On Implicative and Strong Implicative Filters of Lattice Wajsberg Algebras

Similar documents
POSITIVE IMPLICATIVE AND ASSOCIATIVE FILTERS OF LATTICE IMPLICATION ALGEBRAS

ON LEFT(RIGHT) SEMI-REGULAR AND g-reguar po-semigroups. Sang Keun Lee

A Study on the Properties of Rational Triangles

arxiv: v1 [math.ct] 8 Sep 2009

Pre-Lie algebras, rooted trees and related algebraic structures

ON n-fold FILTERS IN BL-ALGEBRAS

Coalgebra, Lecture 15: Equations for Deterministic Automata

Compression of Palindromes and Regularity.

Hyers-Ulam stability of Pielou logistic difference equation

CHENG Chun Chor Litwin The Hong Kong Institute of Education

Logic, Set Theory and Computability [M. Coppenbarger]

(, ) Anti Fuzzy Subgroups

A STUDY OF Q-CONTIGUOUS FUNCTION RELATIONS

KENDRIYA VIDYALAYA IIT KANPUR HOME ASSIGNMENTS FOR SUMMER VACATIONS CLASS - XII MATHEMATICS (Relations and Functions & Binary Operations)

#A42 INTEGERS 11 (2011) ON THE CONDITIONED BINOMIAL COEFFICIENTS

Co-ordinated s-convex Function in the First Sense with Some Hadamard-Type Inequalities

1 PYTHAGORAS THEOREM 1. Given a right angled triangle, the square of the hypotenuse is equal to the sum of the squares of the other two sides.

The Word Problem in Quandles

ON AN INEQUALITY FOR THE MEDIANS OF A TRIANGLE

DEFORMATIONS OF ASSOCIATIVE ALGEBRAS WITH INNER PRODUCTS

MATH 409 Advanced Calculus I Lecture 22: Improper Riemann integrals.

ABSTRACT: This paper is a study on algebraic structure of Pre A* - algebra and defines the relation R on an. and prove that the relations

Boolean Algebra cont. The digital abstraction

MAT 403 NOTES 4. f + f =

DIFFERENCE BETWEEN TWO RIEMANN-STIELTJES INTEGRAL MEANS

Results on Planar Near Rings

SOME COPLANAR POINTS IN TETRAHEDRON

On the Co-Ordinated Convex Functions

QUADRATIC EQUATION. Contents

arxiv: v1 [math.ca] 21 Aug 2018

Technische Universität München Winter term 2009/10 I7 Prof. J. Esparza / J. Křetínský / M. Luttenberger 11. Februar Solution

Functions. mjarrar Watch this lecture and download the slides

SEMI-EXCIRCLE OF QUADRILATERAL

Lecture 1 - Introduction and Basic Facts about PDEs

Solutions to Problem Set #1

SOME INTEGRAL INEQUALITIES FOR HARMONICALLY CONVEX STOCHASTIC PROCESSES ON THE CO-ORDINATES

NFA and regex. the Boolean algebra of languages. non-deterministic machines. regular expressions

Harmonic Mean Derivative - Based Closed Newton Cotes Quadrature

Linear Algebra Introduction

SECTION A STUDENT MATERIAL. Part 1. What and Why.?

ANTIPODAL BIPOLAR FUZZY GRAPHS. Muhammad Akram. Sheng-Gang Li. K.P. Shum. 1. Introduction

Rectangular group congruences on an epigroup

Necessary and sucient conditions for some two. Abstract. Further we show that the necessary conditions for the existence of an OD(44 s 1 s 2 )

Review: set theoretic definition of the numbers. Natural numbers:

A Lower Bound for the Length of a Partial Transversal in a Latin Square, Revised Version

Properties of Different Types of Lorentz Transformations

Introduction to Olympiad Inequalities

Symmetrical Components 1

Section 2.3. Matrix Inverses

Descriptional Complexity of Non-Unary Self-Verifying Symmetric Difference Automata

