Generalized Normal Type-2. Triangular Fuzzy Number

Μέγεθος: px
Εμφάνιση ξεκινά από τη σελίδα:

Download "Generalized Normal Type-2. Triangular Fuzzy Number"

Transcript

1 pped Mahemaca Scence, Vo. 7, 203, no. 45, HIKRI Ld, Generazed orma Type-2 Trangar Fzzy mber bd. Faah Wahab Deparmen of Mahemac, Facy of Scence and Technoogy, Unver Maaya Terenggan, Maaya. Rozam Zakara Deparmen of Mahemac, Facy of Scence and Technoogy, Unver Maaya Terenggan, Maaya. Copyrgh 203 bd. Faah Wahab and Rozam Zakara. Th an open acce arce drbed nder he Creave Common rbon Lcene, whch perm nrerced e, drbon, and reprodcon n any medm, provded he orgna work propery ced. brac Here, we preen for heorem nvovng norma ype-2 rangar fzzy nmber (T2TF. Keyword: Type-2 rangar fzzy nmber, pha-c, Type-redcon, Defzzfcaon Inrodcon Type-2 fzzy nmber (T2F concep wa nrodced a he exenon of ype- fzzy nmber (TF [2,5] concep n deang he probem of defnng he compex ncerany daa n rea daa form. Th T2F defned by he ype-2 fzzy e (T2FS heory whch wa nrodced by Zadeh [3] n order o ove he compex ncerany probem of rea daa e. Therefore, he defnon of T2F, norma T2F, apha-c operaon, ype-redcon and defzzfcaon proce of norma T2F are gven a foow. Defnon. T2F broady defned a a T2FS ha ha a nmerca doman. n nerva T2FS defned ng he foowng for conran, where

2 2240 bd. Faah Wahab and Rozam Zakara a b c d = {[, ],[, ]}, [ 0,], a b, b, c, d R (Fg. []:. a b c d 2. [ a, d ] and [ b, c ] generae a fncon ha convex and [ a, d ] generae a fncon norma , 2 [0,]:( 2 > ( a, c a, c, b, d b, d, for c b. 4. If he maxmm of he memberhp fncon generaed by [ b, c ] he m m eve m, ha, [ b, c ], hen m m = = b, c a, d. 2 a b c d x 0 0 a b c d Fgre. Defnon of an nerva T2F. x Defnon 2. Gven ha T2F, whch he hegh of ower memberhp fncon(lmf and pper memberhp fncon(umf are h ( ( and h( repecvey, hen T2F caed orma of T2F(T2F f h( ( < h( = [4]. Th Def. 2 can be raed hrogh Fg. 2. μ ( x ( = h ( ( h ( ( < h( = h P (, LMF ( TF( P (, UMF Fgre 2. The T2F.

3 Generazed norma ype-2 rangar fzzy nmber 224 Defnon 3. Baed on Def. 2, e be he e of T2F n rangar form wh where = 0,,..., n. Then he apha-c operaon of T2TF whch gven a eqaon a foow [4]. =,, P = ; ;,, ; ; LMF = ; ; ; ; + ; ;,, CLMF LMF ; ; ; ; + ; ; CLMF ( where LMF and CLMF are apha vae of ower memberhp fncon and crp ower memberhp fncon of T2TF repecvey. Th defnon can be raed hrogh Fg. 3. μ ( x Fgre 3. The apha-c operaon oward T2TF. However, when LMF < < UMF for -c operaon of T2TF, hen he Eq. become =,, P = = 0.5 = 0.5 ( LMF = 0.5 ; ;,, ; ; ( LMF = 0.5 P 0.5 = P 0.5 =

4 2242 bd. Faah Wahab and Rozam Zakara = ; ; ; ;0 + ; ;,, ; ; 0; ; + ; ; (2 whch can be raed by gven h foowng fgre. μ ( x Fgre 4. The apha-c operaon oward T2TF wh LMF < < UMF. Defnon 4. Le be a e of ( n + T2TF, hen ype-redcon mehod of -T2TF(afer fzzfcaon, defned [4] by = { =,, ; = 0,,..., n } (3 where are ef ype-redcon of apha-c T2TF, = + +, he crp pon of T2TF and 3 = 0,..., n rgh ype-redcon of apha-c T2TF, = + + P P P. 3 = 0,..., n Defnon 5. Le -TR he ype-redcon mehod afer -c proce had been apped for every T2TF,. Then named a defzzfcaon T2TF for f for every [4], { } for 0,,..., = 0.8 = 0.8 = 0.8 = 0.8 = = n where for every =,, < >. The proce n defzzfyng he 3 = 0

5 Generazed norma ype-2 rangar fzzy nmber 2243 T2TF can be raed a Fg. 5. μ ( x μ ( x μ( x = 0.5 T2TF -c operaon -T2TF μ( x μ( x Type-redcon proce Crp pon Defzzfy pon Defzzfcaon proce Fgre 5. Defzzfcaon proce of T2TF. TR -T2TF 2 Re Theorem 2.. Le be a TT2F whch cenred a c wh < ϕ, εγ, > and < η, φλ, > are ef and rgh nerva(nerva of fooprn of repecvey. If and are he -c of where < wh < < whch and are ower and pper -c of, hen (, (., Proof. Le he memberhp fncon of gven a c x, f ( ϕεγ,, x c ( ϕεγ,, x c x ( =, f c x ( η, φλ, (4 ( ηφλ,, 0, oherwe where ϕ ε γ and η φ λ. Then, he nerva of < c ( ϕ, εγ,, c, c + ( ηφλ,, >. From Eq. 4, f he ype-2 fzzy nerva wa obaned by -c operaon, hen he nerva of acheved whch gven a =< r,, r > (,, c and =< r,, r > (,, (,, c wh (,, and r and,, r,, and r,, are ef and rgh fooprn of r,,

6 2244 bd. Faah Wahab and Rozam Zakara -c of where < for a, (0,]. For, ( c ( ϕεγ,, r ( ( ϕεγ,, r c (,, r = (,, =, c, c ( c ( ϕεγ,, ( c+ ( ηφλ,, ( c+ ( ηφλ,, r r (,, r = ( =,, ( c+ ( ηφλ,, c r r ( ( ϕεγ,, r c = [ c ( c ( ϕεγ,, ](,, ( (,,,, (,, = + c ϕ ε γ c r r ( + ( ηφλ,, c r = [( c+ ( ηφλ,, c]( =,, + ( + ( ηφλ,,. (,, c For, ( c ( ϕεγ,, r ( ( ϕεγ,, r c (,, r = (,, =, c, c ( c ( ϕεγ,, ( c+ ( ηφλ,, ( c+ ( ηφλ,, r r (,, r = ( =,, ( c+ ( ηφλ,, c r r ( c ( ϕεγ,, r = [ c ( c ( ϕεγ,, ](,, ( (,,,, (,, = + c ϕεγ c r r ( c+ ( ηφλ,, r = [( c+ ( ηφλ,, c]( =,, + ( + ( ηφλ,,. (,, c Snce <, hen ( c ( ϕεγ,, r < ( c ( ϕεγ,, r, c, (,, (,, ( c+ ( ηφλ,, r < ( + ( ηφλ,, c r (,, (,, r r = ([ c ( c ( ϕεγ,, ](,, = + ( c ( ϕεγ,, < ([ c ( c r r ( ϕεγ,, ](,, = + ( c ( ϕεγ,,, c,( [( c+ ( ηφλ,, r r c]( =,, + ( c+ ( η, φ, λ < ( [( c+ ( η, φ, λ

7 Generazed norma ype-2 rangar fzzy nmber 2245 r r c]( =,, + ( c+ ( η, φ, λ r r r r r r r r = (,, = < (,, =, c,( =,, < ( =,, Then, r < r,, < (,, (,, c (,, (,,. Therefore, < r,, > < r,, (,, c r r > (,, (,, c (,, (, (, μ ( x 0 c ϕ c ε c γ c c η c φ c λ x (, (, Fgre 6. < (, (,. Theorem 2... If and are he -c of where < wh < < whch and are ower and pper -c of, hen. Proof. For,

