Functional fixed points (ie fixed point of mapping from function space C[0,1] to itself)












7












$begingroup$


I am looking for some tips or guidance as to what machinery in mathematica can help me get at this problem numerically. I am looking for fixed points of a mapping, but the objects in question are themselves functions. Hence I am looking for a fixed point function.



The setup (simplified version):
suppose we restrict our search to continuous functions $f: [0,1]rightarrow [0,1]$. $p$ is a known parameter. I am looking for a fixed point (function) such that, for all $xin [0,1]$, $f(x)$ solves



$$f(x) = frac{x^p}{x^p + int_0^1 f(x) x^p , dx }.$$



It's not as simple as finding lots of fixed points for each $x$ in isolation, as the value of the expression at a single $x$ depends on the entire function $f$. Any help to try and solve this type of thing numerically would be much appreciated.










share|improve this question











$endgroup$








  • 1




    $begingroup$
    I can think of multiple ways to go about this: -discretize your function by representing it by a vector and solve the discretized problem as an approximation. Then this might result in a finite dimensional Eigenvalue problem which can be solved with Eigensystem or NDEigensystem. -use Interpolation as function representation and sample and reinterpolate after each iteration. - use a variational approach to find the fixed point, perhaps the VariationalMethods package can help with that.
    $endgroup$
    – Thies Heidecke
    Jan 3 at 13:47






  • 1




    $begingroup$
    - perhaps the problem can be stated as an ordinary differential equation and either be directly solved by DSolve, numerically by NDSolve or iteratively by a Picard iteration. I'm not sure if all of those methods can successfully tackle your problem, but all those alleys could be explored in Mathematica. Hope this gives you some ideas! When you try something and need further help, update your question with Mathematica code and specific questions, so that people can help you with the details.
    $endgroup$
    – Thies Heidecke
    Jan 3 at 13:49








  • 5




    $begingroup$
    The following should work: replace the integral with $c$. Solve for $f(x)$. Compute the integral as a function of $c$. Set the integral equal to $c$ and solve for $c$.
    $endgroup$
    – Lukas Lang
    Jan 3 at 14:08










  • $begingroup$
    Thank you very much for these suggestions. I have tried the ODE approach. I don't think that it can be transformed into an ODE as I don't see a way to remove the integral. The ratio means it can't be transformed into a Fredholm equation, for which code already exists to numerically solve. I will try discretizing in line with the great answer below. And I am a little lost by your suggestion, Lukas, although I will try work through it as well.
    $endgroup$
    – user434180
    Jan 3 at 14:38












  • $begingroup$
    @LukasLang Great idea, this seems like the most simple and best approach!
    $endgroup$
    – Thies Heidecke
    Jan 3 at 15:09
















7












$begingroup$


I am looking for some tips or guidance as to what machinery in mathematica can help me get at this problem numerically. I am looking for fixed points of a mapping, but the objects in question are themselves functions. Hence I am looking for a fixed point function.



The setup (simplified version):
suppose we restrict our search to continuous functions $f: [0,1]rightarrow [0,1]$. $p$ is a known parameter. I am looking for a fixed point (function) such that, for all $xin [0,1]$, $f(x)$ solves



$$f(x) = frac{x^p}{x^p + int_0^1 f(x) x^p , dx }.$$



It's not as simple as finding lots of fixed points for each $x$ in isolation, as the value of the expression at a single $x$ depends on the entire function $f$. Any help to try and solve this type of thing numerically would be much appreciated.










share|improve this question











$endgroup$








  • 1




    $begingroup$
    I can think of multiple ways to go about this: -discretize your function by representing it by a vector and solve the discretized problem as an approximation. Then this might result in a finite dimensional Eigenvalue problem which can be solved with Eigensystem or NDEigensystem. -use Interpolation as function representation and sample and reinterpolate after each iteration. - use a variational approach to find the fixed point, perhaps the VariationalMethods package can help with that.
    $endgroup$
    – Thies Heidecke
    Jan 3 at 13:47






  • 1




    $begingroup$
    - perhaps the problem can be stated as an ordinary differential equation and either be directly solved by DSolve, numerically by NDSolve or iteratively by a Picard iteration. I'm not sure if all of those methods can successfully tackle your problem, but all those alleys could be explored in Mathematica. Hope this gives you some ideas! When you try something and need further help, update your question with Mathematica code and specific questions, so that people can help you with the details.
    $endgroup$
    – Thies Heidecke
    Jan 3 at 13:49








  • 5




    $begingroup$
    The following should work: replace the integral with $c$. Solve for $f(x)$. Compute the integral as a function of $c$. Set the integral equal to $c$ and solve for $c$.
    $endgroup$
    – Lukas Lang
    Jan 3 at 14:08










  • $begingroup$
    Thank you very much for these suggestions. I have tried the ODE approach. I don't think that it can be transformed into an ODE as I don't see a way to remove the integral. The ratio means it can't be transformed into a Fredholm equation, for which code already exists to numerically solve. I will try discretizing in line with the great answer below. And I am a little lost by your suggestion, Lukas, although I will try work through it as well.
    $endgroup$
    – user434180
    Jan 3 at 14:38












  • $begingroup$
    @LukasLang Great idea, this seems like the most simple and best approach!
    $endgroup$
    – Thies Heidecke
    Jan 3 at 15:09














7












7








7


3



$begingroup$


I am looking for some tips or guidance as to what machinery in mathematica can help me get at this problem numerically. I am looking for fixed points of a mapping, but the objects in question are themselves functions. Hence I am looking for a fixed point function.



The setup (simplified version):
suppose we restrict our search to continuous functions $f: [0,1]rightarrow [0,1]$. $p$ is a known parameter. I am looking for a fixed point (function) such that, for all $xin [0,1]$, $f(x)$ solves



$$f(x) = frac{x^p}{x^p + int_0^1 f(x) x^p , dx }.$$



It's not as simple as finding lots of fixed points for each $x$ in isolation, as the value of the expression at a single $x$ depends on the entire function $f$. Any help to try and solve this type of thing numerically would be much appreciated.










share|improve this question











$endgroup$




I am looking for some tips or guidance as to what machinery in mathematica can help me get at this problem numerically. I am looking for fixed points of a mapping, but the objects in question are themselves functions. Hence I am looking for a fixed point function.