Generalized Kronecker Product and Its Application

OPEN NEWTON - COTES QUADRATURE WITH MIDPOINT DERIVATIVE FOR INTEGRATION OF ALGEBRAIC FUNCTIONS

Hadamard-Type Inequalities for s-convex Functions

Research Article Fejér and Hermite-Hadamard Type Inequalities for Harmonically Convex Functions

Figure 1. The left-handed and right-handed trefoils

More Properties of the Riemann Integral

Hermite-Hadamard inequality for geometrically quasiconvex functions on co-ordinates

CS311 Computational Structures Regular Languages and Regular Grammars. Lecture 6

The study of dual integral equations with generalized Legendre functions

ANALYSIS AND MODELLING OF RAINFALL EVENTS

April 8, 2017 Math 9. Geometry. Solving vector problems. Problem. Prove that if vectors and satisfy, then.

ILLUSTRATING THE EXTENSION OF A SPECIAL PROPERTY OF CUBIC POLYNOMIALS TO NTH DEGREE POLYNOMIALS

Solutions to Homework 6. (b) (This was not part of Exercise 1, but should have been) Let A and B be groups with A B. Then B A.

Section 1.3 Triangles

Some integral inequalities of the Hermite Hadamard type for log-convex functions on co-ordinates

ON THE INEQUALITY OF THE DIFFERENCE OF TWO INTEGRAL MEANS AND APPLICATIONS FOR PDFs

CS 573 Automata Theory and Formal Languages

An introduction to groups

Intuitionistic Fuzzy WI-Ideals of Lattice Wajsberg Algebras

M A T H F A L L CORRECTION. Algebra I 2 1 / 0 9 / U N I V E R S I T Y O F T O R O N T O

6.5 Improper integrals

Intuitionistic Fuzzy Lattices and Intuitionistic Fuzzy Boolean Algebras

Pure 2D Context-free Puzzle P system with Conditional Communication

Some estimates on the Hermite-Hadamard inequality through quasi-convex functions

Section 4.4. Green s Theorem

New Integral Inequalities of the Type of Hermite-Hadamard Through Quasi Convexity

Songklanakarin Journal of Science and Technology SJST R1 Akram. N-Fuzzy BiΓ -Ternary Semigroups

Logic Synthesis and Verification

Computing data with spreadsheets. Enter the following into the corresponding cells: A1: n B1: triangle C1: sqrt

Farey Fractions. Rickard Fernström. U.U.D.M. Project Report 2017:24. Department of Mathematics Uppsala University

Analysis of Temporal Interactions with Link Streams and Stream Graphs

where the box contains a finite number of gates from the given collection. Examples of gates that are commonly used are the following: a b

Part 4. Integration (with Proofs)

The Shortest Confidence Interval for the Mean of a Normal Distribution

Reference : Croft & Davison, Chapter 12, Blocks 1,2. A matrix ti is a rectangular array or block of numbers usually enclosed in brackets.

Bisimulation, Games & Hennessy Milner logic

CS 491G Combinatorial Optimization Lecture Notes

Relations between a dual unit vector and Frenet vectors of a dual curve

A Functorial Query Language

Exercise 3 Logic Control

1. For each of the following theorems, give a two or three sentence sketch of how the proof goes or why it is not true.

( ) { } [ ] { } [ ) { } ( ] { }

Activities. 4.1 Pythagoras' Theorem 4.2 Spirals 4.3 Clinometers 4.4 Radar 4.5 Posting Parcels 4.6 Interlocking Pipes 4.7 Sine Rule Notes and Solutions

Discrete Structures Lecture 11

Solutions for HW9. Bipartite: put the red vertices in V 1 and the black in V 2. Not bipartite!

