Solve the heat equation \[ u_t = k u_{xx} \] For \(-L<x<L\) and \(t>0\). The boundary conditions are periodic \begin {align*} u(-L,t) &= u(L,t) \\ \frac { \partial u}{\partial x}(-L,t) &= \frac { \partial u}{\partial x}(L,t) \end {align*}
And initial conditions \(u(x,0)=f(x)\)
Mathematica ✓
ClearAll["Global`*"]; pde = D[u[x, t], t] == k*D[u[x, t], {x, 2}]; bc = {u[-L, t] == u[L, t], Derivative[1, 0][u][-L, t] == Derivative[1, 0][u][L, t]}; ic = u[x, 0] == f[x]; sol = AbsoluteTiming[TimeConstrained[DSolve[{pde, bc, ic}, u[x, t], {x, t}, Assumptions -> L > 0], 60*10]];
\[\left \{\left \{u(x,t)\to \underset {K[1]=1}{\overset {\infty }{\sum }}\frac {e^{-\frac {k \pi ^2 t K[1]^2}{L^2}} \left (\cos \left (\frac {\pi x K[1]}{L}\right ) \int _{-L}^L \frac {\cos \left (\frac {\pi x K[1]}{L}\right ) f(x)}{\sqrt {L}} \, dx+\left (\int _{-L}^L \frac {f(x) \sin \left (\frac {\pi x K[1]}{L}\right )}{\sqrt {L}} \, dx\right ) \sin \left (\frac {\pi x K[1]}{L}\right )\right )}{\sqrt {L}}+\frac {\int _{-L}^L \frac {f(x)}{\sqrt {2} \sqrt {L}} \, dx}{\sqrt {2} \sqrt {L}}\right \}\right \}\]
Maple ✓
restart; interface(showassumed=0); pde := diff(u(x,t),t)=k*diff(u(x,t),x$2); bc := u(-L,t)=u(L,t),eval(diff(u(r,t),r),r=-L)=eval(diff(u(r,t),r),r=L); ic := u(x,0)=f(x); cpu_time := timelimit(60*10,CodeTools[Usage](assign('sol',pdsolve([pde,bc,ic],u(x,t)) assuming L>0),output='realtime'));
\[u \left (x , t\right ) = \frac {2 L \left (\sum _{n=1}^{\infty }\frac {\left (\left (\int _{-L}^{L}\cos \left (\frac {\pi n x}{L}\right ) f \left (x \right )d x \right ) \cos \left (\frac {\pi n x}{L}\right )+\left (\int _{-L}^{L}f \left (x \right ) \sin \left (\frac {\pi n x}{L}\right )d x \right ) \sin \left (\frac {\pi n x}{L}\right )\right ) {\mathrm e}^{-\frac {\pi ^{2} k n^{2} t}{L^{2}}}}{L}\right )+\int _{-L}^{L}f \left (x \right )d x}{2 L}\]
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Added Sept 21, 2019
Solve the heat equation \[ u_t = k u_{xx} \] For \(-\pi <x<\pi \) and \(t>0\). The boundary conditions are periodic \begin {align*} u(-\pi ,t) &= u(\pi ,t) \\ \frac { \partial u}{\partial x}(-\pi ,t) &= \frac { \partial u}{\partial x}(\pi ,t) \end {align*}
No initial conditions give.
