Structural Functionality as a Fundamental Property of Boolean Algebra and Base for Its Real-Valued Realizations
|
|
- Linette Reynolds
- 5 years ago
- Views:
Transcription
1 Structural Fuctioality as a Fudametal Property of Boolea Algebra ad Base for Its Real-Valued Realizatios Draga G. Radojević Uiversity of Belgrade, Istitute Mihajlo Pupi, Belgrade draga.radojevic@pupi.rs Abstract. The value of the complex Boolea fuctio ca be calculated directly o the basis of its compoets value. It is a priciple kow as the truth fuctioality. Properties of the Boolea algebra have idifferet values. The truth fuctioal priciple is take as a valid priciple i geeral case i the covetioal geeralizatio: multi-valued ad/or real-valued realizatios (fuzzy logic i the broad sese). This paper presets that truth fuctioality is ot valued idifferet property of the Boolea algebra ad it is valid oly i twovalued realizatio, ad thus it caot be the basic of the value geeralizatio. The value geeralizatio (real-valued realizatios) eables icomparably more descriptiveess tha the two-valued classical Boolea algebra, so that the fiite Boolea algebra is eough for ay real applicatio. Each fiite Boolea algebra is atomic. Every Boolea fuctio (the elemet of the aalyzed fiite Boolea algebra) ca be preseted uiquely as disjuctio of the relevat atoms disjuctive caoical form. Which atoms are ad which are ot icluded i the aalyzed Boolea fuctio is defied by its structure: 0-1 vector which dimesio matches the umber of atoms (i the case of idepedet variables, the umber of atoms is 2 ). Atom correspods uiquely to each vector structure positio ad value 0 meas that the adequate atom is ot icluded i the aalyzed fuctio, ad 1 meas that it is icluded. The priciple of the structural fuctioality is: the structure of the complex Boolea fuctio is defied directly o the basis of its compoets structure. The truth fuctioality is a value image of the structural fuctioality oly i the case of two-valued realizatio. Each isistig o the truth fuctioality, such as i the case of covetioal multi-valued logic ad fuzzy logic i geeral sese, is ujustified from the poit of the Boolea cosistecy. Keywords: Boolea algebra, atomic Boolea fuctios, disjuctive caoical form, Boolea fuctio structure, structural fuctioality, truth fuctioality, geeralized value realizatio of the Boolea fuctios. 1 Itroductio The truth fuctioality is a property of the two-valued realizatio of Boolea algebra. The value of complex Boolea fuctio ca be calculated directly based o its A. Lauret et al. (Eds.): IPMU 2014, Part II, CCIS 443, pp , Spriger Iteratioal Publishig Switzerlad 2014
2 Structural Fuctioality as a Fudametal Property of Boolea Algebra 29 compoets values. The priciple of the truth fuctioality is take as a basis of geeralizatio i regular (covetioal) value geeralizatio of the theories based o the Boolea algebra: multi-valued ad/or real-valued logic (fuzzy logic i geeral sese). Practically, there is o explaatio why the truth fuctioality is take as a basis of the valued geeralizatio except ``because it is usual ad techically useful`` (obviously ot mathematical motivatio!). This paper presets that truth fuctioality is valid oly i two-valued realizatio of the Boolea algebra. Every fiite Boolea algebra is atomic. The Boolea algebra geerated with idepedet variables cotais 2 atoms. Atoms are the simplest elemets from the poit of the valued realizatio (i the classical case for the free set of 0-1 idepedet variables values, oly oe atom has value 1 ad all the others 0). The importat atom property of the aalyzed Boolea algebra is the fact that they do ot have aythig i commo ad/or that cojuctio of two differet atoms is idetical to 0 elemet of the Boolea algebra i.e. it has value realizatio idetical to 0. Each Boolea fuctio (elemet of the aalyzed Boolea algebra) ca uiquely be preseted as a uio of relevat atoms disjuctive caoical form. Which atoms are ad which are ot icluded is defied with 0-1 vector dimesio 2 by the structural fuctio. Atom uiquely correspods to each vector positio ad value 0 meas that the appropriate atom is ot icluded i the aalyzed fuctio, ad 1 meas that it is icluded. The structure of the complex Boolea fuctio is defied directly o the basis of the structure of its compoets the priciple of the structural fuctioality. This priciple is value idifferet algebra ad it must be saved i all Boolea cosistet value realizatios. The truth fuctioality is a value image of the structural fuctioality ad oly i the case of two-valued realizatio kow truth table, for example. Each isistig o the truth fuctioality i geeral case (multi-valued ad/or real-valued realizatio) has as a result impossibility of simultaeous keepig all properties of Boolea algebra. So, the aswer o the questio stated i the paper title is that the structural fuctioality is the basic of the Boolea cosistet geeralizatio of the fiite Boolea algebra valued realizatio i geeral case. The Boolea cosistet geeralizatio eables direct geeralizatio of all theories based o the classical fiite Boolea algebra. From the poit of the Boolea cosistecy, it is completely ujustified to isist o the truth fuctioality such as i the case of the covetioal multi-valued logic ad fuzzy logic i geeral sese. 2 Fuzzy Logic i Boolea Frame Fuzzy logic, realized i the Boolea frame, meas that all Boolea axioms ad theorems are valid i the most geeral case i.e. i the real-valued case. Sice the appropriate classical techiques are based o the Boolea algebra, precisely, o its two-valued realizatio, the cosistet geeralizatio should be based o the real-valued realizatio of the Boolea algebra. The real-valued realizatio of the fiite or atomic Boolea algebra [4, 5 ad 6] is described here i detail. The mai problem of the covetioal approaches (the mai stream of the usual realizatio) is fact that they are based o the priciple of the truth fuctioality, which
3 30 D.G. Radojević is take from the classical logic based o the two-valued realizatio. From the poit of the Boolea algebra, this priciple is adequate or correct oly i two-valued case. The reaso is simple: the Boolea fuctio has the vector ature i geeral case, but i the classical case the attetio is draw oly to oe compoet (which is defied with 0-1 values of the idepedet variables). I geeral case, whe the values of the idepedet variables are ot oly 0 or 1 but also iclude everythig i betwee, it is ecessary to iclude more compoets i calculatio ad i the most geeral case all compoets of the vector immaet to the aalyzed Boolea fuctio i the aalyzed Boolea algebra. I order to illustrate the mai idea, we will use the Boolea fuctio of two idepedet variables x ad y, from the famous Boolea paper from 1848 [2]: ( xy, ) ( 1,1) xy ( 1, 0) x( 1 y) ( 0,1)( 1 x) y ( 0, 0)( 1 x)( 1 y) φ = φ + φ +φ +φ. (1) Actually, this equatio ca be treated also as a special case of the Boolea polyomial [4]: ( xy, ) ( 1,1) x y ( 1,0)( x x y) φ( )( y x y) +φ( )( x y+ x y) φ =φ +φ + 0,1 0, 0 1. The idepedet variables i geeral case take the value from the uit real iter- xy, 0,1. val [ ] is geeralized product [4] or t-orm with the followig property: ( x+ y ) x y ( x y) max 1,0 mi,. (2) 2.1 Boolea Polyomial The real-valued realizatio of the fiite (atomic) Boolea algebra is based o the Boolea polyomials. The free Boolea fuctio ca be uiquely trasformed ito the appropriate Boolea [6]. Example 1: Usig the equatio (2) of the equivalece relatio, exclusive disjuctio ad implicatio, respectively ( ) def ( ) ( ) ( ) ( ) a. φ x,y = x y φ 11, = 1; φ 10, = 0; φ 01, = 0; φ 0, 0 = 1; x y = 1 x y+ 2x y.
