Applied Mathematics and Computation 217 (2011) 8630–8639
Contents lists available at ScienceDirect
Applied Mathematics and Computation journal homepage: www.elsevier.com/locate/amc
Hölder and Minkowski type inequalities for pseudo-integral Hamzeh Agahi a, Yao Ouyang b, Radko Mesiar c,d, Endre Pap f,e,⇑, Mirjana Štrboja f a Department of Statistics, Faculty of Mathematics and Computer Science, Amirkabir University of Technology (Tehran Polytechnic), 424, Hafez Ave., Tehran 15914, Iran b Faculty of Science, Huzhou Teacher’s College, Huzhou, Zhejiang 313000, People’s Republic of China c Department of Mathematics and Descriptive Geometry, Faculty of Civil Engineering, Slovak University of Technology, SK81368 Bratislava, Slovakia d Institute of Information Theory and Automation, Academy of Sciences of the Czech Republic, Czech Republic e Óbuda University, Becsi út 96/B, H-1034 Budapest, Hungary f Department of Mathematics and Informatics, Faculty of Sciences and Mathematics, University of Novi Sad, Serbia
a r t i c l e
i n f o
Keywords: Hölder’s inequality Minkowski’s inequality Semiring Pseudo-addition Pseudo-multiplication Pseudo-integral
a b s t r a c t There are proven generalizations of the Hölder’s and Minkowski’s inequalities for the pseudo-integral. There are considered two cases of the real semiring with pseudo-operations: one, when pseudo-operations are defined by monotone and continuous function g, the second semiring ([a, b], sup, ), where is generated and the third semiring where both pseudo-operations are idempotent, i.e., = sup and = inf. Ó 2011 Elsevier Inc. All rights reserved.
1. Introduction Pseudo-analysis is a generalization of the classical analysis, where instead of the field of real numbers a semiring is defined on a real interval [a, b] [1, 1] with pseudo-addition and with pseudo-multiplication , see [19–24,32]. Based on this structure there were developed the concepts of -measure (pseudo-additive measure), pseudo-integral, pseudo-convolution, pseudo-Laplace transform, etc. The advantages of the pseudo-analysis are that there are covered with one theory, and so with unified methods, problems (usually nonlinear and under uncertainty) from many different fields (system theory, optimization, decision making, control theory, differential equations, difference equations, etc.). Pseudo-analysis uses many mathematical tools from different fields as functional equations, variational calculus, measure theory, functional analysis, optimization theory, semiring theory, etc. Similar ideas were developed independently by Maslov and his collaborators in the framework of idempotent analysis and idempotent mathematics, with important applications [8,9,11]. In particular, idempotent analysis is fundamental for the theory of weak solutions to Hamilton–Jacobi equations with non-smooth Hamiltonians, see [8,9,11] and also [22,23,25] (in the framework of pseudo-analysis). In some cases, this theory enables one to obtain exact solutions in the similar form as for the linear equations. Some further developments relate more general pseudo-operations with applications to nonlinear partial differential equations, see [27]. Recently, these applications have become important in the field of image processing [23,25]. On the other side, more general set functions than pseudo-additive measures, as fuzzy measures and corresponding fuzzy integrals had been investigated in [6,14,21,28,31,15], as aggregation functions with important applications, e.g., given in [30,33]. Recently, there were obtained generalizations of the classical integral inequalities for integrals with respect to non-additive measures [1–4,12,16,17,26,33]. The well-known Hölder’s and Minkowski’s inequality is a part of the classical mathematical analysis, see [29]. ⇑ Corresponding author at: Department of Mathematics and Informatics, Faculty of Sciences and Mathematics, University of Novi Sad, Serbia. E-mail addresses:
[email protected] (H. Agahi),
[email protected] (Y. Ouyang),
[email protected] (R. Mesiar),
[email protected] (E. Pap), mirjana.strboja@ dmi.uns.ac.rs (M. Štrboja). 0096-3003/$ - see front matter Ó 2011 Elsevier Inc. All rights reserved. doi:10.1016/j.amc.2011.03.100
H. Agahi et al. / Applied Mathematics and Computation 217 (2011) 8630–8639
8631
Definition 1. If p and g are positive real number such that 1p þ 1q ¼ 1, then we call p and q a pair of conjugate exponents.