The setup (simplified version):
suppose we restrict our search to continuous functions $f: [0,1]rightarrow [0,1]$. $p$ is a known parameter. I am looking for a fixed point (function) such that, for all $xin [0,1]$, $f(x)$ solves



$$f(x) = frac{x^p}{x^p + int_0^1 f(x) x^p , dx }.$$



It's not as simple as finding lots of fixed points for each $x$ in isolation, as the value of the expression at a single $x$ depends on the entire function $f$. Any help to try and solve this type of thing numerically would be much appreciated.







numerical-integration parametric-functions numerical-value fixed-points






share|improve this question















share|improve this question













share|improve this question




share|improve this question








edited Jan 3 at 13:43







user434180

















asked Jan 3 at 13:30









user434180user434180

362




362








  • 1




    $begingroup$
    I can think of multiple ways to go about this: -discretize your function by representing it by a vector and solve the discretized problem as an approximation. Then this might result in a finite dimensional Eigenvalue problem which can be solved with Eigensystem or NDEigensystem. -use Interpolation as function representation and sample and reinterpolate after each iteration. - use a variational approach to find the fixed point, perhaps the VariationalMethods package can help with that.
    $endgroup$
    – Thies Heidecke
    Jan 3 at 13:47






  • 1




    $begingroup$
    - perhaps the problem can be stated as an ordinary differential equation and either be directly solved by DSolve, numerically by NDSolve or iteratively by a Picard iteration. I'm not sure if all of those methods can successfully tackle your problem, but all those alleys could be explored in Mathematica. Hope this gives you some ideas! When you try something and need further help, update your question with Mathematica code and specific questions, so that people can help you with the details.
    $endgroup$
    – Thies Heidecke
    Jan 3 at 13:49








  • 5




    $begingroup$
    The following should work: replace the integral with $c$. Solve for $f(x)$. Compute the integral as a function of $c$. Set the integral equal to $c$ and solve for $c$.
    $endgroup$
    – Lukas Lang
    Jan 3 at 14:08










  • $begingroup$
    Thank you very much for these suggestions. I have tried the ODE approach. I don't think that it can be transformed into an ODE as I don't see a way to remove the integral. The ratio means it can't be transformed into a Fredholm equation, for which code already exists to numerically solve. I will try discretizing in line with the great answer below. And I am a little lost by your suggestion, Lukas, although I will try work through it as well.
    $endgroup$
    – user434180
    Jan 3 at 14:38












  • $begingroup$
    @LukasLang Great idea, this seems like the most simple and best approach!
    $endgroup$
    – Thies Heidecke
    Jan 3 at 15:09














  • 1




    $begingroup$
    I can think of multiple ways to go about this: -discretize your function by representing it by a vector and solve the discretized problem as an approximation. Then this might result in a finite dimensional Eigenvalue problem which can be solved with Eigensystem or NDEigensystem. -use Interpolation as function representation and sample and reinterpolate after each iteration. - use a variational approach to find the fixed point, perhaps the VariationalMethods package can help with that.
    $endgroup$
    – Thies Heidecke
    Jan 3 at 13:47






  • 1




    $begingroup$
    - perhaps the problem can be stated as an ordinary differential equation and either be directly solved by DSolve, numerically by NDSolve or iteratively by a Picard iteration. I'm not sure if all of those methods can successfully tackle your problem, but all those alleys could be explored in Mathematica. Hope this gives you some ideas! When you try something and need further help, update your question with Mathematica code and specific questions, so that people can help you with the details.
    $endgroup$
    – Thies Heidecke
    Jan 3 at 13:49








  • 5




    $begingroup$
    The following should work: replace the integral with $c$. Solve for $f(x)$. Compute the integral as a function of $c$. Set the integral equal to $c$ and solve for $c$.
    $endgroup$
    – Lukas Lang
    Jan 3 at 14:08










  • $begingroup$
    Thank you very much for these suggestions. I have tried the ODE approach. I don't think that it can be transformed into an ODE as I don't see a way to remove the integral. The ratio means it can't be transformed into a Fredholm equation, for which code already exists to numerically solve. I will try discretizing in line with the great answer below. And I am a little lost by your suggestion, Lukas, although I will try work through it as well.
    $endgroup$
    – user434180
    Jan 3 at 14:38












  • $begingroup$
    @LukasLang Great idea, this seems like the most simple and best approach!
    $endgroup$
    – Thies Heidecke
    Jan 3 at 15:09








1




1




$begingroup$
I can think of multiple ways to go about this: -discretize your function by representing it by a vector and solve the discretized problem as an approximation. Then this might result in a finite dimensional Eigenvalue problem which can be solved with Eigensystem or NDEigensystem. -use Interpolation as function representation and sample and reinterpolate after each iteration. - use a variational approach to find the fixed point, perhaps the VariationalMethods package can help with that.
$endgroup$
– Thies Heidecke
Jan 3 at 13:47




$begingroup$
I can think of multiple ways to go about this: -discretize your function by representing it by a vector and solve the discretized problem as an approximation. Then this might result in a finite dimensional Eigenvalue problem which can be solved with Eigensystem or NDEigensystem. -use Interpolation as function representation and sample and reinterpolate after each iteration. - use a variational approach to find the fixed point, perhaps the VariationalMethods package can help with that.
$endgroup$
– Thies Heidecke
Jan 3 at 13:47




1




1




$begingroup$
- perhaps the problem can be stated as an ordinary differential equation and either be directly solved by DSolve, numerically by NDSolve or iteratively by a Picard iteration. I'm not sure if all of those methods can successfully tackle your problem, but all those alleys could be explored in Mathematica. Hope this gives you some ideas! When you try something and need further help, update your question with Mathematica code and specific questions, so that people can help you with the details.
$endgroup$
– Thies Heidecke
Jan 3 at 13:49






$begingroup$
- perhaps the problem can be stated as an ordinary differential equation and either be directly solved by DSolve, numerically by NDSolve or iteratively by a Picard iteration. I'm not sure if all of those methods can successfully tackle your problem, but all those alleys could be explored in Mathematica. Hope this gives you some ideas! When you try something and need further help, update your question with Mathematica code and specific questions, so that people can help you with the details.
$endgroup$
– Thies Heidecke
Jan 3 at 13:49






