8 June / 18

28 Switched System Second case Exit surface is S tpφ, dq : φ π{4, d P r?,? {su. Benjamin Martin Station keeping problem 8 June / 18

29 Switched System Second case Exit surface is S tpφ, dq : φ π{4, d P r?,? {su. Flow enters region 5, with trajectory verifying V cst constant. In addition, V cst is monotonically decreasing on S: the outermost trajectory starts at d 0?. Benjamin Martin Station keeping problem 8 June / 18

30 Switched System Second case Exit surface is S tpφ, dq : φ π{4, d P r?,? {su. Flow enters region 5, with trajectory verifying V cst constant. In addition, V cst is monotonically decreasing on S: the outermost trajectory starts at d 0?. We deduce, from the def. of V cst, that the trajectory encounters φ π{4 at d 1 P r? {, 1s: entering into the sliding mode. Benjamin Martin Station keeping problem 8 June / 18

31 Switched System Second case Exit surface is S tpφ, dq : φ π{4, d P r?,? {su. Flow enters region 5, with trajectory verifying V cst constant. In addition, V cst is monotonically decreasing on S: the outermost trajectory starts at d 0?. We deduce, from the def. of V cst, that the trajectory encounters φ π{4 at d 1 P r? {, 1s: entering into the sliding mode. Proof of V -stability of V cst ` 1{ Benjamin Martin Station keeping problem 8 June / 18

32 Conclusion Conclusion A simple problem involves a non-trivial algebraic proof of stability. Benjamin Martin Station keeping problem 8 June / 18

33 Conclusion Conclusion A simple problem involves a non-trivial algebraic proof of stability. algebraic invariants can be automatically generated... Benjamin Martin Station keeping problem 8 June / 18

34 Conclusion Conclusion A simple problem involves a non-trivial algebraic proof of stability. algebraic invariants can be automatically generated but not the proof itself: only assisting the proof; Benjamin Martin Station keeping problem 8 June / 18

35 Conclusion Conclusion A simple problem involves a non-trivial algebraic proof of stability. algebraic invariants can be automatically generated but not the proof itself: only assisting the proof; in particular, specific functions (e.g. Lambert W function) can be involved; Benjamin Martin Station keeping problem 8 June / 18

36 Conclusion Conclusion A simple problem involves a non-trivial algebraic proof of stability. algebraic invariants can be automatically generated but not the proof itself: only assisting the proof; in particular, specific functions (e.g. Lambert W function) can be involved; can the proof be more direct? Benjamin Martin Station keeping problem 8 June / 18

Random Variables. Andreas Klappenecker. Texas A&M University

Random Variables. Andreas Klappenecker. Texas A&M University Random Variables Andreas Klappenecker Texas A&M University 1 / 29 What is a Random Variable? Random variables are functions that associate a numerical value to each outcome of an experiment. For instance,

More information

Entropy and Ergodic Theory Lecture 28: Sinai s and Ornstein s theorems, II

Entropy and Ergodic Theory Lecture 28: Sinai s and Ornstein s theorems, II Entropy and Ergodic Theory Lecture 28: Sinai s and Ornstein s theorems, II 1 Proof of the update proposition Consider again an ergodic and atomless source ra Z, µs and a Bernoulli source rb Z, pˆz s such

More information

DS-GA 3001: PROBLEM SESSION 2 SOLUTIONS VLADIMIR KOBZAR

DS-GA 3001: PROBLEM SESSION 2 SOLUTIONS VLADIMIR KOBZAR DS-GA 3: PROBLEM SESSION SOLUTIONS VLADIMIR KOBZAR Note: In this discussion we allude to the fact the dimension of a vector space is given by the number of basis vectors. We will shortly establish this

More information

Entropy and Ergodic Theory Notes 22: The Kolmogorov Sinai entropy of a measure-preserving system

Entropy and Ergodic Theory Notes 22: The Kolmogorov Sinai entropy of a measure-preserving system Entropy and Ergodic Theory Notes 22: The Kolmogorov Sinai entropy of a measure-preserving system 1 Joinings and channels 1.1 Joinings Definition 1. If px, µ, T q and py, ν, Sq are MPSs, then a joining

More information

Draft. Lecture 14 Eigenvalue Problems. MATH 562 Numerical Analysis II. Songting Luo. Department of Mathematics Iowa State University

Draft. Lecture 14 Eigenvalue Problems. MATH 562 Numerical Analysis II. Songting Luo. Department of Mathematics Iowa State University Lecture 14 Eigenvalue Problems Songting Luo Department of Mathematics Iowa State University MATH 562 Numerical Analysis II Songting Luo ( Department of Mathematics Iowa State University[0.5in] MATH562

More information

Solving Linear and Rational Inequalities Algebraically. Definition 22.1 Two inequalities are equivalent if they have the same solution set.

