Binary signals: a note on the prime period of a point

Size: px
Start display at page:

Download "Binary signals: a note on the prime period of a point"

Transcription

1 Binary signals: a note on the prime period of a point Serban E. Vlad Oradea City Hall Abstract The nice x : R! f0; 1g n functions from the asynchronous systems theory are called signals. The periodicity of a point of the orbit of the signal x is de ned and we give a note on the existence of the prime period. Keywords and phrases: binary signal, period, prime period. MSC (2008): 94A12 The asynchronous systems are the models of the digital electrical circuits and the nice functions representing their inputs and states are called signals. Such systems are generated by Boolean functions that iterate like the dynamical systems, but the iterations happen on some coordinates only, not on all the coordinates (unlike the dynamical systems). In order to study their periodicity, we need to study the periodicity of the (values of the) signals rst. Our present aim is to de ne and to characterize the periodicity and the prime period of a point of the orbit of a signal. De nition 1 The set B = f0; 1g is a eld relative to 0 0 ; 0 0 ; the modulo 2 sum and the product: A linear space structure is induced on B n ; n 1: Notation 2 A : R! B is the notation of the characteristic function of the set A R : 8t 2 R; 1; if t 2 A; A (t) = 0; otherwise : De nition 3 The continuous time signals are the functions x : R! B n of the form 8t 2 R; x(t) = ( 1;t0 )(t) x(t 0 ) [t0 ;t 1 )(t) ::: x(t k ) [tk ;t k+1 )(t) ::: (1) 1

2 where 2 B n and t k 2 R; k 2 N is strictly increasing and unbounded from above: Their set is denoted by S (n) : is usually denoted by x( 1+ 0) and is called the initial value of x. De nition 4 The left limit x(t the function 8t 2 R; 0) of x(t) from (1) is by de nition x(t 0) = ( 1;t0 ](t)x(t 0 ) (t0 ;t 1 ](t):::x(t k ) (tk ;t k+1 ](t)::: (2) Remark 5 The de nition of x(t 0) does not depend on the choice of (t k ) that is not unique in (1); for any t 0 2 R; the existence of x(t 0 0) is used in applications under the form 9" > 0; 8 2 (t 0 "; t 0 ); x() = x(t 0 0): De nition 6 The set Or(x) = fx(t)jt 2 Rg is called the orbit of x. Notation 7 For x 2 S (n) and 2 Or(x); we denote T x = ftjt 2 R; x(t) = g: (3) De nition 8 The point 2 Or(x) is called a periodic point of x 2 S (n) or of Or(x) if T > 0; t 0 2 R exist such that ( 1; t 0 ] T x x( 1+0); (4) 8t 2 T x \ [t 0 ; 1); ft + zt jz 2 Zg \ [t 0 ; 1) T x : (5) In this case T is called the period of and the least T like above is called the prime period of. Theorem 9 Let x 2 S (n) ; = x( t 0 ; t 1 2 R having the property that 1 + 0); T > 0 and the points t 0 < t 1 < t 0 + T; (6) ( 1; t 0 )[[t 1 ; t 0 +T )[[t 1 +T; t 0 +2T )[[t 1 +2T; t 0 +3T )[::: = T x (7) hold: a) For any t 0 2 [t 1 T; t 0 ); the properties (4), (5) are ful lled and for any t 0 =2 [t 1 T; t 0 ); at least one of the properties (4), (5) is false. b) For any T 0 > 0; t 00 2 R such that ( 1; t 00 ] T x x( 1+0); (8) 8t 2 T x \ [t 00 ; 1); ft + zt 0 jz 2 Zg \ [t 00 ; 1) T x ; (9) we have T 0 T and t 00 2 [t 1 T 0 ; t 0 ): 2

3 Proof. a) Let t 0 2 [t 1 T; t 0 ): From we infer the truth of (4). Furthermore, we have ( 1; t 0 ] ( 1; t 0 ) T x ; T x \[t 0 ; 1) = [t 0 ; t 0 )[[t 1 ; t 0 +T )[[t 1 +T; t 0 +2T )[[t 1 +2T; t 0 +3T )[::: and we take an arbitrary t 2 T x \ [t 0 ; 1): If t 2 [t 0 ; t 0 ); then ft + zt jz 2 Zg \ [t 0 ; 1) = ft; t + T; t + 2T; :::g [t 0 ; t 0 ) [ [t 0 + T; t 0 + T ) [ [t 0 + 2T; t 0 + 2T ) [ ::: [t 0 ; t 0 ) [ [t 1 ; t 0 + T ) [ [t 1 + T; t 0 + 2T ) [ ::: T x : If 9k 1 0; t 2 [t 1 + k 1 T; t 0 + (k 1 + 1)T ); then there are two possibilities: Case t 2 [t 0 + (k 1 + 1)T; t 0 + (k 1 + 1)T ); when ft+zt jz 2 Zg\[t 0 ; 1) = ft+( k 1 1)T; t+( k 1 )T; t+( k 1 +1)T; :::g [t 0 ; t 0 ) [ [t 0 + T; t 0 + T ) [ [t 0 + 2T; t 0 + 2T ) [ ::: [t 0 ; t 0 ) [ [t 1 ; t 0 + T ) [ [t 1 + T; t 0 + 2T ) [ ::: T x ; Case t 2 [t 1 + k 1 T; t 0 + (k 1 + 1)T ); when ft+zt jz 2 Zg\[t 0 ; 1) = ft+( k 1 )T; t+( k 1 +1)T; t+( k 1 +2)T; :::g [t 1 ; t 0 + T ) [ [t 1 + T; t 0 + 2T ) [ [t 1 + 2T; t 0 + 3T ) [ ::: [t 1 ; t 0 + T ) [ [t 1 + T; t 0 + 2T ) [ [t 1 + 2T; t 0 + 3T ) [ ::: T x : We suppose now that t 0 =2 [t 1 T; t 0 ): If t 0 < t 1 T; we notice that maxft 0 ; t 0 T g < t 1 T and that for any t 2 [maxft 0 ; t 0 T g; t 1 T ); we have t 2 T x \ [t 0 ; 1) but t + T 2 ft + zt jz 2 Zg \ [t 0 ; 1) \ [t 0 ; t 1 ); thus t + T =2 T x and (5) is false. On the other hand if t 0 t 0 ; then x(t 0 ) 6= implies t 0 =2 T x and consequently (4) is false. b) The fact that t 00 2 [t 1 T 0 ; t 0 ) is proved similarly with the statement t 0 2 [t 1 T; t 0 ) from a): t 00 t 0 is in contradiction with (8) and t 00 < t 1 T 0 is in contradiction with (9). We suppose now against all reason that (8), (9) are true and T 0 < T: Let us note in the beginning that maxft 1 ; t 0 + T T 0 g < minft 0 + T; t 1 + T T 0 g 3

