stability of hyperbolic PDE and DG-FEMDiffusion-Transport problem FEMSlight mistake in Stochastic Galerkin codeFEM+DDM applied to scalar Helmholtz - necessity of lagrange multipliers?Discontinuous Galerkin energy methodInitial Value Problem using Finite ElementRole of the numerical flux in DG-FEMMeasure the convergence rate of a discretization of a wave equationDiverged HDG solution for 2D incompressible Navier-Stokes test case at SMALL time step. Why?$L^2$ norm error estimates of conforming FEM about Poisson’s equation with mixed boundary conditionsDG-FEM integration by parts
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stability of hyperbolic PDE and DG-FEM
Diffusion-Transport problem FEMSlight mistake in Stochastic Galerkin codeFEM+DDM applied to scalar Helmholtz - necessity of lagrange multipliers?Discontinuous Galerkin energy methodInitial Value Problem using Finite ElementRole of the numerical flux in DG-FEMMeasure the convergence rate of a discretization of a wave equationDiverged HDG solution for 2D incompressible Navier-Stokes test case at SMALL time step. Why?$L^2$ norm error estimates of conforming FEM about Poisson’s equation with mixed boundary conditionsDG-FEM integration by parts
$begingroup$
In the book of Hesthaven and Warburton on discontinuous Galerlkin methods in example 2.3 (regarding solutions of the wave equation) the authors regard the following pde:
$$fracpartial u partial t + afracpartial upartial x = 0,
x in [L,R] = Omega
$$
They state that for stability of the numerical scheme, the following must hold:
$$sum_k=1^K fracddt||u_h^k||^2_D ^k=fracddt||u_h^k||^2_Omega,h leq 0 \ bigcup_k^K D^k = Omega$$
with $D^k$ nonoverlapping intervals.
Unfortunately this comes without a proof and I dont have the intuition to see why this may be true. I assume that stability means that small changes in the initial data should only lead to small changes in the solution.
finite-element stability discontinuous-galerkin
$endgroup$
add a comment |
$begingroup$
In the book of Hesthaven and Warburton on discontinuous Galerlkin methods in example 2.3 (regarding solutions of the wave equation) the authors regard the following pde:
$$fracpartial u partial t + afracpartial upartial x = 0,
x in [L,R] = Omega
$$
They state that for stability of the numerical scheme, the following must hold:
$$sum_k=1^K fracddt||u_h^k||^2_D ^k=fracddt||u_h^k||^2_Omega,h leq 0 \ bigcup_k^K D^k = Omega$$
with $D^k$ nonoverlapping intervals.
Unfortunately this comes without a proof and I dont have the intuition to see why this may be true. I assume that stability means that small changes in the initial data should only lead to small changes in the solution.
finite-element stability discontinuous-galerkin
$endgroup$
3
$begingroup$
That bound is one way to state that the overall solution magnitude must either remain the same or decrease over time by enforcing that its time derivative is $leq 0$. The high level result of this is analogous to other forms of numerical stability in ODEs where we don’t want our solution to grow unbounded over time, so we require that the real part of the eigenvalues for the (linearized) system should be $leq 0$. So at least intuitively, what they list makes sense. The proof is just the fun part ;)
$endgroup$
– spektr
7 hours ago
add a comment |
$begingroup$
In the book of Hesthaven and Warburton on discontinuous Galerlkin methods in example 2.3 (regarding solutions of the wave equation) the authors regard the following pde:
$$fracpartial u partial t + afracpartial upartial x = 0,
x in [L,R] = Omega
$$
They state that for stability of the numerical scheme, the following must hold:
$$sum_k=1^K fracddt||u_h^k||^2_D ^k=fracddt||u_h^k||^2_Omega,h leq 0 \ bigcup_k^K D^k = Omega$$
with $D^k$ nonoverlapping intervals.
Unfortunately this comes without a proof and I dont have the intuition to see why this may be true. I assume that stability means that small changes in the initial data should only lead to small changes in the solution.
finite-element stability discontinuous-galerkin
$endgroup$
In the book of Hesthaven and Warburton on discontinuous Galerlkin methods in example 2.3 (regarding solutions of the wave equation) the authors regard the following pde:
$$fracpartial u partial t + afracpartial upartial x = 0,
x in [L,R] = Omega
$$
They state that for stability of the numerical scheme, the following must hold:
$$sum_k=1^K fracddt||u_h^k||^2_D ^k=fracddt||u_h^k||^2_Omega,h leq 0 \ bigcup_k^K D^k = Omega$$
with $D^k$ nonoverlapping intervals.
