How to prove the real value function $f$ is convex on $[a,d]$ if $f$ is convex on both $[a,c]$ and $[b,d]$? ($a<b<c<d$).
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How to prove the real value function $f$ is convex on $[a,d]$ if $f$ is convex on both $[a,c]$ and $[b,d]$? ($a<b<c<d$).
I try to show that: for arbitrary $xin(a,b), zin(c,d)$, and for all $yin (x,z)$ the inequality
$dfracf(y)-f(x)y-xleqslant dfracf(z)-f(y)z-y$
holds. Then $f$ is convex on $[a,d]$.
But it seems to need some inequality tricks, I can't finish it.
calculus
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up vote
5
down vote
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How to prove the real value function $f$ is convex on $[a,d]$ if $f$ is convex on both $[a,c]$ and $[b,d]$? ($a<b<c<d$).
I try to show that: for arbitrary $xin(a,b), zin(c,d)$, and for all $yin (x,z)$ the inequality
$dfracf(y)-f(x)y-xleqslant dfracf(z)-f(y)z-y$
holds. Then $f$ is convex on $[a,d]$.
But it seems to need some inequality tricks, I can't finish it.
calculus
add a comment |Â
up vote
5
down vote
favorite
up vote
5
down vote
favorite
How to prove the real value function $f$ is convex on $[a,d]$ if $f$ is convex on both $[a,c]$ and $[b,d]$? ($a<b<c<d$).
I try to show that: for arbitrary $xin(a,b), zin(c,d)$, and for all $yin (x,z)$ the inequality
$dfracf(y)-f(x)y-xleqslant dfracf(z)-f(y)z-y$
holds. Then $f$ is convex on $[a,d]$.
But it seems to need some inequality tricks, I can't finish it.
calculus
How to prove the real value function $f$ is convex on $[a,d]$ if $f$ is convex on both $[a,c]$ and $[b,d]$? ($a<b<c<d$).
I try to show that: for arbitrary $xin(a,b), zin(c,d)$, and for all $yin (x,z)$ the inequality
$dfracf(y)-f(x)y-xleqslant dfracf(z)-f(y)z-y$
holds. Then $f$ is convex on $[a,d]$.
But it seems to need some inequality tricks, I can't finish it.
calculus
edited Aug 12 at 8:12
pointguard0
1,271821
1,271821
asked Aug 12 at 7:49
é«åÂÂç¦
501111
501111
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4 Answers
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This is a fact that is geometrically evident but a pain to prove.
Note that the overlap is essential, if $f(x) = -|x|$, then on the intervals
$[-1,0]$ and $[0,1]$ the function
$f$ is linear hence convex, but clearly $f$ is not convex on $[-1,1]$.
Define
$R(x,y) = f(x)-f(y) over x-y$ for $x neq y$. Note that $R$ is symmetric.
Then $f$ is convex iff $x mapsto R(x,y)$ is monotonically non decreasing for each $y$. (cf. the derivative characterisation of convexity.)
We need to show that for all $t in [0,1]$ that $f((t-1)x+ty) le (t-1)f(x)+t f(y)$.
Suppose $x<y$. If $y in [a,c]$ or $x in [b,d]$ there is nothing to show, so
suppose $x in [a,b), yin (c,d]$.
Choose $m,m'$ such that $b<m'<m<c$. Then
$R(m,x) le R(m,m') le R(y,m') le R(y,m)$. This is where the overlap is used.
Note that
begineqnarray
R(y,x) &=& 1 over y-x [R(m,x)(m-x) + R(y,m)(y-m)] \
&ge& 1 over y-x [R(m,x)(m-x) + R(m,x)(y-m)] \
&ge& R(m,x)
endeqnarray
A similar analysis shows that $R(y,x) le R(y,m)$.
Let $t^* = m-x over y-x$. First suppose $t le t^*$ and let $lambda=t over t^*$.
Note that $x+lambda(m-x) = x+t (y-x)$.