New Expansion and Infinite Series

Mathematical Journal of Okayama University

Reflection Property of a Hyperbola

Algorithms & Data Structures Homework 8 HS 18 Exercise Class (Room & TA): Submitted by: Peer Feedback by: Points:

Proportions: A ratio is the quotient of two numbers. For example, 2 3

Transcription:

Glol Journl of Mthemtil Sienes: Theory nd Prtil. ISSN 974-32 Volume 9, Numer 3 (27), pp. 387-397 Interntionl Reserh Pulition House http://www.irphouse.om On Implitive nd Strong Implitive Filters of Lttie Wjserg Algers A. Irhim* nd D. Srvnn** * P.G. nd Reserh Deprtment of Mthemtis, H. H. The Rjh s College, Pudukkotti, Tmilndu, Indi. ** Deprtment of Mthemtis, Chikknn Government Arts College, Tirupur, Tmilndu, Indi. Astrt In this pper, we disuss properties of implitive filter. We introdue the notion of strong implitive filter nd investigte some properties with interesting illustrtions. Also, we introdue the dul of kernel denoted s ker nd derive some properties of it. We otin the reltion etween n implitive filter nd strong implitive filter in lttie Wjserg lger. Keywords: Wjserg lger, Lttie Wjserg lger, Implitive filter, Strong implitive filter, Implition homomorphism, Lttie implition homomorphism, dul of kernel (ker). Mthemtil Sujet Clssifition 2: 3G, 3E7.. INTRODUCTION Mordhj Wjsreg [6] introdued the onept of Wjserg lgers in 935 nd studied y Font, Rodriguez nd Torrens in [4]. They [4] defined lttie struture of Wjserg lgers. Also, they [4] introdued the notion of implitive filter of lttie Wjserg lgers nd disussed some of their properties. Bsheer Ahmed nd Irhim [, 2] introdued the definitions of fuzzy implitive filter nd n nti fuzzy implitive filter of lttie Wjserg lgers nd otined some properties with illustrtions.

388 A. Irhim nd D. Srvnn In the present pper, we disuss the properties of implitive filter. We introdue the notion of strong implitive filter of lttie Wjserg lger, nd disuss some properties with exmples. Further, we disuss some relted properties of implitive nd strong Implitive filters of lttie Wjserg lger with useful illustrtions. Finlly, we define dul of kernel (ker) of lttie implition homomorphism nd investigte the properties of implitive nd strong implitive filters relted to ker. 2. PRELIMINARIES In this setion, we review some si definitions nd properties whih re helpful to develop our min results. Definition 2.[4] Let (A,,, ) e n lger with qusi omplement nd inry opertion is lled Wjserg lger if nd only if it stisfies the following xioms for ll x, y, z A. x = x (ii) (x y) (( y z) (x z)) = (iii) (x y) y = (y x ) x (iv) (x y ) (y x) = Proposition 2.2[4] The Wjserg lger (A,,, ) stisfies the following equtions nd implitions for ll x, y, z A. x x = (ii) If x y = y x = then x = y (iii) x = (iv) x (y x) = (v) If x y = y z = then x z = (vi) (x y) ((z x) (z y)) = (vii) x ( y z) = y (x z) (viii) x = x = x (ix) (x) (x ) = x x y = y x

On Implitive nd Strong Implitive Filters of Lttie Wjserg Algers 389 Proposition 2.3[4] TheWjserg lger (A,,, ) stisfies the following equtions nd implitions for ll x, y, z A. (ii) (iii) If x y then x z y z If x y then z x z y x y z iff y x z (iv) (x y) = (x y ) (v) (x y) = (x y ) (vi) (x y) z = (x z) (y z) (vii) x (y z) = (x y) (x z) (viii) (x y) (y x) = (ix) x (y z) = (x y) (x z) (x) (x y) z = (x y) (x z) (xi) (x y) z = (x z) (y z) (xii) (x y) z =(x y) (x z) Definition 2.4[4] The Wjserg lger A is lled lttie Wjserg lger if it stisfies the following onditions for ll x, y A. (ii) (iii) A prtil ordering " "on lttie Wjserg lger A, suh tht x y if nd only if x y = (x y) = (x y) y (x y) =((x y ) y ). Thus, we hve (A,,,,, ) is lttie Wjserg lger with lower ound nd upper ound. Definition 2.5[4] Let A e lttie Wjserg lger. A suset F of A is lled n implitive filter of A if it stisfies the following xioms for ll x, y A. F (ii) x F nd x y F imply y F. Definition 2.6[3] Let A nd A2 e lttie Wjserg lgers, f : A A2 e mpping from Ato A2, if for ny x, y A, f (x y) = f (x) f (y) holds, then f is lled n implition homomorphism from Ato A2.

