SOME BASIC RESULTS ON THE SETS OF SEQUENCES WITH GEOMETRIC CALCULUS

Size: px
Start display at page:

Download "SOME BASIC RESULTS ON THE SETS OF SEQUENCES WITH GEOMETRIC CALCULUS"

Transcription

1 C om m un.fac.sci.u niv.a n.series A 1 Volum e 61, N um b er 2, Pages (2012) ISSN SOME BASIC RESULTS ON THE SETS OF SEQUENCES WITH EOMETRIC CALCULUS CENİZ TÜRKMEN AND FEYZİ BAŞAR A. As an alternative to the classical calculus, rossman and Katz [Non-Newtonian Calculus, Lee Press, Pigeon Cove, Massachusetts, 1972] introduced the non-newtonian calculus consisting of the branches of geometric, anageometric and bigeometric calculus. Following rossman and Katz, we construct the field C() of geometric complex numbers and the concept of geometric metric. Also we give the triangle and Minowsi s inequalities in the sense of geometric calculus. Later we respectively define the sets ω(), l (), c(), c 0 () and l p() of all, bounded, convergent, null and p-absolutely summable sequences, in the sense of geometric calculus and show that each of the set forms a vector space on the field C() and a complete metric space. 1. P, B N During the renaissance many scholars, including alileo, discussed the following problem: Two estimates, 10 and 1000, are proposed as the value of a horse, which estimates, if any, deviates more from the true value of 100? The scholars who maintained that deviations should be measured by differences concluded that the estimate of 10 was closer to the true value. However, alileo eventually maintained that the deviations should be measured by ratios, and he concluded that two estimates deviated equally from the true value. From the story, the question comes out this way what if we measure by ratios? The answer is the main idea of non-newtonian calculus which is consist of many calculuses such as; the classical, geometric, ana-geometric, bi-geometric calculus. Even you can create your own calculus by choosing generator different function. Although all arithmetics are structurally equivalent, only by distinguishing among Received by the editors June 26, 2012, Accepted: Nov. 27, Mathematics Subject Classification. 26A06, 11U10, 08A05. Key words and phrases. eometric calculus, algebraic structures with respect to geometric calculus, geometric sequence spaces. The main results of this paper were presented in part at the International Conference On Applied Analysis and Algebra to be held on June and 1-2 July 2011 in İstanbul, Turey at the Yıldız Technical University. 17 c 2012 A nara U niversity

2 18 CENİZ TÜRKMEN AND FEYZİ BAŞAR them do we obtain suitable tools for constructing all the non-newtonian calculus. But the usefulness of arithmetics is not limited to the construction of calculus; we believe there is a more fundamental reason for considering alternative arithmetics: They may also be helpful in developing and understanding new systems of measurement that could yield simpler physical laws. Bashirov et al. [1] have recently emphasized on the non-newtonian calculus and gave the results with applications corresponding to the well-nown properties of derivative and integral in the classical calculus. Quite recently, Uzer [7] has extended the multiplicative calculus to the complex valued functions and interested in the statements of some fundamental theorems and concepts of multiplicative complex calculus, and demonstrated some analogies between the multiplicative complex calculus and classical calculus by theoretical and numerical examples. Bashirov and Rıza [2] have studied on the multiplicative differentiation for complex-valued functions and established the multiplicative Cauchy-Riemann conditions. Bashirov et al. [3] have investigated various problems from different fields can be modeled more effi ciently using multiplicative calculus, in place of Newtonian calculus. Quite recently, Çama and Başar [4] have emphasized that each of the set ω(n), l (N), c(n), c 0 (N) and l p (N) of all, bounded, convergent, null and p-absolutely summable sequences forms a vector space on the field R(N) of non-newtonian real numbers and a complete metric space. eometric calculus is an alternative to the usual calculus of Newton and Leibniz. It provides differentiation and integration tools based on multiplication instead of addition. Every property in Newtonian calculus has an analog in multiplicative calculus. enerally speaing, multiplicative calculus is a methodology that allows one to have a different loo at problems which can be investigated via calculus. In some cases, for example for growth related problems, the use of multiplicative calculus is advocated instead of a traditional Newtonian one. The set R() of positive real numbers are defined by R() := {e x : x R} := R + \ {0}. Throughout this document, geometric calculus is denoted by (C) and classical calculus is denoted by (CC). A generator is one-to-one function whose domain is C and whose range is a subset of C, the set of complex numbers. As a generator, we choose the function exp from C str to the set C() := C \ {0},(see figure below), that is to say that

3 SOME BASIC RESULTS ON THE SETS OF SEQUENCES 19 α : C str C() z α(z) z = w and α 1 : C() C str w α 1 (w) = ln w = z, where C str := {z = x + iy : x R; π < y π}. In this situation, geometric zero is e 0 = 1 and geometric one is e 1. Similarly, the set Z() of geometric integers is given by Z() =: {e m : m Z}, where Z denotes the set of integers. Remar 1.1. Since it is nown that the base e of natural logarithm is transcendental, one can easily see that e Z() but e / Z \ {0}. This reveals that Z() Z \ {0}. We define the set C() of geometric complex numbers, as follows: C() := = {w = u i g v : u, v R() and i g = 1 e } {e z x (e y ) ln ei : e x, e y R() and e i } 1 = { e x+iy : x R; π < y π and i = 1 } = {e z : z C str }. It is easy to see that C() = C \ {0}. It is clear by the definition of complex exp function that α(z) z 0 for all z C str. Since α-generator is a bijective function, it maps all complex numbers without zero to the range set. Each generator generates exactly one arithmetic, and conversely each arithmetic is generated by exactly one generator. A complete field is a system consisting of a set A and four binary operations,,,. We call A the realm of complete field. By an arithmetic, we mean complete field whose realm is a subset of C.

4 20 CENİZ TÜRKMEN AND FEYZİ BAŞAR Consider any generator α with range A C. By α-arithmetic we mean the arithmetic whose realm is A and whose operations are defined as follows: For z, w C and any generator α, α addition : z w = α{α 1 (z) + α 1 (w)} α subtraction : z w = α{α 1 (z) α 1 (w)} α multiplication : z w = α{α 1 (z) α 1 (w)} α division : z w = α{α 1 (z) α 1 (w)} Particularly if we choose the α-generator as the identity function then α(z) = z for all z C which implies that α 1 (z) = z, that is to say that α-arithmetic is reduced to the classical arithmetic. α addition : z w = α{α 1 (z) + α 1 (w)} = α{z + w} = z + w : classical addition α subtraction : z w = α{α 1 (z) α 1 (w)} = α{z w} = z w : classical subtraction α multiplication : z w = α{α 1 (z) α 1 (w)} = α{z w} = z w : classic multiplication α division : z w = α{α 1 (z) α 1 (w)} = α{z w} = z w : classical division If we choose the α-generator as exp, then α(z) z for all z C which gives that α 1 (z) = ln z, that is to say that α-arithmetic is reduced to the eometric arithmetic. α addition : z w = α{α 1 (z) + α 1 (w)} {ln z+ln w} = z w : geometric addition α subtraction : z w = α{α 1 (z) α 1 (w)} {ln z ln w} = z w : geometric subtraction α multiplication : z w = α{α 1 (z) α 1 (w)} {ln z ln w} = z ln w : geometric multiplication α division : z w = α{α 1 (z) α 1 (w)} {ln z ln w} = z 1 ln w : geometric division Now we express signs and their equivalent forms in classical calculus by the following table: Following Bashirov et al. [1] and Uzer [7], the main purpose of this paper is to construct the classical sequence spaces with respect to geometric calculus over complex numbers. To do this, we need some preparatory nowledge about geometric calculus. The rest of the paper is organized, as follows: In Section 2, it is showed that the set C() of geometric complex numbers forms a field with the binary operations addition and multiplication. Further, the geometric exponent, surd and absolute value are defined and their some properties are given. Section 3 is devoted to the vector spaces over the field C() of geometric complex numbers. Additionally, some required inequalities are presented in the sense of geometric calculus and the concepts of geometric metric and geometric norm are introduced. In Section 4, subsequent to giving the corresponding results for the sequences of geometric complex numbers concerning the convergent sequences of real or complex numbers, it is stated and proved that the n-dimensional geometric complex space C n () is a complete metric space. In Section 5, prior to showing the sets ω(), l (), c(), c 0 () and l p () of all, bounded, convergent, null and absolutely p summable sequences are the complete metric spaces it is proved that each of those sets forms a vector space over the field C() with respect

5 SOME BASIC RESULTS ON THE SETS OF SEQUENCES 21 Name of signs Expression in (C) Equivalent form in (CC) geometric zero 1 e 0 geometric unity e e 1 geometric complex number z e x for x C str geometric absolute value z e x geometric imaginer i g = 1 e e i geometric complex number z = u (i g v) e m (e n ) ln ei ; m, n R geometric addition z w e x e y geometric subtraction z w e x /e y geometric multiplication z w (e x ln ey ) geometric division z w or z w (ex ) geometric summation geometric epsilon ε e ε 1 ln e y geometric exponent z p (e x ) lnp 1 e x geometric surd p z e (ln ex ) geometric ordering <,, >, <,, >, (identical with (CC)) geometric limit lim n zn lim n exn n lim (identical with (CC)) geometric supremum sup n z n (e sup n xn ) (identical with (CC)) T 1. Notation in (C) and equivalent form in (CC) 1 p to the algebraic operations addition and scalar multiplication. In the final section of the paper, we note the sicnificance of the geometric calculus and record some further suggestions. In the foundations of science (formerly titled, Physics: The Elements), Norman Robert Campbell, a pioneer in the theory of measurement, clearly recognized that alternative arithmetics might be useful in science, for he wrote, we must recognize the possibility that a system of measurement may be arbitrary otherwise than in the choice of unit; there may be arbitrariness in the choice of process of addition, [5]. We should now that all concept in classical arithmetic have natural counterparts in α arithmetic. For instance; α zero and α one turn out to be α(0) and α(1). Similarly the α integers turn out to be the following:..., α( 3), α( 2), α( 1), α(0), α(1), α(2), α(3),.... Particularly by choosing generator α(x) x then the set Z() of geometric integers and the set R() of geometric real numbers are given by Z() =: {e x : x Z} = Z \ {0}, R() =: {e x : x R} = R + \ {0}.