Theorem 1. Let p and q be conjugate exponents, 1 < p < 1. Let X be a measure space, with measure l. Let f and g be measurable functions on X, with range in [0, 1]. Then (i) (Hölder’s inequality)
Z
fgdl 6
Z
X
1p Z 1q f p dl g q dl X
ð1Þ
X
(ii) (Minkowski’s inequality)
Z
1p Z 1p Z 1p ðf þ gÞp dl 6 f p dl þ g p dl
X
X
ð2Þ
X
In this paper we shall give generalizations of Hölder’s and Minkowski’s inequality for pseudo-integral. Our paper is organized as follows. In Section 2 are given some preliminaries on the pseudo-analysis. In Section 3 special kinds of pseudo-integrals are introduced and the generated case is related to the sup-plus case. We prove generalizations of the Hölder, Minkowski for pseudo-integral in Sections 4 and 5. We note that the third important case = max and = min has been studied in [1,2], where the pseudo-integral in such a case yields the Sugeno integral. 2. Pseudo-integral Let [a, b] be a closed (in some cases can be considered semiclosed) subinterval of [1, 1]. The full order on [a, b] will be denoted by . A binary operation on [a, b] is pseudo-addition if it is commutative, non-decreasing (with respect to ), associative and with a zero (neutral) element denoted by 0. Let [a, b]+ = {x j x 2 [a, b], 0 x}. A binary operation on [a, b] is pseudo-multiplication if it is commutative, positively non-decreasing, i.e., x y implies x z y z for all z 2 [a, b]+, associative and with a unit element 1 2 [a, b], i.e., for each x 2 [a, b], 1 x = x. We assume also 0 x = 0 and that is distributive over , i.e.,
x ðy zÞ ¼ ðx yÞ ðx zÞ The structure ([a, b], , ) is a semiring (see [10,21]). In this paper we will consider only semirings with the following continuous operations (continuity of can be possibly violated in the cases 0 a = a 0 or 0 b = b 0, i.e., in points (0, a) and (a, 0), or (0, b) and (b, 0)), and where the boundary elements of the interval [a, b] are the neutral elements of the pseudooperations: Case I: The pseudo-addition is idempotent operation and the pseudo-multiplication is not. (a) x y = sup(x, y), is arbitrary not idempotent pseudo-multiplication on the interval [a, b] cancellative on ]a, b[2. We have 0 = a and the idempotent operation supinduces a full order in the following way: x y if and only if sup(x, y) = y. Moreover, the pseudo-multiplication is generated by an increasing bijection g : [a, b] ? [0, 1], x y = g1(g(x) g(y)) (this result follows from [7], see also [5]). Observe that 1 = g1(1). (b) x y = inf(x, y), is arbitrary not idempotent pseudo-multiplication on the interval [a, b] cancellative on ]a, b[2. We have 0 = b and the idempotent operation infinduces a full order in the following way: x y if and only if inf(x, y) = y. Moreover, the pseudo-multiplication is generated by a decreasing bijection g : [a, b] ? [0, 1], x y = g1(g(x) g(y)) and 1 = g1(1). Case II: The pseudo-operations are defined by a monotone and continuous function g : [a, b] ? [0, 1], i.e., pseudo-operations are given with
x y ¼ g 1 ðgðxÞ þ gðyÞÞ and x y ¼ g 1 ðgðxÞ gðyÞÞ: If the zero element for the pseudo-addition is a, we will consider increasing generators. Then g(a) = 0 and g(b) = 1. If the zero element for the pseudo-addition is b, we will consider decreasing generators. Then g(b) = 0 and g(a) = 1. If the generator g is increasing (respectively decreasing), the operation induces the usual order (respectively opposite to the usual order) on the interval [a, b] in the following way: x y if and only if g(x) 6 g(y). Case III: Both operations are idempotent. We have (a) x y = sup(x, y), x y = inf(x, y), on the interval [a, b]. We have 0 = a and 1 = b. The idempotent operation supinduces the usual order (x y if and only if sup(x, y) = y). (b) x y = inf(x, y), x y = sup(x, y), on the interval [a, b]. We have 0 = b and 1 = a. The idempotent operation infinduces an order opposite to the usual order (x y if and only if inf(x, y) = y). ðpÞ For x 2 [a, b]+ and p 2 ]0, 1[, we will introduce the pseudo-power x as follows: if p = n is a natural number then ðnÞ
