Does a bounded function $f$ on $mathbb R$ has zero for its second derivative?












1














Ask: Does a bounded function $f$ on $mathbb R$, which is continuous and twice differentiable on $mathbb R$, has zero for its second derivative, i.e. there exists a point $x_0 in mathbb R$ such that
$$f''(x_0)=0$$
My idea is considering the contrapositive for the statement above. Let say
$$f''(x_0)>0$$
, or equivalently the function $f$ is strictly convex. (Another case: Consider the function $-f$, which is strictly concave and having $-f''(x_0)<0$.) Then the function $f$ supposes to be strictly increasing, so $f$ is not bounded on $mathbb R$.



Then it follows the conclusion is true.



I am doubted whether my proof is correct or not, and am interested in finding a relevant example, or a counterexample for the conclusion.










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    1














    Ask: Does a bounded function $f$ on $mathbb R$, which is continuous and twice differentiable on $mathbb R$, has zero for its second derivative, i.e. there exists a point $x_0 in mathbb R$ such that
    $$f''(x_0)=0$$
    My idea is considering the contrapositive for the statement above. Let say
    $$f''(x_0)>0$$
    , or equivalently the function $f$ is strictly convex. (Another case: Consider the function $-f$, which is strictly concave and having $-f''(x_0)<0$.) Then the function $f$ supposes to be strictly increasing, so $f$ is not bounded on $mathbb R$.



    Then it follows the conclusion is true.



    I am doubted whether my proof is correct or not, and am interested in finding a relevant example, or a counterexample for the conclusion.










    share|cite|improve this question



























      1












      1








      1







      Ask: Does a bounded function $f$ on $mathbb R$, which is continuous and twice differentiable on $mathbb R$, has zero for its second derivative, i.e. there exists a point $x_0 in mathbb R$ such that
      $$f''(x_0)=0$$
      My idea is considering the contrapositive for the statement above. Let say
      $$f''(x_0)>0$$
      , or equivalently the function $f$ is strictly convex. (Another case: Consider the function $-f$, which is strictly concave and having $-f''(x_0)<0$.) Then the function $f$ supposes to be strictly increasing, so $f$ is not bounded on $mathbb R$.



      Then it follows the conclusion is true.



      I am doubted whether my proof is correct or not, and am interested in finding a relevant example, or a counterexample for the conclusion.










      share|cite|improve this question















      Ask: Does a bounded function $f$ on $mathbb R$, which is continuous and twice differentiable on $mathbb R$, has zero for its second derivative, i.e. there exists a point $x_0 in mathbb R$ such that
      $$f''(x_0)=0$$
      My idea is considering the contrapositive for the statement above. Let say
      $$f''(x_0)>0$$
      , or equivalently the function $f$ is strictly convex. (Another case: Consider the function $-f$, which is strictly concave and having $-f''(x_0)<0$.) Then the function $f$ supposes to be strictly increasing, so $f$ is not bounded on $mathbb R$.



      Then it follows the conclusion is true.



      I am doubted whether my proof is correct or not, and am interested in finding a relevant example, or a counterexample for the conclusion.







      derivatives proof-verification






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      edited yesterday

























      asked yesterday









      weilam06

      14811




      14811






















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          There exists functions $f$ that are strictly increasing but bounded, take $f = arctan(x)$. So that implication in the last statement of your proof is not right.






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            Your idea is correct. However you need to prove why a convex map can’t be bounded.



            An argument is that such a map is always above its tangent. Then consider the value of $f^prime(x)$. I can’t be always vanishing.



            If $f^prime(x_0)>0$ then $limlimits_{x to infty} f(x) =infty$. And if $f^prime(x_0)<0$ then $limlimits_{x to -infty} f(x) =infty$. Due again to the fact that a convex map lies above its tangents.






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              2 Answers
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              active

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              2 Answers
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              active

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              0














              There exists functions $f$ that are strictly increasing but bounded, take $f = arctan(x)$. So that implication in the last statement of your proof is not right.






              share|cite|improve this answer


























                0














                There exists functions $f$ that are strictly increasing but bounded, take $f = arctan(x)$. So that implication in the last statement of your proof is not right.






                share|cite|improve this answer
























                  0












                  0








                  0






                  There exists functions $f$ that are strictly increasing but bounded, take $f = arctan(x)$. So that implication in the last statement of your proof is not right.






                  share|cite|improve this answer












                  There exists functions $f$ that are strictly increasing but bounded, take $f = arctan(x)$. So that implication in the last statement of your proof is not right.







                  share|cite|improve this answer












                  share|cite|improve this answer



                  share|cite|improve this answer










                  answered yesterday









                  twnly

                  53619




                  53619























                      0














                      Your idea is correct. However you need to prove why a convex map can’t be bounded.



                      An argument is that such a map is always above its tangent. Then consider the value of $f^prime(x)$. I can’t be always vanishing.



                      If $f^prime(x_0)>0$ then $limlimits_{x to infty} f(x) =infty$. And if $f^prime(x_0)<0$ then $limlimits_{x to -infty} f(x) =infty$. Due again to the fact that a convex map lies above its tangents.






                      share|cite|improve this answer


























                        0














                        Your idea is correct. However you need to prove why a convex map can’t be bounded.



                        An argument is that such a map is always above its tangent. Then consider the value of $f^prime(x)$. I can’t be always vanishing.



                        If $f^prime(x_0)>0$ then $limlimits_{x to infty} f(x) =infty$. And if $f^prime(x_0)<0$ then $limlimits_{x to -infty} f(x) =infty$. Due again to the fact that a convex map lies above its tangents.






                        share|cite|improve this answer
























                          0












                          0








                          0






                          Your idea is correct. However you need to prove why a convex map can’t be bounded.



                          An argument is that such a map is always above its tangent. Then consider the value of $f^prime(x)$. I can’t be always vanishing.



                          If $f^prime(x_0)>0$ then $limlimits_{x to infty} f(x) =infty$. And if $f^prime(x_0)<0$ then $limlimits_{x to -infty} f(x) =infty$. Due again to the fact that a convex map lies above its tangents.






                          share|cite|improve this answer












                          Your idea is correct. However you need to prove why a convex map can’t be bounded.



                          An argument is that such a map is always above its tangent. Then consider the value of $f^prime(x)$. I can’t be always vanishing.



                          If $f^prime(x_0)>0$ then $limlimits_{x to infty} f(x) =infty$. And if $f^prime(x_0)<0$ then $limlimits_{x to -infty} f(x) =infty$. Due again to the fact that a convex map lies above its tangents.







                          share|cite|improve this answer












                          share|cite|improve this answer



                          share|cite|improve this answer










                          answered yesterday









                          mathcounterexamples.net

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                          25.2k21953






























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