5




5




$begingroup$
The following should work: replace the integral with $c$. Solve for $f(x)$. Compute the integral as a function of $c$. Set the integral equal to $c$ and solve for $c$.
$endgroup$
– Lukas Lang
Jan 3 at 14:08




$begingroup$
The following should work: replace the integral with $c$. Solve for $f(x)$. Compute the integral as a function of $c$. Set the integral equal to $c$ and solve for $c$.
$endgroup$
– Lukas Lang
Jan 3 at 14:08












$begingroup$
Thank you very much for these suggestions. I have tried the ODE approach. I don't think that it can be transformed into an ODE as I don't see a way to remove the integral. The ratio means it can't be transformed into a Fredholm equation, for which code already exists to numerically solve. I will try discretizing in line with the great answer below. And I am a little lost by your suggestion, Lukas, although I will try work through it as well.
$endgroup$
– user434180
Jan 3 at 14:38






$begingroup$
Thank you very much for these suggestions. I have tried the ODE approach. I don't think that it can be transformed into an ODE as I don't see a way to remove the integral. The ratio means it can't be transformed into a Fredholm equation, for which code already exists to numerically solve. I will try discretizing in line with the great answer below. And I am a little lost by your suggestion, Lukas, although I will try work through it as well.
$endgroup$
– user434180
Jan 3 at 14:38














$begingroup$
@LukasLang Great idea, this seems like the most simple and best approach!
$endgroup$
– Thies Heidecke
Jan 3 at 15:09




$begingroup$
@LukasLang Great idea, this seems like the most simple and best approach!
$endgroup$
– Thies Heidecke
Jan 3 at 15:09










5 Answers
5






active

oldest

votes


















6












$begingroup$

Just as an addition to @Okkes and @Ulrich's answer following the idea lined out by @LukasLang, we can also start with a symbolic solution of the integral for every p:



Integrate[x^p/(x^p + c) x^p, {x, 0, 1}, Assumptions -> p > 0 && c < -1]



Hypergeometric2F1[1, 2 + 1/p, 3 + 1/p, -(1/c)]/(c + 2 c p)




Here we had to cheat a bit with the assumption c < -1 to get the solution without condition, but we can see, that this is also a valid solution in the region c > 0 which is of interest to us (here for p==2):



Plot[(Hypergeometric2F1[1, 2 + 1/p, 3 + 1/p, -(1/c)]/(c + 2 c p)) /. p -> 2, {c, -2, 2}]


verifying that plot also works for c>0



Next, we can use this solution to construct a function, which can numerically compute the constant c for arbitrary p (like @Okkes showed):



croot[p_?NumericQ] := Re[c /. FindRoot[
Hypergeometric2F1[1, 2 + 1/p, 3 + 1/p, -(1/c)]/(c + 2 c p) == c,
{c, 3/10}]
]


and then our solution will be



solution[p_] := x^p/(x^p + croot[p])


Now we can plot this for a range of p values:



Plot3D[solution[p], {x, 0, 1}, {p, 0.01, 4}, AxesLabel -> {"x", "p"}, MeshFunctions -> {#2 &}]


Function plot for different values of p



An interesting observation is, that f[x] seems to tend to a constant value as p tends to zero. With our symbolic solution from earlier we can determine that this value



Limit[Hypergeometric2F1[1, 2 + 1/p, 3 + 1/p, -(1/c)]/(c + 2 c p) - c, p -> 0, Direction -> -1] == 0
% && c > 0 // Solve
Limit[x^p/(x^p + c) /. First[%], p -> 0, Direction -> -1]
% // N



-((-1 + c + c^2)/(1 + c)) == 0



{{c -> 1/2 (-1 + Sqrt[5])}}



-(1/2) + Sqrt[5]/2



0.618034




is the golden ratio! :)






share|improve this answer











$endgroup$





















    5












    $begingroup$

    supplement



    The list of fixpoint-functions can be obtained strictly numerical (variable p) using Nintegrate:



    int[c_?NumericQ, p_?NumericQ] :=NIntegrate[x^(2 p)/(x^p + c), {x, 0, 1}, Method -> "LocalAdaptive"   ]    

    f[Infinity] =Table[ x^ p /(x^p + c) /.NMinimize[{1, c == int[c, p]}, c][[2]] , {p, 1, 5}]
    (*{x/(0.323829 + x), x^2/(0.227879 + x^2), x^3/(0.1782 + x^3)
    , x^4/(0.147254 + x^4), x^5/(0.125923 + x^5)}*)

    Plot[f[Infinity], {x, 0, 1}, PlotRange -> {0, 1}]


    enter image description here






    share|improve this answer









    $endgroup$













    • $begingroup$
      This is a very helpful addition. I was about to comment on Henrik's answer that it requires the integral to be analytically solvable by mathematica. Although the one I posted in the question is solvable, the actual ones I care about are generally not. So this is very useful. Thanks!
      $endgroup$
      – user434180
      Jan 3 at 16:42





















    5












    $begingroup$

    I believe this is @Lucas suggestions in the comment.



        ClearAll[p, c]
    p = 2;
    f[x_] := x^p/(x^p + c)

    c = c /. Quiet@FindRoot[NIntegrate[f[x] x^p, {x, 0, 1}] == c, {c, 1}]



    0.227879




    fixedPoints = NSolve[f[x] == x, x]



    {{x -> 0.64873}, {x -> 0.35127}, {x -> 0.}}




     Plot[{f[x], x}, {x, 0, 1}, AspectRatio -> 1, Frame -> True, 
    GridLines -> {Flatten@Values@fixedPoints,
    Flatten@Values@fixedPoints}]


    enter image description here



    @Thies's observation can be done analytically.