Solving Linear and Rational Inequalities Algebraically. Definition 22.1 Two inequalities are equivalent if they have the same solution set. Inequalities Concepts: Equivalent Inequalities Solving Linear and Rational Inequalities Algebraically Approximating Solutions to Inequalities Graphically (Section 4.4).1 Equivalent Inequalities Definition.1

More information

Mathematical Finance

Mathematical Finance ETH Zürich, HS 2017 Prof. Josef Teichmann Matti Kiiski Mathematical Finance Solution sheet 14 Solution 14.1 Denote by Z pz t q tpr0,t s the density process process of Q with respect to P. (a) The second

More information

Brief Revision Notes and Strategies

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

More information

Asymptotic Analysis 1: Limits and Asymptotic Equality

Asymptotic Analysis 1: Limits and Asymptotic Equality Asymptotic Analysis 1: Limits and Asymptotic Equality Andreas Klappenecker and Hyunyoung Lee Texas A&M University 1 / 15 Motivation In asymptotic analysis, our goal is to compare a function f pnq with

More information

Chapter 6. Differentially Flat Systems

Chapter 6. Differentially Flat Systems Contents CAS, Mines-ParisTech 2008 Contents Contents 1, Linear Case Introductory Example: Linear Motor with Appended Mass General Solution (Linear Case) Contents Contents 1, Linear Case Introductory Example:

More information

Theorem The simple finite dimensional sl 2 modules Lpdq are indexed by

Theorem The simple finite dimensional sl 2 modules Lpdq are indexed by The Lie algebra sl 2 pcq has basis x, y, and h, with relations rh, xs 2x, rh, ys 2y, and rx, ys h. Theorem The simple finite dimensional sl 2 modules Lpdq are indexed by d P Z ě0 with basis tv`, yv`, y

More information

Linear and Bilinear Algebra (2WF04) Jan Draisma

Linear and Bilinear Algebra (2WF04) Jan Draisma Linear and Bilinear Algebra (2WF04) Jan Draisma CHAPTER 3 The minimal polynomial and nilpotent maps 3.1. Minimal polynomial Throughout this chapter, V is a finite-dimensional vector space of dimension

More information

L E C T U R E 2 1 : M AT R I X T R A N S F O R M AT I O N S. Monday, November 14

L E C T U R E 2 1 : M AT R I X T R A N S F O R M AT I O N S. Monday, November 14 L E C T U R E 2 1 : M AT R I X T R A N S F O R M AT I O N S Monday, November 14 In this lecture we want to consider functions between vector spaces. Recall that a function is simply a rule that takes an

More information

For example, p12q p2x 1 x 2 ` 5x 2 x 2 3 q 2x 2 x 1 ` 5x 1 x 2 3. (a) Let p 12x 5 1x 7 2x 4 18x 6 2x 3 ` 11x 1 x 2 x 3 x 4,

For example, p12q p2x 1 x 2 ` 5x 2 x 2 3 q 2x 2 x 1 ` 5x 1 x 2 3. (a) Let p 12x 5 1x 7 2x 4 18x 6 2x 3 ` 11x 1 x 2 x 3 x 4, SOLUTIONS Math A4900 Homework 5 10/4/2017 1. (DF 2.2.12(a)-(d)+) Symmetric polynomials. The group S n acts on the set tx 1, x 2,..., x n u by σ x i x σpiq. That action extends to a function S n ˆ A Ñ A,

More information

Optimization-based Modeling and Analysis Techniques for Safety-Critical Software Verification

Optimization-based Modeling and Analysis Techniques for Safety-Critical Software Verification Optimization-based Modeling and Analysis Techniques for Safety-Critical Software Verification Mardavij Roozbehani Eric Feron Laboratory for Information and Decision Systems Department of Aeronautics and

More information

On principal eigenpair of temporal-joined adjacency matrix for spreading phenomenon Abstract. Keywords: 1 Introduction

On principal eigenpair of temporal-joined adjacency matrix for spreading phenomenon Abstract. Keywords: 1 Introduction 1,3 1,2 1 2 3 r A ptq pxq p0q 0 pxq 1 x P N S i r A ptq r A ÝÑH ptq i i ÝÑH t ptq i N t1 ÝÑ ź H ptq θ1 t 1 0 i `t1 ri ` A r ÝÑ H p0q ra ptq t ra ptq i,j 1 i j t A r ptq i,j 0 I r ś N ˆ N mś ĂA l A Ą m...