4 is true, since all of t 1 < t 0 + T; t 1 < t 1 + T T 0 ; t 0 + T T 0 < t 0 + T; t 0 + T T 0 < t 1 + T T 0 hold. We infer that any t 2 [maxft 1 ; t 0 + T T 0 g; minft 0 + T; t 1 + T T 0 g) ful lls t 2 [t 1 ; t 0 + T ) T x \ [t 00 ; 1) and t 0 +T maxft 1 +T 0 ; t 0 +T g t+t 0 < minft 0 +T +T 0 ; t 1 +T g t 1 +T in other words t+t 0 2 ft+zt 0 jz 2 Zg\[t 00 ; 1); but t+t 0 2 [t 0 +T; t 1 +T ); thus t + T 0 =2 T x ; contradiction with (9). We conclude that T 0 T: Lemma 10 We suppose that the point 2 Or(x) is periodic: T > 0; t 0 2 R exist such that (4), (5) hold. If for t 1 < t 2 we have [t 1 ; t 2 ) T x \ [t 0 ; 1); then 8k 1; [t 1 + kt; t 2 + kt ) T x : Proof. Let k 1 and t 2 [t 1 + kt; t 2 + kt ) be arbitrary. As t kt 2 [t 1 ; t 2 ) and from the hypothesis t kt 2 T x \ [t 0 ; 1); we have from (5) that t 2 ft kt + zt jz 2 Zg \ [t 0 ; 1) T x : Theorem 11 We ask that x is not constant and let the point = x( 1 + 0) be given, as well as T > 0; t 0 2 R such that (4), (5) hold. We de ne t 0 ; t 1 2 R by the requests 8t < t 0 ; x(t) = ; (10) x(t 0 ) 6= ; (11) t 1 < t 0 + T; (12) 8t 2 [t 1 ; t 0 + T ); x(t) = x(t 0 + T 0); (13) Then the following statements are true: x(t 1 0) 6= x(t 1 ): (14) t 1 T t 0 < t 0 < t 1 ; (15) ( 1; t 0 )[[t 1 ; t 0 +T )[[t 1 +T; t 0 +2T )[[t 1 +2T; t 0 +3T )[::: T x : (16) Proof. The fact that x is not constant assures the existence of t 0 as de ned by (10), (11). On the other hand t 1 as de ned by (12), (13), (14) exists itself, since if, against all reason, we would have 8t < t 0 + T; x(t) = x(t 0 + T 0); (17) then (10), (11), (17) would be contradictory. By the comparison between (10), (11), (13), (14) we infer t 0 t 1 : From (4), (10), (11) we get t 0 < t 0 : 4

5 Case t 0 2 [t 1 T; t 0 ) In this situation t 0 + T 2 [t 1 ; t 0 + T ); (18) (4) = x(t 0 ) (5) = x(t 0 + T ) (13);(18) = x(t 1 ) (19) and from (10), (11), t 0 t 1 ; (19) we have that t 0 < t 1 : (15) is true. Let us note that (13), t 0 < t 1 ; (19) imply [t 1 ; t 0 + T ) T x \ [t 0 ; 1) and, from Lemma 10 together with (10), (11) we obtain the truth of (16). Case t 0 < t 1 T As t 1 T < t 0 we can write (10) = x(t 1 T ) (5) = x(t 1 ) (20) and the property of existence of the left limit of x in t 1 shows the existence of " > 0 with 8t 2 (t 1 "; t 1 ); x(t) = x(t 1 0): (21) We take " 0 2 (0; minft 1 T t 0 ; "g); thus for any t 2 (t 1 T " 0 ; t 1 T ) we have t + T 2 (t 1 " 0 ; t 1 ) (t 1 "; t 1 ); (22) and since we conclude t > t 1 T " 0 > t 0 ; (23) t < t 1 T < t 0 (24) (10);(24) = x(t) (5);(23) = x(t + T ) (21);(22) = x(t 1 0): (25) The statements (14), (20), (25) are contradictory, thus t 0 < t 1 impossible. T is Example 12 We take x 2 S (1) ; x(t) = ( 1;0) (t) [1;2) [3;5) [6;7) [8;10) [11;12) ::: In this example = 1; t 0 = 0; t 1 = 3; T = 5 is prime period and t 0 2 [ 2; 0): We note that T may be prime period without equality at (16) but if we have equality at (16) then, from Theorem 9, T is prime period. Remark 13 Theorems 9 and 11 refer to the case when the periodic point coincides with x( 1 + 0): The situation when 6= x( 1 + 0) is not di erent in principle. 5

6 References [1] D. V. Anosov, V. I. Arnold (Eds.) Dynamical systems I., Springer- Verlag, (Encyclopedia of Mathematical Sciences, Vol. 1) (1988). [2] D. K. Arrowsmith, C. M. Place, An introduction to dynamical systems, Cambridge University Press, (1990). [3] Michael Brin, Garrett Stuck, Introduction to dynamical systems, Cambridge University Press, (2002). [4] Robert L. Devaney, A rst course in chaotic dynamical systems. Theory and experiment, Perseus Books Publishing, (1992). [5] Robert W. Easton, Geometric methods in discrete dynamical systems, Oxford University Press, (1998). [6] Boris Hasselblatt, Anatole Katok, Handbook of dynamical systems, Volume 1, Elsevier, (2005). [7] Richard A. Holmgren, A rst course in discrete dynamical systems, Springer-Verlag, (1994). [8] Jurgen Jost, Dynamical systems. Examples of complex behaviour, Springer-Verlag, (2005). Serban Vlad - Department of Computers Oradea City Hall Piata Unirii, Nr. 1, , Oradea, Romania serban_e_vlad@yahoo.com 6