4 Structural Fuctioality as a Fudametal Property of Boolea Algebra 31 ( ) def ( ) ( ) ( ) ( ) b. φ x,y = x y φ 11, = 0; φ 10, = 1; φ 01, = 1; φ 0, 0 = 0; x y = x+ y 2x y. ( ) def ( ) ( ) ( ) ( ) c. φ x,y = x y φ 11, = 1; φ 10, = 0; φ 01, = 1; φ 0, 0 = 1; x y = 1 x+ x y. The fiite (atomic) Boolea algebra geerated by the set of idepedet va- Ω= x,...,, 1 x is ΒΑ( Ω ) =Ρ( Ρ( Ω )), where: Ρ( Ω ) is a set of all sub- riables { } sets Ω. The atomic elemets of the aalyzed Boolea algebra ΒΑ( Ω) are [6]: ( S)( x x ) x x S ( ) α,..., =, Ρ Ω. 1 (3) i j xi S xj Ω\ S The atomic Boolea polyomial α ( )(,..., 1 ) atomic elemet α ( )( ) S x x uiquely correspods to the S x,...,, 1 x ad it is defied by the followig equatio [6]: C ( S)( x1,..., x) ( 1 ) xi; S ( ). (4) α = Ρ Ω C Ρ( Ω\ S) xi C S Example 2: The atomic Boolea polyomials for the Boolea algebra geerated with Ω= { x,y} are: ({ }) ({}) ({ }) ({}) 1 α x,y = x y; α x = x x y; α y = y x y; α = x y+ x y. The values of the atomic polyomials i the real-valued case are ega- α S x 1,...,x 01, S Ρ( Ω ), ad their sum is idetically equal to 1. I x,y 01, : tive ( )( ) [ ] the case of the example described by the equatio (2) for [ ]
5 32 D.G. Radojević ( ) ( ) ( ) x y+ x x y + y x y + 1 x y+ x y 1. The classical two-valued case is just a special case which satisfies this fudametal equity, sice the value of oly oe atom is equal to 1 ad all others are idetically equal to 0. The free Boolea fuctio, the appropriate elemet of the aalyzed Boolea algebra φ( x,..., 1 x ) ( ), ΒΑ Ω ca uiquely be preseted i disjuctive caoical form as a disjuctio of relative atomic elemets: ( ) ( ) ( )( ) 1,..., φ 1,...,. (5) S Ρ( Ω) φ x x = S α S x x Where: φ ( ), ( Ρ( Ω) ) atom α ( S)( x x ) i the aalyzed Boolea fuctio ( ),..., 1 the followig way: S S the relatio of iclusio of correspodig φ x,...,, 1 x is defied i ( S) def ( S ( xi ) i ) = φ χ = 1,...,, φ 1, xi S χ S ( xi) = def, ( S Ρ( Ω) ). 0, xi S (6) The relatio of iclusio determies which atoms ( Ρ( Ω) ) aalyzed Boolea fuctio: S are icluded i the ( S)( x1 x) ( x1 x) ( S)( x x ) φ( x x ) 1, α,..., φ,..., φ ( S ) = 0, α 1,..., 1,...,, (6.1) (The values of the correspodig relatio of iclusio are equal to 1) ad which are ot icluded (the values of the relatio of iclusio are equal to 0). The Boolea polyomial uiquely correspods to the aalyzed Boolea fuctio as Figure (5): φ ( x1,..., x) = φ ( S) α ( S)( x1,..., x). (7) S Ρ( Ω) The Boolea polyomial (7) ca be preseted as a scalar product for two vectors: ( x,..., x ) ( x,..., x ), x,..., x [ 0,1] φ 1 =φα 1 1 (8)
6 Structural Fuctioality as a Fudametal Property of Boolea Algebra 33 φ = φ( S) S Ρ( Ω) is a structure of the aalyzed Boolea fuctio φ ( x,..., 1 x ) ΒΑ ( Ω ), i.e. a vector of the relatio of iclusio of atomic fuctios i the aalyzed fuctio. T α ( x1,..., x) = α( S)( x1,..., x) S Ρ( Ω) is a vector of atomic polyomials of the aalyzed fiite (atomic) Boolea algebra ΒΑ( Ω ). Example 2: Structures of the aalyzed Boolea fuctios from the example 1: x y = , x y = , = x y [ ] [ ] [ ]. ad atomic polyomials vectors for two idepedet variables: ( x, x ) x1 x2 x x x. 1 x1 x2 + x1x α 1 2 = x2 x1x2 3 The Structural Fuctioality The priciple of the structural fuctioality: The structure of the free complex Boolea fuctio ca be calculated directly o the basis of its compoets usig the followig idetities: φ ψ =φ ψ φ ψ =φ ψ = = 1. φ φ φ The kow priciple of the truth fuctioality is just a image of the structural fuctioality at the value level ad thus oly i the case of two-valued realizatio. I geeral case (multi-valued ad/or real-valued realizatios), the priciple of the truth fuctioality is ot able to keep all Boolea algebra properties. That is the reaso why fuzzy approaches, based o the priciple of the truth fuctioality (covetioal fuzzy logic i wider sese), caot be i the Boolea frame ad/or they are ot the Boolea cosistet geeralizatios. Structures as algebra properties of the Boolea fuctios keep all Boolea laws [6]:
7 34 D.G. Radojević 3.1 Laws of Mootoicity Associativity Commutatively φ ψ ξ = φ ψ ξ, (9) =. ( ) ( ) ( ) ( ) φ ψ ξ φ ψ ξ φ ψ =ψ φ, φ ψ =ψ φ; (10) =, =. φ ψ ψ φ φ ψ ψ φ Distributive Idetity φ ψ ξ = φ ψ φ ξ, (11) =. ( ) ( ) ( ) ( ) ( ) ( ) φ ψ ξ φ ψ φ ξ φ 0 =φ, φ 1= 1; (12) 0= 0, 1 =. φ φ φ Idempotet =, =. φ φ φ φ φ φ (13) Absorptio =, =. ( ) ( ) φ φ ξ φ φ φ ξ φ (14) 3.2 No Mootoicity Laws Complemetarity = 0, = 1. φ φ φ φ (15) De Morga Laws =, =. ( ) ( ) φ ψ φ ψ φ ψ φ ψ (16)
