Constants for a solution to the Laplace equation











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Consider one of the solutions to the Laplace equation
$$u(x,t)=sum_{n=1}^{infty} C_{n}e^{-alpha _{n}^2kt}left [ frac{-alpha_{n} }{h}cos(alpha _{n}x) + B_{n}sin(alpha _{n}x) right ],$$
where
$alpha _{n}^2$ is a positive eigenvalue. An initial condition is given as
$$u(x,0)=sum_{n=1}^{infty}C_{n}left [ frac{-alpha_{n} }{h}cos(alpha _{n}x) + B_{n}sin(alpha _{n}x) right ].$$



I am not showing my work that got me to this solution, because that would be a bit of time waster, both for me and whoever is reading.



My question is:




From this information, what would be the constants(usually given as an expression with an integral) of $C_{n}$ and $B_{n}$?




I usually do not have trouble with this, but the $C_{n}$ seems to be where I am confused. I understand that this would be a full Fourier seires, but I am not too sure how to continue. Could anyone provide me some feedback?



Thanks in advance!



Edit: The boundary conditions are:
$$u_{x}(0,t) +hu(0,t)=0 text{and} u_{x}(1,t)=0, t>0.$$
Also, I am just showing the solution for the positive eigenvalues, since I do not need help finding the constants for the negative one.










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  • What are your boundary conditions?
    – carsandpulsars
    Nov 29 at 4:56










  • @carsandpulsars Added!
    – MathIsLife12
    Nov 29 at 5:01










  • For determining the coefficients, the boundary of $x$ is important from the orthogonality relations, is it $[0,1]$?
    – DaveNine
    Nov 29 at 9:46










  • Yes. Sorry for not including that.
    – MathIsLife12
    Nov 29 at 13:41















up vote
0
down vote

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Consider one of the solutions to the Laplace equation
$$u(x,t)=sum_{n=1}^{infty} C_{n}e^{-alpha _{n}^2kt}left [ frac{-alpha_{n} }{h}cos(alpha _{n}x) + B_{n}sin(alpha _{n}x) right ],$$
where
$alpha _{n}^2$ is a positive eigenvalue. An initial condition is given as
$$u(x,0)=sum_{n=1}^{infty}C_{n}left [ frac{-alpha_{n} }{h}cos(alpha _{n}x) + B_{n}sin(alpha _{n}x) right ].$$



I am not showing my work that got me to this solution, because that would be a bit of time waster, both for me and whoever is reading.



My question is:




From this information, what would be the constants(usually given as an expression with an integral) of $C_{n}$ and $B_{n}$?




I usually do not have trouble with this, but the $C_{n}$ seems to be where I am confused. I understand that this would be a full Fourier seires, but I am not too sure how to continue. Could anyone provide me some feedback?



Thanks in advance!



Edit: The boundary conditions are:
$$u_{x}(0,t) +hu(0,t)=0 text{and} u_{x}(1,t)=0, t>0.$$
Also, I am just showing the solution for the positive eigenvalues, since I do not need help finding the constants for the negative one.










share|cite|improve this question
























  • What are your boundary conditions?
    – carsandpulsars
    Nov 29 at 4:56










  • @carsandpulsars Added!
    – MathIsLife12
    Nov 29 at 5:01










  • For determining the coefficients, the boundary of $x$ is important from the orthogonality relations, is it $[0,1]$?
    – DaveNine
    Nov 29 at 9:46










  • Yes. Sorry for not including that.
    – MathIsLife12
    Nov 29 at 13:41













up vote
0
down vote

favorite









up vote
0
down vote

favorite











Consider one of the solutions to the Laplace equation
$$u(x,t)=sum_{n=1}^{infty} C_{n}e^{-alpha _{n}^2kt}left [ frac{-alpha_{n} }{h}cos(alpha _{n}x) + B_{n}sin(alpha _{n}x) right ],$$
where
$alpha _{n}^2$ is a positive eigenvalue. An initial condition is given as
$$u(x,0)=sum_{n=1}^{infty}C_{n}left [ frac{-alpha_{n} }{h}cos(alpha _{n}x) + B_{n}sin(alpha _{n}x) right ].$$



I am not showing my work that got me to this solution, because that would be a bit of time waster, both for me and whoever is reading.