    Set p=0. Then, $f(x) = frac{1}{1+ c }$ where $c=int_0^1 f(x) , dx$



    $c=int_0^1 frac{1}{1+ c } , dx$



    $c= frac{1}{1+ c }x|_0^1 $



    $c= frac{1}{1+ c } $



    $c^2+c-1= 0 $



    $c= frac{-1mpsqrt{5}}{2} $






    share|improve this answer











    $endgroup$













    • $begingroup$
      FixedPoint appears to be faster than NSolve for this.
      $endgroup$
      – Alan
      Jan 3 at 16:37



















    4












    $begingroup$

    This uses a discretization by piecewise-linear functions.



    n = 1000;
    x = Subdivide[0., 1., n - 1];
    p = 2;
    (* quadrature weights for trapezoidal rule *)
    ω = ConstantArray[1./(n - 1), n];
    ω[[1]] = ω[[n]] = 0.5/(n - 1);


    Applying fixed point iteration; I use Dot and ω to compute the integral:



    data = FixedPointList[
    f [Function] x^p/(x^p + (x^p f).ω),
    ConstantArray[0.5, n]
    ];


    Checking the $L^infty$ error:



    Max[Abs[step[data[[-1]]] - data[[-1]]]]



    2.22045*10^-16




    Plotting the iterates:



    ListLinePlot[
    data,
    PlotLegends -> Automatic
    ]


    enter image description here






    share|improve this answer









    $endgroup$





















      0












      $begingroup$

      Another method



      k = 20; int[0] = NIntegrate[x^p, {x, 0, 1}]; 
      f[i_, x_] := x^p/(x^p + int[i])
      Table[
      Do[int[i] = NIntegrate[f[i - 1, x]*x^p, {x, 0, 1}]; kp = i;
      If[Abs[int[i] - int[i - 1]] > 10^-6, Continue, Break], {i, 1,
      k}]; x^p/(x^p + int[kp]), {p, 2, 7}]

      (* {x^2/(0.227879 + x^2), x^3/(0.1782 + x^3), x^4/(
      0.147254 + x^4), x^5/(0.125923 + x^5), x^6/(0.110239 + x^6), x^7/(
      0.0981784 + x^7)}*)


      For p=7



      {ListPlot[Table[{i, int[i]}, {i, 0, kp}], PlotRange -> All], 
      Plot[Evaluate[Table[f[i, x], {i, 1, kp}]], {x, 0, 1}],
      Plot[f[kp, x], {x, 0, 1}]}


      fig1






      share|improve this answer









      $endgroup$













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        5 Answers
        5






        active

        oldest

        votes








        5 Answers
        5






        active

        oldest

        votes









        active

        oldest

        votes






        active

        oldest

        votes









        6












        $begingroup$

        Just as an addition to @Okkes and @Ulrich's answer following the idea lined out by @LukasLang, we can also start with a symbolic solution of the integral for every p:



        Integrate[x^p/(x^p + c) x^p, {x, 0, 1}, Assumptions -> p > 0 && c < -1]



        Hypergeometric2F1[1, 2 + 1/p, 3 + 1/p, -(1/c)]/(c + 2 c p)




        Here we had to cheat a bit with the assumption c < -1 to get the solution without condition, but we can see, that this is also a valid solution in the region c > 0 which is of interest to us (here for p==2):



        Plot[(Hypergeometric2F1[1, 2 + 1/p, 3 + 1/p, -(1/c)]/(c + 2 c p)) /. p -> 2, {c, -2, 2}]


        verifying that plot also works for c>0



        Next, we can use this solution to construct a function, which can numerically compute the constant c for arbitrary p (like @Okkes showed):



        croot[p_?NumericQ] := Re[c /. FindRoot[
        Hypergeometric2F1[1, 2 + 1/p, 3 + 1/p, -(1/c)]/(c + 2 c p) == c,
        {c, 3/10}]
        ]


        and then our solution will be



        solution[p_] := x^p/(x^p + croot[p])


        Now we can plot this for a range of p values:



        Plot3D[solution[p], {x, 0, 1}, {p, 0.01, 4}, AxesLabel -> {"x", "p"}, MeshFunctions -> {#2 &}]


        Function plot for different values of p



        An interesting observation is, that f[x] seems to tend to a constant value as p tends to zero. With our symbolic solution from earlier we can determine that this value



        Limit[Hypergeometric2F1[1, 2 + 1/p, 3 + 1/p, -(1/c)]/(c + 2 c p) - c, p -> 0, Direction -> -1] == 0
        % && c > 0 // Solve
        Limit[x^p/(x^p + c) /. First[%], p -> 0, Direction -> -1]
        % // N



        -((-1 + c + c^2)/(1 + c)) == 0



        {{c -> 1/2 (-1 + Sqrt[5])}}



        -(1/2) + Sqrt[5]/2



        0.618034




        is the golden ratio! :)






        share|improve this answer











        $endgroup$


















          6












          $begingroup$

          Just as an addition to @Okkes and @Ulrich's answer following the idea lined out by @LukasLang, we can also start with a symbolic solution of the integral for every p:



          Integrate[x^p/(x^p + c) x^p, {x, 0, 1}, Assumptions -> p > 0 && c < -1]



          Hypergeometric2F1[1, 2 + 1/p, 3 + 1/p, -(1/c)]/(c + 2 c p)




          Here we had to cheat a bit with the assumption c < -1 to get the solution without condition, but we can see, that this is also a valid solution in the region c > 0 which is of interest to us (here for p==2):



          Plot[(Hypergeometric2F1[1, 2 + 1/p, 3 + 1/p, -(1/c)]/(c + 2 c p)) /. p -> 2, {c, -2, 2}]


          verifying that plot also works for c>0



          Next, we can use this solution to construct a function, which can numerically compute the constant c for arbitrary p (like @Okkes showed):



          croot[p_?NumericQ] := Re[c /. FindRoot[
          Hypergeometric2F1[1, 2 + 1/p, 3 + 1/p, -(1/c)]/(c + 2 c p) == c,
          {c, 3/10}]
          ]


          and then our solution will be



          solution[p_] := x^p/(x^p + croot[p])


          Now we can plot this for a range of p values:



          Plot3D[solution[p], {x, 0, 1}, {p, 0.01, 4}, AxesLabel -> {"x", "p"}, MeshFunctions -> {#2 &}]


          Function plot for different values of p



          An interesting observation is, that f[x] seems to tend to a constant value as p tends to zero. With our symbolic solution from earlier we can determine that this value