8 Structural Fuctioality as a Fudametal Property of Boolea Algebra 35 4 Coclusio This approach based o the applicatio of the structural fuctioality keeps all Boolea algebra laws i all possible value realizatios (from the classical two-valued to the most geeral real-valued realizatio) idepedetly from the selected operators of the geeralized product. If you iterpret the geeral case cocretely (real-valued realizatio), the eve the special case (two-valued realizatio) is treated i a differet way. Excluded middle ad o-cotradictio are defied for two-valued realizatio case (i logic, for example, the statemet is either truth or utruth ad it caot be both truth ad utruth) ad thus they are ot adequate for geeral case. It seems that i the case of the covetioal approaches to the geeralizatio, the excluded middle may eve ot be valid. I geeral case oe statemet ca be partially truth but the it is utruth with complemetary itesity. From the poit of the structure, the complemetary fuctio correspods to each Boolea fuctio so that it cotais all atoms which the aalyzed fuctio does ot cotai ad whereat they do ot have a sigle commo atom. The cosequece is that the disjuctio of the free Boolea fuctio ad its complemetary fuctios cotai all atoms ad /or it is idetical to the Boolea costat 1, i.e. it has a value idetically equal to 1 the excluded middle. Also, its cojuctio does ot iclude a sigle atom ad/or it is idetical to the Boolea costat 0, i.e. it has a value idetically equal to 0 o-cotradictio. However, these fudametal laws are valid i all cosistet value realizatios ad kow defiitios are valid oly i classical two-valued case. Actually, excluded middle ad o-cotradictio uiquely defie the complemetary property of the aalyzed property ad thus these two laws are fudametal ad importat for cogitio i geeral. This ca be illustrated i a simple example, such as a glass filled with water. The classical two-valued case treats oly full or empty glass. Empty is complemet of full ad vice versa. I geeral or real case, the glass ca be partially full ad, at the same time, with the rest it is empty with complemetary itesity, so that the sum of the itesity full ad itesity empty is idetically equal to 1. It is obvious that, besides the fact that properties full ad empty do ot have aythig i commo, they are both simultaeously i the same glass ad thus the uio itesity is equal to 1 ad itersectio itesity to 0. The free classical theory, based o the fiite Boolea algebra usig the real-valued realizatio of the Boolea algebra, ca be geeralized directly [6]. This is very importat for may iterestig examples which are logically complex such as: artificial itelligece, mathematical cogitio, prototype theory i psychology, cocept theory, etc. The structural fuctioality sheds a ew light o the relatioship betwee sytax ad sematics i the classical logic which will be preseted i the ext paper.
9 36 D.G. Radojević Refereces 1. Zadeh, L.A.: From Circuit Theory to System Theory. I: Proc. of Istitute of Ratio Egieerig, vol. 50, pp (1962) 2. Boole, G.: The Calculus of Logic. The Cambridge ad Dubli Mathematical Joural 3, (1848) 3. Radojevic, D.: New [0,1]-valued logic: A atural geeralizatio of Boolea logic. Yugoslav Joural of Operatioal Research - YUJOR 10(2), (2000) 4. Radojevic, D.: There is Eough Room for Zadeh s Ideas, Besides Aristotle s i a Boolea Frame. I: 2d Iteratioal Workshop o Soft Computig Applicatios, SOFA 2007 (2007) 5. Radojevic, D.: Iterpolative Realizatio of Boolea algebra as a Cosistet Frame for Gradatio ad/or Fuzziess. I: Nikravesh, M., Kacprzyk, J., Zadeh, L.A. (eds.) Forgig New Frotiers: Fuzzy Pioeers II. STUDFUZZ, vol. 218, pp Spriger, Heidelberg (2008) 6. Radojevic, D.: Real-valued realizatio of Boolea algebra is atural frame for cosistet fuzzy logic. I: Seisig, R., Trillas, E., Moraga, C., Termii, S. (eds.) O Fuzziess, A Homage to Lotfi Zadeh. STUDFUZZ, vol. 2, pp Spriger, Heidelberg (2013)
Section 4.3. Boolean functions
Sectio 4.3. Boolea fuctios Let us take aother look at the simplest o-trivial Boolea algebra, ({0}), the power-set algebra based o a oe-elemet set, chose here as {0}. This has two elemets, the empty set,
More informationCHAPTER I: Vector Spaces
CHAPTER I: Vector Spaces Sectio 1: Itroductio ad Examples This first chapter is largely a review of topics you probably saw i your liear algebra course. So why cover it? (1) Not everyoe remembers everythig
More informationInfinite Sequences and Series
Chapter 6 Ifiite Sequeces ad Series 6.1 Ifiite Sequeces 6.1.1 Elemetary Cocepts Simply speakig, a sequece is a ordered list of umbers writte: {a 1, a 2, a 3,...a, a +1,...} where the elemets a i represet
More informationExercises 1 Sets and functions
Exercises 1 Sets ad fuctios HU Wei September 6, 018 1 Basics Set theory ca be made much more rigorous ad built upo a set of Axioms. But we will cover oly some heuristic ideas. For those iterested studets,
More informationThe Borel hierarchy classifies subsets of the reals by their topological complexity. Another approach is to classify them by size.
