ON CONVERGENCE THEOREMS FOR FUZZY HENSTOCK INTEGRALS

Μέγεθος: px
Εμφάνιση ξεκινά από τη σελίδα:

Download "ON CONVERGENCE THEOREMS FOR FUZZY HENSTOCK INTEGRALS"

Transcript

1 Irnin Journl of Fuzzy Systems Vol. 14, No. 6, 2017 pp ON CONVERGENCE THEOREMS FOR FUZZY HENSTOCK INTEGRALS B. M. UZZAL AFSAN Abstrct. The min purpose of this pper is to estblish different types of convergence theorems for fuzzy Henstock integrble functions, introduced by Wu nd Gong [12]. In fct, we hve proved fuzzy uniform convergence theorem, convergence theorem for fuzzy uniform Henstock integrble functions nd fuzzy monotone convergence theorem. Finlly, necessry nd sufficient condition under which the point-wise limit of sequence of fuzzy Henstock integrble functions is fuzzy Henstock integrble hs been estblished. 1. Introduction The concept of Henstock integrtion =guge integrtion for rel-vlued functions ws introduced by Henstock [8] nd Kurzweil [9] independently nd is considered s one of the powerful integrtion theory in modern dys. It not only generlizes the concepts of Riemnn integrtion s well s Lebesgue integrtion but lso is equivlent to the Denjoy integrtion nd Perron integrtion of rel vlued functions. In ddition, this integrtion theory stisfies most of the desired properties of integrl. Becuse of growing importnce, generliztion of such concept in fuzzy setting is lmost inevitble; in fct, in 2001, the concept of Henstock integrl ws fuzzyfied by Wu nd Gong [12]. Some recent works relted to fuzzy Henstock integrls re found in literture in the form of published ppers of Bongiorno nd Pizz [2], Gong nd Wng [6] nd Musi l [11]. As convergence theory is one of the fundmentl concepts in mesure theory nd hs vrious pplictions in integrtion theory s well, we re tempted to estblish some convergence theorems for the fuzzy Henstock integrble functions. In fct, we hve proved fuzzy uniform convergence theorem, convergence theorem for fuzzy uniform Henstock integrble functions nd fuzzy monotone convergence theorem. At the end, we hve given necessry nd sufficient condition under which the point-wise limit of sequence of fuzzy Henstock integrble functions is fuzzy Henstock integrble. It is to be mentioned tht, if {ψ k } is sequence of fuzzy Henstock integrble functions on [, b] which pointwise converges to ψ : [, b] E 1 in the metric spce Received: December 2015; Revised: December 2016; Accepted: April 2017 Key words nd phrses: Fuzzy number, Fuzzy number function, Fuzzy Henstock integrl, Fuzzy monotone sequence.

2 88 B. M. Uzzl Afsn E 1,, then limh is not true in generl see Exmple 3.1. ψ k = H ψ. 2. Preliminries Throughout this pper, symbols R, R + nd N stnd for the rel line with usul topology, the set of ll positive rel numbers nd the set of ll positive integers respectively. For ny two given sets A nd B, B A denotes the set of ll mppings with domin A nd codomin B. Definition 2.1. A mpping α [0, 1] R is clled fuzzy number if i α is norml, i.e. αr = 1 for some r R, ii α is convex, i.e. αλr λr 2 min{αr 1, αr 2 } for ll r 1, r 2 R nd λ [0, 1], iii α is semi-continuous, i.e. for every λ [0, 1], the set {x R : αx λ} is closed, iv cl[α] 0 = cl{x R : αx > 0} is compct, where cla is the closure of A R. The set of ll fuzzy numbers is denoted by E 1. Let α E 1. Then Wu nd Ming [13] showed tht for ech λ 0, 1], [α] λ = {x R : αx λ} is closed nd bounded intervl nd [α] 1. For ech λ 0, 1], let [α] λ = [α λ 1, α λ 2 ]. Goetschel nd Voxmn [3] estblished the following lemm. Lemm 2.2. [3] Let α 1, α 2 R [0,1] be two mpping sending ech λ [0, 1] to α 1 λ = α λ 1 nd α 2 λ = α λ 2 respectively with the properties: i α 1 is bounded incresing function, ii α 2 is bounded decresing function, iii α 1 1 α 2 1 nd iv α 1 nd α 2 re both left continuous on 0, 1] nd right continuous t 0. Then there exists unique fuzzy number α E 1 such tht [α] λ = [α λ 1, α λ 2 ] for ech λ [0, 1]. Let Ω = { = [, ā] :, ā R, ā} be the fmily of ll bounded closed intervls. Let, b Ω. We define i = b if nd only if = b, ā = b, ii b if nd only if b, ā b, iii + b = [, ā] + [b, b] = [ + b, ā + b], iv.b = {st : s, t b}, v.b = min{.b,. b, ā.b, ā. b}, vi.b = mx{.b,. b, ā.b, ā. b}.

3 On Convergence Theorems for Fuzzy Henstock Integrls 89 Here we observe tht is prtil order in Ω nd the mpping ρ : Ω Ω R defined by ρ, b = mx{ b, ā b } for ll, b Ω is metric clled Husdorff metric on Ω. Now it is esy to verify tht the mpping : E 1 E 1 R defined by α, β = sup{ρ[α] λ, [β] λ : λ [0, 1]} for ll α, β E 1 is metric on E 1. The results of the following theorem hve been used frequently in this pper. Theorem 2.3. [7, 10, 13] i E 1, is complete metric spce. ii α + γ, β + γ = α, β for ll α, β, γ E 1. iii λα, λβ = λ α, β for ll α, β E 1 nd λ R. iv α + γ, β + η α, β + γ, η for ll α, β, γ, η E 1. v α + β, θ α, θ + β, θ for ll α, β E 1 nd θ is the chrcteristic function of zero. vi α + β, γ α, γ + β, θ for ll α, β, γ E 1. vii If α, β, γ E 1, α, β α, γ nd β, γ α, γ. Definition 2.4. [8] A tgged prtition of [, b] consist of prtition Σ = {x 0, x 1, x 2,..., x i 1, x i,..., x n}, where = x 0 < x 1 < x 2 <... < x i 1 < x i,... < x n = b of [, b] nd ξ = {ξ i : i = 1, 2,..., n}, where ξ i [x i 1, x i ], i = 1, 2,..., n nd it is denoted by Σ, ξ. Also let σ i = ξ i ξ i 1, i = 1, 2,..., n. Let δ R [,b] +, Σ = {x 0, x 1, x 2,..., x i 1, x i,..., x n } [, b] nd ξ = {ξ i : i = 1, 2,..., n}, where ξ i [x i 1, x i ] for ech i = 1, 2,..., n. i The pir Σ, ξ is clled δ-fine division of [, b] if = x 0 < x 1 < x 2 <... < x i 1 < x i,... < x n = b nd [x i 1, x i ] ξ i δξ i, ξ i + δξ i. ii The pir Σ, ξ is clled δ-fine subdivision of [, b] if x 0 x 1 x 2... x i 1 x i,... < x n b nd [x i 1, x i ] ξ i δξ i, ξ i + δξ i. Now we recll the definition of Henstock integrl [8] for function ψ R [,b]. Definition 2.5. [8] A mpping ψ R [,b] is clled Henstock integrble on [, b] with rel vlue l if for ech ε > 0, there exists δ R [,b] + such tht n ψξ iσ i l < ε for every δ-fine division Σ, ξ of [, b]. Any function ψ E 1[,b] is clled fuzzy function defined on [, b]. Wu nd Gong introduced the notion of fuzzy Henstock integrl of fuzzy function defined on closed intervl [, b]. Definition 2.6. A fuzzy function ψ defined on [, b] is clled fuzzy Henstock integrble [12] on [, b] with vlue α E 1 if for ech ε > 0, there exists δ R [,b] + such tht n ψξ iσ i, α < ε for every δ-fine division Σ, ξ of [, b]. In symbol, we write or H ψ = α H ψ = α [,b]