Then
begineqnarray
f(x+t(y-x)) &=& f(x+ lambda(m-x)) \
&le& f(x)+ lambda (f(m)-f(x)) \
&=& f(x)+ t ( y-x over m-x ) ( f(m)-f(x)) \
&=& f(x) + t (y-x) R(m,x) \
&le& f(x) + t (y-x) R(y,x) \
&=& f(x) + t (f(y)-f(x))
endeqnarray
Now suppose $t ge t^*$ and let $mu = t-t^* over 1-t^*$. Note that
$y+(1-mu) (m-y) = x+t(y-x)$. Then
begineqnarray
f(x+t(y-x)) &=& fy+(1-mu) (m-y)) \
&le& f(y)+ (1-mu)(f(m)-f(y)) \
&=& f(y)+ (1-t)( y-x over y-m ) (f(m)-f(y)) \
&=& f(y) + (1-t)(y-x) (-R(y,m)) \
&le& f(y) + (1-t)(y-x) (-R(y,x)) \
&=& f(y) + (1-t) (f(x)-f(y)) \
&=& f(x) + t (f(y)-f(x))
endeqnarray
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Using the definition $f(alpha x + (1- alpha) y) le alpha f(x) + (1 - alpha) f(y)$ might be not the simplest approach. Recall, the SOC for convexity, that is, if $f''(x) > 0$ for $x in I$ then inside this interval $I$ function $f(cdot)$ is convex.
Hence, $f''(x) > 0, ~forall x in [a, c]$ and $f''(x) > 0, ~forall x in [b, d] implies f''(x) > 0, ~forall x in [a, d],$ as required.
2
I like this approach, but tried to avoid it in my answer deliberately, as we do not know if the function is differentiable (let alone twice differentiable).
â A. Pongrácz
Aug 12 at 8:19
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The points $B= (b,f(b))$ and $C= (c, f(c))$ are the crucial reference points on the graph of $f$.
Let $ell$ be the line connecting $B$ and $C$. Then the two convexity conditions imply that the graph of $f$ restricted to $[a,b]$ is above $ell$, and the graph of $f$ restricted to $[c,d]$ is above $ell$.
But then for any numbers $xin [a,b], yin [c,d]$, the points $X=(x, f(x))$ and $Y=(y, f(y))$ are also above $ell$. Let $P$ be any point on the line segment $XY$. Then the first coordinate of $P$ is in $[a,c]$ or in $[b,d]$: assume that it is in $[a,c]$, the other case is similar.
Then $P$ is above $ell$, as it is above $XC$.
emm..... I can understand your proof, but still cannot write it "strictly". For example, I cannot give a strict proof of why "$P$ is above $XC$".
â é«åÂÂç¦
Aug 12 at 10:44
Draw a picture, it is apparent. I cannot draw a nice one.
â A. Pongrácz
Aug 12 at 10:47
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Here I am writing $overlineRS$ to refer to the line segment that passes through $(R, f(R))$ and $(S, f(S))$. And writing $overlineRS(x)$ to refer to the height of the line at $x$ . Saying $overlineRS ge overlineUV$ means $overlineRS(x) ge overlineUV(x)$ within the relevant domain.
We have to esablish $overlineMN$ lies above $f$ for all $M$ and $N$. The cases not covered directly by the convexity assumptions are $M in [A..B)$ and $N in (C .. D]$.
For the sake of contradiction, assume $overlineMN < overlineBN$ (except at point $N$). $M<B$ then implies $f(M) < f(B)$.
Since $C > B$, by convexity assumption within $[B .. D]$, $f(C) le overlineBN(C)$.
But this places $f(B) ge overlineMC(B)$, contradicting convexity within $[A .. C]$. So $overlineMN ge overlineBN$.
By the same argument $overlineMN ge overlineMC$. So $overlineMN(x) ge f(x)$.