Lecture 7: Measure ad Category The Borel hierarchy classifies subsets of the reals by their topological complexity. Aother approach is to classify them by size. Filters ad Ideals The most commo measure
More informationRiesz-Fischer Sequences and Lower Frame Bounds
Zeitschrift für Aalysis ud ihre Aweduge Joural for Aalysis ad its Applicatios Volume 1 (00), No., 305 314 Riesz-Fischer Sequeces ad Lower Frame Bouds P. Casazza, O. Christese, S. Li ad A. Lider Abstract.
More informationCommutativity in Permutation Groups
Commutativity i Permutatio Groups Richard Wito, PhD Abstract I the group Sym(S) of permutatios o a oempty set S, fixed poits ad trasiet poits are defied Prelimiary results o fixed ad trasiet poits are
More informationIf a subset E of R contains no open interval, is it of zero measure? For instance, is the set of irrationals in [0, 1] is of measure zero?
2 Lebesgue Measure I Chapter 1 we defied the cocept of a set of measure zero, ad we have observed that every coutable set is of measure zero. Here are some atural questios: If a subset E of R cotais a
More information62. Power series Definition 16. (Power series) Given a sequence {c n }, the series. c n x n = c 0 + c 1 x + c 2 x 2 + c 3 x 3 +
62. Power series Defiitio 16. (Power series) Give a sequece {c }, the series c x = c 0 + c 1 x + c 2 x 2 + c 3 x 3 + is called a power series i the variable x. The umbers c are called the coefficiets of
More informationCEE 522 Autumn Uncertainty Concepts for Geotechnical Engineering
CEE 5 Autum 005 Ucertaity Cocepts for Geotechical Egieerig Basic Termiology Set A set is a collectio of (mutually exclusive) objects or evets. The sample space is the (collectively exhaustive) collectio
More informationChapter 0. Review of set theory. 0.1 Sets
Chapter 0 Review of set theory Set theory plays a cetral role i the theory of probability. Thus, we will ope this course with a quick review of those otios of set theory which will be used repeatedly.
More informationChapter 6 Principles of Data Reduction
Chapter 6 for BST 695: Special Topics i Statistical Theory. Kui Zhag, 0 Chapter 6 Priciples of Data Reductio Sectio 6. Itroductio Goal: To summarize or reduce the data X, X,, X to get iformatio about a
More informationChimica Inorganica 3
himica Iorgaica Irreducible Represetatios ad haracter Tables Rather tha usig geometrical operatios, it is ofte much more coveiet to employ a ew set of group elemets which are matrices ad to make the rule
More informationDefinition 4.2. (a) A sequence {x n } in a Banach space X is a basis for X if. unique scalars a n (x) such that x = n. a n (x) x n. (4.
4. BASES I BAACH SPACES 39 4. BASES I BAACH SPACES Sice a Baach space X is a vector space, it must possess a Hamel, or vector space, basis, i.e., a subset {x γ } γ Γ whose fiite liear spa is all of X ad
More informationName of the Student:
SUBJECT NAME : Discrete Mathematics SUBJECT CODE : MA 65 MATERIAL NAME : Problem Material MATERIAL CODE : JM08ADM010 (Sca the above QR code for the direct dowload of this material) Name of the Studet:
More information6 Integers Modulo n. integer k can be written as k = qn + r, with q,r, 0 r b. So any integer.
6 Itegers Modulo I Example 2.3(e), we have defied the cogruece of two itegers a,b with respect to a modulus. Let us recall that a b (mod ) meas a b. We have proved that cogruece is a equivalece relatio
More informationInverse Matrix. A meaning that matrix B is an inverse of matrix A.
Iverse Matrix Two square matrices A ad B of dimesios are called iverses to oe aother if the followig holds, AB BA I (11) The otio is dual but we ofte write 1 B A meaig that matrix B is a iverse of matrix
More informationContinuous Functions
Cotiuous Fuctios Q What does it mea for a fuctio to be cotiuous at a poit? Aswer- I mathematics, we have a defiitio that cosists of three cocepts that are liked i a special way Cosider the followig defiitio
More informationSets and Probabilistic Models
ets ad Probabilistic Models Berli Che Departmet of Computer ciece & Iformatio Egieerig Natioal Taiwa Normal Uiversity Referece: - D. P. Bertsekas, J. N. Tsitsiklis, Itroductio to Probability, ectios 1.1-1.2
More information2.1. The Algebraic and Order Properties of R Definition. A binary operation on a set F is a function B : F F! F.
CHAPTER 2 The Real Numbers 2.. The Algebraic ad Order Properties of R Defiitio. A biary operatio o a set F is a fuctio B : F F! F. For the biary operatios of + ad, we replace B(a, b) by a + b ad a b, respectively.
