Hi Andrew,

I can reproduce this issue and I agree that there is something wrong. I'll look into it.

Emil


On 3/22/15 3:29 PM, Andrew Spott wrote:
So, I’m now even more confused.

I’m attempting to solve an equation that looks like this:

u’ = -i(H0 + e(t) D) u

Where H0 is a purely real diagonal matrix, D is an off-diagonal block
matrix, and e(t) is a function of time (The schrödinger equation in the
energy basis).

I’ve rewritten the e(t) function in my code to just return 0.0.  So the
new equation is just u’ = -iH0 u.  The matrix is time independent and
diagonal (I’ve checked this).  H0[0] ~= -.5 (with no imaginary
component).  and u(t=0) = [1,0,0,0,..]

This problem SHOULD be incredibly simple: u’ = i (0.5) u.

However, I’m still getting the same blowup with the TS.:

//with e(t) == 0
//TS
t: 0 step: 0 norm-1: 0
t: 0.01 step: 1 norm-1: 0
t: 0.02 step: 2 norm-1: 0.9999953125635765
t: 0.03 step: 3 norm-1: 2.999981250276277
//Hand rolled
t: 0.01 norm-1: 0 ef 0
t: 0.02 norm-1: 0 ef 0
t: 0.03 norm-1: -1.110223024625157e-16 ef 0
——————————————————————————————
//with e(t) != 0
//TS
t: 0 step: 0 norm-1: 0
t: 0.01 step: 1 norm-1: 0
t: 0.02 step: 2 norm-1: 0.9999953125635765
t: 0.03 step: 3 norm-1: 2.999981250276277
//Hand rolled
t: 0.01 norm-1: 0 ef 9.474814647559372e-11
t: 0.02 norm-1: 0 ef 7.57983838406065e-10
t: 0.03 norm-1: -1.110223024625157e-16 ef 2.558187954267552e-09

I’ve updated the gist.

-Andrew



On Fri, Mar 20, 2015 at 9:57 PM, Barry Smith <[email protected]
<mailto:[email protected]>> wrote:


    Andrew,

    I'm afraid Emil will have to take a look at this and explain it. The
    -ts_type beuler and -ts_type theta -ts_theta_theta .5 are stable but
    the -ts_type cn is not stable. It turns out that -ts_type cn is
    equivalent to -ts_type theta -ts_theta_theta .5 -ts_theta_endpoint
    and somehow this endpoint business (which I don't understand) is
    causing a problem. Meanwhile if I add -ts_theta_adapt to the
    endpoint one it becomes stable ? Anyways all cases are displayed below.

    Emil,

    What's up with this? Does the endpoint business have a bug or can it
    not be used for this problem (the matrix A is a function of t.)