          Limit[Hypergeometric2F1[1, 2 + 1/p, 3 + 1/p, -(1/c)]/(c + 2 c p) - c, p -> 0, Direction -> -1] == 0
          % && c > 0 // Solve
          Limit[x^p/(x^p + c) /. First[%], p -> 0, Direction -> -1]
          % // N



          -((-1 + c + c^2)/(1 + c)) == 0



          {{c -> 1/2 (-1 + Sqrt[5])}}



          -(1/2) + Sqrt[5]/2



          0.618034




          is the golden ratio! :)






          share|improve this answer











          $endgroup$
















            6












            6








            6





            $begingroup$

            Just as an addition to @Okkes and @Ulrich's answer following the idea lined out by @LukasLang, we can also start with a symbolic solution of the integral for every p:



            Integrate[x^p/(x^p + c) x^p, {x, 0, 1}, Assumptions -> p > 0 && c < -1]



            Hypergeometric2F1[1, 2 + 1/p, 3 + 1/p, -(1/c)]/(c + 2 c p)




            Here we had to cheat a bit with the assumption c < -1 to get the solution without condition, but we can see, that this is also a valid solution in the region c > 0 which is of interest to us (here for p==2):



            Plot[(Hypergeometric2F1[1, 2 + 1/p, 3 + 1/p, -(1/c)]/(c + 2 c p)) /. p -> 2, {c, -2, 2}]


            verifying that plot also works for c>0



            Next, we can use this solution to construct a function, which can numerically compute the constant c for arbitrary p (like @Okkes showed):



            croot[p_?NumericQ] := Re[c /. FindRoot[
            Hypergeometric2F1[1, 2 + 1/p, 3 + 1/p, -(1/c)]/(c + 2 c p) == c,
            {c, 3/10}]
            ]


            and then our solution will be



            solution[p_] := x^p/(x^p + croot[p])


            Now we can plot this for a range of p values:



            Plot3D[solution[p], {x, 0, 1}, {p, 0.01, 4}, AxesLabel -> {"x", "p"}, MeshFunctions -> {#2 &}]


            Function plot for different values of p



            An interesting observation is, that f[x] seems to tend to a constant value as p tends to zero. With our symbolic solution from earlier we can determine that this value



            Limit[Hypergeometric2F1[1, 2 + 1/p, 3 + 1/p, -(1/c)]/(c + 2 c p) - c, p -> 0, Direction -> -1] == 0
            % && c > 0 // Solve
            Limit[x^p/(x^p + c) /. First[%], p -> 0, Direction -> -1]
            % // N



            -((-1 + c + c^2)/(1 + c)) == 0



            {{c -> 1/2 (-1 + Sqrt[5])}}



            -(1/2) + Sqrt[5]/2



            0.618034




            is the golden ratio! :)






            share|improve this answer











            $endgroup$



            Just as an addition to @Okkes and @Ulrich's answer following the idea lined out by @LukasLang, we can also start with a symbolic solution of the integral for every p:



            Integrate[x^p/(x^p + c) x^p, {x, 0, 1}, Assumptions -> p > 0 && c < -1]



            Hypergeometric2F1[1, 2 + 1/p, 3 + 1/p, -(1/c)]/(c + 2 c p)




            Here we had to cheat a bit with the assumption c < -1 to get the solution without condition, but we can see, that this is also a valid solution in the region c > 0 which is of interest to us (here for p==2):



            Plot[(Hypergeometric2F1[1, 2 + 1/p, 3 + 1/p, -(1/c)]/(c + 2 c p)) /. p -> 2, {c, -2, 2}]


            verifying that plot also works for c>0



            Next, we can use this solution to construct a function, which can numerically compute the constant c for arbitrary p (like @Okkes showed):



            croot[p_?NumericQ] := Re[c /. FindRoot[
            Hypergeometric2F1[1, 2 + 1/p, 3 + 1/p, -(1/c)]/(c + 2 c p) == c,
            {c, 3/10}]
            ]


            and then our solution will be



            solution[p_] := x^p/(x^p + croot[p])


            Now we can plot this for a range of p values:



            Plot3D[solution[p], {x, 0, 1}, {p, 0.01, 4}, AxesLabel -> {"x", "p"}, MeshFunctions -> {#2 &}]


            Function plot for different values of p



            An interesting observation is, that f[x] seems to tend to a constant value as p tends to zero. With our symbolic solution from earlier we can determine that this value



            Limit[Hypergeometric2F1[1, 2 + 1/p, 3 + 1/p, -(1/c)]/(c + 2 c p) - c, p -> 0, Direction -> -1] == 0
            % && c > 0 // Solve
            Limit[x^p/(x^p + c) /. First[%], p -> 0, Direction -> -1]
            % // N



            -((-1 + c + c^2)/(1 + c)) == 0



            {{c -> 1/2 (-1 + Sqrt[5])}}



            -(1/2) + Sqrt[5]/2



            0.618034




            is the golden ratio! :)







            share|improve this answer














            share|improve this answer



            share|improve this answer








            edited Jan 4 at 2:27

























            answered Jan 3 at 17:14









            Thies HeideckeThies Heidecke

            6,9262538




            6,9262538























                5












                $begingroup$

                supplement



                The list of fixpoint-functions can be obtained strictly numerical (variable p) using Nintegrate:



                int[c_?NumericQ, p_?NumericQ] :=NIntegrate[x^(2 p)/(x^p + c), {x, 0, 1}, Method -> "LocalAdaptive"   ]    

                f[Infinity] =Table[ x^ p /(x^p + c) /.NMinimize[{1, c == int[c, p]}, c][[2]] , {p, 1, 5}]
                (*{x/(0.323829 + x), x^2/(0.227879 + x^2), x^3/(0.1782 + x^3)
                , x^4/(0.147254 + x^4), x^5/(0.125923 + x^5)}*)

                Plot[f[Infinity], {x, 0, 1}, PlotRange -> {0, 1}]


                enter image description here






                share|improve this answer









                $endgroup$













                • $begingroup$
                  This is a very helpful addition. I was about to comment on Henrik's answer that it requires the integral to be analytically solvable by mathematica. Although the one I posted in the question is solvable, the actual ones I care about are generally not. So this is very useful. Thanks!
                  $endgroup$
                  – user434180
                  Jan 3 at 16:42


















