ε-Insensitizing
Controls for the Heat Equation
Luz de Teresa
deteresa@matem.unam.mx
Instituto de Matemáticas, UNAM
Circuito Exterior, C.U.
Mexico, D.F., Mexico
Abstract:
We consider a heat equation with partially known initial data. We define
a functional on the solutions (the square L² norm on an
observation set) of the heat equation and acting with a control with
support in an open subset of the domain try to obtain that the derivative
of the functional , with respect to a small parameter of the perturbed
initial data, is small. This problem is called the ε-insensitizing
problem for the heat equation and can easily be transformed in an approximate
control problem for a cascade system of heat equations. This problem
can be transformed in a unique continuation problem for the adjoint
of the cascade system that has a particular interest when the control
and observation regions have empty intersection.
A
Numerical Conjugate Gradient Method for ytt - yxx + y3 = 0
Carlos Barrón Romero
cbarron@correo.cua.uam.mx
UAM Unidad Cuajimalpa
División de Ciencias Naturales e Ingeniería
Departamento de Matemáticas Aplicadas y Sistemas
México, D. F., Mexico
Abstract:
A Conjugate Gradient Control Method will be depicted and will present
numerical results for the problem in the title, following the variational
techniques of Glowinski and Lions.
Conjugate
Gradient Methods for the Estimation of Hydrodynamic Vector Fields
L. Hector Juarez
hect@xanum.uam.mx
Marco A. Nunez
manp@xanum.uam.mx
Ciro F. Flores
ciro.flores@itesm.mx
Abstract: Diagnostic
models in meteorology generate a wind field satisfying some time-independent
physical constraints. Among these models, mass--consistent models play
an important role, [1]. We study a variational method based on Sasaki's
method [2], which provide an adjusted field by the minimization of a
functional with a mass conservation constraint. Based on previous experience
about the solution of Stokes-like problems in CFD [3], we introduce
a methodology based on iterative conjugate gradient methods with preconditioning
to solve the primitive problem (a minimization problem with a constraint).
Matrix
Calculation of Perturbation Series for Self-Adjoint Operators
Marco A. Nuñez
manp@xanum.uam.mx
Gustavo Izquierdo B.
iubg@xanum.uam.mx
Departamento de Fisica
Universidad Autonoma Metropolitana Iztapalapa
Distrito Federal, Mexico
Abstract:
A matrix approach to compute the perturbation series of perturbed self-adjoint
operators is proposed. It is shown that the series can be computed by
means of those corresponding to a matrix representation, when the zeroth
order operator is perturbed by an operator relatively bounded by the
former. This result includes Schroedinger operators of atomic and molecular
systems, confined spatially in a box with impenetrable walls. The results
are extended to zeroth order operators, for which the standard Rayleigh-Schroedinger
perturbation theory does not work. In this case we have Schroedinger
operators with a finite number of bounded states. The approach allows
the calculation of perturbation series even when the eigenstates of
the zeroth order operator are unknown. Numerical examples are given.
A heuristic argument suggests that the approach can be applied to compute
the perturbation series of singularly perturbed operators and numerical
examples that support such a conjecture are given.