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Volume 2011, Article ID 208434, 16 pagesdoi:10.1155/2011/208434 Research Article A Method for a Solution of Equilibrium Problem and Fixed Point Problem of a Nonexpansive Semigroup in Hil

Trang 1

Volume 2011, Article ID 208434, 16 pages

doi:10.1155/2011/208434

Research Article

A Method for a Solution of Equilibrium

Problem and Fixed Point Problem of

a Nonexpansive Semigroup in Hilbert’s Spaces

1 Vietnamese Academy of Science and Technology, Institute of Information Technology,

18 Hoang Quoc Viet Road, Cau Giay, Hanoi, Vietnam

2 Department of Mathematics, Vietnam Maritime University, Hai Phong 35000, Vietnam

Correspondence should be addressed to Nguyen Buong,nbuong@ioit.ac.vn

Received 3 October 2010; Accepted 13 January 2011

Academic Editor: Ljubomir B Ciric

Copyright q 2011 N Buong and N D Duong This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited

We introduce a viscosity approximation method for finding a common element of the set of solutions for an equilibrium problem involving a bifunction defined on a closed, convex subset and the set of fixed points for a nonexpansive semigroup on another one in Hilbert’s spaces

1 Introduction

Let C be a nonempty, closed, and convex subset of a real Hilbert space H Denote the metric projection from x ∈ H onto C by P C x Let T : C → C be a nonexpansive mapping on C, that

is, T : C → C and Tx − Ty ≤ x − y, for all x, y ∈ C We use FT to denote the set of fixed points of T, that is, FT  {x ∈ C : x  Tx}.

Let {Ts : s > 0} be a nonexpansive semigroup on a closed convex subset C, that is,

1 for each s > 0, Ts is a nonexpansive mapping on C,

2 T0x  x for all x ∈ C,

3 Ts1 s2  Ts1 ◦ Ts2 for all s1, s2> 0,

4 for each x ∈ C, the mapping T·x from 0, ∞ into C is continuous.

Denote by F 

s>0 FTs We know 1,2 that F is a closed, convex subset in H and

F /  ∅ if C is bounded.

Trang 2

The equilibrium problem is for a bifunction Gu, v defined on C × C to find u∈ C

such that

Assume that the bifunction G satisfies the following set of standard properties:

A1 Gu, u  0, for all u ∈ C,

A2 Gu, v  Gv, u ≤ 0 for all u, v ∈ C × C,

A3 for every u ∈ C, Gu, · : C → −∞, ∞ is weakly lower semicontinuous and

convex,

A4 limt → 0 G1 − tu  tz, v ≤ Gu, v, for all u, z, v ∈ C × C × C.

Denote the set of solutions of 1.1 by EPG We also know 3 that EPG is a closed convex subset in H.

The problem studied in this paper is formulated as follows Let C1 and C2 be closed

convex subsets in H Let Gu, v be a bifunction satisfying conditions A1–A4 with C replaced by C1and let {Ts : s > 0} be a nonexpansive semigroup on C2 Find an element

where EPG and F denote the set of solutions of an equilibrium problem involving by a bifunction Gu, v on C1× C1and the fixed point set of a nonexpansive semigroup {Ts : s > 0} on a closed convex subset C2, respectively

In the case that C1 ≡ H, Gu, v  0, C2 C, and Ts  T, a nonexpansive mapping on

C, for all s > 0, 1.2 is the fixed point problem of a nonexpansive mapping In 2000, Moudafi

4 proved the following strong convergence theorem

Theorem 1.1. Let C be a nonempty, closed, convex subset of a Hilbert space H and let T be a nonexpansive mapping on C such that FT /  ∅ Let f be a contraction on C and let {x k } be a sequence

1  ε k fx k 

1

1  ε k Tx k , k ≥ 1, 1.3

where {ε k } ∈ 0, 1 satisfies

lim

k → ∞ ε k  0,



k1

k → ∞



ε k11 − 1

ε k



  0. 1.4

Then, {x k } converges strongly to p ∈ FT, where p  P FT  fp.