x ¼ |fflfflfflfflfflfflfflfflfflfflffl{zfflfflfflfflfflfflfflfflfflfflffl} x x x: n
8632
H. Agahi et al. / Applied Mathematics and Computation 217 (2011) 8630–8639 ð1Þ
ðnÞ
ðmÞ
ðrÞ
Moreover, xn ¼ supfyjy 6 xg. Then xn ¼ x is well defined for any rational r 2 ]0, 1[, independently of representation r ¼ mn ¼ mn11 ; m; n; m1 ; n1 being positive integers (the result follows from the continuity and monotonicity of ). Due to continuity of , if p is not rational, then
n o ðpÞ ðrÞ x ¼ sup x jr 20; p½; r is rational : ðpÞ
ðpÞ
Evidently, if x y = g1(g(x) g(y)), then x ¼ g 1 ðg p ðxÞÞ. On the other hand, if is idempotent, then x ¼ x for any x 2 [a, b] and p 2 ]0, 1[. Let X be a non-empty set. Let A be a r-algebra of subsets of X. Definition 2. A set function m : A ! ½a; b is a r--measure if there hold (i) m(£) = 0 (if is not idempotent) S 1 (ii) mð 1 i¼1 Ai Þ ¼ ai¼1 mðAi Þ holds for any sequence ðAi Þi2N of pairwise disjoint sets from A. Observe that is the case II, a set function m : A ! ½a; b is a r--measure if and only if g m : A ! ½0; 1 is a classical measure, i.e., a r-additive measure. We suppose that ([a, b], ) and ([a, b], ) are complete lattice ordered semigroups. We suppose that [a, b] is endowed with a metric d compatible with sup and inf, i.e. lim sup xn = x and lim inf xn = x, imply limn?1d(xn, x) = 0, and which satisfies at least one of the following conditions: (a) d(x y, x0 y0 ) 6 d(x, x0 ) + d(y, y0 ), (b) d(x y, x0 y0 ) 6 max {d(x, x0 ), d(y, y0 )}. Both conditions (a) and (b) imply: d(xn, yn) ? 0 ) d(xn z, yn z) ? 0. Metric d is also monotonic, i.e., x 6 z 6 y ) d(x, y) P sup{d(y, z), d(x, z)}. Let f and h be two functions defined on X and with values in [a, b]. Then for any x 2 X and for any k 2 [a, b] we define (f g)(x) = f(x) g(x), (f g)(x) = f(x) g(x), and (k f)(x) = k f(x). The characteristic function with values in a semiring ([a, b], , ) is defined by
vA ðxÞ ¼
0; x R A; 1; x 2 A: n
A step (measurable) function is a mapping e : X ? [a, b] that has the following representation e ¼ ai¼1 ai vAi for ai 2 [a, b] and sets Ai 2 A are pairwise disjoint if is nonidempotent. e e Let e be a positive real number and B [a, b]. A subset fli gn2N of set B is a e-net on B if for each x 2 B there exists li such e e e e e e that dðli ; xÞ 6 e. If we, also, have li x, then we call fli g a lower e-net. If li liþ1 holds, then fli g is monotone, for more details see [13,18,21]. Definition 3. Let m : A ! ½a; b be a r--measure. (i) The pseudo-integral of a step function e : X ? [a, b] m is defined by
Z
n
e dm ¼ a ai mðAi Þ:
X
i¼1
(ii) The pseudo-integral of a measurable function f : X ? [a, b], (if is not idempotent we suppose that for each e > 0 there exists a monotone e-net in f(X)) is defined by
Z X
f dm ¼ lim
n!1
Z
en ðxÞ dm;
X
where ðen Þn2N is a sequence of step functions such that d(en(x), f(x)) ? 0 uniformly as n ? 1. For more details see [9,21,23]. 3. Explicit forms of special pseudo-integrals We shall consider the semiring ([a, b], , ) for three (with completely different behavior) cases, namely I(a), II and III(a). Observe that the cases I(b) and III(b) are linked to the cases I(a) and III(a) by duality. First case is when pseudo-operations are generated by a monotone and continuous function g : [a, b] ? [0, 1], case II from Section 2. Then the pseudo-integral for a measurable function f : X ? [a, b] is given by,
8633
H. Agahi et al. / Applied Mathematics and Computation 217 (2011) 8630–8639
Z
f dm ¼ g 1
Z
X
ðg f Þdðg mÞ ;
ð3Þ
X
where the integral applied on the right side is the standard Lebesgue integral. In special case, when X ¼ ½c; d; A ¼ BðX Þ and m = g1 k, k the standard Lebesgue measure on [c, d], then we use notation
Z
f ðxÞdx ¼
Z
f dm: X
½c;d
By (3),
Z
f ðxÞdx ¼ g 1
Z
!
d
gðf ðxÞÞdx ;
c
½c;d
i.e., we have recovered the g-integral, see [18,19]. Second case is when the semiring is of the form ([a, b], sup, ), cases I(a) and III(a) from Section 2. We will consider complete sup-measure m only and A ¼ 2X , i.e., for any system (Ai)i2I of measurable sets,
!