4 90 B. M. Uzzl Afsn if it exists. Here α is clled Henstock integrl vlue of ψ on [, b]. The set of ll fuzzy Henstock integrble fuzzy functions defined on [, b] is denoted by F H[, b]. Wu nd Gong [12] hve chieved the following bsic results of fuzzy Henstock integrble function. Theorem 2.7. [12] Let ψ, ψ 1, ψ 2 E 1[,b]. Then i If H ψ exists, then its vlue is unique. ii ψ F H[, b] if nd only if for ech ε > 0, there exists δ R [,b] + such tht ll δ-fine divisions Σ, ξ nd Σ, ξ of [, b] stisfy n m ψξ i σ i, ψξ iσ i < ε. iii If ψ 1, ψ 2 F H[, b], then H iv If ψ F H[, b], then for ny λ R. ψ 1 + ψ 2 = H H λψ = λh ψ 1 + H v If ψ F H[, b] nd [c, d] [, b], then ψ F H[c, d]. vi If c [, b], ψ F H[, c] nd ψ F H[c, b], then ψ F H[, b] with H ψ = H c vii If ψ = θ lmost everywhere on [,b], then H ψ + H ψ = θ. viii If ψ = φ lmost everywhere on [,b], then H ψ = H Let µ be rel constnt, i.e. µ R. Then define µ : R [0, 1] by { 1 if x = µ µx = 0 if x µ Clerly, µ E 1. Thus rel number cn be viewed s fuzzy number in this wy. For α, β E 1, we define the reltion α β if nd only if αx βx for ll x R. Zhng Gung-Qun [7] introduced the concepts of bounds of set of fuzzy numbers. φ. ψ d c ψ. ψ 2.

5 On Convergence Theorems for Fuzzy Henstock Integrls 91 Definition 2.8. [7] A fuzzy number α 0 E 1 is clled the lest upper bound or suprimum of A E 1 if i α α 0 for ll α A i.e. α is n upper bound of A nd ii for ny ε > 0, there exists t lest one β A such tht α 0 < β + ε. We write α 0 = sup A. Similrly, the gretest lower bound or infimum [7] of A E 1 hs been defined nd is denoted by inf A. A sequence {α k }, α k E 1 is sid to be monotoniclly incresing resp. monotoniclly decresing [7] if α k α k+1 resp. α k+1 α k for ll k N. Zhng Gung-Qun [7] estblished the following simple but importnt theorem. Theorem 2.9. [7] Every monotoniclly incresing resp. monotoniclly decresing sequence {α k }, α k E 1 with n upper bound resp. lower bound converges to sup{α k : k N} resp. inf{α k : k N} in the metric spce E 1,. 3. Convergence Theorems Let {ψ k } be sequence of fuzzy Henstock integrble functions in E 1[,b] tht fuzzy converges to the fuzzy function ψ E 1[,b] in the metric spce E 1,. It is quite nturl to expect tht ψ F H[, b] nd H ψ = limh ψ k. But the following exmple shows tht this is not true in generl. Exmple 3.1. For ech k N, let A k = 0, 1 k nd define φ k : [0, 1] E 1 by { λ if t Ak φ k t = θ if t A k where λ E 1 is defined by { 1 if x = 1 λx = 0 if x 1. Now consider for ech k N, ψ k = k φ k. Since ech φ k is step function hving only two discontinuities 0 nd 1 k, clerly φ k F H[0, 1] nd so by Theorem 2.7, for ech k N, ψ k F H[0, 1]. Now by Theorem 2.7, H 1 0 ψ k = H 1 k 0 = k H ψ k + H 1 k Using Riemnn type sum, it is esy to verify tht 1 k ψ k 1 k φ k + θ = k H λ = λ 1 k. 1 k 0 λ.

6 92 B. M. Uzzl Afsn So H 1 0 ψ k = λ. Now consider the fuzzy function ψ : [0, 1] E 1 defined by ψt = θ for ll t [0, 1]. Then {ψ k } fuzzy converges to the fuzzy function ψ E 1[,b] in the metric spce E 1, nd by vii of Theorem 2.7, Thus H H 1 0 ψ = θ. ψ limh The min purpose of this pper is to estblish some sufficient conditions such tht the limit ψ E 1[,b] of sequence {ψ k } of fuzzy Henstock integrble functions in E 1[,b] is fuzzy Henstock integrble on [, b] nd H ψ = limh Definition 3.2. A sequence {ψ k } in E 1[,b] is sid to be fuzzy uniformly converge to ψ E 1[,b] on [, b] if for ech ε > 0, there exists k 0 N such tht ψ k x, ψx < ε for ll k k 0 nd for ll x [, b]. Theorem 3.3. Fuzzy uniform convergence theorem. Let {ψ k } be sequence of fuzzy Henstock integrble functions in E 1[,b] tht fuzzy uniformly converges to the fuzzy function ψ E 1[,b]. Then i ψ is Henstock integrble on [, b] nd ii H ψ = limh Proof. First we shll show tht {H ψ k} is Cuchy sequence in E 1,. Let ε > 0. Since for ech k N, there exists δ k R [,b] + such tht n b ψ k ξ iσ i, H ψ k < ε 3 for every δ k -fine division Σ, ξ of [, b]. Agin since {ψ k } in E 1[,b] fuzzy uniformly converges to ψ E 1[,b], there exists k 0 N such tht ε ψ k ξ i, ψξ i < 3b for ll k k 0 nd for ll i = 1, 2,..., n. ψ k. ψ k. ψ k.