6 22 CENİZ TÜRKMEN AND FEYZİ BAŞAR 2. C F R P In the present section, we construct the geometric complex field C() and give its some properties. Define the binary operations addition and multiplication on the set C() of geometric complex numbers by : C() C() C() (z, w) z w = z w, : C() C() C() (z, w) z w = z ln w = w ln z for all z, w C(). Then we have: Theorem 2.1. (C(),, ) is a field. Proof. Since one can easily observe by routine verification that (i) (C(), ) is an Abelian group, (ii) (C() \ {1}, ) is an Abelian group, (iii) The operation is distributive over the operation, we conclude that (C(),, ) is a field. Now, we emphasize on the concepts of geometric exponent, surd and absolute value. Let x C(). Then, x-square, x-cube and pth power of x are defined in the sense of (C) as follows: x 2 = x x = x ln x x 3 = x x x = ( x ln x) ln x = x ln 2 x. x p = x x x... x = }{{} p times (( ((x ln x ) ln x ) ln x ) ) ln x = x lnp 1 x As a consequence of the concept geometric square x 2 of x C(), we define the geometric square root by x = y (ln y)1/2 if y = x 2 = x ln x. Since x C() with x y for y C str, we have x 2 (ln x 2 ) 1/2 [ln (xln x )] 1/2 [(ln ey ) 2 ] 1/2 y 2 y = e y = x which gives the following property about geometric surd: x 2 = x

7 SOME BASIC RESULTS ON THE SETS OF SEQUENCES 23 Similarly, we define pth root of geometric surd, as follows: Let x C() with x y and y C str. Then, pth root p x p is defined by p x p (ln x p ) p 1 1 [ln (xln(p 1) x p )] { [(y)p ] p 1 p y p e = y = x, if p even, e y = x, if p odd. α-absolute value x α of x A R is defined by x, x > α(0), x α = α(0), x = α(0), α(0) x, x < α(0), and α-distance is given by x 1 x 2 α for all x 1, x 2 A. Particularly choose I as α-generator, we obtain classical absolute value x of x R is defined, as usual, by x, x > 0, x = 0, x = 0, x, x < 0, and classical distance is given by x 1 x 2 for all x 1, x 2 R. Similarly, if we choose exp as α-generator, then we derive the geometric absolute value x of x R() with x y is defined by x = x, x > 1, 1, x = 1, x 1, x < 1, = e y = e y, e y > 1, 1, e y = 1, e y, e y < 1, and geometric-distance is given by x 1 x 2 = x 1 /x 2 for all x 1, x 2 R() or e y1 y2 = e y1 /e y2 for all y 1, y 2 R. Now, we can list some properties of geometric absolute value: 1) u R() with u > 1 is called as geometric positive number. Also, u R() with u < 1 is called as geometric negative number. u R() with u = 1 is called as geometric unsigned number. 2) For x 1, x 2 R() with x 1 y1, x 2 y2 it is immediate that x 1 x 2 = x 1 /x 2 = e y1 /e y2 = e y1 y2 y1 y2 y2 y1 = e y2 /e y1 = x 2 /x 1 = x 2 x 1. That is to say that is also symmetric with respect to subtraction. 3) In (CC), it is nown that x y = x y for all x, y C. Now, we are going to give the corresponding equality in (C). For u, v C() with e t = u, e z = v, since u v = u ln v = (e t ) ln (ez) ( t ) ln (e z ) t e z = u v

8 24 CENİZ TÜRKMEN AND FEYZİ BAŞAR we derive that the equality holds, as desired. u v = u v In (CC), the usual distance is given by z 1 z 2 = (x 1 x 2 ) 2 + (y 1 y 2 ) 2, where z 1, z 2 C with z 1 = x 1 + iy 1, z 2 = x 2 + iy 2. In (C), the geometric distance is defined by u 1 u 2 = (u 1 u 2 ) 2 (v1 v 2 ) 2 [ ln ( u 1 u ln 1 u 2 where u 1, u 2 C() with u 1 z1, u 2 z2 such that u 2 v v ln 1 )] 1/2 1 v v 2 2, z 1 = x 1 + iy 1, z 2 = x 2 + iy 2 C str. So e z1 = u 1, e z2 = u 2 C() and u 1 = u 1 v ln i 1, u 2 = u 2 v ln i 2 it is clear that u 1 x1, u 2 x2, v 1 y1, v 2 y2 We can define another way, replacing each exp function by its corresponding statement. u 1 u 2 = (u 1 u 2 ) 2 (v1 v 2 ) 2 [ ln ( u 1 u ln 1 u 2 u 2 v v ln 1 )] 1/2 1 v v 2 2 [ ( )] ln ex 1 e x 2 ln ex 1 e x 2 ey 1 e y 2 ln ey 1 1/2 e y 2 [ )] ln ( e x 1 x 2 ln e x 1 x 2 e y 1 y 2 ln e y 1 y 1/2 2 [ ln (e )] x 1 x 2 ln e x 1 x 2 e y 1 y 2 ln e y 1 y 2 1/2 [ ln (e )] x 1 x 2 2 e y 1 y 2 2 1/2 [ ln (e x 1 x y 1 y 2 2 )] 1/2 x1 x y 1 y 2 2 ln u 1 ln u ln v 1 ln v M S In this section, we deal with the vector spaces over the field C() of geometric complex numbers. Prior to giving the theorems on the geometric vector spaces, we prove the required inequalities in the sense of (C). Lemma 3.1. [Triangle inequality] Let x, y C(). Then, x y x y. (3.1)

9 SOME BASIC RESULTS ON THE SETS OF SEQUENCES 25 Proof. Let x, y C() with x u, y v. Then, by bearing in mind the triangle inequality in (CC) one can easily see that x y = e u+v u+v e u + v = e u e v = x y, i.e., the geometric triangle inequality in (3.1) holds. Lemma 3.2. Let u, v C(). Then, u v 1 u v u 1 u v 1 v. (3.2) Proof. For this purpose we use the auxiliary function f defined on C() by f(t) = t/ (1 t). eometric derivative f of f is f (t) 1 1+t 2 which is positive in the sense of (C). Hence f is monotone increasing. Consequently, the triangle inequality in (3.1) implies that f( u v ) f( u v ). Therefore, we have u v 1 u v = u v 1 u v u v 1 u v 1 u v u v, 1 u 1 v as desired. Now, we state and prove the Minowsi s inequality in the sense of (C). Lemma 3.3. [Minowsi s inequality] Let p 1 and a, b C() with a c, b d for {1, 2, 3,..., n}. Then, p n a b p p n a p p n b p. (3.3) Proof. Suppose that p 1 and a, b C() with a c, b d for {1, 2, 3,..., n}. Then, by taing into account the Minowsi s inequality in the

10 26 CENİZ TÜRKMEN AND FEYZİ BAŞAR sense of (CC) a direct calculation leads us to n p a b p as asserted. (ln n a b lnp 1 a b ) 1 p = = p [ [ ln n (e c +d ) lnp 1 (e c +d ) ] 1 p ln n (e c +d ) c +d p 1 ] 1 p [ ln e n c +d p ] p 1 e ( n c p ) p 1 +( n d p ) p 1 ( n ) ( n ) a lnp 1 a b lnp 1 b n a p p n b p Now, we can give the definition of the concepts metric and norm, in the sense of geometric calculus. Definition 3.4. Let X be any non-empty set. Then, a geometric metric space is a pair (X, d ), where d is a geometric metric function d : X X R + () such that the following geometric metric axioms hold: M1 d (x, y) = 1 if and only if x = y, M2 d (x, y) = d (y, x), (symmetry) M3 d (x, y) d (x, z) d (z, y), (triangle inequality) for all x, y, z X. Definition 3.5. Let X be a vector space over the field C() and be a function from X to R + () satisfying the following properties: For x, y X and α C(), N1 x = 1 if and only if x = θ, N2 αx = α x, N3 x y x y, (triangle inequality). Then, (X, ) is said a geometric normed space. It is trivial that a geometric norm on X defines a geometric metric d on X which is given by d (x, y) = x y ; (x, y X) and is called the geometric metric induced by the geometric norm.,