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4 Answers
4
active
oldest
votes
4 Answers
4
active
oldest
votes
active
oldest
votes
active
oldest
votes
up vote
0
down vote
accepted
This is a fact that is geometrically evident but a pain to prove.
Note that the overlap is essential, if $f(x) = -|x|$, then on the intervals
$[-1,0]$ and $[0,1]$ the function
$f$ is linear hence convex, but clearly $f$ is not convex on $[-1,1]$.
Define
$R(x,y) = f(x)-f(y) over x-y$ for $x neq y$. Note that $R$ is symmetric.
Then $f$ is convex iff $x mapsto R(x,y)$ is monotonically non decreasing for each $y$. (cf. the derivative characterisation of convexity.)
We need to show that for all $t in [0,1]$ that $f((t-1)x+ty) le (t-1)f(x)+t f(y)$.
Suppose $x<y$. If $y in [a,c]$ or $x in [b,d]$ there is nothing to show, so
suppose $x in [a,b), yin (c,d]$.
Choose $m,m'$ such that $b<m'<m<c$. Then
$R(m,x) le R(m,m') le R(y,m') le R(y,m)$. This is where the overlap is used.
Note that
begineqnarray
R(y,x) &=& 1 over y-x [R(m,x)(m-x) + R(y,m)(y-m)] \
&ge& 1 over y-x [R(m,x)(m-x) + R(m,x)(y-m)] \
&ge& R(m,x)
endeqnarray
A similar analysis shows that $R(y,x) le R(y,m)$.
Let $t^* = m-x over y-x$. First suppose $t le t^*$ and let $lambda=t over t^*$.
Note that $x+lambda(m-x) = x+t (y-x)$.
Then
begineqnarray
f(x+t(y-x)) &=& f(x+ lambda(m-x)) \
&le& f(x)+ lambda (f(m)-f(x)) \
&=& f(x)+ t ( y-x over m-x ) ( f(m)-f(x)) \
&=& f(x) + t (y-x) R(m,x) \
&le& f(x) + t (y-x) R(y,x) \
&=& f(x) + t (f(y)-f(x))
endeqnarray
Now suppose $t ge t^*$ and let $mu = t-t^* over 1-t^*$. Note that
$y+(1-mu) (m-y) = x+t(y-x)$. Then
begineqnarray
f(x+t(y-x)) &=& fy+(1-mu) (m-y)) \
&le& f(y)+ (1-mu)(f(m)-f(y)) \
&=& f(y)+ (1-t)( y-x over y-m ) (f(m)-f(y)) \
&=& f(y) + (1-t)(y-x) (-R(y,m)) \
&le& f(y) + (1-t)(y-x) (-R(y,x)) \
&=& f(y) + (1-t) (f(x)-f(y)) \
&=& f(x) + t (f(y)-f(x))
endeqnarray
add a comment |Â
up vote
0
down vote
accepted
This is a fact that is geometrically evident but a pain to prove.
Note that the overlap is essential, if $f(x) = -|x|$, then on the intervals
$[-1,0]$ and $[0,1]$ the function
$f$ is linear hence convex, but clearly $f$ is not convex on $[-1,1]$.
Define
$R(x,y) = f(x)-f(y) over x-y$ for $x neq y$. Note that $R$ is symmetric.
Then $f$ is convex iff $x mapsto R(x,y)$ is monotonically non decreasing for each $y$. (cf. the derivative characterisation of convexity.)
We need to show that for all $t in [0,1]$ that $f((t-1)x+ty) le (t-1)f(x)+t f(y)$.
Suppose $x<y$. If $y in [a,c]$ or $x in [b,d]$ there is nothing to show, so
suppose $x in [a,b), yin (c,d]$.
Choose $m,m'$ such that $b<m'<m<c$. Then
$R(m,x) le R(m,m') le R(y,m') le R(y,m)$. This is where the overlap is used.