7 On Convergence Theorems for Fuzzy Henstock Integrls 93 So, for ll k, l k 0, tking n rbitrry prtition Σ, ξ simultneously δ k - nd δ l -fine, we hve H ψ k, H ψ l n b n n n b ψ k ξ i σ i, H ψ k + ψ k ξ i σ i, ψ l ξ i σ i + ψ l ξ i σ i, H ψ l < ε n 3 + ψ k ξ i, ψ l ξ i σ i + ε 3 < ε 3 + ε 3b b + ε 3 = ε. Thus {H ψ k} is Cuchy sequence in E 1,. Since by Theorem 2.3, E 1, is complete, {H ψ k} converges in the metric spce E 1,. Suppose limh ψ k = α. Let ε > 0 be given. By the condition of the theorem there exists k 0 N such tht ε ψ k x, ψx < 3b for ll k k 0 nd for ll x [, b]. Now for ny tgged prtition Σ, ξ of [, b] nd k k 0, by Theorem 2.3, we get n n n ψ k ξ iσ i, ψξ iσ i σ i ψ k ξ i, ψξ i b n ψ k ξ i, ψξ i < ε 3. Now since limh ψ k = α, there exists p k 0 N such tht H ψ p, α < ε 3. Since H ψ p exists, there exists δ p R [,b] + such tht every δ p -fine division Σ, ξ of [, b] stisfies n b ψ pξ i σ i, H ψ p < ε 3. Thus n ψξ i σ i, α n n n b ψξ i σ i, ψ pξ i σ i + ψ pξ i σ i, H ψ p + H for every δ p -fine division Σ, ξ of [, b]. ψ p, α < ε

8 94 B. M. Uzzl Afsn Hence H ψ exists nd H ψ = α. Definition 3.4. A sequence {ψ k } of fuzzy Henstock integrble functions in E 1[,b] is clled fuzzy uniform Henstock integrble on [, b] if for ech ε > 0, there exists δ R [,b] + such tht every δ-fine division Σ, ξ of [, b] stisfies n b ψ k ξ i σ i, H ψ k < ε for ll k N. Z. Gong nd Y. Sho [5] proved convergence theorem see Theorem 5.1 of [5] for the strongly fuzzy Henstock integrl [4] which showed tht the controlled convergence [5] of sequence of strongly fuzzy Henstock integrble functions implies the equi-integrbility [5] of subsequence of the sequence. In the next theorem, we shll prove convergence theorem for fuzzy uniform Henstock integrble functions following the rgument used in Theorem 5.1 of [5]. Theorem 3.5. Convergence theorem for fuzzy uniform Henstock integrble functions. Let {ψ k } be fuzzy uniform Henstock integrble sequence of fuzzy Henstock integrble functions in E 1[,b] nd ψ E 1[,b] be such tht for ech x [, b], {ψ k x} converges to ψx in the metric spce E 1[,b],. Then i ψ is Henstock integrble on [, b] nd ii H ψ = limh ψ k. Proof. Let ε > 0 be given. Since {ψ k } is fuzzy uniform Henstock integrble sequence on [, b], there exists δ-fine division Σ, ξ of [, b] tht stisfies n b ψ k ξ i σ i, H ψ k < ε 3 for ll k N. Agin by the condition of the theorem there exists k 0 N such tht ε ψ k ξ i, ψ l ξ i < 3b for ll k, l > k 0 nd so n n n ψ k ξ i σ i, ψ l ξ i σ i σ i ψ k ξ i, ψ l ξ i for ll k, l > k 0. Then for ll k, l > k 0. n b ψ k ξ i, ψ l ξ i < ε 3 H ψ k, H ψ l b n n n H ψ k, ψ k ξ i σ i + ψ k ξ i σ i, ψ l ξ i σ i n b + ψ l ξ i σ i, H ψ l < ε

9 On Convergence Theorems for Fuzzy Henstock Integrls 95 So {H ψ k} is Cuchy sequence in the complete metric spce E 1,. Therefore {H ψ k} converges in the metric spce E 1,. Suppose We clim tht limh H ψ k = α. ψ = α. To show this, let ε > 0 be given. Since {ψ k } is fuzzy uniformly Henstock integrble sequence on [, b], there exists δ R [,b] + such tht every δ-fine division Σ, ξ of [, b] stisfies n b ψ k ξ i σ i, H ψ k < ε 3 for ll k N. Since limh ψ k = α, there exists k 1 N such tht H ψ k, α for ll k k 1. Agin by the given condition of the theorem, there exists k 2 k 1 N such tht n n n ψ k ξ i σ i, ψξ i σ i b ψ k ξ i, ψξ i < ε 3 Thus n ψξ iσ i, α < ε 3 n n n ψξ iσ i, ψ k ξ iσ i + ψ k ξ iσ i, H ψ k + H for every δ-fine division Σ, ξ of [, b]. Hence H ψ exists nd H ψ = α. ψ k, α < ε Sks-Henstock lemm plys n importnt role in Henstock integrtion theory. Now we shll estblish the fuzzy version of this lemm. Lemm 3.6. Let ψ E 1[,b] be fuzzy Henstock integrble function in E 1[,b], let φx = H x ψ

10 96 B. M. Uzzl Afsn for ll x [, b] nd let ε > 0. Further suppose i δ R [,b] + is positive rel-vlued function such tht n n ψξ i σ i, φξ i σ i < ε for every δ-fine division Σ, ξ of [, b]. If Σ, ξ = {ξ i, [ i, b i ] : i = 1, 2,..., n} is δ-fine subdivision of [, b], then m m ψξ iσ i, φξ iσ i ε. Proof. Let ε 0 > 0 nd {F i : i = 1, 2,..., r} be the fmily of closed intervls in [, b] such tht {F i : i = 1, 2,..., r} Σ is prtition of [, b]. Here ψ E 1[,b] is fuzzy Henstock integrble on ech of the intervls F 1, F 2,..., F r nd hence for ech k {1, 2,..., r}, there exists δ k R [,b] + such tht every δ k -fine division Σ k, ξ k, Σ k = {x k 0, x k 1,..., x k i 1, xk i,..., xk n k }, ξ k = {ξ1 k,..., ξi k,..., ξk n k } of [, b] stisfies nk ψξi k σi k, H F t ψ < ε 0 r. Without loss of generlity, we cn ssume tht δ k x δx for ll x F k, k {1, 2,..., r}. If we tke Σ = Σ 1 Σ 2... Σ r Σ nd ξ = ξ 1 ξ 2... ξ r ξ, then Σ, ξ is δ-fine division of [, b]. Thus using condition i nd Theorem 2.3, we get r nk m m nk m ψξi k σi k + ψξ iσ i, φξi k σi k + φξ iσ i < ε. k=1 Now m m ψξ iσ i, φξ iσ i k=1 n k n r k m = ψξi k σi k + ψξ iσ i k=1 k=1 n r k ψξi k σi k, k=1 n m m m k φξi k σi k + φξ iσ i φξi k σi k k=1 r k=1 nk k=1 m m ψξi k σi k + ψξ iσ, n r k n k ψξi k σi k, φξi k σi k < ε + r ε0 r = ε + ε0 nd consequently, k=1 nk m m ψξ iσ i, φξ iσ i ε. m φξi k σi k + φξ iσ i +

