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Martin Sleziak
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Let f:{-1,1}^n -> {-1,1}$$f:\{-1,1\}^n \to \{-1,1\}$$ be a monotone  , odd ( f(-x)=-f(x) $f(-x)=-f(x)$) Boolean function.

Let F:[0,1]->[0,1]$$F:[0,1]\to[0,1]$$ denote the probability that f(x1,...,xn)$f(x_1,...,x_n)$ where x1,...xn$x_1,...,x_n$ are i.i.d. +-1$\pm1$ R.V. with probability p$p$ to be 1.

Our question is the following:

Is it true that F$F$ is convex in [0,1/2]$[0,1/2]$ for any such monotone odd f$f$?

(It is easy to see that F$F$ is symmetric around 1/2$1/2$.)

Another way to view this is that dF/dp$dF/dp$ is increasing in [0,1/2]$[0,1/2]$, meaning the bits become more influential as p$p$ is closer to 1/2$1/2$.

So far, in the example we worked out (such as majority) this turned out to be the case, and we could not find any references, nor managed to prove it or find a counterexample. A related fact - when I encountered "graphs" of the probability that certain monotone graph properties are satisfied in G(n,p)$G(n,p)$ as a function of p$p$, they were always "drawn" as convex till the threshold and concave afterwards, but I could not find any explicit references to this phenomena.

Let f:{-1,1}^n -> {-1,1} be a monotone  , odd ( f(-x)=-f(x) ) Boolean function.

Let F:[0,1]->[0,1] denote the probability that f(x1,...,xn) where x1,...xn are i.i.d. +-1 R.V. with probability p to be 1.

Our question is the following:

Is it true that F is convex in [0,1/2] for any such monotone odd f?

(It is easy to see that F is symmetric around 1/2.)

Another way to view this is that dF/dp is increasing in [0,1/2], meaning the bits become more influential as p is closer to 1/2.

So far, in the example we worked out (such as majority) this turned out to be the case, and we could not find any references, nor managed to prove it or find a counterexample. A related fact - when I encountered "graphs" of the probability that certain monotone graph properties are satisfied in G(n,p) as a function of p, they were always "drawn" as convex till the threshold and concave afterwards, but I could not find any explicit references to this phenomena.

Let $$f:\{-1,1\}^n \to \{-1,1\}$$ be a monotone, odd ($f(-x)=-f(x)$) Boolean function.

Let $$F:[0,1]\to[0,1]$$ denote the probability that $f(x_1,...,x_n)$ where $x_1,...,x_n$ are i.i.d. $\pm1$ R.V. with probability $p$ to be 1.

Our question is the following:

Is it true that $F$ is convex in $[0,1/2]$ for any such monotone odd $f$?

(It is easy to see that $F$ is symmetric around $1/2$.)

Another way to view this is that $dF/dp$ is increasing in $[0,1/2]$, meaning the bits become more influential as $p$ is closer to $1/2$.

So far, in the example we worked out (such as majority) this turned out to be the case, and we could not find any references, nor managed to prove it or find a counterexample. A related fact - when I encountered "graphs" of the probability that certain monotone graph properties are satisfied in $G(n,p)$ as a function of $p$, they were always "drawn" as convex till the threshold and concave afterwards, but I could not find any explicit references to this phenomena.

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gidi
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Convexity of the expectation of boolean functions

Let f:{-1,1}^n -> {-1,1} be a monotone , odd ( f(-x)=-f(x) ) Boolean function.

Let F:[0,1]->[0,1] denote the probability that f(x1,...,xn) where x1,...xn are i.i.d. +-1 R.V. with probability p to be 1.

Our question is the following:

Is it true that F is convex in [0,1/2] for any such monotone odd f?

(It is easy to see that F is symmetric around 1/2.)

Another way to view this is that dF/dp is increasing in [0,1/2], meaning the bits become more influential as p is closer to 1/2.

So far, in the example we worked out (such as majority) this turned out to be the case, and we could not find any references, nor managed to prove it or find a counterexample. A related fact - when I encountered "graphs" of the probability that certain monotone graph properties are satisfied in G(n,p) as a function of p, they were always "drawn" as convex till the threshold and concave afterwards, but I could not find any explicit references to this phenomena.