Mathematica ✓
ClearAll["Global`*"]; pde = D[u[x, t], t] == k*D[u[x, t], {x, 2}]; bc = {u[-Pi, t] == u[Pi, t], Derivative[1, 0][u][-Pi, t] == Derivative[1, 0][u][Pi, t]}; sol = AbsoluteTiming[TimeConstrained[DSolve[{pde, bc}, u[x, t], {x, t}], 60*10]];
\[\{\{u(x,t)\to c_1\}\}\]
Maple ✓
restart; interface(showassumed=0); pde := diff(u(x,t),t)=k*diff(u(x,t),x$2); bc := u(-Pi,t)=u(Pi,t),D[1](u)(-Pi,0)=D[1](u)(Pi,0); cpu_time := timelimit(60*10,CodeTools[Usage](assign('sol',pdsolve([pde,bc],u(x,t)) ),output='realtime'));
\begin {align*} & u \left (x , t\right ) = c_{3} \left (c_{1} {\mathrm e}^{i x}+c_{2} {\mathrm e}^{-i x}\right ) {\mathrm e}^{-k t}\\& u \left (x , t\right ) = c_{3} \left (c_{1}+c_{2}\right )\\ \end {align*}
Hand solution
Solve the heat equation \(u_{t}=ku_{xx}\) with periodic boundary conditions \(u\left ( t,-\pi \right ) =u\left ( t,\pi \right ) ,u_{x}\left ( t,-\pi \right ) =u_{x}\left ( t,\pi \right ) \)
Solution
Using separation of variables, Let \(u\left ( x,t\right ) =T\left ( t\right ) X\left ( x\right ) \). Substituting this into \(u_{t}=ku_{xx}\) gives \(T^{\prime }X=TX^{\prime \prime }\). Dividing by \(XT\neq 0\) gives\[ \frac {1}{k}\frac {T^{\prime }}{T}=\frac {X^{\prime \prime }}{X}=-\lambda \] Where \(\lambda \) is the seperation constant. This gives the following ODE’s to solve\begin {align*} X^{\prime \prime }\left ( x\right ) +\lambda X\left ( x\right ) & =0\\ T^{\prime }\left ( t\right ) +\lambda kT\left ( t\right ) & =0 \end {align*}
Where \(\lambda \) is the separation constant. Eigenfunctions are solutions to the spatial ODE. \begin {equation} X\left ( x\right ) =c_{1}e^{\sqrt {-\lambda }x}+c_{2}e^{-\sqrt {-\lambda }x} \tag {1} \end {equation} To determine the actual eigenfunctions and eigenvalues, boundary conditions are used. Starting with the spatial ODE above, and transferring the boundary condition to \(X\), it becomes\begin {align*} X^{\prime \prime }\left ( x\right ) +\lambda X\left ( x\right ) & =0\\ X\left ( -\pi \right ) & =X\left ( \pi \right ) \\ X^{\prime }\left ( -\pi \right ) & =X^{\prime }\left ( \pi \right ) \end {align*}
This is an eigenvalue boundary value problem. The solution is\begin {equation} X\left ( x\right ) =c_{1}e^{\sqrt {-\lambda }x}+c_{2}e^{-\sqrt {-\lambda }x} \tag {1} \end {equation} case \(\lambda <0\)
Since \(\lambda <0\), then \(-\lambda \) is positive. Let \(\mu =-\lambda \), where \(\mu \) is now positive. The solution (1) becomes\[ X\left ( x\right ) =c_{1}e^{\sqrt {\mu }x}+c_{2}e^{-\sqrt {\mu }x}\] The above can be written as\begin {equation} X\left ( x\right ) =c_{1}\cosh \left ( \sqrt {\mu }x\right ) +c_{2}\sinh \left ( \sqrt {\mu }x\right ) \tag {2} \end {equation} Applying first B.C. \(X\left ( -\pi \right ) =X\left ( \pi \right ) \) using (2) gives\begin {align*} c_{1}\cosh \left ( \sqrt {\mu }\pi \right ) +c_{2}\sinh \left ( -\sqrt {\mu }\pi \right ) & =c_{1}\cosh \left ( \sqrt {\mu }\pi \right ) +c_{2}\sinh \left ( \sqrt {\mu }\pi \right ) \\ c_{2}\sinh \left ( -\sqrt {\mu }\pi \right ) & =c_{2}\sinh \left ( \sqrt {\mu }\pi \right ) \end {align*}
But \(\sinh \) is only zero when its argument is zero which is not the case here. Therefore the above implies that \(c_{2}=0\). The solution (2) now reduces to\begin {equation} X\left ( x\right ) =c_{1}\cosh \left ( \sqrt {\mu }x\right ) \tag {3} \end {equation} Taking derivative gives\begin {equation} X^{\prime }\left ( x\right ) =c_{1}\sqrt {\mu }\sinh \left ( \sqrt {\mu }x\right ) \tag {4} \end {equation} Applying the second BC \(X^{\prime }\left ( -\pi \right ) =X^{\prime }\left ( \pi \right ) \) using (4) gives\[ c_{1}\sqrt {\mu }\sinh \left ( -\sqrt {\mu }\pi \right ) =c_{1}\sqrt {\mu }\sinh \left ( \sqrt {\mu }x\right ) \] But \(\sinh \) is only zero when its argument is zero which is not the case here. Therefore the above implies that \(c_{1}=0\). This means a trivial solution. Therefore \(\lambda <0\) is not an eigenvalue.
