A function have minimum or maximum











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Let $f$ be strictly convex or concave on $Bbb R$. $lim_{xto -infty}f'(x)=A<0, lim_{xto+infty}f'(x)=B<0$. Can we show that $f$ attains a global minimum or maximum?



I could not even construct such an example satisfying the assumptions.










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    Let $f$ be strictly convex or concave on $Bbb R$. $lim_{xto -infty}f'(x)=A<0, lim_{xto+infty}f'(x)=B<0$. Can we show that $f$ attains a global minimum or maximum?



    I could not even construct such an example satisfying the assumptions.










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      Let $f$ be strictly convex or concave on $Bbb R$. $lim_{xto -infty}f'(x)=A<0, lim_{xto+infty}f'(x)=B<0$. Can we show that $f$ attains a global minimum or maximum?



      I could not even construct such an example satisfying the assumptions.










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      Let $f$ be strictly convex or concave on $Bbb R$. $lim_{xto -infty}f'(x)=A<0, lim_{xto+infty}f'(x)=B<0$. Can we show that $f$ attains a global minimum or maximum?



      I could not even construct such an example satisfying the assumptions.







      calculus convex-analysis






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      edited Nov 21 at 11:47

























      asked Nov 21 at 11:16









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          If $$f(x)=-ln(1+e^{-x})-2x$$



          then
          $$f'(x)=-1-frac{1}{1+e^{-x}}$$



          and we have $lim_{xto-infty}f'(x)=-1<0$ and $lim_{xtoinfty}f'(x)=-2<0$. The function $f$ is strictly concave because



          $$f''(x)=-frac{e^{-x}}{(1+e^{-x})^2}<0$$



          for all $xinmathbb{R}$.



          The function $f$ has no global maximum or minimum (its derivative is always negative).





          Note that I came up with the example by taking $f'$ to be the negative of a logistic function (which is a function with finite limits at $-infty$ and $infty$) and subtracting one (to make both the limits negative).



          (You could construct a strictly convex $f$ in a similar way, just by subtracting a larger number from the logistic function.)






          share|cite|improve this answer






























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            Suppose $f'$ exists for every $xinmathbb R$, if $f$ is strictly convex then $f'$ is strictly crescent so we must have $A<f'(x)<B<0$ and can't have any minimum-maximum because $m$ minimum (maximum) implies $f'(m)=0$. If $f$ is concave then $f'$ is strictly decrescent then it must be $B<f'(x)<A<0$ and so on.






            share|cite|improve this answer








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              Take a generic function $f(x)$ that meets the required criteria.
              Then, using the definition of a limit, we can divide $f(x)$ into three intervals: $(-infty,a)$, where $|f(x)-(C_1+Ax)|<epsilon$; $(b,infty)$, where $|f(x)-(C_2+Bx)|<epsilon$; and $[a,b]$, which is a closed interval, and therefore $f(x)$ has a maximum and a minimum value within it, which we will call $M$ and $N$ respectively. The approximations for the lines both have negative slope, which means that points $a'$ and $b'$ exist such that, $forall x<a', f(x)>M+epsilon>M$ and $forall x>b', f(x)<N-epsilon<N$.



              As such, there is no global maximum or minimum, although I also can't think of any examples for functions that actually meet the criteria.






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                Your Answer





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                3 Answers
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                up vote
                0
                down vote



                accepted










                If $$f(x)=-ln(1+e^{-x})-2x$$



                then
                $$f'(x)=-1-frac{1}{1+e^{-x}}$$



                and we have $lim_{xto-infty}f'(x)=-1<0$ and $lim_{xtoinfty}f'(x)=-2<0$. The function $f$ is strictly concave because



                $$f''(x)=-frac{e^{-x}}{(1+e^{-x})^2}<0$$



                for all $xinmathbb{R}$.



                The function $f$ has no global maximum or minimum (its derivative is always negative).





                Note that I came up with the example by taking $f'$ to be the negative of a logistic function (which is a function with finite limits at $-infty$ and $infty$) and subtracting one (to make both the limits negative).