8 2246 bd. Faah Wahab and Rozam Zakara ( c ( ϕε,,0 ( (,,0 c ϕε (,,0 = (,,0, c, c ( c ( ϕε,,0 ( c+ (0, φλ, ( c+ (0, φλ, ( c+ (0, φλ, c (0,, (0,, = (0,, r ( c ( ϕε,,0 = [ c ( c ( ϕε,,0](,,0 ( (,,0,, (,,0 + c ϕε c ( c+ (0, φλ, = [( c+ (0, φλ, c](0,, + ( c+ (0, φλ,. For, ( c ( ϕε,,0 ( c ( ϕε,,0 (,,0 = (,,0, c, c ( c ( ϕε,,0 ( c+ (0, φλ, ( c+ (0, φλ, ( c+ (0, φλ, c (,,0 (0,, (0,, = (0,, ( c ( ϕε,,0 = [ c ( c ( ϕε,,0](,,0 + ( c ( ϕε,,0, c, ( c+ (0, φλ, = [( c+ (0, φλ, c](0,, + ( c+ (0, φλ,. Snce <, hen ( c ( ϕε,,0 < ( c ( ϕε,,0, c, (,,0 (,,0 ( c+ (0, φλ, < ( + (0, φλ, c (0,, (0,, = ([ c ( c ( ϕε,,0](,,0 + ( c ( ϕε,,0 < ([ c ( c ( ϕε,,0](,,0 + ( c ( ϕε,,0, c,( [( c+ (0, φλ, c](0,, + ( c+ (0, φλ, < ( [( c+ (0, φλ, c](0,, + ( c+ (0, φλ, = (,,0 < (,,0, c,(0,, < (0,, Then, <,, < (,,0 (,,0 c (0,, (0,,. Therefore, <,, > <,, (,,0 c > (0,, (,,0 c (0,, where, (,

9 Generazed norma ype-2 rangar fzzy nmber 2247 μ ( x 0 c ϕ c ε c γ c c η c φ c λ x Fgre 7. <. Theorem If and are he -c of where < wh < < whch and are ower and pper -c of, hen. (, Proof. For, ( c ( ϕεγ,, r ( ( ϕεγ,, r c (,, r = (,, =, c, c ( c ( ϕεγ,, ( c+ ( ηφλ,, ( c+ ( ηφλ,, r r (,, r = ( =,, ( c+ ( ηφλ,, c r r ( ( ϕεγ,, r c = [ c ( c ( ϕεγ,, ](,, ( (,,,, (,, = + c ϕ ε γ c r r ( + ( ηφλ,, c r = [( c+ ( ηφλ,, c]( =,, + ( + ( ηφλ,,. (,, c For,

10 2248 bd. Faah Wahab and Rozam Zakara ( c ( ϕεγ,, ( c ( ϕεγ,, (,,0 = (,,0, c, c ( c ( ϕεγ,, ( c+ ( ηφλ,, ( c+ ( ηφλ,, ( c+ ( ηφλ,, c (,,0 (0,, = (0,, ( c ( ϕεγ,, = [ c ( c ( ϕεγ,, ](,,0 + ( c ( ϕεγ,,, c, ( + ( ηφλ,, [( ( ηφλ,, ](0, r, r = c+ c + ( c+ ( ηφλ,,. c (0,, Snce <, hen ( c ( ϕεγ,, < ( c ( ϕε,,0, c, r (,, (,,0 ( c+ ( ηφλ,, < ( c+ (0, φλ, r (,, (0,, r r = ([ c ( c ( ϕεγ,, ](,, = + ( c ( ϕεγ,, < ([ c ( c ( ϕεγ,, ](,,0 r r + ( c ( ϕεγ,,, c,( [( c+ ( ηφλ,, c]( =,, + ( c+ ( ηφλ,, < ( [( c+ ( ηφλ,, c](0,, + ( c+ ( ηφλ,, r r r r = (,, = < (,,0, c,( =,, < (0,, Then, r <,, < (,, (,,0 c r (,, (0,,. Therefore, <,, > < r,, (,,0 c r > (0,, (,, c (,, (, where (0,] and (,]

11 Generazed norma ype-2 rangar fzzy nmber 2249 μ ( x 0 c ϕ c ε c γ c c η c φ c λ x Fgre 8. < (,. Theorem 2.2. Baed on he defnon of defzzfcaon for T2TF, e be a repreenaon of -c operaon of T2TF, and ( TR be ype-redcon of, whch gve = = ( ( ϕεγ,,,, = ( + ( ηφλ,, and = = ( ( ϕεγ,,,, = ( + ( ηφλ,, ( TR ( TR ( TR ( TR ( TR where and are ef and rgh fooprn of T2TF afer -c operaon wa apped and ( TR and ( TR are ef and rgh fooprn -T2TF afer ype-redcon ha been apped, a crp pon and ( ϕ, εγ, are ef-ef, ef and rgh-ef engh and ( η, φλ, are ef-rgh, rgh, rgh-rgh engh from repecvey wh γ < ε < ϕ and λ < φ < η. If ( η, φλ, < ( ϕεγ,, or ( ϕ, εγ, < ( ηφλ,,, hen crp ype-2 fzzy oon on ef ogh of repecvey. Proof. Gven ha = = ( ( ϕεγ,,,, = ( + ( ηφλ,,. Then, we obaned (, Cae : For < < where and are ower and pper memberhp fncon of, hen

12 2250 bd. Faah Wahab and Rozam Zakara ( ( ϕεγ,, ( ( ϕεγ,, ( + ( ηφλ,, ( + ( ηφλ,,,, ( ( ϕεγ,, ( + ( ηφλ,, = ( ( ϕεγ,, = ( ( ( ϕεγ,, (,, + ( ( ϕεγ,,,, ( + ( η, φλ, = (( + ( ηφλ,, (,, + ( + ( ηφλ,, = ( ( ϕεγ,,,,( + ( η, φλ,. For ( η, φλ, < ( ϕεγ,,, hen = (( + ( ηφλ,, (,, + ( + ( ηφλ,, < ( ( ( ϕεγ,, (,, + ( ( ϕεγ,, = (,, ( ηφλ,, (,, + (,, + + ( ηφλ,, < (,, (,, + ( ϕεγ,, (,, + ( ϕεγ,, = ( ηφλ,, (,, + ( ηφλ,, < ( ϕεγ,, (,, ( ϕεγ,, = ( ηφλ,, ((,, < ( ϕεγ,, ((,, = ( ηφλ,, < ( ϕεγ,,. For ( ϕ, εγ, < ( ηφλ,,, hen = ( ( ( ϕ, εγ, (,, + ( ( ϕεγ,, < (( + ( ηφλ,, (,, + ( + ( ηφλ,, = (,, (,, + ( ϕεγ,, (,, + ( ϕεγ,, < (,, ( ηφλ,, (,, + (,, + + ( ηφλ,, = ( ϕ, εγ, (,, ( ϕεγ,, < ( ηφλ,, (,, + ( ηφλ,, = ( ϕεγ,, ( (,, < ( ηφλ,, ( (,, = ( ϕ, εγ, < ( ηφλ,,. The ype-redcon proce of, ( TR gven a

