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An extension of Jensen’s discrete inequality to partially convex functions

Abstract

This paper deals with a new extension of Jensen’s discrete inequality to a partially convex function f, which is defined on a real interval I, convex on a subinterval [a,b]I, decreasing for uc and increasing for uc, where c[a,b]. Several relevant applications are given to show the effectiveness of the proposed partially convex function theorem.

MSC:26D07, 26D10, 41A44.

1 Introduction

Let x={ x 1 , x 2 ,, x n } be a sequence of real numbers belonging to a given real interval I, and let p={ p 1 , p 2 ,, p n } be a sequence of given positive weights associated to x and satisfying p 1 + p 2 ++ p n =1. If f is a convex function on I, then

i = 1 n p i f( x i )f ( i = 1 n p i x i )

is the classical Jensen discrete inequality (see [1, 2]).

In [3], we extended the weighted Jensen discrete inequality to a half convex function f, defined on a real interval I and convex for us or us, where sI.

WHCF-Theorem Let f be a function defined on a real interval I and convex for us or us, where sI, and let p 1 , p 2 ,, p n be positive real numbers such that

p=min{ p 1 , p 2 ,, p n }, p 1 + p 2 ++ p n =1.

The inequality

p 1 f( x 1 )+ p 2 f( x 2 )++ p n f( x n )f(s)

holds for all x 1 , x 2 ,, x n I satisfying p 1 x 1 + p 2 x 2 ++ p n x n =s if and only if

pf(x)+(1p)f(y)f(s)

for all x,yI such that px+(1p)y=s.

For the particular case p 1 = p 2 == p n =1/n, from the weighted half convex function theorem, we get the half convex function theorem (see [4, 5]).

HCF-Theorem Let f be a function defined on a real interval I and convex for us or us, where sI. The inequality

f( x 1 )+f( x 2 )++f( x n )nf(s)

holds for all x 1 , x 2 ,, x n I satisfying x 1 + x 2 ++ x n =ns if and only if

f(x)+(n1)f(y)nf(s)

for all x,yI which satisfy x+(n1)y=ns.

Applying HCF-Theorem and WHCF-Theorem to the function f defined by f(u)=g( e u ) and replacing s by lnr, x by lnx, y by lny, and each x i by ln a i for i=1,2,,n, we get the following corollaries, respectively.

HCF-Corollary Let g be a function defined on a positive interval I such that the function f defined by f(u)=g( e u ) is convex for e u r or e u r, where rI. The inequality

g( a 1 )+g( a 2 )++g( a n )ng(r)

holds for all a 1 , a 2 ,, a n I satisfying a 1 a 2 a n = r n if and only if

g(a)+(n1)g(b)ng(r)

for all a,bI which satisfy a b n 1 = r n .

WHCF-Corollary Let g be a function defined on a positive interval I such that the function f defined by f(u)=g( e u ) is convex for e u r or e u r, where rI, and let p 1 , p 2 ,, p n be positive real numbers such that

p=min{ p 1 , p 2 ,, p n }, p 1 + p 2 ++ p n =1.

The inequality

p 1 g( a 1 )+ p 2 g( a 2 )++ p n g( a n )g(r)

holds for all a 1 , a 2 ,, a n I satisfying a 1 p 1 a 2 p 2 a n p n =r if and only if

pg(a)+(1p)g(b)g(r)

for all a,bI such that a p b 1 p =r.

In this paper, we will use HCF-Theorem and WHCF-Theorem to extend Jensen’s inequality to partially convex functions, which are defined on a real interval I and convex only on a subinterval [a,b]I.

Remark 1.1 Clearly, HCF-Theorem is a particular case of WHCF-Theorem. However, we posted here the both theorems because HCF-Theorem is much more useful to prove many inequalities of extended Jensen type.

Remark 1.2

Actually, in HCF-Theorem and WHCF-Theorem, it suffices to consider that

xsy

when f is convex for us, and

xsy

when f is convex for us (see [3]). Also, in HCF-Corollary and WHCF-Corollary, it suffices to consider that

arb

when f is convex for e u r, and

arb

when f is convex for e u r.

2 Main results

The main results of the paper are given by the following two theorems: partially convex function theorem (PCF-Theorem) and weighted partially convex function theorem (WPCF-Theorem).

PCF-Theorem Let f be a function defined on a real interval I, decreasing for u s 0 and increasing for u s 0 , where s 0 I. In addition, assume that f is convex on [ s 0 ,s] or [s, s 0 ], where sI. The inequality

f( x 1 )+f( x 2 )++f( x n )nf(s)

holds for all x 1 , x 2 ,, x n I satisfying x 1 + x 2 ++ x n =ns if and only if

f(x)+(n1)f(y)nf(s)

for all x,yI which satisfy x+(n1)y=ns.

WPCF-Theorem Let f be a function defined on a real interval I, decreasing for u s 0 and increasing for u s 0 , where s 0 I, and let p 1 , p 2 ,, p n be positive real numbers such that

p=min{ p 1 , p 2 ,, p n }, p 1 + p 2 ++ p n =1.