The intersection and the union of the asynchronous systems

The intersection and the union of the asynchronous systems BULETINUL ACADEMIEI DE ŞTIINŢE A REPUBLICII MOLDOVA. MATEMATICA Number 3(55), 2007, Pages 3 22 ISSN 1024 7696 The intersection and the union of the asynchronous systems Serban E. Vlad Abstract. The asynchronous

More information

The equations of the ideal latches

The equations of the ideal latches The equations of the ideal latches arxiv:0804.0879v1 [cs.gl] 5 Apr 2008 Serban E. Vlad The computers department, Oradea City Hall, Oradea, Romania web: www.geocities.com/serban e vlad Abstract. The latches

More information

Julia Sets and the Mandelbrot Set

Julia Sets and the Mandelbrot Set December 14, 2007 : Dynamical System s Example Dynamical System In general, a dynamical system is a rule or function that describes a point s position in space over time, where time can be modeled as a

More information

Revisiting independence and stochastic dominance for compound lotteries

Revisiting independence and stochastic dominance for compound lotteries Revisiting independence and stochastic dominance for compound lotteries Alexander Zimper Working Paper Number 97 Department of Economics and Econometrics, University of Johannesburg Revisiting independence

More information

Lecture 2. Logic Compound Statements Conditional Statements Valid & Invalid Arguments Digital Logic Circuits. Reading (Epp s textbook)

Lecture 2. Logic Compound Statements Conditional Statements Valid & Invalid Arguments Digital Logic Circuits. Reading (Epp s textbook) Lecture 2 Logic Compound Statements Conditional Statements Valid & Invalid Arguments Digital Logic Circuits Reading (Epp s textbook) 2.1-2.4 1 Logic Logic is a system based on statements. A statement (or

More information

NEW SIGNS OF ISOSCELES TRIANGLES

NEW SIGNS OF ISOSCELES TRIANGLES INTERNATIONAL JOURNAL OF GEOMETRY Vol. 2 (2013), No. 2, 56-67 NEW SIGNS OF ISOSCELES TRIANGLES MAKSIM VASKOUSKI and KANSTANTSIN KASTSEVICH Abstract. In this paper we prove new signs of isosceles triangles

More information

Congruences. September 16, 2006

Congruences. September 16, 2006 Congruences September 16, 2006 1 Congruences If m is a given positive integer, then we can de ne an equivalence relation on Z (the set of all integers) by requiring that an integer a is related to an integer

More information

1 Which sets have volume 0?

1 Which sets have volume 0? Math 540 Spring 0 Notes #0 More on integration Which sets have volume 0? The theorem at the end of the last section makes this an important question. (Measure theory would supersede it, however.) Theorem

More information

The following techniques for methods of proofs are discussed in our text: - Vacuous proof - Trivial proof

The following techniques for methods of proofs are discussed in our text: - Vacuous proof - Trivial proof Ch. 1.6 Introduction to Proofs The following techniques for methods of proofs are discussed in our text - Vacuous proof - Trivial proof - Direct proof - Indirect proof (our book calls this by contraposition)

More information

Rings of Residues. S. F. Ellermeyer. September 18, ; [1] m

Rings of Residues. S. F. Ellermeyer. September 18, ; [1] m Rings of Residues S F Ellermeyer September 18, 2006 If m is a positive integer, then we obtain the partition C = f[0] m ; [1] m ; : : : ; [m 1] m g of Z into m congruence classes (This is discussed in

More information

Topic 1: Propositional logic

Topic 1: Propositional logic Topic 1: Propositional logic Guy McCusker 1 1 University of Bath Logic! This lecture is about the simplest kind of mathematical logic: propositional calculus. We discuss propositions, which are statements

More information

1 Selected Homework Solutions

1 Selected Homework Solutions Selected Homework Solutions Mathematics 4600 A. Bathi Kasturiarachi September 2006. Selected Solutions to HW # HW #: (.) 5, 7, 8, 0; (.2):, 2 ; (.4): ; (.5): 3 (.): #0 For each of the following subsets

More information

Math 1270 Honors Fall, 2008 Background Material on Uniform Convergence

Math 1270 Honors Fall, 2008 Background Material on Uniform Convergence Math 27 Honors Fall, 28 Background Material on Uniform Convergence Uniform convergence is discussed in Bartle and Sherbert s book Introduction to Real Analysis, which was the tet last year for 42 and 45.

More information

Chaos in the Dynamics of the Family of Mappings f c (x) = x 2 x + c

Chaos in the Dynamics of the Family of Mappings f c (x) = x 2 x + c IOSR Journal of Mathematics (IOSR-JM) e-issn: 78-578, p-issn: 319-765X. Volume 10, Issue 4 Ver. IV (Jul-Aug. 014), PP 108-116 Chaos in the Dynamics of the Family of Mappings f c (x) = x x + c Mr. Kulkarni

More information

Propositional Logic. What is discrete math? Tautology, equivalence, and inference. Applications

Propositional Logic. What is discrete math? Tautology, equivalence, and inference. Applications What is discrete math? Propositional Logic The real numbers are continuous in the senses that: between any two real numbers there is a real number The integers do not share this property. In this sense

More information

A prospect proof of the Goldbach s conjecture

A prospect proof of the Goldbach s conjecture A prospect proof of the Goldbach s conjecture Douadi MIHOUBI LMPA, the University of M sila, 28000 M sila, Algeria mihoubi_douadi@yahoofr March 21, 2015 Abstract Based on, the well-ordering (N;

More information

1 The Well Ordering Principle, Induction, and Equivalence Relations

1 The Well Ordering Principle, Induction, and Equivalence Relations 1 The Well Ordering Principle, Induction, and Equivalence Relations The set of natural numbers is the set N = f1; 2; 3; : : :g. (Some authors also include the number 0 in the natural numbers, but number

