In measure theory, **content** is a concept used to generalize the idea of a measure for certain sets, particularly in the context of subsets of Euclidean spaces. While measures, such as Lebesgue measure, are defined for a broader class of sets and satisfy certain properties (like countable additivity), content is often used for more irregular sets that may not have a well-defined measure under the Lebesgue measure. **Key Aspects of Content:** 1.
A Levi graph is a type of bipartite graph that provides a way to represent the relationships between points and lines (or more generally, between different types of geometric or combinatorial objects) in a projective geometry or other similar contexts. In the context of projective geometry: 1. **Vertices**: The vertices of a Levi graph can be divided into two disjoint sets, typically referred to as points and lines.
Cake-cutting refers to a problem and methodology in fair division, particularly in the context of allocating resources among multiple parties. It is often illustrated with the analogy of dividing a cake (or any divisible good) among several individuals in a way that each person believes they have received a fair share. The main goals of cake-cutting are to ensure fairness and avoid conflicts during the division process.
The Union-Closed Sets Conjecture is a problem in combinatorial set theory that deals with the properties of families of sets.
In set theory, a **universal set** is defined as the set that contains all possible elements within a particular context or discussion. It serves as a boundary for other sets being considered and encompasses all objects of interest relevant to a particular problem or situation.
Fairness criteria refer to a set of standards or principles used to evaluate and ensure equitable treatment and outcomes in various contexts, particularly in areas such as machine learning, data science, public policy, and social justice. The goal of applying fairness criteria is to mitigate bias, promote equity, and ensure that decisions and predictions are just and do not discriminate against any particular group based on characteristics such as race, gender, age, socioeconomic status, or other attributes.
The Dubins-Spanier theorems are results in the theory of stochastic processes, particularly concerning the behavior of certain classes of random walks, especially in relation to the concepts of ergodicity and recurrence. ### Key Concepts: 1. **Random Walks**: A type of stochastic process that describes a path consisting of a succession of random steps. Random walks can be one-dimensional or multidimensional and are foundational in probability theory.
Disjoint sets, also known as union-find or merge-find data structures, are a data structure that keeps track of a partition of a set into disjoint (non-overlapping) subsets. The main operations that can be performed on disjoint sets are: 1. **Find**: Determine which subset a particular element belongs to. This usually involves finding the "representative" or "root" of the set that contains the element.
Envy-free pricing is a concept that originates from the field of fair division, primarily used in economics and game theory. It refers to a pricing mechanism that ensures that no individual prefers the bundle of goods or services allocated to another individual over their own, based on their valuation. In other words, a pricing scheme is considered envy-free if every participant feels satisfied with their allocation and has no desire to exchange their allocation for someone else's.
Fair division among groups refers to the principles and methods used to allocate resources or assets among multiple parties in a way that is perceived as fair and equitable. This concept is particularly important in situations where resources are limited, and parties have different preferences or claims to those resources. Key aspects of fair division include: 1. **Equitability**: Ensuring that each party feels they have received a fair share relative to what others have.
Fair division experiments are studies or exercises aimed at understanding how resources can be divided among individuals or groups in a way that is perceived as fair by all parties involved. The concept of fair division is important in various fields, including economics, game theory, mathematics, and social sciences, and it addresses issues of equity, efficiency, and conflict resolution. Key aspects of fair division experiments include: 1. **Mathematical Foundation**: Fair division often employs mathematical methods and algorithms to create fair outcomes.
Fair division of a single homogeneous resource refers to the process of allocating a divisible and uniform resource—such as land, money, or goods—among multiple recipients in a way that is perceived as fair by all involved parties. The goal is to ensure that each participant receives a share that is equitable based on certain criteria or preferences.
Free disposal is an economic concept that refers to the ability to dispose of goods or resources without incurring any costs, restrictions, or penalties. In practical terms, it means that individuals or firms can freely discard unwanted or surplus items without having to pay disposal fees or withstand legal or regulatory barriers. In terms of production and resources, free disposal is often assumed in economic models that analyze supply and demand.
Fair division is a field in mathematics and economics that deals with dividing goods or resources among individuals in a way that is considered fair. There are several open questions and unsolved problems in this area, which researchers continue to explore.
No-justified-envy matching is a concept from the field of economics and game theory that deals with matching markets, such as job markets or school assignments, where individuals (such as workers or students) are matched to positions (such as jobs or schools) based on preferences and some form of evaluation or ranking. The idea of "no-justified-envy" refers to a condition where an individual cannot justify their envy towards another individual's match.
The "Pie Rule" is a general term that can refer to various concepts depending on the context. In the context of mathematics or optimization, it might refer to methods of equitable distribution or sharing resources, akin to slicing a pie into equal pieces. In other contexts, it could refer to behavioral rules regarding sharing or fairness, such as those seen in negotiations or game theory.
Adam Bernstein could refer to different individuals or contexts, as it is a common name. One notable mention is Adam Bernstein, a journalist and writer known for his work as an editor for The Washington Post. However, there may be other individuals named Adam Bernstein in various fields such as entertainment, business, or academia.
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