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Epi-mild normality

  • Lutfi Kalantan und Ibtesam Alshammari EMAIL logo
Veröffentlicht/Copyright: 29. Oktober 2018

Abstract

A space (X, τ) is called epi-mildly normal if there exists a coarser topology τ′ on X such that (X, τ′) is Hausdorff (T2) mildly normal. We investigate this property and present some examples to illustrate the relationships between epi-mild normality and other weaker kinds of normality.

MSC 2010: 54A10; 54D15
1

In this paper, we introduce epi-mildly normal topological spaces. We investigate the property of epi-mild normality and present some examples to illustrate the relationships between epi-mild normality and other weaker kinds of normality. Throughout this paper, we denote an ordered pair by 〈x, y〉, the set of positive integers by ℕ, the set of rational numbers by ℚ, the set of irrational numbers by ℙ, and the set of real numbers by ℝ. A T4space is a T1 normal space, a Tychonoff (T312) space is a T1 completely regular space, and a T3 space is a T1 regular space. We do not assume T2 in the definition of compactness, countable compactness and paracompactness. For a subset A of a space X, intA and A denote the interior and the closure of A, respectively. An ordinal γ is the set of all ordinals α such that α < γ. The first infinite ordinal is ω0 and the first uncountable ordinal is ω1.

Definition 1

A subset A of a space X is called closed domain [1], called also regularly closed, κ-closed, if A = intA. A subset A of a space X is called open domain [1], called also regularly open, κ-open, if A = int(A). A space X is called mildly normal [2], called also κ-normal [3], if for any two disjoint closed domains A and B of X there exist two disjoint open sets U and V of X such that AU and BV.

Definition 2

A space (X, τ) is called epi-mildly normal if there exists a coarser topology τ′ on X such that (X, τ′) is T2 (Hausdorff) mildly normal.

Note that if we require (X, τ′) to be just mildly normal in Definition 2 above, then any space will be epi-mildly normal as the indiscrete topology will refine. Also, if we require (X, τ′) to be T1 mildly normal in Definition 2 above, then any T1 space will be epi-mildly normal as the finite complement topology, see [4], will refine. It is clear from the definition that any T2 mildly normal space is epi-mildly normal, just take the coarser topology equal the same topology. Observe that if τ′ and τ are two topologies on X such that τ′ is coarser than τ and (X, τ′) is Ti, i ∈ {0,1,2}, then so is (X, τ). So, we conclude the following.

Theorem 3

Every epi-mildly normal space is T2.

Recall that a topological space X is called completely Hausdorff, T212 [4] (called also Urysohn space [1]), if for each distinct elements a, bX there exist two open sets U and V such that aU, bV, and UV = ∅. A topological space (X, τ) is called submetrizable if there exists a metric d on X such that the topology τd on X generated by d is coarser than τ [5]. A topological space (X, τ) is called epinormal if there is a coarser topology τ′ on X such that (X, τ′) is T4 [6]. For epinormality, we have something stronger.

Theorem 4

Every epinormal space is completely Hausdorff.

Proof

Let (X, τ) be any epinormal space. Let τ ′ be a coarser topology on X such that (X, τ′) is T4. We may assume that X has more than one element and pick distinct a, bX. Using T2 of (X, τ ′), choose G, Hτ′ such that aG, bH, and GH = ∅. Using regularity of (X, τ ′), choose U, Vτ′such that aUUτG and bVVτH. We have that U, Vτ and since AτAτ for any AX, we get UτVτ = ∅. □

Note that an epi-mildly normal space may not be completely Hausdorff and here is an example.

