Picard's method does not solve first order differential equation?












2














I have the following first order differential equation
$$x^prime(t)=-(x(t))^2+2x(t),quad tgeq 0,quad x(0)=1$$
Now I want to obtain an approximation of $x(t)$ by using Picard's method. Then the first Picard's iterates of this problem are given by:
$$x_1 = x_0 + int_0^t F(s,x_0(s))ds=1+int_0^t -(1)^2+2ds=t+1 $$
$$x_2 = 1+ int_0^t-(s+1)^2+2(s+1)ds=-frac{1}{3}t^3+t+1 $$
$$x_3 = 1+ int_0^t -(-frac{1}{3}s^3+s+1)^2+2(-frac{1}{3}s^3+s+1)ds=-frac{1}{63}t^7 + frac{2}{15}t^5 + -frac{1}{3}t^3 + t+1 $$
This should converge to the true solution of $x(t)$ but when I derive the solution analytically i get the following:
$$x^prime(t)=-(x(t))^2+2x(t)Longleftrightarrow frac{x^prime(t)}{-(x(t))^2+2x(t)}=1$$
Using the fact that:
$$frac{1}{x(2-x)}=frac{1}{2}left(frac{1}{x}+frac{1}{2-x}right) $$
differentiating both sides then yields:
$$int_0^tfrac{x^prime(s)}{x(s)}ds + int_0^t frac{x^prime(s)}{2-x}ds = int_0^t2ds $$
$$Longleftrightarrow ln|x(t)| -ln|2-x(t)|=2t+c_1,quad c_1inmathbb{R} $$
$$Longleftrightarrow frac{x(t)}{2-x(t)} = c_2e^{2t}, quad c_2 = pm e^{c_1}$$
$$Longleftrightarrow x(t) = frac{2e^{2t}}{c_3 + e^{2t}}, quad c_3 = frac{1}{c_2}$$
Combining this with the fact that $x(0)=1$ yields that we have $x(t)$ given by:
$$x(t)=frac{2e^{2t}}{1+e^{2t}}$$
When I plot the functions obtained by the Picard method I get a totally different result then when I plot the above given function of $x(t)$. Why is this? Shouldn't the Picard method converge to its true solution? I also used more Iterations but both methods keep giving a different answer. Does anyone know why this is or am I doing something wrong?










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  • You can solve your equation as Bernoulli equation setting $y=1/x$ so that then $y'=1-2y$ and thus $y=1/2+Ce^{-2t}$, with initial condition $y(0)=1$ you get $c=1/2$ and thus your solution with much less effort.
    – LutzL
    Dec 8 at 13:28
















2














I have the following first order differential equation
$$x^prime(t)=-(x(t))^2+2x(t),quad tgeq 0,quad x(0)=1$$
Now I want to obtain an approximation of $x(t)$ by using Picard's method. Then the first Picard's iterates of this problem are given by:
$$x_1 = x_0 + int_0^t F(s,x_0(s))ds=1+int_0^t -(1)^2+2ds=t+1 $$
$$x_2 = 1+ int_0^t-(s+1)^2+2(s+1)ds=-frac{1}{3}t^3+t+1 $$
$$x_3 = 1+ int_0^t -(-frac{1}{3}s^3+s+1)^2+2(-frac{1}{3}s^3+s+1)ds=-frac{1}{63}t^7 + frac{2}{15}t^5 + -frac{1}{3}t^3 + t+1 $$
This should converge to the true solution of $x(t)$ but when I derive the solution analytically i get the following:
$$x^prime(t)=-(x(t))^2+2x(t)Longleftrightarrow frac{x^prime(t)}{-(x(t))^2+2x(t)}=1$$
Using the fact that:
$$frac{1}{x(2-x)}=frac{1}{2}left(frac{1}{x}+frac{1}{2-x}right) $$
differentiating both sides then yields:
$$int_0^tfrac{x^prime(s)}{x(s)}ds + int_0^t frac{x^prime(s)}{2-x}ds = int_0^t2ds $$
$$Longleftrightarrow ln|x(t)| -ln|2-x(t)|=2t+c_1,quad c_1inmathbb{R} $$
$$Longleftrightarrow frac{x(t)}{2-x(t)} = c_2e^{2t}, quad c_2 = pm e^{c_1}$$
$$Longleftrightarrow x(t) = frac{2e^{2t}}{c_3 + e^{2t}}, quad c_3 = frac{1}{c_2}$$
Combining this with the fact that $x(0)=1$ yields that we have $x(t)$ given by:
$$x(t)=frac{2e^{2t}}{1+e^{2t}}$$
When I plot the functions obtained by the Picard method I get a totally different result then when I plot the above given function of $x(t)$. Why is this? Shouldn't the Picard method converge to its true solution? I also used more Iterations but both methods keep giving a different answer. Does anyone know why this is or am I doing something wrong?