11 SOME BASIC RESULTS ON THE SETS OF SEQUENCES 27 It is not hard to show that (R(), d ) is a metric space with the usual metric d defined by d : R() R() R + () (x, y) d (x, y) = x y. eometric complex metric: Assuming z 1 = x 1 + iy 1, z 2 = x 2 + iy 2 C str so e z1 = w 1, e z2 = w 2 C() and w 1 = u 1 i v 1, w 2 = u 2 i v 2 it s clear that u 1 x1, u 2 x2, v 1 y1, v 2 y2 so we define the metric as follows d (w 1, w 2 ) = w 1 w 2 = (u 1 u 2 ) 2 (v1 v 2 ) 2 ln u 1 ln u ln v 1 ln v 2 2 Theorem 3.6. n-dimensional geometric complex Euclidian space C n () consists of all ordered n-tuples of geometric complex numbers is a metric space with the metric d defined by d : C n () C n () R + () (x, y) d (x, y) = ln n ( n x x ln ) 1/2 y y, (x y ) 2 (3.4) where x = (x 1, x 2,..., x n ), y = (y 1, y 2,..., y n ) C n (). Proof. One can easily see that the relation d given by (3.4) satisfies the axioms (M1) and (M2). (M3) also follows from (3.3) with p = 2, the Cauchy-Schwarz inequality. So, we omit the detail. 4. C C (C) Definition 4.1 (eometric convergent sequence). A sequence (x n ) in a metric space (X, d ) is said to be convergent if there is an x X such that lim n d (x n, x) = 1 then x is called the geometric limit of (x n ) and we write lim n x n = x or x n x, as n. Definition 4.2. [eometric Cauchy sequence] A sequence (x n ) in a geometric metric space X = (X, d ) is said to be geometric Cauchy if for every ε > 1 in R + (), there is an N = N(ε) such that x m x n < ε for all m, n > N. The space X is said to be geometric complete if every geometric Cauchy sequence converges in X. Theorem 4.3. Every geometric convergent sequence is a geometric Cauchy sequence.

12 28 CENİZ TÜRKMEN AND FEYZİ BAŞAR Proof. Suppose that (x n ) be a geometric convergent sequence with the limit x in a geometric metric space X = (X, d ). Then, for every ε > 1 there is an N = N(ε) such that d (x n, x) < ε 2 for all n > N. Hence by the geometric triangle inequality, we obtain for m, n > N that d (x m, x n ) d (x m, x) d (x, x n ) < ε 2 ε 2 = ε, which shows that (x n ) is geometric Cauchy, as asserted. Theorem 4.4. Let X = (X, d ) be a geometric metric space. Then, a convergent sequence in X is bounded and its geometric limit is unique. Proof. Suppose that (x n ) be a convergent sequence in a geometric metric space X with x n x. Then, taing ε, we can find an N such that d (x n, x) < e for all n > N. Hence by the geometric triangle inequality (M3), for all n we have d (x n, x) < e a, where a = max{d (x 1, x),..., d (X N, x)}. This shows that (x n ) is bounded. Assuming that x n x and xn z, we obtain from (M3) 1 d (x, z) d (x, x n ) d (x n, z) 1 1 = 1 and the uniqueness x = z of the geometric limit follows from (M1). Now, we can give the theorem on the completeness of the metric space (C n (), d ). Theorem 4.5. (C n (), d ) is complete. Proof. It is nown by{ Theorem } 3.6 that d defined by (3.4) is a metric on C n (). Suppose that (x m ) = x (m) is a Cauchy sequence in C n (), where ( ) x m = x (m) 1, x (m) 2, x (m) 3,..., x (m) n for each fixed m N. Since (x m ) is a geometric Cauchy, for every ε > 1 there is an N N such that n ( ) d (x m, x r ) = x (m) x (r) 2 < ε for all m, r > N. (4.1) eometric squaring, we have for all m, r > N and all {1, 2, 3,..., n} that ( ) x (m) x (r) 2 < ε 2 which is equivalent to x (m) x (r) < ε. This shows that for each fixed {1, 2,..., n}, ( x (1) ), x(2), x(3),... is a convergent sequence with x (m) x, as m. Using these n limits, we define x = (x 1, x 2, x 3,..., x n ) in C n (). From (4.1), letting r it is obtained that

13 SOME BASIC RESULTS ON THE SETS OF SEQUENCES 29 d (x m, x) ε for all m > N which shows that (x m ) converges in C n (). Consequently, (C n (), d ) is a complete metric space. Since it is nown that C n () is a complete metric space with the metric d defined by (3.4) induced by the norm, as a direct consequence of Theorem 4.5, we have: Corollary 1. C n () is a Banach space with the norm defined by x = n x 2, x = (x 1, x 2,..., x n ) C n (). 5. S S F C() In this section, we define the sets ω(), l (), c(), c 0 () and l p () of all, bounded, convergent, null and absolutely p summable sequences over the geometric complex field C() which correspond to the sets ω, l, c, c 0 and l p over the complex field C, respectively. That is to say that ω() = {x = (x ) : x C() for all N}, { } l () = x = (x ) ω() : sup x <, N { } c() = x = (x ) ω() : lim x l = 1, { } c 0 () = x = (x ) ω() : lim x = 1, { } l p () = x = (x ) ω() : x p <. =0 One can easily see that the set ω() forms a vector space over C() with respect to the algebraic operations addition and scalar multiplication defined on ω(), as follows: : ω() ω() ω() (x, y) x y = (x ) (y ) = (x y ), : C() ω() ω() (α, y) α y = α (y ) = (α ln y ), where x = (x ), y = (y ) ω() and α C(). It is not hard to show that the sets l (), c(), c 0 () and l p () are the subspaces of the space ω(). This means that l (), c(), c 0 () and l p () are the classical sequence spaces over the field C().

14 30 CENİZ TÜRKMEN AND FEYZİ BAŞAR Theorem 5.1. Define d on the space ω() by d (x, y) = x y 2 (1 x y ), where x = (x ), y = (y ) ω(). Then, (ω(), d ) is a metric space. Proof. Since the axioms (M1) and (M2) are easily satisfied, we omit the detail. Since the inequality x y 1 x y x z 1 x z z y 1 z y (5.1) holds by(3.2) for all x, y, z C(), multiplying the inequality (5.1) by 1 2 and nextly summing over 1 n one can derive that n n x y 2 (1 x y ) (5.2) n x z 2 (1 x z ) z y 2 (1 z y ). Additionally, since the inequalities x y 2 (1 x y ) 1 2, x z 2 (1 x z ) 1 2, z y 2 (1 z y ) 1 2 hold for all N, the comparison test yields that the series x y 2 (1 x y ), x z 2 (1 x z ), z y 2 (1 z y ).

15 SOME BASIC RESULTS ON THE SETS OF SEQUENCES 31 are geometric convergent. Therefore, by letting n in (5.2) that d (x, y) = x y 2 (1 x y ) x z 2 (1 x z ) = d (x, z) d (z, y), i.e., (M3) holds. This step completes the proof. Theorem 5.2. The inclusion ω() ω strictly holds. z y 2 (1 z y ) Proof. Let x = (x ) ω() with x y for all N. Then, x ω which shows that ω() ω. Although y = (y ) = (0, 0, 0,...) = θ ω, θ ω() since x y 0 for all N. Hence, the inclusion ω() ω is strict. Theorem 5.3. Define d on the geometric space λ() by d (x, y) = sup x y ; N where λ denotes any of the spaces l, c and c 0, and x = (x ), y = (y ) λ(). Then, (λ(), d ) is a complete metric space. Proof. Since the proof is similar for the spaces c() and c 0 (), we prove the theorem only for the space l (). Let x = (x ), y = (y ), z = (z ) l (). Then, (i) Suppose that d (x, y) = 1. This implies for all N that x y = x /y = 1, i.e., x = y. Conversely, let x = y. Then, we have x /y = x y = 1 which yields that d (x, y) = 1. That is to say that (M1) holds. (ii) It is immediate that d (x, y) = d (y, x), i.e., (M2) holds. (iii) By taing into account the triangle inequality in (3.1) we see that d (x, y) = sup x y N = sup x y z z N sup N x z sup y z N = d (x, z) + d (z, y). Hence, (M3) is satisfied. Since the axioms (M1) (M3) are satisfied, (l (), d ) is a metric space. It remains to prove the completeness of the space { l (). Let } (x m ) be any Cauchy sequence in the space l (), where x m = x (m) 1, x (m) 2,.... Then, for any