                (You could construct a strictly convex $f$ in a similar way, just by subtracting a larger number from the logistic function.)






                share|cite|improve this answer



























                  up vote
                  0
                  down vote



                  accepted










                  If $$f(x)=-ln(1+e^{-x})-2x$$



                  then
                  $$f'(x)=-1-frac{1}{1+e^{-x}}$$



                  and we have $lim_{xto-infty}f'(x)=-1<0$ and $lim_{xtoinfty}f'(x)=-2<0$. The function $f$ is strictly concave because



                  $$f''(x)=-frac{e^{-x}}{(1+e^{-x})^2}<0$$



                  for all $xinmathbb{R}$.



                  The function $f$ has no global maximum or minimum (its derivative is always negative).





                  Note that I came up with the example by taking $f'$ to be the negative of a logistic function (which is a function with finite limits at $-infty$ and $infty$) and subtracting one (to make both the limits negative).



                  (You could construct a strictly convex $f$ in a similar way, just by subtracting a larger number from the logistic function.)






                  share|cite|improve this answer

























                    up vote
                    0
                    down vote



                    accepted







                    up vote
                    0
                    down vote



                    accepted






                    If $$f(x)=-ln(1+e^{-x})-2x$$



                    then
                    $$f'(x)=-1-frac{1}{1+e^{-x}}$$



                    and we have $lim_{xto-infty}f'(x)=-1<0$ and $lim_{xtoinfty}f'(x)=-2<0$. The function $f$ is strictly concave because



                    $$f''(x)=-frac{e^{-x}}{(1+e^{-x})^2}<0$$



                    for all $xinmathbb{R}$.



                    The function $f$ has no global maximum or minimum (its derivative is always negative).





                    Note that I came up with the example by taking $f'$ to be the negative of a logistic function (which is a function with finite limits at $-infty$ and $infty$) and subtracting one (to make both the limits negative).



                    (You could construct a strictly convex $f$ in a similar way, just by subtracting a larger number from the logistic function.)






                    share|cite|improve this answer














                    If $$f(x)=-ln(1+e^{-x})-2x$$



                    then
                    $$f'(x)=-1-frac{1}{1+e^{-x}}$$



                    and we have $lim_{xto-infty}f'(x)=-1<0$ and $lim_{xtoinfty}f'(x)=-2<0$. The function $f$ is strictly concave because



                    $$f''(x)=-frac{e^{-x}}{(1+e^{-x})^2}<0$$



                    for all $xinmathbb{R}$.



                    The function $f$ has no global maximum or minimum (its derivative is always negative).





                    Note that I came up with the example by taking $f'$ to be the negative of a logistic function (which is a function with finite limits at $-infty$ and $infty$) and subtracting one (to make both the limits negative).



                    (You could construct a strictly convex $f$ in a similar way, just by subtracting a larger number from the logistic function.)







                    share|cite|improve this answer














                    share|cite|improve this answer



                    share|cite|improve this answer








                    edited Nov 21 at 12:44

























                    answered Nov 21 at 12:38









                    smcc

                    4,282517




                    4,282517






















                        up vote
                        1
                        down vote













                        Suppose $f'$ exists for every $xinmathbb R$, if $f$ is strictly convex then $f'$ is strictly crescent so we must have $A<f'(x)<B<0$ and can't have any minimum-maximum because $m$ minimum (maximum) implies $f'(m)=0$. If $f$ is concave then $f'$ is strictly decrescent then it must be $B<f'(x)<A<0$ and so on.






                        share|cite|improve this answer








                        New contributor




                        P De Donato is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
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                          up vote
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                          Suppose $f'$ exists for every $xinmathbb R$, if $f$ is strictly convex then $f'$ is strictly crescent so we must have $A<f'(x)<B<0$ and can't have any minimum-maximum because $m$ minimum (maximum) implies $f'(m)=0$. If $f$ is concave then $f'$ is strictly decrescent then it must be $B<f'(x)<A<0$ and so on.






                          share|cite|improve this answer








                          New contributor




                          P De Donato is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
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                            up vote
                            1
                            down vote










                            up vote
                            1
                            down vote









                            Suppose $f'$ exists for every $xinmathbb R$, if $f$ is strictly convex then $f'$ is strictly crescent so we must have $A<f'(x)<B<0$ and can't have any minimum-maximum because $m$ minimum (maximum) implies $f'(m)=0$. If $f$ is concave then $f'$ is strictly decrescent then it must be $B<f'(x)<A<0$ and so on.






