MHB What is the solution for the given problem using the method of characteristics?

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The discussion focuses on solving the quasi-linear partial differential equation using the method of characteristics. The initial problem involves finding a solution for the equation with specified boundary conditions. The approach begins by defining characteristic curves and deriving a system of ordinary differential equations (ODEs) based on the given PDE. The solution is expressed in parametric form, leading to expressions for x, t, and u. The final step involves eliminating parameters to obtain an explicit solution for u(x,t), although this is noted to be a complex task.
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Hello! (Wave)

I want to find the solution of the problem
$$(t+u(x,t))u_x(x,t)+tu_t(x,t)=x-t, x \in \mathbb{R}, t>1,$$
$$u(x,1)=1+x$$
using the method of characteristics.

That's what I have tried:

$$(x(0),t(0))=(x_0,1)$$We are looking for a curve $(x(s),y(s)), s \in \mathbb{R}$ such that $\sigma(s)=u(x(s),t(s))$
$$\sigma'(s)=u_x(x(s),t(s))x'(s)+u_t(x(s),t(s))t'(s)$$

We choose $x'(s)=t+u(x,t)=t+ \sigma(s), s \in \mathbb{R}, x(0)=x_0\\t'(s)=t(s), s \in \mathbb{R}, t(0)=1$

Then $\sigma'(s)=x(s)-t(s), s \in \mathbb{R}\\ \sigma(0)=u(x(0),t(0))=u(x_0,1)=1+x_0$$$t'(s)=t(s) \Rightarrow \frac{dt}{ds}t \Rightarrow \frac{dt}{t}=ds \Rightarrow \ln{|t|}=s+c \Rightarrow t=C e^s$$
$$t(0)=1 \Rightarrow C=1$$
$$\Rightarrow t(s)=e^s$$

$x'(s)=t+ \sigma(s)=e^s+u(x(s),e^s) \Rightarrow x(s)=e^s-1+ \int_0^{s} u(x(\xi), e^{\xi})d \xi$

$\sigma'(s)=e^s-1+ \int_0^{s} u(x(\xi), e^{\xi})d \xi-e^s=\int_0^{s} u(x(\xi), e^{\xi})d \xi-1=\int_0^{s} \sigma(\xi) d\xi-1 $

From the Mean Value theorem, we have that there is a $k \in (0,s)$ such that $\sigma(k)=\frac{\int_0^s \sigma(\xi)d\xi}{s}$

So we have that $\sigma'(s)=s \sigma(k)-1 \Rightarrow \sigma(s)=\frac{s^2}{2} \sigma(k)-s+c$
 
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The PDE is of the type 'quasi-linear' and it is written as...

$\displaystyle a(x,t,u)\ u_{x} + b(x,t,u)\ u_{t} = c(x,t,u)\ (1)$

... with the boundary conditions...

$\displaystyle u=u_{0} (s)\ \text{along}\ x=f(s), y=g(s)$

Under appropriate conditions the solving procedure consists in solving the system of ODE...

$\displaystyle \frac{d\ x}{d\ \sigma} = a, \frac{d\ t}{d\ \sigma} = b, \frac{d\ u}{d\ \sigma}= c\ (3)$

... under the conditions...

$\displaystyle x(\sigma=0,\ s) = f(s), t(\sigma=0, s)= g(s), u(\sigma=0, s)= u_{0} (s)\ (4)$

In thi case is...

$\displaystyle a= t+u,\ b=t,\ c=x-t, f(s)= s, g(s)=1, u_{0} = 1 + s$

... so that You can proceed with the first ODE...

$\displaystyle \frac{d\ t}{d\ \sigma}= t, \ t(0,s) = 1 \implies t = e^{\sigma}\ (5)$

... then, taking into account (5), the second ODE...

$\displaystyle \frac{d\ x}{d\ \sigma} = e^{\sigma} + u,\ x(0,s)= s \implies x = u\ \sigma + e^{\sigma} + s - 1\ (6)$

... and then, taking into account (5) and (6), the third ODE...

$\displaystyle \frac{d\ u}{d\ \sigma} = u\ \sigma + s - 1,\ u(0,1)= 1 + s \implies u = (1 + s)\ e^{\frac{\sigma^{2}}{2}} + \sqrt{\frac{\pi}{2}}\ (s-1)\ e^{\frac{\sigma^{2}}{2}}\ \text{erf}\ (\frac{\sigma}{\sqrt{2}})\ (7)$

Now You have the solution in parametric form...

$\displaystyle x = u\ \sigma + e^{\sigma} + s - 1, t = e^{\sigma}, u = (1 + s)\ e^{\frac{\sigma^{2}}{2}} + \sqrt{\frac{\pi}{2}}\ (s-1)\ e^{\frac{\sigma^{2}}{2}}\ \text{erf}\ (\frac{\sigma}{\sqrt{2}})\ (8)$

... and You can obtain u(x,t) in explicit form eliminating $s$ and $\sigma$ from (8)... non a very comfortable task (Thinking)

Kind regards

$\chi$ $\sigma$
 
Last edited:

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