16 32 CENİZ TÜRKMEN AND FEYZİ BAŞAR ε > 1 there is an N such that for all m, n > N, d (x m, x n ) = sup x (m) N x (n) < ε. A fortiori, for every fixed N and for m, n > N x (m) x (n) < ε. (5.3) { } Hence for every fixed N, the sequence x m = x (1), x(2),... is a Cauchy sequence of geometric complex numbers. Since C() is a complete metric space by Theorem 4.5 with n = 1, it converges, say x (m) x as m. Using these infinitely many limits x 1, x 2,..., we define x = (x 1, x 2,...) and show that x l (). From (5.3) letting n and m > N we have x (m) x ε. (5.4) ( ) Since (x m ) = x (m) l (), there is a geometric real number m such that x (m) m for all N. Thus, (5.4) gives together with the triangle inequality in (3.1) for m > N that x x x (m) + x (m) ε + m. (5.5) It is clear that (5.5) holds for every N whose right-hand side does not involve. Hence (x ) is a bounded sequence of geometric complex numbers, i.e., x = (x ) l (). Also from (5.4) we obtain for m > N that d (x m, x) = sup x (m) x ε. N This shows that x m x, as m. Since (x m ) is an arbitrary geometric Cauchy sequence, l () is complete. Since it is nown by Theorem 5.3 that the spaces l (), c() and c 0 () are the complete metric spaces with the metric d induced by the norm, we have: Corollary 2. l (), c() and c 0 () are the Banach spaces with the norm defined by x = sup x ; x = (x 1, x 2,..., x n ) λ(), λ {l, c, c 0 }. N To avoid undue repetition in the statements, we give the final theorem is on the complete metric space l p () without proof.

17 SOME BASIC RESULTS ON THE SETS OF SEQUENCES 33 Theorem 5.4. Let d p be defined on the space l p () by d p (x, y) = ( =0 x y p Then, (l p (), d p ) is a complete metric space. ) (1 p), where x = (x ), y = (y ) l p (). Theorem 5.5. l p () is a Banach space with the norm p defined by ( ) (1 p) x p = x p, x = (x 1, x 2,..., x n ) l p (). =0 6. C Some of the analogies between (CC) and the (C) are demonstrated by theoretical examples. Some important inequalities such as triangle, Minowsi and some other inequalities in the sense of (C) which are frequently used, are proved. We derive classical sequence spaces in the sense of geometric calculus and try to understand their structure of being geometric vector space. enerally we wor on vector spaces which concern physics and computing. There are lots of techniques that have been developed in the sense of the (CC). If the (C) is employed together with the (CC) in the formulations, then many of the complicated phenomena in physics or engineering may be analyzed more easily. Quite recently, Talo and Başar have studied the certain sets of sequences of fuzzy numbers and introduced the classical sets l (F ), c(f ), c 0 (F ) and l p (F ) consisting of the bounded, convergent, null and absolutely p-summable sequences of fuzzy numbers in [6]. Nextly, they have defined the α-, β- and γ-duals of a set of sequences of fuzzy numbers, and gave the duals of the classical sets of sequences of fuzzy numbers together with the characterization of the classes of infinite matrices of fuzzy numbers transforming one of the classical set into another one. Following Bashirov et al. [1] and Uzer [7], we have given the corresponding results for geometric calculus to the results derived for fuzzy valued sequences in Talo and Başar [6], as a beginning. As a natural continuation of this paper, we should record from now on that it is meaningful to define the α-, β- and γ-duals of a set of sequences of geometric complex numbers, and to determine the duals of classical spaces l (), c(), c 0 () and l p (). Further, one can obtain the similar results by using another type of calculus instead of geometric calculus. A The authors wish to express their pleasure to Professor Agamirza E. Bashirov, Department of Mathematics, Eastern Mediterranean University, azimagusa - North Cyprus, via Mersin 10 - Turey, for his careful reading of an earlier version of this paper and constructive suggestions which led to some improvements of the paper.

18 34 CENİZ TÜRKMEN AND FEYZİ BAŞAR The authors also would lie to than Professor Ali Uzer, Department of Electrical and Electronics Engineering, Fatih University, Büyüçemece İstanbul, TURKEY, for his maing some useful comments which improved the presentation of the paper. Özet: Klâsi hesap tarzına bir alternatif olara rossman ve Katz, [Non-Newtonian Calculus, Lee Press, Pigeon Cove, Massachusetts, 1972] ünyeli eserlerinde geometri, anageometri ve bigeometri adlıçeşitleriyle Newtonyen olmayan hesap tarzınıliteratüre sunmuşlardı. Bu çalışmada; rossman ve Katz taip edilere geometri omples sayıların C() cismi ve geometri metri avramıinşa edilmiştir. Daha sonra geometri hesap tarzına göre üçgen ve Minowsi eşitsizlileri ispat edilere geometri omples değerli bütün dizilerin ω(), sınırlıdizilerin l (), yaınsa dizilerin c(), sıfıra yaınsayan dizilerin c 0 () ve p-mutla toplanabilen dizilerin l p () cümlelerinin C() cismi üzerinde birer vetör uzayıteşil ettileri ve üzerlerinde tanımlanan metrilere göre birer tam metri uzay oldularıgösterilmiştir. R [1] A.E. Bashirov, E.M. Kurpınar, A. Özyapıcı, Multiplicative calculus and its applications, J. Math. Anal. Appl. 337(2008), [2] A. Bashirov, M. R iza, On complex multiplicative diff erentiation, TWMS J. App. Eng. Math. 1(1)(2011), [3] A.E. Bashirov, E. Mısırlı, Y. Tandoğdu, A. Özyapıcı, On modeling with multiplicative diff erential equations, Appl. Math. J. Chinese Univ. 26(4)(2011), [4] A.F. Çama, F. Başar, On the classical sequence spaces and non-newtonian calculus, J. Inequal. Appl. 2012, Art. ID , 13 pp. [5] M. rossman, R. Katz, Non-Newtonian Calculus, Lowell Technological Institute, [6] Ö. Talo, F. Başar, Determination of the duals of classical sets of sequences of fuzzy numbers and related matrix transformations, Comput. Math. Appl. 58(2009), [7] A. Uzer, Multiplicative type complex calculus as an alternative to the classical calculus, Comput. Math. Appl. 60(2010), Current address: Cengiz Türmen: The raduate School of Sciences and Engineering, Fatih University, The Hadımöy Campus, Büyüçemece, İstanbul, TURKEY Feyzi Başar: Fatih University, Faculty of Art and Sciences, Department of Mathematics, The Hadımöy Campus, Büyüçemece, İstanbul, TURKEY address: cturmen10@gmail.com, fbasar@fatih.edu.tr, feyzibasar@gmail.com URL:

G-CALCULUS. Keywords: Geometric real numbers; geometric arithmetic; bigeometric derivative.

G-CALCULUS. Keywords: Geometric real numbers; geometric arithmetic; bigeometric derivative. TWMS J. App. Eng. Math. V.8, N.1, 2018, pp. 94-105 -CALCULUS K. BORUAH 1, B. HAZARIKA 1, Abstract. Based on M. rossman in 13] and rossman an Katz 12], in this paper we prove geometric Rolle s theorem,

More information

MULTIPLICATIVE GENERALIZED METRIC SPACES AND FIXED POINT THEOREMS

MULTIPLICATIVE GENERALIZED METRIC SPACES AND FIXED POINT THEOREMS Journal of Mathematical Analysis ISS: 2217-3412, URL: www.ilirias.com/jma Volume 8 Issue 1 (2017), Pages 212-224. MULTIPLICATIVE GEERALIZED METRIC SPACES AD FIXED POIT THEOREMS MURAT KIRIŞCI Abstract.

More information

On the Spaces of Nörlund Almost Null and Nörlund Almost Convergent Sequences

On the Spaces of Nörlund Almost Null and Nörlund Almost Convergent Sequences Filomat 30:3 (206), 773 783 DOI 0.2298/FIL603773T Published by Faculty of Sciences and Mathematics, University of Niš, Serbia Available at: http://www.pmf.ni.ac.rs/filomat On the Spaces of Nörlund Almost

More information

Sequences. Chapter 3. n + 1 3n + 2 sin n n. 3. lim (ln(n + 1) ln n) 1. lim. 2. lim. 4. lim (1 + n)1/n. Answers: 1. 1/3; 2. 0; 3. 0; 4. 1.

Sequences. Chapter 3. n + 1 3n + 2 sin n n. 3. lim (ln(n + 1) ln n) 1. lim. 2. lim. 4. lim (1 + n)1/n. Answers: 1. 1/3; 2. 0; 3. 0; 4. 1. Chapter 3 Sequences Both the main elements of calculus (differentiation and integration) require the notion of a limit. Sequences will play a central role when we work with limits. Definition 3.. A Sequence

More information

Banach Algebras of Matrix Transformations Between Spaces of Strongly Bounded and Summable Sequences

Banach Algebras of Matrix Transformations Between Spaces of Strongly Bounded and Summable Sequences Advances in Dynamical Systems and Applications ISSN 0973-532, Volume 6, Number, pp. 9 09 20 http://campus.mst.edu/adsa Banach Algebras of Matrix Transformations Between Spaces of Strongly Bounded and Summable

More information

Solvability of Bigeometric Differential Equations by Numerical Methods. Key Words: Bigeometric-calculus, geometric real numbers, geometric arithmetic.