Note that
begineqnarray
R(y,x) &=& 1 over y-x [R(m,x)(m-x) + R(y,m)(y-m)] \
&ge& 1 over y-x [R(m,x)(m-x) + R(m,x)(y-m)] \
&ge& R(m,x)
endeqnarray
A similar analysis shows that $R(y,x) le R(y,m)$.
Let $t^* = m-x over y-x$. First suppose $t le t^*$ and let $lambda=t over t^*$.
Note that $x+lambda(m-x) = x+t (y-x)$.
Then
begineqnarray
f(x+t(y-x)) &=& f(x+ lambda(m-x)) \
&le& f(x)+ lambda (f(m)-f(x)) \
&=& f(x)+ t ( y-x over m-x ) ( f(m)-f(x)) \
&=& f(x) + t (y-x) R(m,x) \
&le& f(x) + t (y-x) R(y,x) \
&=& f(x) + t (f(y)-f(x))
endeqnarray
Now suppose $t ge t^*$ and let $mu = t-t^* over 1-t^*$. Note that
$y+(1-mu) (m-y) = x+t(y-x)$. Then
begineqnarray
f(x+t(y-x)) &=& fy+(1-mu) (m-y)) \
&le& f(y)+ (1-mu)(f(m)-f(y)) \
&=& f(y)+ (1-t)( y-x over y-m ) (f(m)-f(y)) \
&=& f(y) + (1-t)(y-x) (-R(y,m)) \
&le& f(y) + (1-t)(y-x) (-R(y,x)) \
&=& f(y) + (1-t) (f(x)-f(y)) \
&=& f(x) + t (f(y)-f(x))
endeqnarray
add a comment |Â
up vote
0
down vote
accepted
up vote
0
down vote
accepted
This is a fact that is geometrically evident but a pain to prove.
Note that the overlap is essential, if $f(x) = -|x|$, then on the intervals
$[-1,0]$ and $[0,1]$ the function
$f$ is linear hence convex, but clearly $f$ is not convex on $[-1,1]$.
Define
$R(x,y) = f(x)-f(y) over x-y$ for $x neq y$. Note that $R$ is symmetric.
Then $f$ is convex iff $x mapsto R(x,y)$ is monotonically non decreasing for each $y$. (cf. the derivative characterisation of convexity.)
We need to show that for all $t in [0,1]$ that $f((t-1)x+ty) le (t-1)f(x)+t f(y)$.
Suppose $x<y$. If $y in [a,c]$ or $x in [b,d]$ there is nothing to show, so
suppose $x in [a,b), yin (c,d]$.
Choose $m,m'$ such that $b<m'<m<c$. Then
$R(m,x) le R(m,m') le R(y,m') le R(y,m)$. This is where the overlap is used.
Note that
begineqnarray
R(y,x) &=& 1 over y-x [R(m,x)(m-x) + R(y,m)(y-m)] \
&ge& 1 over y-x [R(m,x)(m-x) + R(m,x)(y-m)] \
&ge& R(m,x)
endeqnarray
A similar analysis shows that $R(y,x) le R(y,m)$.
Let $t^* = m-x over y-x$. First suppose $t le t^*$ and let $lambda=t over t^*$.
Note that $x+lambda(m-x) = x+t (y-x)$.
Then
begineqnarray
f(x+t(y-x)) &=& f(x+ lambda(m-x)) \
&le& f(x)+ lambda (f(m)-f(x)) \
&=& f(x)+ t ( y-x over m-x ) ( f(m)-f(x)) \
&=& f(x) + t (y-x) R(m,x) \
&le& f(x) + t (y-x) R(y,x) \
&=& f(x) + t (f(y)-f(x))
endeqnarray
Now suppose $t ge t^*$ and let $mu = t-t^* over 1-t^*$. Note that
$y+(1-mu) (m-y) = x+t(y-x)$. Then
begineqnarray
f(x+t(y-x)) &=& fy+(1-mu) (m-y)) \
&le& f(y)+ (1-mu)(f(m)-f(y)) \
&=& f(y)+ (1-t)( y-x over y-m ) (f(m)-f(y)) \
&=& f(y) + (1-t)(y-x) (-R(y,m)) \
&le& f(y) + (1-t)(y-x) (-R(y,x)) \
&=& f(y) + (1-t) (f(x)-f(y)) \
&=& f(x) + t (f(y)-f(x))
endeqnarray
This is a fact that is geometrically evident but a pain to prove.