Example 5

Let X = {〈x, y 〉 : 0 ≤ y, x, y ∈ ℚ} and consider the irrational number3. The Irrational Slop topology IS [4] on X is generated by the neighborhoods of the formNϵ(x,y)={x,y}Bϵ(x+y3)Bϵ(xy3)}, where Bϵζ 〉 = {〈 r,0〉:r ∈ ℚ andrζ ∣< ϵ}, which is a subset of the x-axis. Each Nϵ(〈x, y 〉) consists of {〈 x, y 〉} plus two intervals on the rational x-axis centered at the two irrational pointsx±y3; the lines joining these points tox, y〉 have slop ±3. Note that(X,IS)is Hausdorff but not completely Hausdorff [4]. Moreover,(X,IS)is mildly normal as the only disjoint closed domains are the ground set X and the empty set, hence it is epi-mildly normal.

It is clear from the definitions that

submetrizabilityepinormalityepimildnormality.

The above implications are not reversible. ω1 + 1 is epinormal but not submetrizable [6]. For the second implication, the Irrational Slop Space is epi-mildly normal which is not epinormal because it is not completely Hausdorff. The ℚuestion is whether there exist Tychonoff epi-mildly normal spaces which are not epinormal. We will give a partial answer in the class of minimal spaces below. Now, (ℝ, τp), where τp is the particular point topology, p ∈ ℝ [4], is mildly normal because the only closed domains are ∅ and ℝ, but it is not epi-mildly normal because it is not T2. Here is an example of a Tychonoff zero-dimensional scattered epi-mildly normal space which is not mildly normal. See also Example 9.

Example 6

For each p ∈ ℙ and n ∈ ℕ, letpn=p,1nR2. For each p ∈ ℙ, fix a sequence (pn)n ∈ ℕof rational numbers such that pn = 〈pn,0〉 ⟶ 〈p, 0〉, where the convergence is taken in2with its usual topology. For each p ∈ ℙ and n ∈ ℕ, let An(〈p, 0 〉) = {pk : kn} and Bn(〈p, 0〉) = {pk : kn}. Now, for each p ∈ ℙ and n ∈ ℕ, let Un(〈p, 0〉) = {〈p, 0〉}∪An(〈p, 0〉)∪Bn(〈p, 0〉).

LetX={x,0R2:xR}{p,1n=pn:pPand n ∈ ℕ}. For each q ∈ ℚ, let B(〈q, 0〉) = {{〈q, 0〉}}. For each p ∈ ℙ, let B(〈p, 0〉) = {Un(〈p, 0〉):n ∈ ℕ}. For each p ∈ ℙand each n ∈ ℕ, let B(pn) = {{pn}}. Denote by τ the unique topology on X that has {B(〈x, 0〉), B(pn):x ∈ ℝ, p ∈ ℙ, n ∈ ℕ} as its neighborhood system. Let Z = {〈x, 0〉:x ∈ ℝ}. That is, Z is the x-axis. Then (Z, τZ) ≅ (ℝ, RS), where RS is the Rational Sequence Topology, see [4]. Since Z is closed in X and (ℝ, RS) is not normal, then X is not normal, but, since any basic open set is closed-and-open and X is T1, then X is zero-dimensional, hence Tychonoff. Now, Let E ⊂ ℙ and F ⊂ ℙbe closed disjoint subsets that cannot be separated in (ℝ, RS). Let C = ∪{B1(〈p, 0〉):pE} and D = ∪{B1(〈p, 0〉):pF}. Then C and D are both open in (X, τ) andCandDare disjoint closed domains that cannot be separated, hence X is not mildly normal. But X is submetrizable by the usual metric, hence epi-mildly normal.

Note that the above example shows that epi-mild normality does not imply normality. Consider ℝ with the left ray topology L= {∅, ℝ}∪{(−∞, x):x ∈ ℝ} [4]. It is normal because any two non-empty closed sets must intersect. But it is not epi-mildly normal because it is not T2.

Theorem 7

Epi-mild normality is a topological property

Proof

Let (X, τ) be any epi-mildly normal space. Assume that (X, τ) ≅ (Y, S). Let τ′ be a coarser topology on X such that (X, τ′) is Hausdorff mildly normal space. Let f:(X, τ) ⟶ (Y, S) be a homeomorphism and define S′ on Y by S′ = {f(U) : Uτ′}. Then S′ is a topology on Y coarser than S and (Y, S′) is Hausdorff mildly normal.