                5












                $begingroup$

                supplement



                The list of fixpoint-functions can be obtained strictly numerical (variable p) using Nintegrate:



                int[c_?NumericQ, p_?NumericQ] :=NIntegrate[x^(2 p)/(x^p + c), {x, 0, 1}, Method -> "LocalAdaptive"   ]    

                f[Infinity] =Table[ x^ p /(x^p + c) /.NMinimize[{1, c == int[c, p]}, c][[2]] , {p, 1, 5}]
                (*{x/(0.323829 + x), x^2/(0.227879 + x^2), x^3/(0.1782 + x^3)
                , x^4/(0.147254 + x^4), x^5/(0.125923 + x^5)}*)

                Plot[f[Infinity], {x, 0, 1}, PlotRange -> {0, 1}]


                enter image description here






                share|improve this answer









                $endgroup$













                • $begingroup$
                  This is a very helpful addition. I was about to comment on Henrik's answer that it requires the integral to be analytically solvable by mathematica. Although the one I posted in the question is solvable, the actual ones I care about are generally not. So this is very useful. Thanks!
                  $endgroup$
                  – user434180
                  Jan 3 at 16:42
















                5












                5








                5





                $begingroup$

                supplement



                The list of fixpoint-functions can be obtained strictly numerical (variable p) using Nintegrate:



                int[c_?NumericQ, p_?NumericQ] :=NIntegrate[x^(2 p)/(x^p + c), {x, 0, 1}, Method -> "LocalAdaptive"   ]    

                f[Infinity] =Table[ x^ p /(x^p + c) /.NMinimize[{1, c == int[c, p]}, c][[2]] , {p, 1, 5}]
                (*{x/(0.323829 + x), x^2/(0.227879 + x^2), x^3/(0.1782 + x^3)
                , x^4/(0.147254 + x^4), x^5/(0.125923 + x^5)}*)

                Plot[f[Infinity], {x, 0, 1}, PlotRange -> {0, 1}]


                enter image description here






                share|improve this answer









                $endgroup$



                supplement



                The list of fixpoint-functions can be obtained strictly numerical (variable p) using Nintegrate:



                int[c_?NumericQ, p_?NumericQ] :=NIntegrate[x^(2 p)/(x^p + c), {x, 0, 1}, Method -> "LocalAdaptive"   ]    

                f[Infinity] =Table[ x^ p /(x^p + c) /.NMinimize[{1, c == int[c, p]}, c][[2]] , {p, 1, 5}]
                (*{x/(0.323829 + x), x^2/(0.227879 + x^2), x^3/(0.1782 + x^3)
                , x^4/(0.147254 + x^4), x^5/(0.125923 + x^5)}*)

                Plot[f[Infinity], {x, 0, 1}, PlotRange -> {0, 1}]


                enter image description here







                share|improve this answer












                share|improve this answer



                share|improve this answer










                answered Jan 3 at 16:39









                Ulrich NeumannUlrich Neumann

                7,960516




                7,960516












                • $begingroup$
                  This is a very helpful addition. I was about to comment on Henrik's answer that it requires the integral to be analytically solvable by mathematica. Although the one I posted in the question is solvable, the actual ones I care about are generally not. So this is very useful. Thanks!
                  $endgroup$
                  – user434180
                  Jan 3 at 16:42




















                • $begingroup$
                  This is a very helpful addition. I was about to comment on Henrik's answer that it requires the integral to be analytically solvable by mathematica. Although the one I posted in the question is solvable, the actual ones I care about are generally not. So this is very useful. Thanks!
                  $endgroup$
                  – user434180
                  Jan 3 at 16:42


















                $begingroup$
                This is a very helpful addition. I was about to comment on Henrik's answer that it requires the integral to be analytically solvable by mathematica. Although the one I posted in the question is solvable, the actual ones I care about are generally not. So this is very useful. Thanks!
                $endgroup$
                – user434180
                Jan 3 at 16:42






                $begingroup$
                This is a very helpful addition. I was about to comment on Henrik's answer that it requires the integral to be analytically solvable by mathematica. Although the one I posted in the question is solvable, the actual ones I care about are generally not. So this is very useful. Thanks!
                $endgroup$
                – user434180
                Jan 3 at 16:42













                5












                $begingroup$

                I believe this is @Lucas suggestions in the comment.



                    ClearAll[p, c]
                p = 2;
                f[x_] := x^p/(x^p + c)

                c = c /. Quiet@FindRoot[NIntegrate[f[x] x^p, {x, 0, 1}] == c, {c, 1}]



                0.227879




                fixedPoints = NSolve[f[x] == x, x]



                {{x -> 0.64873}, {x -> 0.35127}, {x -> 0.}}




                 Plot[{f[x], x}, {x, 0, 1}, AspectRatio -> 1, Frame -> True, 
                GridLines -> {Flatten@Values@fixedPoints,
                Flatten@Values@fixedPoints}]


                enter image description here



                @Thies's observation can be done analytically.



                Set p=0. Then, $f(x) = frac{1}{1+ c }$ where $c=int_0^1 f(x) , dx$



                $c=int_0^1 frac{1}{1+ c } , dx$



                $c= frac{1}{1+ c }x|_0^1 $



                $c= frac{1}{1+ c } $



                $c^2+c-1= 0 $



                $c= frac{-1mpsqrt{5}}{2} $






                share|improve this answer











                $endgroup$













                • $begingroup$
                  FixedPoint appears to be faster than NSolve for this.
                  $endgroup$
                  – Alan
                  Jan 3 at 16:37
















                5












                $begingroup$

                I believe this is @Lucas suggestions in the comment.



                    ClearAll[p, c]
                p = 2;
                f[x_] := x^p/(x^p + c)

                c = c /. Quiet@FindRoot[NIntegrate[f[x] x^p, {x, 0, 1}] == c, {c, 1}]



                0.227879




                fixedPoints = NSolve[f[x] == x, x]



                {{x -> 0.64873}, {x -> 0.35127}, {x -> 0.}}




                 Plot[{f[x], x}, {x, 0, 1}, AspectRatio -> 1, Frame -> True, 
                GridLines -> {Flatten@Values@fixedPoints,
                Flatten@Values@fixedPoints}]


                enter image description here



                @Thies's observation can be done analytically.