case \(\lambda =0\)
In this case the solution is \(X\left ( x\right ) =c_{1}+c_{2}x\). Applying first BC \(X\left ( -\pi \right ) =X\left ( \pi \right ) \) gives\begin {align*} c_{1}-c_{2}\pi & =c_{1}+c_{2}\pi \\ -c_{2}\pi & =c_{2}\pi \end {align*}
This gives \(c_{2}=0\). The solution now becomes \(X\left ( x\right ) =c_{1}\) and \(X^{\prime }\left ( x\right ) =0\). Applying the second boundary conditions \(X^{\prime }\left ( -\pi \right ) =X^{\prime }\left ( \pi \right ) \) is not satisfies (\(0=0\)). Therefore \(\lambda =0\) is an eigenvalue with eigenfunction \(X_{0}\left ( 0\right ) =1\) (selected \(c_{1}=1\) since an arbitrary constant).
case \(\lambda >0\)
The solution in this case is \begin {align*} X\left ( x\right ) & =c_{1}e^{\sqrt {-\lambda }x}+c_{2}e^{-\sqrt {-\lambda }x}\\ & =c_{1}e^{i\sqrt {\lambda }x}+c_{2}e^{-i\sqrt {\lambda }x} \end {align*}
Which can be rewritten as (the constants \(c_{1},c_{2}\) below will be different than the above \(c_{1},c_{2}\), but kept the same name for simplicity).\begin {equation} X\left ( x\right ) =c_{1}\cos \left ( \sqrt {\lambda }x\right ) +c_{2}\sin \left ( \sqrt {\lambda }x\right ) \tag {5} \end {equation} Applying first B.C. \(X\left ( -\pi \right ) =X\left ( \pi \right ) \) using the above gives\begin {align*} c_{1}\cos \left ( \sqrt {\lambda }\pi \right ) +c_{2}\sin \left ( -\sqrt {\lambda }\pi \right ) & =c_{1}\cos \left ( \sqrt {\lambda }\pi \right ) +c_{2}\sin \left ( \sqrt {\lambda }\pi \right ) \\ c_{2}\sin \left ( -\sqrt {\lambda }\pi \right ) & =c_{2}\sin \left ( \sqrt {\lambda }\pi \right ) \end {align*}
There are two choices here. If \(\sin \left ( -\sqrt {\lambda }\pi \right ) \neq \sin \left ( \sqrt {\lambda }\pi \right ) \), then this implies that \(c_{2}=0\). If \(\sin \left ( -\sqrt {\lambda }\pi \right ) =\sin \left ( \sqrt {\lambda }\pi \right ) \) then \(c_{2}\neq 0\). Assuming for now that \(\sin \left ( -\sqrt {\lambda }\pi \right ) =\sin \left ( \sqrt {\lambda }\pi \right ) \). This happens when \(\sqrt {\lambda }\pi =n\pi ,n=1,2,3,\cdots \), or \[ \lambda _{n}=n^{2}\qquad n=1,2,3,\cdots \] Using this choice, we will now look to see what happens using the second BC. The solution (5) now becomes\[ X\left ( x\right ) =c_{1}\cos \left ( nx\right ) +c_{2}\sin \left ( nx\right ) \qquad n=1,2,3,\cdots \] Therefore\[ X^{\prime }\left ( x\right ) =-c_{1}n\sin \left ( nx\right ) +c_{2}n\cos \left ( nx\right ) \] Applying the second BC \(X^{\prime }\left ( -\pi \right ) =X^{\prime }\left ( \pi \right ) \) using the above gives\begin {align*} c_{1}n\sin \left ( n\pi \right ) +c_{2}n\cos \left ( n\pi \right ) & =-c_{1}n\sin \left ( n\pi \right ) +c_{2}n\cos \left ( n\pi \right ) \\ c_{1}n\sin \left ( n\pi \right ) & =-c_{1}n\sin \left ( n\pi \right ) \\ 0 & =0 \end {align*}
