Minimize $int_0^1 A(x)dx$ given $int_0^1 frac{dx}{A(x)}le text{constant}$












4












$begingroup$


The following problem is derived from a Finite element problem.



We have a beam which is subject tot a constant axial force. With out loss of generality the beam can have a variable section area $A(x)$. The beam cannot exceed a certain strain value, that is, it cannot be shorten by more than a given percentage. We want the beam to be with the smallest possible volume.



I have no idea how to approach the following optimization problem. Let $Volume=int_a^bA(x)dx$. The constraint is given by $int_a^b frac{1}{A(x)}dxleq const$.



Hence:
$$min_{A} {Volume} \S.T. int_a^b frac{1}{A(x)}dxleq const$$




  • How do I approach such a problem if at all possible?

  • If not, is there a way to solve this, given the relaxation of $A(x)$ being a polynomial function lower than the 4th (inertia momentum) degree?










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  • $begingroup$
    Hunch: You're going to need to massage your constraint, maybe something like this: $int_a^bleft[operatorname{Const}-frac{1}{A(x)}right],dxge 0,$ then combine it with the minimization integral using a Lagrange multiplier.
    $endgroup$
    – Adrian Keister
    Dec 11 '18 at 16:02
















4












$begingroup$


The following problem is derived from a Finite element problem.



We have a beam which is subject tot a constant axial force. With out loss of generality the beam can have a variable section area $A(x)$. The beam cannot exceed a certain strain value, that is, it cannot be shorten by more than a given percentage. We want the beam to be with the smallest possible volume.



I have no idea how to approach the following optimization problem. Let $Volume=int_a^bA(x)dx$. The constraint is given by $int_a^b frac{1}{A(x)}dxleq const$.



Hence:
$$min_{A} {Volume} \S.T. int_a^b frac{1}{A(x)}dxleq const$$




  • How do I approach such a problem if at all possible?

  • If not, is there a way to solve this, given the relaxation of $A(x)$ being a polynomial function lower than the 4th (inertia momentum) degree?










share|cite|improve this question











$endgroup$












  • $begingroup$
    Hunch: You're going to need to massage your constraint, maybe something like this: $int_a^bleft[operatorname{Const}-frac{1}{A(x)}right],dxge 0,$ then combine it with the minimization integral using a Lagrange multiplier.
    $endgroup$
    – Adrian Keister
    Dec 11 '18 at 16:02














4












4








4





$begingroup$


The following problem is derived from a Finite element problem.



We have a beam which is subject tot a constant axial force. With out loss of generality the beam can have a variable section area $A(x)$. The beam cannot exceed a certain strain value, that is, it cannot be shorten by more than a given percentage. We want the beam to be with the smallest possible volume.



I have no idea how to approach the following optimization problem. Let $Volume=int_a^bA(x)dx$. The constraint is given by $int_a^b frac{1}{A(x)}dxleq const$.



Hence:
$$min_{A} {Volume} \S.T. int_a^b frac{1}{A(x)}dxleq const$$




  • How do I approach such a problem if at all possible?

  • If not, is there a way to solve this, given the relaxation of $A(x)$ being a polynomial function lower than the 4th (inertia momentum) degree?










share|cite|improve this question











$endgroup$




The following problem is derived from a Finite element problem.



We have a beam which is subject tot a constant axial force. With out loss of generality the beam can have a variable section area $A(x)$. The beam cannot exceed a certain strain value, that is, it cannot be shorten by more than a given percentage. We want the beam to be with the smallest possible volume.



I have no idea how to approach the following optimization problem. Let $Volume=int_a^bA(x)dx$. The constraint is given by $int_a^b frac{1}{A(x)}dxleq const$.



Hence:
$$min_{A} {Volume} \S.T. int_a^b frac{1}{A(x)}dxleq const$$




  • How do I approach such a problem if at all possible?