Note that the overlap is essential, if $f(x) = -|x|$, then on the intervals
$[-1,0]$ and $[0,1]$ the function
$f$ is linear hence convex, but clearly $f$ is not convex on $[-1,1]$.
Define
$R(x,y) = f(x)-f(y) over x-y$ for $x neq y$. Note that $R$ is symmetric.
Then $f$ is convex iff $x mapsto R(x,y)$ is monotonically non decreasing for each $y$. (cf. the derivative characterisation of convexity.)
We need to show that for all $t in [0,1]$ that $f((t-1)x+ty) le (t-1)f(x)+t f(y)$.
Suppose $x<y$. If $y in [a,c]$ or $x in [b,d]$ there is nothing to show, so
suppose $x in [a,b), yin (c,d]$.
Choose $m,m'$ such that $b<m'<m<c$. Then
$R(m,x) le R(m,m') le R(y,m') le R(y,m)$. This is where the overlap is used.
Note that
begineqnarray
R(y,x) &=& 1 over y-x [R(m,x)(m-x) + R(y,m)(y-m)] \
&ge& 1 over y-x [R(m,x)(m-x) + R(m,x)(y-m)] \
&ge& R(m,x)
endeqnarray
A similar analysis shows that $R(y,x) le R(y,m)$.
Let $t^* = m-x over y-x$. First suppose $t le t^*$ and let $lambda=t over t^*$.
Note that $x+lambda(m-x) = x+t (y-x)$.
Then
begineqnarray
f(x+t(y-x)) &=& f(x+ lambda(m-x)) \
&le& f(x)+ lambda (f(m)-f(x)) \
&=& f(x)+ t ( y-x over m-x ) ( f(m)-f(x)) \
&=& f(x) + t (y-x) R(m,x) \
&le& f(x) + t (y-x) R(y,x) \
&=& f(x) + t (f(y)-f(x))
endeqnarray
Now suppose $t ge t^*$ and let $mu = t-t^* over 1-t^*$. Note that
$y+(1-mu) (m-y) = x+t(y-x)$. Then
begineqnarray
f(x+t(y-x)) &=& fy+(1-mu) (m-y)) \
&le& f(y)+ (1-mu)(f(m)-f(y)) \
&=& f(y)+ (1-t)( y-x over y-m ) (f(m)-f(y)) \
&=& f(y) + (1-t)(y-x) (-R(y,m)) \
&le& f(y) + (1-t)(y-x) (-R(y,x)) \
&=& f(y) + (1-t) (f(x)-f(y)) \
&=& f(x) + t (f(y)-f(x))
endeqnarray
edited Aug 13 at 23:29
answered Aug 13 at 5:30
copper.hat
123k557156
123k557156
add a comment |Â
add a comment |Â
up vote
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down vote
Using the definition $f(alpha x + (1- alpha) y) le alpha f(x) + (1 - alpha) f(y)$ might be not the simplest approach. Recall, the SOC for convexity, that is, if $f''(x) > 0$ for $x in I$ then inside this interval $I$ function $f(cdot)$ is convex.
Hence, $f''(x) > 0, ~forall x in [a, c]$ and $f''(x) > 0, ~forall x in [b, d] implies f''(x) > 0, ~forall x in [a, d],$ as required.
2
I like this approach, but tried to avoid it in my answer deliberately, as we do not know if the function is differentiable (let alone twice differentiable).