In addition, assume that f is convex on [ s 0 ,s] or [s, s 0 ], where sI. The inequality

p 1 f( x 1 )+ p 2 f( x 2 )++ p n f( x n )f(s)

holds for all x 1 , x 2 ,, x n I satisfying p 1 x 1 + p 2 x 2 ++ p n x n =s if and only if

pf(x)+(1p)f(y)f(s)

for all x,yI such that px+(1p)y=s.

Applying PCF-Theorem and WPCF-Theorem to the function f defined by f(u)=g( e u ) and replacing s 0 by ln r 0 , s by lnr, x by lnx, y by lny, and each x i by ln a i for i=1,2,,n, we get the following corollaries, respectively.

PCF-Corollary Let g be a function defined on a positive interval I, decreasing for t r 0 and increasing for t r 0 , where r 0 I. In addition, assume that the function f defined by f(u)=g( e u ) is convex for r 0 e u r or r e u r 0 , where rI. The inequality

g( a 1 )+g( a 2 )++g( a n )ng(r)

holds for all a 1 , a 2 ,, a n I satisfying a 1 a 2 a n = r n if and only if

g(a)+(n1)g(b)ng(r)

for all a,bI which satisfy a b n 1 = r n .

WPCF-Corollary Let g be a function defined on a positive interval I, decreasing for t r 0 and increasing for t r 0 , where r 0 I, and let p 1 , p 2 ,, p n be positive real numbers such that

p=min{ p 1 , p 2 ,, p n }, p 1 + p 2 ++ p n =1.

In addition, assume that the function f defined by f(u)=g( e u ) is convex for r 0 e u r or r e u r 0 , where rI. The inequality

p 1 g( a 1 )+ p 2 g( a 2 )++ p n g( a n )g(r)

holds for all a 1 , a 2 ,, a n I satisfying a 1 p 1 a 2 p 2 a n p n =r if and only if

pg(a)+(1p)g(b)g(r)

for all a,bI such that a p b 1 p =r.

In order to prove WPCF-Theorem, we need the following lemmas.

Lemma 2.1 Let f be a function defined on a real interval I, decreasing for u s 0 and increasing for u s 0 , where s 0 I, and let p 1 , p 2 ,, p n be positive real numbers such that

p 1 + p 2 ++ p n =1.

For sI, s s 0 , if the inequality

p 1 f( x 1 )+ p 2 f( x 2 )++ p n f( x n )f(s)

holds for all x 1 , x 2 ,, x n I such that

x 1 , x 2 ,, x n s 0 , p 1 x 1 + p 2 x 2 ++ p n x n =s,

then it holds for all x 1 , x 2 ,, x n I such that

p 1 x 1 + p 2 x 2 ++ p n x n =s.

Lemma 2.2 Let f be a function defined on a real interval I, decreasing for u s 0 and increasing for u s 0 , where s 0 I, and let p 1 , p 2 ,, p n be positive real numbers such that

p 1 + p 2 ++ p n =1.

For sI, s s 0 , if the inequality

p 1 f( x 1 )+ p 2 f( x 2 )++ p n f( x n )f(s)

holds for all x 1 , x 2 ,, x n I such that

x 1 , x 2 ,, x n s 0 , p 1 x 1 + p 2 x 2 ++ p n x n =s,

then it holds for all x 1 , x 2 ,, x n I such that

p 1 x 1 + p 2 x 2 ++ p n x n =s.

Notice that in the case s s 0 , WPCF-Theorem follows immediately from Lemma 2.1 and WHCF-Theorem applied to the interval

I 0 ={uIu s 0 },

because f is convex for u I 0 , us. Also, in the case s s 0 , WPCF-Theorem follows immediately from Lemma 2.2 and WHCF-Theorem applied to the interval

I 0 ={uIu s 0 },

because f is convex for u I 0 , us.

Remark 2.3

According to Remark 1.2, it suffices to consider in PCF-Theorem and WPCF-Theorem that

xsy

when f is convex on [ s 0 ,s], and

xsy

when f is convex on [s, s 0 ]. Also, it suffices to consider in PCF-Corollary and WPCF-Corollary that

arb

when f is convex for r 0 e u r, and

arb

when f is convex for r e u r 0 .

Remark 2.4

Let us denote

g(u)= f ( u ) f ( s ) u s ,h(x,y)= g ( x ) g ( y ) x y .

In many applications, it is useful to replace the hypothesis

pf(x)+(1p)f(y)f(s)

in WHCF-Theorem and WPCF-Theorem by the equivalent condition:

h(x,y)0x,yI,px+(1p)y=s.

This equivalence is true since

p f ( x ) + ( 1 p ) f ( y ) f ( s ) = p [ f ( x ) f ( s ) ] + ( 1 p ) [ f ( y ) f ( s ) ] = p ( x s ) g ( x ) + ( 1 p ) ( y s ) g ( y ) = p ( 1 p ) ( x y ) [ g ( x ) g ( y ) ] = p ( 1 p ) ( x y ) 2 h ( x , y ) .