Since \(n\) is integer. Therefore this means that using \(\lambda _{n}=n^{2}\) will satisfy both boundary conditions with \(c_{2}\neq 0,c_{1}\neq 0\). This means the solution (5) becomes\[ X_{n}\left ( x\right ) =A_{n}\cos \left ( nx\right ) +B_{n}\sin \left ( nx\right ) \qquad \qquad n=1,2,3,\cdots \] The above says that there are two eigenfunctions in this case. They are \[ X_{n}\left ( x\right ) =\left \{ \begin {array} [c]{c}\cos \left ( nx\right ) \\ \sin \left ( nx\right ) \end {array} \right . \] Since there is also zero eigenvalue, then the complete set of eigenfunctions become\[ X_{n}\left ( x\right ) =\left \{ \begin {array} [c]{c}1\\ \cos \left ( nx\right ) \\ \sin \left ( nx\right ) \end {array} \right . \] Now that the eigenvalues are found, the solution to the time ODE can be found. Recalling that the time ODE from above was found to be \[ T^{\prime }\left ( t\right ) +\lambda kT\left ( t\right ) =0 \] For the zero eigenvalue case, the above reduces to \(T^{\prime }\left ( t\right ) =0\) which has the solution \(T_{0}\left ( t\right ) =C_{0}\). For non zero eigenvalues \(\lambda _{n}=n^{2}\), the ODE becomes \(T^{\prime }\left ( t\right ) +n^{2}T\left ( t\right ) =0\), whose solution is \(T_{0}\left ( t\right ) =C_{n}e^{-kn^{2}t}\).
Putting all the above together, gives the fundamental solution as\[ u_{n}\left ( x,t\right ) =\left \{ \begin {array} [c]{c}C_{0}\\ C_{n}\cos \left ( nx\right ) e^{-kn^{2}t}\qquad \qquad n=1,2,3,\cdots \\ B_{n}\sin \left ( nx\right ) e^{-kn^{2}t}\qquad \qquad n=1,2,3,\cdots \end {array} \right . \] Therefore the complete solution is the sum of the above solutions \[ u\left ( x,t\right ) =C_{0}+\sum _{n=1}^{\infty }e^{-kn^{2}t}\left ( C_{n}\cos \left ( nx\right ) +B_{n}\sin \left ( nx\right ) \right ) \] The constants \(C_{0},C_{n},B_{n}\) can be found from initial conditions.
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Added Sept 21, 2019
Solve the heat equation \[ u_t = k u_{xx} -u(x,t) \] For \(-\pi <x<\pi \) and \(t>0\). The boundary conditions are periodic \begin {align*} u(-\pi ,t) &= u(\pi ,t) \\ \frac { \partial u}{\partial x}(-\pi ,t) &= \frac { \partial u}{\partial x}(\pi ,t) \end {align*}
No initial conditions give.