My question is:




From this information, what would be the constants(usually given as an expression with an integral) of $C_{n}$ and $B_{n}$?




I usually do not have trouble with this, but the $C_{n}$ seems to be where I am confused. I understand that this would be a full Fourier seires, but I am not too sure how to continue. Could anyone provide me some feedback?



Thanks in advance!



Edit: The boundary conditions are:
$$u_{x}(0,t) +hu(0,t)=0 text{and} u_{x}(1,t)=0, t>0.$$
Also, I am just showing the solution for the positive eigenvalues, since I do not need help finding the constants for the negative one.










share|cite|improve this question















Consider one of the solutions to the Laplace equation
$$u(x,t)=sum_{n=1}^{infty} C_{n}e^{-alpha _{n}^2kt}left [ frac{-alpha_{n} }{h}cos(alpha _{n}x) + B_{n}sin(alpha _{n}x) right ],$$
where
$alpha _{n}^2$ is a positive eigenvalue. An initial condition is given as
$$u(x,0)=sum_{n=1}^{infty}C_{n}left [ frac{-alpha_{n} }{h}cos(alpha _{n}x) + B_{n}sin(alpha _{n}x) right ].$$



I am not showing my work that got me to this solution, because that would be a bit of time waster, both for me and whoever is reading.



My question is:




From this information, what would be the constants(usually given as an expression with an integral) of $C_{n}$ and $B_{n}$?




I usually do not have trouble with this, but the $C_{n}$ seems to be where I am confused. I understand that this would be a full Fourier seires, but I am not too sure how to continue. Could anyone provide me some feedback?



Thanks in advance!



Edit: The boundary conditions are:
$$u_{x}(0,t) +hu(0,t)=0 text{and} u_{x}(1,t)=0, t>0.$$
Also, I am just showing the solution for the positive eigenvalues, since I do not need help finding the constants for the negative one.







pde fourier-series






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edited Nov 29 at 5:00

























asked Nov 29 at 4:49









MathIsLife12

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  • What are your boundary conditions?
    – carsandpulsars
    Nov 29 at 4:56










  • @carsandpulsars Added!
    – MathIsLife12
    Nov 29 at 5:01










  • For determining the coefficients, the boundary of $x$ is important from the orthogonality relations, is it $[0,1]$?
    – DaveNine
    Nov 29 at 9:46










  • Yes. Sorry for not including that.
    – MathIsLife12
    Nov 29 at 13:41


















  • What are your boundary conditions?
    – carsandpulsars
    Nov 29 at 4:56










  • @carsandpulsars Added!
    – MathIsLife12
    Nov 29 at 5:01










  • For determining the coefficients, the boundary of $x$ is important from the orthogonality relations, is it $[0,1]$?
    – DaveNine
    Nov 29 at 9:46










  • Yes. Sorry for not including that.
    – MathIsLife12
    Nov 29 at 13:41
















What are your boundary conditions?
– carsandpulsars
Nov 29 at 4:56




What are your boundary conditions?
– carsandpulsars
Nov 29 at 4:56












@carsandpulsars Added!
– MathIsLife12
Nov 29 at 5:01




@carsandpulsars Added!
– MathIsLife12
Nov 29 at 5:01












For determining the coefficients, the boundary of $x$ is important from the orthogonality relations, is it $[0,1]$?
– DaveNine
Nov 29 at 9:46




For determining the coefficients, the boundary of $x$ is important from the orthogonality relations, is it $[0,1]$?
– DaveNine
Nov 29 at 9:46












Yes. Sorry for not including that.
– MathIsLife12
Nov 29 at 13:41




Yes. Sorry for not including that.
– MathIsLife12
Nov 29 at 13:41










1 Answer
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Let's start off with the eigenfunction in $x$



$$ X_n(x) = -frac{alpha_n}{h}cos(alpha_n x) + B_nsin(alpha_n x) $$



The first B.C. gives



$$ X_n'(0) + hX_n(0) = alpha_n B_n - alpha_n = 0 implies B_n = 1 $$



With that out of the way, the second B.C. gives



$$ X_n'(1) = alpha_nleft[frac{alpha_n}{h}sin alpha_n + cosalpha_nright] = 0 $$



$$ implies alpha_ntanalpha_n = -h $$



This is a necessary condition for $alpha_n$. There is no closed form, but you can solve it numerically given any $h$.