    Barry


    $ ./ex2 -ts_type cn
    t: 0 step: 0 norm-1: 0
    t: 0.01 step: 1 norm-1: 0
    t: 0.02 step: 2 norm-1: 1
    t: 0.03 step: 3 norm-1: 3
    ~/Src/petsc/test-dir (barry/more-tchem-work *=) arch-debug
    $ ./ex2 -ts_type theta
    t: 0 step: 0 norm-1: 0
    t: 0.01 step: 1 norm-1: 0
    t: 0.02 step: 2 norm-1: 0
    t: 0.03 step: 3 norm-1: 0
    ~/Src/petsc/test-dir (barry/more-tchem-work *=) arch-debug
    $ ./ex2 -ts_type theta -ts_theta_theta .5
    t: 0 step: 0 norm-1: 0
    t: 0.01 step: 1 norm-1: 0
    t: 0.02 step: 2 norm-1: 0
    t: 0.03 step: 3 norm-1: 0
    ~/Src/petsc/test-dir (barry/more-tchem-work *=) arch-debug
    $ ./ex2 -ts_type theta -ts_theta_theta .5 -ts_theta_endpoint
    t: 0 step: 0 norm-1: 0
    t: 0.01 step: 1 norm-1: 0
    t: 0.02 step: 2 norm-1: 1
    t: 0.03 step: 3 norm-1: 3
    ~/Src/petsc/test-dir (barry/more-tchem-work *=) arch-debug
    $ ./ex2 -ts_type theta -ts_theta_theta .5 -ts_theta_endpoint
    -ts_theta_adapt
    t: 0 step: 0 norm-1: 0
    t: 0.01 step: 1 norm-1: 0
    t: 0.02 step: 2 norm-1: 0
    t: 0.03 step: 3 norm-1: 0
    ~/Src/petsc/test-dir (barry/more-tchem-work *=) arch-debug
    $ ./ex2 -ts_type theta -ts_theta_theta .5 -ts_theta_endpoint
    -ts_theta_adapt -ts_monitor
    0 TS dt 0.01 time 0
    t: 0 step: 0 norm-1: 0
    0 TS dt 0.01 time 0
    1 TS dt 0.1 time 0.01
    t: 0.01 step: 1 norm-1: 0
    1 TS dt 0.1 time 0.01
    2 TS dt 0.1 time 0.02
    t: 0.02 step: 2 norm-1: 0
    2 TS dt 0.1 time 0.02
    3 TS dt 0.1 time 0.03
    t: 0.03 step: 3 norm-1: 0
    3 TS dt 0.1 time 0.03
    ~/Src/petsc/test-dir (barry/more-tchem-work *=) arch-debug
    $ ./ex2 -ts_type theta -ts_theta_theta .5 -ts_theta_endpoint
    -ts_theta_adapt -ts_monitor -ts_adapt_monitor
    0 TS dt 0.01 time 0
    t: 0 step: 0 norm-1: 0
    0 TS dt 0.01 time 0
    TSAdapt 'basic': step 0 accepted t=0 + 1.000e-02 wlte= 0
    family='theta' scheme=0:'(null)' dt=1.000e-01
    1 TS dt 0.1 time 0.01
    t: 0.01 step: 1 norm-1: 0
    1 TS dt 0.1 time 0.01
    TSAdapt 'basic': step 1 rejected t=0.01 + 1.000e-01 wlte=1.24e+03
    family='theta' scheme=0:'(null)' dt=1.000e-02
    TSAdapt 'basic': step 1 accepted t=0.01 + 1.000e-02 wlte= 0
    family='theta' scheme=0:'(null)' dt=1.000e-01
    2 TS dt 0.1 time 0.02
    t: 0.02 step: 2 norm-1: 0
    2 TS dt 0.1 time 0.02
    TSAdapt 'basic': step 2 rejected t=0.02 + 1.000e-01 wlte=1.24e+03
    family='theta' scheme=0:'(null)' dt=1.000e-02
    TSAdapt 'basic': step 2 accepted t=0.02 + 1.000e-02 wlte= 0
    family='theta' scheme=0:'(null)' dt=1.000e-01
    3 TS dt 0.1 time 0.03
    t: 0.03 step: 3 norm-1: 0
    3 TS dt 0.1 time 0.03
    ~/Src/petsc/test-dir (barry/more-tchem-work *=) arch-debug
    $ ./ex2 -ts_type beuler
    t: 0 step: 0 norm-1: 0
    t: 0.01 step: 1 norm-1: 0
    t: 0.02 step: 2 norm-1: 0
    t: 0.03 step: 3 norm-1: 0
    ~/Src/petsc/test-dir (barry/more-tchem-work *=) arch-debug
    $ ./ex2 -ts_type euler
    t: 0 step: 0 norm-1: 0
    t: 0.01 step: 1 norm-1: 0
    t: 0.02 step: 2 norm-1: 0
    t: 0.03 step: 3 norm-1: 0
    ~/Src/petsc/test-dir (barry/more-tchem-work *=) arch-debug


