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This work is concerned with the numerical computation of null controls for the heat equation. The goal is to compute an approximation of controls that drives the solution from a prescribed initial state at t=0 to zero at t=T. In spite of the diffusion of the heat equation, recent developments indicate that this issue is difficult and still largely open. Most of the existing literature, concerned with controls of minimal L2-norm, make use of dual convex arguments and introduce backward adjoint system. In practice, the null control problem is then reduced to the minimization of a dual conjugate function with respect to the final condition of the adjoint state. As a consequence of the highly regularizing property of the heat kernel, this final condition – which may be seen as the Lagrange multiplier for the null controllability condition – does not belong to L2, but to a much larger space than can hardly be approximated by finite (discrete) dimensional basis. This phenomenon, unavoidable whatever be the numerical approximation used, strongly deteriorates the efficiency of minimization algorithms. In this work, we do not use duality arguments and in particular do not introduce any backward heat equation. For the boundary case, the approach consists first in introducing a class of functions satisfying a priori the boundary conditions in space and time, in particular the null controllability condition at time T, and then finding among this class one element satisfying the heat equation. This second step is done by minimizing a convex functional among the admissible corrector functions of the heat equation. The inner case is performed in a similar way. We present the (variational) approach, discuss the main features of it and then describe some numerical experiments highlighting the interest of the method. The method holds in any dimension but, for the sake of simplicity, we provide details in the one-space dimensional case.
We present a two-parameter family $(G_{m,k})_{m, k \in \mathbb{N}_{\geq 2}}$, of finite, non-abelian random groups and propose that, for each fixed k, as m → ∞ the commuting graph of Gm,k is almost surely connected and of diameter k. We present heuristic arguments in favour of this conjecture, following the lines of classical arguments for the Erdős–Rényi random graph. As well as being of independent interest, our groups would, if our conjecture is true, provide a large family of counterexamples to the conjecture of Iranmanesh and Jafarzadeh that the commuting graph of a finite group, if connected, must have a bounded diameter. Simulations of our model yielded explicit examples of groups whose commuting graphs have all diameters from 2 up to 10.
We present the first macroscopical model for charge transport in compound semiconductors to make use of analytic ellipsoidal approximations for the energy dispersion relationships in the neighbours of the lowest minima of the conduction bands. The model considers the main scattering mechanisms charges undergo in polar semiconductors, that is the acoustic, polar optical, intervalley non-polar optical phonon interactions and the ionized impurity scattering. Simulations are shown for the cases of bulk 4H and 6H-SiC.
We study the local and global well-posedness of a full system of magnetohydrodynamic equations. The system is a coupling of the incompressible Navier—Stokes equations with the Maxwell equations through the Lorentz force and Ohm's law for the current. We show the local existence of mild solutions for arbitrarily large data in a space similar to the scale-invariant spaces classically used for Navier—Stokes. These solutions are global if the initial data are small enough. Our results not only simplify and unify the proofs for the space dimensions 2 and 3, but also refine those in [8]. The main simplification comes from an a prioriLt2 (Lx∞) estimate for solutions of the forced Navier—Stokes equations.
In this work we study the multiplicity results for a class of critical elliptic systems related to the Brézis–Nirenberg problem with the Neumann boundary condition on a ball. Our approach relies on a minimization argument for an auxiliary problem with a mixed boundary condition and on suitable estimates of the critical level for the system case.
Measurable and measure spaces, extended Borel sets
The discussion up to now has been primarily concerned with the construction and properties of measures on σ-rings. There was some advantage (with a little added complication) in preserving the generality of consideration of σ-rings, rather than σ-fields during this construction process (cf. preface). In this chapter we prepare to use the results obtained so far to develop the theory of integration of functions on abstract spaces. From this point it will usually be convenient to assume that the basic σ-ring on which the measure is defined is, in fact, a σ-field. This will avoid a number of rather fussy details, and will involve negligible loss of generality for integration.
The basic framework for integration will be a space X, a σ-field S of subsets of X, and a measure μ on S. The triple (X, S, μ) will be referred to as a measure space. When μ(X)=1, μ will be called a probability measure. Probabilities are studied in depth from Chapter 9, though also occasionally appear earlier as special cases.