To show the eigenfunctions are orthogonal, note that for $nne m$ we have



$$ int_0^1 {X_m}''X_n = {X_m}'X_nBigg|_0^1 - X_n{X_m}'Bigg|_0^1 + int_0^1 X_m{X_n}'' $$



However



begin{align}
{X_m}'X_nBigg|_0^1 - X_n{X_m}'Bigg|_0^1 &= -{X_m}'(0)X_n(0) + X_m(0){X_n}'(0) \
&= hX_m(0)cdot X_n(0) - X_m(0)cdot hX_n(0) = 0
end{align}



Therefore



$$ int_0^1 {X_m}''X_n - int_0^1 X_m{X_n}'' = 0 implies -(alpha_m^2-alpha_n^2)int_0^1 X_mX_n = 0 $$



But $alpha_m ne alpha_n$, so the integral must be $0$





The remaining condition is



$$ u(x,0) = f(x) = sum_n C_n X_n(x) $$



where $f(x)$ is a known function. Using orthogonality



$$ int_0^1 f(x)X_m(x) dx = sum_n C_n int_0^1 X_n(x) X_m(x) dx = C_m int_0^1 big[X_m(x)big]^2 dx $$



$$ implies C_n = frac{int_0^1 f(x) X_n(x) dx}{int_0^1 big[X_n(x)big]^2 dx} $$



where the integrals depend on $alpha_n$. Again, numerical computation is useful here





If you follow the same method for the other case, i.e. $X'' = mu^2 X$, you'll find



$$ X_n(x) = frac{mu_n}{h}cosh(mu_n x) + sinh(mu_n x) $$



and $ mu_ntanhmu_n = h $. There is one solution if $h > 0$.



Note that the formula for $C_n$ works the same whether the eigenvalue is positive, negative, or zero.






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    1 Answer
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    1 Answer
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    up vote
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    down vote



    accepted










    Let's start off with the eigenfunction in $x$



    $$ X_n(x) = -frac{alpha_n}{h}cos(alpha_n x) + B_nsin(alpha_n x) $$



    The first B.C. gives



    $$ X_n'(0) + hX_n(0) = alpha_n B_n - alpha_n = 0 implies B_n = 1 $$



    With that out of the way, the second B.C. gives



    $$ X_n'(1) = alpha_nleft[frac{alpha_n}{h}sin alpha_n + cosalpha_nright] = 0 $$



    $$ implies alpha_ntanalpha_n = -h $$



    This is a necessary condition for $alpha_n$. There is no closed form, but you can solve it numerically given any $h$.





    To show the eigenfunctions are orthogonal, note that for $nne m$ we have



    $$ int_0^1 {X_m}''X_n = {X_m}'X_nBigg|_0^1 - X_n{X_m}'Bigg|_0^1 + int_0^1 X_m{X_n}'' $$



    However



    begin{align}
    {X_m}'X_nBigg|_0^1 - X_n{X_m}'Bigg|_0^1 &= -{X_m}'(0)X_n(0) + X_m(0){X_n}'(0) \
    &= hX_m(0)cdot X_n(0) - X_m(0)cdot hX_n(0) = 0
    end{align}



    Therefore



    $$ int_0^1 {X_m}''X_n - int_0^1 X_m{X_n}'' = 0 implies -(alpha_m^2-alpha_n^2)int_0^1 X_mX_n = 0 $$



    But $alpha_m ne alpha_n$, so the integral must be $0$





    The remaining condition is



    $$ u(x,0) = f(x) = sum_n C_n X_n(x) $$



    where $f(x)$ is a known function. Using orthogonality



    $$ int_0^1 f(x)X_m(x) dx = sum_n C_n int_0^1 X_n(x) X_m(x) dx = C_m int_0^1 big[X_m(x)big]^2 dx $$



    $$ implies C_n = frac{int_0^1 f(x) X_n(x) dx}{int_0^1 big[X_n(x)big]^2 dx} $$



    where the integrals depend on $alpha_n$. Again, numerical computation is useful here





    If you follow the same method for the other case, i.e. $X'' = mu^2 X$, you'll find



    $$ X_n(x) = frac{mu_n}{h}cosh(mu_n x) + sinh(mu_n x) $$



    and $ mu_ntanhmu_n = h $. There is one solution if $h > 0$.