Solvability of Bigeometric Differential Equations by Numerical Methods. Key Words: Bigeometric-calculus, geometric real numbers, geometric arithmetic. Bol. Soc. Paran. Mat. (3s.) v. 00 0 (0000):????. c SPM ISSN-2175-1188 on line ISSN-00378712 in press SPM: www.spm.uem.br/bspm doi:10.529/bspm.39444 Solvability of Bigeometric Differential Equations by

More information

Jordan Journal of Mathematics and Statistics (JJMS) 8(3), 2015, pp THE NORM OF CERTAIN MATRIX OPERATORS ON NEW DIFFERENCE SEQUENCE SPACES

Jordan Journal of Mathematics and Statistics (JJMS) 8(3), 2015, pp THE NORM OF CERTAIN MATRIX OPERATORS ON NEW DIFFERENCE SEQUENCE SPACES Jordan Journal of Mathematics and Statistics (JJMS) 8(3), 2015, pp 223-237 THE NORM OF CERTAIN MATRIX OPERATORS ON NEW DIFFERENCE SEQUENCE SPACES H. ROOPAEI (1) AND D. FOROUTANNIA (2) Abstract. The purpose

More information

RECENT RESULTS ON THE DOMAIN OF THE SOME LIMITATION METHODS IN THE SEQUENCE SPACES f 0 AND f

RECENT RESULTS ON THE DOMAIN OF THE SOME LIMITATION METHODS IN THE SEQUENCE SPACES f 0 AND f http://wwwnewtheoryorg ISSN: 249-402 Received: 0902205 Year: 205, Number: 2, Pages: 43-54 Accepted: 202205 Original Article ** RECENT RESULTS ON THE DOMAIN OF THE SOME LIMITATION METHODS IN THE SEQUENCE

More information

CHAPTER II HILBERT SPACES

CHAPTER II HILBERT SPACES CHAPTER II HILBERT SPACES 2.1 Geometry of Hilbert Spaces Definition 2.1.1. Let X be a complex linear space. An inner product on X is a function, : X X C which satisfies the following axioms : 1. y, x =

More information

PROBLEMS. (b) (Polarization Identity) Show that in any inner product space

PROBLEMS. (b) (Polarization Identity) Show that in any inner product space 1 Professor Carl Cowen Math 54600 Fall 09 PROBLEMS 1. (Geometry in Inner Product Spaces) (a) (Parallelogram Law) Show that in any inner product space x + y 2 + x y 2 = 2( x 2 + y 2 ). (b) (Polarization

More information

ON CONVERGENCE OF DOUBLE SEQUENCES OF FUNCTIONS

ON CONVERGENCE OF DOUBLE SEQUENCES OF FUNCTIONS Electronic Journal of Mathematical Analysis and Applications, Vol. 2(2) July 2014, pp. 67-72. ISSN: 2090-792X (online) http://fcag-egypt.com/journals/ejmaa/ ON CONVERGENCE OF DOUBLE SEQUENCES OF FUNCTIONS

More information

Zweier I-Convergent Sequence Spaces

Zweier I-Convergent Sequence Spaces Chapter 2 Zweier I-Convergent Sequence Spaces In most sciences one generation tears down what another has built and what one has established another undoes. In mathematics alone each generation builds

More information

Lecture 3. Econ August 12

Lecture 3. Econ August 12 Lecture 3 Econ 2001 2015 August 12 Lecture 3 Outline 1 Metric and Metric Spaces 2 Norm and Normed Spaces 3 Sequences and Subsequences 4 Convergence 5 Monotone and Bounded Sequences Announcements: - Friday

More information

MATH 426, TOPOLOGY. p 1.

MATH 426, TOPOLOGY. p 1. MATH 426, TOPOLOGY THE p-norms In this document we assume an extended real line, where is an element greater than all real numbers; the interval notation [1, ] will be used to mean [1, ) { }. 1. THE p

More information

On some I-convergent sequence spaces defined by a compact operator

On some I-convergent sequence spaces defined by a compact operator Annals of the University of Craiova, Mathematics and Computer Science Series Volume 43(2), 2016, Pages 141 150 ISSN: 1223-6934 On some I-convergent sequence spaces defined by a compact operator Vaeel A.

More information

Part III. 10 Topological Space Basics. Topological Spaces

Part III. 10 Topological Space Basics. Topological Spaces Part III 10 Topological Space Basics Topological Spaces Using the metric space results above as motivation we will axiomatize the notion of being an open set to more general settings. Definition 10.1.

More information

Finite-dimensional spaces. C n is the space of n-tuples x = (x 1,..., x n ) of complex numbers. It is a Hilbert space with the inner product

Finite-dimensional spaces. C n is the space of n-tuples x = (x 1,..., x n ) of complex numbers. It is a Hilbert space with the inner product Chapter 4 Hilbert Spaces 4.1 Inner Product Spaces Inner Product Space. A complex vector space E is called an inner product space (or a pre-hilbert space, or a unitary space) if there is a mapping (, )

More information

Prof. M. Saha Professor of Mathematics The University of Burdwan West Bengal, India

Prof. M. Saha Professor of Mathematics The University of Burdwan West Bengal, India CHAPTER 9 BY Prof. M. Saha Professor of Mathematics The University of Burdwan West Bengal, India E-mail : mantusaha.bu@gmail.com Introduction and Objectives In the preceding chapters, we discussed normed

More information

Exercises to Applied Functional Analysis

Exercises to Applied Functional Analysis Exercises to Applied Functional Analysis Exercises to Lecture 1 Here are some exercises about metric spaces. Some of the solutions can be found in my own additional lecture notes on Blackboard, as the

More information

Introduction to Real Analysis Alternative Chapter 1

Introduction to Real Analysis Alternative Chapter 1 Christopher Heil Introduction to Real Analysis Alternative Chapter 1 A Primer on Norms and Banach Spaces Last Updated: March 10, 2018 c 2018 by Christopher Heil Chapter 1 A Primer on Norms and Banach Spaces

More information

Introduction and Preliminaries

Introduction and Preliminaries Chapter 1 Introduction and Preliminaries This chapter serves two purposes. The first purpose is to prepare the readers for the more systematic development in later chapters of methods of real analysis

More information

Analysis Finite and Infinite Sets The Real Numbers The Cantor Set

Analysis Finite and Infinite Sets The Real Numbers The Cantor Set Analysis Finite and Infinite Sets Definition. An initial segment is {n N n n 0 }. Definition. A finite set can be put into one-to-one correspondence with an initial segment. The empty set is also considered

More information

Czechoslovak Mathematical Journal

Czechoslovak Mathematical Journal Czechoslovak Mathematical Journal Oktay Duman; Cihan Orhan µ-statistically convergent function sequences Czechoslovak Mathematical Journal, Vol. 54 (2004), No. 2, 413 422 Persistent URL: http://dml.cz/dmlcz/127899

More information

Hilbert spaces. 1. Cauchy-Schwarz-Bunyakowsky inequality

Hilbert spaces. 1. Cauchy-Schwarz-Bunyakowsky inequality (October 29, 2016) Hilbert spaces Paul Garrett garrett@math.umn.edu http://www.math.umn.edu/ garrett/ [This document is http://www.math.umn.edu/ garrett/m/fun/notes 2016-17/03 hsp.pdf] Hilbert spaces are

More information

Your first day at work MATH 806 (Fall 2015)

Your first day at work MATH 806 (Fall 2015) Your first day at work MATH 806 (Fall 2015) 1. Let X be a set (with no particular algebraic structure). A function d : X X R is called a metric on X (and then X is called a metric space) when d satisfies

More information

An introduction to some aspects of functional analysis

An introduction to some aspects of functional analysis An introduction to some aspects of functional analysis Stephen Semmes Rice University Abstract These informal notes deal with some very basic objects in functional analysis, including norms and seminorms

More information

Regular finite Markov chains with interval probabilities

Regular finite Markov chains with interval probabilities 5th International Symposium on Imprecise Probability: Theories and Applications, Prague, Czech Republic, 2007 Regular finite Markov chains with interval probabilities Damjan Škulj Faculty of Social Sciences

More information

On the Domain of Riesz Mean in the Space L s *

On the Domain of Riesz Mean in the Space L s * Filomat 3:4 207, 925 940 DOI 0.2298/FIL704925Y Published by Faculty of Sciences and Mathematics, University of Niš, Serbia Available at: http://www.pmf.ni.ac.rs/filomat On the Domain of Riesz Mean in the

More information

MATH3283W LECTURE NOTES: WEEK 6 = 5 13, = 2 5, 1 13

MATH3283W LECTURE NOTES: WEEK 6 = 5 13, = 2 5, 1 13 MATH383W LECTURE NOTES: WEEK 6 //00 Recursive sequences (cont.) Examples: () a =, a n+ = 3 a n. The first few terms are,,, 5 = 5, 3 5 = 5 3, Since 5