More informationECON 3150/4150, Spring term Lecture 3
Itroductio Fidig the best fit by regressio Residuals ad R-sq Regressio ad causality Summary ad ext step ECON 3150/4150, Sprig term 2014. Lecture 3 Ragar Nymoe Uiversity of Oslo 21 Jauary 2014 1 / 30 Itroductio
More informationCSE 1400 Applied Discrete Mathematics Number Theory and Proofs
CSE 1400 Applied Discrete Mathematics Number Theory ad Proofs Departmet of Computer Scieces College of Egieerig Florida Tech Sprig 01 Problems for Number Theory Backgroud Number theory is the brach of
More information1. By using truth tables prove that, for all statements P and Q, the statement
Author: Satiago Salazar Problems I: Mathematical Statemets ad Proofs. By usig truth tables prove that, for all statemets P ad Q, the statemet P Q ad its cotrapositive ot Q (ot P) are equivalet. I example.2.3
More informationDS 100: Principles and Techniques of Data Science Date: April 13, Discussion #10
DS 00: Priciples ad Techiques of Data Sciece Date: April 3, 208 Name: Hypothesis Testig Discussio #0. Defie these terms below as they relate to hypothesis testig. a) Data Geeratio Model: Solutio: A set
More informationThe Growth of Functions. Theoretical Supplement
The Growth of Fuctios Theoretical Supplemet The Triagle Iequality The triagle iequality is a algebraic tool that is ofte useful i maipulatig absolute values of fuctios. The triagle iequality says that
More informationRelations Among Algebras
Itroductio to leee Algebra Lecture 6 CS786 Sprig 2004 February 9, 2004 Relatios Amog Algebras The otio of free algebra described i the previous lecture is a example of a more geeral pheomeo called adjuctio.
More informationFirst, note that the LS residuals are orthogonal to the regressors. X Xb X y = 0 ( normal equations ; (k 1) ) So,
0 2. OLS Part II The OLS residuals are orthogoal to the regressors. If the model icludes a itercept, the orthogoality of the residuals ad regressors gives rise to three results, which have limited practical
More informationProduct measures, Tonelli s and Fubini s theorems For use in MAT3400/4400, autumn 2014 Nadia S. Larsen. Version of 13 October 2014.
Product measures, Toelli s ad Fubii s theorems For use i MAT3400/4400, autum 2014 Nadia S. Larse Versio of 13 October 2014. 1. Costructio of the product measure The purpose of these otes is to preset the
More informationBertrand s Postulate
Bertrad s Postulate Lola Thompso Ross Program July 3, 2009 Lola Thompso (Ross Program Bertrad s Postulate July 3, 2009 1 / 33 Bertrad s Postulate I ve said it oce ad I ll say it agai: There s always a
More informationAs stated by Laplace, Probability is common sense reduced to calculation.
Note: Hadouts DO NOT replace the book. I most cases, they oly provide a guidelie o topics ad a ituitive feel. The math details will be covered i class, so it is importat to atted class ad also you MUST
More informationDiscrete-Time Systems, LTI Systems, and Discrete-Time Convolution
EEL5: Discrete-Time Sigals ad Systems. Itroductio I this set of otes, we begi our mathematical treatmet of discrete-time s. As show i Figure, a discrete-time operates or trasforms some iput sequece x [
More informationMathematical Induction
Mathematical Iductio Itroductio Mathematical iductio, or just iductio, is a proof techique. Suppose that for every atural umber, P() is a statemet. We wish to show that all statemets P() are true. I a
More informationLecture 2 Clustering Part II
COMS 4995: Usupervised Learig (Summer 8) May 24, 208 Lecture 2 Clusterig Part II Istructor: Nakul Verma Scribes: Jie Li, Yadi Rozov Today, we will be talkig about the hardess results for k-meas. More specifically,
More informationLecture 10: Mathematical Preliminaries
Lecture : Mathematical Prelimiaries Obective: Reviewig mathematical cocepts ad tools that are frequetly used i the aalysis of algorithms. Lecture # Slide # I this
More informationSection 11.8: Power Series
Sectio 11.8: Power Series 1. Power Series I this sectio, we cosider geeralizig the cocept of a series. Recall that a series is a ifiite sum of umbers a. We ca talk about whether or ot it coverges ad i
More informationChapter 3. Strong convergence. 3.1 Definition of almost sure convergence
Chapter 3 Strog covergece As poited out i the Chapter 2, there are multiple ways to defie the otio of covergece of a sequece of radom variables. That chapter defied covergece i probability, covergece i
More informationSimilarity between quantum mechanics and thermodynamics: Entropy, temperature, and Carnot cycle
Similarity betwee quatum mechaics ad thermodyamics: Etropy, temperature, ad Carot cycle Sumiyoshi Abe 1,,3 ad Shiji Okuyama 1 1 Departmet of Physical Egieerig, Mie Uiversity, Mie 514-8507, Japa Istitut
More informationName of the Student:
SUBJECT NAME : Discrete Mathematics SUBJECT CODE : MA 65 MATERIAL NAME : Part A questios MATERIAL CODE : JM08AM1013 REGULATION : R008 UPDATED ON : May-Jue 016 (Sca the above Q.R code for the direct dowload
More information, then cv V. Differential Equations Elements of Lineaer Algebra Name: Consider the differential equation. and y2 cos( kx)
Cosider the differetial equatio y '' k y 0 has particular solutios y1 si( kx) ad y cos( kx) I geeral, ay liear combiatio of y1 ad y, cy 1 1 cy where c1, c is also a solutio to the equatio above The reaso
More informationLesson 10: Limits and Continuity
www.scimsacademy.com Lesso 10: Limits ad Cotiuity SCIMS Academy 1 Limit of a fuctio The cocept of limit of a fuctio is cetral to all other cocepts i calculus (like cotiuity, derivative, defiite itegrals
More informationSets and Probabilistic Models
ets ad Probabilistic Models Berli Che Departmet of Computer ciece & Iformatio Egieerig Natioal Taiwa Normal iversity Referece: - D. P. Bertsekas, J. N. Tsitsiklis, Itroductio to Probability, ectios 1.1-1.2
More informationLecture Notes for Analysis Class
Lecture Notes for Aalysis Class Topological Spaces A topology for a set X is a collectio T of subsets of X such that: (a) X ad the empty set are i T (b) Uios of elemets of T are i T (c) Fiite itersectios
More informationWhat is Probability?
