Krasner's lemma is a result in the field of number theory, specifically dealing with linear forms in logarithms of algebraic numbers. It provides conditions under which a certain linear combination of logarithms can lead to a rational approximation or a specific form of representation. The lemma is often used in Diophantine approximation and transcendency theory.
Lüroth's theorem is a result in the field of algebraic geometry and number theory, specifically concerning the field of rational functions. It states that if \( K \) is a field of characteristic zero, any finitely generated field extension \( L/K \) that is purely transcendental (i.e.
"Norm form" can refer to different concepts depending on the context, such as mathematics, particularly in linear algebra and functional analysis, or abstract algebra. Here are a couple of interpretations: 1. **Norm in Linear Algebra**: In the context of linear algebra, a norm represents a function that assigns a non-negative length or size to vectors in a vector space.
A pseudo-finite field is a structure that has properties resembling those of finite fields but is not actually finite itself. Specifically, it is an infinite field that behaves like a finite field in various algebraic respects.
A Pythagorean field is a specific type of field in mathematics that is characterized by the property that every non-zero element in the field is a sum of two squares.
A quasifield is a mathematical structure that generalizes the concept of a field. In particular, a quasifield is a set equipped with two binary operations (often referred to as addition and multiplication) that satisfy certain axioms resembling those of a field, but with some modifications. In a quasifield, the operations are defined in a way that allows for the existence of division (except by zero), meaning that every nonzero element has a multiplicative inverse.
In algebraic geometry, a **rational variety** is a type of algebraic variety that has a non-constant rational function defined on it that is, in some sense, "simple" or "well-behaved.
The Stark conjectures are a set of conjectures in number theory proposed by the mathematician Harold Stark in the 1970s. They are concerned with the behavior of L-functions, particularly the L-functions of certain algebraic number fields, and they provide a profound connection between number theory, the theory of L-functions, and algebraic invariants.
Tsen rank, named after mathematician Hsueh-Yung Tsen, is a concept in algebraic geometry and commutative algebra that relates to the behavior of fields and their extensions. Specifically, it provides a measure of the size of a field extension by analyzing the ranks of certain algebraic objects associated with the extension.
In mathematics, particularly in the context of algebra, "U-invariant" typically refers to a property of certain algebraic structures, often in relation to modules or representations over a ring or algebra. In the context of group representation theory, a subspace \( W \) of a vector space \( V \) is said to be U-invariant if it is invariant under the action of the group (or the algebra) associated with \( V \).
In the context of algebra, "valuation" refers to a function that assigns a value to elements of a certain algebraic structure, often measuring some property of those elements, such as size or divisibility. Valuation is commonly used in number theory and algebraic geometry and can apply to various mathematical objects, such as integers, rational numbers, or polynomials.
"Matrix stubs" could refer to a couple of different concepts depending on the context, but it seems there might be some confusion or ambiguity in the term itself, as it's not a widely recognized or standardized term in many areas. 1. **In Software Development:** - In the context of programming or software design, "stubs" typically refer to placeholder methods or classes that simulate the behavior of complex systems.
In the context of mathematics, particularly in category theory and algebra, a "category of modules" refers to a specific kind of category where the objects are modules and the morphisms (arrows) are module homomorphisms. Here's a brief overview: 1. **Modules**: A module over a ring is a generalization of vector spaces where the scalars are elements of a ring rather than a field.
The Dirac spectrum refers to the set of eigenvalues associated with the Dirac operator, which is a key operator in quantum mechanics and quantum field theory that describes fermionic particles. The Dirac operator is a first-order differential operator that combines both the spatial derivatives and the mass term of fermions, incorporating the principles of relativity. In a more mathematical context, the Dirac operator is typically defined on a manifold and acts on spinor fields, which transform under the action of the rotation group.
The gradient method, often referred to as Gradient Descent, is an optimization algorithm used to minimize a function by iteratively moving towards the steepest descent as defined by the negative of the gradient. It is widely used in various fields, particularly in machine learning and deep learning for optimizing loss functions. ### Key Concepts 1. **Gradient**: The gradient of a function is a vector that points in the direction of the steepest increase of that function.