13 Generazed norma ype-2 rangar fzzy nmber 225 = = ( ( ϕεγ,,,, = ( + ( ηφλ,, ( TR ( TR ( TR ( TR ( TR = ( ϕ + ( ε + ( γ ( + η + ( + φ + ( + λ,,. 3 3 Then, he defzzfcaon proce of ( can be gven a foow TR ( TR ( ϕ + ( ε + ( γ ( + η + ( + φ + ( + λ =. 3 Therefore, f crp ype-2 fzzy oon wa obaned a he ef de of, hen whch ( + ( ηφλ,, < ( ( ϕεγ,, wh ( η, φλ, < ( ϕεγ,, ( TR < and f crp ype-2 fzzy oon a he rgh de of, hen < ( TR whch ( ( ϕ, εγ, < ( + ( ηφλ,, wh ( ϕ, εγ, < ( ηφλ,,. Cae 2: For < <, hen ( ( ϕε,,0 ( ( ϕε,,0 ( + (0, φλ, ( + (0, φλ,,, ( ( ϕε,,0 ( + (0, φλ, = ( ( ϕε,,0 = ( ( ( ϕε,,0(,,0 + ( ( ϕε,,0,, ( ( + (0, φ, λ = ( + (0, φ, λ (0,, + ( + (0, φ, λ = ( ( ϕε,,0,,( + (0, φλ,. For ( η, φλ, < ( ϕεγ,,, hen ( = ( + (0, φλ, (0,, + ( + (0, φλ, < ( ( ( ϕε,,0(,,0 + ( ( ϕε,,0 = (0,, (0, φλ, (0,, + (0,, + + (0, φλ, < (,,0 (,,0 + ( ϕε,,0(,,0 + ( ϕε,,0 = (0, φλ, (0,, + (0, φλ, < ( ϕε,,0(,,0 ( ϕε,,0 = (0, φλ, ((0,, < ( ϕε,,0((,,0 = (0, φλ, < ( ϕε,,0. The ype-redcon proce of, ( gven a TR

14 2252 bd. Faah Wahab and Rozam Zakara = = ( ( ϕε,,0,, = ( + ( ηφ,,0 ( TR ( TR ( TR ( TR ( TR = ( ϕ + ( ε ( + φ + ( + λ,,. 2 2 Then, he defzzfcaon proce of ( TR can be gven a foow ( ϕ + ( ε ( + φ + ( + λ ( TR =. 3 Therefore, f crp ype-2 fzzy oon wa obaned a he ef de of, hen whch ( + (0, φλ, < ( ( ϕε,,0 wh (0, φ, λ < ( ϕ, ε,0 ( TR < and f crp ype-2 fzzy oon a he rgh de of, hen < ( TR whch ( ( ϕ, ε,0 < ( + (0, φ, λ wh ( ϕ, ε,0 < (0, φ, λ cknowedgemen The ahor wod ke o hank Reearch Managemen and Innovaon Cenre (RMIC of Unver Maaya Terenggan and Mnry of Hgher Edcaon (MOHE Maaya for fndng(frgs, vo59244 and provdng he face o carry o h reearch. Reference [] J.R. gero,. Varga. (2007. Cacang Fncon of Inerva Type-2 Fzzy mber for Fa Crren nay. IEEE Tranacon on Fzzy Syem, 5(, [2] D. Dbo, H. Prade. (980. Fzzy Se and Syem: Theory and ppcaon. ew York: cademc Pre. [3] L.. Zadeh. (975. The concep of a ngc varabe and appcaon o approxmae reaonng-par I-II-III Informaon Scence, 8, 8, 9, , , [4] R. Zakara,.F. Wahab, R.U. Gobhaaan. (203. orma Type-2 Fzzy Raona B-pne Crve. Inernaona Jorna of Mahemaca nay, 7(6, [5] H.-J. Zmmermann. (985. Fzzy Se Theory and I ppcaon. US: Kwer cademc. Receved: Febrary, 203

On homeomorphisms and C 1 maps

On homeomorphisms and C 1 maps arxv:1804.10691v1 [mah.gm] 7 Apr 018 On homeomorphsms and C 1 maps Nkolaos E. Sofronds Deparmen of Economcs, Unversy of Ioannna, Ioannna 45110, Greece. nsofron@oene.gr, nsofron@cc.uo.gr Absrac Our purpose

Διαβάστε περισσότερα

( ) ( t) ( 0) ( ) dw w. = = β. Then the solution of (1.1) is easily found to. wt = t+ t. We generalize this to the following nonlinear differential

( ) ( t) ( 0) ( ) dw w. = = β. Then the solution of (1.1) is easily found to. wt = t+ t. We generalize this to the following nonlinear differential Periodic oluion of van der Pol differenial equaion. by A. Arimoo Deparmen of Mahemaic Muahi Iniue of Technology Tokyo Japan in Seminar a Kiami Iniue of Technology January 8 9. Inroducion Le u conider a

Διαβάστε περισσότερα

Ordinal Arithmetic: Addition, Multiplication, Exponentiation and Limit

Ordinal Arithmetic: Addition, Multiplication, Exponentiation and Limit Ordinal Arithmetic: Addition, Multiplication, Exponentiation and Limit Ting Zhang Stanford May 11, 2001 Stanford, 5/11/2001 1 Outline Ordinal Classification Ordinal Addition Ordinal Multiplication Ordinal

Διαβάστε περισσότερα

Multi-dimensional Central Limit Theorem

Multi-dimensional Central Limit Theorem Mult-dmensonal Central Lmt heorem Outlne () () () t as () + () + + () () () Consder a sequence of ndependent random proceses t, t, dentcal to some ( t). Assume t 0. Defne the sum process t t t t () t tme

Διαβάστε περισσότερα

Multi-dimensional Central Limit Theorem

Multi-dimensional Central Limit Theorem Mult-dmensonal Central Lmt heorem Outlne () () () t as () + () + + () () () Consder a sequence of ndependent random proceses t, t, dentcal to some ( t). Assume t 0. Defne the sum process t t t t () t ();

Διαβάστε περισσότερα

The one-dimensional periodic Schrödinger equation

The one-dimensional periodic Schrödinger equation The one-dmensonal perodc Schrödnger equaon Jordan Bell jordan.bell@gmal.com Deparmen of Mahemacs, Unversy of Torono Aprl 23, 26 Translaons and convoluon For y, le τ y f(x f(x y. To say ha f : C s unformly

Διαβάστε περισσότερα

One and two particle density matrices for single determinant HF wavefunctions. (1) = φ 2. )β(1) ( ) ) + β(1)β * β. (1)ρ RHF

One and two particle density matrices for single determinant HF wavefunctions. (1) = φ 2. )β(1) ( ) ) + β(1)β * β. (1)ρ RHF One and two partcle densty matrces for sngle determnant HF wavefunctons One partcle densty matrx Gven the Hartree-Fock wavefuncton ψ (,,3,!, = Âϕ (ϕ (ϕ (3!ϕ ( 3 The electronc energy s ψ H ψ = ϕ ( f ( ϕ

Διαβάστε περισσότερα

Finite Field Problems: Solutions

Finite Field Problems: Solutions Finite Field Problems: Solutions 1. Let f = x 2 +1 Z 11 [x] and let F = Z 11 [x]/(f), a field. Let Solution: F =11 2 = 121, so F = 121 1 = 120. The possible orders are the divisors of 120. Solution: The

Διαβάστε περισσότερα

Example Sheet 3 Solutions

Example Sheet 3 Solutions Example Sheet 3 Solutions. i Regular Sturm-Liouville. ii Singular Sturm-Liouville mixed boundary conditions. iii Not Sturm-Liouville ODE is not in Sturm-Liouville form. iv Regular Sturm-Liouville note

Διαβάστε περισσότερα

Main source: "Discrete-time systems and computer control" by Α. ΣΚΟΔΡΑΣ ΨΗΦΙΑΚΟΣ ΕΛΕΓΧΟΣ ΔΙΑΛΕΞΗ 4 ΔΙΑΦΑΝΕΙΑ 1

Main source: Discrete-time systems and computer control by Α. ΣΚΟΔΡΑΣ ΨΗΦΙΑΚΟΣ ΕΛΕΓΧΟΣ ΔΙΑΛΕΞΗ 4 ΔΙΑΦΑΝΕΙΑ 1 Main source: "Discrete-time systems and computer control" by Α. ΣΚΟΔΡΑΣ ΨΗΦΙΑΚΟΣ ΕΛΕΓΧΟΣ ΔΙΑΛΕΞΗ 4 ΔΙΑΦΑΝΕΙΑ 1 A Brief History of Sampling Research 1915 - Edmund Taylor Whittaker (1873-1956) devised a