More information

Entropy and Ergodic Theory Lecture 27: Sinai s factor theorem

Entropy and Ergodic Theory Lecture 27: Sinai s factor theorem Entropy and Ergodic Theory Lecture 27: Sinai s factor theorem What is special about Bernoulli shifts? Our main result in Lecture 26 is weak containment with retention of entropy. If ra Z, µs and rb Z,

More information

SOLUTIONS Math B4900 Homework 9 4/18/2018

SOLUTIONS Math B4900 Homework 9 4/18/2018 SOLUTIONS Math B4900 Homework 9 4/18/2018 1. Show that if G is a finite group and F is a field, then any simple F G-modules is finitedimensional. [This is not a consequence of Maschke s theorem; it s just

More information

Solving Polynomial and Rational Inequalities Algebraically. Approximating Solutions to Inequalities Graphically

Solving Polynomial and Rational Inequalities Algebraically. Approximating Solutions to Inequalities Graphically 10 Inequalities Concepts: Equivalent Inequalities Solving Polynomial and Rational Inequalities Algebraically Approximating Solutions to Inequalities Graphically (Section 4.6) 10.1 Equivalent Inequalities

More information

fy (X(g)) Y (f)x(g) gy (X(f)) Y (g)x(f)) = fx(y (g)) + gx(y (f)) fy (X(g)) gy (X(f))

fy (X(g)) Y (f)x(g) gy (X(f)) Y (g)x(f)) = fx(y (g)) + gx(y (f)) fy (X(g)) gy (X(f)) 1. Basic algebra of vector fields Let V be a finite dimensional vector space over R. Recall that V = {L : V R} is defined to be the set of all linear maps to R. V is isomorphic to V, but there is no canonical

More information

The categorical origins of entropy

The categorical origins of entropy The categorical origins of entropy Tom Leinster University of Edinburgh These slides: www.maths.ed.ac.uk/tl/ or Tom Leinster University of Edinburgh These slides: www.maths.ed.ac.uk/tl/ Maximum entropy

More information

Suppose that f is continuous on [a, b] and differentiable on (a, b). Then

Suppose that f is continuous on [a, b] and differentiable on (a, b). Then Lectures 1/18 Derivatives and Graphs When we have a picture of the graph of a function f(x), we can make a picture of the derivative f (x) using the slopes of the tangents to the graph of f. In this section

More information

Characterizing Algebraic Invariants by Differential Radical Invariants

Characterizing Algebraic Invariants by Differential Radical Invariants Characterizing Algebraic Invariants by Differential Radical Invariants Khalil Ghorbal Carnegie Mellon university Joint work with André Platzer ÉNS Paris April 1st, 2014 K. Ghorbal (CMU) Invited Talk 1

More information

The Riemann Roch theorem for metric graphs

The Riemann Roch theorem for metric graphs The Riemann Roch theorem for metric graphs R. van Dobben de Bruyn 1 Preface These are the notes of a talk I gave at the graduate student algebraic geometry seminar at Columbia University. I present a short

More information

A Cartan subalgebra of g is a maximal abelian subalgebra h Ă g consisting of semisimple (diagonalizeable) elements. (Analogous to Jucys-Murphy

A Cartan subalgebra of g is a maximal abelian subalgebra h Ă g consisting of semisimple (diagonalizeable) elements. (Analogous to Jucys-Murphy A Cartan subalgebra of g is a maximal abelian subalgebra h Ă g consisting of semisimple (diagonalizeable) elements. (Analogous to Jucys-Murphy elements!!) A Cartan subalgebra of g is a maximal abelian

More information

Formal Verification and Automated Generation of Invariant Sets

Formal Verification and Automated Generation of Invariant Sets Formal Verification and Automated Generation of Invariant Sets Khalil Ghorbal Carnegie Mellon University Joint work with Andrew Sogokon and André Platzer Toulouse, France 11-12 June, 2015 K. Ghorbal (CMU,

More information

1. Examples. We did most of the following in class in passing. Now compile all that data.

1. Examples. We did most of the following in class in passing. Now compile all that data. SOLUTIONS Math A4900 Homework 12 11/22/2017 1. Examples. We did most of the following in class in passing. Now compile all that data. (a) Favorite examples: Let R tr, Z, Z{3Z, Z{6Z, M 2 prq, Rrxs, Zrxs,

More information

COMPLEX NUMBERS LAURENT DEMONET

COMPLEX NUMBERS LAURENT DEMONET COMPLEX NUMBERS LAURENT DEMONET Contents Introduction: numbers 1 1. Construction of complex numbers. Conjugation 4 3. Geometric representation of complex numbers 5 3.1. The unit circle 6 3.. Modulus of

More information

MAC Module 5 Vectors in 2-Space and 3-Space II

MAC Module 5 Vectors in 2-Space and 3-Space II MAC 2103 Module 5 Vectors in 2-Space and 3-Space II 1 Learning Objectives Upon completing this module, you should be able to: 1. Determine the cross product of a vector in R 3. 2. Determine a scalar triple

More information

14 From modular forms to automorphic representations

14 From modular forms to automorphic representations 14 From modular forms to automorphic representations We fix an even integer k and N > 0 as before. Let f M k (N) be a modular form. We would like to product a function on GL 2 (A Q ) out of it. Recall

