An interesting integral inequality

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Anyone has an idea to solve the following problem?



Let $fin C^2left(left[-1,1right]right)$ such that $f''left(xright)geq0$
for any $xinleft[-1,1right]$ and $fleft(-1right)=fleft(1right)=0.$
Prove that
$$
max_left[-1,1right]left|fright|leq10left(intop_-1^1(f''left(xright))^2dxright)^frac12.
$$










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  • What does $fin C^2([-1,1])$ mean?
    – AnotherJohnDoe
    2 hours ago






  • 2




    It means: $f$ is continuously differentiable up to second order on a neighborhood of [-1,1].
    – Hahn
    2 hours ago















up vote
5
down vote

favorite
2












Anyone has an idea to solve the following problem?



Let $fin C^2left(left[-1,1right]right)$ such that $f''left(xright)geq0$
for any $xinleft[-1,1right]$ and $fleft(-1right)=fleft(1right)=0.$
Prove that
$$
max_left[-1,1right]left|fright|leq10left(intop_-1^1(f''left(xright))^2dxright)^frac12.
$$










share|cite|improve this question





















  • What does $fin C^2([-1,1])$ mean?
    – AnotherJohnDoe
    2 hours ago






  • 2




    It means: $f$ is continuously differentiable up to second order on a neighborhood of [-1,1].
    – Hahn
    2 hours ago













up vote
5
down vote

favorite
2









up vote
5
down vote

favorite
2






2





Anyone has an idea to solve the following problem?



Let $fin C^2left(left[-1,1right]right)$ such that $f''left(xright)geq0$
for any $xinleft[-1,1right]$ and $fleft(-1right)=fleft(1right)=0.$
Prove that
$$
max_left[-1,1right]left|fright|leq10left(intop_-1^1(f''left(xright))^2dxright)^frac12.
$$










share|cite|improve this question













Anyone has an idea to solve the following problem?



Let $fin C^2left(left[-1,1right]right)$ such that $f''left(xright)geq0$
for any $xinleft[-1,1right]$ and $fleft(-1right)=fleft(1right)=0.$
Prove that
$$
max_left[-1,1right]left|fright|leq10left(intop_-1^1(f''left(xright))^2dxright)^frac12.
$$







real-analysis integral-inequality






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asked 2 hours ago









Hahn

663




663











  • What does $fin C^2([-1,1])$ mean?
    – AnotherJohnDoe
    2 hours ago






  • 2




    It means: $f$ is continuously differentiable up to second order on a neighborhood of [-1,1].
    – Hahn
    2 hours ago

















  • What does $fin C^2([-1,1])$ mean?
    – AnotherJohnDoe
    2 hours ago






  • 2




    It means: $f$ is continuously differentiable up to second order on a neighborhood of [-1,1].
    – Hahn
    2 hours ago
















What does $fin C^2([-1,1])$ mean?
– AnotherJohnDoe
2 hours ago




What does $fin C^2([-1,1])$ mean?
– AnotherJohnDoe
2 hours ago




2




2




It means: $f$ is continuously differentiable up to second order on a neighborhood of [-1,1].
– Hahn
2 hours ago





It means: $f$ is continuously differentiable up to second order on a neighborhood of [-1,1].
– Hahn
2 hours ago











1 Answer
1






active

oldest

votes

















up vote
6
down vote













Let $alpha$ be a maximum point of $|f|$. Then $f'(alpha) = 0$ and $f(alpha) leq 0$. So



$$ max_[-1,1] |f| = -f(alpha) = int_alpha^1 f'(x) , dx = int_alpha^1 (1-x) f''(x) , dx. $$



Now by the Cauchy-Schwarz inequality,



beginalign*
int_alpha^1 (1-x) f''(x) , dx
&leq left( int_alpha^1 (1-x)^2 , dx right)^1/2left( int_-1^1 f''(x)^2 , dx right)^1/2 \
&leq sqrtfrac83 left( int_-1^1 f''(x)^2 , dx right)^1/2.
endalign*




Remarks. Let $C_0$ be the infimum over all $C>0$ for which



$$max_[-1,1] |f| leq C left( int_-1^1 f''(x)^2 , dx right)^1/2$$



holds for all $f in C^2([-1,1])$ with $f(-1) = f(1) = 0$. The above proof shows that $C_0 leq sqrt8/3$. In fact, a slightly better idea yields an improved bound $C_0 leq sqrt2/3$. It would be interesting to identify the sharp constant $C_0$.