Trang 3

Such a method for approximation of fixed points is called the viscosity approximation method It has been developed by Chen and Song 5 to find p ∈ F, the set of fixed points for

a semigroup {Ts : s > 0} on C They proposed the following algorithm: x1∈ C and

x k1  μ k fx k 

1 − μ k 1

s k

s k

0

where f : C → C, is a contraction, {μ k } ⊂ 0, 1 and {s k} are sequences of positive real

numbers satisfying the conditions: μ k → 0,∞

k1 μ k  ∞, and s k → ∞ as k → ∞.

Recently, Yao and Noor 6 proposed a new viscosity approximation method

where {μ k }, {β k }, and {γ k } are in 0, 1, s k → ∞, for finding p ∈ F, when {Ts : s > 0}

satisfies the uniformly asymptotically regularity condition

lim

s → ∞sup

x∈ C

TtTsx − Tsx  0, 1.7

uniformly in t, and C is any bounded subset of C Further, Plubtieng and Pupaeng in 7 studied the following algorithm:

x k1  μ k fx k β k x k

1 − β k − μ ks k

0

where {μ k } and {β k } are in 0, 1 satisfying the following conditions: μ k  β k < 1, lim k → ∞ μ k limk → ∞ β k 0,

k≥1 μ k  ∞, and {s k} is a positive divergent real sequence

There were some methods proposed to solve equilibrium problem 1.1; see for instance 8 12 In particular, Combettes and Histoaga 3 proposed several methods for solving the equilibrium problem

In 2007, S Takahashi and W Takahashi 13 combinated the Moudafi’s method with the Combettes and Histoaga’s result in 3 to find an element p ∈ EPG ∩ FT They proved

the following strong convergence theorem

Theorem 1.2. Let C be a nonempty, closed, convex subset of a Hilbert space H, let T be a nonexpansive mapping on C and let G be a bifunction from C × C to −∞, ∞ satisfying (A1)– (A4) such that EPG ∩ FT /  ∅ Let f be a contraction on C and let {x k } and {u k } be sequences

G

u k , y

 1

r k u k − x k , y − u k

≥ 0, ∀y ∈ C,

x k1  μ k fx k 

1 − μ k

1.9

Trang 4

where {μ k } ∈ 0, 1 and {r k } ⊂ 0, ∞ satisfy

lim

k → ∞ μ k  0,



k1

μ k  ∞, lim inf

k → ∞ r k > 0,



k1



μ k1 − μ k



 < ∞, ∞

k1

|r k1 − r k | < ∞.

1.10

Then, {x k } and {u k } converge strongly to p ∈ EPG ∩ FT, where p  P EPG∩FT fp.

Very recently, Ceng and Wong in 14 combined algorithm 1.6 with the result in 3

to propose the following procudure:

G

u k , y

 1

r k u k − x k , y − u k

≥ 0, ∀y ∈ C,

x k1  μ k fx k β k x k  γ k Ts ku k , k ≥ 1,

1.11

for finding an element p ∈ EPG ∩ F in the case that C1  C2  C under the uniformly asymptotic regularity condition on the nonexpansive semigroup {Ts : s > 0} on C.

In this paper, motivated by the above results, to solve 1.2, we introduce the following algorithm:

x1∈ H, any element,

u k ∈ C1: G

u k , y

 1

r k u k − x k , y − u k

≥ 0, ∀y ∈ C1,

x k1  μ k fu k β k x k  γ k T k P C2u k , k ≥ 1,

1.12

where f is a contraction on H, that is, f : H → H and fx − fy ≤ ax − y, for all

x, y ∈ H, 0 ≤ a < 1,

T k x  1

s k

s k

0

for all x ∈ C2, {μ k }, {β k }, and {γ k } be the sequences in 0,1, and {r k }, {s k} are the sequences

in 0, ∞ satisfy the following conditions:

i μ k  β k  γ k 1,

ii limk → ∞ μ k 0,

k≥1 μ k ∞,

iii 0 < lim inf k → ∞ β k≤ lim supk → ∞ β k < 1,

iv limk → ∞ s k ∞ with bounded supk≥1 |s k − s k1|,

v lim infk → ∞ r k > 0 and lim k → ∞ |r k − r k1|  0

The strong convergence of 1.12-1.13 and its corollaries are showed in the next section

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2 Main Results

We formulate the following facts needed in the proof of our results

Lemma 2.1. Let H be a real Hilbert space H There holds the following identity:

x  y 2≤ x2 2 y, x  y

, ∀x, y ∈ H. 2.1

Lemma 2.2 see 15 Let C be a nonempty, closed, convex subset of a real Hilbert space H For any

x ∈ H, there exists a unique z ∈ C such that z − x ≤ y − x, for all y ∈ C, and z ∈ P C x if and only if z − x, y − z ≥ 0 for all y ∈ C.