In the particular case p 1 = p 2 == p n =1/n, this condition becomes

h(x,y)0x,yI,x+(n1)y=ns.

Remark 2.5 The required inequalities in WHCF-Theorem and WPCF-Theorem turn into equalities for x 1 = x 2 == x n =s. In addition, on the assumption that

p=min{ p 1 , p 2 ,, p n },

the equality also holds for x 1 =x and x 2 == x n =y if there exist x,yI, xy, such that

px+(1p)y=s,pf(x)+(1p)f(y)=f(s).

3 Proof of lemmas

Proof of Lemma 2.1 For i=1,2,,n, define the numbers y i I as

y i = { s 0 , x i s 0 , x i , x i > s 0 .

Since y i x i for i=1,2,,n, we have

p 1 y 1 + p 2 y 2 ++ p n y n p 1 x 1 + p 2 x 2 ++ p n x n =s.

In addition, since f( y i )f( x i ) for x i s 0 and f( y i )=f( x i ) for x i > s 0 , we have f( y i )f( x i ) for i=1,2,,n, and hence

p 1 f( y 1 )+ p 2 f( y 2 )++ p n f( y n ) p 1 f( x 1 )+ p 2 f( x 2 )++ p n f( x n ).

Thus, it suffices to show that

p 1 f( y 1 )+ p 2 f( y 2 )++ p n f( y n )f(s)

for all y 1 , y 2 ,, y n s 0 such that p 1 y 1 + p 2 y 2 ++ p n y n s. By hypothesis, this inequality is true for y 1 , y 2 ,, y n s 0 and p 1 y 1 + p 2 y 2 ++ p n y n =s. Since f is increasing for uI, u s 0 , the more we have p 1 f( y 1 )+ p 2 f( y 2 )++ p n f( y n )f(s) for y 1 , y 2 ,, y n s 0 and p 1 y 1 + p 2 y 2 ++ p n y n s. □

Proof of Lemma 2.2 For i=1,2,,n, define the numbers y i I as follows:

y i = { x i , x i s 0 , s 0 , x i > s 0 .

We have y i s 0 , y i x i and f( y i )f( x i ) for i=1,2,,n. Therefore,

p 1 y 1 + p 2 y 2 ++ p n y n p 1 x 1 + p 2 x 2 ++ p n x n =s

and

p 1 f( y 1 )+ p 2 f( y 2 )++ p n f( y n ) p 1 f( x 1 )+ p 2 f( x 2 )++ p n f( x n ).

Thus, it suffices to show that

p 1 f( y 1 )+ p 2 f( y 2 )++ p n f( y n )f(s)

for all y 1 , y 2 ,, y n s 0 such that p 1 y 1 + p 2 y 2 ++ p n y n s. By hypothesis, this inequality is true for y 1 , y 2 ,, y n s 0 and p 1 y 1 + p 2 y 2 ++ p n y n =s. Since f is decreasing for uI, u s 0 , we have also p 1 f( y 1 )+ p 2 f( y 2 )++ p n f( y n )f(s) for y 1 , y 2 ,, y n s 0 and p 1 y 1 + p 2 y 2 ++ p n y n s. □

4 Applications

Application 4.1 Let x 1 , x 2 ,, x n n n 2 (n3) such that

x 1 + x 2 ++ x n =n.

If k n ( 3 n 4 ) ( n 2 ) 2 , then

1 x 1 k + x 1 2 + 1 x 2 k + x 2 2 ++ 1 x n k + x n 2 0,

with equality for x 1 = x 2 == x n =1, and also for x 1 = n n 2 and x 2 == x n = n n 2 (or any cyclic permutation).

Proof

Rewrite the desired inequality as

f( x 1 )+f( x 2 )++f( x n )nf(s),

where

s = 1 , f ( u ) = 1 u k + u 2 , u I = [ n n 2 , n ( 2 n 3 ) n 2 ] .

We have

f ( u ) = u 2 2 u k ( u 2 + k ) 2 , f ( u ) = 2 f 1 ( u ) ( u 2 + k ) 3 ,

where

f 1 (u)= u 3 +3 u 2 +3kuk=(k+1)(3u1) ( u 1 ) 3 .

There are two cases to consider.

Case 1: k + 1 2 ( n 1 ) 2 n 2 . For uI, u1, we have

f 1 (u)>(k+1)(u1) ( u 1 ) 3 =(u1) [ k + 1 ( u 1 ) 2 ] 0,

since

u1 n ( 2 n 3 ) n 2 1= 2 ( n 1 ) 2 n 2 k + 1 .

Therefore, f is convex for uI, u1. By HCF-Theorem, we only need to show that f(x)+(n1)f(y)nf(1) for all x,yI which satisfy x+(n1)y=n. According to Remark 2.4, this is true if h(x,y)0 for x,yI and x+(n1)y=n, where

h(x,y)= g ( x ) g ( y ) x y ,g(u)= f ( u ) f ( 1 ) u 1 .