11 On Convergence Theorems for Fuzzy Henstock Integrls 97 A sequence {ψ k }, ψ k E 1[,b] is clled fuzzy incresing resp. fuzzy decresing in [, b] if ψ k x ψ k+1 x resp. ψ k+1 x ψ k x for ll x [, b] nd k N. A sequence {ψ k } is clled fuzzy monotone on [, b] if it is either fuzzy incresing or fuzzy decresing in [, b]. Theorem 3.7. Fuzzy monotone convergence theorem. Let {ψ k } be fuzzy monotone sequence of fuzzy Henstock integrble functions in E 1[,b], {H ψ k} be fuzzy bounded nd ψ E 1[,b] be such tht for ech x [, b], {ψ k x} converges to ψx in the metric spce E 1[,b],. Then i ψ is Henstock integrble on [, b] nd ii H ψ = limh Proof. Let {ψ k } be fuzzy incresing sequence of fuzzy Henstock integrble functions in E 1[,b]. Then {H ψ k} is fuzzy incresing nd bounded. Then by Theorem 2.9, {H ψ k} must be fuzzy converges to α = sup{h ψ k}. 1 Let ε > 0 be given. Then we cn choose n r N such tht 2 < ε r 2 3 nd H ψ r, α < ε 3. Agin since {ψ k } is sequence of fuzzy Henstock integrble functions on [, b], for ech k N there exists δ k R [,b] + such tht every δ k -fine division Σ k, ξ k of [, b] stisfies nk b ψ k ξi k σi k, H ψ k < 1 2. k Agin by the condition, for ech x [, b], we cn select k x r N such tht ε ψ kx x, ψx < 3b. Consider the function δ = δ kx nd let Σ, ξ = {, ξ i : i = 1, 2,..., n} be ny δ-fine division of [, b]. Here n n n ψξ iσ i, α ψξ iσ i, ψ kξi ξ iσ i + n n ψ kξi ξ iσ i, H ψ kξi ψ k. n + H ψ kξi, α. Now we estimte the three vlues in the right-hnded sum of the lst inequlity. Estimtion of n n ψξ iσ i, ψ kξi ξ iσ i : By Theorem 2.3, n n ψξ i σ i, ψ kξi ξ i σ i n ε ψξ i, ψ kξi ξ i σ i < 3b b = ε 3.

12 98 B. M. Uzzl Afsn b Estimtion of n n ψ kξi ξ i σ i, H Suppose p = mx{k ξi : i = 1, 2,..., n}. Then n n p ψ kξi ξ iσ i, H ψ kξi t=r ψ kξi i {1,2,...,n:k ξi =t} : ψ kξi ξ i, H ψ kξi. Now pplying Lemm 3.6, nd hence c Estimtion of i {1,2,...,n:k ξi =t} n n ψ kξi ξ i σ i, H ψ kξi ξ i, H ψ kξi 1 2 t 1 ψ kξi < p t=r n H ψ kξi, α : 1 2 t 1 < 1 2 r 2 < ε 3. Here r k ξi p implies ψ r x ψ kξi x ψ p x for ll x [, b] nd so ψ r ψ kξi ψ p. Hence ψ r n ψ kξi ψ p α. Therefore by Theorem 2.3, n b H ψ kξi, α ψ r, α < ε 3. Thus n ψξ i σ i, α < ε. So ψ is Henstock integrble on [, b] nd H ψ = α = limh ψ k.

13 On Convergence Theorems for Fuzzy Henstock Integrls 99 Brtle [1] found necessry nd sufficient conditions for Henstock integrl convergence theorem of rel functions. This pper of Brtle [1] inspires to estblish the finl theorem of this section. Actully, this theorem provides us necessry nd sufficient condition such tht the point-wise limit ψ E 1[,b] of sequence {ψ k } of fuzzy Henstock integrble functions is to be fuzzy Henstock integrble on [, b] nd the equlity holds. H ψ = limh Theorem 3.8. Let {ψ k } be sequence of fuzzy Henstock integrble functions in E 1[,b] nd ψ E 1[,b] be such tht for ech x [, b], {ψ k x} converges to ψx in the metric spce E 1[,b],. Then the following conditions re equivlent: i ψ is fuzzy Henstock integrble on [, b] nd H ψ = limh ii for ech ε > 0, there exists m N such tht for ech k m, there exists δ R [,b] + such tht every δ-fine division Σ k, ξ k of [, b] stisfies nk n k ψ k ξi k σi k, ψξi k σi k < ε. Proof. i ii. Let ε > 0. Since limh there exists n m N such tht H ψ k = H ψ k, H for ll k m. Agin since {ψ k } is sequence of fuzzy Henstock integrble functions, for ech k m, we cn find δ k R [,b] + such tht every δ k -fine division Σ k, ξ k of [, b] stisfies nk b ψ k ξi k σi k, H ψ k < ε 3. Agin since ψ is fuzzy Henstock integrble on [, b], we cn find δ 0 R [,b] + such tht every δ 0 -fine division Σ 0, ξ 0 of [, b] stisfies n0 b ψξi 0 σi 0, H ψ < ε 3. ψ ψ k, ψ k, ψ, < ε 3

14 100 B. M. Uzzl Afsn We tke δ R [,b] + defined by δx = min{δ 0 x, δ k x}. Then nk n k ψ k ξi k σk i, nk b ψξi k σk i ψ k ξi k σk i, H ψ k + H n k + H ψ, ψξi k σk i < ε ψ k, H for every δ-fine division Σ k, ξ k of [, b] nd k m. ii i. Let ε > 0 nd ii holds. Then we clim tht {H ψ k} is Cuchy sequence. By ii, there exists m N such tht for ech k, l m, there exist δ k, δ l R [,b] + such tht nk n k ψ k ξi k σi k, ψξi k σi k < ε 4 for every δ k -fine division Σ k, ξ k of [, b] nd nl n l ψ l ξiσ l i, l ψξiσ l i l < ε 4 every δ l -fine division Σ l, ξ l of [, b]. Since ψ k nd ψ l re fuzzy Henstock integrble functions on [, b], we cn find ς k, ς l R [,b] + such tht sk b ψ k τi k ϱ k i, H ψ k < ε 4 for every ς k -fine division k, τ k of [, b] nd sl ψ k τi l ϱ l i, H for every ς l -fine division l, τ l of [, b]. Now define δ R [,b] + by δx = min{δ k x, δ l x, ς k x, ς l x}. Then for ll k, l m, H ψ k, H ψ l < ε 4 ψ l < ε nd so {H ψ k} is Cuchy sequence. Completeness of metric spce E 1, ensures tht exists in E 1. Suppose limh limh ψ k ψ k = α. ψ

15 On Convergence Theorems for Fuzzy Henstock Integrls 101 Then we cn choose p m N such tht H ψ k, α < ε 3. Also by ii, there exists δ 1 R [,b] + such tht every δ 1 -fine division Σ 1, ξ 1 of [, b] stisfies n1 n 1 ψ p ξi 1 σi 1, ψξi 1 σi 1 < ε 3. Since ψ p is fuzzy Henstock integrble function, there exists n δ 2 R +[,b] such tht every δ 2 -fine division Σ 2, ξ 2 of [, b] stisfies n2 ψ p ξi 2 σ i, H ψ p < ε 3. We define δ R [,b] + by δx = min{δ 1 x, δ 2 x}. Then α, n ψξ i σ i α, H ψ p + H n n ψ p ξ i σ i, ψξ i σ i < ε. So ψ is Henstock integrble on [, b] nd H ψ = α = limh 4. Conclusions ψ k. ψ k, n ψ p ξ i σ i + Let {ψ k } be sequence of fuzzy Henstock integrble functions in E 1[,b] which pointwise converges to ψ E 1[,b] in the metric spce E 1,. In Exmple 3.1, we hve shown tht limh ψ k = H is not true in generl. As result, finding vrious sufficient conditions s when the bove equlity will hold, re very much desired for fuzzy Henstock integrble functions. Being tempted, we hve estblished, in this pper, three coveted convergence theorems for fuzzy Henstock integrble functions: fuzzy uniform convergence theorem, convergence theorem for fuzzy uniform Henstock integrble functions nd fuzzy monotone convergence theorem ; we hve lso chieved in finding necessry nd sufficient condition under which the point-wise limit of sequence of fuzzy Henstock integrble functions is fuzzy Henstock integrble. In this pper, ttempts hve been mde in estblishing some bsic convergence theorems, but more nd ψ.