  • If not, is there a way to solve this, given the relaxation of $A(x)$ being a polynomial function lower than the 4th (inertia momentum) degree?







optimization calculus-of-variations






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edited Dec 11 '18 at 16:31









Frpzzd

22.9k841109




22.9k841109










asked Dec 11 '18 at 15:55









havakokhavakok

520215




520215












  • $begingroup$
    Hunch: You're going to need to massage your constraint, maybe something like this: $int_a^bleft[operatorname{Const}-frac{1}{A(x)}right],dxge 0,$ then combine it with the minimization integral using a Lagrange multiplier.
    $endgroup$
    – Adrian Keister
    Dec 11 '18 at 16:02


















  • $begingroup$
    Hunch: You're going to need to massage your constraint, maybe something like this: $int_a^bleft[operatorname{Const}-frac{1}{A(x)}right],dxge 0,$ then combine it with the minimization integral using a Lagrange multiplier.
    $endgroup$
    – Adrian Keister
    Dec 11 '18 at 16:02
















$begingroup$
Hunch: You're going to need to massage your constraint, maybe something like this: $int_a^bleft[operatorname{Const}-frac{1}{A(x)}right],dxge 0,$ then combine it with the minimization integral using a Lagrange multiplier.
$endgroup$
– Adrian Keister
Dec 11 '18 at 16:02




$begingroup$
Hunch: You're going to need to massage your constraint, maybe something like this: $int_a^bleft[operatorname{Const}-frac{1}{A(x)}right],dxge 0,$ then combine it with the minimization integral using a Lagrange multiplier.
$endgroup$
– Adrian Keister
Dec 11 '18 at 16:02










2 Answers
2






active

oldest

votes


















4












$begingroup$

This is not a general approach, but it will lead you to the final answer quickly.



Let's say $int_a^b frac{dx}{A} le K$ for some given constant $K$, then by Cauchy Schwarz



$$K int_a^b A(x) dx ge int_a^b frac{dx}{A(x)} int_a^b A(x) dx stackrel{CS}{ge} left(int_a^b dxright)^2 = (b-a)^2$$
This leads to following lower bound for the integral $$int_a^b A(x) dx ge frac{(b-a)^2}{K}$$
Since this lower bound is achieved by the constant function $A(x) = frac{b-a}{K}$, the minimum volume is $frac{(b-a)^2}{K}$.





For a general approach, you need to set this up as a calculus of variation problem with constraint.
The constrainted Lagrange has the form



$$mathcal{L}(x) = A(x) + lambdaleft(frac{1}{A(x)} - kright)$$
for unknown constant $lambda$ and $k$.



You proceed to solve the associated Euler-Lagrange equation



$$frac{partial mathcal{L}}{partial A} - frac{d}{dx}left(frac{partial mathcal{L}}{partial A'}right) = 0$$
In this case, the EL-equation tell us



$$1 - frac{lambda}{A(x)^2} = 0$$
This means the solution which minimize the functional $int_a^b A(x) dx$ subject to constraint $int_a^b left( frac{1}{A(x)} - kright) dx = 0$ is probably a constant function. Finally, you need to verify by suitable choice of constant value of $A(x)$, you will get the actual minimum.



To make this precise, it probably take one or two chapters from a book. I will just stop here.






share|cite|improve this answer











$endgroup$





















    1












    $begingroup$

    First I will show that any minimum value of the integral you are considering can be attained by a constant function $A(x).$ Then, once you assume $A(x)$ is constant, the answer falls into your lap.



    For the sake of simplicity, I will assume that we are integrating over the interval $[0,1]$ instead of $[a,b]$. I will also assume that $A(x)le 1$ for all $xin [0,1]$, which I think is a reasonable assumption because "beams" are typically longer than they are thick.



    So, to restate the question, we want to find a function $A(x)$ that minimizes
    $$I=int_0^1 A(x)dx$$
    with the constraint that
    $$int_0^1 frac{dx}{A(x)}le C$$
    where $C$ is some given constant.