share|cite|improve this question
























  • You can solve your equation as Bernoulli equation setting $y=1/x$ so that then $y'=1-2y$ and thus $y=1/2+Ce^{-2t}$, with initial condition $y(0)=1$ you get $c=1/2$ and thus your solution with much less effort.
    – LutzL
    Dec 8 at 13:28














2












2








2


2





I have the following first order differential equation
$$x^prime(t)=-(x(t))^2+2x(t),quad tgeq 0,quad x(0)=1$$
Now I want to obtain an approximation of $x(t)$ by using Picard's method. Then the first Picard's iterates of this problem are given by:
$$x_1 = x_0 + int_0^t F(s,x_0(s))ds=1+int_0^t -(1)^2+2ds=t+1 $$
$$x_2 = 1+ int_0^t-(s+1)^2+2(s+1)ds=-frac{1}{3}t^3+t+1 $$
$$x_3 = 1+ int_0^t -(-frac{1}{3}s^3+s+1)^2+2(-frac{1}{3}s^3+s+1)ds=-frac{1}{63}t^7 + frac{2}{15}t^5 + -frac{1}{3}t^3 + t+1 $$
This should converge to the true solution of $x(t)$ but when I derive the solution analytically i get the following:
$$x^prime(t)=-(x(t))^2+2x(t)Longleftrightarrow frac{x^prime(t)}{-(x(t))^2+2x(t)}=1$$
Using the fact that:
$$frac{1}{x(2-x)}=frac{1}{2}left(frac{1}{x}+frac{1}{2-x}right) $$
differentiating both sides then yields:
$$int_0^tfrac{x^prime(s)}{x(s)}ds + int_0^t frac{x^prime(s)}{2-x}ds = int_0^t2ds $$
$$Longleftrightarrow ln|x(t)| -ln|2-x(t)|=2t+c_1,quad c_1inmathbb{R} $$
$$Longleftrightarrow frac{x(t)}{2-x(t)} = c_2e^{2t}, quad c_2 = pm e^{c_1}$$
$$Longleftrightarrow x(t) = frac{2e^{2t}}{c_3 + e^{2t}}, quad c_3 = frac{1}{c_2}$$
Combining this with the fact that $x(0)=1$ yields that we have $x(t)$ given by:
$$x(t)=frac{2e^{2t}}{1+e^{2t}}$$
When I plot the functions obtained by the Picard method I get a totally different result then when I plot the above given function of $x(t)$. Why is this? Shouldn't the Picard method converge to its true solution? I also used more Iterations but both methods keep giving a different answer. Does anyone know why this is or am I doing something wrong?