39 A. Irhim nd D. Srvnn Definition 2.7[3] Let A nd A2 e lttie Wjserg lgers, f : A A2 e n implition homomorphism from A to A2, is lled lttie implition homomorphism from A to A2 if it stisfies the following xioms for ll x, y A f (x y) = f (x) f (y) (ii) f (x y) = f (x) f (y) (iii) f (x ) = [f(x)] Definition 2.8[3] Let f : A A2 e n implition homomorphism, the kernel of f written s Ker( f ) is defined s Ker( f ) = {x A / f (x)= }. 3. MAIN RESULTS 3.. Properties of implitive filters In this setion, we disuss nd investigte some properties of implitive filter of lttie Wjserg lger. Proposition 3... Let F e n implitive filter of lttie Wjserg lger A then x y nd x F imply y F for ll x, y A. Proof. Let F e n implitive filter of A. By the definition 2.5 of n implitive filter x y if nd only if x y = F, x y nd x F imply y F. Proposition 3..2. Let F e non-empty suset of A. Then F is n implitive filter of A if nd only if it stisfies for ll x, y F nd z A, x y z implies z F. Proof. Let F e implitive filter of A. By the Proposition 3.., x y nd x F imply y F. Let z A, we hve x y z. Suppose x x for ll x F. By the definition 2.5 of implitive filter, we hve F. Let x y F nd x F, x (y y) =, x x y implies y F. Therefore, we get F is n implitive filter. Proposition 3..3.Let A e lttie Wjserg lger, F A. F is n implitive filter of A if nd only if it stisfies the following: F (ii) For ny x, y, z A, x y F, y z F imply x z F.

On Implitive nd Strong Implitive Filters of Lttie Wjserg Algers 39 Proof. Suppose tht F is n implitive filter of A, x y F, y z F. By (x y) ((y z) (x z)) = F, it follows tht (x z) F. Conversely, if F A stisfies nd (ii) we hve x nd x y F. It follows tht x F, x y F, nd hene, we get y = y F. Proposition 3..4.Let F e non-empty suset of lttie Wjserg lger A. F is n implitive filter of A if nd only if it stisfies the following: F (ii) For ny x, y, z A, (z y) x F, y F imply z x F. Proof. Suppose tht nd (ii) hold. If x y F nd x F, then ( x) y F, whih implies y = y F nd F is n implitive filter. Conversely, if F is n implitive filter, nd (z y) x F, y F, then y x z x nd y z y. It follows tht (z y) x (z y) (z x) y (z x) nd hene, we hve y (z x) F, whih implies z x F. Proposition 3..5. Let And A2 e ny two lttie Wjserg lgers, f is lttie implition homomorphism from Ato A2. If F2 A2 is n implitive filter of A2, then f (F2) is n implitive filter of A. Proof. Let nd 2 e the gretest elements ofa nd A2, respetively. Sine f ( ) = f ( ) = 2 F2, implies f (F2). If x nd x y f (F2), then, we hve f (x) F2 nd f (x) f (y) = f (x y) F2. It follows tht f (y) F2, nd hene y f (F2). Therefore, f (F2) is n implitive filter of A. Definition 3..6. Let And A2 e lttie Wjserg lgers, nd 2e the gretest elements of A nd A2, respetively. Let f : A A2 e n implition homomorphism, then dul of kernel of f written s ker (f)is defined y ker (f)= {x / x A, f (x) =2}. Proposition 3..7.Let And A2 e ny two lttie Wjserg lgers, nd 2e the gretest elements of And A2respetively, f is n implition homomorphism from Ato A2, ker (f) is n implitive filter of A.