     > On Mar 20, 2015, at 10:18 PM, Andrew Spott
    <[email protected]> wrote:
     >
     > here are the data files.
     >
     > dipole_matrix.dat:
     > https://www.dropbox.com/s/2ahkljzt6oo9bdr/dipole_matrix.dat?dl=0
     >
     > energy_eigenvalues_vector.dat
     >
    https://www.dropbox.com/s/sb59q38vqvjoypk/energy_eigenvalues_vector.dat?dl=0

     >
     > -Andrew
     >
     >
     >
     > On Fri, Mar 20, 2015 at 7:25 PM, Barry Smith <[email protected]>
    wrote:
     >
     > Data files are needed
     >
     > PetscViewerBinaryOpen( PETSC_COMM_WORLD,
    "hamiltonian/energy_eigenvalues_vector.dat", FILE_MODE_READ, &view );
     > VecLoad( H0, view );
     > PetscViewerBinaryOpen( PETSC_COMM_WORLD,
    "hamiltonian/dipole_matrix.dat", FILE_MODE_READ, &view );
     >
     > BTW: You do not need to call Mat/VecAssembly on Mats and Vecs
    after they have been loaded.
     >
     > Barry
     >
     >
     > > On Mar 20, 2015, at 6:39 PM, Andrew Spott
    <[email protected]> wrote:
     > >
     > > Sorry it took so long, I wanted to create a “reduced” case
    (without all my parameter handling and other stuff…)
     > >
     > > https://gist.github.com/spott/aea8070f35e79e7249e6
     > >
     > > The first section does it using the time stepper. The second
    section does it by explicitly doing the steps. The output is:
     > >
     > > //first section, using TimeStepper:
     > > t: 0 step: 0 norm-1: 0
     > > t: 0.01 step: 1 norm-1: 0
     > > t: 0.02 step: 2 norm-1: 0.999995
     > > t: 0.03 step: 3 norm-1: 2.99998
     > >
     > > //Second section, using explicit code.
     > > t: 0.01 norm-1: 0
     > > t: 0.02 norm-1: 0
     > > t: 0.02 norm-1: 2.22045e-16
     > >
     > >
     > >
     > > On Fri, Mar 20, 2015 at 4:45 PM, Barry Smith
    <[email protected]> wrote:
     > >
     > > Andrew,
     > >
     > > Send your entire code. It will be easier and faster than
    talking past each other.
     > >
     > > Barry
     > >
     > > > On Mar 20, 2015, at 5:00 PM, Andrew Spott
    <[email protected]> wrote:
     > > >
     > > > I’m sorry, I’m not trying to be difficult, but I’m not
    following.
     > > >
     > > > The manual states (for my special case):
     > > > • u ̇ = A(t)u. Use
     > > >
     > > > TSSetProblemType(ts,TS LINEAR);
    TSSetRHSFunction(ts,NULL,TSComputeRHSFunctionLinear,NULL);
    TSSetRHSJacobian(ts,A,A,YourComputeRHSJacobian,&appctx);
     > > >
     > > > where YourComputeRHSJacobian() is a function you provide that
    computes A as a function of time. Or use ...
     > > > My `func` does this. It is 7 lines:
     > > >
     > > > context* c = static_cast<context*>( G_u );
     > > > PetscScalar e = c->E( t_ );
     > > > MatCopy( c->D, A, SAME_NONZERO_PATTERN );
     > > > MatShift( A, e );
     > > > MatDiagonalSet( A, c->H0, INSERT_VALUES);
     > > > MatShift( A, std::complex<double>( 0, -1 ) );
     > > > return 0;
     > > >
     > > > SHOULD `func` touch U? If so, what should `func` do to U? I
    thought that the RHSJacobian function was only meant to create A,
    since dG/du = A(t) (for this special case).
     > > >
     > > > -Andrew
     > > >
     > > >
     > > >
     > > > On Fri, Mar 20, 2015 at 3:26 PM, Matthew Knepley
    <[email protected]> wrote:
     > > >
     > > > On Fri, Mar 20, 2015 at 3:09 PM, Andrew Spott
    <[email protected]> wrote:
     > > > So, it doesn’t seem that zeroing the given vector in the
    function passed to TSSetRHSJacobian is the problem. When I do that,
    it just zeros out the solution.
     > > >