Διαβάστε περισσότερα

Congruence Classes of Invertible Matrices of Order 3 over F 2

Congruence Classes of Invertible Matrices of Order 3 over F 2 International Journal of Algebra, Vol. 8, 24, no. 5, 239-246 HIKARI Ltd, www.m-hikari.com http://dx.doi.org/.2988/ija.24.422 Congruence Classes of Invertible Matrices of Order 3 over F 2 Ligong An and

Διαβάστε περισσότερα

Αλγόριθμοι και πολυπλοκότητα Maximum Flow

Αλγόριθμοι και πολυπλοκότητα Maximum Flow ΕΛΛΗΝΙΚΗ ΔΗΜΟΚΡΑΤΙΑ ΠΑΝΕΠΙΣΤΗΜΙΟ ΚΡΗΤΗΣ Αλγόριθμοι και πολυπλοκότητα Maximm Flo Ιωάννης Τόλλης Τμήμα Επιστήμης Υπολογιστών Maximm Flo χ 3/5 4/6 4/7 1/9 3/5 5/11/2008 11:05 PM Maximm Flo 1 Oline and Reading

Διαβάστε περισσότερα

Commutative Monoids in Intuitionistic Fuzzy Sets

Commutative Monoids in Intuitionistic Fuzzy Sets Commutative Monoids in Intuitionistic Fuzzy Sets S K Mala #1, Dr. MM Shanmugapriya *2 1 PhD Scholar in Mathematics, Karpagam University, Coimbatore, Tamilnadu- 641021 Assistant Professor of Mathematics,

Διαβάστε περισσότερα

Matrices and Determinants

Matrices and Determinants Matrices and Determinants SUBJECTIVE PROBLEMS: Q 1. For what value of k do the following system of equations possess a non-trivial (i.e., not all zero) solution over the set of rationals Q? x + ky + 3z

Διαβάστε περισσότερα

ST5224: Advanced Statistical Theory II

ST5224: Advanced Statistical Theory II ST5224: Advanced Statistical Theory II 2014/2015: Semester II Tutorial 7 1. Let X be a sample from a population P and consider testing hypotheses H 0 : P = P 0 versus H 1 : P = P 1, where P j is a known

Διαβάστε περισσότερα

Approximation of the Lerch zeta-function

Approximation of the Lerch zeta-function Approximaion of he Lerch zea-funcion Ramūna Garunkši Deparmen of Mahemaic and Informaic Vilniu Univeriy Naugarduko 4 035 Vilniu Lihuania ramunagarunki@mafvul Abrac We conider uniform in parameer approximaion

Διαβάστε περισσότερα

Phys460.nb Solution for the t-dependent Schrodinger s equation How did we find the solution? (not required)

Phys460.nb Solution for the t-dependent Schrodinger s equation How did we find the solution? (not required) Phys460.nb 81 ψ n (t) is still the (same) eigenstate of H But for tdependent H. The answer is NO. 5.5.5. Solution for the tdependent Schrodinger s equation If we assume that at time t 0, the electron starts

Διαβάστε περισσότερα

EE512: Error Control Coding

EE512: Error Control Coding EE512: Error Control Coding Solution for Assignment on Finite Fields February 16, 2007 1. (a) Addition and Multiplication tables for GF (5) and GF (7) are shown in Tables 1 and 2. + 0 1 2 3 4 0 0 1 2 3

Διαβάστε περισσότερα

Other Test Constructions: Likelihood Ratio & Bayes Tests

Other Test Constructions: Likelihood Ratio & Bayes Tests Other Test Constructions: Likelihood Ratio & Bayes Tests Side-Note: So far we have seen a few approaches for creating tests such as Neyman-Pearson Lemma ( most powerful tests of H 0 : θ = θ 0 vs H 1 :

Διαβάστε περισσότερα

C.S. 430 Assignment 6, Sample Solutions

C.S. 430 Assignment 6, Sample Solutions C.S. 430 Assignment 6, Sample Solutions Paul Liu November 15, 2007 Note that these are sample solutions only; in many cases there were many acceptable answers. 1 Reynolds Problem 10.1 1.1 Normal-order

Διαβάστε περισσότερα

Sequent Calculi for the Modal µ-calculus over S5. Luca Alberucci, University of Berne. Logic Colloquium Berne, July 4th 2008

Sequent Calculi for the Modal µ-calculus over S5. Luca Alberucci, University of Berne. Logic Colloquium Berne, July 4th 2008 Sequent Calculi for the Modal µ-calculus over S5 Luca Alberucci, University of Berne Logic Colloquium Berne, July 4th 2008 Introduction Koz: Axiomatisation for the modal µ-calculus over K Axioms: All classical

Διαβάστε περισσότερα

Πανεπιστήµιο Κρήτης - Τµήµα Επιστήµης Υπολογιστών. ΗΥ-570: Στατιστική Επεξεργασία Σήµατος. ιδάσκων : Α. Μουχτάρης. εύτερη Σειρά Ασκήσεων.

Πανεπιστήµιο Κρήτης - Τµήµα Επιστήµης Υπολογιστών. ΗΥ-570: Στατιστική Επεξεργασία Σήµατος. ιδάσκων : Α. Μουχτάρης. εύτερη Σειρά Ασκήσεων. Πανεπιστήµιο Κρήτης - Τµήµα Επιστήµης Υπολογιστών ΗΥ-570: Στατιστική Επεξεργασία Σήµατος 2015 ιδάσκων : Α. Μουχτάρης εύτερη Σειρά Ασκήσεων Λύσεις Ασκηση 1. 1. Consder the gven expresson for R 1/2 : R 1/2

Διαβάστε περισσότερα

Approximation of distance between locations on earth given by latitude and longitude

Approximation of distance between locations on earth given by latitude and longitude Approximation of distance between locations on earth given by latitude and longitude Jan Behrens 2012-12-31 In this paper we shall provide a method to approximate distances between two points on earth

Διαβάστε περισσότερα

Every set of first-order formulas is equivalent to an independent set

Every set of first-order formulas is equivalent to an independent set Every set of first-order formulas is equivalent to an independent set May 6, 2008 Abstract A set of first-order formulas, whatever the cardinality of the set of symbols, is equivalent to an independent

Διαβάστε περισσότερα

Fractional Colorings and Zykov Products of graphs

Fractional Colorings and Zykov Products of graphs Fractional Colorings and Zykov Products of graphs Who? Nichole Schimanski When? July 27, 2011 Graphs A graph, G, consists of a vertex set, V (G), and an edge set, E(G). V (G) is any finite set E(G) is

Διαβάστε περισσότερα

Generalized Fibonacci-Like Polynomial and its. Determinantal Identities

Generalized Fibonacci-Like Polynomial and its. Determinantal Identities Int. J. Contemp. Math. Scences, Vol. 7, 01, no. 9, 1415-140 Generalzed Fbonacc-Le Polynomal and ts Determnantal Identtes V. K. Gupta 1, Yashwant K. Panwar and Ompraash Shwal 3 1 Department of Mathematcs,

Διαβάστε περισσότερα

Space-Time Symmetries

Space-Time Symmetries Chapter Space-Time Symmetries In classical fiel theory any continuous symmetry of the action generates a conserve current by Noether's proceure. If the Lagrangian is not invariant but only shifts by a

Διαβάστε περισσότερα

A NOTE ON ENNOLA RELATION. Jae Moon Kim and Jado Ryu* 1. INTRODUCTION

A NOTE ON ENNOLA RELATION. Jae Moon Kim and Jado Ryu* 1. INTRODUCTION TAIWANESE JOURNAL OF MATHEMATICS Vol 8, No 5, pp 65-66, Ocober 04 DOI: 0650/m804665 Th paper avalable ole a hp://ouralawamahocorw A NOTE ON ENNOLA RELATION Jae Moo Km ad Jado Ryu* Abrac Eola ve a example