Lemma 2.3 see 16 Let {a k } be a sequence of nonnegative real numbers satisfying the following

condition:

a k1 ≤ 1 − b ka k  b k c k , 2.2

k1 b k  ∞, and

lim supk → ∞ c k ≤ 0 Then, lim k → ∞ a k  0.

Lemma 2.4 see 9 Let C be a nonempty, closed, convex subset of H and G be a bifunction of C ×C

into −∞, ∞ satisfying the conditions (A1)–(A4) Let r > 0 and x ∈ H Then, there exists z ∈ C such that

r z − x, v − z ≥ 0, ∀v ∈ C. 2.3

Lemma 2.5 see 9 Assume that G : C × C → −∞, ∞ satisfies the conditions (A1)–(A4) For

r > 0 and x ∈ H, define a mapping T r : H → C as follows:

T rx  z ∈ C : Gz, v 1

r z − x, v − z ≥ 0 , ∀v ∈ C



. 2.4

Then, the following statements hold:

i T r is single-valued,

ii T r is firmly nonexpansive, that is, for any x, y ∈ H,

T r x − T r y 2

T rx − T r

y

, x − y

iii FT r   EPG,

iv EPG is closed and convex.

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Lemma 2.6 see 17 Let C be a nonempty bounded closed convex subset in a real Hilbert space H

and let {Ts : s > 0} be a nonexpansive semigroup on C Then, for any h > 0,

lim sup

t → ∞

sup

y∈C

Th

 1

t

t

0

Tsyds



−1

t

t

0

Tsyds

 0. 2.6

Lemma 2.7 Demiclosedness Principle 18 If C is a closed convex subset of H, T is a

nonexpansive mapping on C, {x k } is a sequence in C such that x k ⇀ x ∈ C and x k − Tx k → 0, then

x − Tx  0.

Lemma 2.8 see 19 Let {x k } and {z k } be bounded sequences in a Banach space E and {β k } be a

sequence in 0, 1 with 0 < lim inf k → ∞ β k≤ lim supk → ∞ β k < 1 Suppose x k1  β k x k  1 − β k z k

for all k ≥ 1 and lim sup k → ∞ z k1 − z k  − x k1 − x k  ≤ 0 Then, lim k → ∞ z k − x k   0.

Now, we are in a position to prove the following result

Theorem 2.9. Let C1 and C2 be two nonempty, closed, convex subsets in a real Hilbert space H Let G

be a bifunction from C1 × C1to −∞, ∞ satisfying conditions (A1)–(A4) with C replaced by C1, let

{Ts : s > 0} be a nonexpansive semigroup on C2such that EPG ∩ F /  ∅ and let f be a contraction

of H into itself Then, {x k } and {u k } generated by 1.12-1.13 converge strongly to p ∈ EPG ∩ F,

where p  PEPG∩Ffp.

Proof Let Q  P EPG∩F Then, Qf is a contraction of H into itself In fact, from fx − fy ≤

H, it implies that

Qfx − Qf

y

 ≤ fx − f

y

 ≤ ax − y. 2.7

Hence, Qf is a contraction of H into itself Since H is complete, there exists a unique element

