Inconsistent finite difference scheme Announcing the arrival of Valued Associate #679: Cesar...
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Inconsistent finite difference scheme
Announcing the arrival of Valued Associate #679: Cesar Manara
Planned maintenance scheduled April 17/18, 2019 at 00:00UTC (8:00pm US/Eastern)Centered-Difference Scheme to approximate BVPStability of a scheme for one way wave equation.Looking for a Finite Difference scheme of the following form…Question on the solution to obtaining the truncation error for the Crank-Nicolson finite-difference schemeInconsistent finite difference scheme for linear inhomogeneous diffusionExplicit Finite Difference Scheme for 3D diffusion with variable conductivityRecursive application of finite difference approximationFinite Difference Scheme for the KdV equationMixed derivative finite differenceTruncation error on a non-uniform finite difference scheme
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I have the following:
The Equation
$$bfrac{partial u}{partial t} + frac{partial u}{partial t} - c(x,t) = 0$$
b is a constant. The Equation is approximated at point $(x_i, t^n)$ in the $x-t$ plane by the difference scheme
$$frac{b}{Delta t}left{u^{n+1}_i - frac{1}{2}(u^n_{i+1} + u^n_{i-1})right} + frac{1}{2Delta x}(u^n_{i+1} - u^n_{i-1}) - c^n_i =0$$
If we set $Delta t = lambda(Delta x)^2$ then I have that the truncation error is given by
$$T^n_i = frac{b}{2}left(lambda(Delta x)^2u_{tt} - frac{1}{lambda}u_{xx}right) + frac{(Delta x)^2}{6}u_{xxx} + cdots$$
So as $Delta x rightarrow 0$ then $T^n_i rightarrow -dfrac{b}{2lambda}u_{xx}$.
I am asked that if the scheme is inconsistent like this then to obtain the equation it does approximate. How would I do this?
numerical-methods finite-differences finite-difference-methods
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add a comment |
$begingroup$
I have the following:
The Equation
$$bfrac{partial u}{partial t} + frac{partial u}{partial t} - c(x,t) = 0$$
b is a constant. The Equation is approximated at point $(x_i, t^n)$ in the $x-t$ plane by the difference scheme
$$frac{b}{Delta t}left{u^{n+1}_i - frac{1}{2}(u^n_{i+1} + u^n_{i-1})right} + frac{1}{2Delta x}(u^n_{i+1} - u^n_{i-1}) - c^n_i =0$$
If we set $Delta t = lambda(Delta x)^2$ then I have that the truncation error is given by
$$T^n_i = frac{b}{2}left(lambda(Delta x)^2u_{tt} - frac{1}{lambda}u_{xx}right) + frac{(Delta x)^2}{6}u_{xxx} + cdots$$
So as $Delta x rightarrow 0$ then $T^n_i rightarrow -dfrac{b}{2lambda}u_{xx}$.
I am asked that if the scheme is inconsistent like this then to obtain the equation it does approximate. How would I do this?
numerical-methods finite-differences finite-difference-methods
$endgroup$
$begingroup$
The way the differential equation is written there are only derivatives with respect to $t$ involved. Is this intentional or a typo? If it is intentional, what is the difference between the index $i$ and the index $n$?
$endgroup$
– ekkilop
Apr 3 at 13:41
add a comment |
$begingroup$
I have the following:
The Equation
$$bfrac{partial u}{partial t} + frac{partial u}{partial t} - c(x,t) = 0$$
b is a constant. The Equation is approximated at point $(x_i, t^n)$ in the $x-t$ plane by the difference scheme
$$frac{b}{Delta t}left{u^{n+1}_i - frac{1}{2}(u^n_{i+1} + u^n_{i-1})right} + frac{1}{2Delta x}(u^n_{i+1} - u^n_{i-1}) - c^n_i =0$$
If we set $Delta t = lambda(Delta x)^2$ then I have that the truncation error is given by
$$T^n_i = frac{b}{2}left(lambda(Delta x)^2u_{tt} - frac{1}{lambda}u_{xx}right) + frac{(Delta x)^2}{6}u_{xxx} + cdots$$
So as $Delta x rightarrow 0$ then $T^n_i rightarrow -dfrac{b}{2lambda}u_{xx}$.
I am asked that if the scheme is inconsistent like this then to obtain the equation it does approximate. How would I do this?
numerical-methods finite-differences finite-difference-methods
$endgroup$
I have the following:
The Equation
$$bfrac{partial u}{partial t} + frac{partial u}{partial t} - c(x,t) = 0$$
b is a constant. The Equation is approximated at point $(x_i, t^n)$ in the $x-t$ plane by the difference scheme
$$frac{b}{Delta t}left{u^{n+1}_i - frac{1}{2}(u^n_{i+1} + u^n_{i-1})right} + frac{1}{2Delta x}(u^n_{i+1} - u^n_{i-1}) - c^n_i =0$$
If we set $Delta t = lambda(Delta x)^2$ then I have that the truncation error is given by
$$T^n_i = frac{b}{2}left(lambda(Delta x)^2u_{tt} - frac{1}{lambda}u_{xx}right) + frac{(Delta x)^2}{6}u_{xxx} + cdots$$
So as $Delta x rightarrow 0$ then $T^n_i rightarrow -dfrac{b}{2lambda}u_{xx}$.
I am asked that if the scheme is inconsistent like this then to obtain the equation it does approximate. How would I do this?
numerical-methods finite-differences finite-difference-methods
numerical-methods finite-differences finite-difference-methods
asked Mar 23 at 11:24
MRTMRT
348216
348216
$begingroup$
The way the differential equation is written there are only derivatives with respect to $t$ involved. Is this intentional or a typo? If it is intentional, what is the difference between the index $i$ and the index $n$?
$endgroup$
– ekkilop
Apr 3 at 13:41
add a comment |
$begingroup$
The way the differential equation is written there are only derivatives with respect to $t$ involved. Is this intentional or a typo? If it is intentional, what is the difference between the index $i$ and the index $n$?
$endgroup$
– ekkilop
Apr 3 at 13:41
$begingroup$
The way the differential equation is written there are only derivatives with respect to $t$ involved. Is this intentional or a typo? If it is intentional, what is the difference between the index $i$ and the index $n$?
$endgroup$
– ekkilop
Apr 3 at 13:41
$begingroup$
The way the differential equation is written there are only derivatives with respect to $t$ involved. Is this intentional or a typo? If it is intentional, what is the difference between the index $i$ and the index $n$?
$endgroup$
– ekkilop
Apr 3 at 13:41
add a comment |
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The way the differential equation is written there are only derivatives with respect to $t$ involved. Is this intentional or a typo? If it is intentional, what is the difference between the index $i$ and the index $n$?
$endgroup$
– ekkilop
Apr 3 at 13:41