share|cite|improve this question















I have the following first order differential equation
$$x^prime(t)=-(x(t))^2+2x(t),quad tgeq 0,quad x(0)=1$$
Now I want to obtain an approximation of $x(t)$ by using Picard's method. Then the first Picard's iterates of this problem are given by:
$$x_1 = x_0 + int_0^t F(s,x_0(s))ds=1+int_0^t -(1)^2+2ds=t+1 $$
$$x_2 = 1+ int_0^t-(s+1)^2+2(s+1)ds=-frac{1}{3}t^3+t+1 $$
$$x_3 = 1+ int_0^t -(-frac{1}{3}s^3+s+1)^2+2(-frac{1}{3}s^3+s+1)ds=-frac{1}{63}t^7 + frac{2}{15}t^5 + -frac{1}{3}t^3 + t+1 $$
This should converge to the true solution of $x(t)$ but when I derive the solution analytically i get the following:
$$x^prime(t)=-(x(t))^2+2x(t)Longleftrightarrow frac{x^prime(t)}{-(x(t))^2+2x(t)}=1$$
Using the fact that:
$$frac{1}{x(2-x)}=frac{1}{2}left(frac{1}{x}+frac{1}{2-x}right) $$
differentiating both sides then yields:
$$int_0^tfrac{x^prime(s)}{x(s)}ds + int_0^t frac{x^prime(s)}{2-x}ds = int_0^t2ds $$
$$Longleftrightarrow ln|x(t)| -ln|2-x(t)|=2t+c_1,quad c_1inmathbb{R} $$
$$Longleftrightarrow frac{x(t)}{2-x(t)} = c_2e^{2t}, quad c_2 = pm e^{c_1}$$
$$Longleftrightarrow x(t) = frac{2e^{2t}}{c_3 + e^{2t}}, quad c_3 = frac{1}{c_2}$$
Combining this with the fact that $x(0)=1$ yields that we have $x(t)$ given by:
$$x(t)=frac{2e^{2t}}{1+e^{2t}}$$
When I plot the functions obtained by the Picard method I get a totally different result then when I plot the above given function of $x(t)$. Why is this? Shouldn't the Picard method converge to its true solution? I also used more Iterations but both methods keep giving a different answer. Does anyone know why this is or am I doing something wrong?







differential-equations fixed-point-theorems contraction-operator picard-scheme






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edited Dec 8 at 12:53









Mauro ALLEGRANZA

64.1k448111




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asked Dec 8 at 12:51









Wim Verboom

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  • You can solve your equation as Bernoulli equation setting $y=1/x$ so that then $y'=1-2y$ and thus $y=1/2+Ce^{-2t}$, with initial condition $y(0)=1$ you get $c=1/2$ and thus your solution with much less effort.
    – LutzL
    Dec 8 at 13:28


















  • You can solve your equation as Bernoulli equation setting $y=1/x$ so that then $y'=1-2y$ and thus $y=1/2+Ce^{-2t}$, with initial condition $y(0)=1$ you get $c=1/2$ and thus your solution with much less effort.
    – LutzL
    Dec 8 at 13:28
















You can solve your equation as Bernoulli equation setting $y=1/x$ so that then $y'=1-2y$ and thus $y=1/2+Ce^{-2t}$, with initial condition $y(0)=1$ you get $c=1/2$ and thus your solution with much less effort.
– LutzL
Dec 8 at 13:28




You can solve your equation as Bernoulli equation setting $y=1/x$ so that then $y'=1-2y$ and thus $y=1/2+Ce^{-2t}$, with initial condition $y(0)=1$ you get $c=1/2$ and thus your solution with much less effort.
– LutzL
Dec 8 at 13:28










2 Answers
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You should have gotten a plot like this



enter image description here



which gives a visible idea of convergence for $|t|le 0.5$.





Let's consider the interval $|x-1|<1$ in state space in the proof construction of the Picard theorem. Then for the Picard iteration operator $P(x)(t)=x_0+int_0^tf(s,x(s))ds$ we get here
$$|P(x)(t)-1|le int_0^t|x(s)^2-2x(s)|dsle int_0^t(1+|x(s)-1|^2)dsle 2t.$$
To stay inside the chosen bound one needs $|t|le bar tlefrac 12$.



Next, the Lipschitz constant is the maximum of $|-2x+2|=2|x-1|$ over the given region, which gives $L=2$. For convergence in the Picard-Lindelöf proof, that is, contractivity of the Picard map, one needs also $Lbar t<1$, which is given for any $bar t<frac12$, for example for $bar t=frac13$.