More information

NOTES ON SOME EXERCISES OF LECTURE 5, MODULE 2

NOTES ON SOME EXERCISES OF LECTURE 5, MODULE 2 NOTES ON SOME EXERCISES OF LECTURE 5, MODULE 2 MARCO VITTURI Contents 1. Solution to exercise 5-2 1 2. Solution to exercise 5-3 2 3. Solution to exercise 5-7 4 4. Solution to exercise 5-8 6 5. Solution

More information

Generalized eigenspaces

Generalized eigenspaces Generalized eigenspaces November 30, 2012 Contents 1 Introduction 1 2 Polynomials 2 3 Calculating the characteristic polynomial 5 4 Projections 7 5 Generalized eigenvalues 10 6 Eigenpolynomials 15 1 Introduction

More information

JOHN THICKSTUN. p x. n sup Ipp y n x np x nq. By the memoryless and stationary conditions respectively, this reduces to just 1 yi x i.

JOHN THICKSTUN. p x. n sup Ipp y n x np x nq. By the memoryless and stationary conditions respectively, this reduces to just 1 yi x i. ESTIMATING THE SHANNON CAPACITY OF A GRAPH JOHN THICKSTUN. channels and graphs Consider a stationary, memoryless channel that maps elements of discrete alphabets X to Y according to a distribution p y

More information

Hybrid Systems Course Lyapunov stability

Hybrid Systems Course Lyapunov stability Hybrid Systems Course Lyapunov stability OUTLINE Focus: stability of an equilibrium point continuous systems decribed by ordinary differential equations (brief review) hybrid automata OUTLINE Focus: stability

More information

Elementary factoring algorithms

Elementary factoring algorithms Math 5330 Spring 018 Elementary factoring algorithms The RSA cryptosystem is founded on the idea that, in general, factoring is hard. Where as with Fermat s Little Theorem and some related ideas, one can

More information

A Hierarchy of Proof Rules for Checking Differential Invariance of Algebraic Sets

A Hierarchy of Proof Rules for Checking Differential Invariance of Algebraic Sets A Hierarchy of Proof Rules for Checking Differential Invariance of Algebraic Sets Khalil Ghorbal 1 Andrew Sogokon 2 André Platzer 1 1. Carnegie Mellon University 2. University of Edinburgh VMCAI, Mumbai,

More information

STEP Support Programme. Pure STEP 1 Questions

STEP Support Programme. Pure STEP 1 Questions STEP Support Programme Pure STEP 1 Questions 2012 S1 Q4 1 Preparation Find the equation of the tangent to the curve y = x at the point where x = 4. Recall that x means the positive square root. Solve the

More information

When Can We Reduce Multi-Variable Range Estimation Problem to Two Fewer-Variable Problems?

When Can We Reduce Multi-Variable Range Estimation Problem to Two Fewer-Variable Problems? University of Texas at El Paso DigitalCommons@UTEP Departmental Technical Reports (CS) Department of Computer Science 12-2014 When Can We Reduce Multi-Variable Range Estimation Problem to Two Fewer-Variable

More information

Curves in the configuration space Q or in the velocity phase space Ω satisfying the Euler-Lagrange (EL) equations,

Curves in the configuration space Q or in the velocity phase space Ω satisfying the Euler-Lagrange (EL) equations, Physics 6010, Fall 2010 Hamiltonian Formalism: Hamilton s equations. Conservation laws. Reduction. Poisson Brackets. Relevant Sections in Text: 8.1 8.3, 9.5 The Hamiltonian Formalism We now return to formal

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

Week 2 Techniques of Integration

Week 2 Techniques of Integration Week Techniques of Integration Richard Earl Mathematical Institute, Oxford, OX LB, October Abstract Integration by Parts. Substitution. Rational Functions. Partial Fractions. Trigonometric Substitutions.

More information

DS-GA 1002: PREREQUISITES REVIEW SOLUTIONS VLADIMIR KOBZAR

DS-GA 1002: PREREQUISITES REVIEW SOLUTIONS VLADIMIR KOBZAR DS-GA 2: PEEQUISIES EVIEW SOLUIONS VLADIMI KOBZA he following is a selection of questions (drawn from Mr. Bernstein s notes) for reviewing the prerequisites for DS-GA 2. Questions from Ch, 8, 9 and 2 of

More information

Information Geometry and Algebraic Statistics

Information Geometry and Algebraic Statistics Matematikos ir informatikos institutas Vinius Information Geometry and Algebraic Statistics Giovanni Pistone and Eva Riccomagno POLITO, UNIGE Wednesday 30th July, 2008 G.Pistone, E.Riccomagno (POLITO,

More information

Extensive Form Abstract Economies and Generalized Perfect Recall

Extensive Form Abstract Economies and Generalized Perfect Recall Extensive Form Abstract Economies and Generalized Perfect Recall Nicholas Butler Princeton University July 30, 2015 Nicholas Butler (Princeton) EFAE and Generalized Perfect Recall July 30, 2015 1 / 1 Motivation

