The Karp–Lipton theorem is an important result in computational complexity theory that connects the complexity classes \(P\), \(NP\), and \(PSPACE\). It was established by Richard Karp and Richard J. Lipton in the early 1980s. The theorem states that if \(NP\) problems can be solved in polynomial time by a non-deterministic Turing machine using polynomial space (i.e.
The Gap Theorem is a concept in the field of mathematics, particularly in the study of algebraic geometry and topology, though there are applications and related ideas in other areas of mathematics as well. In one of its forms, the Gap Theorem refers to a result concerning the existence of "gaps" in the spectrum of certain types of operators, particularly in the context of spectral theory.
Fagin's theorem is a fundamental result in the field of computational complexity theory, particularly concerning the classification of decision problems that can be expressed in terms of a certain type of logical formulas. Specifically, it characterizes the complexity of certain types of queries in databases. The theorem states that a decision problem is in the complexity class NP if and only if it can be expressed as a first-order logic formula with a quantifier prefix that allows for a fixed number of alternating quantifiers.
The Cook–Levin theorem, established by Stephen Cook in 1971 and independently by Leonid Levin, is a fundamental result in computational complexity theory. It states that the Boolean satisfiability problem (SAT) is NP-complete. This means that SAT is at least as hard as any problem in the complexity class NP (nondeterministic polynomial time), and any problem in NP can be reduced to SAT in polynomial time.
Blum's speedup theorem is a result in the field of computational complexity theory, specifically dealing with the relationship between the time complexity of algorithms and the computation of functions. Formulated by Manuel Blum in the 1960s, the theorem essentially asserts that if a certain function can be computed by a deterministic Turing machine within a certain time bound, then there exists an alternative algorithm (or Turing machine) that computes the same function more quickly.
The Torelli theorem is a fundamental result in algebraic geometry and the theory of Riemann surfaces, attributed to the mathematician Carlo Alberto Torelli. It essentially describes the relationship between the algebraic structure of a curve and its deformation in terms of its Jacobian.
The Oka coherence theorem is a result in complex analysis and several complex variables, particularly in the field of Oka theory. Named after Shinsuke Oka, this theorem deals with the properties of holomorphic functions and their extensions in certain types of domains.
Le Potier's vanishing theorem is a result in algebraic geometry concerning sheaf cohomology on certain types of varieties, specifically on smooth projective varieties. It is particularly concerned with the behavior of cohomology groups of coherent sheaves under the action of the derived category.
The Kodaira embedding theorem is a fundamental result in complex differential geometry that provides a criterion for when a compact complex manifold can be embedded into projective space as a complex projective variety. The theorem tackles the interplay between the geometry of a compact complex manifold and the algebraic properties of holomorphic line bundles over it.
Hurwitz's automorphisms theorem is a result in the field of group theory and topology, particularly in the study of Riemann surfaces and algebraic curves. It deals with the automorphisms of compact Riemann surfaces and their relationship to the structure of these surfaces.
The Bogomolov–Sommese vanishing theorem is a result in algebraic geometry that deals with the vanishing of certain cohomology groups associated with ample line bundles on compact Kähler manifolds.
The Birkhoff–Grothendieck theorem is a fundamental result in the field of lattice theory and universal algebra. It characterizes the representability of certain types of categories, especially in the context of complete lattice structures. **Statement of the theorem:** The Birkhoff–Grothendieck theorem states that a distributive lattice can be represented as the lattice of open sets of some topological space if and only if it is generated by its finitely generated ideals.
The Appell–Humbert theorem is a result in the theory of complex numbers and multidimensional analysis. It relates to the behavior of certain classes of functions, particularly those that are harmonic or analytic. The theorem states conditions for when a function can be expressed as a series of its values on a certain domain.
The AF + BG theorem is a concept in the field of mathematics, specifically in the area of set theory and topology. However, the notation AF + BG does not correspond to a widely recognized theorem or principle within standard mathematical literature or education. It's possible that this notation is specific to a certain context, course, or area of research that is not broadly covered.
Wirtinger's representation theorem and projection theorem are fundamental results in mathematical analysis, particularly in the fields of functional analysis and the theory of Sobolev spaces. They are often applied in the study of harmonic functions, the solution of partial differential equations, and variational problems. ### Wirtinger's Representation Theorem: The Wirtinger representation theorem provides a way to connect the Dirichlet energy of functions to their boundary conditions.
The Walsh–Lebesgue theorem is a result in the field of harmonic analysis and real analysis concerning the properties of functions represented by Walsh series, which are expansions using Walsh functions. Walsh functions are a specific orthonormal basis used in the space of square-integrable functions on the interval [0, 1].
Mergelyan's theorem is a result in complex analysis concerning the approximation of holomorphic functions (functions that are complex differentiable) on compact subsets of complex domains. Specifically, it deals with the approximation of functions by polynomials.
The Lethargy Theorem, also known as the Lethargy Principle, is a concept from the field of probability theory, often discussed in the context of computer simulations and the analysis of stochastic processes. Specifically, it deals with the tendencies of certain stochastic systems to become less responsive or "lethargic" over time under particular conditions.
Fejér's theorem is a result in the theory of Fourier series, specifically concerning the convergence of the Fourier series of a periodic function. It states that if \( f \) is a piecewise continuous function on the interval \([-L, L]\), then the sequence of partial sums of its Fourier series converges uniformly to the average of the left-hand and right-hand limits of \( f \) at each point.

Pinned article: 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!
We have two killer features:
  1. 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-calculus
    Articles 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/derivative
  2. 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.
    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.
  3. https://raw.githubusercontent.com/ourbigbook/ourbigbook-media/master/feature/x/hilbert-space-arrow.png
  4. Infinitely deep tables of contents:
    Figure 6.
    Dynamic article tree with infinitely deep table of contents
    .
    Descendant pages can also show up as toplevel e.g.: ourbigbook.com/cirosantilli/chordate-subclade
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