16 102 B. M. Uzzl Afsn more subsequent venture in this ren will emerge mny non trivil results tht will definitely enrich the Henstock integrtion theory in fuzzy setting. Acknowledgements. The uthor is grteful to the lerned reviewers for their constructive comments nd vluble suggestions, which improved the pper to gret extent. References [1] R. G. Brtle, A convergence theorem for generlized Riemnn integrls, Rel Anl. Exchnge, , [2] B. Bongiorno, L. Di Pizz nd K. Musi l, A decomposition theorem for the fuzzy Henstock integrl I, Fuzzy Sets nd Systems, , [3] R. Goetschel nd W. Voxmn, Elementry fuzzy clculus, Fuzzy Sets nd Systems, , [4] Z. Gong, On the problem of chrcterizing derivtives for the fuzzy-vlued functions II: lmost everywhere differentibility nd strong Henstock integrl, Fuzzy Sets nd Systems, , [5] Z. Gong nd Y. Sho, The controlled convergence theorems for the strong Henstock integrls of fuzzy-number-vlued functions, Fuzzy Sets nd Systems, , [6] Z. Gong nd L. Wng, The Henstock-Stieltjes integrl for fuzzy-number-vlued functions, Inform. Sci., , [7] Z. Gung-Qun, Fuzzy continuous function nd its properties, Fuzzy Sets nd Systems, , [8] R. Henstock, Theory of Integrtion, Butterworths, London, [9] J. Kurzweil, Generlized ordinry differentil equtions nd continuous dependence on prmeter, Czechoslovk Mth. J., , [10] M Ming, On embedding problem of fuzzy number spce: Prt 4, Fuzzy Sets nd Systems, , [11] K. Musi l, A decomposition theorem for Bnch spce vlued fuzzy Henstock integrl, Fuzzy Sets nd Systems, , [12] C. Wu nd Z. Gong, On Henstock integrl of fuzzy-number-vlued functions, Fuzzy Sets nd Systems, , [13] C. Wu nd M Ming, On embedding problem of fuzzy number spce: Prt 1, Fuzzy Sets nd Systems, , B. M. Uzzl Afsn, Deprtment of Mthemtics, Sript Singh College, Jignj , Murshidbd, West Bengl, Indi E-mil ddress: uzlfsn@gmil.com

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

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

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

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

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

Solutions 3. February 2, Apply composite Simpson s rule with m = 1, 2, 4 panels to approximate the integrals:

Solutions 3. February 2, Apply composite Simpson s rule with m = 1, 2, 4 panels to approximate the integrals: s Februry 2, 216 1 Exercise 5.2. Apply composite Simpson s rule with m = 1, 2, 4 pnels to pproximte the integrls: () x 2 dx = 1 π/2, (b) cos(x) dx = 1, (c) e x dx = e 1, nd report the errors. () f(x) =

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

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

Homomorphism in Intuitionistic Fuzzy Automata

Homomorphism in Intuitionistic Fuzzy Automata International Journal of Fuzzy Mathematics Systems. ISSN 2248-9940 Volume 3, Number 1 (2013), pp. 39-45 Research India Publications http://www.ripublication.com/ijfms.htm Homomorphism in Intuitionistic

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

Oscillation of Nonlinear Delay Partial Difference Equations. LIU Guanghui [a],*

Oscillation of Nonlinear Delay Partial Difference Equations. LIU Guanghui [a],* Studies in Mthemtil Sienes Vol. 5, No.,, pp. [9 97] DOI:.3968/j.sms.938455.58 ISSN 93-8444 [Print] ISSN 93-845 [Online] www.snd.net www.snd.org Osilltion of Nonliner Dely Prtil Differene Equtions LIU Gunghui

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

Math 446 Homework 3 Solutions. (1). (i): Reverse triangle inequality for metrics: Let (X, d) be a metric space and let x, y, z X.

Math 446 Homework 3 Solutions. (1). (i): Reverse triangle inequality for metrics: Let (X, d) be a metric space and let x, y, z X. Math 446 Homework 3 Solutions. (1). (i): Reverse triangle inequalit for metrics: Let (X, d) be a metric space and let x,, z X. Prove that d(x, z) d(, z) d(x, ). (ii): Reverse triangle inequalit for norms:

Διαβάστε περισσότερα

k A = [k, k]( )[a 1, a 2 ] = [ka 1,ka 2 ] 4For the division of two intervals of confidence in R +

k A = [k, k]( )[a 1, a 2 ] = [ka 1,ka 2 ] 4For the division of two intervals of confidence in R + Chapter 3. Fuzzy Arithmetic 3- Fuzzy arithmetic: ~Addition(+) and subtraction (-): Let A = [a and B = [b, b in R If x [a and y [b, b than x+y [a +b +b Symbolically,we write A(+)B = [a (+)[b, b = [a +b

Διαβάστε περισσότερα

Solutions_3. 1 Exercise Exercise January 26, 2017

Solutions_3. 1 Exercise Exercise January 26, 2017 s_3 Jnury 26, 217 1 Exercise 5.2.3 Apply composite Simpson s rule with m = 1, 2, 4 pnels to pproximte the integrls: () x 2 dx = 1 π/2 3, (b) cos(x) dx = 1, (c) e x dx = e 1, nd report the errors. () f(x)

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

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

ΤΜΗΜΑ ΗΛΕΚΤΡΟΛΟΓΩΝ ΜΗΧΑΝΙΚΩΝ ΚΑΙ ΜΗΧΑΝΙΚΩΝ ΥΠΟΛΟΓΙΣΤΩΝ

ΤΜΗΜΑ ΗΛΕΚΤΡΟΛΟΓΩΝ ΜΗΧΑΝΙΚΩΝ ΚΑΙ ΜΗΧΑΝΙΚΩΝ ΥΠΟΛΟΓΙΣΤΩΝ ΗΜΥ ΔΙΑΚΡΙΤΗ ΑΝΑΛΥΣΗ ΚΑΙ ΔΟΜΕΣ ΤΜΗΜΑ ΗΛΕΚΤΡΟΛΟΓΩΝ ΜΗΧΑΝΙΚΩΝ ΚΑΙ ΜΗΧΑΝΙΚΩΝ ΥΠΟΛΟΓΙΣΤΩΝ ΗΜΥ Διακριτή Ανάλυση και Δομές Χειμερινό Εξάμηνο 6 Σειρά Ασκήσεων Ακέραιοι και Διαίρεση, Πρώτοι Αριθμοί, GCD/LC, Συστήματα

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

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

SOME PROPERTIES OF FUZZY REAL NUMBERS

SOME PROPERTIES OF FUZZY REAL NUMBERS Sahand Communications in Mathematical Analysis (SCMA) Vol. 3 No. 1 (2016), 21-27 http://scma.maragheh.ac.ir SOME PROPERTIES OF FUZZY REAL NUMBERS BAYAZ DARABY 1 AND JAVAD JAFARI 2 Abstract. In the mathematical