Indeed, we have

g(u)= 1 u 2 + k

and

h(x,y)= x + y ( x 2 + k ) ( y 2 + k ) = n + ( n 2 ) x ( n 1 ) ( x 2 + k ) ( y 2 + k ) 0.

Case 2: 2 ( n 1 ) n 2 k + 1 < 2 ( n 1 ) 2 n 2 . Since

1 1 + k n n 2

and

1+ 1 + k <1+ 2 ( n 1 ) 2 n 2 = n ( 2 n 3 ) n 2 ,

from the expression of f it follows that f is decreasing on [ n n 2 , s 0 ] and increasing on [ s 0 , n ( 2 n 3 ) n 2 ], where

s 0 =1+ k + 1 >1.

On the other hand, for u[1, s 0 ], we have

f 1 (u)>(k+1)(u1) ( u 1 ) 3 =(u1) [ k + 1 ( u 1 ) 2 ] 0,

since

u1 s 0 1= k + 1 .

Thus, f is convex on [1, s 0 ]. By PCF-Theorem, we only need to show that f(x)+(n1)f(y)nf(1) for all x,yI such that x+(n1)y=n. We have proved this before (at Case 1). □

Application 4.2 If x 1 , x 2 ,, x n (n3) are real numbers such that

x 1 + x 2 ++ x n =n,

then [6]

i = 1 n n ( n + 1 ) 2 x i n 2 + ( n 2 ) x i 2 n,

with equality for x 1 = x 2 == x n =1, and also for x 1 =n and x 2 == x n =0 (or any cyclic permutation).

Proof The desired inequality is true for x 1 > n ( n + 1 ) 2 since

n ( n + 1 ) 2 x 1 n 2 + ( n 2 ) x 1 2 <0

and

n ( n + 1 ) 2 x i n 2 + ( n 2 ) x i 2 < n n 1 ,i=2,3,,n.

Consider further that x 1 , x 2 ,, x n n ( n + 1 ) 2 and rewrite the desired inequality as

f( x 1 )+f( x 2 )++f( x n )nf(s),

where

s = 1 , f ( u ) = 2 u n ( n + 1 ) ( n 2 ) u 2 + n 2 , u I = [ n ( 3 n 2 ) 2 , n ( n + 1 ) 2 ] .

We have

f ( u ) 2 ( n 2 ) = n 2 + n ( n + 1 ) u u 2 [ ( n 2 ) u 2 + n 2 ] 2

and

f ( u ) 2 ( n 2 ) = f 1 ( u ) [ ( n 2 ) u 2 + n 2 ] 3 ,

where

f 1 (u)=2(n2) u 3 3n(n+1)(n2) u 2 2 n 2 (2n3)u+ n 3 (n+1).

From the expression of f , it follows that f is decreasing on [ n ( 3 n 2 ) 2 , s 0 ] and increasing on [ s 0 , n ( n + 1 ) 2 ], where

s 0 = n 2 ( n + 1 n 2 + 2 n + 5 ) (1,0).

On the other hand, for 1u1, we have

f 1 ( u ) > 2 ( n 2 ) 3 n ( n + 1 ) ( n 2 ) 2 n 2 ( 2 n 3 ) + n 3 ( n + 1 ) = n 2 ( n 3 ) 2 + 4 ( n + 1 ) > 0 ,

and hence f (u)>0. Since [ s 0 ,s][1,1], f is convex on [ s 0 ,s]. By PCF-Theorem, we only need to show that f(x)+(n1)f(y)nf(1) for all x,yI which satisfy x+(n1)y=n. According to Remark 2.4, this is true if h(x,y)0 for x,yI and x+(n1)y=n, where

h(x,y)= g ( x ) g ( y ) x y ,g(u)= f ( u ) f ( 1 ) u 1 .

Indeed, we have

g(u)= ( n 2 ) u + n ( n 2 ) u 2 + n 2

and

h ( x , y ) n 2 = n 2 n ( x + y ) ( n 2 ) x y [ ( n 2 ) x 2 + n 2 ] [ ( n 2 ) y 2 + n 2 ] = ( n 1 ) ( n 2 ) y 2 [ ( n 2 ) x 2 + n 2 ] [ ( n 2 ) y 2 + n 2 ] 0 .

 □

Application 4.3 Let x 1 , x 2 ,, x n (n2) be positive real numbers such that

x 1 + x 2 ++ x n n.

If k>1, then [6]

x 1 x 1 k + x 2 + + x n + x 2 x 1 + x 2 k + + x n ++ x n x 1 + x 2 + + x n k 1,

with equality for x 1 = x 2 == x n =1.

Proof

Using the substitutions

s= x 1 + x 2 + + x n n ,

and

y 1 = x 1 s , y 2 = x 2 s ,, y n = x n s ,

the desired inequality becomes

y 1 s k 1 y 1 k + y 2 + + y n ++ y n y 1 + y 2 + + s k 1 y n k 1,

where s1 and y 1 + y 2 ++ y n =n. Clearly, if this inequality holds for s=1, then it holds for any s1. Therefore, we need only to consider the case s=1, when x 1 + x 2 ++ x n =n, and the desired inequality is equivalent to

x 1 x 1 k x 1 + n + x 2 x 2 k x 2 + n ++ x n x n k x n + n 1.