                            share|cite|improve this answer








                            New contributor




                            P De Donato is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
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                            Suppose $f'$ exists for every $xinmathbb R$, if $f$ is strictly convex then $f'$ is strictly crescent so we must have $A<f'(x)<B<0$ and can't have any minimum-maximum because $m$ minimum (maximum) implies $f'(m)=0$. If $f$ is concave then $f'$ is strictly decrescent then it must be $B<f'(x)<A<0$ and so on.







                            share|cite|improve this answer








                            New contributor




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                            share|cite|improve this answer



                            share|cite|improve this answer






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                            answered Nov 21 at 12:06









                            P De Donato

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                                up vote
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                                Take a generic function $f(x)$ that meets the required criteria.
                                Then, using the definition of a limit, we can divide $f(x)$ into three intervals: $(-infty,a)$, where $|f(x)-(C_1+Ax)|<epsilon$; $(b,infty)$, where $|f(x)-(C_2+Bx)|<epsilon$; and $[a,b]$, which is a closed interval, and therefore $f(x)$ has a maximum and a minimum value within it, which we will call $M$ and $N$ respectively. The approximations for the lines both have negative slope, which means that points $a'$ and $b'$ exist such that, $forall x<a', f(x)>M+epsilon>M$ and $forall x>b', f(x)<N-epsilon<N$.



                                As such, there is no global maximum or minimum, although I also can't think of any examples for functions that actually meet the criteria.






                                share|cite|improve this answer








                                New contributor




                                MoKo19 is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
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                                  up vote
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                                  down vote













                                  Take a generic function $f(x)$ that meets the required criteria.
                                  Then, using the definition of a limit, we can divide $f(x)$ into three intervals: $(-infty,a)$, where $|f(x)-(C_1+Ax)|<epsilon$; $(b,infty)$, where $|f(x)-(C_2+Bx)|<epsilon$; and $[a,b]$, which is a closed interval, and therefore $f(x)$ has a maximum and a minimum value within it, which we will call $M$ and $N$ respectively. The approximations for the lines both have negative slope, which means that points $a'$ and $b'$ exist such that, $forall x<a', f(x)>M+epsilon>M$ and $forall x>b', f(x)<N-epsilon<N$.



                                  As such, there is no global maximum or minimum, although I also can't think of any examples for functions that actually meet the criteria.






                                  share|cite|improve this answer








                                  New contributor




                                  MoKo19 is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
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                                    up vote
                                    0
                                    down vote










                                    up vote
                                    0
                                    down vote









                                    Take a generic function $f(x)$ that meets the required criteria.
                                    Then, using the definition of a limit, we can divide $f(x)$ into three intervals: $(-infty,a)$, where $|f(x)-(C_1+Ax)|<epsilon$; $(b,infty)$, where $|f(x)-(C_2+Bx)|<epsilon$; and $[a,b]$, which is a closed interval, and therefore $f(x)$ has a maximum and a minimum value within it, which we will call $M$ and $N$ respectively. The approximations for the lines both have negative slope, which means that points $a'$ and $b'$ exist such that, $forall x<a', f(x)>M+epsilon>M$ and $forall x>b', f(x)<N-epsilon<N$.



                                    As such, there is no global maximum or minimum, although I also can't think of any examples for functions that actually meet the criteria.






                                    share|cite|improve this answer








                                    New contributor




                                    MoKo19 is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
                                    Check out our Code of Conduct.









                                    Take a generic function $f(x)$ that meets the required criteria.
                                    Then, using the definition of a limit, we can divide $f(x)$ into three intervals: $(-infty,a)$, where $|f(x)-(C_1+Ax)|<epsilon$; $(b,infty)$, where $|f(x)-(C_2+Bx)|<epsilon$; and $[a,b]$, which is a closed interval, and therefore $f(x)$ has a maximum and a minimum value within it, which we will call $M$ and $N$ respectively. The approximations for the lines both have negative slope, which means that points $a'$ and $b'$ exist such that, $forall x<a', f(x)>M+epsilon>M$ and $forall x>b', f(x)<N-epsilon<N$.



                                    As such, there is no global maximum or minimum, although I also can't think of any examples for functions that actually meet the criteria.







                                    share|cite|improve this answer








                                    New contributor




                                    MoKo19 is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
                                    Check out our Code of Conduct.









                                    share|cite|improve this answer



                                    share|cite|improve this answer






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                                    answered Nov 21 at 12:06









                                    MoKo19

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