    Note that the formula for $C_n$ works the same whether the eigenvalue is positive, negative, or zero.






    share|cite|improve this answer



























      up vote
      1
      down vote



      accepted










      Let's start off with the eigenfunction in $x$



      $$ X_n(x) = -frac{alpha_n}{h}cos(alpha_n x) + B_nsin(alpha_n x) $$



      The first B.C. gives



      $$ X_n'(0) + hX_n(0) = alpha_n B_n - alpha_n = 0 implies B_n = 1 $$



      With that out of the way, the second B.C. gives



      $$ X_n'(1) = alpha_nleft[frac{alpha_n}{h}sin alpha_n + cosalpha_nright] = 0 $$



      $$ implies alpha_ntanalpha_n = -h $$



      This is a necessary condition for $alpha_n$. There is no closed form, but you can solve it numerically given any $h$.





      To show the eigenfunctions are orthogonal, note that for $nne m$ we have



      $$ int_0^1 {X_m}''X_n = {X_m}'X_nBigg|_0^1 - X_n{X_m}'Bigg|_0^1 + int_0^1 X_m{X_n}'' $$



      However



      begin{align}
      {X_m}'X_nBigg|_0^1 - X_n{X_m}'Bigg|_0^1 &= -{X_m}'(0)X_n(0) + X_m(0){X_n}'(0) \
      &= hX_m(0)cdot X_n(0) - X_m(0)cdot hX_n(0) = 0
      end{align}



      Therefore



      $$ int_0^1 {X_m}''X_n - int_0^1 X_m{X_n}'' = 0 implies -(alpha_m^2-alpha_n^2)int_0^1 X_mX_n = 0 $$



      But $alpha_m ne alpha_n$, so the integral must be $0$





      The remaining condition is



      $$ u(x,0) = f(x) = sum_n C_n X_n(x) $$



      where $f(x)$ is a known function. Using orthogonality



      $$ int_0^1 f(x)X_m(x) dx = sum_n C_n int_0^1 X_n(x) X_m(x) dx = C_m int_0^1 big[X_m(x)big]^2 dx $$



      $$ implies C_n = frac{int_0^1 f(x) X_n(x) dx}{int_0^1 big[X_n(x)big]^2 dx} $$



      where the integrals depend on $alpha_n$. Again, numerical computation is useful here





      If you follow the same method for the other case, i.e. $X'' = mu^2 X$, you'll find



      $$ X_n(x) = frac{mu_n}{h}cosh(mu_n x) + sinh(mu_n x) $$



      and $ mu_ntanhmu_n = h $. There is one solution if $h > 0$.



      Note that the formula for $C_n$ works the same whether the eigenvalue is positive, negative, or zero.






      share|cite|improve this answer

























        up vote
        1
        down vote



        accepted







        up vote
        1
        down vote



        accepted






        Let's start off with the eigenfunction in $x$



        $$ X_n(x) = -frac{alpha_n}{h}cos(alpha_n x) + B_nsin(alpha_n x) $$



        The first B.C. gives



        $$ X_n'(0) + hX_n(0) = alpha_n B_n - alpha_n = 0 implies B_n = 1 $$



        With that out of the way, the second B.C. gives



        $$ X_n'(1) = alpha_nleft[frac{alpha_n}{h}sin alpha_n + cosalpha_nright] = 0 $$



        $$ implies alpha_ntanalpha_n = -h $$



        This is a necessary condition for $alpha_n$. There is no closed form, but you can solve it numerically given any $h$.