Moreover, the convexity condition $f'' geq 0$ is not essential to the above solution. It would be nice if the sharp bound $C_0$ can be improved if we restrict our attention to convex functions.






share|cite|improve this answer






















  • It's such a nice transform. $$max_[-1,1] |f| = -f(alpha) = int_alpha^1 f'(x) , dx = int_alpha^1 (1-x) f''(x) , dx.$$
    – Hahn
    1 hour ago











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1 Answer
1






active

oldest

votes








1 Answer
1






active

oldest

votes









active

oldest

votes






active

oldest

votes








up vote
6
down vote













Let $alpha$ be a maximum point of $|f|$. Then $f'(alpha) = 0$ and $f(alpha) leq 0$. So



$$ max_[-1,1] |f| = -f(alpha) = int_alpha^1 f'(x) , dx = int_alpha^1 (1-x) f''(x) , dx. $$



Now by the Cauchy-Schwarz inequality,



beginalign*
int_alpha^1 (1-x) f''(x) , dx
&leq left( int_alpha^1 (1-x)^2 , dx right)^1/2left( int_-1^1 f''(x)^2 , dx right)^1/2 \
&leq sqrtfrac83 left( int_-1^1 f''(x)^2 , dx right)^1/2.
endalign*




Remarks. Let $C_0$ be the infimum over all $C>0$ for which



$$max_[-1,1] |f| leq C left( int_-1^1 f''(x)^2 , dx right)^1/2$$



holds for all $f in C^2([-1,1])$ with $f(-1) = f(1) = 0$. The above proof shows that $C_0 leq sqrt8/3$. In fact, a slightly better idea yields an improved bound $C_0 leq sqrt2/3$. It would be interesting to identify the sharp constant $C_0$.



Moreover, the convexity condition $f'' geq 0$ is not essential to the above solution. It would be nice if the sharp bound $C_0$ can be improved if we restrict our attention to convex functions.






share|cite|improve this answer






















  • It's such a nice transform. $$max_[-1,1] |f| = -f(alpha) = int_alpha^1 f'(x) , dx = int_alpha^1 (1-x) f''(x) , dx.$$
    – Hahn
    1 hour ago















up vote
6
down vote













Let $alpha$ be a maximum point of $|f|$. Then $f'(alpha) = 0$ and $f(alpha) leq 0$. So



$$ max_[-1,1] |f| = -f(alpha) = int_alpha^1 f'(x) , dx = int_alpha^1 (1-x) f''(x) , dx. $$



Now by the Cauchy-Schwarz inequality,



beginalign*
int_alpha^1 (1-x) f''(x) , dx
&leq left( int_alpha^1 (1-x)^2 , dx right)^1/2left( int_-1^1 f''(x)^2 , dx right)^1/2 \
&leq sqrtfrac83 left( int_-1^1 f''(x)^2 , dx right)^1/2.
endalign*




Remarks. Let $C_0$ be the infimum over all $C>0$ for which



$$max_[-1,1] |f| leq C left( int_-1^1 f''(x)^2 , dx right)^1/2$$



holds for all $f in C^2([-1,1])$ with $f(-1) = f(1) = 0$. The above proof shows that $C_0 leq sqrt8/3$. In fact, a slightly better idea yields an improved bound $C_0 leq sqrt2/3$. It would be interesting to identify the sharp constant $C_0$.