More information

Outline. Input to state Stability. Nonlinear Realization. Recall: _ Space. _ Space: Space of all piecewise continuous functions

Outline. Input to state Stability. Nonlinear Realization. Recall: _ Space. _ Space: Space of all piecewise continuous functions Outline Input to state Stability Motivation for Input to State Stability (ISS) ISS Lyapunov function. Stability theorems. M. Sami Fadali Professor EBME University of Nevada, Reno 1 2 Recall: _ Space _

More information

MATH 387 ASSIGNMENT 2

MATH 387 ASSIGNMENT 2 MATH 387 ASSIGMET 2 SAMPLE SOLUTIOS BY IBRAHIM AL BALUSHI Problem 4 A matrix A ra ik s P R nˆn is called symmetric if a ik a ki for all i, k, and is called positive definite if x T Ax ě 0 for all x P R

More information

Sobolev-Type Extremal Polynomials

Sobolev-Type Extremal Polynomials Soolev-Type Extremal Polyomials (case of the sigular measures) Ael Díaz-Gozález Joi with Héctor Pijeira-Carera ULL 2016 Soolev-Type Extremal Polyomials adiazgo@math.uc3m.es 1 / 18 Moic extremal polyomials

More information

Chapter 4: More Applications of Differentiation

Chapter 4: More Applications of Differentiation Chapter 4: More Applications of Differentiation Autumn 2017 Department of Mathematics Hong Kong Baptist University 1 / 68 In the fall of 1972, President Nixon announced that, the rate of increase of inflation

More information

MATH 12 CLASS 4 NOTES, SEP

MATH 12 CLASS 4 NOTES, SEP MATH 12 CLASS 4 NOTES, SEP 28 2011 Contents 1. Lines in R 3 1 2. Intersections of lines in R 3 2 3. The equation of a plane 4 4. Various problems with planes 5 4.1. Intersection of planes with planes or

More information

Math 3108: Linear Algebra

Math 3108: Linear Algebra Math 3108: Linear Algebra Instructor: Jason Murphy Department of Mathematics and Statistics Missouri University of Science and Technology 1 / 323 Contents. Chapter 1. Slides 3 70 Chapter 2. Slides 71 118

More information

Market Equilibrium and the Core

Market Equilibrium and the Core Market Equilibrium and the Core Ram Singh Lecture 3-4 September 22/25, 2017 Ram Singh (DSE) Market Equilibrium September 22/25, 2017 1 / 19 Market Exchange: Basics Let us introduce price in our pure exchange

More information

Why do Solutions of the Maxwell Boltzmann Equation Tend to be Gaussians? A Simple Answer

Why do Solutions of the Maxwell Boltzmann Equation Tend to be Gaussians? A Simple Answer Documenta Math. 1267 Why do Solutions of the Maxwell Boltzmann Equation Tend to be Gaussians? A Simple Answer Dirk Hundertmark, Young-Ran Lee Received: December 20, 2016 Communicated by Heinz Siedentop

More information

ẋ = f(x, y), ẏ = g(x, y), (x, y) D, can only have periodic solutions if (f,g) changes sign in D or if (f,g)=0in D.

ẋ = f(x, y), ẏ = g(x, y), (x, y) D, can only have periodic solutions if (f,g) changes sign in D or if (f,g)=0in D. 4 Periodic Solutions We have shown that in the case of an autonomous equation the periodic solutions correspond with closed orbits in phase-space. Autonomous two-dimensional systems with phase-space R

More information

Lecture 19 - Covariance, Conditioning

Lecture 19 - Covariance, Conditioning THEORY OF PROBABILITY VLADIMIR KOBZAR Review. Lecture 9 - Covariance, Conditioning Proposition. (Ross, 6.3.2) If X,..., X n are independent normal RVs with respective parameters µ i, σi 2 for i,..., n,

More information

Traces of rationality of Darmon points

Traces of rationality of Darmon points Traces of rationality of Darmon points [BD09] Bertolini Darmon, The rationality of Stark Heegner points over genus fields of real quadratic fields Seminari de Teoria de Nombres de Barcelona Barcelona,

More information

Entanglement Measures and Monotones

Entanglement Measures and Monotones Entanglement Measures and Monotones PHYS 500 - Southern Illinois University March 30, 2017 PHYS 500 - Southern Illinois University Entanglement Measures and Monotones March 30, 2017 1 / 11 Quantifying

More information

THE NUMBER OF POLYNOMIAL SOLUTIONS OF POLYNOMIAL RICCATI EQUATIONS

THE NUMBER OF POLYNOMIAL SOLUTIONS OF POLYNOMIAL RICCATI EQUATIONS This is a preprint of: The number of polynomial solutions of polynomial Riccati equations, Armengol Gasull, Joan Torregrosa, Xiang Zhang, J. Differential Equations, vol. 261, 5071 5093, 2016. DOI: [10.1016/j.jde.2016.07.019]