Unfortunately this comes without a proof and I dont have the intuition to see why this may be true. I assume that stability means that small changes in the initial data should only lead to small changes in the solution.
finite-element stability discontinuous-galerkin
finite-element stability discontinuous-galerkin
asked 8 hours ago
dbadba
1314 bronze badges
1314 bronze badges
3
$begingroup$
That bound is one way to state that the overall solution magnitude must either remain the same or decrease over time by enforcing that its time derivative is $leq 0$. The high level result of this is analogous to other forms of numerical stability in ODEs where we don’t want our solution to grow unbounded over time, so we require that the real part of the eigenvalues for the (linearized) system should be $leq 0$. So at least intuitively, what they list makes sense. The proof is just the fun part ;)
$endgroup$
– spektr
7 hours ago
add a comment |
3
$begingroup$
That bound is one way to state that the overall solution magnitude must either remain the same or decrease over time by enforcing that its time derivative is $leq 0$. The high level result of this is analogous to other forms of numerical stability in ODEs where we don’t want our solution to grow unbounded over time, so we require that the real part of the eigenvalues for the (linearized) system should be $leq 0$. So at least intuitively, what they list makes sense. The proof is just the fun part ;)
$endgroup$
– spektr
7 hours ago
3
3
$begingroup$
That bound is one way to state that the overall solution magnitude must either remain the same or decrease over time by enforcing that its time derivative is $leq 0$. The high level result of this is analogous to other forms of numerical stability in ODEs where we don’t want our solution to grow unbounded over time, so we require that the real part of the eigenvalues for the (linearized) system should be $leq 0$. So at least intuitively, what they list makes sense. The proof is just the fun part ;)
$endgroup$
– spektr
7 hours ago
$begingroup$
That bound is one way to state that the overall solution magnitude must either remain the same or decrease over time by enforcing that its time derivative is $leq 0$. The high level result of this is analogous to other forms of numerical stability in ODEs where we don’t want our solution to grow unbounded over time, so we require that the real part of the eigenvalues for the (linearized) system should be $leq 0$. So at least intuitively, what they list makes sense. The proof is just the fun part ;)
$endgroup$
– spektr
7 hours ago
add a comment |
1 Answer
1
active
oldest
votes
$begingroup$
Stability does indeed mean that small changes in the data lead to small changes in the solution. This can be shown for the linear advection equation through the energy method; in proving the stability of a discretization, we seek to mimic the energy estimate of the exact problem. Considering the PDE,
$$
fracpartial upartial t + a fracpartial upartial x = 0, quad x in Omega equiv (x_L, x_R), quad t in Iequiv(0,T), quad a > 0,
$$
subject to the initial condition
$
u(x, t=0) = u_0(x)
$
and the inflow boundary condition
$
u(x =x_L, t) = u_L(t),
$
we can apply the energy method by multiplying the PDE by $u$ and integrating over $Omega$:
$$
int_Omega u fracpartial upartial t ,mathrmdx + aint_Omega u fracpartial upartial x ,mathrmdx = 0.
$$
By the chain rule, we note that
$$
u fracpartial upartial t = frac12fracpartialpartial tleft(u^2right),
$$
and applying integration by parts,
$$
int_Omega u fracpartial upartial x ,mathrmdx = frac12u^2Big|_x_L^x_R.
$$
Therefore,
$$
int_Omegafracpartialpartial tleft(u^2right) ,mathrmdx = -au^2Big|_x_L^x_R = -aleft[u(x=x_R, t)right]^2 + aleft[u_L(t)right]^2.
$$
Applying Leibniz's rule on the left-hand side and noting that $-aleft[u(x=x_R, t)right]^2 leq 0$,
$$
fracmathrmdmathrmdt||u(cdot,t)||_L^2(Omega)^2 leq aleft[u_L(t)right]^2.