Epi-mild normality is an additive property.

Theorem 8

The sumα ∈ ΛXα, where Xαis a space for each αΛ, is epi-mildly normal if and only if all spaces Xαare epi-mildly normal.

Proof

If the sum X = ⊕αΛXα is epi-mildly normal, then there exist τ′ topology on X, coarser than ⊕αΛτα such that (X, τ′) is a Hausdorff mildly normal space. Since Xα is closed domain in X for each αΛ, (Xα, τα), where τα = {UXα : Uτ′}, is a Hausdorff mildly normal space. Thus all spaces Xα are epi-mildly normal as (Xα, τα) is coarser topology than (Xα, τα). Conversely, if all the Xα’s are epi-mildly normal, then there exists a topology τα on Xα for each αΛ, coarser than τα such that (Xα, τα) is a Hausdorff mildly normal space. Since Hausdorffness is additive [1], then (X,⊕αΛτα) is a Hausdorff space. On the other hand, mild normality is an additive property because each factor is open-and-closed in X and the intersection of any closed domain in X with each factor Xα will be a closed domain in Xα. Therefore, X are epi-mildly normal as ⊕αΛτα is coarser topology than ⊕αΛτα. □

Recall that a topology τ on a non-empty set X is said to be minimal Hausdorff if (X, τ) is Hausdorff and there is no Hausdorff topology on X strictly coarser than τ, see [7,8]. In [7], it was proved that “if the product space is minimal Hausdorff, then each factor is minimal Hausdorff”. In [9], the converse of the previous statement was proved. Namely, “the product of minimal Hausdorff spaces is minimal Hausdorff”. Intuitively, the product of two epi-mildly normal spaces may not be epi-mildly normal. If X and Y are both minimal Hausdorff mildly normal spaces whose product X × Y is not mildly normal, then X × Y cannot be epi-mildly normal. We have not been able to find such two spaces yet. As far as we know from the literature, the only example of two linearly ordered topological spaces whose product is not mildly normal was given in [10]. This space turns out to be epi-mildly normal. Here is the example.

Example 9

We will define a Hausdorff compact linearly ordered space Y such that ω1×Y is epi-mildly normal. Let {yn : n < ω0} be a countably infinite set such that {yn : n < ω0} ∩ (ω1 + 1) = ∅. Let Y = {yn : n < ω0} ∪ (ω1 + 1). Let τ be the topology on Y generated by the following neighborhood system: For an αω1, a basic open neighborhood of α is the same as in ω1with its usual order topology. For nω0, a basic open neighborhood of ynis {yn}. A basic open neighborhood of ω1is of the form (α, ω1] ∪ {yn : nk} where α < ω1and kω0. In other words, {yn : n < ω0} is a sequence of isolated points which converges to ω1. Note that if we define an order < on Y as follows: For each nω0, ω1<yn + 1<yn, and < on ω1 + 1 is the same as the usual order on ω1 + 1, then (Y, τ) is a linearly ordered topological space. It was shown in [10] that (Y, τ) is a Hausdorff compact space, hence it is mildly normal. Also, it is well known that ω1is a Hausdorff normal space and hence mildly normal. But ω1×Y is not mildly normal [10]. We will show that ω1×Y is epi-mildly normal. Define a topology V on ω1generated by the following neighborhood system: Each non-zero element β < ω1will have the same open neighborhood as in the usual ordered topology in ω1. Each open neighborhood of 0 is of the form U = (β, ω1) ∪ {0} where β < ω1. Simply, the idea is to move the minimal element 0 to the top and make it the maximal element. Then V is coarser than the usual ordered topology on ω1and (ω1, V) is a Hausdorff compact space because it is homeomorphic to ω1 + 1. Thus (ω1, V)×(Y, τ) is T2compact, hence T4and the product topology V × τ is coarser than τ0×τ, where τ0is the usual order topology defined on ω1. Therefore, ω1×Y is epi-mildly normal.