This quantitative reasoning confirms that you get reasonably fast visible convergence only for $|t|lefrac12$ or smaller intervals.





Let's explore obstacles for the convergence of the Picard iteration from the point of view of the result, that is, the convergence of the resulting power series. While the denominator $1+e^{2t}$ does not have real roots, the radius of convergence of the power series that you compute is determined also by the complex roots of the denominator which are poles of the function itself.
$$
e^{2t}=-1iff 2t=i(2k+1)pi
$$

has the smallest solutions at $t=pm ifracpi2$, which gives a more optimistic radius of convergence for the power series expansion, and thus possibly also the Picard iteration, of $fracpi2approx1.5$.



But convergence is much slower the closer you get to the boundary of the region of convergence. Outside of the region of convergence it is to be expected that the partial sums of the power series wildly diverge.






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    I don't know how you think both results do not agree, as you don't give more details. I calculated the degree 7 Taylor polynomial of $f(t)=frac{2e^{2t}}{1+e^{2t}}$, and it is
    $$
    p(t)=1+t-frac{t^3}3+frac{2t^5}{15}-frac{17t^7}{315}.
    $$

    So the 7th term does not agree, with the Picard polynomial, but no one said it has to. In any case, the plots look very similar to me.






    share|cite|improve this answer





















    • I compared this plot1 with plot2 and it seemed very different. But thank you for you answer! I now see that indeed this converges to the true function of $x(t)
      – Wim Verboom
      Dec 8 at 13:37













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    2 Answers
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    You should have gotten a plot like this



    enter image description here



    which gives a visible idea of convergence for $|t|le 0.5$.





    Let's consider the interval $|x-1|<1$ in state space in the proof construction of the Picard theorem. Then for the Picard iteration operator $P(x)(t)=x_0+int_0^tf(s,x(s))ds$ we get here
    $$|P(x)(t)-1|le int_0^t|x(s)^2-2x(s)|dsle int_0^t(1+|x(s)-1|^2)dsle 2t.$$
    To stay inside the chosen bound one needs $|t|le bar tlefrac 12$.



    Next, the Lipschitz constant is the maximum of $|-2x+2|=2|x-1|$ over the given region, which gives $L=2$. For convergence in the Picard-Lindelöf proof, that is, contractivity of the Picard map, one needs also $Lbar t<1$, which is given for any $bar t<frac12$, for example for $bar t=frac13$.



    This quantitative reasoning confirms that you get reasonably fast visible convergence only for $|t|lefrac12$ or smaller intervals.





    Let's explore obstacles for the convergence of the Picard iteration from the point of view of the result, that is, the convergence of the resulting power series. While the denominator $1+e^{2t}$ does not have real roots, the radius of convergence of the power series that you compute is determined also by the complex roots of the denominator which are poles of the function itself.
    $$
    e^{2t}=-1iff 2t=i(2k+1)pi
    $$

    has the smallest solutions at $t=pm ifracpi2$, which gives a more optimistic radius of convergence for the power series expansion, and thus possibly also the Picard iteration, of $fracpi2approx1.5$.



    But convergence is much slower the closer you get to the boundary of the region of convergence. Outside of the region of convergence it is to be expected that the partial sums of the power series wildly diverge.






    share|cite|improve this answer




























      3














      You should have gotten a plot like this



      enter image description here



      which gives a visible idea of convergence for $|t|le 0.5$.





      Let's consider the interval $|x-1|<1$ in state space in the proof construction of the Picard theorem. Then for the Picard iteration operator $P(x)(t)=x_0+int_0^tf(s,x(s))ds$ we get here
      $$|P(x)(t)-1|le int_0^t|x(s)^2-2x(s)|dsle int_0^t(1+|x(s)-1|^2)dsle 2t.$$
      To stay inside the chosen bound one needs $|t|le bar tlefrac 12$.