More information

Linear Programming. Operations Research. Anthony Papavasiliou 1 / 21

Linear Programming. Operations Research. Anthony Papavasiliou 1 / 21 1 / 21 Linear Programming Operations Research Anthony Papavasiliou Contents 2 / 21 1 Primal Linear Program 2 Dual Linear Program Table of Contents 3 / 21 1 Primal Linear Program 2 Dual Linear Program Linear

More information

Abstract Measure Theory

Abstract Measure Theory 2 Abstract Measure Theory Lebesgue measure is one of the premier examples of a measure on R d, but it is not the only measure and certainly not the only important measure on R d. Further, R d is not the

More information

Lecture 10 + additional notes

Lecture 10 + additional notes CSE533: Information Theorn Computer Science November 1, 2010 Lecturer: Anup Rao Lecture 10 + additional notes Scribe: Mohammad Moharrami 1 Constraint satisfaction problems We start by defining bivariate

More information

Introduction to Game Theory

Introduction to Game Theory Introduction to Game Theory Part 3. Dynamic games of incomplete information Chapter 3. Job Market Signaling Ciclo Profissional 2 o Semestre / 2011 Graduação em Ciências Econômicas V. Filipe Martins-da-Rocha

More information

Differential Equation Axiomatization The Impressive Power of Differential Ghosts

Differential Equation Axiomatization The Impressive Power of Differential Ghosts Differential Equation Axiomatization The Impressive Power of Differential Ghosts arxiv:180201226v2 [cslo] 1 May 2018 André Platzer Abstract Yong Kiam Tan We prove the completeness of an axiomatization

More information

Mathematische Methoden der Unsicherheitsquantifizierung

Mathematische Methoden der Unsicherheitsquantifizierung Mathematische Methoden der Unsicherheitsquantifizierung Oliver Ernst Professur Numerische Mathematik Sommersemester 2014 Contents 1 Introduction 1.1 What is Uncertainty Quantification? 1.2 A Case Study:

More information

Singular integral operators and the Riesz transform

Singular integral operators and the Riesz transform Singular integral operators and the Riesz transform Jordan Bell jordan.bell@gmail.com Department of Mathematics, University of Toronto November 17, 017 1 Calderón-Zygmund kernels Let ω n 1 be the measure

More information

STABILITY OF 2D SWITCHED LINEAR SYSTEMS WITH CONIC SWITCHING. 1. Introduction

STABILITY OF 2D SWITCHED LINEAR SYSTEMS WITH CONIC SWITCHING. 1. Introduction STABILITY OF D SWITCHED LINEAR SYSTEMS WITH CONIC SWITCHING H LENS, M E BROUCKE, AND A ARAPOSTATHIS 1 Introduction The obective of this paper is to explore necessary and sufficient conditions for stability

More information

The Real Grassmannian Gr(2, 4)

The Real Grassmannian Gr(2, 4) The Real Grassmannian Gr(2, 4) We discuss the topology of the real Grassmannian Gr(2, 4) of 2-planes in R 4 and its double cover Gr + (2, 4) by the Grassmannian of oriented 2-planes They are compact four-manifolds

More information

Handout 2: Invariant Sets and Stability

Handout 2: Invariant Sets and Stability Engineering Tripos Part IIB Nonlinear Systems and Control Module 4F2 1 Invariant Sets Handout 2: Invariant Sets and Stability Consider again the autonomous dynamical system ẋ = f(x), x() = x (1) with state

More information

6.1 Composition of Functions

6.1 Composition of Functions 6. Composition of Functions SETTING THE STAGE Explore the concepts in this lesson in more detail using Exploration on page 579. Recall that composition was introduced as the result of substituting one

More information

Name: Class: Date: = 30.6 and t 15. = 125 D. t 21 = 20 = 3.75, S 6

Name: Class: Date: = 30.6 and t 15. = 125 D. t 21 = 20 = 3.75, S 6 Class: Date: Mock Final Exam Multiple Choice Identify the choice that best completes the statement or answers the question. 1. Two terms of an arithmetic sequence are t = 0.6 and t 1 = 89.6. What is t

More information

REMARKS ON THE TIME-OPTIMAL CONTROL OF A CLASS OF HAMILTONIAN SYSTEMS. Eduardo D. Sontag. SYCON - Rutgers Center for Systems and Control

REMARKS ON THE TIME-OPTIMAL CONTROL OF A CLASS OF HAMILTONIAN SYSTEMS. Eduardo D. Sontag. SYCON - Rutgers Center for Systems and Control REMARKS ON THE TIME-OPTIMAL CONTROL OF A CLASS OF HAMILTONIAN SYSTEMS Eduardo D. Sontag SYCON - Rutgers Center for Systems and Control Department of Mathematics, Rutgers University, New Brunswick, NJ 08903

More information

Algebraic. techniques1

Algebraic. techniques1 techniques Algebraic An electrician, a bank worker, a plumber and so on all have tools of their trade. Without these tools, and a good working knowledge of how to use them, it would be impossible for them