        To show the eigenfunctions are orthogonal, note that for $nne m$ we have



        $$ int_0^1 {X_m}''X_n = {X_m}'X_nBigg|_0^1 - X_n{X_m}'Bigg|_0^1 + int_0^1 X_m{X_n}'' $$



        However



        begin{align}
        {X_m}'X_nBigg|_0^1 - X_n{X_m}'Bigg|_0^1 &= -{X_m}'(0)X_n(0) + X_m(0){X_n}'(0) \
        &= hX_m(0)cdot X_n(0) - X_m(0)cdot hX_n(0) = 0
        end{align}



        Therefore



        $$ int_0^1 {X_m}''X_n - int_0^1 X_m{X_n}'' = 0 implies -(alpha_m^2-alpha_n^2)int_0^1 X_mX_n = 0 $$



        But $alpha_m ne alpha_n$, so the integral must be $0$





        The remaining condition is



        $$ u(x,0) = f(x) = sum_n C_n X_n(x) $$



        where $f(x)$ is a known function. Using orthogonality



        $$ int_0^1 f(x)X_m(x) dx = sum_n C_n int_0^1 X_n(x) X_m(x) dx = C_m int_0^1 big[X_m(x)big]^2 dx $$



        $$ implies C_n = frac{int_0^1 f(x) X_n(x) dx}{int_0^1 big[X_n(x)big]^2 dx} $$



        where the integrals depend on $alpha_n$. Again, numerical computation is useful here





        If you follow the same method for the other case, i.e. $X'' = mu^2 X$, you'll find



        $$ X_n(x) = frac{mu_n}{h}cosh(mu_n x) + sinh(mu_n x) $$



        and $ mu_ntanhmu_n = h $. There is one solution if $h > 0$.



        Note that the formula for $C_n$ works the same whether the eigenvalue is positive, negative, or zero.






        share|cite|improve this answer














        Let's start off with the eigenfunction in $x$



        $$ X_n(x) = -frac{alpha_n}{h}cos(alpha_n x) + B_nsin(alpha_n x) $$



        The first B.C. gives



        $$ X_n'(0) + hX_n(0) = alpha_n B_n - alpha_n = 0 implies B_n = 1 $$



        With that out of the way, the second B.C. gives



        $$ X_n'(1) = alpha_nleft[frac{alpha_n}{h}sin alpha_n + cosalpha_nright] = 0 $$



        $$ implies alpha_ntanalpha_n = -h $$



        This is a necessary condition for $alpha_n$. There is no closed form, but you can solve it numerically given any $h$.





        To show the eigenfunctions are orthogonal, note that for $nne m$ we have



        $$ int_0^1 {X_m}''X_n = {X_m}'X_nBigg|_0^1 - X_n{X_m}'Bigg|_0^1 + int_0^1 X_m{X_n}'' $$



        However



        begin{align}
        {X_m}'X_nBigg|_0^1 - X_n{X_m}'Bigg|_0^1 &= -{X_m}'(0)X_n(0) + X_m(0){X_n}'(0) \
        &= hX_m(0)cdot X_n(0) - X_m(0)cdot hX_n(0) = 0
        end{align}



        Therefore



        $$ int_0^1 {X_m}''X_n - int_0^1 X_m{X_n}'' = 0 implies -(alpha_m^2-alpha_n^2)int_0^1 X_mX_n = 0 $$



        But $alpha_m ne alpha_n$, so the integral must be $0$





        The remaining condition is



        $$ u(x,0) = f(x) = sum_n C_n X_n(x) $$



        where $f(x)$ is a known function. Using orthogonality



        $$ int_0^1 f(x)X_m(x) dx = sum_n C_n int_0^1 X_n(x) X_m(x) dx = C_m int_0^1 big[X_m(x)big]^2 dx $$



        $$ implies C_n = frac{int_0^1 f(x) X_n(x) dx}{int_0^1 big[X_n(x)big]^2 dx} $$



        where the integrals depend on $alpha_n$. Again, numerical computation is useful here





        If you follow the same method for the other case, i.e. $X'' = mu^2 X$, you'll find



        $$ X_n(x) = frac{mu_n}{h}cosh(mu_n x) + sinh(mu_n x) $$



        and $ mu_ntanhmu_n = h $. There is one solution if $h > 0$.



        Note that the formula for $C_n$ works the same whether the eigenvalue is positive, negative, or zero.







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        edited Nov 29 at 21:16

























        answered Nov 29 at 20:50









        Dylan

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