[
m
¼ sup mðAi Þ:
Ai
i2I
i2I
Recall that if X is countable (especially, if X is finite) then any r-sup-measure m is complete and, moreover, m(A) = supx2Aw(x), where w : X ? [a, b] is a density function given by w(x) = m({x}). Then the pseudo-integral for a function f : X ? [a, b] is given by
Z
f dm ¼ supðf ðxÞ wðxÞÞ; x2X
X
where function w defines sup-measure m. 4. Hölder’s inequality for pseudo-integral Now we shall give a generalization of the classical Hölder inequality (1). Theorem 2. Let p and q be conjugate exponents, 1 < p < 1. For a given measurable space ðX; AÞ let u, v : X ? [a, b] be two measurable functions and let a generator g : [a, b] ? [0, 1] of the pseudo-addition and the pseudo-multiplication be an increasing function. Then for any r--measure m it holds:
Z
ðu v Þ dm 6
Z
X
ð1pÞ Z ðpÞ u dm
X
ð1qÞ
v ðqÞ dm
ð4Þ
:
X
Proof. We apply the classical Hölder’s inequality (1) and then we obtain
Z
ðg uÞðg v Þdðg mÞ 6
Z
X
1p Z 1q ðg uÞp dðg mÞ ðg v Þq dðg mÞ :
X
X
Since function g is increasing function, then g1 is also increasing function and we have
g
1
Z
Z 1p Z 1q ! p q 1 : ðg uÞðg v Þdðg mÞ 6 g ðg uÞ dðg mÞ ðg v Þ dðg mÞ
X
X
X
i.e.,
g
1
Z
g g ððg uÞðg v ÞÞ ðg mÞ 6 g 1
1
g g
1
Z
X
1p !!
p
ðg uÞ dðg mÞ
g g
X
X
ðu v Þ dm 6 g
1
Z X
p
ðg uÞ dðg mÞ
1p ! g
1
Z
q
ðg v Þ dðg mÞ X
Hence
Z
1
Z
q
ðg v Þ dðg mÞ X
1q ! :
1q !!! :
8634
H. Agahi et al. / Applied Mathematics and Computation 217 (2011) 8630–8639
For the right side of the inequality holds:
g
Z
1
1p !
p
ðg uÞ dðg mÞ
g
Z
1
X
¼g
1
1q ! ðg v Þ dðg mÞ q
X
Z
p
1
g g ððg uÞ Þðg mÞ
1p !
g
Z
1
X
¼ g 1
Z
q
¼g
1q !
1p ! Z 1q ! ðpÞ ðqÞ g u dðg mÞ g v dðg mÞ g 1 X
Z 1p ! Z 1q ! ðpÞ ðqÞ 1 1 1 g g g u dðg mÞ g g g v dðg mÞ g X
1
g g ððg v Þ Þ dðg mÞ 1
X
X
¼ g 1
Z g
X
1p ! Z ðpÞ g 1 u dm g
X
1q ! Z ðqÞ ¼ v dm
X
which completes the proof.
X
ð1pÞ
ðpÞ u ðxÞdm
Z
v
ð1qÞ
ðqÞ ðxÞdm
X
;
h
Example 1 (i) Let [a, b] = [0, 1] and g(x) = xa for some a 2 [1, 1[. The corresponding pseudo-operations are x y ¼ x y = xy. Then (4) reduces on the following inequality
p ffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiaffi a a x þ y and
sffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffi sffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffi ffi sffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffi ffi Z Z Z a pa qa a a pa qa uðxÞ v ðxÞ dx 6 uðxÞ dx v ðxÞ dx: ½c;d
½c;d
½c;d x
(ii) Let [a, b] = [1, 1] and g(x) = e . The corresponding pseudo-operations are x y = ln(ex + ey) and x y = x + y. Then (4) reduces on the following inequality
ln
Z
euðxÞþv ðxÞ dx 6
½c;d
!
Z
1 ln p
½c;d
!