392 A. Irhim nd D. Srvnn Proof. Given tht f is n implition homomorphism, then f () =2, nd hene ker (f). If x nd x y ker (f), then, we hve f (x) =2 nd f (x y) = 2 Now, f (y) = 2 f (y) = f (x) f (y) = f (x y) = 2, sine f is implition homomorphism Hene, we get y ker (f). Therefore, ker (f)is n implitive filter of A. Note. Let f e n implition epimorphism from Ato A2. f is lttie implition isomorphism if nd only if ker (f) = {}, where is the gretest element of A. 3.2. Strong Implitive Filters In this setion, we introdue strong implitive filters of lttie Wjserg lger nd investigte some properties with illustrtions. Definition 3.2.. Let A e lttie Wjserg lger. A suset F of A is lled strong implitive filter of A if it stisfies the following xioms for ll x, y, z A. F (ii) x (y z) F nd x y F imply x z F. Exmple 3.2.2.Let A = {,,, } e set with Figure () s prtil ordering. Define unry opertion nd inry opertion on A s in the Tle () nd Tle (2). x x Tle () Tle (2) Figure ()

On Implitive nd Strong Implitive Filters of Lttie Wjserg Algers 393 Define nd opertions on A s follow: (x y) = x (y y) nd (x y) = ((x y ) y ) for ll x, y A. Then, we hve A is lttie Wjserg lger. Consider the suset F = {,, } of A, then F is strong implitive filter of A. But, the suset G = {,, } of A, then G is not strong implitive filter of A. Sine ( ) = G. Exmple 3.2.3. Let A = {,,,, } with < < < <, we define " " nd " " s x y = min{x, y} nd x y = mx{x, y} for ll x, y A. Also, define unry opertion nd inry opertion on A s in the Tle (3) nd Tle (4). x x Tle (3) Tle (4) Then, we hve A is lttie Wjserg lger. Consider the suset F = {,, } of A, then F is strong implitive filter of A. But, the suset G = {,, } of A, then G is not strong implitive filter of A. Sine ( ) = G. Exmple 3.2.4. Let A = {,,,, d, } e set with Figure (2) s prtil ordering. Define unry opertion nd inry opertion on A s in the Tle (5) nd Tle (6). x x d d d d d d d Tle (5) Tle (6) Figure (2)

394 A. Irhim nd D. Srvnn Define nd opertions on A s follow: (x y) = x (y y) nd (x y) = ((x y ) y ) for ll x, y A. Then, we hve A is lttie Wjserg lger. Consider the suset F = {,, } of A, then F is strong implitive filter of A. But the suset G = {, d, } of A, then G is not strong implitive filter of A. Sine ( d) = G. Proposition 3.2.5. Every strong implitive filter F of A is n implitive filter. Proof. Let F e strong implitive filter of A nd x y F nd x F for ll x, y A. Reple z y y in the definition 3.2.. Then, we hve x (y z) = x (y y) = x = x F. Also, x y F. Then, we get x z F. Thus, every strong implitive filter is n implitive filter. Note. The onverse my not e true. In Exmple 3.2.3, {} is n implitive filter ut not strong implitive filter sine ( )= = {}, nd = {}. Proposition 3.2.6. Let F e n implitive filter of A suh tht x (y (y z)) F nd x F imply x z for ll x, y, z A. Then F is strong implitive filter of A. Proof. Let x (y (y z)) F nd x y F for ll x, y, z A. From (vii) of definition 2.2 nd (ii) of definition 2., we hve x (y z) = y (x z) (x y) (x (x z)). By the Proposition 3.. we get, (x y) (x (x z)) F. Sine x y, we hve x z F.Therefore, F is strong implitive filter. Next, we show the definition of the losed intervl [, ]. Definition 3.2.7. Let A e lttie Wjserg lger, A. The intervl [, ] defined s [, ] = {x / x A, x} of A denoted s I().