More information

Week 2: Sequences and Series

Week 2: Sequences and Series QF0: Quantitative Finance August 29, 207 Week 2: Sequences and Series Facilitator: Christopher Ting AY 207/208 Mathematicians have tried in vain to this day to discover some order in the sequence of prime

More information

Convergent Iterative Algorithms in the 2-inner Product Space R n

Convergent Iterative Algorithms in the 2-inner Product Space R n Int. J. Open Problems Compt. Math., Vol. 6, No. 4, December 2013 ISSN 1998-6262; Copyright c ICSRS Publication, 2013 www.i-csrs.org Convergent Iterative Algorithms in the 2-inner Product Space R n Iqbal

More information

MATH 1A, Complete Lecture Notes. Fedor Duzhin

MATH 1A, Complete Lecture Notes. Fedor Duzhin MATH 1A, Complete Lecture Notes Fedor Duzhin 2007 Contents I Limit 6 1 Sets and Functions 7 1.1 Sets................................. 7 1.2 Functions.............................. 8 1.3 How to define a

More information

Banach Spaces II: Elementary Banach Space Theory

Banach Spaces II: Elementary Banach Space Theory BS II c Gabriel Nagy Banach Spaces II: Elementary Banach Space Theory Notes from the Functional Analysis Course (Fall 07 - Spring 08) In this section we introduce Banach spaces and examine some of their

More information

Lecture 4 Lebesgue spaces and inequalities

Lecture 4 Lebesgue spaces and inequalities Lecture 4: Lebesgue spaces and inequalities 1 of 10 Course: Theory of Probability I Term: Fall 2013 Instructor: Gordan Zitkovic Lecture 4 Lebesgue spaces and inequalities Lebesgue spaces We have seen how

More information

arxiv: v1 [math.cv] 14 Nov 2017

arxiv: v1 [math.cv] 14 Nov 2017 EXTENDING A FUNCTION JUST BY MULTIPLYING AND DIVIDING FUNCTION VALUES: SMOOTHNESS AND PRIME IDENTITIES arxiv:1711.07887v1 [math.cv] 14 Nov 2017 PATRICK ARTHUR MILLER ABSTRACT. We describe a purely-multiplicative

More information

5 Measure theory II. (or. lim. Prove the proposition. 5. For fixed F A and φ M define the restriction of φ on F by writing.

5 Measure theory II. (or. lim. Prove the proposition. 5. For fixed F A and φ M define the restriction of φ on F by writing. 5 Measure theory II 1. Charges (signed measures). Let (Ω, A) be a σ -algebra. A map φ: A R is called a charge, (or signed measure or σ -additive set function) if φ = φ(a j ) (5.1) A j for any disjoint

More information

MA257: INTRODUCTION TO NUMBER THEORY LECTURE NOTES

MA257: INTRODUCTION TO NUMBER THEORY LECTURE NOTES MA257: INTRODUCTION TO NUMBER THEORY LECTURE NOTES 2018 57 5. p-adic Numbers 5.1. Motivating examples. We all know that 2 is irrational, so that 2 is not a square in the rational field Q, but that we can

More information

p-summable SEQUENCE SPACES WITH INNER PRODUCTS

p-summable SEQUENCE SPACES WITH INNER PRODUCTS p-summable SEQUENCE SPACES WITH INNER PRODUCTS HENDRA GUNAWAN, SUKRAN KONCA AND MOCHAMMAD IDRIS 3 Abstract. We revisit the space l p of p-summable sequences of real numbers. In particular, we show that

More information

1. Continuous Functions between Euclidean spaces

1. Continuous Functions between Euclidean spaces Math 441 Topology Fall 2012 Metric Spaces by John M. Lee This handout should be read between Chapters 1 and 2 of the text. It incorporates material from notes originally prepared by Steve Mitchell and

More information

Economics 204 Summer/Fall 2011 Lecture 5 Friday July 29, 2011

Economics 204 Summer/Fall 2011 Lecture 5 Friday July 29, 2011 Economics 204 Summer/Fall 2011 Lecture 5 Friday July 29, 2011 Section 2.6 (cont.) Properties of Real Functions Here we first study properties of functions from R to R, making use of the additional structure

More information

Numerical Sequences and Series

Numerical Sequences and Series Numerical Sequences and Series Written by Men-Gen Tsai email: b89902089@ntu.edu.tw. Prove that the convergence of {s n } implies convergence of { s n }. Is the converse true? Solution: Since {s n } is

More information

BEST APPROXIMATIONS AND ORTHOGONALITIES IN 2k-INNER PRODUCT SPACES. Seong Sik Kim* and Mircea Crâşmăreanu. 1. Introduction

BEST APPROXIMATIONS AND ORTHOGONALITIES IN 2k-INNER PRODUCT SPACES. Seong Sik Kim* and Mircea Crâşmăreanu. 1. Introduction Bull Korean Math Soc 43 (2006), No 2, pp 377 387 BEST APPROXIMATIONS AND ORTHOGONALITIES IN -INNER PRODUCT SPACES Seong Sik Kim* and Mircea Crâşmăreanu Abstract In this paper, some characterizations of

More information

Estimates for probabilities of independent events and infinite series

Estimates for probabilities of independent events and infinite series Estimates for probabilities of independent events and infinite series Jürgen Grahl and Shahar evo September 9, 06 arxiv:609.0894v [math.pr] 8 Sep 06 Abstract This paper deals with finite or infinite sequences

More information

AN IMPROVED MENSHOV-RADEMACHER THEOREM

AN IMPROVED MENSHOV-RADEMACHER THEOREM PROCEEDINGS OF THE AMERICAN MATHEMATICAL SOCIETY Volume 124, Number 3, March 1996 AN IMPROVED MENSHOV-RADEMACHER THEOREM FERENC MÓRICZ AND KÁROLY TANDORI (Communicated by J. Marshall Ash) Abstract. We

More information

Math 350 Fall 2011 Notes about inner product spaces. In this notes we state and prove some important properties of inner product spaces.

Math 350 Fall 2011 Notes about inner product spaces. In this notes we state and prove some important properties of inner product spaces. Math 350 Fall 2011 Notes about inner product spaces In this notes we state and prove some important properties of inner product spaces. First, recall the dot product on R n : if x, y R n, say x = (x 1,...,

More information

Polar Form of a Complex Number (I)

Polar Form of a Complex Number (I) Polar Form of a Complex Number (I) The polar form of a complex number z = x + iy is given by z = r (cos θ + i sin θ) where θ is the angle from the real axes to the vector z and r is the modulus of z, i.e.

More information

MAT 570 REAL ANALYSIS LECTURE NOTES. Contents. 1. Sets Functions Countability Axiom of choice Equivalence relations 9

MAT 570 REAL ANALYSIS LECTURE NOTES. Contents. 1. Sets Functions Countability Axiom of choice Equivalence relations 9 MAT 570 REAL ANALYSIS LECTURE NOTES PROFESSOR: JOHN QUIGG SEMESTER: FALL 204 Contents. Sets 2 2. Functions 5 3. Countability 7 4. Axiom of choice 8 5. Equivalence relations 9 6. Real numbers 9 7. Extended

More information

Part 2 Continuous functions and their properties

Part 2 Continuous functions and their properties Part 2 Continuous functions and their properties 2.1 Definition Definition A function f is continuous at a R if, and only if, that is lim f (x) = f (a), x a ε > 0, δ > 0, x, x a < δ f (x) f (a) < ε. Notice

More information

1 Background and Review Material

1 Background and Review Material 1 Background and Review Material 1.1 Vector Spaces Let V be a nonempty set and consider the following two operations on elements of V : (x,y) x + y maps V V V (addition) (1.1) (α, x) αx maps F V V (scalar

More information

International Journal of Mathematical Archive-8(5), 2017, Available online through ISSN

International Journal of Mathematical Archive-8(5), 2017, Available online through   ISSN International Journal of Mathematical Archive-8(5), 07, 5-55 Available online through wwwijmainfo ISSN 9 5046 GENERALIZED gic-rate SEQUENCE SPACES OF DIFFERENCE SEQUENCE OF MODAL INTERVAL NUMBERS DEFINED

More information

Contents Ordered Fields... 2 Ordered sets and fields... 2 Construction of the Reals 1: Dedekind Cuts... 2 Metric Spaces... 3

Contents Ordered Fields... 2 Ordered sets and fields... 2 Construction of the Reals 1: Dedekind Cuts... 2 Metric Spaces... 3 Analysis Math Notes Study Guide Real Analysis Contents Ordered Fields 2 Ordered sets and fields 2 Construction of the Reals 1: Dedekind Cuts 2 Metric Spaces 3 Metric Spaces 3 Definitions 4 Separability

More information

4 Expectation & the Lebesgue Theorems

4 Expectation & the Lebesgue Theorems STA 205: Probability & Measure Theory Robert L. Wolpert 4 Expectation & the Lebesgue Theorems Let X and {X n : n N} be random variables on a probability space (Ω,F,P). If X n (ω) X(ω) for each ω Ω, does

More information

* 8 Groups, with Appendix containing Rings and Fields.