     > > > I would think you would zero the residual vector (if you add
    to it to construct the residual, as in FEM methods), not the solution.
     > > >
     > > > The function that is passed to TSSetRHSJacobian has only one
    responsibility — to create the jacobian — correct? In my case this
    is A(t). The solution vector is given for when you are solving
    nonlinear problems (A(t) also depends on U(t)). In my case, I don’t
    even look at the solution vector (because my A(t) doesn’t depend on
    it).
     > > >
     > > > Are you initializing the Jacobian to 0 first?
     > > >
     > > > Thanks,
     > > >
     > > > Matt
     > > >
     > > > Is this the case? or is there some other responsibility of
    said function?
     > > >
     > > > -Andrew
     > > >
     > > > >Ah ha!
     > > > >
     > > > >The function passed to TSSetRHSJacobian needs to zero the
    solution vector?
     > > > >
     > > > >As a point, this isn’t mentioned in any documentation that I
    can find.
     > > > >
     > > > >-Andrew
     > > >
     > > > On Friday, Mar 20, 2015 at 2:17 PM, Matthew Knepley
    <[email protected]>, wrote:
     > > > This sounds like a problem in your calculation function where
    a Vec or Mat does not get reset to 0, but it does in your by hand code.
     > > >
     > > > Matt
     > > >
     > > > On Mar 20, 2015 2:52 PM, "Andrew Spott"
    <[email protected]> wrote:
     > > > I have a fairly simple problem that I’m trying to timestep:
     > > >
     > > > u’ = A(t) u
     > > >
     > > > I’m using the crank-nicholson method, which I understand (for
    this problem) to be:
     > > >
     > > > u(t + h) = u(t) + h/2[A(t+h)*u(t+h) + A(t)*u(t)]
     > > > or
     > > > [1 - h/2 * A(t+1)] u(t+1) = [1 + h/2 * A(t)] u(t)
     > > >
     > > > When I attempt to timestep using PETSc, the norm of `u` blows
    up. When I do it directly (using the above), the norm of `u` doesn’t
    blow up.
     > > >
     > > > It is important to note that the solution generated after the
    first step is identical for both, but the second step for Petsc has
    a norm of ~2, while for the directly calculated version it is ~1.
    The third step for petsc has a norm of ~4, while the directly
    calculated version it is still ~1.
     > > >
     > > > I’m not sure what I’m doing wrong.
     > > >
     > > > PETSc code is taken out of the manual and is pretty simple:
     > > >
     > > > TSCreate( comm, &ts );
     > > > TSSetProblemType( ts, TS_LINEAR);
     > > > TSSetType( ts, TSCN );
     > > > TSSetInitialTimeStep( ts, 0, 0.01 );
     > > > TSSetDuration( ts, 5, 0.03 );
     > > > TSSetFromOptions( ts );
     > > > TSSetRHSFunction( ts, NULL, TSComputeRHSFunctionLinear, NULL );
     > > > TSSetRHSJacobian( ts, A, A, func, &cntx );
     > > > TSSolve( ts, psi0 );
     > > >
     > > > `func` just constructs A(t) at the time given. The same code
    for calculating A(t) is used in both calculations, along with the
    same initial vector psi0, and the same time steps.
     > > >
     > > > Let me know what other information is needed. I’m not sure
    what could be the problem. `func` doesn’t touch U at all (should it?).
     > > >
     > > > -Andrew
     > > >
     > > >
     > > >
     > > >
     > > > --
     > > > What most experimenters take for granted before they begin
    their experiments is infinitely more interesting than any results to
    which their experiments lead.
     > > > -- Norbert Wiener
     > > >
     > >
     > >
     > >
     >
     >
     >


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