Here is a case when the product of two epi-mildly normal spaces will be epi-mildly normal.

Theorem 10

If X is epi-mildly normal countably compact and M is Hausdorff paracompact first countable, then X × M is epi-mildly normal.

Proof

Let (X, τ) be any epi-mildly normal countably compact space. Then there exists coarser topology τ ′ on X such that (X, τ′) is Hausdorff mildly normal space. Since (X, τ) is countably compact, (X, τ′) is countably compact. Hence (X, τ′)× M is Hausdorff mildly normal, by [10, Theorem 2.9]. Thus X × M is epi-mildly normal.

Corollary 11

If X is epi-mildly normal countably compact and M is metrizable, then X × M is epi-mildly normal.

Let us go back to the question: “Is there a Tychonoff epi-mildly normal space which is not epinormal?” We answer this in the class of minimal Tychonoff spaces [7]. Let (X, τ) be any minimal Tychonoff epi-mildly normal space. The theorem: “All minimal completely regular spaces are compact”, [7, 3.3], gives that (X, τ) is compact, hence T4, thus epinormal. So, we get the following theorem.

Theorem 12

In the class of minimal Tychonoff spaces, any epi-mildly normal space is T4.

So, the above question remains open. Observe that in [10, 1.4], using the continuum hypothesis (CH), a Mrówka space which is mildly normal, hence epi-mildly normal, was constructed. This Mrówka space turns out to be epinormal. Indeed, we show that any Mrówka space is epinormal, hence epi-mildly normal. Recall that two countably infinite sets are said to be almost disjoint [11] if their intersection is finite. Call a subfamily of [ω0]ω0 = {Aω0 : A is infinite} a mad family [11] on ω0 if it is a maximal (with respect to inclusion) pairwise almost disjoint subfamily. Let A be a pairwise almost disjoint subfamily of [ω0]ω0. The Mrówka space Ψ(Α) is defined as follows: The underlying set is ω0 ∪ A, each point of ω0 is isolated, and a basic open neighborhood of W ∈ A has the form {W} ∪ (WF), with F ∈ [ω0]<ω0 = {Bω0 : B is finite}. It is well known that there exists an almost disjoint family A ⊂ [ω0]ω0 such that |A|>ω0 and the Mrówka space Ψ(Α) is a Tychonoff, separable, first countable, and locally compact space which is neither countably compact, paracompact, nor normal. And Α is a mad family if and only if Ψ(Α) is pseudocompact [12]. Let us recall the following definition from [13].

Definition 13

A topological space X is called C2-paracompact if there exist a Hausdorff paracompact space Y and a bijective function f : XY such that the restriction fA: Af(A) is a homeomorphism for each compact subspace AX.

In [13], the following easy proved theorem was given. “If X is a C2-paracompact Fréchet space and f : XY is any witness of the C2-paracompactness of X, then f is continuous”.

Theorem 14

Any C2-paracompact Fréchet space is epinormal.

Proof

Let (X, τ) be any C2-paracompact Fréchet space. If (X, τ) is normal, we are done. Assume that (X, τ) is not normal. Let (Y, τ ′) be a T2 paracompact space and f:(X, τ) ⟶ (Y, τ′) be a bijective function such that the restriction fA : Af(A) is a homeomorphism for each compact subspace AX. Since X is Fréchet, f is continuous. Define τ = {f−1(U) : Uτ′}. It is clear that τ is a topology on X coarser than τ such that f:(X, τ) ⟶ (Y, τ′) is continuous. If Wτ, then W is of the form W = f−1(U) where Uτ′. So, f(W) = f(f−1(U)) = U which gives that f is open, hence homeomorphism. Thus (X, τ) is T4. Therefore, (X, τ) is epinormal. □

Theorem 15

Any Mrówka space Ψ(Α) is epinormal.

Proof

For an almost disjoint family A, the Mrówka space Ψ(Α) is C2-paracompact, being locally compact, see [13] and [1, 3.3.D]. Ψ(Α) is also Fréchet being first countable. We conclude that such a Mrówka space is epinormal.