There are two cases to consider: 1<kn+1 and k>n+1.

Case 1: 1<kn+1. By Bernoulli’s inequality, we have

x 1 k 1+k( x 1 1),

and hence

x 1 k x 1 +nnk+1+(k1) x 1 0.

Consequently, it suffices to prove that

i = 1 n x i n k + 1 + ( k 1 ) x i 1.

For k=n+1, this inequality is an equality. Otherwise, for 1<k<n+1, we rewrite the inequality as

i = 1 n 1 n k + 1 + ( k 1 ) x i 1,

which follows from the AM-HM inequality as follows:

i = 1 n 1 n k + 1 + ( k 1 ) x i n 2 i = 1 n [ n k + 1 + ( k 1 ) x i ] =1.

Case 2: k>n+1. Write the desired inequality as

f( x 1 )+f( x 2 )++f( x n )nf(s),

where

s = 1 , f ( u ) = u u k u + n , u I = ( 0 , n ) .

We have

f (u)= ( k 1 ) u k n ( u k u + n ) 2

and

f (u)= f 1 ( u ) ( u k u + n ) 3 ,

where

f 1 (u)=k(k1) u k 1 ( u k u + n ) 2 ( k u k 1 1 ) [ ( k 1 ) u k n ] .

From the expression of f , it follows that f is decreasing on (0, s 0 ] and increasing on [ s 0 ,n), where

s 0 = ( n k 1 ) 1 / k <1.

On the other hand, for u[ s 0 ,s], we have

(k1) u k n(k1) s 0 k n=0,

and hence

f 1 ( u ) k ( k 1 ) u k 1 ( u k u + n ) 2 k u k 1 [ ( k 1 ) u k n ] = k u k 1 [ ( k 1 ) ( u k + u ) + n ( k + 1 ) ] k u k 1 [ 2 ( k 1 ) + 2 ( k + 1 ) ] = 4 k u k 1 > 0 .

Thus, f (u)>0, and hence f is convex on [ s 0 ,s]. By PCF-Theorem and Remark 2.3, we need to show that f(x)+(n1)f(y)nf(1) for all positive x, y which satisfy x1y>0 and x+(n1)y=n. Consider the nontrivial case where x>1>y>0 and write the inequality f(x)+(n1)f(y)nf(1) as follows:

x x k x n + ( n 1 ) y y k y + n 1 , x k x + n x ( y k y + n ) y k n y + n , x k x ( n 1 ) y ( y y k ) y k n y + n .

Since y<1 and y k ny+n> y k y+1>0, it suffices to show that

x k x ( n 1 ) ( y y k ) y k y + 1 ,

which is equivalent to

h(x) y y k ( 1 y ) ( y k y + 1 ) ,

where

h(x)= x k x x 1 .

By the weighted AM-GM inequality, we have

h (x)= ( k 1 ) x k + 1 k x k 1 ( x 1 ) 2 >0,

and hence h is strictly increasing. Since x1=(n1)(1y)1y, we get

h(x)h(2y)= ( 2 y ) k 2 + y 1 y .

Thus, it suffices to show that

( 2 y ) k 2+y y y k y k y + 1 .

Putting 1y=t, 0<t<1, we write this inequality as

( 2 y ) k 1 + y 1 y k y + 1 , ( 1 + t ) k t 1 ( 1 t ) k + t , ( 1 t 2 ) k + t ( 1 + t ) k 1 + t 2 + t ( 1 t ) k .

By Bernoulli’s inequality,

( 1 t 2 ) k +t ( 1 + t ) k >1k t 2 +t(1+kt)=1+t.

So, we only need to show that t(1t)t ( 1 t ) k , which is clearly true. □

Application 4.4 Let x 1 , x 2 ,, x n (n2) be positive real numbers such that

x 1 + x 2 ++ x n =n.

If 0<k n n 1 , then [6]

x 1 k / x 1 + x 2 k / x 2 ++ x n k / x n n

with equality for x 1 = x 2 == x n =1.

Proof

According to the power mean inequality, we have

( x 1 p / x 1 + x 2 p / x 2 + + x n p / x n n ) 1 / p ( x 1 q / x 1 + x 2 q / x 2 + + x n q / x n n ) 1 / q

for all pq>0. Thus, it suffices to prove the desired inequality for

k= n n 1 ,1<k2.

Rewrite the desired inequality as

f( x 1 )+f( x 2 )++f( x n )nf(s),

where

s = 1 , f ( u ) = u k / u , u I = ( 0 , n ) .

We have

f ( u ) = k u k u 2 ( ln u 1 ) , f ( u ) = k u k u 4 [ u + ( 1 ln u ) ( 2 u k + k ln u ) ] .

From the expression of f , it follows that f is decreasing on (0, s 0 ] and increasing on [ s 0 ,n), where

s 0 =e.