$$
Integrating in time gives us
$$
||u(cdot,T)||_L^2(Omega)^2 - ||u_0||_L^2(Omega)^2 leq a int_I [u_L(t)]^2,mathrmdt,
$$
so the solution is bounded in terms of the problem data (the initial and boundary conditions) as
$$
||u(cdot,T)||_L^2(Omega)^2 leq ||u_0||_L^2(Omega)^2 + a int_I [u_L(t)]^2,mathrmdt,
$$
which corresponds to your notion of stability. In the homogeneous case where $u_L = 0$, we recover
$$
fracmathrmdmathrmdt||u(cdot,t)||_L^2(Omega)^2 leq 0,
$$
which (through integration in time) implies that
$$
||u(cdot,T)||_L^2(Omega)^2 leq ||u_0||_L^2(Omega)^2.
$$
The discontinuous Galerkin method mimics such an energy estimate for the linear advection equation (as does any scheme which satisfies a generalized summation-by-parts property, provided that interface and boundary conditions are treated appropriately). It is common to assume a homogeneous inflow boundary condition and simply show that the energy is nonincreasing with time; however, as we have seen, the motivation for doing so is to bound the solution in terms of the data of the problem.
New contributor
$endgroup$
add a comment |
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1 Answer
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$begingroup$
Stability does indeed mean that small changes in the data lead to small changes in the solution. This can be shown for the linear advection equation through the energy method; in proving the stability of a discretization, we seek to mimic the energy estimate of the exact problem. Considering the PDE,
$$
fracpartial upartial t + a fracpartial upartial x = 0, quad x in Omega equiv (x_L, x_R), quad t in Iequiv(0,T), quad a > 0,
$$
subject to the initial condition
$
u(x, t=0) = u_0(x)
$
and the inflow boundary condition
$
u(x =x_L, t) = u_L(t),
$
we can apply the energy method by multiplying the PDE by $u$ and integrating over $Omega$:
$$
int_Omega u fracpartial upartial t ,mathrmdx + aint_Omega u fracpartial upartial x ,mathrmdx = 0.
$$
By the chain rule, we note that
$$
u fracpartial upartial t = frac12fracpartialpartial tleft(u^2right),
$$
and applying integration by parts,
$$
int_Omega u fracpartial upartial x ,mathrmdx = frac12u^2Big|_x_L^x_R.
$$
Therefore,
$$
int_Omegafracpartialpartial tleft(u^2right) ,mathrmdx = -au^2Big|_x_L^x_R = -aleft[u(x=x_R, t)right]^2 + aleft[u_L(t)right]^2.
$$
Applying Leibniz's rule on the left-hand side and noting that $-aleft[u(x=x_R, t)right]^2 leq 0$,
$$
fracmathrmdmathrmdt||u(cdot,t)||_L^2(Omega)^2 leq aleft[u_L(t)right]^2.
$$
Integrating in time gives us
$$
||u(cdot,T)||_L^2(Omega)^2 - ||u_0||_L^2(Omega)^2 leq a int_I [u_L(t)]^2,mathrmdt,
$$
so the solution is bounded in terms of the problem data (the initial and boundary conditions) as
$$
||u(cdot,T)||_L^2(Omega)^2 leq ||u_0||_L^2(Omega)^2 + a int_I [u_L(t)]^2,mathrmdt,
$$
which corresponds to your notion of stability. In the homogeneous case where $u_L = 0$, we recover
$$
fracmathrmdmathrmdt||u(cdot,t)||_L^2(Omega)^2 leq 0,
$$
which (through integration in time) implies that
$$
||u(cdot,T)||_L^2(Omega)^2 leq ||u_0||_L^2(Omega)^2.
$$
The discontinuous Galerkin method mimics such an energy estimate for the linear advection equation (as does any scheme which satisfies a generalized summation-by-parts property, provided that interface and boundary conditions are treated appropriately). It is common to assume a homogeneous inflow boundary condition and simply show that the energy is nonincreasing with time; however, as we have seen, the motivation for doing so is to bound the solution in terms of the data of the problem.