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

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

Statistical Inference I Locally most powerful tests

Statistical Inference I Locally most powerful tests Statistical Inference I Locally most powerful tests Shirsendu Mukherjee Department of Statistics, Asutosh College, Kolkata, India. shirsendu st@yahoo.co.in So far we have treated the testing of one-sided

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

SOLUTIONS TO MATH38181 EXTREME VALUES AND FINANCIAL RISK EXAM

SOLUTIONS TO MATH38181 EXTREME VALUES AND FINANCIAL RISK EXAM SOLUTIONS TO MATH38181 EXTREME VALUES AND FINANCIAL RISK EXAM Solutions to Question 1 a) The cumulative distribution function of T conditional on N n is Pr T t N n) Pr max X 1,..., X N ) t N n) Pr max

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

ORDINAL ARITHMETIC JULIAN J. SCHLÖDER

ORDINAL ARITHMETIC JULIAN J. SCHLÖDER ORDINAL ARITHMETIC JULIAN J. SCHLÖDER Abstract. We define ordinal arithmetic and show laws of Left- Monotonicity, Associativity, Distributivity, some minor related properties and the Cantor Normal Form.

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

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

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

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

SOLUTIONS TO MATH38181 EXTREME VALUES AND FINANCIAL RISK EXAM

SOLUTIONS TO MATH38181 EXTREME VALUES AND FINANCIAL RISK EXAM SOLUTIONS TO MATH38181 EXTREME VALUES AND FINANCIAL RISK EXAM Solutions to Question 1 a) The cumulative distribution function of T conditional on N n is Pr (T t N n) Pr (max (X 1,..., X N ) t N n) Pr (max

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

AMS 212B Perturbation Methods Lecture 14 Copyright by Hongyun Wang, UCSC. Example: Eigenvalue problem with a turning point inside the interval

AMS 212B Perturbation Methods Lecture 14 Copyright by Hongyun Wang, UCSC. Example: Eigenvalue problem with a turning point inside the interval AMS B Perturbtion Methods Lecture 4 Copyright by Hongyun Wng, UCSC Emple: Eigenvlue problem with turning point inside the intervl y + λ y y = =, y( ) = The ODE for y() hs the form y () + λ f() y() = with

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

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

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

Bounding Nonsplitting Enumeration Degrees

Bounding Nonsplitting Enumeration Degrees Bounding Nonsplitting Enumeration Degrees Thomas F. Kent Andrea Sorbi Università degli Studi di Siena Italia July 18, 2007 Goal: Introduce a form of Σ 0 2-permitting for the enumeration degrees. Till now,

Διαβάστε περισσότερα

ω ω ω ω ω ω+2 ω ω+2 + ω ω ω ω+2 + ω ω+1 ω ω+2 2 ω ω ω ω ω ω ω ω+1 ω ω2 ω ω2 + ω ω ω2 + ω ω ω ω2 + ω ω+1 ω ω2 + ω ω+1 + ω ω ω ω2 + ω

ω ω ω ω ω ω+2 ω ω+2 + ω ω ω ω+2 + ω ω+1 ω ω+2 2 ω ω ω ω ω ω ω ω+1 ω ω2 ω ω2 + ω ω ω2 + ω ω ω ω2 + ω ω+1 ω ω2 + ω ω+1 + ω ω ω ω2 + ω 0 1 2 3 4 5 6 ω ω + 1 ω + 2 ω + 3 ω + 4 ω2 ω2 + 1 ω2 + 2 ω2 + 3 ω3 ω3 + 1 ω3 + 2 ω4 ω4 + 1 ω5 ω 2 ω 2 + 1 ω 2 + 2 ω 2 + ω ω 2 + ω + 1 ω 2 + ω2 ω 2 2 ω 2 2 + 1 ω 2 2 + ω ω 2 3 ω 3 ω 3 + 1 ω 3 + ω ω 3 +

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

GAUGES OF BAIRE CLASS ONE FUNCTIONS

GAUGES OF BAIRE CLASS ONE FUNCTIONS GAUGES OF BAIRE CLASS ONE FUNCTIONS ZULIJANTO ATOK, WEE-KEE TANG, AND DONGSHENG ZHAO Abstract. Let K be a compact metric space and f : K R be a bounded Baire class one function. We proved that for any

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

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

Some definite integrals connected with Gauss s sums

Some definite integrals connected with Gauss s sums Some definite integrls connected with Guss s sums Messenger of Mthemtics XLIV 95 75 85. If n is rel nd positive nd I(t where I(t is the imginry prt of t is less thn either n or we hve cos πtx coshπx e

Διαβάστε περισσότερα

Homomorphism of Intuitionistic Fuzzy Groups

Homomorphism of Intuitionistic Fuzzy Groups International Mathematical Forum, Vol. 6, 20, no. 64, 369-378 Homomorphism o Intuitionistic Fuzz Groups P. K. Sharma Department o Mathematics, D..V. College Jalandhar Cit, Punjab, India pksharma@davjalandhar.com

Διαβάστε περισσότερα

A General Note on δ-quasi Monotone and Increasing Sequence

A General Note on δ-quasi Monotone and Increasing Sequence International Mathematical Forum, 4, 2009, no. 3, 143-149 A General Note on δ-quasi Monotone and Increasing Sequence Santosh Kr. Saxena H. N. 419, Jawaharpuri, Badaun, U.P., India Presently working in

Διαβάστε περισσότερα

ΚΥΠΡΙΑΚΗ ΕΤΑΙΡΕΙΑ ΠΛΗΡΟΦΟΡΙΚΗΣ CYPRUS COMPUTER SOCIETY ΠΑΓΚΥΠΡΙΟΣ ΜΑΘΗΤΙΚΟΣ ΔΙΑΓΩΝΙΣΜΟΣ ΠΛΗΡΟΦΟΡΙΚΗΣ 19/5/2007

ΚΥΠΡΙΑΚΗ ΕΤΑΙΡΕΙΑ ΠΛΗΡΟΦΟΡΙΚΗΣ CYPRUS COMPUTER SOCIETY ΠΑΓΚΥΠΡΙΟΣ ΜΑΘΗΤΙΚΟΣ ΔΙΑΓΩΝΙΣΜΟΣ ΠΛΗΡΟΦΟΡΙΚΗΣ 19/5/2007 Οδηγίες: Να απαντηθούν όλες οι ερωτήσεις. Αν κάπου κάνετε κάποιες υποθέσεις να αναφερθούν στη σχετική ερώτηση. Όλα τα αρχεία που αναφέρονται στα προβλήματα βρίσκονται στον ίδιο φάκελο με το εκτελέσιμο

Διαβάστε περισσότερα

Chapter 6: Systems of Linear Differential. be continuous functions on the interval

Chapter 6: Systems of Linear Differential. be continuous functions on the interval Chapter 6: Systems of Linear Differential Equations Let a (t), a 2 (t),..., a nn (t), b (t), b 2 (t),..., b n (t) be continuous functions on the interval I. The system of n first-order differential equations

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

2. Let H 1 and H 2 be Hilbert spaces and let T : H 1 H 2 be a bounded linear operator. Prove that [T (H 1 )] = N (T ). (6p)

2. Let H 1 and H 2 be Hilbert spaces and let T : H 1 H 2 be a bounded linear operator. Prove that [T (H 1 )] = N (T ). (6p) Uppsala Universitet Matematiska Institutionen Andreas Strömbergsson Prov i matematik Funktionalanalys Kurs: F3B, F4Sy, NVP 2005-03-08 Skrivtid: 9 14 Tillåtna hjälpmedel: Manuella skrivdon, Kreyszigs bok

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

Some new generalized topologies via hereditary classes. Key Words:hereditary generalized topological space, A κ(h,µ)-sets, κµ -topology.