    To solve this problem, we will make use of the following fact, which can be verified using integration by substitution: if $f$ is an integrable function on $[0,1]$, then
    $$int_0^1 f(x)dx=int_0^1 frac{f(frac{x}{2})+f(frac{x+1}{2})}{2}dx$$
    Now suppose that $A_m(x)$ is a "well-behaved" function that minimizes $I$. Then, by the above identity, $I$ takes on the same value if we use the function
    $$frac{A_m(frac{x}{2})+A_m(frac{x+1}{2})}{2}$$
    instead. Further, notice that
    $$A_m(x)le 1 implies frac{2}{A_m(frac{x}{2})+A_m(frac{x+1}{2})}le frac{1}{2} bigg(frac{1}{A_m(frac{x}{2})}+frac{1}{A_m(frac{x+1}{2})}bigg)$$
    Which implies that
    $$int_0^1 frac{2dx}{A_m(frac{x}{2})+A_m(frac{x+1}{2})}le int_0^1 frac{dx}{A_m(x)}le C$$
    This is all that we need! This demonstrates that if $A_m(x)$ is a "minimizing function," then the function
    $$frac{A_m(frac{x}{2})+A_m(frac{x+1}{2})}{2}$$
    is also a "minimizing function." If we repeat the same process with this function, we see that
    $$frac{A_m(frac{x}{4})+A_m(frac{x+1}{4})+A_m(frac{x+2}{4})+A_m(frac{x+3}{4})}{4}$$
    is also a "minimizing function." In fact, repeating this process infinitely many times shows that the constant function function
    $$int_0^1 A_m(t)dt$$
    is also a "minimizing function." This proves that for any function minimizing the given integral, there exists a constant function that also minimizes it; for this reason, you may assume that your function $A(x)$ is constant.



    So let $A(x)=A$ be constant. Then we have
    $$int_0^1 frac{dx}{A}=frac{1}{A}le C$$
    and so $Age 1/C$, implying that $Ige 1/C$ and $I=1/C$ is the minimum value of your integral. Done!






    share|cite|improve this answer









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      2 Answers
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      2 Answers
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      active

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      4












      $begingroup$

      This is not a general approach, but it will lead you to the final answer quickly.



      Let's say $int_a^b frac{dx}{A} le K$ for some given constant $K$, then by Cauchy Schwarz



      $$K int_a^b A(x) dx ge int_a^b frac{dx}{A(x)} int_a^b A(x) dx stackrel{CS}{ge} left(int_a^b dxright)^2 = (b-a)^2$$
      This leads to following lower bound for the integral $$int_a^b A(x) dx ge frac{(b-a)^2}{K}$$
      Since this lower bound is achieved by the constant function $A(x) = frac{b-a}{K}$, the minimum volume is $frac{(b-a)^2}{K}$.





      For a general approach, you need to set this up as a calculus of variation problem with constraint.
      The constrainted Lagrange has the form



      $$mathcal{L}(x) = A(x) + lambdaleft(frac{1}{A(x)} - kright)$$
      for unknown constant $lambda$ and $k$.



      You proceed to solve the associated Euler-Lagrange equation



      $$frac{partial mathcal{L}}{partial A} - frac{d}{dx}left(frac{partial mathcal{L}}{partial A'}right) = 0$$
      In this case, the EL-equation tell us



      $$1 - frac{lambda}{A(x)^2} = 0$$
      This means the solution which minimize the functional $int_a^b A(x) dx$ subject to constraint $int_a^b left( frac{1}{A(x)} - kright) dx = 0$ is probably a constant function. Finally, you need to verify by suitable choice of constant value of $A(x)$, you will get the actual minimum.



      To make this precise, it probably take one or two chapters from a book. I will just stop here.






      share|cite|improve this answer











      $endgroup$


















        4












        $begingroup$

        This is not a general approach, but it will lead you to the final answer quickly.



        Let's say $int_a^b frac{dx}{A} le K$ for some given constant $K$, then by Cauchy Schwarz



        $$K int_a^b A(x) dx ge int_a^b frac{dx}{A(x)} int_a^b A(x) dx stackrel{CS}{ge} left(int_a^b dxright)^2 = (b-a)^2$$
        This leads to following lower bound for the integral $$int_a^b A(x) dx ge frac{(b-a)^2}{K}$$
        Since this lower bound is achieved by the constant function $A(x) = frac{b-a}{K}$, the minimum volume is $frac{(b-a)^2}{K}$.