Here is another application of Theorem 14. The space in the next example, due to Urysohn, see [7], is a famous example of a minimal Hausdorff space which is not compact.

Example 16

Let X = {aij, bij, ci, a, b : i ∈ ℕ, j ∈ ℕ} where all these elements are assumed to be distinct. Define the following neighborhood system on X:

For eachi, j ∈ ℕ, aijis isolated andbijis isolated.

For eachiN,B(ci)={Vn(ci)=jn{aij,bij,ci}:nN}.
B(a)={Vn(a)=jNin{aij,a}:nN}.
B(b)={Vn(b)=jNin{bij,b}:nN}.

Let us denote the unique topology on X generated by the above neighborhood system by τ. Then τ is minimal Hausdorff and (X, τ) is not compact [7].

Claim

(X, τ) is not mildly normal.

Proof of Claim

Let G = {aij : i is odd, j ∈ ℕ} and H = {bij : i is even, j ∈ ℕ}. Then G and H are both open. Thus E = G and F = H are closed domains. But E = G = G ∪ {ci : i is odd } ∪ {a} and F = H = H ∪ {ci : i is even } ∪ {b}. Thus EF = ∅. Any open set containing b will meet any open set containing the set {ci : i is odd }. Thus E and F cannot be separated by disjoint open sets. Therefore, (X, τ) is not mildly normal and Claim is proved. We conclude that (X, τ) is not epi-mildly normal. Hence it cannot be epinormal. So, by Theorem 14, X cannot be paracompact. □

Recall that a topological space X is called almost compact [14] if each open cover of X has a finite subfamily the closures of whose members covers X. A space X is called nearly compact [14] if each open cover of X has a finite subfamily the interiors of the closures of whose members covers X. A space X is said to be an almost regular if for any closed domain subset A and any xA, there exist two disjoint open sets U and V such that xU and AV. A technique which is useful in the theory of coarser topologies is the semiregularization. The topology on X generated by the family of all open domains is denoted by τs. The space (X, τs) is called the semi regularization of X. A space (X, τ) is semiregular if τ = τs. A space X is H-closed [1] if X is closed in every Hausdorff space in which X can be embedded. It is clear that if X is completely Hausdorff space H-closed, then X is epi-mildly normal.

Theorem 17

Every Hausdorff nearly compact space is epinormal (hence epi-mildly normal).

Proof

Let τs be the semiregularization of τ. Since (X, τ) is a Hausdorff nearly compact space, τs is a compact Hausdorff space [15]. Hence (X, τs) is a T4 space. Therefore X is epinormal space. □

Since the semiregularization of a nearly compact space is compact, we conclude the following Corollary.

Corollary 18

For each αΛ, let (Xα, τα) be a Hausdorff nearly compact space. ThenαΛ(Xα, τα) is epi-mildly normal.

Theorem 19

If (X, τ) is almost regular almost compact and τsis T1, then (X, τ) is epi-mildly normal.

Proof

Since (X, τ) is almost regular, (X, τs) is regular [15]. Hence (X, τs) is T3. Moreover, the coarser topology of almost compact is almost compact. So, τs is almost compact. But every almost regular almost compact is mildly normal [2]. Thus τs is Hausdorff mildly normal. Therefore (X, τ) is epi-mildly normal. □

We need the following Lemma from [15] to prove the next theorem.

Lemma 20

Let (Y, U) be a regular space. If f : (X, τ) ⟶ (Y, U) is continuous, then f : (X, τs) ⟶ (Y,U) is continuous.

Theorem 21

If (X, τ) is T2mildly normal, then (X, τs) is mildly normal (hence epi-mildly normal).

