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Semitopological Vector Spaces : Hypernorms, Hyperseminorms, and Operators - Mark Burgin

Semitopological Vector Spaces

Hypernorms, Hyperseminorms, and Operators

By: Mark Burgin

Hardcover | 26 May 2017 | Edition Number 1

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This new volume shows how it is possible to further develop and essentially extend the theory of operators in infinite-dimensional vector spaces, which plays an important role in mathematics, physics, information theory, and control theory. The book describes new mathematical structures, such as hypernorms, hyperseminorms, hypermetrics, semitopological vector spaces, hypernormed vector spaces, and hyperseminormed vector spaces. It develops mathematical tools for the further development of functional analysis and broadening of its applications.

Exploration of semitopological vector spaces, hypernormed vector spaces, hyperseminormed vector spaces, and hypermetric vector spaces is the main topic of this book. A new direction in functional analysis, called quantum functional analysis, has been developed based on polinormed and multinormed vector spaces and linear algebras. At the same time, normed vector spaces and topological vector spaces play an important role in physics and in control theory.

To make this book comprehendible for the reader and more suitable for students with some basic knowledge in mathematics, denotations and definitions of the main mathematical concepts and structures used in the book are included in the appendix, making the book useful for enhancing traditional courses of calculus for undergraduates, as well as for separate courses for graduate students. The material of Semitopological Vector Spaces: Hypernorms, Hyperseminorms and Operators is closely related to what is taught at colleges and universities. It is possible to use a definite number of statements from the book as exercises for students because their proofs are not given in the book but left for the reader.

Industry Reviews
More than 20 years ago, the author introduced an extension R! of the real numbers whose

elements he called real hypernumbers. R! is a real ordered vector space, it contains arbitrar-

ily large" elements (i.e., elements which are larger than each real number) but no in nitely

small" positive elements. A few years ago, he published a book in which he showed that real

hypernumbers enable one to di erentiate and integrate any real-valued function and studied

the outcoming properties [M. Burgin, Hypernumbers and extrafunctions. Extending the clas-

sical calculus. New York, NY: Springer (2012; Zbl 1253.46050)]. The present book now mainly

deals with hypernormed spaces: a mapping k < k : E ! R! de ned on a real vector space E

is called hyper(semi)norm and (E; k < k) a hyper(semi)normed space if it satis es the usual

conditions for a (semi)norm. Using the norm balls with positive real radius, a hyperseminorm

induces a topology which is a group topology but, in general, not a vector space topology, only

the multiplication with a xed real number is continuous (in other words, it is a topological

vector space over the reals, endowed with the discrete topology).

After the introduction of generalized P-hypernumbers, a generalization of real hypernumbers,

the author studies hyperfunctions and extrafunctions which allow him to introduce generalized

distributions.

Semitopological vector spaces are, with few exceptions, only discussed in one chapter. They

have been studied under the name topological vector groups" by, e.g., Raikov, Kenderov and

Lurje, with some remarkable generalizations of classical results. As there are few far-reaching

results for general topological vector spaces, the same is even more true for semitopological

vector spaces. It is shown that a family of hyperseminorms induces a semitopology which is

locally convex.

One of the main goals of the book is the study of objects or concepts which are approxima-

tively" equal. Since this approximation" is usually expressed in terms of a hyperseminorm,

the author studies these in detail in Chapter 3. This enables him to study fuzzy continuity,

approximative linear operators and bounded mappings, as well as their mutual relations. (Note

that the de nition of fuzzy continuity here is di erent from the classical one.) This is done in

the last chapters of the book.

Most of the results in this book are elementary. It contains many minor and some major

mistakes. For instance, Proposition 3.4 claims that the product of norms is a norm, which is

evidently wrong. The proofs of Proposition 5.1 (b), (c), which characterizes compact Hausdor



semitopological vector spaces and claims that each nite-dimensional subspace of a Hausdor



semitopological vector space is closed, respectively, use the continuity of the scalar multiplica-

tion in the rst variable and are therefore wrong. Also, there are inconsistencies, so r-continuity

as de ned in De nition 7.3 is di erent from "-continuity as de ned in De nition 7.10. Also,

Theorems 8.1 and 8.2 are missing, whereas De nitions 3.41 of a hyperquasimetric and 3.42 of

a hypersemimetric de ne the same object.

The author states that this book belongs to physical mathematics, but there are no examples

from this area as would have been desirable from the reviewer's point of view.

Heinz-Peter Butzmann (Mannheim)

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