Mathematica ✗
ClearAll["Global`*"]; pde = D[u[x, t], t] == k*D[u[x, t], {x, 2}] -u[x,t]; bc = {u[-Pi, t] == u[Pi, t], Derivative[1, 0][u][-Pi, t] == Derivative[1, 0][u][Pi, t]}; sol = AbsoluteTiming[TimeConstrained[DSolve[{pde, bc}, u[x, t], {x, t}], 60*10]];
Failed
Maple ✓
restart; interface(showassumed=0); pde := diff(u(x,t),t)=k*diff(u(x,t),x$2)-u(x,t); bc := u(-Pi,t)=u(Pi,t),D[1](u)(-Pi,0)=D[1](u)(Pi,0); cpu_time := timelimit(60*10,CodeTools[Usage](assign('sol',pdsolve([pde,bc],u(x,t)) ),output='realtime'));
\begin {align*} & u \left (x , t\right ) = c_{3} \left (c_{1} {\mathrm e}^{i x}+c_{2} {\mathrm e}^{-i x}\right ) {\mathrm e}^{-\left (k +1\right ) t}\\& u \left (x , t\right ) = c_{3} \left (c_{1}+c_{2}\right ) {\mathrm e}^{-t}\\ \end {align*}
Hand solution
Solve the heat equation \(u_{t}=ku_{xx}-u\) with periodic boundary conditions \(u\left ( t,-\pi \right ) =u\left ( t,\pi \right ) ,u_{x}\left ( t,-\pi \right ) =u_{x}\left ( t,\pi \right ) \)
Solution
Using separation of variables, Let \(u\left ( x,t\right ) =T\left ( t\right ) X\left ( x\right ) \). Substituting this into \(u_{t}=ku_{xx}\) gives \(T^{\prime }X=TX^{\prime \prime }\). Dividing by \(XT\neq 0\) gives\[ \frac {1}{k}\frac {T^{\prime }}{T}+XT=\frac {X^{\prime \prime }}{X}=-\lambda \] Where \(\lambda \) is the seperation constant. This gives the following ODE’s to solve\begin {align*} X^{\prime \prime }\left ( x\right ) +\lambda X\left ( x\right ) & =0\\ T^{\prime }\left ( t\right ) +k\left ( 1+\lambda \right ) T\left ( t\right ) & =0 \end {align*}
Where \(\lambda \) is the separation constant. Eigenfunctions are solutions to the spatial ODE. \begin {equation} X\left ( x\right ) =c_{1}e^{\sqrt {-\lambda }x}+c_{2}e^{-\sqrt {-\lambda }x}\tag {1} \end {equation} To determine the actual eigenfunctions and eigenvalues, boundary conditions are used. Transferring the boundary condition to \(X\), it becomes\begin {align*} X^{\prime \prime }\left ( x\right ) +\lambda X\left ( x\right ) & =0\\ X\left ( -\pi \right ) & =X\left ( \pi \right ) \\ X^{\prime }\left ( -\pi \right ) & =X^{\prime }\left ( \pi \right ) \end {align*}
This is an eigenvalue boundary value problem. The solution is\begin {equation} X\left ( x\right ) =c_{1}e^{\sqrt {-\lambda }x}+c_{2}e^{-\sqrt {-\lambda }x}\tag {1} \end {equation} case \(\lambda <0\)
Since \(\lambda <0\), then \(-\lambda \) is positive. Let \(\mu =-\lambda \), where \(\mu \) is now positive. The solution (1) becomes\[ X\left ( x\right ) =c_{1}e^{\sqrt {\mu }x}+c_{2}e^{-\sqrt {\mu }x}\] The above can be written as\begin {equation} X\left ( x\right ) =c_{1}\cosh \left ( \sqrt {\mu }x\right ) +c_{2}\sinh \left ( \sqrt {\mu }x\right ) \tag {2} \end {equation} Applying first B.C. \(X\left ( -\pi \right ) =X\left ( \pi \right ) \) using (2) gives\begin {align*} c_{1}\cosh \left ( \sqrt {\mu }\pi \right ) +c_{2}\sinh \left ( -\sqrt {\mu }\pi \right ) & =c_{1}\cosh \left ( \sqrt {\mu }\pi \right ) +c_{2}\sinh \left ( \sqrt {\mu }\pi \right ) \\ c_{2}\sinh \left ( -\sqrt {\mu }\pi \right ) & =c_{2}\sinh \left ( \sqrt {\mu }\pi \right ) \end {align*}
