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Concavity and convexity
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Rushil
Navier-Stokes Equations
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#1
 Concavity and convexity

Given that \frac {f(x_1) +\ f(x_2)}{2} \geq f( \frac{x_1 + x_2}{2} ) , prove that

\sum _{i=1} ^ n \frac{f(x_{i})}{n} \geq f( \frac {\sum _{i=1} ^n x_i}{n} )

I know that this is a property of concave up functions. But can somebody prove it from the basics. I.e. Can somebody first prove the concavity/convexity and establish the result without using any theorm beyond Lagrange's Mean Value Theorm. I am preparing for IIT - JEE and this question is from there ( for special case of n =\ 3 ). There , one is expected to solve without using any theorm from advanced maths

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Administrators - this question might be from calculus. I'd be happy to shift it there if you want. Can you plz guide me about it


PostPosted: Thu Jul 28, 2005 7:01 am  Back to top 
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enescu
Yang-Mills Theory
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#2
Here's the "special case n=3":

adding up \frac {f(x_1)+f(x_2)}{2}\ge f\left( \frac{x_1+x_2}{2}\right) and \frac {f(x_3)+f(x_4)}{2}\ge f\left( \frac{x_3+x_4}{2}\right) yield

\frac {f(x_1)+f(x_2)+f(x_3)+f(x_4)}{4}\ge \frac {f\left( \frac{x_1+x_2}{2}\right)+f\left( \frac{x_3+x_4}{2}\right)}{2}\ge f\l....
Now, let x_4=\frac {x_1+x_2+x_3}{3}. Plugging this in the previous inequality immediately gives
\frac {f(x_1)+f(x_2)+f(x_3)}{3}\ge f\left(\frac {x_1+x_2+x_3}{3}\right),
as desired. The same trick works in the general case...Try it!
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PostPosted: Thu Jul 28, 2005 12:38 pm  Back to top 
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Rafal
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#3
there is a simple inductive proof of the inequality but I'm not sure if it's so important to mention it here.
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PostPosted: Thu Jul 28, 2005 1:40 pm  Back to top 
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Rushil
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#4
Rafal wrote:
there is a simple inductive proof of the inequality but I'm not sure if it's so important to mention it here.


Pleases do!!!!
ALso can you correlate this property and concavity/convexity of functions via a rigorous proof?!!!

PostPosted: Fri Jul 29, 2005 2:01 am  Back to top 
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Rafal
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#5
just look what enescu did Wink,
1. First prove (what's easy) that for n=2^m it's true.
2. Then prove that if it's true for k+1 then it's true for k (putting x_{k+1}=\frac{x_1+...x_k}{k}).
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PostPosted: Fri Jul 29, 2005 10:23 am  Back to top 
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Rushil
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#6
I understood the part of proving the inequality. But what about the relation of such functions to convexity????? Sad Embarassed

PostPosted: Sat Jul 30, 2005 5:02 am  Back to top 
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Arne
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#7
This is obviously the Jensen inequality for convex/concave functions...

PostPosted: Sat Jul 30, 2005 5:08 am  Back to top 
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Rushil
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#8
exactly.

Basically I am asking for the proof of jensen's Inequality and its converse(if true)

If it's not true , I am also asking for a proof of that

PostPosted: Sat Jul 30, 2005 5:18 am  Back to top 
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lomos_lupin
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#9
Rushil
Exactly ,what do you want? Confused
Rafal had showed a basic proof with induction.
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PostPosted: Sat Aug 06, 2005 5:17 pm  Back to top 
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Rushil
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#10
Basically I am asking for the proof that if f'(x) > 0 , prove that
\frac{ f (x_1) + f(x_2) }{2} \geq f ( \frac{x_1 + x_2}{2} ).

The general case can easily be obtained as you have shown above.. ,once we establish the inequality for n = 2. My question is this!! To relate the inequality for n=2 with concavity without using graphs!! A rigorous proof plz!

PostPosted: Sat Aug 06, 2005 9:24 pm  Back to top 
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blahblahblah
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#11
A function satisfying the above midpoint inequality is not necessarily convex.