Quatificatio of ucertaity. What is Probability? Mathematical model for thigs that occur radomly. Radom ot haphazard, do t kow what will happe o ay oe experimet, but has a log ru order. The cocept of probability
More informationMeasure and Measurable Functions
3 Measure ad Measurable Fuctios 3.1 Measure o a Arbitrary σ-algebra Recall from Chapter 2 that the set M of all Lebesgue measurable sets has the followig properties: R M, E M implies E c M, E M for N implies
More informationLecture 6 Chi Square Distribution (χ 2 ) and Least Squares Fitting
Lecture 6 Chi Square Distributio (χ ) ad Least Squares Fittig Chi Square Distributio (χ ) Suppose: We have a set of measuremets {x 1, x, x }. We kow the true value of each x i (x t1, x t, x t ). We would
More informationSome examples of vector spaces
Roberto s Notes o Liear Algebra Chapter 11: Vector spaces Sectio 2 Some examples of vector spaces What you eed to kow already: The te axioms eeded to idetify a vector space. What you ca lear here: Some
More informationLecture 1 Probability and Statistics
Wikipedia: Lecture 1 Probability ad Statistics Bejami Disraeli, British statesma ad literary figure (1804 1881): There are three kids of lies: lies, damed lies, ad statistics. popularized i US by Mark
More informationAn Intuitionistic fuzzy count and cardinality of Intuitionistic fuzzy sets
Malaya Joural of Matematik 4(1)(2013) 123 133 A Ituitioistic fuzzy cout ad cardiality of Ituitioistic fuzzy sets B. K. Tripathy a, S. P. Jea b ad S. K. Ghosh c, a School of Computig Scieces ad Egieerig,
More informationMatrix Algebra 2.2 THE INVERSE OF A MATRIX Pearson Education, Inc.
2 Matrix Algebra 2.2 THE INVERSE OF A MATRIX MATRIX OPERATIONS A matrix A is said to be ivertible if there is a matrix C such that CA = I ad AC = I where, the idetity matrix. I = I I this case, C is a
More informationCALCULATION OF FIBONACCI VECTORS
CALCULATION OF FIBONACCI VECTORS Stuart D. Aderso Departmet of Physics, Ithaca College 953 Daby Road, Ithaca NY 14850, USA email: saderso@ithaca.edu ad Dai Novak Departmet of Mathematics, Ithaca College
More informationMath 2784 (or 2794W) University of Connecticut
ORDERS OF GROWTH PAT SMITH Math 2784 (or 2794W) Uiversity of Coecticut Date: Mar. 2, 22. ORDERS OF GROWTH. Itroductio Gaiig a ituitive feel for the relative growth of fuctios is importat if you really
More informationWe will conclude the chapter with the study a few methods and techniques which are useful
Chapter : Coordiate geometry: I this chapter we will lear about the mai priciples of graphig i a dimesioal (D) Cartesia system of coordiates. We will focus o drawig lies ad the characteristics of the graphs
More informationLecture Notes for CS 313H, Fall 2011
Lecture Notes for CS 313H, Fall 011 August 5. We start by examiig triagular umbers: T () = 1 + + + ( = 0, 1,,...). Triagular umbers ca be also defied recursively: T (0) = 0, T ( + 1) = T () + + 1, or usig
More informationChapter 6 Infinite Series
Chapter 6 Ifiite Series I the previous chapter we cosidered itegrals which were improper i the sese that the iterval of itegratio was ubouded. I this chapter we are goig to discuss a topic which is somewhat
More informationLecture 4: Grassmannians, Finite and Affine Morphisms
18.725 Algebraic Geometry I Lecture 4 Lecture 4: Grassmaias, Fiite ad Affie Morphisms Remarks o last time 1. Last time, we proved the Noether ormalizatio lemma: If A is a fiitely geerated k-algebra, the,
More information3. Z Transform. Recall that the Fourier transform (FT) of a DT signal xn [ ] is ( ) [ ] = In order for the FT to exist in the finite magnitude sense,
3. Z Trasform Referece: Etire Chapter 3 of text. Recall that the Fourier trasform (FT) of a DT sigal x [ ] is ω ( ) [ ] X e = j jω k = xe I order for the FT to exist i the fiite magitude sese, S = x [
More informationLecture 6 Chi Square Distribution (χ 2 ) and Least Squares Fitting
Lecture 6 Chi Square Distributio (χ ) ad Least Squares Fittig Chi Square Distributio (χ ) Suppose: We have a set of measuremets {x 1, x, x }. We kow the true value of each x i (x t1, x t, x t ). We would
More informationA solid Foundation for q-appell Polynomials
Advaces i Dyamical Systems ad Applicatios ISSN 0973-5321, Volume 10, Number 1, pp. 27 35 2015) http://campus.mst.edu/adsa A solid Foudatio for -Appell Polyomials Thomas Erst Uppsala Uiversity Departmet
More informationA constructive analysis of convex-valued demand correspondence for weakly uniformly rotund and monotonic preference
MPRA Muich Persoal RePEc Archive A costructive aalysis of covex-valued demad correspodece for weakly uiformly rotud ad mootoic preferece Yasuhito Taaka ad Atsuhiro Satoh. May 04 Olie at http://mpra.ub.ui-mueche.de/55889/
More informationSOLVED EXAMPLES
Prelimiaries Chapter PELIMINAIES Cocept of Divisibility: A o-zero iteger t is said to be a divisor of a iteger s if there is a iteger u such that s tu I this case we write t s (i) 6 as ca be writte as
More informationMachine Learning Theory Tübingen University, WS 2016/2017 Lecture 11
Machie Learig Theory Tübige Uiversity, WS 06/07 Lecture Tolstikhi Ilya Abstract We will itroduce the otio of reproducig kerels ad associated Reproducig Kerel Hilbert Spaces (RKHS). We will cosider couple
More informationPolynomial Functions and Their Graphs
Polyomial Fuctios ad Their Graphs I this sectio we begi the study of fuctios defied by polyomial expressios. Polyomial ad ratioal fuctios are the most commo fuctios used to model data, ad are used extesively
More informationSome remarks for codes and lattices over imaginary quadratic
Some remarks for codes ad lattices over imagiary quadratic fields Toy Shaska Oaklad Uiversity, Rochester, MI, USA. Caleb Shor Wester New Eglad Uiversity, Sprigfield, MA, USA. shaska@oaklad.edu Abstract
More informationAdvanced Stochastic Processes.