* 8 Groups, with Appendix containing Rings and Fields. * 8 Groups, with Appendix containing Rings and Fields Binary Operations Definition We say that is a binary operation on a set S if, and only if, a, b, a b S Implicit in this definition is the idea that

More information

Quintic Functional Equations in Non-Archimedean Normed Spaces

Quintic Functional Equations in Non-Archimedean Normed Spaces Journal of Mathematical Extension Vol. 9, No., (205), 5-63 ISSN: 735-8299 URL: http://www.ijmex.com Quintic Functional Equations in Non-Archimedean Normed Spaces A. Bodaghi Garmsar Branch, Islamic Azad

More information

Theorems. Theorem 1.11: Greatest-Lower-Bound Property. Theorem 1.20: The Archimedean property of. Theorem 1.21: -th Root of Real Numbers

Theorems. Theorem 1.11: Greatest-Lower-Bound Property. Theorem 1.20: The Archimedean property of. Theorem 1.21: -th Root of Real Numbers Page 1 Theorems Wednesday, May 9, 2018 12:53 AM Theorem 1.11: Greatest-Lower-Bound Property Suppose is an ordered set with the least-upper-bound property Suppose, and is bounded below be the set of lower

More information

ON GENERALIZED n-inner PRODUCT SPACES

ON GENERALIZED n-inner PRODUCT SPACES Novi Sad J Math Vol 41, No 2, 2011, 73-80 ON GENERALIZED n-inner PRODUCT SPACES Renu Chugh 1, Sushma Lather 2 Abstract The primary purpose of this paper is to derive a generalized (n k) inner product with

More information

The following definition is fundamental.

The following definition is fundamental. 1. Some Basics from Linear Algebra With these notes, I will try and clarify certain topics that I only quickly mention in class. First and foremost, I will assume that you are familiar with many basic

More information

INTRODUCTION TO REAL ANALYSIS II MATH 4332 BLECHER NOTES

INTRODUCTION TO REAL ANALYSIS II MATH 4332 BLECHER NOTES INTRODUCTION TO REAL ANALYSIS II MATH 4332 BLECHER NOTES You will be expected to reread and digest these typed notes after class, line by line, trying to follow why the line is true, for example how it

More information

GELFAND S THEOREM. Christopher McMurdie. Advisor: Arlo Caine. Spring 2004

GELFAND S THEOREM. Christopher McMurdie. Advisor: Arlo Caine. Spring 2004 GELFAND S THEOREM Christopher McMurdie Advisor: Arlo Caine Super Advisor: Dr Doug Pickrell Spring 004 This paper is a proof of the first part of Gelfand s Theorem, which states the following: Every compact,

More information

MATHS 730 FC Lecture Notes March 5, Introduction

MATHS 730 FC Lecture Notes March 5, Introduction 1 INTRODUCTION MATHS 730 FC Lecture Notes March 5, 2014 1 Introduction Definition. If A, B are sets and there exists a bijection A B, they have the same cardinality, which we write as A, #A. If there exists

More information

Probability and Measure

Probability and Measure Part II Year 2018 2017 2016 2015 2014 2013 2012 2011 2010 2009 2008 2007 2006 2005 2018 84 Paper 4, Section II 26J Let (X, A) be a measurable space. Let T : X X be a measurable map, and µ a probability

More information

Summary of Real Analysis by Royden

Summary of Real Analysis by Royden Summary of Real Analysis by Royden Dan Hathaway May 2010 This document is a summary of the theorems and definitions and theorems from Part 1 of the book Real Analysis by Royden. In some areas, such as

More information

4 Sums of Independent Random Variables

4 Sums of Independent Random Variables 4 Sums of Independent Random Variables Standing Assumptions: Assume throughout this section that (,F,P) is a fixed probability space and that X 1, X 2, X 3,... are independent real-valued random variables

More information

Course 212: Academic Year Section 1: Metric Spaces

Course 212: Academic Year Section 1: Metric Spaces Course 212: Academic Year 1991-2 Section 1: Metric Spaces D. R. Wilkins Contents 1 Metric Spaces 3 1.1 Distance Functions and Metric Spaces............. 3 1.2 Convergence and Continuity in Metric Spaces.........

More information

Some Background Material

Some Background Material Chapter 1 Some Background Material In the first chapter, we present a quick review of elementary - but important - material as a way of dipping our toes in the water. This chapter also introduces important

More information

ANALYSIS QUALIFYING EXAM FALL 2017: SOLUTIONS. 1 cos(nx) lim. n 2 x 2. g n (x) = 1 cos(nx) n 2 x 2. x 2.

ANALYSIS QUALIFYING EXAM FALL 2017: SOLUTIONS. 1 cos(nx) lim. n 2 x 2. g n (x) = 1 cos(nx) n 2 x 2. x 2. ANALYSIS QUALIFYING EXAM FALL 27: SOLUTIONS Problem. Determine, with justification, the it cos(nx) n 2 x 2 dx. Solution. For an integer n >, define g n : (, ) R by Also define g : (, ) R by g(x) = g n

More information

On intermediate value theorem in ordered Banach spaces for noncompact and discontinuous mappings

On intermediate value theorem in ordered Banach spaces for noncompact and discontinuous mappings Int. J. Nonlinear Anal. Appl. 7 (2016) No. 1, 295-300 ISSN: 2008-6822 (electronic) http://dx.doi.org/10.22075/ijnaa.2015.341 On intermediate value theorem in ordered Banach spaces for noncompact and discontinuous

More information

Contents. 2.1 Vectors in R n. Linear Algebra (part 2) : Vector Spaces (by Evan Dummit, 2017, v. 2.50) 2 Vector Spaces

Contents. 2.1 Vectors in R n. Linear Algebra (part 2) : Vector Spaces (by Evan Dummit, 2017, v. 2.50) 2 Vector Spaces Linear Algebra (part 2) : Vector Spaces (by Evan Dummit, 2017, v 250) Contents 2 Vector Spaces 1 21 Vectors in R n 1 22 The Formal Denition of a Vector Space 4 23 Subspaces 6 24 Linear Combinations and

More information

Complex numbers, the exponential function, and factorization over C

Complex numbers, the exponential function, and factorization over C Complex numbers, the exponential function, and factorization over C 1 Complex Numbers Recall that for every non-zero real number x, its square x 2 = x x is always positive. Consequently, R does not contain

More information

Sequences. We know that the functions can be defined on any subsets of R. As the set of positive integers

Sequences. We know that the functions can be defined on any subsets of R. As the set of positive integers Sequences We know that the functions can be defined on any subsets of R. As the set of positive integers Z + is a subset of R, we can define a function on it in the following manner. f: Z + R f(n) = a

More information

GENERALIZED CANTOR SETS AND SETS OF SUMS OF CONVERGENT ALTERNATING SERIES

GENERALIZED CANTOR SETS AND SETS OF SUMS OF CONVERGENT ALTERNATING SERIES Journal of Applied Analysis Vol. 7, No. 1 (2001), pp. 131 150 GENERALIZED CANTOR SETS AND SETS OF SUMS OF CONVERGENT ALTERNATING SERIES M. DINDOŠ Received September 7, 2000 and, in revised form, February

More information

17. Convergence of Random Variables

17. Convergence of Random Variables 7. Convergence of Random Variables In elementary mathematics courses (such as Calculus) one speaks of the convergence of functions: f n : R R, then lim f n = f if lim f n (x) = f(x) for all x in R. This

More information

Econ Lecture 3. Outline. 1. Metric Spaces and Normed Spaces 2. Convergence of Sequences in Metric Spaces 3. Sequences in R and R n

Econ Lecture 3. Outline. 1. Metric Spaces and Normed Spaces 2. Convergence of Sequences in Metric Spaces 3. Sequences in R and R n Econ 204 2011 Lecture 3 Outline 1. Metric Spaces and Normed Spaces 2. Convergence of Sequences in Metric Spaces 3. Sequences in R and R n 1 Metric Spaces and Metrics Generalize distance and length notions

More information

Normed Vector Spaces and Double Duals

Normed Vector Spaces and Double Duals Normed Vector Spaces and Double Duals Mathematics 481/525 In this note we look at a number of infinite-dimensional R-vector spaces that arise in analysis, and we consider their dual and double dual spaces

More information

The Sequence Space bv and Some Applications

The Sequence Space bv and Some Applications Mathematica Aeterna, Vol. 4, 2014, no. 3, 207-223 The Sequence Space bv and Some Applications Murat Kirişci Department of Mathematical Education, Hasan Ali Yücel Education Faculty, Istanbul University,

More information

THE CYCLIC DOUGLAS RACHFORD METHOD FOR INCONSISTENT FEASIBILITY PROBLEMS

THE CYCLIC DOUGLAS RACHFORD METHOD FOR INCONSISTENT FEASIBILITY PROBLEMS THE CYCLIC DOUGLAS RACHFORD METHOD FOR INCONSISTENT FEASIBILITY PROBLEMS JONATHAN M. BORWEIN AND MATTHEW K. TAM Abstract. We analyse the behaviour of the newly introduced cyclic Douglas Rachford algorithm

More information

MATH 423 Linear Algebra II Lecture 3: Subspaces of vector spaces. Review of complex numbers. Vector space over a field.

