To save content items to your account,
please confirm that you agree to abide by our usage policies.
If this is the first time you use this feature, you will be asked to authorise Cambridge Core to connect with your account.
Find out more about saving content to .
To save content items to your Kindle, first ensure no-reply@cambridge.org
is added to your Approved Personal Document E-mail List under your Personal Document Settings
on the Manage Your Content and Devices page of your Amazon account. Then enter the ‘name’ part
of your Kindle email address below.
Find out more about saving to your Kindle.
Note you can select to save to either the @free.kindle.com or @kindle.com variations.
‘@free.kindle.com’ emails are free but can only be saved to your device when it is connected to wi-fi.
‘@kindle.com’ emails can be delivered even when you are not connected to wi-fi, but note that service fees apply.
The study of smooth embeddings of 3-manifolds in 4-space has been hampered by difficulties with the simplest case, that of homology spheres. This book presents some advantages of working with locally flat embeddings. The first two chapters outline the tools used and give general results on embeddings of 3-manifolds in S4. The next two chapters consider which Seifert manifolds may embed, with criteria in terms of Seifert data. After summarizing results on those Seifert manifolds that embed smoothly, the following chapters determine which 3-manifolds with virtually solvable fundamental groups embed. The final three chapters study the complementary regions. When these have 'good' fundamental groups, topological surgery may be used to find homeomorphisms. Figures throughout help illustrate links representing embeddings and open questions are further discussed in the appendices, making this a valuable resource for graduate students and research workers in geometric topology.
In the realm of ring theory, polynomial rings emerge as indispensable algebraic structures, providing a rich and versatile framework for studying a wide array of mathematical concepts. At their core, polynomial rings serve as a natural extension of the familiar concept of polynomials in a single variable, offering a systematic way to explore algebraic expressions involving multiple variables. This chapter delves into the foundational aspects of polynomial rings, elucidating their construction, properties, and significance within the broader landscape of ring theory.
A polynomial ring is constructed by formalizing expressions involving indeterminates and coefficients, embodying a powerful algebraic structure that captures the essence of polynomial manipulation. The algebraic properties of polynomial rings are examined, their role as noncommutative rings is emphasized, and how they form a foundation for understanding diverse mathematical topics is examined. From polynomial factorization to the roots of polynomials, polynomial rings offer insights into the structure and behavior of rings, making them a cornerstone in the exploration of abstract algebra. Furthermore, the chapter will explore connections between polynomial rings and other algebraic structures, shedding light on their significance from the perspective of mathematical theory. Through this exploration, readers will gain a deeper appreciation for the elegance and applicability of polynomial rings in the context of ring theory.
The word “Integral Domain” can be interpreted in language as the domain of integrity with the idea that zero divisors are like flaws in the ring as divisibility theory is much more complex in the presence of zero divisors. The term integral comes from rings of algebraic integers—the study of which motivated the abstraction of many algebraic structures. The fact that integral domain embeds into its field of fractions as integers embed into rational supports the terminology.
In this chapter, the theory of commutative rings with unity is extended to define integral domain, which is further abstracted to fields. The study is elaborated through various examples and theorems.
Before defining integral domain, we define a special class of elements in a ring known as zero divisor.
In ring theory, factorization of polynomials constitutes a fundamental aspect of algebraic study, revealing a subtle linkage between the arithmetic properties of polynomials and their structural characteristics. At the core of this exploration lies the distinction between reducible and irreducible polynomials. Reducible polynomials can be expressed as products of two or more nonconstant polynomials, while irreducible polynomials resist such factorization, existing as prime elements within the polynomial ring. Understanding the nature of factorization sheds light on diverse algebraic phenomena and serves as a fundamental building block for various applications across mathematics and its applications.
In this chapter, we explore polynomial factorization in ring theory. We shall discuss reducible and irreducible polynomials, explore the significance of primitive polynomials, and explain the tests and algorithms used to identify the factorization properties of polynomials. Thoroughly examining the polynomial factorization, we aim to provide readers with the tools and insights necessary to understand algebraic structures and properties of polynomial rings.