Some new generalized topologies via hereditary classes. Key Words:hereditary generalized topological space, A κ(h,µ)-sets, κµ -topology. Bol. Soc. Paran. Mat. (3s.) v. 30 2 (2012): 71 77. c SPM ISSN-2175-1188 on line ISSN-00378712 in press SPM: www.spm.uem.br/bspm doi:10.5269/bspm.v30i2.13793 Some new generalized topologies via hereditary

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

Math221: HW# 1 solutions

Math221: HW# 1 solutions Math: HW# solutions Andy Royston October, 5 7.5.7, 3 rd Ed. We have a n = b n = a = fxdx = xdx =, x cos nxdx = x sin nx n sin nxdx n = cos nx n = n n, x sin nxdx = x cos nx n + cos nxdx n cos n = + sin

Διαβάστε περισσότερα

MINIMAL CLOSED SETS AND MAXIMAL CLOSED SETS

MINIMAL CLOSED SETS AND MAXIMAL CLOSED SETS MINIMAL CLOSED SETS AND MAXIMAL CLOSED SETS FUMIE NAKAOKA AND NOBUYUKI ODA Received 20 December 2005; Revised 28 May 2006; Accepted 6 August 2006 Some properties of minimal closed sets and maximal closed

Διαβάστε περισσότερα

Econ 2110: Fall 2008 Suggested Solutions to Problem Set 8 questions or comments to Dan Fetter 1

Econ 2110: Fall 2008 Suggested Solutions to Problem Set 8  questions or comments to Dan Fetter 1 Eon : Fall 8 Suggested Solutions to Problem Set 8 Email questions or omments to Dan Fetter Problem. Let X be a salar with density f(x, θ) (θx + θ) [ x ] with θ. (a) Find the most powerful level α test

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

12. Radon-Nikodym Theorem

12. Radon-Nikodym Theorem Tutorial 12: Radon-Nikodym Theorem 1 12. Radon-Nikodym Theorem In the following, (Ω, F) is an arbitrary measurable space. Definition 96 Let μ and ν be two (possibly complex) measures on (Ω, F). We say

Διαβάστε περισσότερα

F A S C I C U L I M A T H E M A T I C I

F A S C I C U L I M A T H E M A T I C I F A S C I C U L I M A T H E M A T I C I Nr 46 2011 C. Carpintero, N. Rajesh and E. Rosas ON A CLASS OF (γ, γ )-PREOPEN SETS IN A TOPOLOGICAL SPACE Abstract. In this paper we have introduced the concept

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

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

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

New bounds for spherical two-distance sets and equiangular lines

New bounds for spherical two-distance sets and equiangular lines New bounds for spherical two-distance sets and equiangular lines Michigan State University Oct 8-31, 016 Anhui University Definition If X = {x 1, x,, x N } S n 1 (unit sphere in R n ) and x i, x j = a

Διαβάστε περισσότερα

Homework 3 Solutions

Homework 3 Solutions Homework 3 Solutions Igor Yanovsky (Math 151A TA) Problem 1: Compute the absolute error and relative error in approximations of p by p. (Use calculator!) a) p π, p 22/7; b) p π, p 3.141. Solution: For

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

Pg The perimeter is P = 3x The area of a triangle is. where b is the base, h is the height. In our case b = x, then the area is

Pg The perimeter is P = 3x The area of a triangle is. where b is the base, h is the height. In our case b = x, then the area is Pg. 9. The perimeter is P = The area of a triangle is A = bh where b is the base, h is the height 0 h= btan 60 = b = b In our case b =, then the area is A = = 0. By Pythagorean theorem a + a = d a a =

Διαβάστε περισσότερα

HOMEWORK 4 = G. In order to plot the stress versus the stretch we define a normalized stretch:

HOMEWORK 4 = G. In order to plot the stress versus the stretch we define a normalized stretch: HOMEWORK 4 Problem a For the fast loading case, we want to derive the relationship between P zz and λ z. We know that the nominal stress is expressed as: P zz = ψ λ z where λ z = λ λ z. Therefore, applying

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

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

Operation Approaches on α-γ-open Sets in Topological Spaces

Operation Approaches on α-γ-open Sets in Topological Spaces Int. Journal of Math. Analysis, Vol. 7, 2013, no. 10, 491-498 Operation Approaches on α-γ-open Sets in Topological Spaces N. Kalaivani Department of Mathematics VelTech HighTec Dr.Rangarajan Dr.Sakunthala

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

Lecture 13 - Root Space Decomposition II

Lecture 13 - Root Space Decomposition II Lecture 13 - Root Space Decomposition II October 18, 2012 1 Review First let us recall the situation. Let g be a simple algebra, with maximal toral subalgebra h (which we are calling a CSA, or Cartan Subalgebra).

Διαβάστε περισσότερα

Lecture 5: Numerical Integration

Lecture 5: Numerical Integration Lecture notes on Vritionl nd Approximte Metods in Applied Mtemtics - A Peirce UBC 1 Lecture 5: Numericl Integrtion Compiled 15 September 1 In tis lecture we introduce tecniques for numericl integrtion,

Διαβάστε περισσότερα

Online Appendix I. 1 1+r ]}, Bψ = {ψ : Y E A S S}, B W = +(1 s)[1 m (1,0) (b, e, a, ψ (0,a ) (e, a, s); q, ψ, W )]}, (29) exp( U(d,a ) (i, x; q)

Online Appendix I. 1 1+r ]}, Bψ = {ψ : Y E A S S}, B W = +(1 s)[1 m (1,0) (b, e, a, ψ (0,a ) (e, a, s); q, ψ, W )]}, (29) exp( U(d,a ) (i, x; q) Online Appendix I Appendix D Additional Existence Proofs Denote B q = {q : A E A S [0, +r ]}, Bψ = {ψ : Y E A S S}, B W = {W : I E A S R}. I slightly abuse the notation by defining B q (L q ) the subset

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

Partial Differential Equations in Biology The boundary element method. March 26, 2013

Partial Differential Equations in Biology The boundary element method. March 26, 2013 The boundary element method March 26, 203 Introduction and notation The problem: u = f in D R d u = ϕ in Γ D u n = g on Γ N, where D = Γ D Γ N, Γ D Γ N = (possibly, Γ D = [Neumann problem] or Γ N = [Dirichlet

Διαβάστε περισσότερα

Second Order Partial Differential Equations

Second Order Partial Differential Equations Chapter 7 Second Order Partial Differential Equations 7.1 Introduction A second order linear PDE in two independent variables (x, y Ω can be written as A(x, y u x + B(x, y u xy + C(x, y u u u + D(x, y