Z
1 ln q
epuðxÞ dx þ
eqv ðxÞ dx ;
½c;d
i.e.,
Z
e
uðxÞþv ðxÞ
dx 6
!1p
Z
½c;d
puðxÞ
e
dx
!1q
Z
½c;d
qv ðxÞ
e
dx
:
½c;d
Theorem 3. Let p and q be conjugate exponents, 1 < p < 1. For a given measurable space ðX; AÞ let u, v : X ? [a, b] be two measurable functions and let a generator g : [a, b] ? [0, 1] of the pseudo-addition and the pseudo-multiplication is a decreasing function. Then for any r--measure m it holds:
Z
ðu v Þ dm P
X
Z
ð1pÞ Z ðpÞ u dm
X
ð1qÞ
v ðqÞ dm
X
:
Proof. In an analogous way as in the proof of Theorem (2) we obtain
g
1
Z
ðg uÞðg v Þdðg mÞ P g
1
X
Z
1p Z 1q ! q : ðg uÞ dðg mÞ ðg v Þ dðg mÞ p
X
X
i.e.,
Z X
ðu v Þ dm P
Z X
ð1pÞ Z ðpÞ u dm
X
ð1qÞ
v ðqÞ dm
:
Now we consider the second case, when = sup, and = g1(g(x)g(y)). Theorem 4. Let be represented by an increasing generator g and m be a complete sup-measure. Let p and q be conjugate exponents, 1 < p < 1. Then for any functions u, v : X ? [a, b], it holds:
8635
H. Agahi et al. / Applied Mathematics and Computation 217 (2011) 8630–8639
Z
Z
sup
ðu v Þ dm 6
X
sup
ð1pÞ Z ðpÞ u dm
X
sup
v ðqÞ dm
X
ð1qÞ :
Proof. Recall that
Z
sup
ðu v Þ dm ¼ sup ðuðxÞ v ðxÞ wðxÞÞ ¼ g 1 sup ðgðuðxÞÞgðv ðxÞÞgðwðxÞÞÞ ; x2X
X
x2X
where w : X ? [a, b] is a density function related to m. Moreover,
Z
sup
X
0 !1p 1 ! ð1pÞ 1 p 1 @ p 1 A p ¼g u dm ¼g sup ðg ðuðyÞÞgðwðyÞÞÞ sup gðuðyÞÞg ðwðyÞÞ : y2X
y2X
Similarly,
Z
ð1qÞ
sup
v q dm
X
1 ¼ g 1 sup gðv ðzÞÞg q ðwðzÞÞ : z2X
Consequently,
Z
sup
X
1p Z up dm
v q dm
X
1q
sup
! 1 1 ¼ g 1 sup gðuðyÞÞg p ðwðyÞÞ sup gðv ðzÞÞg q ðwðzÞÞ y2X
P g 1
z2X
1 1 sup gðuðxÞÞg p ðwðxÞÞgðv ðxÞÞg q ðwðxÞÞ x2X
Z ¼g sup ðgðuðxÞÞgðv ðxÞÞgðwðxÞÞÞ ¼ 1
x2X
Completing the proof.
sup
ðu v Þ dm:
X
h ðpÞ
Remark 1. In the case III(a), i.e., if = sup and = inf, for each x 2 [a, b] and p > 0; x ¼ x: The Hölder inequality in this case reduces to the inequality
Z
sup
ðu v Þ dm 6
Z
X
sup
Z u dm
X
sup
v dm
;
X
i.e.,
! sup ðinfðuðxÞ; v ðxÞ; wðxÞÞÞ 6 inf
sup ðinfðuðyÞ; wðyÞÞÞ; sup ðinfðv ðzÞ; wðzÞÞÞ ;
x2X
y2X
z2X
which trivially holds because of distributivity of sup and inf. For a general case I(a) and III(a), i.e., when m is an arbitrary r-sup-measure, suppose that u and ðX; AÞ with values in [a, b]. Then there is a finite partition {E1, . . . , En} of X so that
u ¼ supi2f1;2;...;ng ui vEi ;
v are step function on
v ¼ supi2f1;2;...;ng v i vE : i
Define a new measurable space (Y, 2 ) with Y = {y1, . . . , yn}, yi = Ei, i = 1, . . . , n, and define mY : 2Y ! ½a; b; mY ðBÞ ¼ mð Evidently, mY is a complete sup-measure, and Y
Z
sup
u dm ¼
X
Z
sup
uY dmY ;
Y
where uY(yi) = ui, i = 1, . . . , n. Similarly,
Z X
sup
v dm ¼
Z
vY is defined and
sup
v Y dmY : Y
Now, we are ready to prove the Hölder type theorem for general r-sup-measure as a consequence of Theorem (4).
