Proof of Convexity for Power Function with Positive Exponent

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The discussion focuses on proving the convexity of the power function \( f(t) = t^p \) for \( 1 \leq p < +\infty \) and \( \alpha, \beta > 0 \). The key inequality to prove is \( (\alpha a + \beta b)^p \leq (\alpha + \beta)^p \left( \frac{\alpha}{\alpha + \beta} a^p + \frac{\beta}{\alpha + \beta} b^p \right) \). It is established that a function is convex if its second derivative is positive, which is the necessary condition for demonstrating the convexity of \( f(t) \) on the interval \([0, +\infty)\).

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it is given that
[tex]1\leq p< +\infty\\[/tex]
[tex]\alpha ,\beta >0 \\[/tex]
[tex]a,b\geq 0\\[/tex]



prove that
[tex](\alpha a+\beta b )^p\leq (\alpha +\beta )^p\left ( \frac{\alpha }{\alpha +\beta }a^p+\frac{\beta }{\alpha +\beta }b^p \right )[/tex]

hint: prove first that [tex]f(t)=t^p[/tex] is a convex
on this region [tex][0,+\infty)[/tex]
reminder: function f(t) is called convex on some region if for every b,a
and on
[tex]0\leq \lambda \leq 1\\[/tex]
we have
[tex]f(\lambda a +(1-\lambda)b)\leq\lambda f(a)+(1-\lambda)f(b)[/tex]

my thoughts:
i know from calc1 that a function is convex if its second derivative is negative or something (i am not sure)

i don't know
how to prove that [tex]f(t)=t^p[/tex] is negative
its pure parametric thing

??
 
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You've got it backwards. f(t) is convex if the second derivative is positive, not negative. So you don't want to show f(t) is negative, you want to show f''(t) is positive.
 

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