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

Lecture 34 Bootstrap confidence intervals

Lecture 34 Bootstrap confidence intervals Lecture 34 Bootstrap confidence intervals Confidence Intervals θ: an unknown parameter of interest We want to find limits θ and θ such that Gt = P nˆθ θ t If G 1 1 α is known, then P θ θ = P θ θ = 1 α

Διαβάστε περισσότερα

Intuitionistic Fuzzy Ideals of Near Rings

Intuitionistic Fuzzy Ideals of Near Rings International Mathematical Forum, Vol. 7, 202, no. 6, 769-776 Intuitionistic Fuzzy Ideals of Near Rings P. K. Sharma P.G. Department of Mathematics D.A.V. College Jalandhar city, Punjab, India pksharma@davjalandhar.com

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

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

THE SECOND ISOMORPHISM THEOREM ON ORDERED SET UNDER ANTIORDERS. Daniel A. Romano

THE SECOND ISOMORPHISM THEOREM ON ORDERED SET UNDER ANTIORDERS. Daniel A. Romano 235 Kragujevac J. Math. 30 (2007) 235 242. THE SECOND ISOMORPHISM THEOREM ON ORDERED SET UNDER ANTIORDERS Daniel A. Romano Department of Mathematics and Informatics, Banja Luka University, Mladena Stojanovića

Διαβάστε περισσότερα

Lecture 21: Properties and robustness of LSE

Lecture 21: Properties and robustness of LSE Lecture 21: Properties and robustness of LSE BLUE: Robustness of LSE against normality We now study properties of l τ β and σ 2 under assumption A2, i.e., without the normality assumption on ε. From Theorem

Διαβάστε περισσότερα

DIRECT PRODUCT AND WREATH PRODUCT OF TRANSFORMATION SEMIGROUPS

DIRECT PRODUCT AND WREATH PRODUCT OF TRANSFORMATION SEMIGROUPS GANIT J. Bangladesh Math. oc. IN 606-694) 0) -7 DIRECT PRODUCT AND WREATH PRODUCT OF TRANFORMATION EMIGROUP ubrata Majumdar, * Kalyan Kumar Dey and Mohd. Altab Hossain Department of Mathematics University

Διαβάστε περισσότερα

2. THEORY OF EQUATIONS. PREVIOUS EAMCET Bits.

2. THEORY OF EQUATIONS. PREVIOUS EAMCET Bits. EAMCET-. THEORY OF EQUATIONS PREVIOUS EAMCET Bits. Each of the roots of the equation x 6x + 6x 5= are increased by k so that the new transformed equation does not contain term. Then k =... - 4. - Sol.

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

LAPLACE TYPE PROBLEMS FOR A DELONE LATTICE AND NON-UNIFORM DISTRIBUTIONS

LAPLACE TYPE PROBLEMS FOR A DELONE LATTICE AND NON-UNIFORM DISTRIBUTIONS Dedicted to Professor Octv Onicescu, founder of the Buchrest School of Probbility LAPLACE TYPE PROBLEMS FOR A DELONE LATTICE AND NON-UNIFORM DISTRIBUTIONS G CARISTI nd M STOKA Communicted by Mrius Iosifescu

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

Απόκριση σε Μοναδιαία Ωστική Δύναμη (Unit Impulse) Απόκριση σε Δυνάμεις Αυθαίρετα Μεταβαλλόμενες με το Χρόνο. Απόστολος Σ.

Απόκριση σε Μοναδιαία Ωστική Δύναμη (Unit Impulse) Απόκριση σε Δυνάμεις Αυθαίρετα Μεταβαλλόμενες με το Χρόνο. Απόστολος Σ. Απόκριση σε Δυνάμεις Αυθαίρετα Μεταβαλλόμενες με το Χρόνο The time integral of a force is referred to as impulse, is determined by and is obtained from: Newton s 2 nd Law of motion states that the action

Διαβάστε περισσότερα

5. Choice under Uncertainty

5. Choice under Uncertainty 5. Choice under Uncertainty Daisuke Oyama Microeconomics I May 23, 2018 Formulations von Neumann-Morgenstern (1944/1947) X: Set of prizes Π: Set of probability distributions on X : Preference relation

Διαβάστε περισσότερα

Chapter 6: Systems of Linear Differential. be continuous functions on the interval

Chapter 6: Systems of Linear Differential. be continuous functions on the interval Chapter 6: Systems of Linear Differential Equations Let a (t), a 2 (t),..., a nn (t), b (t), b 2 (t),..., b n (t) be continuous functions on the interval I. The system of n first-order differential equations

Διαβάστε περισσότερα

Tridiagonal matrices. Gérard MEURANT. October, 2008

Tridiagonal matrices. Gérard MEURANT. October, 2008 Tridiagonal matrices Gérard MEURANT October, 2008 1 Similarity 2 Cholesy factorizations 3 Eigenvalues 4 Inverse Similarity Let α 1 ω 1 β 1 α 2 ω 2 T =......... β 2 α 1 ω 1 β 1 α and β i ω i, i = 1,...,

Διαβάστε περισσότερα

CHAPTER (2) Electric Charges, Electric Charge Densities and Electric Field Intensity

CHAPTER (2) Electric Charges, Electric Charge Densities and Electric Field Intensity CHAPTE () Electric Chrges, Electric Chrge Densities nd Electric Field Intensity Chrge Configurtion ) Point Chrge: The concept of the point chrge is used when the dimensions of n electric chrge distriution

Διαβάστε περισσότερα

Parametrized Surfaces

Parametrized Surfaces Parametrized Surfaces Recall from our unit on vector-valued functions at the beginning of the semester that an R 3 -valued function c(t) in one parameter is a mapping of the form c : I R 3 where I is some

Διαβάστε περισσότερα

The challenges of non-stable predicates

The challenges of non-stable predicates The challenges of non-stable predicates Consider a non-stable predicate Φ encoding, say, a safety property. We want to determine whether Φ holds for our program. The challenges of non-stable predicates

Διαβάστε περισσότερα

Notes on Tobin s. Liquidity Preference as Behavior toward Risk

Notes on Tobin s. Liquidity Preference as Behavior toward Risk otes on Tobin s Liquidity Preference s Behvior towrd Risk By Richrd McMinn Revised June 987 Revised subsequently Tobin (Tobin 958 considers portfolio model in which there is one sfe nd one risky sset.

Διαβάστε περισσότερα

Limit theorems under sublinear expectations and probabilities

Limit theorems under sublinear expectations and probabilities Limit theorems under sublinear expectations and probabilities Xinpeng LI Shandong University & Université Paris 1 Young Researchers Meeting on BSDEs, Numerics and Finance 4 July, Oxford 1 / 25 Outline

Διαβάστε περισσότερα

On a four-dimensional hyperbolic manifold with finite volume

On a four-dimensional hyperbolic manifold with finite volume BULETINUL ACADEMIEI DE ŞTIINŢE A REPUBLICII MOLDOVA. MATEMATICA Numbers 2(72) 3(73), 2013, Pages 80 89 ISSN 1024 7696 On a four-dimensional hyperbolic manifold with finite volume I.S.Gutsul Abstract. In

Διαβάστε περισσότερα