        For a general approach, you need to set this up as a calculus of variation problem with constraint.
        The constrainted Lagrange has the form



        $$mathcal{L}(x) = A(x) + lambdaleft(frac{1}{A(x)} - kright)$$
        for unknown constant $lambda$ and $k$.



        You proceed to solve the associated Euler-Lagrange equation



        $$frac{partial mathcal{L}}{partial A} - frac{d}{dx}left(frac{partial mathcal{L}}{partial A'}right) = 0$$
        In this case, the EL-equation tell us



        $$1 - frac{lambda}{A(x)^2} = 0$$
        This means the solution which minimize the functional $int_a^b A(x) dx$ subject to constraint $int_a^b left( frac{1}{A(x)} - kright) dx = 0$ is probably a constant function. Finally, you need to verify by suitable choice of constant value of $A(x)$, you will get the actual minimum.



        To make this precise, it probably take one or two chapters from a book. I will just stop here.






        share|cite|improve this answer











        $endgroup$
















          4












          4








          4





          $begingroup$

          This is not a general approach, but it will lead you to the final answer quickly.



          Let's say $int_a^b frac{dx}{A} le K$ for some given constant $K$, then by Cauchy Schwarz



          $$K int_a^b A(x) dx ge int_a^b frac{dx}{A(x)} int_a^b A(x) dx stackrel{CS}{ge} left(int_a^b dxright)^2 = (b-a)^2$$
          This leads to following lower bound for the integral $$int_a^b A(x) dx ge frac{(b-a)^2}{K}$$
          Since this lower bound is achieved by the constant function $A(x) = frac{b-a}{K}$, the minimum volume is $frac{(b-a)^2}{K}$.





          For a general approach, you need to set this up as a calculus of variation problem with constraint.
          The constrainted Lagrange has the form



          $$mathcal{L}(x) = A(x) + lambdaleft(frac{1}{A(x)} - kright)$$
          for unknown constant $lambda$ and $k$.



          You proceed to solve the associated Euler-Lagrange equation



          $$frac{partial mathcal{L}}{partial A} - frac{d}{dx}left(frac{partial mathcal{L}}{partial A'}right) = 0$$
          In this case, the EL-equation tell us



          $$1 - frac{lambda}{A(x)^2} = 0$$
          This means the solution which minimize the functional $int_a^b A(x) dx$ subject to constraint $int_a^b left( frac{1}{A(x)} - kright) dx = 0$ is probably a constant function. Finally, you need to verify by suitable choice of constant value of $A(x)$, you will get the actual minimum.



          To make this precise, it probably take one or two chapters from a book. I will just stop here.






          share|cite|improve this answer











          $endgroup$



          This is not a general approach, but it will lead you to the final answer quickly.



          Let's say $int_a^b frac{dx}{A} le K$ for some given constant $K$, then by Cauchy Schwarz



          $$K int_a^b A(x) dx ge int_a^b frac{dx}{A(x)} int_a^b A(x) dx stackrel{CS}{ge} left(int_a^b dxright)^2 = (b-a)^2$$
          This leads to following lower bound for the integral $$int_a^b A(x) dx ge frac{(b-a)^2}{K}$$
          Since this lower bound is achieved by the constant function $A(x) = frac{b-a}{K}$, the minimum volume is $frac{(b-a)^2}{K}$.





          For a general approach, you need to set this up as a calculus of variation problem with constraint.
          The constrainted Lagrange has the form



          $$mathcal{L}(x) = A(x) + lambdaleft(frac{1}{A(x)} - kright)$$
          for unknown constant $lambda$ and $k$.



