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Title: convex functions Post by trusure on Nov 2nd, 2009, 7:39pm I'm trying to prove the folowing form of Jensen's Inequality for convex functions: " a function f is convex iff f(sum_k=1 to inf {c_k z_k}) <= sum_k=1 to inf {c_k f(z_k)} " where c_k>=0, sum{c_k z_k}< infinity and sum{c_k}=1 ? I proved it if the summation was over finite, but for the infinite form: since convex functions are continuous, so it really is just taking the inequality for finite sums k=1 to n and then taking the limit as n goes to infinity we get the result. Is that correct ? !! thanks |
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Title: Re: convex functions Post by Obob on Nov 2nd, 2009, 9:24pm You can make something like that work, but you have to be a little careful. If an infinite sum sums to 1, the partial sums don't also sum to 1. |
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Title: Re: convex functions Post by trusure on Nov 3rd, 2009, 7:21am So, .. any suggestion?? How I can solve this problem ? |
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Title: Re: convex functions Post by Eigenray on Nov 4th, 2009, 11:11am You can take the limit of the [link=http://en.wikipedia.org/wiki/Jensen%27s_inequality#Finite_form]finite form of Jensen's inequality[/link]. It's also a special case of the measure-theoretic form. |
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