â A. Pongrácz
Aug 12 at 8:19
add a comment |Â
up vote
0
down vote
Using the definition $f(alpha x + (1- alpha) y) le alpha f(x) + (1 - alpha) f(y)$ might be not the simplest approach. Recall, the SOC for convexity, that is, if $f''(x) > 0$ for $x in I$ then inside this interval $I$ function $f(cdot)$ is convex.
Hence, $f''(x) > 0, ~forall x in [a, c]$ and $f''(x) > 0, ~forall x in [b, d] implies f''(x) > 0, ~forall x in [a, d],$ as required.
2
I like this approach, but tried to avoid it in my answer deliberately, as we do not know if the function is differentiable (let alone twice differentiable).
â A. Pongrácz
Aug 12 at 8:19
add a comment |Â
up vote
0
down vote
up vote
0
down vote
Using the definition $f(alpha x + (1- alpha) y) le alpha f(x) + (1 - alpha) f(y)$ might be not the simplest approach. Recall, the SOC for convexity, that is, if $f''(x) > 0$ for $x in I$ then inside this interval $I$ function $f(cdot)$ is convex.
Hence, $f''(x) > 0, ~forall x in [a, c]$ and $f''(x) > 0, ~forall x in [b, d] implies f''(x) > 0, ~forall x in [a, d],$ as required.
Using the definition $f(alpha x + (1- alpha) y) le alpha f(x) + (1 - alpha) f(y)$ might be not the simplest approach. Recall, the SOC for convexity, that is, if $f''(x) > 0$ for $x in I$ then inside this interval $I$ function $f(cdot)$ is convex.
Hence, $f''(x) > 0, ~forall x in [a, c]$ and $f''(x) > 0, ~forall x in [b, d] implies f''(x) > 0, ~forall x in [a, d],$ as required.
answered Aug 12 at 8:16
pointguard0
1,271821
1,271821
2
I like this approach, but tried to avoid it in my answer deliberately, as we do not know if the function is differentiable (let alone twice differentiable).
â A. Pongrácz
Aug 12 at 8:19
add a comment |Â
2
I like this approach, but tried to avoid it in my answer deliberately, as we do not know if the function is differentiable (let alone twice differentiable).
â A. Pongrácz
Aug 12 at 8:19
2
2
I like this approach, but tried to avoid it in my answer deliberately, as we do not know if the function is differentiable (let alone twice differentiable).
â A. Pongrácz
Aug 12 at 8:19
I like this approach, but tried to avoid it in my answer deliberately, as we do not know if the function is differentiable (let alone twice differentiable).
â A. Pongrácz
Aug 12 at 8:19
add a comment |Â
up vote
0
down vote
The points $B= (b,f(b))$ and $C= (c, f(c))$ are the crucial reference points on the graph of $f$.
Let $ell$ be the line connecting $B$ and $C$. Then the two convexity conditions imply that the graph of $f$ restricted to $[a,b]$ is above $ell$, and the graph of $f$ restricted to $[c,d]$ is above $ell$.
But then for any numbers $xin [a,b], yin [c,d]$, the points $X=(x, f(x))$ and $Y=(y, f(y))$ are also above $ell$. Let $P$ be any point on the line segment $XY$. Then the first coordinate of $P$ is in $[a,c]$ or in $[b,d]$: assume that it is in $[a,c]$, the other case is similar.
Then $P$ is above $ell$, as it is above $XC$.
emm..... I can understand your proof, but still cannot write it "strictly". For example, I cannot give a strict proof of why "$P$ is above $XC$".
â é«åÂÂç¦
Aug 12 at 10:44
Draw a picture, it is apparent. I cannot draw a nice one.
â A. Pongrácz
Aug 12 at 10:47
add a comment |Â
up vote
0
down vote
The points $B= (b,f(b))$ and $C= (c, f(c))$ are the crucial reference points on the graph of $f$.
Let $ell$ be the line connecting $B$ and $C$. Then the two convexity conditions imply that the graph of $f$ restricted to $[a,b]$ is above $ell$, and the graph of $f$ restricted to $[c,d]$ is above $ell$.