New contributor
$endgroup$
add a comment |
$begingroup$
Stability does indeed mean that small changes in the data lead to small changes in the solution. This can be shown for the linear advection equation through the energy method; in proving the stability of a discretization, we seek to mimic the energy estimate of the exact problem. Considering the PDE,
$$
fracpartial upartial t + a fracpartial upartial x = 0, quad x in Omega equiv (x_L, x_R), quad t in Iequiv(0,T), quad a > 0,
$$
subject to the initial condition
$
u(x, t=0) = u_0(x)
$
and the inflow boundary condition
$
u(x =x_L, t) = u_L(t),
$
we can apply the energy method by multiplying the PDE by $u$ and integrating over $Omega$:
$$
int_Omega u fracpartial upartial t ,mathrmdx + aint_Omega u fracpartial upartial x ,mathrmdx = 0.
$$
By the chain rule, we note that
$$
u fracpartial upartial t = frac12fracpartialpartial tleft(u^2right),
$$
and applying integration by parts,
$$
int_Omega u fracpartial upartial x ,mathrmdx = frac12u^2Big|_x_L^x_R.
$$
Therefore,
$$
int_Omegafracpartialpartial tleft(u^2right) ,mathrmdx = -au^2Big|_x_L^x_R = -aleft[u(x=x_R, t)right]^2 + aleft[u_L(t)right]^2.
$$
Applying Leibniz's rule on the left-hand side and noting that $-aleft[u(x=x_R, t)right]^2 leq 0$,
$$
fracmathrmdmathrmdt||u(cdot,t)||_L^2(Omega)^2 leq aleft[u_L(t)right]^2.
$$
Integrating in time gives us
$$
||u(cdot,T)||_L^2(Omega)^2 - ||u_0||_L^2(Omega)^2 leq a int_I [u_L(t)]^2,mathrmdt,
$$
so the solution is bounded in terms of the problem data (the initial and boundary conditions) as
$$
||u(cdot,T)||_L^2(Omega)^2 leq ||u_0||_L^2(Omega)^2 + a int_I [u_L(t)]^2,mathrmdt,
$$
which corresponds to your notion of stability. In the homogeneous case where $u_L = 0$, we recover
$$
fracmathrmdmathrmdt||u(cdot,t)||_L^2(Omega)^2 leq 0,
$$
which (through integration in time) implies that
$$
||u(cdot,T)||_L^2(Omega)^2 leq ||u_0||_L^2(Omega)^2.
$$
The discontinuous Galerkin method mimics such an energy estimate for the linear advection equation (as does any scheme which satisfies a generalized summation-by-parts property, provided that interface and boundary conditions are treated appropriately). It is common to assume a homogeneous inflow boundary condition and simply show that the energy is nonincreasing with time; however, as we have seen, the motivation for doing so is to bound the solution in terms of the data of the problem.
New contributor
$endgroup$
add a comment |
$begingroup$
Stability does indeed mean that small changes in the data lead to small changes in the solution. This can be shown for the linear advection equation through the energy method; in proving the stability of a discretization, we seek to mimic the energy estimate of the exact problem. Considering the PDE,
$$
fracpartial upartial t + a fracpartial upartial x = 0, quad x in Omega equiv (x_L, x_R), quad t in Iequiv(0,T), quad a > 0,
$$
subject to the initial condition
$
u(x, t=0) = u_0(x)
$
and the inflow boundary condition
$
u(x =x_L, t) = u_L(t),
$
we can apply the energy method by multiplying the PDE by $u$ and integrating over $Omega$:
$$
int_Omega u fracpartial upartial t ,mathrmdx + aint_Omega u fracpartial upartial x ,mathrmdx = 0.
$$
By the chain rule, we note that
$$
u fracpartial upartial t = frac12fracpartialpartial tleft(u^2right),
$$
and applying integration by parts,
$$
int_Omega u fracpartial upartial x ,mathrmdx = frac12u^2Big|_x_L^x_R.
$$
Therefore,
$$
int_Omegafracpartialpartial tleft(u^2right) ,mathrmdx = -au^2Big|_x_L^x_R = -aleft[u(x=x_R, t)right]^2 + aleft[u_L(t)right]^2.
$$
Applying Leibniz's rule on the left-hand side and noting that $-aleft[u(x=x_R, t)right]^2 leq 0$,
$$
fracmathrmdmathrmdt||u(cdot,t)||_L^2(Omega)^2 leq aleft[u_L(t)right]^2.