S
yi 2B Ei Þ:
8636
H. Agahi et al. / Applied Mathematics and Computation 217 (2011) 8630–8639
Corollary 1. Let be represented by an increasing generator g and m be r-sup-measure. Let p and q be conjugate exponents with 1 < p < 1. Then for any measurable functions u, v : X ? [a, b], it holds:
Z
sup
ðu v Þ dm 6
Z
X
sup
ð1pÞ Z ðpÞ u dm
X
sup
v ðqÞ dm
ð1qÞ
X
ð5Þ
:
Proof. Consider the sequences ðen Þn2N and ðfn Þn2N of step function from Definition (3)(ii) such that d(en(x), u(x)) ? 0 and ðpÞ ðpÞ d(fn(x), v(x)) ? 0 uniformly as n ? 1. Then also d((en fn)(x), (u v)(x)) ? 0, as well as d ðen Þ ðxÞ; u ðxÞ ! 0 and ðqÞ d ðfn ÞðqÞ ðxÞ; v ðxÞ ! 0 uniformly as n ? 1. Due to Theorem (4), inequality (5) holds for each pair (en, fn) and thus, due to Definition (3)(ii), also for desired pair (u, v).
h
Example 2. For [a, b] = [1, 1], let g generating be given by g(x) = ex. Then
x y ¼ x þ y; and Hölder type inequality from Theorem (4) reduces on
supðuðxÞ þ v ðxÞ þ wðxÞÞ 6 x2X
1 1 supðp uðxÞ þ wðxÞÞ þ supðq v ðxÞ þ wðxÞÞ; p x2X q x2X
where u, v, w are arbitrary real function on X. 5. Minkowski’s inequality for pseudo-integral Theorem 5. Let u, v : X ? [a, b] be two measurable functions and p 2 [1, 1[. If an additive generator g : [a, b] ? [0, 1] of the pseudo-addition and the pseudo-multiplication are increasing. Then for any r--measure m it holds:
Z X
ðu v ÞðpÞ dm
ð1pÞ
Z
6
ð1pÞ Z ðpÞ u dm
X
ð1pÞ
v ðpÞ dm
X
:
Proof. We apply the classical Minkowski’s inequality (1) on compositions g u and g v and then we obtain
Z
1p Z 1p Z 1p ðg u þ g uÞp dðg mÞ 6 ðg uÞp dðg mÞ þ ðg v Þp dðg mÞ :
X
X
X
Since function g is increasing function, then g1 is also increasing function and we have
g
1
Z
1p ! Z 1p Z 1p ! p p 1 ðg u þ g uÞ dðg mÞ ðg uÞ dðg mÞ þ ðg v Þ dðg mÞ 6g : p
X
X
X
Hence
g
1
Z
p
ðg u þ g v Þ dðg mÞ
1p !
¼g
1
X
Z
1 p gðg ðg u þ g v ÞÞ dðg mÞ
1p !
X
¼ g 1
Z
1p p dðg mÞ g g 1 gðg 1 ðg u þ g v ÞÞ
!
X
¼g
1
Z
1p ! 1 p g g ðgðu v ÞÞ dðg mÞ
X
¼ g 1
Z X
¼ g 1
1p g ðu v ÞðpÞ dðg mÞ
!
Z 1p ! Z ðpÞ 1 g g g ðu v Þ dðg mÞ ¼ X
X
ð1pÞ ðu v ÞðpÞ dm :
8637
H. Agahi et al. / Applied Mathematics and Computation 217 (2011) 8630–8639
On the other side, we have
g
Z
1
1p
p
ðg uÞ dðg mÞ
þ
Z
X
p
ðg v Þ dðg mÞ
1p ! ¼g
1
g g
Z
1
X
g g ððg uÞ Þdðg mÞ p
1
1p !!
X
þg g
1p !!! g g ððg v Þ Þ dðg mÞ
Z
1
p
1
X
Z
¼ g 1
1p ðpÞ g u dðg mÞ
!
X
g
Z
1
g
v
ðpÞ ðxÞ
1p ! dðg mÞ
X
Z g
¼ g 1
1p ! Z ðpÞ u dm g g 1
X
¼
Z
which completes the proof.
v ðpÞ dm
1p !
X
ð1pÞ Z ðpÞ u dm X
ð1qÞ v ðqÞ dm ;
X
h
In the case of idempotent pseudo-addition = sup also a version of Minkowski inequality holds. Observe that if = inf, ðpÞ then the corresponding inequality means (recall that x ¼ x for each x 2 [a, b], p > 0)
Z
ðu v Þ dm 6 sup
Z
X
u dm;
X
Z
v dm
;
X
i.e.,
! sup infðsupðuðxÞ; v ðxÞÞ; wðxÞÞ 6 sup supðinfðuðyÞ; wðyÞÞÞ; sup ðinfðv ðzÞ; wðzÞÞÞ ; x2X
y2X
z2X
which holds due to the distributivity of sup and inf. Finally, we turn our attention to the case I(a). Theorem 6. Let be represented by an increasing generator g, m be a complete sup-measure and p 2 ]0, 1[. Then for any functions u, v : X ? [a, b], it holds:
Z
sup
X
ð1pÞ Z ðsupðu; v ÞÞðpÞ dm ¼ sup
sup
ð1pÞ Z ðpÞ u dm ;
X
sup
X
ð1pÞ !