      Next, the Lipschitz constant is the maximum of $|-2x+2|=2|x-1|$ over the given region, which gives $L=2$. For convergence in the Picard-Lindelöf proof, that is, contractivity of the Picard map, one needs also $Lbar t<1$, which is given for any $bar t<frac12$, for example for $bar t=frac13$.



      This quantitative reasoning confirms that you get reasonably fast visible convergence only for $|t|lefrac12$ or smaller intervals.





      Let's explore obstacles for the convergence of the Picard iteration from the point of view of the result, that is, the convergence of the resulting power series. While the denominator $1+e^{2t}$ does not have real roots, the radius of convergence of the power series that you compute is determined also by the complex roots of the denominator which are poles of the function itself.
      $$
      e^{2t}=-1iff 2t=i(2k+1)pi
      $$

      has the smallest solutions at $t=pm ifracpi2$, which gives a more optimistic radius of convergence for the power series expansion, and thus possibly also the Picard iteration, of $fracpi2approx1.5$.



      But convergence is much slower the closer you get to the boundary of the region of convergence. Outside of the region of convergence it is to be expected that the partial sums of the power series wildly diverge.






      share|cite|improve this answer


























        3












        3








        3






        You should have gotten a plot like this



        enter image description here



        which gives a visible idea of convergence for $|t|le 0.5$.





        Let's consider the interval $|x-1|<1$ in state space in the proof construction of the Picard theorem. Then for the Picard iteration operator $P(x)(t)=x_0+int_0^tf(s,x(s))ds$ we get here
        $$|P(x)(t)-1|le int_0^t|x(s)^2-2x(s)|dsle int_0^t(1+|x(s)-1|^2)dsle 2t.$$
        To stay inside the chosen bound one needs $|t|le bar tlefrac 12$.



        Next, the Lipschitz constant is the maximum of $|-2x+2|=2|x-1|$ over the given region, which gives $L=2$. For convergence in the Picard-Lindelöf proof, that is, contractivity of the Picard map, one needs also $Lbar t<1$, which is given for any $bar t<frac12$, for example for $bar t=frac13$.



        This quantitative reasoning confirms that you get reasonably fast visible convergence only for $|t|lefrac12$ or smaller intervals.





        Let's explore obstacles for the convergence of the Picard iteration from the point of view of the result, that is, the convergence of the resulting power series. While the denominator $1+e^{2t}$ does not have real roots, the radius of convergence of the power series that you compute is determined also by the complex roots of the denominator which are poles of the function itself.
        $$
        e^{2t}=-1iff 2t=i(2k+1)pi
        $$

        has the smallest solutions at $t=pm ifracpi2$, which gives a more optimistic radius of convergence for the power series expansion, and thus possibly also the Picard iteration, of $fracpi2approx1.5$.



        But convergence is much slower the closer you get to the boundary of the region of convergence. Outside of the region of convergence it is to be expected that the partial sums of the power series wildly diverge.






        share|cite|improve this answer














        You should have gotten a plot like this



        enter image description here



        which gives a visible idea of convergence for $|t|le 0.5$.





        Let's consider the interval $|x-1|<1$ in state space in the proof construction of the Picard theorem. Then for the Picard iteration operator $P(x)(t)=x_0+int_0^tf(s,x(s))ds$ we get here
        $$|P(x)(t)-1|le int_0^t|x(s)^2-2x(s)|dsle int_0^t(1+|x(s)-1|^2)dsle 2t.$$
        To stay inside the chosen bound one needs $|t|le bar tlefrac 12$.



        Next, the Lipschitz constant is the maximum of $|-2x+2|=2|x-1|$ over the given region, which gives $L=2$. For convergence in the Picard-Lindelöf proof, that is, contractivity of the Picard map, one needs also $Lbar t<1$, which is given for any $bar t<frac12$, for example for $bar t=frac13$.



        This quantitative reasoning confirms that you get reasonably fast visible convergence only for $|t|lefrac12$ or smaller intervals.





