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Let ci, and di, (1≤i≤s) be rational integers, and k and n be natural numbers. We shall consider the solubility over the p-adic integers ℤp of the pair of additive equations
where U is a subset of ℛk and is a family of subsets of U indexed by a set J, are common in the theory of Diophantine approximation [4, 7, 18, 19]. They are also closely connected with exceptional sets arising in analysis and with sets of “small divisors” in dynamical systems [1, 8, 15”. When J is the set of positive integers ℕ, the set Λ(ℱ) is of course the lim-sup of the sequence of sets Fj, j = 1, 2,… [11, p. 1]. We will also call sets of the form (1), with the more general index set J, lim-sup sets. When such lim-sup sets have Lebesgue measure zero, it is of interest to determine their Hausdorff dimension. It is usually difficult to obtain a good lower bound for the Hausdorff dimension (and it can be much harder to determine than an upper bound). In this paper we will obtain a lower bound for the dimension of lim-sup sets of the form (1) for a fairly general class of families ℕ which includes a range of results in the theory of Diophantine approximation. This lower bound depends explicitly on the geometric structure and distribution in U of the sets Fα in ℕ.
Let Vo be a discrete real valuation of a field K and x an indeterminate. In 1936, MacLane [3] gave a method of constructing all real valuations of K(x) which are extensions of Vo. In this paper, we determine explicitly all rank 2 valuations of K(x) which extend Vo. One can thereby describe all rank 2 valuations of K(x, y) which are trivial on an arbitrary K; x, y being algebraically independent over the field K. The latter valuations have been considered by Zariski [5] in the case when K is an algebraically closed field of characteristic zero.
Of prime concern in this paper is the flow induced in a channel when a thermal wave moves along a boundary with topographical features. The principal result obtained is that the time-averaged flow in the channel is predominantly cellular in nature, which is qualitatively quite different from its unidirectional form when such structures are absent.
Let A = {ala2,…, an} be a finite set of (not necessarily distinct) positive integers and
be the corresponding set of multiples. My primary object here is to show that in fairly general circumstances there are significant irregularities in B(A), regarded as an ordered sequence.
If a scattered compact space K is such that its ω1-th derived set K(ω1) is empty then the Banach space ℒ(K) admits an equivalent locally uniformly convex norm.
In this paper some new Opial-type integrodifferential inequalities in one variable are established. These generalize the existing ones which have a wide range of applications in the study of differential and integral equations.
For each odd prime p there is a finite regular abstract 4-dimensional polytope of type {3, 3, p}. Its cells are simplices, and its vertex figures belong to an infinite family of regular polyhedra. We also give a geometric realization for these polytopes.
We determine what is the maximum possible (by volume) portion of the three-dimensional Euclidean space that can be occupied by a family of non-overlapping congruent circular cylinders of infinite length in both directions. We show that the ratio of that portion to the whole of the space cannot exceed π/√12 and it attains π/√12 when all cylinders are parallel to each other and each of them touches six others. In the terminology of the theory of packings and coverings, we prove that the space packing density of the cylinder equals π/√12, the same as the plane packing density of the circular disk.
Distributions are sometimes called ‘generalized functions’, and that is essentially what they are. They correspond to situations presented to us by physical experience which are not adequately covered by the traditional y = f(x) notion of a function. An example is the well-known Dirac Delta Function, which is in fact not a function in the standard sense. The Dirac ‘function’ corresponds to a unit impulse imparted to a system over what we may idealize as an infinitely short interval of time. Think, for example, of an object being struck by a hammer. While in reality there is some compression of the hammer and of the object, and a small but finite time span during which the interaction occurs, that is not the way we normally see it. To the unaided eye, the whole thing takes place: Bang! – in an instant. This idealization not only corresponds to human intuition, but is very useful in physical applications.
Here an aside. In this discussion, when we use the term ‘physical’, we really mean ‘phenomenological’ – i.e. pertaining to the phenomena of nature. Thus, in our usage, the term physical could just as well apply to a problem in mathematical economics as to a problem in mechanics.
This still raises the question: Why create a whole theory to deal with an idea as simple as the Dirac Delta Function? Well, firstly, the idea may not be quite so simple as it looks. More importantly, the idea has important generalizations, each of which could be treated directly on its own merits, but only at the expense of an ever widening loss of clarity and comprehension.
The theory of distributions achieves especial power when it is combined with the theory of Fourier transforms.
In accordance with the plan of this book, in which advanced calculus is to be the only prerequisite, we must develop the classical theory of Fourier transforms to the depth that we need it. Fortunately, this is not very far: almost all of the technical aspects of Fourier transform theory can be omitted. In fact, distribution theory provides a new approach to the whole subject – an achievement which may be the most beautiful and far reaching of all the applications of the distribution idea.
Nevertheless, there is a hard core of basic facts about the Fourier transform which we need before we can begin the distribution–theoretic treatment. Here these classical facts are laid out in a leisurely fashion, with a heavy stress on their physical motivation. The distribution–theoretic approach (which generalizes the theory to a surprising extent) is given in the next chapter.
The physical interpretation of complex numbers
There are many such interpretations, of course – physics is a rich subject – but the following is in some sense the clearest and most classical.
As an aside, we begin by ruling out something which is unsatisfactory. The interpretation of complex numbers as two-dimensional vectors is unsatisfying, because the curious mind asks: What about three-dimensional or n-dimensional vectors? Why such a fuss over two-dimensions? A purely mathematical answer is that the complex numbers are the only finitedimensional extension of the reals in which all of the laws of arithmetic hold [HR, chap. 7]. These laws, of course, involve addition, subtraction, multiplication and division.