More information

Proofs for Stress and Coping - An Economic Approach Klaus Wälde 56 October 2017

Proofs for Stress and Coping - An Economic Approach Klaus Wälde 56 October 2017 A Appendix Proofs for Stress and Coping - An Economic Approach Klaus älde 56 October 2017 A.1 Solution of the maximization problem A.1.1 The Bellman equation e start from the general speci cation of a

More information

1 Continuation of solutions

1 Continuation of solutions Math 175 Honors ODE I Spring 13 Notes 4 1 Continuation of solutions Theorem 1 in the previous notes states that a solution to y = f (t; y) (1) y () = () exists on a closed interval [ h; h] ; under certain

More information

Introduction to Proofs

Introduction to Proofs Introduction to Proofs Many times in economics we will need to prove theorems to show that our theories can be supported by speci c assumptions. While economics is an observational science, we use mathematics

More information

A GEOMETRIC MODEL OF THE FIELD OF COMPLEX NUMBERS

A GEOMETRIC MODEL OF THE FIELD OF COMPLEX NUMBERS INTERNATIONAL JOURNAL OF GEOMETRY Vol. 1 (2012), No. 2, 65-78 A GEOMETRIC MODEL OF THE FIELD OF COMPLEX NUMBERS CONSTANTIN LUPU Abstract. In this paper we will construct a geometric model of the eld of

More information

Assignment 3. Section 10.3: 6, 7ab, 8, 9, : 2, 3

Assignment 3. Section 10.3: 6, 7ab, 8, 9, : 2, 3 Andrew van Herick Math 710 Dr. Alex Schuster Sept. 21, 2005 Assignment 3 Section 10.3: 6, 7ab, 8, 9, 10 10.4: 2, 3 10.3.6. Prove (3) : Let E X: Then x =2 E if and only if B r (x) \ E c 6= ; for all all

More information

f(s)ds, i.e. to write down the general solution in

f(s)ds, i.e. to write down the general solution in 1. First order ODEs. Simplest examples. Existence and uniqueness theorem Example 1.1. Consider the equation (1.1) x (t) = 1 This is an equation because there is an unknown: the function x(t). This is a

More information

Department of Computer Science University at Albany, State University of New York Solutions to Sample Discrete Mathematics Examination II (Fall 2007)

Department of Computer Science University at Albany, State University of New York Solutions to Sample Discrete Mathematics Examination II (Fall 2007) Department of Computer Science University at Albany, State University of New York Solutions to Sample Discrete Mathematics Examination II (Fall 2007) Problem 1: Specify two different predicates P (x) and

More information

MITSCH S ORDER AND INCLUSION FOR BINARY RELATIONS

MITSCH S ORDER AND INCLUSION FOR BINARY RELATIONS MITSCH S ORDER AND INCLUSION FOR BINARY RELATIONS D. G. FITZGERALD Abstract. Mitsch s natural partial order on the semigroup of binary relations has a complex relationship with the compatible partial order

More information

1 Introduction FUZZY VERSIONS OF SOME ARROW 0 S TYPE RESULTS 1. Louis Aimé Fono a,2, Véronique Kommogne b and Nicolas Gabriel Andjiga c

1 Introduction FUZZY VERSIONS OF SOME ARROW 0 S TYPE RESULTS 1. Louis Aimé Fono a,2, Véronique Kommogne b and Nicolas Gabriel Andjiga c FUZZY VERSIONS OF SOME ARROW 0 S TYPE RESULTS 1 Louis Aimé Fono a,2, Véronique Kommogne b and Nicolas Gabriel Andjiga c a;b Département de Mathématiques et Informatique, Université de Douala, Faculté des

More information

A simple computable criteria for the existence of horseshoes

A simple computable criteria for the existence of horseshoes A simple computable criteria for the existence of horseshoes Salvador Addas-Zanata Instituto de Matemática e Estatística Universidade de São Paulo Rua do Matão 1010, Cidade Universitária, 05508-090 São

More information

We want to show P (n) is true for all integers

We want to show P (n) is true for all integers Generalized Induction Proof: Let P (n) be the proposition 1 + 2 + 2 2 + + 2 n = 2 n+1 1. We want to show P (n) is true for all integers n 0. Generalized Induction Example: Use generalized induction to

More information

GALOIS THEORY I (Supplement to Chapter 4)

GALOIS THEORY I (Supplement to Chapter 4) GALOIS THEORY I (Supplement to Chapter 4) 1 Automorphisms of Fields Lemma 1 Let F be a eld. The set of automorphisms of F; Aut (F ) ; forms a group (under composition of functions). De nition 2 Let F be

More information

Advanced Microeconomics

Advanced Microeconomics Advanced Microeconomics Ordinal preference theory Harald Wiese University of Leipzig Harald Wiese (University of Leipzig) Advanced Microeconomics 1 / 68 Part A. Basic decision and preference theory 1 Decisions

More information

H.6 Homological Characterization of Rings: The Commutative Case

H.6 Homological Characterization of Rings: The Commutative Case The Concise Handbook of Algebra, Kluwer Publ. (2002), 505-508 H.6 Homological Characterization of Rings: The Commutative Case Sarah Glaz glaz@uconnvm.uconn.edu A large number of niteness properties of

More information

Lecture 1- The constrained optimization problem

Lecture 1- The constrained optimization problem Lecture 1- The constrained optimization problem The role of optimization in economic theory is important because we assume that individuals are rational. Why constrained optimization? the problem of scarcity.