Rings are algebraic structures that originated from the theory of algebraic integers. The concept was introduced by Richard Dedekind, taking inspiration from the algebraic structure of integers over complex numbers. Rings were first formalized as a generalization of Dedekinddomains that occur in number theory, and of polynomial rings and rings of invariants that occur in algebraic geometry and invariant theory. The concept of ring is an extension of groups and has a wide range of applications in mathematics and computer science. Rings are applied in the study of geometric objects, topology, cryptography and various other branches of algebra.
In the vast arena of mathematics, the emergence of ring theory as a pivotal branch of algebra owes much to the visionary insights of two more extraordinary minds: David Hilbert and Emmy Noether. At the beginning of the 20th century, Hilbert provided a unifying framework for understanding sets of numbers endowed with specific algebraic properties. Concurrently, Noether's seminal contributions, notably expounded in her 1921 paper “Ideal Theory in Rings”, brought forth profound advancements in the understanding of commutative rings, laying a robust theoretical foundation for subsequent explorations. Despite encountering formidable obstacles, including entrenched gender biases and political upheavals, Hilbert and Noether remained steadfast in their pursuit of mathematical truth.
Understanding the intricacies of ring homomorphisms is a fundamental journey into the realm of abstract algebra. Ring homomorphisms serve as essential bridges between different algebraic structures, providing a means to explore the relationships and connections within the realm of rings. A ring homomorphism is a function between two rings that preserves the ring structure, capturing the algebraic essence of the source ring in the target ring. In this journey, we encounter concepts such as kernel and image, crucial aspects that delineate the behavior of these mappings.
Exploring the properties of ring homomorphisms, we encounter concepts like injective, surjective, and bijective homomorphisms, each shedding light on different facets of the relationship between the source and target rings. Injective homomorphisms preserve distinctiveness, surjective homomorphisms cover the entire target ring, and bijective homomorphisms embody a perfect one-to-one correspondence.
In an integral domain, the notion of divisibility plays a crucial role due to its fundamental properties and implications. Divisibility provides insights into the structure of elements within the integral domain. It facilitates factorization of elements into irreducible components, which further allows to understand the structure of the domain. The concept of divisibility underpins many aspects of algebraic structures and computations. It provides a framework for understanding factorization, greatest common divisors, algebraic manipulations, prime elements and congruences, making it indispensable in various applications.
In this chapter, divisibility in an integral domain is examined in a more generalized form. The reader will be introduced to concepts like associates, prime and irreducible elements. Subsequently, the concept of Euclidean Domain is discussed. Euclidean domains emerge as captivating entities to explore the intricacies of division and factorization. Further, the chapter describes Unique Factorization Domains and Noetherian Domains. At the core of unique factorization domain, lies the concept of prime factorization, which reveals the underlying structure of numbers and polynomials alike. Within a unique factorization domain, every nonzero, non-unit element can be uniquely factored into irreducible elements in a manner that transcends the boundaries of abstract mathematics to find application in a myriad of practical domains, from cryptography and coding theory to computational algebra and beyond.
Definition 1.1 (Binary Operation) Let ðº be a non-empty set. A binary operation on ðº is a function that assigns each ordered pair of elements of ðº an element of ðº.
Definition 1.2 (Group) Let ðº be a set together with a binary operation (usually called multiplication) that assigns to each ordered pair (ð, ð) of elements of ðº an element in ðº denoted by ðð. We say ðº is a group under this operation if the following three properties are satisfied.
In the arena of abstract algebra, there's a neat idea that helps us understand rings better: subrings. They’re like smaller pieces within bigger algebraic structures. A ring may be characterized by a variety of its subsets, known as subrings. This characterization also gives a geometrical interpretation to a usual abstract ring. The concept of a subring is analogous to the concept of a subgroup in group theory. These concepts came into existence by the efforts of mathematicians like David Hilbert and Emmy Noether, who laid the foundation for modern algebra. Just like how you might break down a big puzzle into smaller parts to understand it better, subrings help us to see the patterns and properties within rings.
In this chapter, the concept of subring is explored through various examples. Then, subring test is stated to check if a given subset of a ring is a subring. The study is examined through various problems to enable readers to apprehend the notion of subring. In this chapter, we’ll take a closer look at these ideas, exploring where they came from, why they’re important, and how they’re used in real-life problems. Let's dive in and uncover the secrets of subrings together!