As for a proof, one can be found here:

http://www-math.mit.edu/~rbm/18.100-F02.HMW/HMW7s.pdf

(it contains the solution to question 5.14 out of Rudin)

PostPosted: Sat Aug 06, 2005 9:32 pm  Back to top 
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Rushil
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#12
i'm basically asking for a proof of Jensen's inequality!!!

PostPosted: Sat Aug 06, 2005 9:37 pm  Back to top 
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blahblahblah
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#13
Well, I don't have a document with a proof of it, and I'm not going to take the time to write it down. The pdf that I gave you contains the proof that if f is twice differentiable, then it is convex iff f''(x)>0.

Honestly, it's not that hard (induction on the number of \lambda_i's), and in general, you should stop asking people incessantly for hints and whatnot. You write a huge number of posts with no real content, and it shouldn't really continue. Rafal gave you more than enough information to prove the result you're looking for here, and I have written the proof for

\frac {f(x)+f(y)}{2}\geq f\left(\frac {x+y}{2}\right)\implies

\frac {\sum_i f(x_i)}{n}\geq f\left(\frac {\sum_i x_i}{n}\right)

on this forum on at least three different occasions.

PostPosted: Sat Aug 06, 2005 9:44 pm  Back to top 
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Rushil
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#14
I think I get it now. I am sorry if I posted useless posts. I wasn't clear about the definitons previously , and that is why I was confused.

The definiton of convexity IS that \frac{ f(x_1) + f( x_2) }{2} \geq f ( \frac{x_1 + x_2}{2} ) as aspecial case and a general form also!!!Ok now ,everything is foine and all the proofs are ok.

Obviously , the general case is easy once we establish tge above

Again, Thanks!!! Please correct me if I am wrong!!!
Last edited by Rushil on Sat Aug 06, 2005 10:02 pm; edited 1 time in total 
PostPosted: Sat Aug 06, 2005 10:02 pm  Back to top 
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Soarer
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#15
Rushil wrote:
i'm basically asking for a proof of Jensen's inequality!!!


I don't understand what you want. If you want the proof of Jensen's, Rafal has written the outline of solution to you. If you want to know something about convexity, you have to know that \frac{f(x)+f(y)}{2} \ge f(\frac{x+y}{2}) means f is convex only when f is continuous. Same for the second derivative test. Moreover, \frac{f(x)+f(y)}{2} \ge f(\frac{x+y}{2}) is more primitive, because the definition of convexity is that af(x)+(1-a)f(y) \ge f(xa+(1-a)y) with 0<a<1. So I think it's strange to ask one to prove from f''(x) \ge 0 to \frac{f(x)+f(y)}{2} \ge f(\frac{x+y}{2})

PostPosted: Sat Aug 06, 2005 10:02 pm  Back to top 
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pardesi
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#16
Rushil+Edits wrote:
Basically I am asking for the proof that if f''(x) > 0 , prove that
\frac { f (x_1) + f(x_2) }{2} \geq f ( \frac {x_1 + x_2}{2} ).

The general case can easily be obtained as you have shown above.. ,once we establish the inequality for n = 2. My question is this!! To relate the inequality for n = 2 with concavity without using graphs!! A rigorous proof plz!


f''(x) > 0 \rightarrow f' is is increasing.
let x_{1} < x_{2} \rightarrow x_{1} < \frac {x_{1} + x_{2}}{2} < x_{2}
so f(x_{2}) - f(\frac {x_{1} + x_{2}}{2}) = \frac {f'(c_{1}) (x_{2} - x_{1})}{2} for some c_{1} \in (\frac {x_{1} + x_{2}}{2},x_{2}).
also f(\frac {x_{1} + x_{2}}{2}) - f(x_{1}) = \frac {f'(c_{2}) (x_{2} - x_{1})}{2} for some c_{2} \in (x_{1},\frac {x_{1} + x_{2}}{2}).
clearly f'(c_{1}) > f'(c_{2}) hence
considering the case x_{1} = x_{2}
we have
\boxed{\frac { f (x_1) + f(x_2) }{2} \geq f ( \frac {x_1 + x_2}{2} )}
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PostPosted: Sat Sep 29, 2007 5:50 pm  Back to top 
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