In addition, we claim that f is convex on [s, s 0 ]. Indeed, since 1lnu0 and

2uk+klnu2k0,

we have f >0 for u[s, s 0 ]. Therefore, by PCF-Theorem and Remark 2.3, we only need to show that

x k / x +(n1) y k / y n

for 0<x1y and x+(n1)y=n. We have

k x k>1.

Also, from

k y = n ( n 1 ) y > n x + ( n 1 ) y =1, k y 2 y 2,

we get

0< k y 11.

Therefore, by Bernoulli’s inequality, we have

x k / x + ( n 1 ) y k / y n = 1 ( 1 x ) k / x + ( n 1 ) y y k / y 1 n 1 1 + k x ( 1 x 1 ) + ( n 1 ) y [ 1 + ( k y 1 ) ( y 1 ) ] n = x 2 x 2 k x + k ( k 1 ) x 2 ( 2 k ) x = ( x 1 ) 2 [ ( k 1 ) x + k ( 2 k ) ] x 2 k x + k 0 .

 □

Application 4.5 If a, b, c are positive real numbers such that abc=1, then

1 a 17 + 4 a + 6 a 2 + 1 b 17 + 4 b + 6 b 2 + 1 c 17 + 4 c + 6 c 2 0,

with equality for a=b=c=1 and also for 8a=b=c=2 (or any cyclic permutation).

Proof

Write the desired inequality as

g(a)+g(b)+g(c)3g(r),

where r=1 and

g(t)= 1 t 1 + p t + q t 2 ,tI=(0,),

where p= 4 17 , q= 6 17 . From

g (t)= q t 2 2 q t p 1 ( 1 + p t + q t 2 ) 2 ,

it follows that g is decreasing on (0, r 0 ] and increasing on [ r 0 ,), where

r 0 =1+ 1 + p + 1 q >1.

We have

f ( u ) = g ( e u ) = 1 e u 1 + p e u + q e 2 u , f ( u ) = t h ( t ) ( 1 + p t + q t 2 ) 3 ,

where

t= e u ,h(t)= q 2 t 4 +q(p+4q) t 3 +3q(p+2) t 2 + ( p 4 q + p 2 ) tp1.

We will show that h(t)>0 for t[r, r 0 ], and hence f is convex for

e u [r, r 0 ]= [ 1 , 1 + 1 + p + 1 q ] .

We have

h ( t ) = 4 q 2 t 3 + 3 q ( p + 4 q ) t 2 + 6 q ( p + 2 ) t + p 4 q + p 2 , h ( t ) = 6 q [ 2 q t 2 + ( p + 4 q ) t + p + 2 ] .

Since

h (t)=6q [ 2 ( q t 2 + 2 q t + p + 1 ) + p ( t 1 ) ] 12q ( q t 2 + 2 q t + p + 1 ) 0,

h (t) is increasing,

h (t) h (1)= p 2 +9pq+8 q 2 +p+8q>0,

h is increasing, and hence

h ( t ) h ( 1 ) = p 2 + 4 p q + 3 q 2 + 2 q 1 = ( p + 2 q ) 2 ( q 1 ) 2 = ( p + q + 1 ) ( p + 3 q 1 ) > 0 .

By PCF-Corollary, we only need to prove that g(a)+2g(b)3g(1) for a b 2 =1; that is,

1 a 1 + p a + q a 2 + 2 ( 1 b ) 1 + p b + q b 2 0,
b 2 ( b 2 1 ) b 4 + p b 2 + q + 2 ( 1 b ) 1 + p b + q b 2 0,
pA+qBC,

where

A = b 2 ( b 1 ) 2 ( b + 2 ) , B = ( b 1 ) 2 ( b 4 + 2 b 3 + 2 b 2 + 2 b + 2 ) , C = b 2 ( b 1 ) 2 ( 2 b + 1 ) .

Indeed, we have

17(pA+qBC)=3 ( b 1 ) 2 ( b 2 ) 2 ( 2 b 2 + 2 b + 1 ) 0.

 □

Application 4.6 If a, b, c are positive real numbers such that abc=1, then [6]

7 6 a 2 + a 2 + 7 6 b 2 + b 2 + 7 6 c 2 + c 2 1,

with equality for a=b=c=1 and also for 8a=b=c=2 (or any cyclic permutation).

Proof

Write the desired inequality as

g(a)+g(b)+g(c)3g(r),

where r=1 and

g(t)= 7 6 t 2 + t 2 ,tI=(0,).

From

g (t)= 2 ( 3 t + 2 ) ( t 3 ) ( 2 + t 2 ) 2 ,

it follows that g is decreasing on (0, r 0 ] and increasing on [ r 0 ,), where

r 0 =3.

We have

f ( u ) = g ( e u ) = 7 6 e u 2 + e 2 u , f ( u ) = 2 t h ( t ) ( 2 + t 2 ) 3 ,

where

t= e u ,h(t)=3 t 4 +14 t 3 +36 t 2 28t12.

We will show that h(t)>0 for t[r, r 0 ], and hence f is convex for

e u [r, r 0 ]=[1,3].