More information

(1) Recap of Differential Calculus and Integral Calculus (2) Preview of Calculus in three dimensional space (3) Tools for Calculus 3

(1) Recap of Differential Calculus and Integral Calculus (2) Preview of Calculus in three dimensional space (3) Tools for Calculus 3 Math 127 Introduction and Review (1) Recap of Differential Calculus and Integral Calculus (2) Preview of Calculus in three dimensional space (3) Tools for Calculus 3 MATH 127 Introduction to Calculus III

More information

Linear Equations in Linear Algebra

Linear Equations in Linear Algebra 1 Linear Equations in Linear Algebra 1.9 THE MATRIX OF A LINEAR TRANSFORMATION THE MATRIX OF A LINEAR TRANSFORMATION Theorem 10: Let T: R n R m be a linear transformation. Then there exists a unique matrix

More information

Introduction to computability Tutorial 7

Introduction to computability Tutorial 7 Introduction to computability Tutorial 7 Context free languages and Turing machines November 6 th 2014 Context-free languages 1. Show that the following languages are not context-free: a) L ta i b j a

More information

INC 693, 481 Dynamics System and Modelling: Lagrangian Method III Dr.-Ing. Sudchai Boonto Assistant Professor

INC 693, 481 Dynamics System and Modelling: Lagrangian Method III Dr.-Ing. Sudchai Boonto Assistant Professor INC 693, 481 Dynamics System and Modelling: Lagrangian Method III Dr.-Ing. Sudchai Boonto Assistant Professor Department of Control System and Instrumentation Engineering King Mongkut s Unniversity of

More information

NOTES WEEK 13 DAY 2 SCOT ADAMS

NOTES WEEK 13 DAY 2 SCOT ADAMS NOTES WEEK 13 DAY 2 SCOT ADAMS Recall: Let px, dq be a metric space. Then, for all S Ď X, we have p S is sequentially compact q ñ p S is closed and bounded q. DEFINITION 0.1. Let px, dq be a metric space.

More information

Algorithms for integer factorization and discrete logarithms computation

Algorithms for integer factorization and discrete logarithms computation /* */ C,A, /* */ R,a, /* */ M,E, L,i= 5,e, d[5],q[999 ]={0};main(N ){for (;i--;e=scanf("%" "d",d+i));for(a =*d; ++i

More information

Hamiltonian flows, cotangent lifts, and momentum maps

Hamiltonian flows, cotangent lifts, and momentum maps Hamiltonian flows, cotangent lifts, and momentum maps Jordan Bell jordan.bell@gmail.com Department of Mathematics, University of Toronto April 3, 2014 1 Symplectic manifolds Let (M, ω) and (N, η) be symplectic

More information

Master Algèbre géométrie et théorie des nombres Final exam of differential geometry Lecture notes allowed

Master Algèbre géométrie et théorie des nombres Final exam of differential geometry Lecture notes allowed Université de Bordeaux U.F. Mathématiques et Interactions Master Algèbre géométrie et théorie des nombres Final exam of differential geometry 2018-2019 Lecture notes allowed Exercise 1 We call H (like

More information

Lexington High School Mathematics Department Honors Pre-Calculus Final Exam 2002

Lexington High School Mathematics Department Honors Pre-Calculus Final Exam 2002 Name Teacher (circle): Roos/Andersen Kelly Kresser Class block (circle): A B C D E F G H Lexington High School Mathematics Department Honors Pre-Calculus Final Exam 00 This is a 90-minute exam, but you

More information

DIFFERENTIAL EQUATIONS COURSE NOTES, LECTURE 3: FIRST-ORDER LINEAR ODES.

DIFFERENTIAL EQUATIONS COURSE NOTES, LECTURE 3: FIRST-ORDER LINEAR ODES. DIFFERENTIAL EQUATIONS COURSE NOTES, LECTURE 3: FIRST-ORDER LINEAR ODES. ANDREW SALCH. First-order linear ODEs. If you read the definition of a linear ODE, you will see that a linear ODE which is also

More information

4 Branching Processes

4 Branching Processes 4 Branching Processes Organise by generations: Discrete time. If P(no offspring) 0 there is a probability that the process will die out. Let X = number of offspring of an individual p(x) = P(X = x) = offspring

More information

Planar interpolation with a pair of rational spirals T. N. T. Goodman 1 and D. S. Meek 2

Planar interpolation with a pair of rational spirals T. N. T. Goodman 1 and D. S. Meek 2 Planar interpolation with a pair of rational spirals T N T Goodman and D S Meek Abstract Spirals are curves of one-signed monotone increasing or decreasing curvature Spiral segments are fair curves with

More information

MATH1013 Calculus I. Revision 1

MATH1013 Calculus I. Revision 1 MATH1013 Calculus I Revision 1 Edmund Y. M. Chiang Department of Mathematics Hong Kong University of Science & Technology November 27, 2014 2013 1 Based on Briggs, Cochran and Gillett: Calculus for Scientists

More information

A note on linear differential equations with periodic coefficients.