MATH 423 Linear Algebra II Lecture 3: Subspaces of vector spaces. Review of complex numbers. Vector space over a field. MATH 423 Linear Algebra II Lecture 3: Subspaces of vector spaces. Review of complex numbers. Vector space over a field. Vector space A vector space is a set V equipped with two operations, addition V V

More information

ELEMENTARY LINEAR ALGEBRA

ELEMENTARY LINEAR ALGEBRA ELEMENTARY LINEAR ALGEBRA K. R. MATTHEWS DEPARTMENT OF MATHEMATICS UNIVERSITY OF QUEENSLAND Second Online Version, December 1998 Comments to the author at krm@maths.uq.edu.au Contents 1 LINEAR EQUATIONS

More information

Fourth Week: Lectures 10-12

Fourth Week: Lectures 10-12 Fourth Week: Lectures 10-12 Lecture 10 The fact that a power series p of positive radius of convergence defines a function inside its disc of convergence via substitution is something that we cannot ignore

More information

l(y j ) = 0 for all y j (1)

l(y j ) = 0 for all y j (1) Problem 1. The closed linear span of a subset {y j } of a normed vector space is defined as the intersection of all closed subspaces containing all y j and thus the smallest such subspace. 1 Show that

More information

Lecture 3 - Tuesday July 5th

Lecture 3 - Tuesday July 5th Lecture 3 - Tuesday July 5th jacques@ucsd.edu Key words: Identities, geometric series, arithmetic series, difference of powers, binomial series Key concepts: Induction, proofs of identities 3. Identities

More information

SOME FIXED POINT RESULTS FOR ADMISSIBLE GERAGHTY CONTRACTION TYPE MAPPINGS IN FUZZY METRIC SPACES

SOME FIXED POINT RESULTS FOR ADMISSIBLE GERAGHTY CONTRACTION TYPE MAPPINGS IN FUZZY METRIC SPACES Iranian Journal of Fuzzy Systems Vol. 4, No. 3, 207 pp. 6-77 6 SOME FIXED POINT RESULTS FOR ADMISSIBLE GERAGHTY CONTRACTION TYPE MAPPINGS IN FUZZY METRIC SPACES M. DINARVAND Abstract. In this paper, we

More information

MAT 771 FUNCTIONAL ANALYSIS HOMEWORK 3. (1) Let V be the vector space of all bounded or unbounded sequences of complex numbers.

MAT 771 FUNCTIONAL ANALYSIS HOMEWORK 3. (1) Let V be the vector space of all bounded or unbounded sequences of complex numbers. MAT 771 FUNCTIONAL ANALYSIS HOMEWORK 3 (1) Let V be the vector space of all bounded or unbounded sequences of complex numbers. (a) Define d : V V + {0} by d(x, y) = 1 ξ j η j 2 j 1 + ξ j η j. Show that

More information

Tools from Lebesgue integration

Tools from Lebesgue integration Tools from Lebesgue integration E.P. van den Ban Fall 2005 Introduction In these notes we describe some of the basic tools from the theory of Lebesgue integration. Definitions and results will be given

More information

Real Analysis Notes. Thomas Goller

Real Analysis Notes. Thomas Goller Real Analysis Notes Thomas Goller September 4, 2011 Contents 1 Abstract Measure Spaces 2 1.1 Basic Definitions........................... 2 1.2 Measurable Functions........................ 2 1.3 Integration..............................

More information

MAS221 Analysis Semester Chapter 2 problems

MAS221 Analysis Semester Chapter 2 problems MAS221 Analysis Semester 1 2018-19 Chapter 2 problems 20. Consider the sequence (a n ), with general term a n = 1 + 3. Can you n guess the limit l of this sequence? (a) Verify that your guess is plausible

More information

Geometric interpretation of signals: background

Geometric interpretation of signals: background Geometric interpretation of signals: background David G. Messerschmitt Electrical Engineering and Computer Sciences University of California at Berkeley Technical Report No. UCB/EECS-006-9 http://www.eecs.berkeley.edu/pubs/techrpts/006/eecs-006-9.html

More information

ABELIAN SELF-COMMUTATORS IN FINITE FACTORS

ABELIAN SELF-COMMUTATORS IN FINITE FACTORS ABELIAN SELF-COMMUTATORS IN FINITE FACTORS GABRIEL NAGY Abstract. An abelian self-commutator in a C*-algebra A is an element of the form A = X X XX, with X A, such that X X and XX commute. It is shown

More information

On Pointwise λ Statistical Convergence of Order α of Sequences of Fuzzy Mappings

On Pointwise λ Statistical Convergence of Order α of Sequences of Fuzzy Mappings Filomat 28:6 (204), 27 279 DOI 0.2298/FIL40627E Published by Faculty of Sciences and Mathematics, University of Niš, Serbia Available at: http://www.pmf.ni.ac.rs/filomat On Pointwise Statistical Convergence

More information

A LITTLE REAL ANALYSIS AND TOPOLOGY

A LITTLE REAL ANALYSIS AND TOPOLOGY A LITTLE REAL ANALYSIS AND TOPOLOGY 1. NOTATION Before we begin some notational definitions are useful. (1) Z = {, 3, 2, 1, 0, 1, 2, 3, }is the set of integers. (2) Q = { a b : aεz, bεz {0}} is the set

More information

Undergraduate Notes in Mathematics. Arkansas Tech University Department of Mathematics

Undergraduate Notes in Mathematics. Arkansas Tech University Department of Mathematics Undergraduate Notes in Mathematics Arkansas Tech University Department of Mathematics An Introductory Single Variable Real Analysis: A Learning Approach through Problem Solving Marcel B. Finan c All Rights

More information

Introduction to Banach Spaces

Introduction to Banach Spaces CHAPTER 8 Introduction to Banach Saces 1. Uniform and Absolute Convergence As a rearation we begin by reviewing some familiar roerties of Cauchy sequences and uniform limits in the setting of metric saces.

More information

Handout #6 INTRODUCTION TO ALGEBRAIC STRUCTURES: Prof. Moseley AN ALGEBRAIC FIELD

Handout #6 INTRODUCTION TO ALGEBRAIC STRUCTURES: Prof. Moseley AN ALGEBRAIC FIELD Handout #6 INTRODUCTION TO ALGEBRAIC STRUCTURES: Prof. Moseley Chap. 2 AN ALGEBRAIC FIELD To introduce the notion of an abstract algebraic structure we consider (algebraic) fields. (These should not to

More information

ELEMENTARY LINEAR ALGEBRA

ELEMENTARY LINEAR ALGEBRA ELEMENTARY LINEAR ALGEBRA K R MATTHEWS DEPARTMENT OF MATHEMATICS UNIVERSITY OF QUEENSLAND First Printing, 99 Chapter LINEAR EQUATIONS Introduction to linear equations A linear equation in n unknowns x,

More information

THEOREMS, ETC., FOR MATH 515

THEOREMS, ETC., FOR MATH 515 THEOREMS, ETC., FOR MATH 515 Proposition 1 (=comment on page 17). If A is an algebra, then any finite union or finite intersection of sets in A is also in A. Proposition 2 (=Proposition 1.1). For every

More information

Global Asymptotic Stability of a Nonlinear Recursive Sequence

Global Asymptotic Stability of a Nonlinear Recursive Sequence International Mathematical Forum, 5, 200, no. 22, 083-089 Global Asymptotic Stability of a Nonlinear Recursive Sequence Mustafa Bayram Department of Mathematics, Faculty of Arts and Sciences Fatih University,

More information

Topology. Xiaolong Han. Department of Mathematics, California State University, Northridge, CA 91330, USA address:

Topology. Xiaolong Han. Department of Mathematics, California State University, Northridge, CA 91330, USA  address: Topology Xiaolong Han Department of Mathematics, California State University, Northridge, CA 91330, USA E-mail address: Xiaolong.Han@csun.edu Remark. You are entitled to a reward of 1 point toward a homework

More information

CONSTRUCTION OF THE REAL NUMBERS.

CONSTRUCTION OF THE REAL NUMBERS. CONSTRUCTION OF THE REAL NUMBERS. IAN KIMING 1. Motivation. It will not come as a big surprise to anyone when I say that we need the real numbers in mathematics. More to the point, we need to be able to

More information

On Zweier I-Convergent Double Sequence Spaces

On Zweier I-Convergent Double Sequence Spaces Filomat 3:12 (216), 3361 3369 DOI 1.2298/FIL1612361K Published by Faculty of Sciences and Mathematics, University of Niš, Serbia Available at: http://www.pmf.ni.ac.rs/filomat On Zweier I-Convergent Double

More information

Copyright 2010 Pearson Education, Inc. Publishing as Prentice Hall.

Copyright 2010 Pearson Education, Inc. Publishing as Prentice Hall. .1 Limits of Sequences. CHAPTER.1.0. a) True. If converges, then there is an M > 0 such that M. Choose by Archimedes an N N such that N > M/ε. Then n N implies /n M/n M/N < ε. b) False. = n does not converge,

More information