We have

h ( t ) = 3 ( t 2 1 ) ( 9 t 2 ) + 14 t 3 + 6 t 2 28 t + 15 = 3 ( t 2 1 ) ( 9 t 2 ) + 14 t 2 ( t 1 ) + 14 ( t 1 ) 2 + 6 t 2 + 1 > 0 .

By PCF-Corollary, we only need to prove that g(a)+2g(b)3g(1) for a b 2 =1; that is,

7 6 a 2 + a 2 + 2 ( 7 6 b ) 2 + b 2 1 , b 2 ( 7 b 2 6 ) 2 b 4 + 1 + 2 ( 7 6 b ) 2 + b 2 1 , ( b 1 ) 2 ( b 2 ) 2 ( 5 b 2 + 6 b + 3 ) 0 .

Since the last inequality is true, the proof is completed. □

Application 4.7 Let a, b, c be positive real numbers such that abc=1. If

k [ 13 3 3 , 13 3 3 ] ,

then [6]

a + k a 2 + 1 + b + k b 2 + 1 + c + k c 2 + 1 3 ( 1 + k ) 2 ,

with equality for a=b=c=1. If k= 13 3 3 , then the equality holds also for a=7+4 3 and b=c=2 3 (or any cyclic permutation). If k= 13 3 3 , then the equality holds also for a=74 3 and b=c=2+ 3 (or any cyclic permutation).

Proof

The desired inequality is equivalent to

( a 1 ) 2 a 2 + 1 k ( 2 a 2 + 1 3 ) .

Thus, it suffices to prove this inequality for only |k|= 13 3 3 . On the other hand, replacing a, b, c by 1/a, 1/b, 1/c, the inequality becomes

( a 1 ) 2 a 2 + 1 k ( 3 2 a 2 + 1 ) .

Thus, we only need to prove the desired inequality for k= 13 3 3 . Write this inequality as

g(a)+g(b)+g(c)3g(r),

where r=1 and

g(t)= t k t 2 + 1 ,tI=(0,).

From

g (t)= t 2 + 2 k t 1 ( t 2 + 1 ) 2 ,

it follows that g is decreasing on (0, r 0 ] and increasing on [ r 0 ,), where

r 0 = 3 9 .

We have

f ( u ) = g ( e u ) = e u k e 2 u + 1 , f ( u ) = t h ( t ) ( t 2 + 1 ) 3 ,

where

t= e u ,h(t)= t 4 4k t 3 +6 t 2 +4kt1.

We will show that h(t)>0 for t[ r 0 ,r], and hence f is convex for

e u [ r 0 ,r]= [ 3 9 , 1 ] .

Indeed, since

4kt= 52 t 3 3 = 52 27 >1,

we have

h(t)= t 4 +6 t 2 1+4kt ( 1 t 2 ) t 4 +6 t 2 1+ ( 1 t 2 ) = t 2 ( 5 t 2 ) >0.

By PCF-Corollary, we only need to prove that g(a)+2g(b)3g(1) for a b 2 =1; that is,

a + k a 2 + 1 + 2 ( b + k ) b 2 + 1 3 ( 1 + k ) 2 , b 2 ( k b 2 + 1 ) b 4 + 1 + 2 ( b + k ) b 2 + 1 3 ( 1 + k ) 2 , 3 b 6 4 b 5 + b 4 + b 2 4 b + 3 k ( 1 b 2 ) 3 0 , ( b 1 ) 2 [ ( 3 + k ) b 4 + 2 ( 1 + k ) b 3 + 2 b 2 + 2 ( 1 k ) b + 3 k ] 0 , ( b 1 ) 2 ( b 2 + 3 ) 2 [ ( 27 + 13 3 ) b 2 + 24 ( 2 + 3 ) b + 33 + 17 3 ] 0 .

The last inequality is clearly true, and the proof is completed. □

Application 4.8 If a, b, c are positive real numbers and 0<k2+2 2 , then [6]

a 3 k a 2 + b c + b 3 k b 2 + c a + c 3 k c 2 + a b a + b + c k + 1 ,

with equality for a=b=c=1. If k=2+2 2 , then the equality holds also for a 2 =b=c (or any cyclic permutation).

Proof For k<2+2 2 , the proof is similar to the one of the main case k=2+2 2 . For this reason, we consider further only the case where

k=2+2 2 .

Due to homogeneity, we may assume that abc=1. On this hypothesis,

a 3 k a 2 + b c 1 k + 1 a= ( a 4 k a 3 + 1 a k + 1 ) = 1 k + 1 a 4 a k a 3 + 1 .

Thus, we can write the inequality as

g(a)+g(b)+g(c)3g(r),

where r=1 and

g(t)= t 4 t k t 3 + 1 ,tI=(0,).

From

g (t)= k t 6 + 2 ( k + 2 ) t 3 1 ( k t 3 + 1 ) 2 ,

it follows that g is decreasing on (0, r 0 ] and increasing on [ r 0 ,), where

r 0 = k 2 + ( k + 1 ) ( k + 4 ) k 3 0.4149.

