Convexity of $x^{2q}$ implies $mathbb{E} big[ left(X-X^{'}right)^{2q} big]leq 2^{2q-1} left( mathbb{E}X^{2q}+...











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This problem is from page 25 of concentration inequalities a nonasymptotic theory of independence



$X$ is a random variable
and $X^{'}$ is independent copy of $X$



q is integer and $qgeq1$



It is said that the following inequality was implied by the convexity of $x^{2q}$



$$mathbb{E} big[ left(X-X^{'}right)^{2q} big]leq 2^{2q-1} left( mathbb{E}X^{2q}+ mathbb{E}X^{'2q} right) $$



However, I do not know how to deduce it. The first guess is using Minkowski inequality to get terms of $mathbb{E}X^{2q}$ and $mathbb{E}X^{'2q}$. The Jensen ineqaulity will give inequality of reverse direction, I am wondering how convexity is applied. Any suggestion is welcomed.










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  • 2




    math.stackexchange.com/questions/1102727/…
    – d.k.o.
    Nov 16 at 23:38










  • Thx. I am wondering how $$(a+b)^rleqslant a^r+b^rmbox{ if }0lt rleqslant 1 $$ is deduced from concavity of $ x^r$. I can see it throguh Bernoulli inequality but it's fine to find a unified way to do it through Jensen's inequality.
    – Rikeijin
    Nov 17 at 10:17












  • math.stackexchange.com/questions/318649/…
    – d.k.o.
    Nov 17 at 16:44















up vote
0
down vote

favorite
1












This problem is from page 25 of concentration inequalities a nonasymptotic theory of independence



$X$ is a random variable
and $X^{'}$ is independent copy of $X$



q is integer and $qgeq1$



It is said that the following inequality was implied by the convexity of $x^{2q}$



$$mathbb{E} big[ left(X-X^{'}right)^{2q} big]leq 2^{2q-1} left( mathbb{E}X^{2q}+ mathbb{E}X^{'2q} right) $$



However, I do not know how to deduce it. The first guess is using Minkowski inequality to get terms of $mathbb{E}X^{2q}$ and $mathbb{E}X^{'2q}$. The Jensen ineqaulity will give inequality of reverse direction, I am wondering how convexity is applied. Any suggestion is welcomed.










share|cite|improve this question


















  • 2




    math.stackexchange.com/questions/1102727/…
    – d.k.o.
    Nov 16 at 23:38










  • Thx. I am wondering how $$(a+b)^rleqslant a^r+b^rmbox{ if }0lt rleqslant 1 $$ is deduced from concavity of $ x^r$. I can see it throguh Bernoulli inequality but it's fine to find a unified way to do it through Jensen's inequality.
    – Rikeijin
    Nov 17 at 10:17












  • math.stackexchange.com/questions/318649/…
    – d.k.o.
    Nov 17 at 16:44













up vote
0
down vote

favorite
1









up vote
0
down vote

favorite
1






1





This problem is from page 25 of concentration inequalities a nonasymptotic theory of independence



$X$ is a random variable
and $X^{'}$ is independent copy of $X$



q is integer and $qgeq1$



It is said that the following inequality was implied by the convexity of $x^{2q}$



$$mathbb{E} big[ left(X-X^{'}right)^{2q} big]leq 2^{2q-1} left( mathbb{E}X^{2q}+ mathbb{E}X^{'2q} right) $$



However, I do not know how to deduce it. The first guess is using Minkowski inequality to get terms of $mathbb{E}X^{2q}$ and $mathbb{E}X^{'2q}$. The Jensen ineqaulity will give inequality of reverse direction, I am wondering how convexity is applied. Any suggestion is welcomed.










share|cite|improve this question













This problem is from page 25 of concentration inequalities a nonasymptotic theory of independence



$X$ is a random variable
and $X^{'}$ is independent copy of $X$



q is integer and $qgeq1$



It is said that the following inequality was implied by the convexity of $x^{2q}$



$$mathbb{E} big[ left(X-X^{'}right)^{2q} big]leq 2^{2q-1} left( mathbb{E}X^{2q}+ mathbb{E}X^{'2q} right) $$



However, I do not know how to deduce it. The first guess is using Minkowski inequality to get terms of $mathbb{E}X^{2q}$ and $mathbb{E}X^{'2q}$. The Jensen ineqaulity will give inequality of reverse direction, I am wondering how convexity is applied. Any suggestion is welcomed.







probability inequality convexity-inequality






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asked Nov 16 at 23:33









Rikeijin

878




878








  • 2




    math.stackexchange.com/questions/1102727/…
    – d.k.o.
    Nov 16 at 23:38










  • Thx. I am wondering how $$(a+b)^rleqslant a^r+b^rmbox{ if }0lt rleqslant 1 $$ is deduced from concavity of $ x^r$. I can see it throguh Bernoulli inequality but it's fine to find a unified way to do it through Jensen's inequality.
    – Rikeijin
    Nov 17 at 10:17












  • math.stackexchange.com/questions/318649/…
    – d.k.o.
    Nov 17 at 16:44














  • 2




    math.stackexchange.com/questions/1102727/…
    – d.k.o.
    Nov 16 at 23:38










  • Thx. I am wondering how $$(a+b)^rleqslant a^r+b^rmbox{ if }0lt rleqslant 1 $$ is deduced from concavity of $ x^r$. I can see it throguh Bernoulli inequality but it's fine to find a unified way to do it through Jensen's inequality.
    – Rikeijin
    Nov 17 at 10:17












  • math.stackexchange.com/questions/318649/…
    – d.k.o.
    Nov 17 at 16:44








2




2




math.stackexchange.com/questions/1102727/…
– d.k.o.
Nov 16 at 23:38




math.stackexchange.com/questions/1102727/…
– d.k.o.
Nov 16 at 23:38












Thx. I am wondering how $$(a+b)^rleqslant a^r+b^rmbox{ if }0lt rleqslant 1 $$ is deduced from concavity of $ x^r$. I can see it throguh Bernoulli inequality but it's fine to find a unified way to do it through Jensen's inequality.
– Rikeijin
Nov 17 at 10:17






Thx. I am wondering how $$(a+b)^rleqslant a^r+b^rmbox{ if }0lt rleqslant 1 $$ is deduced from concavity of $ x^r$. I can see it throguh Bernoulli inequality but it's fine to find a unified way to do it through Jensen's inequality.
– Rikeijin
Nov 17 at 10:17














math.stackexchange.com/questions/318649/…
– d.k.o.
Nov 17 at 16:44




math.stackexchange.com/questions/318649/…
– d.k.o.
Nov 17 at 16:44















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