Proof

Let A and B be two disjoint closed domains in semiregularization of X. Hence A and B are closed domains in (X, τ) \cite[1.7.8(b)]Eng. Since (X, τ) is mildly normal, there exists a continuous function f:(X, τ) ⟶ (I, UI) such that f(a) =0, for each aA, and f(b) =1, for each bB. Since I is regular, \mboxf:(X, τs) ⟶ (I, UI) is continuous by Lemma 20. Thus τs is mildly normal [2]. □

The following problems are still open:

  1. Is epi-mild normality hereditary?

    Observe that the space X in Example 16 can be embedded in another Hausdorff space by the following theorem:“A Hausdorff space can be embedded as a closed subspace of a minimal Hausdorff space", [16], see also [17]. But there is no reason to guarantee that the larger space is mildly normal or at least epi-mildly normal. Also, there is a theorem:“A Hausdorff space can be densely embedded in a minimal Hausdorff space if and only if the space is semiregular”. [18]. For the same reason, as previous, we cannot apply it even if we modify X to make it semiregular without lossing its minimality.

  2. Is a β-normal [19] epi-mildly normal space normal?


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Received: 2018-03-22
Accepted: 2018-09-18
Published Online: 2018-10-29

© 2018 Kalantan and Alshammari, published by De Gruyter

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

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  46. Topological entropy for positively weak measure expansive shadowable maps
  47. Oscillation and non-oscillation of half-linear differential equations with coeffcients determined by functions having mean values
  48. On 𝓠-regular semigroups
  49. One kind power mean of the hybrid Gauss sums
  50. A reduced space branch and bound algorithm for a class of sum of ratios problems
  51. Some recurrence formulas for the Hermite polynomials and their squares
  52. A relaxed block splitting preconditioner for complex symmetric indefinite linear systems
  53. On f - prime radical in ordered semigroups
  54. Positive solutions of semipositone singular fractional differential systems with a parameter and integral boundary conditions
  55. Disjoint hypercyclicity equals disjoint supercyclicity for families of Taylor-type operators
  56. A stochastic differential game of low carbon technology sharing in collaborative innovation system of superior enterprises and inferior enterprises under uncertain environment
  57. Dynamic behavior analysis of a prey-predator model with ratio-dependent Monod-Haldane functional response
  58. The points and diameters of quantales
  59. Directed colimits of some flatness properties and purity of epimorphisms in S-posets
  60. Super (a, d)-H-antimagic labeling of subdivided graphs
  61. On the power sum problem of Lucas polynomials and its divisible property
  62. Existence of solutions for a shear thickening fluid-particle system with non-Newtonian potential
  63. On generalized P-reducible Finsler manifolds
  64. On Banach and Kuratowski Theorem, K-Lusin sets and strong sequences
  65. On the boundedness of square function generated by the Bessel differential operator in weighted Lebesque Lp,α spaces
  66. On the different kinds of separability of the space of Borel functions
  67. Curves in the Lorentz-Minkowski plane: elasticae, catenaries and grim-reapers
  68. Functional analysis method for the M/G/1 queueing model with single working vacation
  69. Existence of asymptotically periodic solutions for semilinear evolution equations with nonlocal initial conditions
  70. The existence of solutions to certain type of nonlinear difference-differential equations
  71. Domination in 4-regular Knödel graphs
  72. Stepanov-like pseudo almost periodic functions on time scales and applications to dynamic equations with delay
  73. Algebras of right ample semigroups
  74. Random attractors for stochastic retarded reaction-diffusion equations with multiplicative white noise on unbounded domains
  75. Nontrivial periodic solutions to delay difference equations via Morse theory
  76. A note on the three-way generalization of the Jordan canonical form
  77. On some varieties of ai-semirings satisfying xp+1x
  78. Abstract-valued Orlicz spaces of range-varying type
  79. On the recursive properties of one kind hybrid power mean involving two-term exponential sums and Gauss sums
  80. Arithmetic of generalized Dedekind sums and their modularity
  81. Multipreconditioned GMRES for simulating stochastic automata networks
  82. Regularization and error estimates for an inverse heat problem under the conformable derivative