Διαβάστε περισσότερα

Nowhere-zero flows Let be a digraph, Abelian group. A Γ-circulation in is a mapping : such that, where, and : tail in X, head in

Nowhere-zero flows Let be a digraph, Abelian group. A Γ-circulation in is a mapping : such that, where, and : tail in X, head in Nowhere-zero flows Let be a digraph, Abelian group. A Γ-circulation in is a mapping : such that, where, and : tail in X, head in : tail in X, head in A nowhere-zero Γ-flow is a Γ-circulation such that

Διαβάστε περισσότερα

4.6 Autoregressive Moving Average Model ARMA(1,1)

4.6 Autoregressive Moving Average Model ARMA(1,1) 84 CHAPTER 4. STATIONARY TS MODELS 4.6 Autoregressive Moving Average Model ARMA(,) This section is an introduction to a wide class of models ARMA(p,q) which we will consider in more detail later in this

Διαβάστε περισσότερα

On transformations groups of N linear connections on the dual bundle of k tangent bundle

On transformations groups of N linear connections on the dual bundle of k tangent bundle Sud Unv Babeş-Boya Mah 572012 o 1 121 133 On anfoaon goup of nea connecon on he dua bunde of k angen bunde Monca Pucau and Mea Tânoveanu bac In he peen pape we udy he anfoaon fo he coeffcen of an nea connecon

Διαβάστε περισσότερα

LECTURE 4 : ARMA PROCESSES

LECTURE 4 : ARMA PROCESSES LECTURE 4 : ARMA PROCESSES Movng-Average Processes The MA(q) process, s defned by (53) y(t) =µ ε(t)+µ 1 ε(t 1) + +µ q ε(t q) =µ(l)ε(t), where µ(l) =µ +µ 1 L+ +µ q L q and where ε(t) s whte nose An MA model

Διαβάστε περισσότερα

Section 8.3 Trigonometric Equations

Section 8.3 Trigonometric Equations 99 Section 8. Trigonometric Equations Objective 1: Solve Equations Involving One Trigonometric Function. In this section and the next, we will exple how to solving equations involving trigonometric functions.

Διαβάστε περισσότερα

Fourier Transform. Fourier Transform

Fourier Transform. Fourier Transform ECE 307 Z. Aliyziioglu Eleril & Compuer Engineering Dep. Cl Poly Pomon The Fourier rnsform (FT is he exension of he Fourier series o nonperiodi signls. The Fourier rnsform of signl exis if sisfies he following

Διαβάστε περισσότερα

Estimators when the Correlation Coefficient. is Negative

Estimators when the Correlation Coefficient. is Negative It J Cotemp Math Sceces, Vol 5, 00, o 3, 45-50 Estmators whe the Correlato Coeffcet s Negatve Sad Al Al-Hadhram College of Appled Sceces, Nzwa, Oma abur97@ahoocouk Abstract Rato estmators for the mea of

Διαβάστε περισσότερα

The Simply Typed Lambda Calculus

The Simply Typed Lambda Calculus Type Inference Instead of writing type annotations, can we use an algorithm to infer what the type annotations should be? That depends on the type system. For simple type systems the answer is yes, and

Διαβάστε περισσότερα

CNS.1 Compressible Navier-Stokes Time Averaged

CNS.1 Compressible Navier-Stokes Time Averaged CNS.1 Compressble Naver-Sokes Tme Averaged Insananeos flow conservaon prncples, compressble flow D M : L( ρ) = ρ + ( ρ ) = 0 x ρ D P : L( ρ ) = + ρ + pδ = 0 x D E : L( ρe) = ( ρe+ ρ / ) + ( ρh+ ρ / q)

Διαβάστε περισσότερα

Appendix. The solution begins with Eq. (2.15) from the text, which we repeat here for 1, (A.1)

Appendix. The solution begins with Eq. (2.15) from the text, which we repeat here for 1, (A.1) Aenix Aenix A: The equaion o he sock rice. The soluion egins wih Eq..5 rom he ex, which we reea here or convenience as Eq.A.: [ [ E E X, A. c α where X u ε, α γ, an c α y AR. Take execaions o Eq. A. as

Διαβάστε περισσότερα

= e 6t. = t 1 = t. 5 t 8L 1[ 1 = 3L 1 [ 1. L 1 [ π. = 3 π. = L 1 3s = L. = 3L 1 s t. = 3 cos(5t) sin(5t).

= e 6t. = t 1 = t. 5 t 8L 1[ 1 = 3L 1 [ 1. L 1 [ π. = 3 π. = L 1 3s = L. = 3L 1 s t. = 3 cos(5t) sin(5t). Worked Soluion 95 Chaper 25: The Invere Laplace Tranform 25 a From he able: L ] e 6 6 25 c L 2 ] ] L! + 25 e L 5 2 + 25] ] L 5 2 + 5 2 in(5) 252 a L 6 + 2] L 6 ( 2)] 6L ( 2)] 6e 2 252 c L 3 8 4] 3L ] 8L

Διαβάστε περισσότερα

ANSWERSHEET (TOPIC = DIFFERENTIAL CALCULUS) COLLECTION #2. h 0 h h 0 h h 0 ( ) g k = g 0 + g 1 + g g 2009 =?

ANSWERSHEET (TOPIC = DIFFERENTIAL CALCULUS) COLLECTION #2. h 0 h h 0 h h 0 ( ) g k = g 0 + g 1 + g g 2009 =? Teko Classes IITJEE/AIEEE Maths by SUHAAG SIR, Bhopal, Ph (0755) 3 00 000 www.tekoclasses.com ANSWERSHEET (TOPIC DIFFERENTIAL CALCULUS) COLLECTION # Question Type A.Single Correct Type Q. (A) Sol least

Διαβάστε περισσότερα

On Generating Relations of Some Triple. Hypergeometric Functions

On Generating Relations of Some Triple. Hypergeometric Functions It. Joural of Math. Aalysis, Vol. 5,, o., 5 - O Geeratig Relatios of Some Triple Hypergeometric Fuctios Fadhle B. F. Mohse ad Gamal A. Qashash Departmet of Mathematics, Faculty of Educatio Zigibar Ade

Διαβάστε περισσότερα

Formal Semantics. 1 Type Logic

Formal Semantics. 1 Type Logic Formal Semantics Principle of Compositionality The meaning of a sentence is determined by the meanings of its parts and the way they are put together. 1 Type Logic Types (a measure on expressions) The

Διαβάστε περισσότερα

A Class of Orthohomological Triangles

A Class of Orthohomological Triangles A Class of Orthohomologcal Trangles Prof. Claudu Coandă Natonal College Carol I Craova Romana. Prof. Florentn Smarandache Unversty of New Mexco Gallup USA Prof. Ion Pătraşcu Natonal College Fraţ Buzeşt

Διαβάστε περισσότερα

Concrete Mathematics Exercises from 30 September 2016

Concrete Mathematics Exercises from 30 September 2016 Concrete Mathematics Exercises from 30 September 2016 Silvio Capobianco Exercise 1.7 Let H(n) = J(n + 1) J(n). Equation (1.8) tells us that H(2n) = 2, and H(2n+1) = J(2n+2) J(2n+1) = (2J(n+1) 1) (2J(n)+1)

Διαβάστε περισσότερα

Trigonometric Formula Sheet

Trigonometric Formula Sheet Trigonometric Formula Sheet Definition of the Trig Functions Right Triangle Definition Assume that: 0 < θ < or 0 < θ < 90 Unit Circle Definition Assume θ can be any angle. y x, y hypotenuse opposite θ

Διαβάστε περισσότερα

On Hypersurface of Special Finsler Spaces. Admitting Metric Like Tensor Field

On Hypersurface of Special Finsler Spaces. Admitting Metric Like Tensor Field It J otem Mat Sceces Vo 7 0 o 9 99-98 O Hyersurface of Seca Fser Saces Admttg Metrc Lke Tesor Fed H Wosoug Deartmet of Matematcs Isamc Azad Uversty Babo Brac Ira md_vosog@yaoocom Abstract I te reset work