In mathematics, particularly in the field of algebra, an "invariant factor" arises in the context of finitely generated abelian groups and modules. The invariant factors provide a way to uniquely express a finitely generated abelian group in terms of its cyclic subgroups and can be used to classify such groups up to isomorphism.
Liouville space is a concept used in quantum mechanics and statistical mechanics that provides a framework for describing the evolution of quantum states, particularly in the context of open quantum systems. The term is often associated with the Liouville von Neumann equation, which governs the dynamics of the density operator (or density matrix) that represents a statistical ensemble of quantum states. ### Key Concepts 1.
A moment matrix is a mathematical construct used in various fields, including statistics, signal processing, and computer vision. It typically describes the distribution of a set of data points or can capture the statistical properties of a probability distribution. Here are a couple of contexts in which moment matrices are commonly used: 1. **Statistical Moments**: In statistics, the moment of a distribution refers to a quantitative measure related to the shape of the distribution.
Ribonuclease H (RNase H) is an enzyme that plays a crucial role in RNA metabolism. It specifically recognizes and degrades RNA strands that are hybridized to DNA. This characteristic makes RNase H important for various biological processes, including DNA replication, repair, and the removal of RNA primers during DNA synthesis.
RRQR factorization is a matrix factorization method that decomposes a matrix \( A \) into the product of three matrices: \( A = Q R R^T \), where: - \( A \) is an \( m \times n \) matrix (the matrix to be factored), - \( Q \) is an \( m \times k \) orthogonal matrix (with columns that are orthonormal vectors, where \( k \leq \min(m, n)
Pinned article: ourbigbook/introduction-to-the-ourbigbook-project
Welcome to the OurBigBook Project! Our goal is to create the perfect publishing platform for STEM subjects, and get university-level students to write the best free STEM tutorials ever.
Everyone is welcome to create an account and play with the site: ourbigbook.com/go/register. We belive that students themselves can write amazing tutorials, but teachers are welcome too. You can write about anything you want, it doesn't have to be STEM or even educational. Silly test content is very welcome and you won't be penalized in any way. Just keep it legal!
Intro to OurBigBook
. Source. We have two killer features:
- topics: topics group articles by different users with the same title, e.g. here is the topic for the "Fundamental Theorem of Calculus" ourbigbook.com/go/topic/fundamental-theorem-of-calculusArticles of different users are sorted by upvote within each article page. This feature is a bit like:
- a Wikipedia where each user can have their own version of each article
- a Q&A website like Stack Overflow, where multiple people can give their views on a given topic, and the best ones are sorted by upvote. Except you don't need to wait for someone to ask first, and any topic goes, no matter how narrow or broad
This feature makes it possible for readers to find better explanations of any topic created by other writers. And it allows writers to create an explanation in a place that readers might actually find it.Figure 1. Screenshot of the "Derivative" topic page. View it live at: ourbigbook.com/go/topic/derivativeVideo 2. OurBigBook Web topics demo. Source. - local editing: you can store all your personal knowledge base content locally in a plaintext markup format that can be edited locally and published either:This way you can be sure that even if OurBigBook.com were to go down one day (which we have no plans to do as it is quite cheap to host!), your content will still be perfectly readable as a static site.
- to OurBigBook.com to get awesome multi-user features like topics and likes
- as HTML files to a static website, which you can host yourself for free on many external providers like GitHub Pages, and remain in full control
Figure 2. You can publish local OurBigBook lightweight markup files to either OurBigBook.com or as a static website.Figure 3. Visual Studio Code extension installation.Figure 5. . You can also edit articles on the Web editor without installing anything locally. Video 3. Edit locally and publish demo. Source. This shows editing OurBigBook Markup and publishing it using the Visual Studio Code extension. - Infinitely deep tables of contents:
All our software is open source and hosted at: github.com/ourbigbook/ourbigbook
Further documentation can be found at: docs.ourbigbook.com
Feel free to reach our to us for any help or suggestions: docs.ourbigbook.com/#contact