  83. Transitivity of the εm-relation on (m-idempotent) hyperrings
  84. Learning Bayesian networks based on bi-velocity discrete particle swarm optimization with mutation operator
  85. Simultaneous prediction in the generalized linear model
  86. Two asymptotic expansions for gamma function developed by Windschitl’s formula
  87. State maps on semihoops
  88. 𝓜𝓝-convergence and lim-inf𝓜-convergence in partially ordered sets
  89. Stability and convergence of a local discontinuous Galerkin finite element method for the general Lax equation
  90. New topology in residuated lattices
  91. Optimality and duality in set-valued optimization utilizing limit sets
  92. An improved Schwarz Lemma at the boundary
  93. Initial layer problem of the Boussinesq system for Rayleigh-Bénard convection with infinite Prandtl number limit
  94. Toeplitz matrices whose elements are coefficients of Bazilevič functions
  95. Epi-mild normality
  96. Nonlinear elastic beam problems with the parameter near resonance
  97. Orlicz difference bodies
  98. The Picard group of Brauer-Severi varieties
  99. Galoisian and qualitative approaches to linear Polyanin-Zaitsev vector fields
  100. Weak group inverse
  101. Infinite growth of solutions of second order complex differential equation
  102. Semi-Hurewicz-Type properties in ditopological texture spaces
  103. Chaos and bifurcation in the controlled chaotic system
  104. Translatability and translatable semigroups
  105. Sharp bounds for partition dimension of generalized Möbius ladders
  106. Uniqueness theorems for L-functions in the extended Selberg class
  107. An effective algorithm for globally solving quadratic programs using parametric linearization technique
  108. Bounds of Strong EMT Strength for certain Subdivision of Star and Bistar
  109. On categorical aspects of S -quantales
  110. On the algebraicity of coefficients of half-integral weight mock modular forms
  111. Dunkl analogue of Szász-mirakjan operators of blending type
  112. Majorization, “useful” Csiszár divergence and “useful” Zipf-Mandelbrot law
  113. Global stability of a distributed delayed viral model with general incidence rate
  114. Analyzing a generalized pest-natural enemy model with nonlinear impulsive control
  115. Boundary value problems of a discrete generalized beam equation via variational methods
  116. Common fixed point theorem of six self-mappings in Menger spaces using (CLRST) property
  117. Periodic and subharmonic solutions for a 2nth-order p-Laplacian difference equation containing both advances and retardations
  118. Spectrum of free-form Sudoku graphs
  119. Regularity of fuzzy convergence spaces
  120. The well-posedness of solution to a compressible non-Newtonian fluid with self-gravitational potential
  121. On further refinements for Young inequalities
  122. Pretty good state transfer on 1-sum of star graphs
  123. On a conjecture about generalized Q-recurrence
  124. Univariate approximating schemes and their non-tensor product generalization
  125. Multi-term fractional differential equations with nonlocal boundary conditions
  126. Homoclinic and heteroclinic solutions to a hepatitis C evolution model
  127. Regularity of one-sided multilinear fractional maximal functions
  128. Galois connections between sets of paths and closure operators in simple graphs
  129. KGSA: A Gravitational Search Algorithm for Multimodal Optimization based on K-Means Niching Technique and a Novel Elitism Strategy
  130. θ-type Calderón-Zygmund Operators and Commutators in Variable Exponents Herz space
  131. An integral that counts the zeros of a function
  132. On rough sets induced by fuzzy relations approach in semigroups
  133. Computational uncertainty quantification for random non-autonomous second order linear differential equations via adapted gPC: a comparative case study with random Fröbenius method and Monte Carlo simulation
  134. The fourth order strongly noncanonical operators
  135. Topical Issue on Cyber-security Mathematics
  136. Review of Cryptographic Schemes applied to Remote Electronic Voting systems: remaining challenges and the upcoming post-quantum paradigm
  137. Linearity in decimation-based generators: an improved cryptanalysis on the shrinking generator
  138. On dynamic network security: A random decentering algorithm on graphs
Heruntergeladen am 6.9.2025 von https://www.degruyterbrill.com/document/doi/10.1515/math-2018-0099/html?lang=de
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