But then for any numbers $xin [a,b], yin [c,d]$, the points $X=(x, f(x))$ and $Y=(y, f(y))$ are also above $ell$. Let $P$ be any point on the line segment $XY$. Then the first coordinate of $P$ is in $[a,c]$ or in $[b,d]$: assume that it is in $[a,c]$, the other case is similar.
Then $P$ is above $ell$, as it is above $XC$.
emm..... I can understand your proof, but still cannot write it "strictly". For example, I cannot give a strict proof of why "$P$ is above $XC$".
â é«åÂÂç¦
Aug 12 at 10:44
Draw a picture, it is apparent. I cannot draw a nice one.
â A. Pongrácz
Aug 12 at 10:47
add a comment |Â
up vote
0
down vote
up vote
0
down vote
The points $B= (b,f(b))$ and $C= (c, f(c))$ are the crucial reference points on the graph of $f$.
Let $ell$ be the line connecting $B$ and $C$. Then the two convexity conditions imply that the graph of $f$ restricted to $[a,b]$ is above $ell$, and the graph of $f$ restricted to $[c,d]$ is above $ell$.
But then for any numbers $xin [a,b], yin [c,d]$, the points $X=(x, f(x))$ and $Y=(y, f(y))$ are also above $ell$. Let $P$ be any point on the line segment $XY$. Then the first coordinate of $P$ is in $[a,c]$ or in $[b,d]$: assume that it is in $[a,c]$, the other case is similar.
Then $P$ is above $ell$, as it is above $XC$.
The points $B= (b,f(b))$ and $C= (c, f(c))$ are the crucial reference points on the graph of $f$.
Let $ell$ be the line connecting $B$ and $C$. Then the two convexity conditions imply that the graph of $f$ restricted to $[a,b]$ is above $ell$, and the graph of $f$ restricted to $[c,d]$ is above $ell$.
But then for any numbers $xin [a,b], yin [c,d]$, the points $X=(x, f(x))$ and $Y=(y, f(y))$ are also above $ell$. Let $P$ be any point on the line segment $XY$. Then the first coordinate of $P$ is in $[a,c]$ or in $[b,d]$: assume that it is in $[a,c]$, the other case is similar.
Then $P$ is above $ell$, as it is above $XC$.
answered Aug 12 at 8:18
A. Pongrácz
3,677624
3,677624
emm..... I can understand your proof, but still cannot write it "strictly". For example, I cannot give a strict proof of why "$P$ is above $XC$".
â é«åÂÂç¦
Aug 12 at 10:44
Draw a picture, it is apparent. I cannot draw a nice one.
â A. Pongrácz
Aug 12 at 10:47
add a comment |Â
emm..... I can understand your proof, but still cannot write it "strictly". For example, I cannot give a strict proof of why "$P$ is above $XC$".
â é«åÂÂç¦
Aug 12 at 10:44
Draw a picture, it is apparent. I cannot draw a nice one.
â A. Pongrácz
Aug 12 at 10:47
emm..... I can understand your proof, but still cannot write it "strictly". For example, I cannot give a strict proof of why "$P$ is above $XC$".
â é«åÂÂç¦
Aug 12 at 10:44
emm..... I can understand your proof, but still cannot write it "strictly". For example, I cannot give a strict proof of why "$P$ is above $XC$".
â é«åÂÂç¦
Aug 12 at 10:44
Draw a picture, it is apparent. I cannot draw a nice one.
â A. Pongrácz
Aug 12 at 10:47
Draw a picture, it is apparent. I cannot draw a nice one.
â A. Pongrácz
Aug 12 at 10:47
add a comment |Â
up vote
0
down vote
Here I am writing $overlineRS$ to refer to the line segment that passes through $(R, f(R))$ and $(S, f(S))$. And writing $overlineRS(x)$ to refer to the height of the line at $x$ . Saying $overlineRS ge overlineUV$ means $overlineRS(x) ge overlineUV(x)$ within the relevant domain.