In most of this chapter we shall be not concerned at all with the measure μ, but just with properties of functions and transformations defined on X, in relation to S. To emphasize this absence of μ from consideration, the pair (X, S) will be referred to as a measurable space.
We study the radial symmetry of large solutions of the semilinear elliptic problem Δu + ∇h · ∇u = f (∣x∣, u), and we provide sharp conditions under which the problem has a radial solution. The result is independent of the rate of growth of the solution at infinity.
Up to this point, our attention has focussed on just one fixed space X. Consider now two (later more than two) such spaces X, Y, and their Cartesian product X × Y, defined to be the set of all ordered pairs (x, y) with x ∈ X, y ∈ Y. The most familiar example is, of course, the Euclidean plane where X and Y are both (copies of) the real line ℝ.
Our main interest will be in defining a natural measure-theoretic structure in X × Y (i.e. a σ-field and a measure) in the case where both X and Y are measure spaces. However, for slightly more generality it is useful to first consider σ-rings S, T in X, Y, respectively and define a natural “product” σ-ring in X ×; Y.
First, a rectangle in X ×; Y (with sides A ⊂ X, B ⊂ Y) is defined to be a set of the form A × B = {(x, y): x ∈ A, y ∈ B}. Rectangles may be regarded as the simplest subsets of X ×; Y and have the following property.
This paper describes sharp inequalities for the trace of Sobolev functions on the boundary of a bounded region Ω ⊂ ℝN. The inequalities bound (semi-)norms of the boundary trace by certain norms of the function, its gradient on the region and by two specific constants κρ and κΩ associated with the domain and a weight function, respectively. These inequalities are sharp in that there exist functions for which equality holds. Explicit inequalities in some special cases when the region is a ball, or the region between two balls, are evaluated.
The intent of this short chapter is to indicate how the previous theory may be extended in an obvious way to include the integration of complex-valued functions with respect to a measure (or signed measure) μ on a measurable space (X, S). The primary purpose of this is to discuss Fourier and related transforms which are important in a wide variety of contexts – and in particular the Chapter 12 discussion of characteristic functions of random variables which provide a standard and useful tool in summarizing their probabilistic properties.
Some standard inversion theorems will be proved here to help avoid overload of the Chapter 12 material. However, methods of this chapter also apply to other diverse applications e.g. to Laplace and related transforms used in fields such as physics as well as in probabilistic areas such as stochastic modeling, and may be useful for reference.
Finally it might be emphasized (as noted later) that the integrals considered here involve complex functions as integrands and as for the preceding development, form a “Lebesgue-style” theory. This is in contrast to what is termed “complex variable” methodology, which is a “Riemann-style” theory in which integrals are considered with respect to a complex variable z along some curve in the complex plane. The latter methods – not considered here – can be especially useful in providing means for evaluation of integrals such as characteristic functions which may resist simple real variable techniques.
Throughout this chapter (X, S, μ) will denote a fixed measure space. Consider a sequence {fn} of functions defined on E ⊂ X and taking values in ℝ*. If f is a function on E (to ℝ*) and fn(x) → f(x) for all x ∈ E, then fn converges pointwise on E to f. If E ∈ S and μ(Ec) = 0 then fn → f (point-wise) a.e. (as in Chapter 4). It is clear that if fn → f, fn → g a.e. then f = g a.e. since the limit is unique where it exists.
If fn is finite-valued on E, and given any ∈ > 0, x ∈ E, there exists N = N(x, ∈) such that |fn(x)−fm(x)| < ∈ for all n, m > N, then fn} is said to be a (pointwise) Cauchy sequence on E. If E ∈ S and μ(Ec) = 0, {fn} is called Cauchy a.e. Since each Cauchy sequence of real numbers has a finite limit, if {fn} is Cauchy on E (or Cauchy a.e.) there is a finite-valued function f such that fn → f on E (or fn → f a.e.).
The aim of this paper is to show that the p-local homotopy type of the gauge group of a principal bundle over an even-dimensional sphere is completely determined by the divisibility of the classifying map by p. In particular, for gauge groups of principal SU(n)-bundles over S2d for 2 ≤ d ≤ p − 1 and n ≤ 2p − 1, we give a concrete classification of their p-local homotopy types.