On Implitive nd Strong Implitive Filters of Lttie Wjserg Algers 395 Proposition 3.2.8. Let A e lttie Wjserg lger, A, then {} is strong implitive filter of A if nd only if I() is n implitive filter of A for ny A. Proof. Suppose tht {} is strong implitive filter of A. For ny A, A is trivil. If x I() nd x y I(), then x, x y, Tht is, x = {} nd (x y)= {}. It follows tht y {}, y, nd hene y I(). Thus, I() is n implitive filter of A. Conversely, ssume tht I() is n implitive filter of A for ny A. For ny x, y, z A, if x (y z) {} nd x y {}, then x y z, x y, it follows tht x z euse I(x)is n implitive filter, hene x z = {}. Therefore, we hve {} is strong implitive filter of A. Proposition 3.2.9. Let A e lttie Wjserg lger, F A. The following sttements re equivlent (ii) (iii) (iv) Proof. (ii). F is strong implitive filter F is n implitive filter nd for ny x, y A, x (x y) F implies x y F F is n implitive filter nd for ny x, y, z A, x (y z) F implies (x y) (x z) F F nd for ny x, y, z A, z (x (x y)) F nd z F imply x y F. For ny x, y A, if x (x y) F, sine x x = F, from (ii) of definition 3.2. we hve x y F. (ii) (iii). Assume tht (ii) holds. For ny x, y, z A, suppose x (y z) F, from (vii) of proposition 2.2,, (ii) of proposition 2.3 nd (vi) of proposition 2.2, we hve x (y z) x ((x y) (x z)). Therefore, from proposition 3.. nd (vii) of proposition 2.2, we get x (x ((x y) z)) = x ((x y) (x z)) F. From (ii) nd (vii) of proposition 2.2, we hve (iii) (iv). x ((x y) z) = (x y) (x z) F.

396 A. Irhim nd D. Srvnn Now ssume tht (iii) holds nd we prove (iv). In ft, F is trivil. For ny x, y, z A, suppose z (x (x y)) F nd z F, then x (y z) F. From (ii) of definition 2.5, we hve x y = (x y) = (x x) (x y) F. (iv). Suppose x F nd x y F, then we get x ( ( y)) = x y F, It follows tht y = y F nd hene F is n implitive filter. For ny x, y, z A, x (y z) F nd x y F, Now, (x (y z)) ((x y) (x (x z))) = (x y) ((x (y z)) (x (x z))) = (x y) ((y (x z)) (x (x z))) = (x y) (x (y (x z))) = (x y) ((x y) (x (x z))) = F. It follows tht (x y) (x (x z) F nd hene x z F y x y F nd (iv). Proposition 3.2.. Let A e lttie Wjserg lger, F nd F2 re ny two implitive filters of A, F F2. If F is strong implitive filter, so is F2. Proof. Suppose x (x y) F2, we only to prove x y F2. Now x (x ((x (x y)) y)) = (x (x y)) (x (x y)) = F. It follows tht x ((x (x y)) y) F F2. Tht is, (x (x y)) (x y) F2 nd hene x y F2. Therefore, we hve F2 is strong implitive filter. 4. CONCLUSION In this pper, we hve introdued the notion of strong implitive filter of lttie Wjserg lger, nd disussed some of their properties with exmples. Further, we hve shown tht some relted properties of implitive nd strong implitive filters of lttie Wjserg lger with useful illustrtions. Finlly, we hve defined ker of lttie implition homomorphism nd investigte the properties of implitive nd strong implitive filters relted to ker.

On Implitive nd Strong Implitive Filters of Lttie Wjserg Algers 397 REFERENCES [] BsheerAhmed. M nd Irhim. A, Fuzzy implitive filters of lttie Wjserg Algers, Advnes in Fuzzy Mthemtis, Volume 6, Numer 2 (2), 235-243. [2] BsheerAhmed. M nd Irhim. A, Anti fuzzy implitive filters in lttie W-lgers, Interntionl Journl of Computtionl Siene nd Mthemtis, Volume 4, Numer (22), 49-56. [3] Irhim. A, nd C. Shjith Begm, On WI-idels of Lttie Wjserg lgers, Glol Journl of Pure nd Applied Mthemtis, Volume3, Numer (27), 7237-7256. [4] Font. J. M. Rodriguez. A. J nd Torrens. A,Wjserg lgers,stochastica Volume VIII, Numer (984), 5-3 [5] Jun. Y. B, Implitive filters of lttie implition lgers,bull. Koren Mth. So. 34, Numer 2 (997), 93-98. [6] Wjserg. M, BeitrgezumMetussgenklkul, Mont. Mt. phys. 42 (935) pge 24. [7] Yng Xu, Lttie implition lgers, J. of Southwest Jiotong Univ. 28 Numer (993), 2-27.

398 A. Irhim nd D. Srvnn