                Set p=0. Then, $f(x) = frac{1}{1+ c }$ where $c=int_0^1 f(x) , dx$



                $c=int_0^1 frac{1}{1+ c } , dx$



                $c= frac{1}{1+ c }x|_0^1 $



                $c= frac{1}{1+ c } $



                $c^2+c-1= 0 $



                $c= frac{-1mpsqrt{5}}{2} $






                share|improve this answer











                $endgroup$













                • $begingroup$
                  FixedPoint appears to be faster than NSolve for this.
                  $endgroup$
                  – Alan
                  Jan 3 at 16:37














                5












                5








                5





                $begingroup$

                I believe this is @Lucas suggestions in the comment.



                    ClearAll[p, c]
                p = 2;
                f[x_] := x^p/(x^p + c)

                c = c /. Quiet@FindRoot[NIntegrate[f[x] x^p, {x, 0, 1}] == c, {c, 1}]



                0.227879




                fixedPoints = NSolve[f[x] == x, x]



                {{x -> 0.64873}, {x -> 0.35127}, {x -> 0.}}




                 Plot[{f[x], x}, {x, 0, 1}, AspectRatio -> 1, Frame -> True, 
                GridLines -> {Flatten@Values@fixedPoints,
                Flatten@Values@fixedPoints}]


                enter image description here



                @Thies's observation can be done analytically.



                Set p=0. Then, $f(x) = frac{1}{1+ c }$ where $c=int_0^1 f(x) , dx$



                $c=int_0^1 frac{1}{1+ c } , dx$



                $c= frac{1}{1+ c }x|_0^1 $



                $c= frac{1}{1+ c } $



                $c^2+c-1= 0 $



                $c= frac{-1mpsqrt{5}}{2} $






                share|improve this answer











                $endgroup$



                I believe this is @Lucas suggestions in the comment.



                    ClearAll[p, c]
                p = 2;
                f[x_] := x^p/(x^p + c)

                c = c /. Quiet@FindRoot[NIntegrate[f[x] x^p, {x, 0, 1}] == c, {c, 1}]



                0.227879




                fixedPoints = NSolve[f[x] == x, x]



                {{x -> 0.64873}, {x -> 0.35127}, {x -> 0.}}




                 Plot[{f[x], x}, {x, 0, 1}, AspectRatio -> 1, Frame -> True, 
                GridLines -> {Flatten@Values@fixedPoints,
                Flatten@Values@fixedPoints}]


                enter image description here



                @Thies's observation can be done analytically.



                Set p=0. Then, $f(x) = frac{1}{1+ c }$ where $c=int_0^1 f(x) , dx$



                $c=int_0^1 frac{1}{1+ c } , dx$



                $c= frac{1}{1+ c }x|_0^1 $



                $c= frac{1}{1+ c } $



                $c^2+c-1= 0 $



                $c= frac{-1mpsqrt{5}}{2} $







                share|improve this answer














                share|improve this answer



                share|improve this answer








                edited Jan 4 at 5:01

























                answered Jan 3 at 14:58









                Okkes DulgerciOkkes Dulgerci

                4,4251817




                4,4251817












                • $begingroup$
                  FixedPoint appears to be faster than NSolve for this.
                  $endgroup$
                  – Alan
                  Jan 3 at 16:37


















                • $begingroup$
                  FixedPoint appears to be faster than NSolve for this.
                  $endgroup$
                  – Alan
                  Jan 3 at 16:37
















                $begingroup$
                FixedPoint appears to be faster than NSolve for this.
                $endgroup$
                – Alan
                Jan 3 at 16:37




                $begingroup$
                FixedPoint appears to be faster than NSolve for this.
                $endgroup$
                – Alan
                Jan 3 at 16:37











                4












                $begingroup$

                This uses a discretization by piecewise-linear functions.



                n = 1000;
                x = Subdivide[0., 1., n - 1];
                p = 2;
                (* quadrature weights for trapezoidal rule *)
                ω = ConstantArray[1./(n - 1), n];
                ω[[1]] = ω[[n]] = 0.5/(n - 1);


                Applying fixed point iteration; I use Dot and ω to compute the integral:



                data = FixedPointList[
                f [Function] x^p/(x^p + (x^p f).ω),
                ConstantArray[0.5, n]
                ];


                Checking the $L^infty$ error:



                Max[Abs[step[data[[-1]]] - data[[-1]]]]



                2.22045*10^-16




                Plotting the iterates:



                ListLinePlot[
                data,
                PlotLegends -> Automatic
                ]


                enter image description here






                share|improve this answer









                $endgroup$


















                  4












                  $begingroup$

                  This uses a discretization by piecewise-linear functions.



                  n = 1000;
                  x = Subdivide[0., 1., n - 1];
                  p = 2;
                  (* quadrature weights for trapezoidal rule *)
                  ω = ConstantArray[1./(n - 1), n];
                  ω[[1]] = ω[[n]] = 0.5/(n - 1);


                  Applying fixed point iteration; I use Dot and ω to compute the integral:



                  data = FixedPointList[
                  f [Function] x^p/(x^p + (x^p f).ω),
                  ConstantArray[0.5, n]
                  ];


                  Checking the $L^infty$ error:



                  Max[Abs[step[data[[-1]]] - data[[-1]]]]



                  2.22045*10^-16




                  Plotting the iterates:



                  ListLinePlot[
                  data,
                  PlotLegends -> Automatic
                  ]


                  enter image description here






                  share|improve this answer









                  $endgroup$
















                    4












                    4








                    4





                    $begingroup$

                    This uses a discretization by piecewise-linear functions.



                    n = 1000;
                    x = Subdivide[0., 1., n - 1];
                    p = 2;
                    (* quadrature weights for trapezoidal rule *)
                    ω = ConstantArray[1./(n - 1), n];
                    ω[[1]] = ω[[n]] = 0.5/(n - 1);