Advaced Stochastic Processes. David Gamarik LECTURE 2 Radom variables ad measurable fuctios. Strog Law of Large Numbers (SLLN). Scary stuff cotiued... Outlie of Lecture Radom variables ad measurable fuctios.
More informationCounting Well-Formed Parenthesizations Easily
Coutig Well-Formed Parethesizatios Easily Pekka Kilpeläie Uiversity of Easter Filad School of Computig, Kuopio August 20, 2014 Abstract It is well kow that there is a oe-to-oe correspodece betwee ordered
More informationMathematics Review for MS Finance Students Lecture Notes
Mathematics Review for MS Fiace Studets Lecture Notes Athoy M. Mario Departmet of Fiace ad Busiess Ecoomics Marshall School of Busiess Uiversity of Souther Califoria Los Ageles, CA 1 Lecture 1.1: Basics
More informationIn number theory we will generally be working with integers, though occasionally fractions and irrationals will come into play.
Number Theory Math 5840 otes. Sectio 1: Axioms. I umber theory we will geerally be workig with itegers, though occasioally fractios ad irratioals will come ito play. Notatio: Z deotes the set of all itegers
More informationOn Nonsingularity of Saddle Point Matrices. with Vectors of Ones
Iteratioal Joural of Algebra, Vol. 2, 2008, o. 4, 197-204 O Nosigularity of Saddle Poit Matrices with Vectors of Oes Tadeusz Ostrowski Istitute of Maagemet The State Vocatioal Uiversity -400 Gorzów, Polad
More informationREVIEW FOR CHAPTER 1
REVIEW FOR CHAPTER 1 A short summary: I this chapter you helped develop some basic coutig priciples. I particular, the uses of ordered pairs (The Product Priciple), fuctios, ad set partitios (The Sum Priciple)
More informationReliability and Queueing
Copyright 999 Uiversity of Califoria Reliability ad Queueig by David G. Messerschmitt Supplemetary sectio for Uderstadig Networked Applicatios: A First Course, Morga Kaufma, 999. Copyright otice: Permissio
More informationMath 155 (Lecture 3)
Math 55 (Lecture 3) September 8, I this lecture, we ll cosider the aswer to oe of the most basic coutig problems i combiatorics Questio How may ways are there to choose a -elemet subset of the set {,,,
More informationPhysics 324, Fall Dirac Notation. These notes were produced by David Kaplan for Phys. 324 in Autumn 2001.
Physics 324, Fall 2002 Dirac Notatio These otes were produced by David Kapla for Phys. 324 i Autum 2001. 1 Vectors 1.1 Ier product Recall from liear algebra: we ca represet a vector V as a colum vector;
More informationTHE ASYMPTOTIC COMPLEXITY OF MATRIX REDUCTION OVER FINITE FIELDS
THE ASYMPTOTIC COMPLEXITY OF MATRIX REDUCTION OVER FINITE FIELDS DEMETRES CHRISTOFIDES Abstract. Cosider a ivertible matrix over some field. The Gauss-Jorda elimiatio reduces this matrix to the idetity
More informationSquare-Congruence Modulo n
Square-Cogruece Modulo Abstract This paper is a ivestigatio of a equivalece relatio o the itegers that was itroduced as a exercise i our Discrete Math class. Part I - Itro Defiitio Two itegers are Square-Cogruet
More informationThe Choquet Integral with Respect to Fuzzy-Valued Set Functions
The Choquet Itegral with Respect to Fuzzy-Valued Set Fuctios Weiwei Zhag Abstract The Choquet itegral with respect to real-valued oadditive set fuctios, such as siged efficiecy measures, has bee used i
More informationOn Involutions which Preserve Natural Filtration
Proceedigs of Istitute of Mathematics of NAS of Ukraie 00, Vol. 43, Part, 490 494 O Ivolutios which Preserve Natural Filtratio Alexader V. STRELETS Istitute of Mathematics of the NAS of Ukraie, 3 Tereshchekivska
More informationSets. Sets. Operations on Sets Laws of Algebra of Sets Cardinal Number of a Finite and Infinite Set. Representation of Sets Power Set Venn Diagram
Sets MILESTONE Sets Represetatio of Sets Power Set Ve Diagram Operatios o Sets Laws of lgebra of Sets ardial Number of a Fiite ad Ifiite Set I Mathematical laguage all livig ad o-livig thigs i uiverse
More informationEE / EEE SAMPLE STUDY MATERIAL. GATE, IES & PSUs Signal System. Electrical Engineering. Postal Correspondence Course
Sigal-EE Postal Correspodece Course 1 SAMPLE STUDY MATERIAL Electrical Egieerig EE / EEE Postal Correspodece Course GATE, IES & PSUs Sigal System Sigal-EE Postal Correspodece Course CONTENTS 1. SIGNAL
More informationStatistics 511 Additional Materials
Cofidece Itervals o mu Statistics 511 Additioal Materials This topic officially moves us from probability to statistics. We begi to discuss makig ifereces about the populatio. Oe way to differetiate probability
More information6.003 Homework #3 Solutions
6.00 Homework # Solutios Problems. Complex umbers a. Evaluate the real ad imagiary parts of j j. π/ Real part = Imagiary part = 0 e Euler s formula says that j = e jπ/, so jπ/ j π/ j j = e = e. Thus the
More informationK. Grill Institut für Statistik und Wahrscheinlichkeitstheorie, TU Wien, Austria
MARKOV PROCESSES K. Grill Istitut für Statistik ud Wahrscheilichkeitstheorie, TU Wie, Austria Keywords: Markov process, Markov chai, Markov property, stoppig times, strog Markov property, trasitio matrix,
More informationProof of Goldbach s Conjecture. Reza Javaherdashti
Proof of Goldbach s Cojecture Reza Javaherdashti farzijavaherdashti@gmail.com Abstract After certai subsets of Natural umbers called Rage ad Row are defied, we assume (1) there is a fuctio that ca produce
More informationSummary: CORRELATION & LINEAR REGRESSION. GC. Students are advised to refer to lecture notes for the GC operations to obtain scatter diagram.