v ðpÞ dm
:
Proof. Let w be the density function related to m. As already was shown in proof of Theorem (4),
Z
sup
! ð1pÞ 1 up dm ¼ g 1 sup gðuðyÞÞg p ðwðyÞÞ ; y2X
X
and
Z X
ð1pÞ
sup
v p dm
1 ¼ g 1 sup gðv ðzÞÞg p ðwðzÞÞ : z2X
Therefore
sup
Z X
sup
ð1pÞ Z ðpÞ u dm ;
sup
ð1pÞ !
v ðpÞ dm
X
!! 1 1 ¼ g 1 sup sup gðuðyÞÞg p ðwðyÞÞ ; sup gðv ðzÞÞg p ðwðzÞÞ y2X
z2X
1 ¼ g 1 sup g ðsupðuðxÞ; v ðxÞÞÞ g p ðwðxÞÞ x2X
¼
Z X
what is the result we have to prove.
h
ð1pÞ ðsupðu; v ÞÞðpÞ dm ;
8638
H. Agahi et al. / Applied Mathematics and Computation 217 (2011) 8630–8639
6. Conclusion We have proved the Hölder and Minkowski integral type inequality for the pseudo-integral for its characteristic cases. There are several classical inequalities related to the Lebesgue integral which can be generated for non-linear integrals, including the pseudo-integrals. Up to the published results mentioned in the introduction, recall, for example, the Markov inequality
mðf P cÞ 6
Z
1 c
fdm;
X
valid for any integrable non-negative function f and positive constant c. Rewriting the Markov inequality into its equivalent form
c mðf P cÞ 6
Z
fdm;
X
we have a straightforward generalization for pseudo-integrals, namely
c mðf P cÞ 6
Z
f dm;
ð6Þ
X
whenever c 2 [a, b]+n{0} and f : X ? [a, b]+. This inequality is trivial if induced the standard ordering on [a, b], i.e., in cases I(a), III(a) and II with increasing generator g, due to the non-decreasingness of the corresponding pseudo-integrals, see [18,21], and the fact that the function fc : X ? [a, b] given by
fc ðxÞ ¼
c;
if f ðxÞ P c;
0; else
satisfies fc 6 f, and
Z
f dm ¼ c mðf P cÞ:
X
Moreover, if is cancellative on ]a, b[ (see cases I(a) and II with g increasing), then (6) generalized into ðpÞ
c mðf P cÞ 6
Z
ðpÞ
f dm;
X
where p is an arbitrary positive constant (recall the case p = 2 for the classical Lebesgue integral, which is a version of Chebyshev inequality in statistics). Acknowledgments The work on this paper was supported by grants APVV-0012-07, GACR 402/08/0618, and bilateral project SK-CN-019-07 between Slovakia and China, as well as by the project of Zhejiang Education Committee Y200700477. The fourth and fifth authors were supported in part by the Project MNZZˇSS 174009, and by the project ‘‘Mathematical Models of Intelligent Systems and their Applications’’ of Academy of Sciences and Arts of Vojvodina supported by Provincial Secretariat for Science and Technological Development of Vojvodina. References [1] [2] [3] [4] [5] [6] [7] [8] [9] [10] [11] [12] [13] [14] [15]
H. Agahi, R. Mesiar, Y. Ouyang, General Minkowski type inequalities for Sugeno integrals, Fuzzy Sets Syst. 161 (2010) 08–715. H. Agahi, R. Mesiar, Y. Ouyang, New general extensions of Chebyshev type inequalities for Sugeno integrals, Int. J. Approx. Reason. 51 (2009) 35–140. H. Agahi, R. Mesiar, Y. Ouyang, E. Pap, M. Štrboja, Berwald type inequality for Sugeno integral, Appl. Math. Comput. 217 (2010) 4100–4108. A. Flores-Franulicˇ, H. Román-Flores, A Chebyshev type inequality for fuzzy integrals, Appl. Math. Comput. 