          You proceed to solve the associated Euler-Lagrange equation



          $$frac{partial mathcal{L}}{partial A} - frac{d}{dx}left(frac{partial mathcal{L}}{partial A'}right) = 0$$
          In this case, the EL-equation tell us



          $$1 - frac{lambda}{A(x)^2} = 0$$
          This means the solution which minimize the functional $int_a^b A(x) dx$ subject to constraint $int_a^b left( frac{1}{A(x)} - kright) dx = 0$ is probably a constant function. Finally, you need to verify by suitable choice of constant value of $A(x)$, you will get the actual minimum.



          To make this precise, it probably take one or two chapters from a book. I will just stop here.







          share|cite|improve this answer














          share|cite|improve this answer



          share|cite|improve this answer








          edited Dec 11 '18 at 16:43

























          answered Dec 11 '18 at 16:34









          achille huiachille hui

          95.9k5132258




          95.9k5132258























              1












              $begingroup$

              First I will show that any minimum value of the integral you are considering can be attained by a constant function $A(x).$ Then, once you assume $A(x)$ is constant, the answer falls into your lap.



              For the sake of simplicity, I will assume that we are integrating over the interval $[0,1]$ instead of $[a,b]$. I will also assume that $A(x)le 1$ for all $xin [0,1]$, which I think is a reasonable assumption because "beams" are typically longer than they are thick.



              So, to restate the question, we want to find a function $A(x)$ that minimizes
              $$I=int_0^1 A(x)dx$$
              with the constraint that
              $$int_0^1 frac{dx}{A(x)}le C$$
              where $C$ is some given constant.



              To solve this problem, we will make use of the following fact, which can be verified using integration by substitution: if $f$ is an integrable function on $[0,1]$, then
              $$int_0^1 f(x)dx=int_0^1 frac{f(frac{x}{2})+f(frac{x+1}{2})}{2}dx$$
              Now suppose that $A_m(x)$ is a "well-behaved" function that minimizes $I$. Then, by the above identity, $I$ takes on the same value if we use the function
              $$frac{A_m(frac{x}{2})+A_m(frac{x+1}{2})}{2}$$
              instead. Further, notice that
              $$A_m(x)le 1 implies frac{2}{A_m(frac{x}{2})+A_m(frac{x+1}{2})}le frac{1}{2} bigg(frac{1}{A_m(frac{x}{2})}+frac{1}{A_m(frac{x+1}{2})}bigg)$$
              Which implies that
              $$int_0^1 frac{2dx}{A_m(frac{x}{2})+A_m(frac{x+1}{2})}le int_0^1 frac{dx}{A_m(x)}le C$$
              This is all that we need! This demonstrates that if $A_m(x)$ is a "minimizing function," then the function
              $$frac{A_m(frac{x}{2})+A_m(frac{x+1}{2})}{2}$$
              is also a "minimizing function." If we repeat the same process with this function, we see that
              $$frac{A_m(frac{x}{4})+A_m(frac{x+1}{4})+A_m(frac{x+2}{4})+A_m(frac{x+3}{4})}{4}$$
              is also a "minimizing function." In fact, repeating this process infinitely many times shows that the constant function function
              $$int_0^1 A_m(t)dt$$
              is also a "minimizing function." This proves that for any function minimizing the given integral, there exists a constant function that also minimizes it; for this reason, you may assume that your function $A(x)$ is constant.



              So let $A(x)=A$ be constant. Then we have
              $$int_0^1 frac{dx}{A}=frac{1}{A}le C$$
              and so $Age 1/C$, implying that $Ige 1/C$ and $I=1/C$ is the minimum value of your integral. Done!






              share|cite|improve this answer









              $endgroup$


















                1












                $begingroup$

                First I will show that any minimum value of the integral you are considering can be attained by a constant function $A(x).$ Then, once you assume $A(x)$ is constant, the answer falls into your lap.



                For the sake of simplicity, I will assume that we are integrating over the interval $[0,1]$ instead of $[a,b]$. I will also assume that $A(x)le 1$ for all $xin [0,1]$, which I think is a reasonable assumption because "beams" are typically longer than they are thick.