Διαβάστε περισσότερα

ECE145a / 218a Tuned Amplifier Design -basic gain relationships

ECE145a / 218a Tuned Amplifier Design -basic gain relationships ca note, M. Rodwe, copyrighted 009 ECE45a / 8a uned Ampifier Deign -aic ga reationhip -deign the (impe) uniatera imit it Mark Rodwe Univerity of Caifornia, anta Barara rodwe@ece.uc.edu 805-893-344, 805-893-36

Διαβάστε περισσότερα

Strain gauge and rosettes

Strain gauge and rosettes Strain gauge and rosettes Introduction A strain gauge is a device which is used to measure strain (deformation) on an object subjected to forces. Strain can be measured using various types of devices classified

Διαβάστε περισσότερα

Second Order RLC Filters

Second Order RLC Filters ECEN 60 Circuits/Electronics Spring 007-0-07 P. Mathys Second Order RLC Filters RLC Lowpass Filter A passive RLC lowpass filter (LPF) circuit is shown in the following schematic. R L C v O (t) Using phasor

Διαβάστε περισσότερα

Cyclic or elementary abelian Covers of K 4

Cyclic or elementary abelian Covers of K 4 Cyclic or elementary abelian Covers of K 4 Yan-Quan Feng Mathematics, Beijing Jiaotong University Beijing 100044, P.R. China Summer School, Rogla, Slovenian 2011-06 Outline 1 Question 2 Main results 3

Διαβάστε περισσότερα

On Strong Product of Two Fuzzy Graphs

On Strong Product of Two Fuzzy Graphs Inernaional Journal of Scienific and Research Publicaions, Volume 4, Issue 10, Ocober 014 1 ISSN 50-3153 On Srong Produc of Two Fuzzy Graphs Dr. K. Radha* Mr.S. Arumugam** * P.G & Research Deparmen of

Διαβάστε περισσότερα

INTEGRAL INEQUALITY REGARDING r-convex AND

INTEGRAL INEQUALITY REGARDING r-convex AND J Koren Mth Soc 47, No, pp 373 383 DOI 434/JKMS47373 INTEGRAL INEQUALITY REGARDING r-convex AND r-concave FUNCTIONS WdAllh T Sulimn Astrct New integrl inequlities concerning r-conve nd r-concve functions

Διαβάστε περισσότερα

1. Introduction and Preliminaries.

1. Introduction and Preliminaries. Faculty of Sciences and Mathematics, University of Niš, Serbia Available at: http://www.pmf.ni.ac.yu/filomat Filomat 22:1 (2008), 97 106 ON δ SETS IN γ SPACES V. Renuka Devi and D. Sivaraj Abstract We

Διαβάστε περισσότερα

Mock Exam 7. 1 Hong Kong Educational Publishing Company. Section A 1. Reference: HKDSE Math M Q2 (a) (1 + kx) n 1M + 1A = (1) =

Mock Exam 7. 1 Hong Kong Educational Publishing Company. Section A 1. Reference: HKDSE Math M Q2 (a) (1 + kx) n 1M + 1A = (1) = Mock Eam 7 Mock Eam 7 Section A. Reference: HKDSE Math M 0 Q (a) ( + k) n nn ( )( k) + nk ( ) + + nn ( ) k + nk + + + A nk... () nn ( ) k... () From (), k...() n Substituting () into (), nn ( ) n 76n 76n

Διαβάστε περισσότερα

Distances in Sierpiński Triangle Graphs

Distances in Sierpiński Triangle Graphs Distances in Sierpiński Triangle Graphs Sara Sabrina Zemljič joint work with Andreas M. Hinz June 18th 2015 Motivation Sierpiński triangle introduced by Wac law Sierpiński in 1915. S. S. Zemljič 1 Motivation

Διαβάστε περισσότερα

2 Composition. Invertible Mappings

2 Composition. Invertible Mappings Arkansas Tech University MATH 4033: Elementary Modern Algebra Dr. Marcel B. Finan Composition. Invertible Mappings In this section we discuss two procedures for creating new mappings from old ones, namely,

Διαβάστε περισσότερα

Bessel function for complex variable

Bessel function for complex variable Besse fuctio for compex variabe Kauhito Miuyama May 4, 7 Besse fuctio The Besse fuctio Z ν () is the fuctio wich satisfies + ) ( + ν Z ν () =. () Three kids of the soutios of this equatio are give by {

Διαβάστε περισσότερα

Σχολή Εφαρμοσμένων Μαθηματικών και Φυσικών Επιστημών. Εθνικό Μετσόβιο Πολυτεχνείο. Thales Workshop, 1-3 July 2015.

Σχολή Εφαρμοσμένων Μαθηματικών και Φυσικών Επιστημών. Εθνικό Μετσόβιο Πολυτεχνείο. Thales Workshop, 1-3 July 2015. Σχολή Εφαρμοσμένων Μαθηματικών και Φυσικών Επιστημών Εθνικό Μετσόβιο Πολυτεχνείο Thles Worksho, 1-3 July 015 The isomorhism function from S3(L(,1)) to the free module Boštjn Gbrovšek Άδεια Χρήσης Το παρόν

Διαβάστε περισσότερα

Problem Set 3: Solutions

Problem Set 3: Solutions CMPSCI 69GG Applied Information Theory Fall 006 Problem Set 3: Solutions. [Cover and Thomas 7.] a Define the following notation, C I p xx; Y max X; Y C I p xx; Ỹ max I X; Ỹ We would like to show that C

Διαβάστε περισσότερα

A Note on Intuitionistic Fuzzy. Equivalence Relation

A Note on Intuitionistic Fuzzy. Equivalence Relation International Mathematical Forum, 5, 2010, no. 67, 3301-3307 A Note on Intuitionistic Fuzzy Equivalence Relation D. K. Basnet Dept. of Mathematics, Assam University Silchar-788011, Assam, India dkbasnet@rediffmail.com

Διαβάστε περισσότερα

Jordan Form of a Square Matrix

Jordan Form of a Square Matrix Jordan Form of a Square Matrix Josh Engwer Texas Tech University josh.engwer@ttu.edu June 3 KEY CONCEPTS & DEFINITIONS: R Set of all real numbers C Set of all complex numbers = {a + bi : a b R and i =

Διαβάστε περισσότερα

Lanczos and biorthogonalization methods for eigenvalues and eigenvectors of matrices

Lanczos and biorthogonalization methods for eigenvalues and eigenvectors of matrices Lanzos and iorthogonalization methods for eigenvalues and eigenvetors of matries rolem formulation Many prolems are redued to solving the following system: x x where is an unknown numer А a matrix n n

Διαβάστε περισσότερα

Lecture 2. Soundness and completeness of propositional logic

Lecture 2. Soundness and completeness of propositional logic Lecture 2 Soundness and completeness of propositional logic February 9, 2004 1 Overview Review of natural deduction. Soundness and completeness. Semantics of propositional formulas. Soundness proof. Completeness

Διαβάστε περισσότερα

6.1. Dirac Equation. Hamiltonian. Dirac Eq.

6.1. Dirac Equation. Hamiltonian. Dirac Eq. 6.1. Dirac Equation Ref: M.Kaku, Quantum Field Theory, Oxford Univ Press (1993) η μν = η μν = diag(1, -1, -1, -1) p 0 = p 0 p = p i = -p i p μ p μ = p 0 p 0 + p i p i = E c 2 - p 2 = (m c) 2 H = c p 2

Διαβάστε περισσότερα

Fourier Series. MATH 211, Calculus II. J. Robert Buchanan. Spring Department of Mathematics

Fourier Series. MATH 211, Calculus II. J. Robert Buchanan. Spring Department of Mathematics Fourier Series MATH 211, Calculus II J. Robert Buchanan Department of Mathematics Spring 2018 Introduction Not all functions can be represented by Taylor series. f (k) (c) A Taylor series f (x) = (x c)