                    Applying fixed point iteration; I use Dot and ω to compute the integral:



                    data = FixedPointList[
                    f [Function] x^p/(x^p + (x^p f).ω),
                    ConstantArray[0.5, n]
                    ];


                    Checking the $L^infty$ error:



                    Max[Abs[step[data[[-1]]] - data[[-1]]]]



                    2.22045*10^-16




                    Plotting the iterates:



                    ListLinePlot[
                    data,
                    PlotLegends -> Automatic
                    ]


                    enter image description here






                    share|improve this answer









                    $endgroup$



                    This uses a discretization by piecewise-linear functions.



                    n = 1000;
                    x = Subdivide[0., 1., n - 1];
                    p = 2;
                    (* quadrature weights for trapezoidal rule *)
                    ω = ConstantArray[1./(n - 1), n];
                    ω[[1]] = ω[[n]] = 0.5/(n - 1);


                    Applying fixed point iteration; I use Dot and ω to compute the integral:



                    data = FixedPointList[
                    f [Function] x^p/(x^p + (x^p f).ω),
                    ConstantArray[0.5, n]
                    ];


                    Checking the $L^infty$ error:



                    Max[Abs[step[data[[-1]]] - data[[-1]]]]



                    2.22045*10^-16




                    Plotting the iterates:



                    ListLinePlot[
                    data,
                    PlotLegends -> Automatic
                    ]


                    enter image description here







                    share|improve this answer












                    share|improve this answer



                    share|improve this answer










                    answered Jan 3 at 14:16









                    Henrik SchumacherHenrik Schumacher

                    50.7k469145




                    50.7k469145























                        0












                        $begingroup$

                        Another method



                        k = 20; int[0] = NIntegrate[x^p, {x, 0, 1}]; 
                        f[i_, x_] := x^p/(x^p + int[i])
                        Table[
                        Do[int[i] = NIntegrate[f[i - 1, x]*x^p, {x, 0, 1}]; kp = i;
                        If[Abs[int[i] - int[i - 1]] > 10^-6, Continue, Break], {i, 1,
                        k}]; x^p/(x^p + int[kp]), {p, 2, 7}]

                        (* {x^2/(0.227879 + x^2), x^3/(0.1782 + x^3), x^4/(
                        0.147254 + x^4), x^5/(0.125923 + x^5), x^6/(0.110239 + x^6), x^7/(
                        0.0981784 + x^7)}*)


                        For p=7



                        {ListPlot[Table[{i, int[i]}, {i, 0, kp}], PlotRange -> All], 
                        Plot[Evaluate[Table[f[i, x], {i, 1, kp}]], {x, 0, 1}],
                        Plot[f[kp, x], {x, 0, 1}]}


                        fig1






                        share|improve this answer









                        $endgroup$


















                          0












                          $begingroup$

                          Another method



                          k = 20; int[0] = NIntegrate[x^p, {x, 0, 1}]; 
                          f[i_, x_] := x^p/(x^p + int[i])
                          Table[
                          Do[int[i] = NIntegrate[f[i - 1, x]*x^p, {x, 0, 1}]; kp = i;
                          If[Abs[int[i] - int[i - 1]] > 10^-6, Continue, Break], {i, 1,
                          k}]; x^p/(x^p + int[kp]), {p, 2, 7}]

                          (* {x^2/(0.227879 + x^2), x^3/(0.1782 + x^3), x^4/(
                          0.147254 + x^4), x^5/(0.125923 + x^5), x^6/(0.110239 + x^6), x^7/(
                          0.0981784 + x^7)}*)


                          For p=7



                          {ListPlot[Table[{i, int[i]}, {i, 0, kp}], PlotRange -> All], 
                          Plot[Evaluate[Table[f[i, x], {i, 1, kp}]], {x, 0, 1}],
                          Plot[f[kp, x], {x, 0, 1}]}


                          fig1






                          share|improve this answer









                          $endgroup$
















                            0












                            0








                            0





                            $begingroup$

                            Another method



                            k = 20; int[0] = NIntegrate[x^p, {x, 0, 1}]; 
                            f[i_, x_] := x^p/(x^p + int[i])
                            Table[
                            Do[int[i] = NIntegrate[f[i - 1, x]*x^p, {x, 0, 1}]; kp = i;
                            If[Abs[int[i] - int[i - 1]] > 10^-6, Continue, Break], {i, 1,
                            k}]; x^p/(x^p + int[kp]), {p, 2, 7}]

                            (* {x^2/(0.227879 + x^2), x^3/(0.1782 + x^3), x^4/(
                            0.147254 + x^4), x^5/(0.125923 + x^5), x^6/(0.110239 + x^6), x^7/(
                            0.0981784 + x^7)}*)


                            For p=7



                            {ListPlot[Table[{i, int[i]}, {i, 0, kp}], PlotRange -> All], 
                            Plot[Evaluate[Table[f[i, x], {i, 1, kp}]], {x, 0, 1}],
                            Plot[f[kp, x], {x, 0, 1}]}


                            fig1






                            share|improve this answer









                            $endgroup$



                            Another method



                            k = 20; int[0] = NIntegrate[x^p, {x, 0, 1}]; 
                            f[i_, x_] := x^p/(x^p + int[i])
                            Table[
                            Do[int[i] = NIntegrate[f[i - 1, x]*x^p, {x, 0, 1}]; kp = i;
                            If[Abs[int[i] - int[i - 1]] > 10^-6, Continue, Break], {i, 1,
                            k}]; x^p/(x^p + int[kp]), {p, 2, 7}]

                            (* {x^2/(0.227879 + x^2), x^3/(0.1782 + x^3), x^4/(
                            0.147254 + x^4), x^5/(0.125923 + x^5), x^6/(0.110239 + x^6), x^7/(
                            0.0981784 + x^7)}*)


                            For p=7



                            {ListPlot[Table[{i, int[i]}, {i, 0, kp}], PlotRange -> All], 
                            Plot[Evaluate[Table[f[i, x], {i, 1, kp}]], {x, 0, 1}],
                            Plot[f[kp, x], {x, 0, 1}]}


                            fig1







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                            answered Jan 3 at 18:18









                            Alex TrounevAlex Trounev

                            6,4401419




                            6,4401419






























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