                So, to restate the question, we want to find a function $A(x)$ that minimizes
                $$I=int_0^1 A(x)dx$$
                with the constraint that
                $$int_0^1 frac{dx}{A(x)}le C$$
                where $C$ is some given constant.



                To solve this problem, we will make use of the following fact, which can be verified using integration by substitution: if $f$ is an integrable function on $[0,1]$, then
                $$int_0^1 f(x)dx=int_0^1 frac{f(frac{x}{2})+f(frac{x+1}{2})}{2}dx$$
                Now suppose that $A_m(x)$ is a "well-behaved" function that minimizes $I$. Then, by the above identity, $I$ takes on the same value if we use the function
                $$frac{A_m(frac{x}{2})+A_m(frac{x+1}{2})}{2}$$
                instead. Further, notice that
                $$A_m(x)le 1 implies frac{2}{A_m(frac{x}{2})+A_m(frac{x+1}{2})}le frac{1}{2} bigg(frac{1}{A_m(frac{x}{2})}+frac{1}{A_m(frac{x+1}{2})}bigg)$$
                Which implies that
                $$int_0^1 frac{2dx}{A_m(frac{x}{2})+A_m(frac{x+1}{2})}le int_0^1 frac{dx}{A_m(x)}le C$$
                This is all that we need! This demonstrates that if $A_m(x)$ is a "minimizing function," then the function
                $$frac{A_m(frac{x}{2})+A_m(frac{x+1}{2})}{2}$$
                is also a "minimizing function." If we repeat the same process with this function, we see that
                $$frac{A_m(frac{x}{4})+A_m(frac{x+1}{4})+A_m(frac{x+2}{4})+A_m(frac{x+3}{4})}{4}$$
                is also a "minimizing function." In fact, repeating this process infinitely many times shows that the constant function function
                $$int_0^1 A_m(t)dt$$
                is also a "minimizing function." This proves that for any function minimizing the given integral, there exists a constant function that also minimizes it; for this reason, you may assume that your function $A(x)$ is constant.



                So let $A(x)=A$ be constant. Then we have
                $$int_0^1 frac{dx}{A}=frac{1}{A}le C$$
                and so $Age 1/C$, implying that $Ige 1/C$ and $I=1/C$ is the minimum value of your integral. Done!






                share|cite|improve this answer









                $endgroup$
















                  1












                  1








                  1





                  $begingroup$

                  First I will show that any minimum value of the integral you are considering can be attained by a constant function $A(x).$ Then, once you assume $A(x)$ is constant, the answer falls into your lap.



                  For the sake of simplicity, I will assume that we are integrating over the interval $[0,1]$ instead of $[a,b]$. I will also assume that $A(x)le 1$ for all $xin [0,1]$, which I think is a reasonable assumption because "beams" are typically longer than they are thick.



                  So, to restate the question, we want to find a function $A(x)$ that minimizes
                  $$I=int_0^1 A(x)dx$$
                  with the constraint that
                  $$int_0^1 frac{dx}{A(x)}le C$$
                  where $C$ is some given constant.



                  To solve this problem, we will make use of the following fact, which can be verified using integration by substitution: if $f$ is an integrable function on $[0,1]$, then
                  $$int_0^1 f(x)dx=int_0^1 frac{f(frac{x}{2})+f(frac{x+1}{2})}{2}dx$$
                  Now suppose that $A_m(x)$ is a "well-behaved" function that minimizes $I$. Then, by the above identity, $I$ takes on the same value if we use the function
                  $$frac{A_m(frac{x}{2})+A_m(frac{x+1}{2})}{2}$$
                  instead. Further, notice that
                  $$A_m(x)le 1 implies frac{2}{A_m(frac{x}{2})+A_m(frac{x+1}{2})}le frac{1}{2} bigg(frac{1}{A_m(frac{x}{2})}+frac{1}{A_m(frac{x+1}{2})}bigg)$$
                  Which implies that
                  $$int_0^1 frac{2dx}{A_m(frac{x}{2})+A_m(frac{x+1}{2})}le int_0^1 frac{dx}{A_m(x)}le C$$
                  This is all that we need! This demonstrates that if $A_m(x)$ is a "minimizing function," then the function
                  $$frac{A_m(frac{x}{2})+A_m(frac{x+1}{2})}{2}$$
                  is also a "minimizing function." If we repeat the same process with this function, we see that
                  $$frac{A_m(frac{x}{4})+A_m(frac{x+1}{4})+A_m(frac{x+2}{4})+A_m(frac{x+3}{4})}{4}$$
                  is also a "minimizing function." In fact, repeating this process infinitely many times shows that the constant function function
                  $$int_0^1 A_m(t)dt$$
                  is also a "minimizing function." This proves that for any function minimizing the given integral, there exists a constant function that also minimizes it; for this reason, you may assume that your function $A(x)$ is constant.