Διαβάστε περισσότερα

Lecture 2: Dirac notation and a review of linear algebra Read Sakurai chapter 1, Baym chatper 3

Lecture 2: Dirac notation and a review of linear algebra Read Sakurai chapter 1, Baym chatper 3 Lecture 2: Dirac notation and a review of linear algebra Read Sakurai chapter 1, Baym chatper 3 1 State vector space and the dual space Space of wavefunctions The space of wavefunctions is the set of all

Διαβάστε περισσότερα

SCHOOL OF MATHEMATICAL SCIENCES G11LMA Linear Mathematics Examination Solutions

SCHOOL OF MATHEMATICAL SCIENCES G11LMA Linear Mathematics Examination Solutions SCHOOL OF MATHEMATICAL SCIENCES GLMA Linear Mathematics 00- Examination Solutions. (a) i. ( + 5i)( i) = (6 + 5) + (5 )i = + i. Real part is, imaginary part is. (b) ii. + 5i i ( + 5i)( + i) = ( i)( + i)

Διαβάστε περισσότερα

SCITECH Volume 13, Issue 2 RESEARCH ORGANISATION Published online: March 29, 2018

SCITECH Volume 13, Issue 2 RESEARCH ORGANISATION Published online: March 29, 2018 Journal of rogressive Research in Mathematics(JRM) ISSN: 2395-028 SCITECH Volume 3, Issue 2 RESEARCH ORGANISATION ublished online: March 29, 208 Journal of rogressive Research in Mathematics www.scitecresearch.com/journals

Διαβάστε περισσότερα

CHAPTER 25 SOLVING EQUATIONS BY ITERATIVE METHODS

CHAPTER 25 SOLVING EQUATIONS BY ITERATIVE METHODS CHAPTER 5 SOLVING EQUATIONS BY ITERATIVE METHODS EXERCISE 104 Page 8 1. Find the positive root of the equation x + 3x 5 = 0, correct to 3 significant figures, using the method of bisection. Let f(x) =

Διαβάστε περισσότερα

Affine Weyl Groups. Gabriele Nebe. Summerschool GRK 1632, September Lehrstuhl D für Mathematik

Affine Weyl Groups. Gabriele Nebe. Summerschool GRK 1632, September Lehrstuhl D für Mathematik Affine Weyl Groups Gabriele Nebe Lehrstuhl D für Mathematik Summerschool GRK 1632, September 2015 Crystallographic root systems. Definition A crystallographic root system Φ is a finite set of non zero

Διαβάστε περισσότερα

Chapter 3: Ordinal Numbers

Chapter 3: Ordinal Numbers Chapter 3: Ordinal Numbers There are two kinds of number.. Ordinal numbers (0th), st, 2nd, 3rd, 4th, 5th,..., ω, ω +,... ω2, ω2+,... ω 2... answers to the question What position is... in a sequence? What

Διαβάστε περισσότερα

Reminders: linear functions

Reminders: linear functions Reminders: linear functions Let U and V be vector spaces over the same field F. Definition A function f : U V is linear if for every u 1, u 2 U, f (u 1 + u 2 ) = f (u 1 ) + f (u 2 ), and for every u U

Διαβάστε περισσότερα

3.4 SUM AND DIFFERENCE FORMULAS. NOTE: cos(α+β) cos α + cos β cos(α-β) cos α -cos β

3.4 SUM AND DIFFERENCE FORMULAS. NOTE: cos(α+β) cos α + cos β cos(α-β) cos α -cos β 3.4 SUM AND DIFFERENCE FORMULAS Page Theorem cos(αβ cos α cos β -sin α cos(α-β cos α cos β sin α NOTE: cos(αβ cos α cos β cos(α-β cos α -cos β Proof of cos(α-β cos α cos β sin α Let s use a unit circle

Διαβάστε περισσότερα

w o = R 1 p. (1) R = p =. = 1

w o = R 1 p. (1) R = p =. = 1 Πανεπιστήµιο Κρήτης - Τµήµα Επιστήµης Υπολογιστών ΗΥ-570: Στατιστική Επεξεργασία Σήµατος 205 ιδάσκων : Α. Μουχτάρης Τριτη Σειρά Ασκήσεων Λύσεις Ασκηση 3. 5.2 (a) From the Wiener-Hopf equation we have:

Διαβάστε περισσότερα

Managing Production-Inventory Systems with Scarce Resources

Managing Production-Inventory Systems with Scarce Resources Managing Producion-Invenory Sysems wih Scarce Resources Online Supplemen Proof of Lemma 1: Consider he following dynamic program: where ḡ (x, z) = max { cy + E f (y, z, D)}, (7) x y min(x+u,z) f (y, z,

Διαβάστε περισσότερα

If ABC is any oblique triangle with sides a, b, and c, the following equations are valid. 2bc. (a) a 2 b 2 c 2 2bc cos A or cos A b2 c 2 a 2.

If ABC is any oblique triangle with sides a, b, and c, the following equations are valid. 2bc. (a) a 2 b 2 c 2 2bc cos A or cos A b2 c 2 a 2. etion 6. Lw of osines 59 etion 6. Lw of osines If is ny oblique tringle with sides, b, nd, the following equtions re vlid. () b b os or os b b (b) b os or os b () b b os or os b b You should be ble to

Διαβάστε περισσότερα

Oscillatory integrals

Oscillatory integrals Oscilltory integrls Jordn Bell jordn.bell@gmil.com Deprtment of Mthemtics, University of Toronto August, 0 Oscilltory integrls Suppose tht Φ C R d ), ψ DR d ), nd tht Φ is rel-vlued. I : 0, ) C by Iλ)

Διαβάστε περισσότερα

Coefficient Inequalities for a New Subclass of K-uniformly Convex Functions

Coefficient Inequalities for a New Subclass of K-uniformly Convex Functions International Journal of Computational Science and Mathematics. ISSN 0974-89 Volume, Number (00), pp. 67--75 International Research Publication House http://www.irphouse.com Coefficient Inequalities for

Διαβάστε περισσότερα

Galatia SIL Keyboard Information

Galatia SIL Keyboard Information Galatia SIL Keyboard Information Keyboard ssignments The main purpose of the keyboards is to provide a wide range of keying options, so many characters can be entered in multiple ways. If you are typing

Διαβάστε περισσότερα

Abstract Storage Devices

Abstract Storage Devices Abstract Storage Devices Robert König Ueli Maurer Stefano Tessaro SOFSEM 2009 January 27, 2009 Outline 1. Motivation: Storage Devices 2. Abstract Storage Devices (ASD s) 3. Reducibility 4. Factoring ASD

Διαβάστε περισσότερα

Practice Exam 2. Conceptual Questions. 1. State a Basic identity and then verify it. (a) Identity: Solution: One identity is csc(θ) = 1

Practice Exam 2. Conceptual Questions. 1. State a Basic identity and then verify it. (a) Identity: Solution: One identity is csc(θ) = 1 Conceptual Questions. State a Basic identity and then verify it. a) Identity: Solution: One identity is cscθ) = sinθ) Practice Exam b) Verification: Solution: Given the point of intersection x, y) of the

Διαβάστε περισσότερα

From the finite to the transfinite: Λµ-terms and streams

From the finite to the transfinite: Λµ-terms and streams From the finite to the transfinite: Λµ-terms and streams WIR 2014 Fanny He f.he@bath.ac.uk Alexis Saurin alexis.saurin@pps.univ-paris-diderot.fr 12 July 2014 The Λµ-calculus Syntax of Λµ t ::= x λx.t (t)u

Διαβάστε περισσότερα

( )( ) La Salle College Form Six Mock Examination 2013 Mathematics Compulsory Part Paper 2 Solution

( )( ) La Salle College Form Six Mock Examination 2013 Mathematics Compulsory Part Paper 2 Solution L Slle ollege Form Si Mock Emintion 0 Mthemtics ompulsor Prt Pper Solution 6 D 6 D 6 6 D D 7 D 7 7 7 8 8 8 8 D 9 9 D 9 D 9 D 5 0 5 0 5 0 5 0 D 5. = + + = + = = = + = =. D The selling price = $ ( 5 + 00)