More information

Turbulence and Devaney s Chaos in Interval

Turbulence and Devaney s Chaos in Interval Global Journal of Pure and Applied Mathematics. ISSN 0973-1768 Volume 13, Number 2 (2017), pp. 713-717 Research India Publications http://www.ripublication.com Turbulence and Devaney s Chaos in Interval

More information

ON STATISTICAL INFERENCE UNDER ASYMMETRIC LOSS. Abstract. We introduce a wide class of asymmetric loss functions and show how to obtain

ON STATISTICAL INFERENCE UNDER ASYMMETRIC LOSS. Abstract. We introduce a wide class of asymmetric loss functions and show how to obtain ON STATISTICAL INFERENCE UNDER ASYMMETRIC LOSS FUNCTIONS Michael Baron Received: Abstract We introduce a wide class of asymmetric loss functions and show how to obtain asymmetric-type optimal decision

More information

Nonlinear Dynamics. Moreno Marzolla Dip. di Informatica Scienza e Ingegneria (DISI) Università di Bologna.

Nonlinear Dynamics. Moreno Marzolla Dip. di Informatica Scienza e Ingegneria (DISI) Università di Bologna. Nonlinear Dynamics Moreno Marzolla Dip. di Informatica Scienza e Ingegneria (DISI) Università di Bologna http://www.moreno.marzolla.name/ 2 Introduction: Dynamics of Simple Maps 3 Dynamical systems A dynamical

More information

ON POSITIVE, LINEAR AND QUADRATIC BOOLEAN FUNCTIONS

ON POSITIVE, LINEAR AND QUADRATIC BOOLEAN FUNCTIONS Kragujevac Journal of Mathematics Volume 36 Number 2 (2012), Pages 177 187. ON POSITIVE, LINEAR AND QUADRATIC BOOLEAN FUNCTIONS SERGIU RUDEANU Abstract. In [1], [2] it was proved that a function f : {0,

More information

Mathematical Billiards

Mathematical Billiards Mathematical Billiards U A Rozikov This Letter presents some historical notes and some very elementary notions of the mathematical theory of billiards. We give the most interesting and popular applications

More information

University of Ottawa CSI 2101 Midterm Test Instructor: Lucia Moura. February 9, :30 pm Duration: 1:50 hs. Closed book, no calculators

University of Ottawa CSI 2101 Midterm Test Instructor: Lucia Moura. February 9, :30 pm Duration: 1:50 hs. Closed book, no calculators University of Ottawa CSI 2101 Midterm Test Instructor: Lucia Moura February 9, 2010 11:30 pm Duration: 1:50 hs Closed book, no calculators Last name: First name: Student number: There are 5 questions and

More information

Notes for Math 290 using Introduction to Mathematical Proofs by Charles E. Roberts, Jr.

Notes for Math 290 using Introduction to Mathematical Proofs by Charles E. Roberts, Jr. Notes for Math 290 using Introduction to Mathematical Proofs by Charles E. Roberts, Jr. Chapter : Logic Topics:. Statements, Negation, and Compound Statements.2 Truth Tables and Logical Equivalences.3

More information

Maximum exponent of boolean circulant matrices with constant number of nonzero entries in its generating vector

Maximum exponent of boolean circulant matrices with constant number of nonzero entries in its generating vector Maximum exponent of boolean circulant matrices with constant number of nonzero entries in its generating vector MI Bueno, Department of Mathematics and The College of Creative Studies University of California,

More information

Lecture 11: Eigenvalues and Eigenvectors

Lecture 11: Eigenvalues and Eigenvectors Lecture : Eigenvalues and Eigenvectors De nition.. Let A be a square matrix (or linear transformation). A number λ is called an eigenvalue of A if there exists a non-zero vector u such that A u λ u. ()

More information

MAT335H1F Lec0101 Burbulla

MAT335H1F Lec0101 Burbulla Fall 2012 4.1 Graphical Analysis 4.2 Orbit Analysis Functional Iteration If F : R R, then we shall write F 2 (x) = (F F )(x) = F (F (x)) F 3 (x) = (F F 2 )(x) = F (F 2 (x)) = F (F (F (x))) F n (x) = (F

More information

Rings, Integral Domains, and Fields

Rings, Integral Domains, and Fields Rings, Integral Domains, and Fields S. F. Ellermeyer September 26, 2006 Suppose that A is a set of objects endowed with two binary operations called addition (and denoted by + ) and multiplication (denoted

More information

Introductory Econometrics. Review of statistics (Part II: Inference)

Introductory Econometrics. Review of statistics (Part II: Inference) Introductory Econometrics Review of statistics (Part II: Inference) Jun Ma School of Economics Renmin University of China October 1, 2018 1/16 Null and alternative hypotheses Usually, we have two competing

More information

ON QUADRATIC ORBITAL NETWORKS

ON QUADRATIC ORBITAL NETWORKS ON QUADRATIC ORBITAL NETWORKS OLIVER KNILL Abstract. These are some informal remarks on quadratic orbital networks over finite fields Z p. We discuss connectivity, Euler characteristic, number of cliques,

More information

2.2 Some Consequences of the Completeness Axiom

2.2 Some Consequences of the Completeness Axiom 60 CHAPTER 2. IMPORTANT PROPERTIES OF R 2.2 Some Consequences of the Completeness Axiom In this section, we use the fact that R is complete to establish some important results. First, we will prove that

More information

8 Periodic Linear Di erential Equations - Floquet Theory

8 Periodic Linear Di erential Equations - Floquet Theory 8 Periodic Linear Di erential Equations - Floquet Theory The general theory of time varying linear di erential equations _x(t) = A(t)x(t) is still amazingly incomplete. Only for certain classes of functions

More information

UNIVERSITÀ DEGLI STUDI DI SIENA QUADERNI DEL DIPARTIMENTO DI ECONOMIA POLITICA E STATISTICA. Stefano Vannucci. Widest Choice

UNIVERSITÀ DEGLI STUDI DI SIENA QUADERNI DEL DIPARTIMENTO DI ECONOMIA POLITICA E STATISTICA. Stefano Vannucci. Widest Choice UNIVERSITÀ DEGLI STUDI DI SIENA QUADERNI DEL DIPARTIMENTO DI ECONOMIA POLITICA E STATISTICA Stefano Vannucci Widest Choice n. 629 Dicembre 2011 Abstract - A choice function is (weakly) width-maximizing

More information

12. Lines in R 3. through P 0 and is parallel to v is written parametrically as a function of t: Using vector notation, the same line is written