                  So let $A(x)=A$ be constant. Then we have
                  $$int_0^1 frac{dx}{A}=frac{1}{A}le C$$
                  and so $Age 1/C$, implying that $Ige 1/C$ and $I=1/C$ is the minimum value of your integral. Done!






                  share|cite|improve this answer









                  $endgroup$



                  First I will show that any minimum value of the integral you are considering can be attained by a constant function $A(x).$ Then, once you assume $A(x)$ is constant, the answer falls into your lap.



                  For the sake of simplicity, I will assume that we are integrating over the interval $[0,1]$ instead of $[a,b]$. I will also assume that $A(x)le 1$ for all $xin [0,1]$, which I think is a reasonable assumption because "beams" are typically longer than they are thick.



                  So, to restate the question, we want to find a function $A(x)$ that minimizes
                  $$I=int_0^1 A(x)dx$$
                  with the constraint that
                  $$int_0^1 frac{dx}{A(x)}le C$$
                  where $C$ is some given constant.



                  To solve this problem, we will make use of the following fact, which can be verified using integration by substitution: if $f$ is an integrable function on $[0,1]$, then
                  $$int_0^1 f(x)dx=int_0^1 frac{f(frac{x}{2})+f(frac{x+1}{2})}{2}dx$$
                  Now suppose that $A_m(x)$ is a "well-behaved" function that minimizes $I$. Then, by the above identity, $I$ takes on the same value if we use the function
                  $$frac{A_m(frac{x}{2})+A_m(frac{x+1}{2})}{2}$$
                  instead. Further, notice that
                  $$A_m(x)le 1 implies frac{2}{A_m(frac{x}{2})+A_m(frac{x+1}{2})}le frac{1}{2} bigg(frac{1}{A_m(frac{x}{2})}+frac{1}{A_m(frac{x+1}{2})}bigg)$$
                  Which implies that
                  $$int_0^1 frac{2dx}{A_m(frac{x}{2})+A_m(frac{x+1}{2})}le int_0^1 frac{dx}{A_m(x)}le C$$
                  This is all that we need! This demonstrates that if $A_m(x)$ is a "minimizing function," then the function
                  $$frac{A_m(frac{x}{2})+A_m(frac{x+1}{2})}{2}$$
                  is also a "minimizing function." If we repeat the same process with this function, we see that
                  $$frac{A_m(frac{x}{4})+A_m(frac{x+1}{4})+A_m(frac{x+2}{4})+A_m(frac{x+3}{4})}{4}$$
                  is also a "minimizing function." In fact, repeating this process infinitely many times shows that the constant function function
                  $$int_0^1 A_m(t)dt$$
                  is also a "minimizing function." This proves that for any function minimizing the given integral, there exists a constant function that also minimizes it; for this reason, you may assume that your function $A(x)$ is constant.



                  So let $A(x)=A$ be constant. Then we have
                  $$int_0^1 frac{dx}{A}=frac{1}{A}le C$$
                  and so $Age 1/C$, implying that $Ige 1/C$ and $I=1/C$ is the minimum value of your integral. Done!







                  share|cite|improve this answer












                  share|cite|improve this answer



                  share|cite|improve this answer










                  answered Dec 11 '18 at 16:29









                  FrpzzdFrpzzd

                  22.9k841109




                  22.9k841109






























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