This book is designed as a textbook for a semester-long introductory course in abstract algebra, with a focus on ring theory. Yes, itâs a âtextbookâ, but it is not to be conceived as an encyclopedia, nor merely as an additional reference book for your shelf. This is an approachable tool for learners, guiding them through the thought-provoking terrain of ring theory, crafted to make the subject as clear and engaging as possible. We simply aim to provide undergraduate students with a solid understanding of the fundamentals of ring theory while igniting a lifelong curiosity in abstract algebra.
Ring theory, like most areas of modern algebra, has undergone significant changes and developments over the years. This is a subject where math and creativity intersect, and if youâve believed that math is just about numbers, ring theory will soon convince you otherwise. Our experience tells us that with a clear understanding of algebraic structures, students find it easier to navigate more complex ideas in areas such as coding theory, cryptography, and advanced analysis. Rest assured, weâve written this book with you, the student, in mind, so expect to find explanations that make sense without needing to pull out your hair or abandon the course.
Ideals, in modern algebra, are subrings of a mathematical ring with certain absorption properties. The concept of an ideal was first defined and developed by German mathematician Richard Dedekind in 1871. In particular, he used ideals to translate ordinary properties of arithmetic into properties of sets.
The origin of the notion of ideals in a ring lies in the idea of “ideal numbers”, numbers which are missing but are really ought to be there. Ernst Kummer invented the concept of ideal numbers to serve as the “missing” factors in number rings in which unique factorization fails; here the word “ideal” is in the sense of existing in imagination only.
In this chapter, the abstraction of ideals is explored through various examples. The study is examined through various problems to enable students to apprehend the notion of the ideals.
Given a permutation group G, the derangement graph of G is defined with vertex set G, where two elements x and y are adjacent if and only if $xy^{-1}$ is a derangement. We establish that if G is transitive with degree exceeding 30, then the derangement graph of G contains a complete subgraph with four vertices. In the process, we determine all transitive groups whose derangement graph does not contain a complete subgraph on four vertices. As a consequence, if G is a normal subgroup of A such that $|A : G| = 3$ and U is a subgroup of G satisfying $G = \bigcup _{a \in A} U^a$, then $|G : U| \leq 10$. This provides support for a conjecture by Neumann and Praeger concerning Kronecker classes.
We continue our investigation of the fractal uncertainty principle (FUP) for random fractal sets. In the prequel Eswarathasan and Han [‘Fractal uncertainty principle for discrete Cantor sets with random alphabet’, Math. Res. Lett.30(6) (2023), 1657–1679], we considered the Cantor sets in the discrete setting with alphabets randomly chosen from a base of digits so the dimension $\delta \in (0,\frac 23)$. We proved that, with overwhelming probability, the FUP with an exponent $\ge \frac 12-\frac 34\delta -\varepsilon $ holds for these discrete Cantor sets with random alphabets. In this paper, we construct random Cantor sets with dimension $\delta \in (0,\frac 23)$ in $\mathbb {R}$ via a different random procedure from the previous one used in Eswarathasan and Han [‘Fractal uncertainty principle for discrete Cantor sets with random alphabet’, Math. Res. Lett.30(6) (2023), 1657–1679]. We prove that, with overwhelming probability, the FUP with an exponent $\ge \frac 12-\frac 34\delta -\varepsilon $ holds. The proof follows from establishing a Fourier decay estimate of the corresponding random Cantor measures, which is in turn based on a concentration of measure phenomenon in an appropriate probability space for the random Cantor sets.
We study the boundedness of the Mordell–Weil rank and the growth of the v-primary part of the Tate–Shafarevich group of p-supersingular abelian varieties of $\mathrm {GL}_2$-type with real multiplication over $\mathbb Z_p$-extensions of number fields, where v is a prime lying above p. Building on the work of Iovita and Pollack in the case of elliptic curves, under precise ramification and splitting conditions on p, we construct explicit systems of local points using the theory of Lubin–Tate formal groups. We then define signed Coleman maps, which in turn allow us to formulate and analyse signed Selmer groups. Assuming these Selmer groups are cotorsion, we prove that the Mordell–Weil groups are bounded over any subextensions of the ${\mathbb Z}_p$-extension and provide an asymptotic formula for the growth of the v-primary part of the Tate–Shafarevich groups. Our results extend those of Kobayashi, Pollack, and Sprung on p-supersingular elliptic curves.