$$
Integrating in time gives us
$$
||u(cdot,T)||_L^2(Omega)^2 - ||u_0||_L^2(Omega)^2 leq a int_I [u_L(t)]^2,mathrmdt,
$$
so the solution is bounded in terms of the problem data (the initial and boundary conditions) as
$$
||u(cdot,T)||_L^2(Omega)^2 leq ||u_0||_L^2(Omega)^2 + a int_I [u_L(t)]^2,mathrmdt,
$$
which corresponds to your notion of stability. In the homogeneous case where $u_L = 0$, we recover
$$
fracmathrmdmathrmdt||u(cdot,t)||_L^2(Omega)^2 leq 0,
$$
which (through integration in time) implies that
$$
||u(cdot,T)||_L^2(Omega)^2 leq ||u_0||_L^2(Omega)^2.
$$
The discontinuous Galerkin method mimics such an energy estimate for the linear advection equation (as does any scheme which satisfies a generalized summation-by-parts property, provided that interface and boundary conditions are treated appropriately). It is common to assume a homogeneous inflow boundary condition and simply show that the energy is nonincreasing with time; however, as we have seen, the motivation for doing so is to bound the solution in terms of the data of the problem.
New contributor
$endgroup$
Stability does indeed mean that small changes in the data lead to small changes in the solution. This can be shown for the linear advection equation through the energy method; in proving the stability of a discretization, we seek to mimic the energy estimate of the exact problem. Considering the PDE,
$$
fracpartial upartial t + a fracpartial upartial x = 0, quad x in Omega equiv (x_L, x_R), quad t in Iequiv(0,T), quad a > 0,
$$
subject to the initial condition
$
u(x, t=0) = u_0(x)
$
and the inflow boundary condition
$
u(x =x_L, t) = u_L(t),
$
we can apply the energy method by multiplying the PDE by $u$ and integrating over $Omega$:
$$
int_Omega u fracpartial upartial t ,mathrmdx + aint_Omega u fracpartial upartial x ,mathrmdx = 0.
$$
By the chain rule, we note that
$$
u fracpartial upartial t = frac12fracpartialpartial tleft(u^2right),
$$
and applying integration by parts,
$$
int_Omega u fracpartial upartial x ,mathrmdx = frac12u^2Big|_x_L^x_R.
$$
Therefore,
$$
int_Omegafracpartialpartial tleft(u^2right) ,mathrmdx = -au^2Big|_x_L^x_R = -aleft[u(x=x_R, t)right]^2 + aleft[u_L(t)right]^2.
$$
Applying Leibniz's rule on the left-hand side and noting that $-aleft[u(x=x_R, t)right]^2 leq 0$,
$$
fracmathrmdmathrmdt||u(cdot,t)||_L^2(Omega)^2 leq aleft[u_L(t)right]^2.
$$
Integrating in time gives us
$$
||u(cdot,T)||_L^2(Omega)^2 - ||u_0||_L^2(Omega)^2 leq a int_I [u_L(t)]^2,mathrmdt,
$$
so the solution is bounded in terms of the problem data (the initial and boundary conditions) as
$$
||u(cdot,T)||_L^2(Omega)^2 leq ||u_0||_L^2(Omega)^2 + a int_I [u_L(t)]^2,mathrmdt,
$$
which corresponds to your notion of stability. In the homogeneous case where $u_L = 0$, we recover
$$
fracmathrmdmathrmdt||u(cdot,t)||_L^2(Omega)^2 leq 0,
$$
which (through integration in time) implies that
$$
||u(cdot,T)||_L^2(Omega)^2 leq ||u_0||_L^2(Omega)^2.
$$
The discontinuous Galerkin method mimics such an energy estimate for the linear advection equation (as does any scheme which satisfies a generalized summation-by-parts property, provided that interface and boundary conditions are treated appropriately). It is common to assume a homogeneous inflow boundary condition and simply show that the energy is nonincreasing with time; however, as we have seen, the motivation for doing so is to bound the solution in terms of the data of the problem.
New contributor
edited 2 hours ago
New contributor
answered 3 hours ago
Tristan MontoyaTristan Montoya
665 bronze badges
665 bronze badges
New contributor
New contributor
add a comment |
add a comment |
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3
$begingroup$
That bound is one way to state that the overall solution magnitude must either remain the same or decrease over time by enforcing that its time derivative is $leq 0$. The high level result of this is analogous to other forms of numerical stability in ODEs where we don’t want our solution to grow unbounded over time, so we require that the real part of the eigenvalues for the (linearized) system should be $leq 0$. So at least intuitively, what they list makes sense. The proof is just the fun part ;)
$endgroup$
– spektr
7 hours ago