Key Cocepts: 1) Sketchig of scatter diagram The scatter diagram of bivariate (i.e. cotaiig two variables) data ca be easily obtaied usig GC. Studets are advised to refer to lecture otes for the GC operatios
More information1 Review and Overview
DRAFT a fial versio will be posted shortly CS229T/STATS231: Statistical Learig Theory Lecturer: Tegyu Ma Lecture #3 Scribe: Migda Qiao October 1, 2013 1 Review ad Overview I the first half of this course,
More informationResolution Proofs of Generalized Pigeonhole Principles
Resolutio Proofs of Geeralized Pigeohole Priciples Samuel R. Buss Departmet of Mathematics Uiversity of Califoria, Berkeley Győrgy Turá Departmet of Mathematics, Statistics, ad Computer Sciece Uiversity
More information1 Last time: similar and diagonalizable matrices
Last time: similar ad diagoalizable matrices Let be a positive iteger Suppose A is a matrix, v R, ad λ R Recall that v a eigevector for A with eigevalue λ if v ad Av λv, or equivaletly if v is a ozero
More informationMath 113 Exam 3 Practice
Math Exam Practice Exam will cover.-.9. This sheet has three sectios. The first sectio will remid you about techiques ad formulas that you should kow. The secod gives a umber of practice questios for you
More informationROTATION-EQUIVALENCE CLASSES OF BINARY VECTORS. 1. Introduction
t m Mathematical Publicatios DOI: 10.1515/tmmp-2016-0033 Tatra Mt. Math. Publ. 67 (2016, 93 98 ROTATION-EQUIVALENCE CLASSES OF BINARY VECTORS Otokar Grošek Viliam Hromada ABSTRACT. I this paper we study
More informationRandom Variables, Sampling and Estimation
Chapter 1 Radom Variables, Samplig ad Estimatio 1.1 Itroductio This chapter will cover the most importat basic statistical theory you eed i order to uderstad the ecoometric material that will be comig
More informationPAijpam.eu ON TENSOR PRODUCT DECOMPOSITION
Iteratioal Joural of Pure ad Applied Mathematics Volume 103 No 3 2015, 537-545 ISSN: 1311-8080 (prited versio); ISSN: 1314-3395 (o-lie versio) url: http://wwwijpameu doi: http://dxdoiorg/1012732/ijpamv103i314
More informationResearch Article Approximate Riesz Algebra-Valued Derivations
Abstract ad Applied Aalysis Volume 2012, Article ID 240258, 5 pages doi:10.1155/2012/240258 Research Article Approximate Riesz Algebra-Valued Derivatios Faruk Polat Departmet of Mathematics, Faculty of
More informationLecture 3 : Random variables and their distributions
Lecture 3 : Radom variables ad their distributios 3.1 Radom variables Let (Ω, F) ad (S, S) be two measurable spaces. A map X : Ω S is measurable or a radom variable (deoted r.v.) if X 1 (A) {ω : X(ω) A}
More informationMP and MT-implications on a finite scale
MP ad MT-implicatios o a fiite scale M Mas Dpt de Matemàtiques i If Uiversitat de les Illes Balears 07122 Palma de Mallorca Spai dmimmg0@uibes M Moserrat Dpt de Matemàtiques i If Uiversitat de les Illes
More information11. FINITE FIELDS. Example 1: The following tables define addition and multiplication for a field of order 4.
11. FINITE FIELDS 11.1. A Field With 4 Elemets Probably the oly fiite fields which you ll kow about at this stage are the fields of itegers modulo a prime p, deoted by Z p. But there are others. Now although
More informationA TYPE OF PRIMITIVE ALGEBRA*
A TYPE OF PRIMITIVE ALGEBRA* BT J. H. M. WEDDERBURN I a recet paper,t L. E. Dickso has discussed the liear associative algebra, A, defied by the relatios xy = yo(x), y = g, where 8 ( x ) is a polyomial
More information4. Partial Sums and the Central Limit Theorem
1 of 10 7/16/2009 6:05 AM Virtual Laboratories > 6. Radom Samples > 1 2 3 4 5 6 7 4. Partial Sums ad the Cetral Limit Theorem The cetral limit theorem ad the law of large umbers are the two fudametal theorems
More informationDiscrete Orthogonal Moment Features Using Chebyshev Polynomials
Discrete Orthogoal Momet Features Usig Chebyshev Polyomials R. Mukuda, 1 S.H.Og ad P.A. Lee 3 1 Faculty of Iformatio Sciece ad Techology, Multimedia Uiversity 75450 Malacca, Malaysia. Istitute of Mathematical
More informationNumerical Conformal Mapping via a Fredholm Integral Equation using Fourier Method ABSTRACT INTRODUCTION
alaysia Joural of athematical Scieces 3(1): 83-93 (9) umerical Coformal appig via a Fredholm Itegral Equatio usig Fourier ethod 1 Ali Hassa ohamed urid ad Teh Yua Yig 1, Departmet of athematics, Faculty
More informationR is a scalar defined as follows:
Math 8. Notes o Dot Product, Cross Product, Plaes, Area, ad Volumes This lecture focuses primarily o the dot product ad its may applicatios, especially i the measuremet of agles ad scalar projectio ad
More informationPAijpam.eu ON DERIVATION OF RATIONAL SOLUTIONS OF BABBAGE S FUNCTIONAL EQUATION
Iteratioal Joural of Pure ad Applied Mathematics Volume 94 No. 204, 9-20 ISSN: 3-8080 (prited versio); ISSN: 34-3395 (o-lie versio) url: http://www.ijpam.eu doi: http://dx.doi.org/0.2732/ijpam.v94i.2 PAijpam.eu
More information