ByLemma 2.4, {u k } and {x k } are well defined For each u ∈ EPG ∩ F, by putting

u k  T r k x kand using ii and iii inLemma 2.5, we have that

u k − u  T r k x k − T r k u ≤ x k − u. 2.8

Put M u  max{x1−u, 1/1−afu−u} Clearly, x1−u ≤ M u Suppose that x k −u ≤

M u Then, we have, from the nonexpansive property of T k P C2, condition i and 2.8, that

x k1 − u  μ k

fu k −u

 β kx k − u  γ kT k P C2u k − u

≤ μ k fu k −u  β k x k − u  γ k T k P C2u k − T k P C2u

≤ μ k

fu k −fu  fu − u

 β k x k − u  γ k u k − u

≤ μ k

au k − u  fu − u



1 − μ k

x k − u

Trang 7

1 − μ k1 − a

x k − u  μ k1 − a 1

1 − a fu − u

≤

1 − μ k1 − a

M u  μ k1 − aMu  M u

2.9

So, x k − u ≤ M u for all k ≥ 1 and hence {x k } is bounded Therefore, {u k }, {T k P C2u k}, and

{fu k} are also bounded

Next, we show that x k1 − x k  → 0 as k → ∞ For this purpose, we define a sequence {x k} by

x k1  β k x k

1 − β k

Then, we observe that

z k1 − z k μ k1 fu k1 γ k1 T k1 P C2u k1

1 − β k1

μ k fu k γ k T k P C2u k

1 − β k

 μ k1

1 − β k1 fu k1 − μ k

1 − β k fu k

 γ k1

1 − β k1

T k1 P C2u k1 − T k1 P C2u k

 γ k1

1 − β k1

T k1 P C2u kγ k

1 − β k

T k P C2u k

 μ k1

1 − β k1 fu k1 −

μ k

1 − β k fu k

 γ k1

1 − β k1T k1 P C2u k1 − T k1 P C2u k T k1 P C2u k

μ k1

1 − β k1 T k1 P C2u k − T k P C2u k μ k

1 − β k T k P C2u k ,

2.11

and, hence,

z k1 − z k  − x k1 − x k ≤ μ k1

1 − β k1



fu k1  T k1 P C2u k

 μ k

1 − β k



fu k  T k P C2u k γ k1

1 − β k1 u k1 − u k

 T k1 P C u k − T k P C u k  − x k1 − x k .

2.12

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Now, we estimate the value u k1 − u k  by using u k  T r k x k and u k1  T r k1 x k1 We have from 2.4 that

G

u k , y

 1

r k u k − x k , y − u k

≥ 0, ∀y ∈ C1, 2.13

G

u k1 , y

 1

r k1

u k1 − x k1 , y − u k1

≥ 0, ∀y ∈ C1. 2.14

Putting y  u k1in 2.13 and y  u k in 2.14, adding the one to the other obtained result and using A2, we obtain that

u

k − x k

r k

u k1 − x k1

r k1 , u k1 − u k



and, hence,



u k − u k1  u k1 − x kr k

r k1

u k1 − x k1, u k1 − u k



≥ 0. 2.16

Without loss of generality, let us assume that there exists a real number b such that r k > b > 0

for all k ≥ 1 Then, we have

u k1 − u k2≤



x k1 − x k



1 − r k

r k1



u k1 − x k1, u k1 − u k





x k1 − x k 





1 − r r k1 k





u k1 − x k1



u k1 − u k

2.17

and, hence,

u k1 − u k  ≤ x k1 − x k  1

r k1

|r k1 − r k |u k1 − x k1

≤ x k1 − x k 2M u

b |r k1 − r k |.

2.18

On the other hand,

T k P C2u k − T k1 P C2u k



1

s k

s k

0

TsP C2u k ds − 1

s k1

s k1

0

TsP C2u k ds



1

s k

s k

0

TsP C2u k − TsP C2uds − 1

s k1

s k1

0

TsP C2u k − TsP C2uds

Trang 9

1

s k

1

s k1

 s k1

0

TsP C2u k − TsP C2uds  1

s k

s k

s k1

TsP C2u k − TsP C2uds

≤1

s k

1

s k1





s k1 M u|s k − s k1|

≤ supk≥1 |s k1 − s k|

s k

2M u

2.19

So, we get from 2.10, 2.12, 2.18, 2.19, and the nonexpansive property of T k1 P C2that