Moreover, the convexity condition $f'' geq 0$ is not essential to the above solution. It would be nice if the sharp bound $C_0$ can be improved if we restrict our attention to convex functions.






share|cite|improve this answer






















  • It's such a nice transform. $$max_[-1,1] |f| = -f(alpha) = int_alpha^1 f'(x) , dx = int_alpha^1 (1-x) f''(x) , dx.$$
    – Hahn
    1 hour ago













up vote
6
down vote










up vote
6
down vote









Let $alpha$ be a maximum point of $|f|$. Then $f'(alpha) = 0$ and $f(alpha) leq 0$. So



$$ max_[-1,1] |f| = -f(alpha) = int_alpha^1 f'(x) , dx = int_alpha^1 (1-x) f''(x) , dx. $$



Now by the Cauchy-Schwarz inequality,



beginalign*
int_alpha^1 (1-x) f''(x) , dx
&leq left( int_alpha^1 (1-x)^2 , dx right)^1/2left( int_-1^1 f''(x)^2 , dx right)^1/2 \
&leq sqrtfrac83 left( int_-1^1 f''(x)^2 , dx right)^1/2.
endalign*




Remarks. Let $C_0$ be the infimum over all $C>0$ for which



$$max_[-1,1] |f| leq C left( int_-1^1 f''(x)^2 , dx right)^1/2$$



holds for all $f in C^2([-1,1])$ with $f(-1) = f(1) = 0$. The above proof shows that $C_0 leq sqrt8/3$. In fact, a slightly better idea yields an improved bound $C_0 leq sqrt2/3$. It would be interesting to identify the sharp constant $C_0$.



Moreover, the convexity condition $f'' geq 0$ is not essential to the above solution. It would be nice if the sharp bound $C_0$ can be improved if we restrict our attention to convex functions.






share|cite|improve this answer














Let $alpha$ be a maximum point of $|f|$. Then $f'(alpha) = 0$ and $f(alpha) leq 0$. So



$$ max_[-1,1] |f| = -f(alpha) = int_alpha^1 f'(x) , dx = int_alpha^1 (1-x) f''(x) , dx. $$



Now by the Cauchy-Schwarz inequality,



beginalign*
int_alpha^1 (1-x) f''(x) , dx
&leq left( int_alpha^1 (1-x)^2 , dx right)^1/2left( int_-1^1 f''(x)^2 , dx right)^1/2 \
&leq sqrtfrac83 left( int_-1^1 f''(x)^2 , dx right)^1/2.
endalign*




Remarks. Let $C_0$ be the infimum over all $C>0$ for which



$$max_[-1,1] |f| leq C left( int_-1^1 f''(x)^2 , dx right)^1/2$$



holds for all $f in C^2([-1,1])$ with $f(-1) = f(1) = 0$. The above proof shows that $C_0 leq sqrt8/3$. In fact, a slightly better idea yields an improved bound $C_0 leq sqrt2/3$. It would be interesting to identify the sharp constant $C_0$.



Moreover, the convexity condition $f'' geq 0$ is not essential to the above solution. It would be nice if the sharp bound $C_0$ can be improved if we restrict our attention to convex functions.







share|cite|improve this answer














share|cite|improve this answer



share|cite|improve this answer








edited 1 hour ago

























answered 1 hour ago









Sangchul Lee

88.1k12159260




88.1k12159260











  • It's such a nice transform. $$max_[-1,1] |f| = -f(alpha) = int_alpha^1 f'(x) , dx = int_alpha^1 (1-x) f''(x) , dx.$$
    – Hahn
    1 hour ago

















  • It's such a nice transform. $$max_[-1,1] |f| = -f(alpha) = int_alpha^1 f'(x) , dx = int_alpha^1 (1-x) f''(x) , dx.$$
    – Hahn
    1 hour ago
















It's such a nice transform. $$max_[-1,1] |f| = -f(alpha) = int_alpha^1 f'(x) , dx = int_alpha^1 (1-x) f''(x) , dx.$$
– Hahn
1 hour ago





It's such a nice transform. $$max_[-1,1] |f| = -f(alpha) = int_alpha^1 f'(x) , dx = int_alpha^1 (1-x) f''(x) , dx.$$
– Hahn
1 hour ago


















 

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