We have

f ( u ) = g ( e u ) = e 4 u e u k e 3 u + 1 , f ( u ) = t h ( t ) ( k t 3 + 1 ) 3 ,

where

t= e u ,h(t)= k 2 t 9 k(4k+1) t 6 +(13k+16) t 3 1.

We have h(t)0 for t[ t 1 , t 2 ], where t 1 0.2345 and t 2 1.02. Since

[ r 0 ,r][ t 1 , t 2 ],

f is convex for e u [ r 0 ,r]. Then, by PCF-Corollary, it suffices to show that g(a)+2g(b)3g(1) for a b 2 =1. This is true if the original inequality holds for b=c=1. Thus, we need to show that

a 3 k a 2 + 1 + 2 a + k a + 2 k + 1 ,

which is equivalent to the obvious inequality

( a 1 ) 2 ( a 2 ) 2 0.

 □

Application 4.9 If a 1 , a 2 , a 3 , a 4 , a 5 are positive real numbers such that

a 1 a 2 a 3 a 4 a 5 =1,

then [6]

1 a 1 1 + a 1 2 + 1 a 2 1 + a 2 2 + 1 a 3 1 + a 3 2 + 1 a 4 1 + a 4 2 + 1 a 5 1 + a 5 2 0,

with equality for a 1 = a 2 = a 3 = a 4 = a 5 =1.

Proof

Write the inequality as

g( a 1 )+g( a 2 )+g( a 3 )+g( a 4 )+g( a 5 )3g(r),

where r=1 and

g(t)= 1 t 1 + t 2 ,tI=(0,).

From

g (t)= t 2 2 t 1 ( t 2 + 1 ) 2 ,

it follows that g is decreasing on (0, r 0 ] and increasing on [ r 0 ,), where

r 0 =1+ 2 .

We have

f ( u ) = g ( e u ) = 1 e u 1 + e 2 u , f ( u ) = t h ( t ) ( t 2 + 1 ) 3 ,

where

t= e u ,h(t)= t 4 +4 t 3 +6 t 2 4t1.

We will show that h(t)>0 for t[r, r 0 ], and hence f is convex for

e u [r, r 0 ]=[1,1+ 2 ].

Indeed,

h(t) t 4 +6 t 2 1=8 ( 3 t 2 ) 2 4.

By PCF-Corollary, we only need to prove that g(a)+4g(b)5g(1) for a b 4 =1; that is,

1 a 1 + a 2 + 4 ( 1 b ) 1 + b 2 0 , b 4 ( b 4 1 ) 1 + b 8 + 4 ( 1 b ) 1 + b 2 0 , 1 + 4 ( 1 b ) 1 + b 2 1 + b 4 1 + b 8 .

Since

1 + b 4 1 + b 8 2 1 + b 4 4 ( 1 + b 2 ) 2 ,

it suffices to show that

1+ 4 ( 1 b ) 1 + b 2 4 ( 1 + b 2 ) 2 .

This inequality is equivalent to ( 1 b ) 4 0, and the proof is completed. □

Remark 4.1

The inequality

1 a 1 1 + a 1 2 + 1 a 2 1 + a 2 2 + 1 a 3 1 + a 3 2 + 1 a 4 1 + a 4 2 + 1 a 5 1 + a 5 2 + 1 a 6 1 + a 6 2 0

is not true for any positive numbers a 1 , a 2 , a 3 , a 4 , a 5 , a 6 satisfying a 1 a 2 a 3 a 4 a 5 a 6 =1. Indeed, for a 2 = a 3 = a 4 = a 5 = a 6 =2, the inequality becomes

a 1 ( a 1 + 1 ) 1 + a 1 2 0,

which is false for

a 1 = 1 a 2 a 3 a 4 a 5 a 6 = 1 32 .

References

  1. Jensen JLWV: Sur les fonctions convexes et les inegalites entre les valeurs moyennes. Acta Math. 1906, 30(1):175–193. 10.1007/BF02418571

    Article  MathSciNet  Google Scholar 

  2. Mitrinović DS, Pečarić JE, Fink AM: Classical and New Inequalities in Analysis. Kluwer Academic, Dordrecht; 1993.

    Book  Google Scholar 

  3. Cirtoaje V, Baiesu A: An extension of Jensen’s discrete inequality to half convex functions. J. Inequal. Appl. 2011., 2011: Article ID 101

    Google Scholar 

  4. Cirtoaje V: A generalization of Jensen’s inequality. Gaz. Mat., Ser. A 2005, 2: 124–138.

    Google Scholar 

  5. Cirtoaje V: Algebraic Inequalities-Old and New Methods. GIL Publishing House, Zalau; 2006.

    Google Scholar 

  6. Art of Problem Solving. http://www.artofproblemsolving.com/Forum/viewtopic.php?t=45516/115797/220970/242881/246265/453476/465869

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Cirtoaje, V. An extension of Jensen’s discrete inequality to partially convex functions. J Inequal Appl 2013, 54 (2013). https://doi.org/10.1186/1029-242X-2013-54

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