z k1 − z k  − x k1 − x k ≤ μ k1

1 − β k1



fu k1  T k1 P C2u k

 μ k

1 − β k



fu k  T k P C2u k

 γ k1 2M u



1 − β k1

b |r k1 − r k| 

supk≥1 |s k1 − s k|

2.20

So,

lim sup

k → ∞

z k1 − z k  − x k1 − x k  ≤ 0, 2.21

and byLemma 2.8, we have

lim

k → ∞ z k − x k   0. 2.22

Consequently, it follows from 2.10 and condition iii that

lim

k → ∞ x k1 − x k  lim

k → ∞



1 − β k

z k − x k   0. 2.23

By 2.18, 2.23, and

lim

k → ∞ |r k − r k1 |  0, 2.24

we also obtain

lim

k → ∞ u k1 − u k   0. 2.25

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We have, for every u ∈ EPG ∩ F, from iii inLemma 2.5, that

u k − u2 T r k x k − T r k u2

≤ T r k x k − T r k u, x k − u

u k − u, x k − u

 1 2



u k − u2 x k − u2− u k − x k2

2.26

and, hence,

u k − u2≤ x k − u2− u k − x k2. 2.27

Therefore, from the convexity of  · 2and condition i, we have

x k1 − u2≤ μ k

fu k −u 2

 β k x k − u2 γ k T k P C2u k − u2

≤ μ k fu k  − u 2

 β k x k − u2 γ k u k − u2

≤ μ k

fu k  − u 2

 β k x k − u2 γ k



x k − u2− u k − x k2

≤ μ k

fu k  − u 2



1 − μ k

x k − u2− γ k u k − x k2

≤ μ k

fu k −u

 x k − u2− γ k u k − x k2

2.28

and, hence,

γ k u k − x k2≤ μ k fu k −u  x k − u2− x k1 − u2

≤ μ k fu k −u  2M u x k − x k1 .

2.29

Without loss of generality, we assume that 0 < β≤ β kβ < 1 for all k ≥ 1 Then, for

sufficiently large k,

0 ≤

1 − β − μ k



So, we have

lim

k → ∞ u k − x k   0. 2.31

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Further, since x k1  μ k fu k   β k x k  γ k T k P C2u k, by condition i, 2.19 and

x k1 − T k1 P C2u k1  μ k fu k β k x k  γ k T k P C2u k

−

μ k  β k  γ k

T k P C2u k  T k P C2u k − T k1 P C2u k1

 μ k

fu k −T k P C2u k

 β kx k − T k P C2u k

 T k P C2u k − T k1 P C2u k1 ,

2.32

we obtain that

x k1 − T k1 P C2u k1  ≤ μ k fu k −T k P C2u k   β k x k − T k P C2u k

 u k1 − u k  supk≥1 |s k1 − s k|

2.33

Then, from 2.25, 2.33 and the conditions on {μ k } and {s k}, it implies that



1 − β lim sup

k → ∞

x k − T k P C2u k  ≤ 0, 2.34

and so

lim sup

k → ∞

x k − T k P C2u k  ≤ 0. 2.35

Since

T k P C2u k − u k  ≤ T k P C2u k − x k   x k − u k , 2.36

we obtain from 2.31 that

lim

k → ∞ T k P C2u k − u k   0. 2.37

Next, we show that

lim sup

k → ∞

f

p

− p, x k − p

We choose a subsequence {u k i } of the sequence {u k} such that

lim sup

k → ∞

f

p

− p, x k − p

 lim

i → ∞ f

p

− p, x k i − p

. 2.39

As {u k } is bounded, there exists a subsequence {u k j } of the sequence {u k i} which converges

weakly to z From 2.37, we also have that {T k j P C2u k j } converges weakly to z Since {u k } ⊂ C1

and {T k P C u k } ⊂ C2and C1, C2are two closed convex subsets in H, we have that z ∈ C1∩ C2

... 2.14

Putting y  u k1in 2.13 and y  u k in 2.14, adding the one to the other obtained result and using A2, we obtain that

u... F,

where p  PEPG∩Ffp.

Proof Let Q  P EPG∩F Then, Qf is a contraction of H into itself In fact, from fx − fy ≤

H, it implies that... Qf is a contraction of H into itself Since H is complete, there exists a unique element

ByLemma 2.4, {u k } and {x k } are well defined For each u ∈ EPG

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