        Let's explore obstacles for the convergence of the Picard iteration from the point of view of the result, that is, the convergence of the resulting power series. While the denominator $1+e^{2t}$ does not have real roots, the radius of convergence of the power series that you compute is determined also by the complex roots of the denominator which are poles of the function itself.
        $$
        e^{2t}=-1iff 2t=i(2k+1)pi
        $$

        has the smallest solutions at $t=pm ifracpi2$, which gives a more optimistic radius of convergence for the power series expansion, and thus possibly also the Picard iteration, of $fracpi2approx1.5$.



        But convergence is much slower the closer you get to the boundary of the region of convergence. Outside of the region of convergence it is to be expected that the partial sums of the power series wildly diverge.







        share|cite|improve this answer














        share|cite|improve this answer



        share|cite|improve this answer








        edited Dec 8 at 15:10

























        answered Dec 8 at 13:41









        LutzL

        55.8k42054




        55.8k42054























            2














            I don't know how you think both results do not agree, as you don't give more details. I calculated the degree 7 Taylor polynomial of $f(t)=frac{2e^{2t}}{1+e^{2t}}$, and it is
            $$
            p(t)=1+t-frac{t^3}3+frac{2t^5}{15}-frac{17t^7}{315}.
            $$

            So the 7th term does not agree, with the Picard polynomial, but no one said it has to. In any case, the plots look very similar to me.






            share|cite|improve this answer





















            • I compared this plot1 with plot2 and it seemed very different. But thank you for you answer! I now see that indeed this converges to the true function of $x(t)
              – Wim Verboom
              Dec 8 at 13:37


















            2














            I don't know how you think both results do not agree, as you don't give more details. I calculated the degree 7 Taylor polynomial of $f(t)=frac{2e^{2t}}{1+e^{2t}}$, and it is
            $$
            p(t)=1+t-frac{t^3}3+frac{2t^5}{15}-frac{17t^7}{315}.
            $$

            So the 7th term does not agree, with the Picard polynomial, but no one said it has to. In any case, the plots look very similar to me.






            share|cite|improve this answer





















            • I compared this plot1 with plot2 and it seemed very different. But thank you for you answer! I now see that indeed this converges to the true function of $x(t)
              – Wim Verboom
              Dec 8 at 13:37
















            2












            2








            2






            I don't know how you think both results do not agree, as you don't give more details. I calculated the degree 7 Taylor polynomial of $f(t)=frac{2e^{2t}}{1+e^{2t}}$, and it is
            $$
            p(t)=1+t-frac{t^3}3+frac{2t^5}{15}-frac{17t^7}{315}.
            $$

            So the 7th term does not agree, with the Picard polynomial, but no one said it has to. In any case, the plots look very similar to me.






            share|cite|improve this answer












            I don't know how you think both results do not agree, as you don't give more details. I calculated the degree 7 Taylor polynomial of $f(t)=frac{2e^{2t}}{1+e^{2t}}$, and it is
            $$
            p(t)=1+t-frac{t^3}3+frac{2t^5}{15}-frac{17t^7}{315}.
            $$

            So the 7th term does not agree, with the Picard polynomial, but no one said it has to. In any case, the plots look very similar to me.







            share|cite|improve this answer












            share|cite|improve this answer



            share|cite|improve this answer










            answered Dec 8 at 13:22









            Martin Argerami

            123k1176174




            123k1176174












            • I compared this plot1 with plot2 and it seemed very different. But thank you for you answer! I now see that indeed this converges to the true function of $x(t)
              – Wim Verboom
              Dec 8 at 13:37




















            • I compared this plot1 with plot2 and it seemed very different. But thank you for you answer! I now see that indeed this converges to the true function of $x(t)
              – Wim Verboom
              Dec 8 at 13:37


















            I compared this plot1 with plot2 and it seemed very different. But thank you for you answer! I now see that indeed this converges to the true function of $x(t)
            – Wim Verboom
            Dec 8 at 13:37






            I compared this plot1 with plot2 and it seemed very different. But thank you for you answer! I now see that indeed this converges to the true function of $x(t)
            – Wim Verboom
            Dec 8 at 13:37




















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