We have to esablish $overlineMN$ lies above $f$ for all $M$ and $N$. The cases not covered directly by the convexity assumptions are $M in [A..B)$ and $N in (C .. D]$.
For the sake of contradiction, assume $overlineMN < overlineBN$ (except at point $N$). $M<B$ then implies $f(M) < f(B)$.
Since $C > B$, by convexity assumption within $[B .. D]$, $f(C) le overlineBN(C)$.
But this places $f(B) ge overlineMC(B)$, contradicting convexity within $[A .. C]$. So $overlineMN ge overlineBN$.
By the same argument $overlineMN ge overlineMC$. So $overlineMN(x) ge f(x)$.
add a comment |Â
up vote
0
down vote
Here I am writing $overlineRS$ to refer to the line segment that passes through $(R, f(R))$ and $(S, f(S))$. And writing $overlineRS(x)$ to refer to the height of the line at $x$ . Saying $overlineRS ge overlineUV$ means $overlineRS(x) ge overlineUV(x)$ within the relevant domain.
We have to esablish $overlineMN$ lies above $f$ for all $M$ and $N$. The cases not covered directly by the convexity assumptions are $M in [A..B)$ and $N in (C .. D]$.
For the sake of contradiction, assume $overlineMN < overlineBN$ (except at point $N$). $M<B$ then implies $f(M) < f(B)$.
Since $C > B$, by convexity assumption within $[B .. D]$, $f(C) le overlineBN(C)$.
But this places $f(B) ge overlineMC(B)$, contradicting convexity within $[A .. C]$. So $overlineMN ge overlineBN$.
By the same argument $overlineMN ge overlineMC$. So $overlineMN(x) ge f(x)$.
add a comment |Â
up vote
0
down vote
up vote
0
down vote
Here I am writing $overlineRS$ to refer to the line segment that passes through $(R, f(R))$ and $(S, f(S))$. And writing $overlineRS(x)$ to refer to the height of the line at $x$ . Saying $overlineRS ge overlineUV$ means $overlineRS(x) ge overlineUV(x)$ within the relevant domain.
We have to esablish $overlineMN$ lies above $f$ for all $M$ and $N$. The cases not covered directly by the convexity assumptions are $M in [A..B)$ and $N in (C .. D]$.
For the sake of contradiction, assume $overlineMN < overlineBN$ (except at point $N$). $M<B$ then implies $f(M) < f(B)$.
Since $C > B$, by convexity assumption within $[B .. D]$, $f(C) le overlineBN(C)$.
But this places $f(B) ge overlineMC(B)$, contradicting convexity within $[A .. C]$. So $overlineMN ge overlineBN$.
By the same argument $overlineMN ge overlineMC$. So $overlineMN(x) ge f(x)$.
Here I am writing $overlineRS$ to refer to the line segment that passes through $(R, f(R))$ and $(S, f(S))$. And writing $overlineRS(x)$ to refer to the height of the line at $x$ . Saying $overlineRS ge overlineUV$ means $overlineRS(x) ge overlineUV(x)$ within the relevant domain.
We have to esablish $overlineMN$ lies above $f$ for all $M$ and $N$. The cases not covered directly by the convexity assumptions are $M in [A..B)$ and $N in (C .. D]$.
For the sake of contradiction, assume $overlineMN < overlineBN$ (except at point $N$). $M<B$ then implies $f(M) < f(B)$.
Since $C > B$, by convexity assumption within $[B .. D]$, $f(C) le overlineBN(C)$.
But this places $f(B) ge overlineMC(B)$, contradicting convexity within $[A .. C]$. So $overlineMN ge overlineBN$.
By the same argument $overlineMN ge overlineMC$. So $overlineMN(x) ge f(x)$.
answered Aug 13 at 14:05
DanielV
17.4k42651
17.4k42651
add a comment |Â
add a comment |Â
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