A note on linear differential equations with periodic coefficients. A note on linear differential equations with periodic coefficients. Maite Grau (1) and Daniel Peralta-Salas (2) (1) Departament de Matemàtica. Universitat de Lleida. Avda. Jaume II, 69. 251 Lleida, Spain.

More information

Multidimensional symbolic dynamics

Multidimensional symbolic dynamics Multidimensional symbolic dynamics (Minicourse Lecture 3) Michael H. chraudner Centro de Modelamiento Matemático Universidad de Chile mschraudner@dim.uchile.cl www.cmm.uchile.cl/ mschraudner 1st French-Chilean

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

The MOOD method for steady-state Euler equations

The MOOD method for steady-state Euler equations The MOOD method for steady-state Euler equations G.J. Machado 1, S. Clain 1,2, R. Loubère 2 1 Universidade do Minho, Centre of Mathematics, Guimarães, Portugal 2 Université Paul Sabatier, Institut de Mathématique

More information

Galactic Astronomy 2016

Galactic Astronomy 2016 10 Potential theory The study of dynamics is fundamental to any understanding of galaxies. The following few chapters provide a brief summary of the most important results. More details can be found in

More information

Convergence Rate of Nonlinear Switched Systems

Convergence Rate of Nonlinear Switched Systems Convergence Rate of Nonlinear Switched Systems Philippe JOUAN and Saïd NACIRI arxiv:1511.01737v1 [math.oc] 5 Nov 2015 January 23, 2018 Abstract This paper is concerned with the convergence rate of the

More information

We provide two sections from the book (in preparation) Intelligent and Autonomous Road Vehicles, by Ozguner, Acarman and Redmill.

We provide two sections from the book (in preparation) Intelligent and Autonomous Road Vehicles, by Ozguner, Acarman and Redmill. We provide two sections from the book (in preparation) Intelligent and Autonomous Road Vehicles, by Ozguner, Acarman and Redmill. 2.3.2. Steering control using point mass model: Open loop commands We consider

More information

Hilbert modules, TRO s and C*-correspondences

Hilbert modules, TRO s and C*-correspondences Hilbert modules, TRO s and C*-correspondences (rough notes by A.K.) 1 Hilbert modules and TRO s 1.1 Reminders Recall 1 the definition of a Hilbert module Definition 1 Let A be a C*-algebra. An Hilbert

More information

Symplectic Geometry Through Polytopes

Symplectic Geometry Through Polytopes Symplectic Geometry Through Polytopes Colby Kelln Mentor: Daniel Burns August 27, 2018 Abstract We begin by exploring basic notions in symplectic geometry, leading up to a discussion of moment maps. These

More information

Lecture 15: Quadratic approximation and the second variation formula

Lecture 15: Quadratic approximation and the second variation formula Lecture 15: Quadratic approximation and the second variation formula Symmetric ilinear forms and inner products (15.1) The associated self-adjoint operator. Let V e a finite dimensional real vector space

More information

The Geometry of Euler s equation. Introduction

The Geometry of Euler s equation. Introduction The Geometry of Euler s equation Introduction Part 1 Mechanical systems with constraints, symmetries flexible joint fixed length In principle can be dealt with by applying F=ma, but this can become complicated

More information

Partial Fractions. Combining fractions over a common denominator is a familiar operation from algebra: 2 x 3 + 3

Partial Fractions. Combining fractions over a common denominator is a familiar operation from algebra: 2 x 3 + 3 Partial Fractions Combining fractions over a common denominator is a familiar operation from algebra: x 3 + 3 x + x + 3x 7 () x 3 3x + x 3 From the standpoint of integration, the left side of Equation

More information

1. Introduction. 2. Outlines

1. Introduction. 2. Outlines 1. Introduction Graphs are beneficial because they summarize and display information in a manner that is easy for most people to comprehend. Graphs are used in many academic disciplines, including math,

More information

MTH 505: Number Theory Spring 2017

MTH 505: Number Theory Spring 2017 MTH 505: Number Theory Spring 017 Homework 4 Drew Armstrong 4.1. (Squares Mod 4). We say that an element ras n P Z{nZ is square if there exists an element rxs n P Z{nZ such that ras n prxs n q rx s n.

More information

STABILITY OF PLANAR NONLINEAR SWITCHED SYSTEMS

STABILITY OF PLANAR NONLINEAR SWITCHED SYSTEMS LABORATOIRE INORMATIQUE, SINAUX ET SYSTÈMES DE SOPHIA ANTIPOLIS UMR 6070 STABILITY O PLANAR NONLINEAR SWITCHED SYSTEMS Ugo Boscain, régoire Charlot Projet TOpModel Rapport de recherche ISRN I3S/RR 2004-07

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