4,330 research outputs found
Global solvability and blow up for the convective Cahn-Hilliard equations with concave potentials
We study initial boundary value problems for the convective Cahn-Hilliard
equation \Dt u +\px^4u +u\px u+\px^2(|u|^pu)=0. It is well-known that without
the convective term, the solutions of this equation may blow up in finite time
for any . In contrast to that, we show that the presence of the convective
term u\px u in the Cahn-Hilliard equation prevents blow up at least for
. We also show that the blowing up solutions still exist if is
large enough (). The related equations like
Kolmogorov-Sivashinsky-Spiegel equation, sixth order convective Cahn-Hilliard
equation, are also considered
Coalescence in the 1D Cahn-Hilliard model
We present an approximate analytical solution of the Cahn-Hilliard equation
describing the coalescence during a first order phase transition. We have
identified all the intermediate profiles, stationary solutions of the noiseless
Cahn-Hilliard equation. Using properties of the soliton lattices, periodic
solutions of the Ginzburg-Landau equation, we have construct a family of ansatz
describing continuously the processus of destabilization and period doubling
predicted in Langer's self similar scenario
Weak Solutions to the Degenerate Viscous Cahn-Hilliard Equation
The Cahn--Hilliard equation is a common model to describe phase separation
processes of a mixture of two components. In this paper, we study the viscous
Cahn--Hilliard equation with degenerate phase-dependent mobility. We define a
notion of weak solutions and prove the existence of such weak solutions by
considering the limits of the viscous Cahn--Hilliard equation with positive
mobility. Also, we prove that such weak solutions satisfy an energy dissipation
inequality under some additional conditions
Optimal distributed control of a stochastic Cahn-Hilliard equation
We study an optimal distributed control problem associated to a stochastic
Cahn-Hilliard equation with a classical double-well potential and Wiener
multiplicative noise, where the control is represented by a source-term in the
definition of the chemical potential. By means of probabilistic and analytical
compactness arguments, existence of an optimal control is proved. Then the
linearized system and the corresponding backward adjoint system are analysed
through monotonicity and compactness arguments, and first-order necessary
conditions for optimality are proved.Comment: Key words and phrases: stochastic Cahn-Hilliard equation, phase
separation, optimal control, linearized state system, adjoint state system,
first-order optimality condition
Degenerate Mobilities in Phase Field Models are Insufficient to Capture Surface Diffusion
Phase field models frequently provide insight to phase transitions, and are
robust numerical tools to solve free boundary problems corresponding to the
motion of interfaces. A body of prior literature suggests that interface motion
via surface diffusion is the long-time, sharp interface limit of microscopic
phase field models such as the Cahn-Hilliard equation with a degenerate
mobility function. Contrary to this conventional wisdom, we show that the
long-time behaviour of degenerate Cahn-Hilliard equation with a polynomial free
energy undergoes coarsening, reflecting the presence of bulk diffusion, rather
than pure surface diffusion. This reveals an important limitation of phase
field models that are frequently used to model surface diffusion
- …