12. Lines in R 3. through P 0 and is parallel to v is written parametrically as a function of t: Using vector notation, the same line is written 12. Lines in R 3 Given a point P 0 = (x 0, y 0, z 0 ) and a direction vector v 1 = a, b, c in R 3, a line L that passes through P 0 and is parallel to v is written parametrically as a function of t: x(t)

More information

Discrete Mathematics

Discrete Mathematics Discrete Mathematics Chih-Wei Yi Dept. of Computer Science National Chiao Tung University March 9, 2009 Overview of ( 1.5-1.7, ~2 hours) Methods of mathematical argument (i.e., proof methods) can be formalized

More information

CS1800 Discrete Structures Final Version A

CS1800 Discrete Structures Final Version A CS1800 Discrete Structures Fall 2017 Profs. Aslam, Gold, & Pavlu December 11, 2017 CS1800 Discrete Structures Final Version A Instructions: 1. The exam is closed book and closed notes. You may not use

More information

Warm-Up Problem. Please fill out your Teaching Evaluation Survey! Please comment on the warm-up problems if you haven t filled in your survey yet.

Warm-Up Problem. Please fill out your Teaching Evaluation Survey! Please comment on the warm-up problems if you haven t filled in your survey yet. Warm-Up Problem Please fill out your Teaching Evaluation Survey! Please comment on the warm-up problems if you haven t filled in your survey yet Warm up: Given a program that accepts input, is there an

More information

Groups that Distribute over Stars

Groups that Distribute over Stars Groups that Distribute over Stars Arthur Holshouser 3600 Bullard St Charlotte, NC, USA, 808 Harold Reiter Department of Mathematics UNC Charlotte Charlotte, NC 83 hbreiter@emailunccedu 1 Abstract Suppose

More information

Recognising nilpotent groups

Recognising nilpotent groups Recognising nilpotent groups A. R. Camina and R. D. Camina School of Mathematics, University of East Anglia, Norwich, NR4 7TJ, UK; a.camina@uea.ac.uk Fitzwilliam College, Cambridge, CB3 0DG, UK; R.D.Camina@dpmms.cam.ac.uk

More information

Menu. Let s logically analyze a simple paragraph:

Menu. Let s logically analyze a simple paragraph: Menu Introduction to Design Look into my... 1 Introduction to Design Let s logically analyze a simple paragraph: When I forget my umbrella and it rains, I get wet. I also get wet when I stick my foot in

More information

Positive Political Theory II David Austen-Smith & Je rey S. Banks

Positive Political Theory II David Austen-Smith & Je rey S. Banks Positive Political Theory II David Austen-Smith & Je rey S. Banks Egregious Errata Positive Political Theory II (University of Michigan Press, 2005) regrettably contains a variety of obscurities and errors,

More information

Boundedness and asymptotic stability for delayed equations of logistic type

Boundedness and asymptotic stability for delayed equations of logistic type Proceedings of the Royal Society of Edinburgh, 133A, 1057{1073, 2003 Boundedness and asymptotic stability for delayed equations of logistic type Teresa Faria Departamento de Matem atica, Faculdade de Ci^encias/CMAF,

More information

WHAT IS A CHAOTIC ATTRACTOR?

WHAT IS A CHAOTIC ATTRACTOR? WHAT IS A CHAOTIC ATTRACTOR? CLARK ROBINSON Abstract. Devaney gave a mathematical definition of the term chaos, which had earlier been introduced by Yorke. We discuss issues involved in choosing the properties

More information

Cullen Numbers in Binary Recurrent Sequences

Cullen Numbers in Binary Recurrent Sequences Cullen Numbers in Binary Recurrent Sequences Florian Luca 1 and Pantelimon Stănică 2 1 IMATE-UNAM, Ap. Postal 61-3 (Xangari), CP 58 089 Morelia, Michoacán, Mexico; e-mail: fluca@matmor.unam.mx 2 Auburn

More information

Generators For Nonlinear Three Term Recurrences Involving The Greatest Integer Function

Generators For Nonlinear Three Term Recurrences Involving The Greatest Integer Function Applied Mathematics E-Notes, 11(2011), 73-81 c ISSN 1607-2510 Available free at mirror sites of http://www.math.nthu.edu.tw/amen/ Generators For Nonlinear Three Term Recurrences Involving The Greatest

More information

Latin Squares and Their Applications

Latin Squares and Their Applications Latin Squares and Their Applications Jason Tang Mentor: Wendy Baratta October 27, 2009 1 Introduction Despite Latin Squares being a relatively unknown aspect of mathematics, there are many interesting

More information

Propositional Logic. Spring Propositional Logic Spring / 32

Propositional Logic. Spring Propositional Logic Spring / 32 Propositional Logic Spring 2016 Propositional Logic Spring 2016 1 / 32 Introduction Learning Outcomes for this Presentation Learning Outcomes... At the conclusion of this session, we will Define the elements

More information

6.2 Important Theorems

6.2 Important Theorems 6.2. IMPORTANT THEOREMS 223 6.2 Important Theorems 6.2.1 Local Extrema and Fermat s Theorem Definition 6.2.1 (local extrema) Let f : I R with c I. 1. f has a local maximum at c if there is a neighborhood

More information

Discussion Paper Series

Discussion Paper Series INSTITUTO TECNOLÓGICO AUTÓNOMO DE MÉXICO CENTRO DE INVESTIGACIÓN ECONÓMICA Discussion Paper Series Size Corrected Power for Bootstrap Tests Manuel A. Domínguez and Ignacio N. Lobato Instituto Tecnológico

More information

September 14. Fall Software Foundations CIS 500

September 14. Fall Software Foundations CIS 500 CIS 500 Software Foundations Fall 2005 September 14 CIS 500, September 14 1 Announcements I will be away September 19-October 5. I will be reachable by email. Fastest response cis500@cis.upenn.edu No office