But \(\sinh \) is only zero when its argument is zero which is not the case here. Therefore the above implies that \(c_{2}=0\). The solution (2) now reduces to\begin {equation} X\left ( x\right ) =c_{1}\cosh \left ( \sqrt {\mu }x\right ) \tag {3} \end {equation} Taking derivative gives\begin {equation} X^{\prime }\left ( x\right ) =c_{1}\sqrt {\mu }\sinh \left ( \sqrt {\mu }x\right ) \tag {4} \end {equation} Applying the second BC \(X^{\prime }\left ( -\pi \right ) =X^{\prime }\left ( \pi \right ) \) using (4) gives\[ c_{1}\sqrt {\mu }\sinh \left ( -\sqrt {\mu }\pi \right ) =c_{1}\sqrt {\mu }\sinh \left ( \sqrt {\mu }x\right ) \] But \(\sinh \) is only zero when its argument is zero which is not the case here. Therefore the above implies that \(c_{1}=0\). This means a trivial solution. Therefore \(\lambda <0\) is not an eigenvalue.
case \(\lambda =0\)
In this case the solution is \(X\left ( x\right ) =c_{1}+c_{2}x\). Applying first BC \(X\left ( -\pi \right ) =X\left ( \pi \right ) \) gives\begin {align*} c_{1}-c_{2}\pi & =c_{1}+c_{2}\pi \\ -c_{2}\pi & =c_{2}\pi \end {align*}
This gives \(c_{2}=0\). The solution now becomes \(X\left ( x\right ) =c_{1}\) and \(X^{\prime }\left ( x\right ) =0\). Applying the second boundary conditions \(X^{\prime }\left ( -\pi \right ) =X^{\prime }\left ( \pi \right ) \) is not satisfies (\(0=0\)). Therefore \(\lambda =0\) is an eigenvalue with eigenfunction \(X_{0}\left ( 0\right ) =1\) (selected \(c_{1}=1\) since an arbitrary constant).
case \(\lambda >0\)
The solution in this case is \begin {align*} X\left ( x\right ) & =c_{1}e^{\sqrt {-\lambda }x}+c_{2}e^{-\sqrt {-\lambda }x}\\ & =c_{1}e^{i\sqrt {\lambda }x}+c_{2}e^{-i\sqrt {\lambda }x} \end {align*}
Which can be rewritten as (the constants \(c_{1},c_{2}\) below will be different than the above \(c_{1},c_{2}\), but kept the same name for simplicity).\begin {equation} X\left ( x\right ) =c_{1}\cos \left ( \sqrt {\lambda }x\right ) +c_{2}\sin \left ( \sqrt {\lambda }x\right ) \tag {5} \end {equation} Applying first B.C. \(X\left ( -\pi \right ) =X\left ( \pi \right ) \) using the above gives\begin {align*} c_{1}\cos \left ( \sqrt {\lambda }\pi \right ) +c_{2}\sin \left ( -\sqrt {\lambda }\pi \right ) & =c_{1}\cos \left ( \sqrt {\lambda }\pi \right ) +c_{2}\sin \left ( \sqrt {\lambda }\pi \right ) \\ c_{2}\sin \left ( -\sqrt {\lambda }\pi \right ) & =c_{2}\sin \left ( \sqrt {\lambda }\pi \right ) \end {align*}