Διαβάστε περισσότερα

The Probabilistic Method - Probabilistic Techniques. Lecture 7: The Janson Inequality

The Probabilistic Method - Probabilistic Techniques. Lecture 7: The Janson Inequality The Probabilistic Method - Probabilistic Techniques Lecture 7: The Janson Inequality Sotiris Nikoletseas Associate Professor Computer Engineering and Informatics Department 2014-2015 Sotiris Nikoletseas,

Διαβάστε περισσότερα

Inverse trigonometric functions & General Solution of Trigonometric Equations. ------------------ ----------------------------- -----------------

Inverse trigonometric functions & General Solution of Trigonometric Equations. ------------------ ----------------------------- ----------------- Inverse trigonometric functions & General Solution of Trigonometric Equations. 1. Sin ( ) = a) b) c) d) Ans b. Solution : Method 1. Ans a: 17 > 1 a) is rejected. w.k.t Sin ( sin ) = d is rejected. If sin

Διαβάστε περισσότερα

Uniform Convergence of Fourier Series Michael Taylor

Uniform Convergence of Fourier Series Michael Taylor Uniform Convergence of Fourier Series Michael Taylor Given f L 1 T 1 ), we consider the partial sums of the Fourier series of f: N 1) S N fθ) = ˆfk)e ikθ. k= N A calculation gives the Dirichlet formula

Διαβάστε περισσότερα

No No No No No.5. No

No No No No No.5. No 0-1 0-2 0-3 0-4 No. 1 1-1 No.2 2-1 No.3 3-1 No.4 4-1 No.5 No.30 30-1 Tokyo) (m) (cm) /ha 1 1062 101 36 58 48 / 139 19 44 1631 3095 375 10.1 ( 1,380 11 N80E dbd 9/17 8/27 2 1062 101 36 58 43 / 139 19 06

Διαβάστε περισσότερα

APPENDIX A DERIVATION OF JOINT FAILURE DENSITIES

APPENDIX A DERIVATION OF JOINT FAILURE DENSITIES APPENDIX A DERIVAION OF JOIN FAILRE DENSIIES I his Appedi we prese he derivaio o he eample ailre models as show i Chaper 3. Assme ha he ime ad se o ailre are relaed by he cio g ad he sochasic are o his

Διαβάστε περισσότερα

Lecture 12 Modulation and Sampling

Lecture 12 Modulation and Sampling EE 2 spring 2-22 Handou #25 Lecure 2 Modulaion and Sampling The Fourier ransform of he produc of wo signals Modulaion of a signal wih a sinusoid Sampling wih an impulse rain The sampling heorem 2 Convoluion

Διαβάστε περισσότερα

Vidyamandir Classes. Solutions to Revision Test Series - 2/ ACEG / IITJEE (Mathematics) = 2 centre = r. a

Vidyamandir Classes. Solutions to Revision Test Series - 2/ ACEG / IITJEE (Mathematics) = 2 centre = r. a Per -.(D).() Vdymndr lsses Solutons to evson est Seres - / EG / JEE - (Mthemtcs) Let nd re dmetrcl ends of crcle Let nd D re dmetrcl ends of crcle Hence mnmum dstnce s. y + 4 + 4 6 Let verte (h, k) then

Διαβάστε περισσότερα

( )( ) ( ) ( )( ) ( )( ) β = Chapter 5 Exercise Problems EX α So 49 β 199 EX EX EX5.4 EX5.5. (a)

( )( ) ( ) ( )( ) ( )( ) β = Chapter 5 Exercise Problems EX α So 49 β 199 EX EX EX5.4 EX5.5. (a) hapter 5 xercise Problems X5. α β α 0.980 For α 0.980, β 49 0.980 0.995 For α 0.995, β 99 0.995 So 49 β 99 X5. O 00 O or n 3 O 40.5 β 0 X5.3 6.5 μ A 00 β ( 0)( 6.5 μa) 8 ma 5 ( 8)( 4 ) or.88 P on + 0.0065

Διαβάστε περισσότερα

Reflection Models. Reflection Models

Reflection Models. Reflection Models Reflecon Models Today Types of eflecon models The BRDF and eflecance The eflecon equaon Ideal eflecon and efacon Fesnel effec Ideal dffuse Thusday Glossy and specula eflecon models Rough sufaces and mcofaces

Διαβάστε περισσότερα

J. of Math. (PRC) u(t k ) = I k (u(t k )), k = 1, 2,, (1.6) , [3, 4] (1.1), (1.2), (1.3), [6 8]

J. of Math. (PRC) u(t k ) = I k (u(t k )), k = 1, 2,, (1.6) , [3, 4] (1.1), (1.2), (1.3), [6 8] Vol 36 ( 216 ) No 3 J of Mah (PR) 1, 2, 3 (1, 4335) (2, 4365) (3, 431) :,,,, : ; ; ; MR(21) : 35A1; 35A2 : O17529 : A : 255-7797(216)3-591-7 1 d d [x() g(, x )] = f(, x ),, (11) x = ϕ(), [ r, ], (12) x(

Διαβάστε περισσότερα

A Lambda Model Characterizing Computational Behaviours of Terms

A Lambda Model Characterizing Computational Behaviours of Terms A Lambda Model Characterizing Computational Behaviours of Terms joint paper with Silvia Ghilezan RPC 01, Sendai, October 26, 2001 1 Plan of the talk normalization properties inverse limit model Stone dualities

Διαβάστε περισσότερα

EE101: Resonance in RLC circuits

EE101: Resonance in RLC circuits EE11: Resonance in RLC circuits M. B. Patil mbatil@ee.iitb.ac.in www.ee.iitb.ac.in/~sequel Deartment of Electrical Engineering Indian Institute of Technology Bombay I V R V L V C I = I m = R + jωl + 1/jωC

Διαβάστε περισσότερα

Jesse Maassen and Mark Lundstrom Purdue University November 25, 2013

Jesse Maassen and Mark Lundstrom Purdue University November 25, 2013 Notes on Average Scattering imes and Hall Factors Jesse Maassen and Mar Lundstrom Purdue University November 5, 13 I. Introduction 1 II. Solution of the BE 1 III. Exercises: Woring out average scattering

Διαβάστε περισσότερα

Section 9.2 Polar Equations and Graphs

Section 9.2 Polar Equations and Graphs 180 Section 9. Polar Equations and Graphs In this section, we will be graphing polar equations on a polar grid. In the first few examples, we will write the polar equation in rectangular form to help identify

Διαβάστε περισσότερα

DuPont Suva 95 Refrigerant

DuPont Suva 95 Refrigerant Technical Information T-95 ENG DuPont Suva refrigerants Thermodynamic Properties of DuPont Suva 95 Refrigerant (R-508B) The DuPont Oval Logo, The miracles of science, and Suva, are trademarks or registered

Διαβάστε περισσότερα

derivation of the Laplacian from rectangular to spherical coordinates

derivation of the Laplacian from rectangular to spherical coordinates derivation of the Laplacian from rectangular to spherical coordinates swapnizzle 03-03- :5:43 We begin by recognizing the familiar conversion from rectangular to spherical coordinates (note that φ is used

Διαβάστε περισσότερα

( ) ( ) ( ) Fourier series. ; m is an integer. r(t) is periodic (T>0), r(t+t) = r(t), t Fundamental period T 0 = smallest T. Fundamental frequency ω

( ) ( ) ( ) Fourier series. ; m is an integer. r(t) is periodic (T>0), r(t+t) = r(t), t Fundamental period T 0 = smallest T. Fundamental frequency ω Fourier series e jm when m d when m ; m is an ineger. jm jm jm jm e d e e e jm jm jm jm r( is periodi (>, r(+ r(, Fundamenal period smalles Fundamenal frequeny r ( + r ( is periodi hen M M e j M, e j,

Διαβάστε περισσότερα