ON CONVERGENCE THEOREMS FOR FUZZY HENSTOCK INTEGRALS
|
|
- Φοῖνιξ Δημητρίου
- 5 χρόνια πριν
- Προβολές:
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
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 περισσότεραINTEGRAL 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 περισσότερα2 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 περισσότεραST5224: 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 περισσότεραOrdinal 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 περισσότεραSolutions 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 περισσότεραC.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 περισσότεραExample 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 περισσότεραHomomorphism 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 περισσότεραEvery 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 περισσότεραOscillation 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 περισσότεραA 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 περισσότεραMath 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 περισσότεραk 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 περισσότεραSolutions_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 περισσότεραEE512: 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 περισσότεραCommutative 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 περισσότεραΤΜΗΜΑ 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 περισσότεραMatrices 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 περισσότεραUniform 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 περισσότεραSOME 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 περισσότεραSCITECH 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 περισσότεραΣχολή 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 περισσότεραStatistical 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 περισσότεραOther 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 περισσότεραSOLUTIONS 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 περισσότεραCoefficient 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 περισσότεραORDINAL 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 περισσότεραProblem 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 περισσότεραFractional 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 περισσότεραFourier 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 περισσότεραNowhere-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 περισσότεραSOLUTIONS 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 περισσότεραReminders: 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 περισσότεραAMS 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 περισσότεραLecture 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 περισσότεραCongruence 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 περισσότεραPhys460.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 περισσότεραBounding 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 περισσότεραω 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 περισσότεραInverse 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 περισσότεραGAUGES 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 περισσότερα4.6 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 περισσότεραChapter 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 περισσότεραSome 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 περισσότεραHomomorphism 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 περισσότεραA 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 περισσότεραΚΥΠΡΙΑΚΗ 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 περισσότεραChapter 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 περισσότεραSection 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 περισσότερα2. 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 περισσότεραPractice 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 περισσότεραSome 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 περισσότεραCHAPTER 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 περισσότεραMath221: 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 περισσότεραMINIMAL 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 περισσότεραEcon 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 περισσότεραLecture 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 περισσότερα12. 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 περισσότεραF 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 περισσότεραFinite 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 περισσότεραConcrete 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 περισσότερα1. 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 περισσότεραNew 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 περισσότεραHomework 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 περισσότερα3.4 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 περισσότεραPg 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 περισσότεραHOMEWORK 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 περισσότεραSecond 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 περισσότεραANSWERSHEET (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 περισσότεραOperation 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 περισσότεραThe 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 περισσότεραLecture 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 περισσότεραLecture 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 περισσότεραOnline 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 περισσότεραderivation 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 περισσότεραPartial 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 περισσότεραSecond 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 περισσότεραSCHOOL 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 περισσότεραLecture 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 περισσότεραIntuitionistic 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 περισσότεραStrain 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 περισσότερα6.1. 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 περισσότεραTHE 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 περισσότεραLecture 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 περισσότεραDIRECT 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 περισσότερα2. 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 περισσότεραSequent 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 περισσότεραLAPLACE 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 περισσότεραApproximation 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 περισσότεραΑπόκριση 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 περισσότερα5. 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 περισσότεραChapter 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 περισσότεραTridiagonal 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 περισσότεραCHAPTER (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 περισσότεραParametrized 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 περισσότεραThe 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 περισσότεραNotes 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 περισσότεραLimit 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 περισσότεραOn 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