190 (2007) 1178–1184. J.C. Fodor, R.R. Yager, A. Rybalov, Structure of uninorms, Int. J. Uncertain. Fuzziness Knowledge-Based Syst. 5 (1997) 411–427. M. Grabisch, J.L. Marichal, R. Mesiar, E. Pap, Aggregation Functions, Encyclopedia of Mathematics and Its Applications, Vol.127, Cambridge University Press, 2009. E.P. Klement, R. Mesiar, E. Pap, On the relationship of associative compensatory operators to triangular norms and conorms, Int. J. Uncertain. Fuzziness Knowledge-Based Syst. 4 (2) (1996) 129–144. V.N. Kolokoltsov, V.P. Maslov, Idempotent calculus as the apparatus of optimization theory, I. Functional. Anal. i Prilozhen 23 (1) (1989) 1–14. V.N. Kolokoltsov, V.P. Maslov, Idempotent Analysis and Its Applications, Kluwer Academic Publishers., Dordrecht, Boston, London, 1997. W. Kuich, Semirings, Automata, Languages, Springer-Verlag, Berlin, 1986. V.P. Maslov, S.N. Samborskij (Eds.), Idempotent Analysis, Advances in Soviet Mathematics, American Mathematical Society, Vol. 13, Providence, Rhode Island, 1992. R. Mesiar, Y. Ouyang, General Chebyshev type inequalities for Sugeno integrals, Fuzzy Sets Syst. 160 (2009) 58–64. R. Mesiar, E. Pap, Idempotent integral as limit of g-integrals, Fuzzy Sets Syst. 102 (1999) 385–392. R. Mesiar, E. Pap, Aggregation of infinite sequences, Inform. Sci. 178 (18) (2008) 3557–3564. T. Murofushi, M. Sugeno, Fuzzy t-conorm integral with respect to fuzzy measures: generalization of Sugeno integral and Choquet integral, Fuzzy Sets Syst. 42 (1991) 57–71.
H. Agahi et al. / Applied Mathematics and Computation 217 (2011) 8630–8639 [16] [17] [18] [19] [20] [21] [22] [23] [24] [25] [26] [27] [28] [29] [30] [31] [32] [33]
8639
Y. Ouyang, R. Mesiar, Sugeno integral and the comonotone commuting property, Int. J. Uncertain. Fuzziness Knowledge-Based Syst. 17 (4) (2009). Y. Ouyang, R. Mesiar, J. Li, On the comonotonic-⁄-property for Sugeno integral, Appl. Math. Comput. 211 (2009) 450–458. E. Pap, An integral generated by decomposable measure, Univ. u Novom Sadu Zb. Rad. Prirod.-Mat. Fak. Ser. Mat. 20 (1) (1990) 135–144. E. Pap, g-Calculus, Univ. u Novom Sadu Zb. Rad. Prirod.-Mat. Fak. Ser. Mat. 23 (1) (1993) 145–156. E. Pap, Applications of Decomposable Measures, in: U. Höhle, R.S. Rodabaugh (Eds.), Handbook Mathematics of Fuzzy Sets-Logic, Topology and Measure Theory, Kluwer Academic Publishers., 1999, pp. 675–700. E. Pap, Null-Additive Set Functions, Kluwer Academic Publishers., Dordrecht- Boston-London, 1995. E. Pap, Decomposable measures and nonlinear equations, Fuzzy Sets Syst. 92 (1997) 205–222. E. Pap, Pseudo-Additive Measures and Their Aplications, in: E. Pap (Ed.), Handbook of Measure Theory, Elsevier, Amsterdam, 2002, pp. 1403–1465. E. Pap, Generalized real analysis and its applications, Int. J. Approx. Reason. 47 (2008) 368–386. E. Pap, N. Ralevic´, Pseudo-Laplace transform, Nonlinear Anal. 33 (1998) 553–560. E. Pap, M. Štrboja, Generalization of the Jensen inequality for pseudo-integral, Inform. Sci. 180 (2010) 543–548. E. Pap, D. Vivona, Non-commutative and associative pseudo-analysis and its applications on nonlinear partial differential equations, J. Math. Anal. Appl. 246 (2) (2000) 390–408. H. Román-Flores, A. Flores-Franulicˇ, Y. Chalco-Cano, A Jensen type inequality for fuzzy integrals, Inform. Sci. 177 (2007) 3192–3201. W. Rudin, Real and Complex Analysis, third ed., McGraw-Hill, New York, 1987. G. Sirbiladze, T. Gachechiladze, Restored fuzzy measures in expert decision-making, Inform. Sci. 169 (2005) 1–95. M. Sugeno, Theory of fuzzy integrals and its applications, Ph. D. Thesis, Tokyo Institute of Technology, 1974. M. Sugeno, T. Murofushi, Pseudo-additive measures and integrals, J. Math. Anal. Appl. 122 (1987) 197–222. H-H. Tsai, I-Y. Lu, The evaluation of service quality using generalized Choquet integral, Inform. Sci. 176 (2006) 40–663.