More information

AN OBSERVATION ABOUT VARIATIONS OF THE DIFFIE-HELLMAN ASSUMPTION

AN OBSERVATION ABOUT VARIATIONS OF THE DIFFIE-HELLMAN ASSUMPTION AN OBSERVATION ABOUT VARIATIONS OF THE DIFFIE-HELLMAN ASSUMPTION R. BHASKAR, K. CHANDRASEKARAN, S. LOKAM, P.L. MONTGOMERY, R. VENKATESAN, AND Y. YACOBI Abstract. We generalize the Strong Boneh-Boyen (SBB)

More information

Digit Reversal Without Apology

Digit Reversal Without Apology Digit Reversal Without Apology Lara Pudwell Rutgers University Piscataway, NJ 08854 lpudwell@math.rutgers.edu In A Mathematician s Apology [1] G. H. Hardy states, 8712 and 9801 are the only four-figure

More information

So in the abstract setting dene the following: f n converges to f with respect to I i every subsequence ff n : n 2 Ag has a subsequence B A such that

So in the abstract setting dene the following: f n converges to f with respect to I i every subsequence ff n : n 2 Ag has a subsequence B A such that Souslin's Hypothesis and Convergence in Category by Arnold W. Miller 1 Abstract: A sequence of functions f n : X! R from a Baire space X to the reals R is said to converge in category i every subsequence

More information

Mathematical Logic Propositional Logic - Tableaux*

Mathematical Logic Propositional Logic - Tableaux* Mathematical Logic Propositional Logic - Tableaux* Fausto Giunchiglia and Mattia Fumagalli University of Trento *Originally by Luciano Serafini and Chiara Ghidini Modified by Fausto Giunchiglia and Mattia

More information

Devaney s De nition of Chaos and other Forms

Devaney s De nition of Chaos and other Forms Faculty of Graduate Studies Program of Mathematics Devaney s De nition of Chaos and other Forms P repared By Bashir Abu Khalil Supervised By Prof. Mohammad Saleh M.Sc. Thesis Birzeit University Palestine

More information

SEQUENCES, MATHEMATICAL INDUCTION, AND RECURSION

SEQUENCES, MATHEMATICAL INDUCTION, AND RECURSION CHAPTER 5 SEQUENCES, MATHEMATICAL INDUCTION, AND RECURSION Copyright Cengage Learning. All rights reserved. SECTION 5.4 Strong Mathematical Induction and the Well-Ordering Principle for the Integers Copyright

More information

Inference and Proofs (1.6 & 1.7)

Inference and Proofs (1.6 & 1.7) EECS 203 Spring 2016 Lecture 4 Page 1 of 9 Introductory problem: Inference and Proofs (1.6 & 1.7) As is commonly the case in mathematics, it is often best to start with some definitions. An argument for

More information

A statement is a sentence that is definitely either true or false but not both.

A statement is a sentence that is definitely either true or false but not both. 5 Logic In this part of the course we consider logic. Logic is used in many places in computer science including digital circuit design, relational databases, automata theory and computability, and artificial

More information

Lecture 11. Andrei Antonenko. February 26, Last time we studied bases of vector spaces. Today we re going to give some examples of bases.

Lecture 11. Andrei Antonenko. February 26, Last time we studied bases of vector spaces. Today we re going to give some examples of bases. Lecture 11 Andrei Antonenko February 6, 003 1 Examples of bases Last time we studied bases of vector spaces. Today we re going to give some examples of bases. Example 1.1. Consider the vector space P the

More information

Introduction to Dynamical Systems Basic Concepts of Dynamics

Introduction to Dynamical Systems Basic Concepts of Dynamics Introduction to Dynamical Systems Basic Concepts of Dynamics A dynamical system: Has a notion of state, which contains all the information upon which the dynamical system acts. A simple set of deterministic

More information

Introduction to Information Theory

Introduction to Information Theory Introduction to Information Theory Impressive slide presentations Radu Trîmbiţaş UBB October 2012 Radu Trîmbiţaş (UBB) Introduction to Information Theory October 2012 1 / 19 Transmission of information

More information

Propositional Logic: Equivalence

Propositional Logic: Equivalence Propositional Logic: Equivalence Alice Gao Lecture 5 Based on work by J. Buss, L. Kari, A. Lubiw, B. Bonakdarpour, D. Maftuleac, C. Roberts, R. Trefler, and P. Van Beek 1/42 Outline Propositional Logic:

More information

Li- Yorke Chaos in Product Dynamical Systems

Li- Yorke Chaos in Product Dynamical Systems Advances in Dynamical Systems and Applications. ISSN 0973-5321, Volume 12, Number 1, (2017) pp. 81-88 Research India Publications http://www.ripublication.com Li- Yorke Chaos in Product Dynamical Systems

More information

A CONSTRUCTION OF ARITHMETIC PROGRESSION-FREE SEQUENCES AND ITS ANALYSIS

A CONSTRUCTION OF ARITHMETIC PROGRESSION-FREE SEQUENCES AND ITS ANALYSIS A CONSTRUCTION OF ARITHMETIC PROGRESSION-FREE SEQUENCES AND ITS ANALYSIS BRIAN L MILLER & CHRIS MONICO TEXAS TECH UNIVERSITY Abstract We describe a particular greedy construction of an arithmetic progression-free

More information

Intro to Economic analysis

Intro to Economic analysis Intro to Economic analysis Alberto Bisin - NYU 1 Rational Choice The central gure of economics theory is the individual decision-maker (DM). The typical example of a DM is the consumer. We shall assume

More information

Lecture 1: The arithmetic hierarchy

Lecture 1: The arithmetic hierarchy MODEL THEORY OF ARITHMETIC Lecture 1: The arithmetic hierarchy Tin Lok Wong 8 October, 2014 [These theorems] go a long way to explaining why recursion theory is relevant to the study of models of arithmetic.