There are two choices here. If \(\sin \left ( -\sqrt {\lambda }\pi \right ) \neq \sin \left ( \sqrt {\lambda }\pi \right ) \), then this implies that \(c_{2}=0\). If \(\sin \left ( -\sqrt {\lambda }\pi \right ) =\sin \left ( \sqrt {\lambda }\pi \right ) \) then \(c_{2}\neq 0\). Assuming for now that \(\sin \left ( -\sqrt {\lambda }\pi \right ) =\sin \left ( \sqrt {\lambda }\pi \right ) \). Then happens when \(\sqrt {\lambda }\pi =n\pi ,n=1,2,3,\cdots \), or \[ \lambda _{n}=n^{2}\qquad n=1,2,3,\cdots \] Using this choice, we will now look to see what happens using the second BC. The solution (5) now becomes\[ X\left ( x\right ) =c_{1}\cos \left ( nx\right ) +c_{2}\sin \left ( nx\right ) \qquad n=1,2,3,\cdots \] Therefore\[ X^{\prime }\left ( x\right ) =-c_{1}n\sin \left ( nx\right ) +c_{2}n\cos \left ( nx\right ) \] Applying the second BC \(X^{\prime }\left ( -\pi \right ) =X^{\prime }\left ( \pi \right ) \) using the above gives\begin {align*} c_{1}n\sin \left ( n\pi \right ) +c_{2}n\cos \left ( n\pi \right ) & =-c_{1}n\sin \left ( n\pi \right ) +c_{2}n\cos \left ( n\pi \right ) \\ c_{1}n\sin \left ( n\pi \right ) & =-c_{1}n\sin \left ( n\pi \right ) \\ 0 & =0 \end {align*}
Since \(n\) is integer. Therefore this means that using \(\lambda _{n}=n^{2}\) will satisfy both boundary conditions with \(c_{2}\neq 0,c_{1}\neq 0\). This means the solution (5) becomes\[ X_{n}\left ( x\right ) =A_{n}\cos \left ( nx\right ) +B_{n}\sin \left ( nx\right ) \qquad \qquad n=1,2,3,\cdots \] The above says that there are two eigenfunctions in this case. They are \[ X_{n}\left ( x\right ) =\left \{ \begin {array} [c]{c}\cos \left ( nx\right ) \\ \sin \left ( nx\right ) \end {array} \right . \] Since there is also zero eigenvalue, then the complete set of eigenfunctions become\[ X_{n}\left ( x\right ) =\left \{ \begin {array} [c]{c}1\\ \cos \left ( nx\right ) \\ \sin \left ( nx\right ) \end {array} \right . \] Now that the eigenvalues are found, the solution to the time ODE can be found. Recalling that the time ODE from above was found to be \[ T^{\prime }\left ( t\right ) +k\left ( \lambda +1\right ) T\left ( t\right ) =0 \] For the zero eigenvalue case, the above reduces to \(T^{\prime }\left ( t\right ) +kT\left ( t\right ) =0\) which has the solution \(T_{0}\left ( t\right ) =C_{0}e^{-kt}\). For non zero eigenvalues \(\lambda _{n}=n^{2}\), the ODE becomes \(T^{\prime }\left ( t\right ) +k\left ( n^{2}+1\right ) T\left ( t\right ) =0\), whose solution is \(T_{0}\left ( t\right ) =C_{n}e^{-k\left ( n^{2}+1\right ) t}\).
Putting all the above together, gives the fundamental solution as\[ u_{n}\left ( t,x\right ) =\left \{ \begin {array} [c]{c}C_{0}e^{-kt}\\ C_{n}\cos \left ( nx\right ) e^{-k\left ( n^{2}+1\right ) t}\qquad \qquad n=1,2,3,\cdots \\ B_{n}\sin \left ( nx\right ) e^{-k\left ( n^{2}+1\right ) t}\qquad \qquad n=1,2,3,\cdots \end {array} \right . \] Therefore the complete solution is the sum of the above solutions \[ u\left ( t,x\right ) =C_{0}e^{-kt}+\sum _{n=1}^{\infty }e^{-k\left ( n^{2}+1\right ) t}\left ( C_{n}\cos \left ( nx\right ) +B_{n}\sin \left ( nx\right ) \right ) \] The constants \(C_{0},C_{n},B_{n}\) can be found from initial conditions.
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