More information

SOME THEORY AND PRACTICE OF STATISTICS by Howard G. Tucker CHAPTER 2. UNIVARIATE DISTRIBUTIONS

SOME THEORY AND PRACTICE OF STATISTICS by Howard G. Tucker CHAPTER 2. UNIVARIATE DISTRIBUTIONS SOME THEORY AND PRACTICE OF STATISTICS by Howard G. Tucker CHAPTER. UNIVARIATE DISTRIBUTIONS. Random Variables and Distribution Functions. This chapter deals with the notion of random variable, the distribution

More information

MA 8101 Stokastiske metoder i systemteori

MA 8101 Stokastiske metoder i systemteori MA 811 Stokastiske metoder i systemteori AUTUMN TRM 3 Suggested solution with some extra comments The exam had a list of useful formulae attached. This list has been added here as well. 1 Problem In this

More information

ONE DIMENSIONAL CHAOTIC DYNAMICAL SYSTEMS

ONE DIMENSIONAL CHAOTIC DYNAMICAL SYSTEMS Journal of Pure and Applied Mathematics: Advances and Applications Volume 0 Number 0 Pages 69-0 ONE DIMENSIONAL CHAOTIC DYNAMICAL SYSTEMS HENA RANI BISWAS Department of Mathematics University of Barisal

More information

Maximum Length Linear Feedback Shift Registers

Maximum Length Linear Feedback Shift Registers Maximum Length Linear Feedback Shift Registers (c) Peter Fischer Institute for Computer Engineering (ZITI) Heidelberg University, Germany email address: peterfischer@zitiuni-heidelbergde February 23, 2018

More information

ON SUMS AND PRODUCTS OF PERIODIC FUNCTIONS

ON SUMS AND PRODUCTS OF PERIODIC FUNCTIONS RESEARCH Real Analysis Exchange Vol. 34(2), 2008/2009, pp. 1 12 A. R. Mirotin, Department of Mathematics, Skoryna Gomel State University, Gomel, 246019, Belarus. email: amirotin@yandex.ru E. A. Mirotin,

More information

Ramsey Unsaturated and Saturated Graphs

Ramsey Unsaturated and Saturated Graphs Ramsey Unsaturated and Saturated Graphs P Balister J Lehel RH Schelp March 20, 2005 Abstract A graph is Ramsey unsaturated if there exists a proper supergraph of the same order with the same Ramsey number,

More information

Economics 241B Estimation with Instruments

Economics 241B Estimation with Instruments Economics 241B Estimation with Instruments Measurement Error Measurement error is de ned as the error resulting from the measurement of a variable. At some level, every variable is measured with error.

More information

Stochastic dominance with imprecise information

Stochastic dominance with imprecise information Stochastic dominance with imprecise information Ignacio Montes, Enrique Miranda, Susana Montes University of Oviedo, Dep. of Statistics and Operations Research. Abstract Stochastic dominance, which is

More information

Proof Terminology. Technique #1: Direct Proof. Learning objectives. Proof Techniques (Rosen, Sections ) Direct Proof:

Proof Terminology. Technique #1: Direct Proof. Learning objectives. Proof Techniques (Rosen, Sections ) Direct Proof: Proof Terminology Proof Techniques (Rosen, Sections 1.7 1.8) TOPICS Direct Proofs Proof by Contrapositive Proof by Contradiction Proof by Cases Theorem: statement that can be shown to be true Proof: a

More information

Ordered Value Restriction

Ordered Value Restriction Ordered Value Restriction Salvador Barberà Bernardo Moreno Univ. Autònoma de Barcelona and Univ. de Málaga and centra March 1, 2006 Abstract In this paper, we restrict the pro les of preferences to be

More information

MATH 215 Final. M4. For all a, b in Z, a b = b a.

MATH 215 Final. M4. For all a, b in Z, a b = b a. MATH 215 Final We will assume the existence of a set Z, whose elements are called integers, along with a well-defined binary operation + on Z (called addition), a second well-defined binary operation on

More information

Standard forms for writing numbers

Standard forms for writing numbers Standard forms for writing numbers In order to relate the abstract mathematical descriptions of familiar number systems to the everyday descriptions of numbers by decimal expansions and similar means,

More information

The main purpose of this chapter is to prove the rst and second fundamental theorem of asset pricing in a so called nite market model.

The main purpose of this chapter is to prove the rst and second fundamental theorem of asset pricing in a so called nite market model. 1 2. Option pricing in a nite market model (February 14, 2012) 1 Introduction The main purpose of this chapter is to prove the rst and second fundamental theorem of asset pricing in a so called nite market

More information

ARITHMETIC ON BLOCKS. Abigail Hoit Department of Mathematics, Elmhurst College, Elmhurst, IL

ARITHMETIC ON BLOCKS. Abigail Hoit Department of Mathematics, Elmhurst College, Elmhurst, IL ARITHMETIC ON BLOCKS Abigail Hoit Department of Mathematics, Elmhurst College, Elmhurst, IL 60126 abigailh@elmhurst.edu Received: 11/29/02, Revised: 1/5/04, Accepted: 1/21/04, Published: 1/22/04 Abstract

More information

INTRODUCTION TO INFORMATION THEORY

INTRODUCTION TO INFORMATION THEORY INTRODUCTION TO INFORMATION THEORY KRISTOFFER P. NIMARK These notes introduce the machinery of information theory which is a eld within applied mathematics. The material can be found in most textbooks

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

RATIONALITY CRITERIA FOR MOTIVIC ZETA FUNCTIONS

RATIONALITY CRITERIA FOR MOTIVIC ZETA FUNCTIONS RATIONALITY CRITERIA FOR MOTIVIC ZETA FUNCTIONS YUZHOU GU 1. Introduction Work over C. Consider K 0 Var C, the Grothendieck ring of varieties. As an abelian group, K 0 Var C is generated by isomorphism

More information

1 Introduction. 2 Calculation of the output signal

1 Introduction. 2 Calculation of the output signal (c) Peter Fischer, 2006-2013 Institute for Computer Engineering (ZITI), Heidelberg University, Germany email address: peter.fischer@ziti.uni-heidelberg.de In this text I will show how the period of the

More information

Complete Induction and the Well- Ordering Principle

Complete Induction and the Well- Ordering Principle Complete Induction and the Well- Ordering Principle Complete Induction as a Rule of Inference In mathematical proofs, complete induction (PCI) is a rule of inference of the form P (a) P (a + 1) P (b) k

More information