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Semiset

Semiset is a science topic covered in the lgStudy science library. This page brings together a partial reference excerpt, illustrations, worked examples, real-world applications and a short study plan, so you can understand Semiset rather than just read about it. In short: In set theory, a semiset is a proper class that is a subclass of a set. In the typical foundations of Zermelo–Fraenkel set theory, semisets are impossible due to the axiom schema of specification.

Key takeaways

  • Semiset belongs to science; place it in that map before memorising details.
  • Learn the definition first, then one example that makes the definition concrete.
  • Connect Semiset to a quantity you can measure, compute or draw — that is where exam questions come from.
  • Reproduce the core statement of Semiset from memory before moving on to harder problems.

Reference excerpt

In set theory, a semiset is a proper class that is a subclass of a set. In the typical foundations of Zermelo–Fraenkel set theory, semisets are impossible due to the axiom schema of specification. The theory of semisets was proposed and developed by Czech mathematicians Petr Vopěnka and Petr Hájek (1972). It is based on a modification of the von Neumann–Bernays–Gödel set theory; in standard NBG, the existence of semisets is precluded by the axiom of separation. The concept of semisets opens the way for a formulation of an alternative set theory. In particular, Vopěnka's Alternative Set Theory (1979) axiomatizes the concept of semiset, supplemented with several additional principles. Semisets can be used to represent sets with imprecise boundaries. Novák (1984) studied approximation of semisets by fuzzy sets, which are often more suitable for practical applications of the modeling of imprecision.

Vopěnka's alternative set theory Vopěnka's "Alternative Set Theory" builds on some ideas of the theory of semisets, but also introduces more radical changes: for example, all sets are "formally" finite, which means that sets in AST satisfy the law of mathematical induction for set-formulas (more precisely: the part of AST that consists of axioms related to sets only is equivalent to the Zermelo–Fraenkel (or ZF) set theory, in which the axiom of infinity is replaced by its negation). However, some of these sets contain subclasses that are not sets, which makes them different from Cantor (ZF) finite sets and they are called infinite in AST. The following axioms hold for sets.

Extensionality - Sets with the same elements are the same. Empty set: ∅ exists. Successor: For any sets x {\displaystyle x} and y {\displaystyle y} , x ∪ { y } {\displaystyle x\cup \{y\}} exists. Induction: Every formula ϕ {\displaystyle \phi } expressed in the language of sets only (all parameters are sets and all quantifiers are restricted to sets) and true of ∅ and true of x ∪ { y } {\displaystyle x\cup \{y\}} if it is true of x {\displaystyle x} is true of all sets. Regularity: Every set has an element disjoint from it. The following axioms hold for all classes.

Existence of classes: If ϕ ( x ) {\displaystyle \phi (x)} is any formula, then the class ϕ ( x ) {\displaystyle \phi (x)} of all sets x such that ϕ ( x ) {\displaystyle \phi (x)} exists. (The set x {\displaystyle x} is identified with the class of elements of x {\displaystyle x} .) Note that Kuratowski pairs of sets are sets, and so we can define (class) relations and functions on the universe of sets much as usual. Extensionality for classes: Classes with the same elements are equal. Axiom of proper semisets: There is a proper semiset. Prolongation axiom: Each countable function F can be extended to a set function. Axiom of extensional coding: Every collection of classes which is codable is extensionally codable. Vopenka considers representations of superclasses of classes using relations on sets. A class relation R on a class A is said to code the superclass of inverse images of elements of A under R. A class relation R on a class A is said to extensionally code this superclass if distinct elements of A have distinct preimages. Axiom of cardinalities: If two classes are uncountable, they are the same size.

References Vopěnka, P., and Hájek, P. The Theory of Semisets. Amsterdam: North-Holland, 1972. Vopěnka, P. Mathematics in the Alternative Set Theory. Teubner, Leipzig, 1979. Holmes, M.R. Alternative Axiomatic Set Theories, §9.2, Vopenka's alternative set theory. In E. N. Zalta (ed.): The Stanford Encyclopedia of Philosophy (Fall 2014 Edition). Novák, V. "Fuzzy sets—the approximation of semisets." Fuzzy Sets and Systems 14 (1984): 259–272. Proceedings of the 1st Symposium Mathematics in the Alternative Set Theory. JSMF, Bratislava, 1989.

Worked examples

Example 1 — a first encounter with Semiset

Start with the simplest possible case. Write down what Semiset claims or describes in one sentence, then invent the smallest concrete situation in which that sentence is true. In science, the smallest case is usually a single object, a single equation or a single measurement. Check that every symbol or term in your sentence has a meaning in that case.

Example 2 — changing one variable

Take the situation from Example 1 and change exactly one quantity: double it, halve it, or set it to zero. Predict what should happen to Semiset before you calculate. Comparing your prediction with the result is the fastest way to find out whether you understand the idea or only the words.

Example 3 — an exam-style question

Typical questions about Semiset ask you to (a) state it precisely, (b) apply it to given data, and (c) explain a limitation. Practise writing all three answers in under five minutes; the third part is what separates a full-mark answer from an average one.

Applications of Semiset

In research
Semiset appears in science research whenever the underlying quantities have to be modelled precisely. Papers usually cite it as a starting assumption and then explore where it breaks down.
In technology and industry
Engineering practice reuses Semiset in design rules, simulations and safety margins. Knowing the idea lets you read a specification sheet and understand why the numbers look the way they do.
In the classroom
Semiset is common in secondary-school and first-year university syllabi. It links to neighbouring topics Systems of set theory, so understanding it makes those chapters shorter.
In everyday life
Look for Semiset outside the textbook — in sport, cooking, traffic, electronics or the sky above you. An example you found yourself is remembered far longer than one you were given.
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How to study Semiset in 20 minutes

  1. Read the reference excerpt below once, without taking notes.
  2. Close the page and write down what Semiset means in your own words.
  3. Compare your version with the excerpt and mark what you missed.
  4. Work through the three examples above with pen and paper.
  5. Explain Semiset out loud to somebody else — or to Teacher Smith in the lgStudy chat.

Frequently asked questions

What is Semiset in simple terms?

In set theory, a semiset is a proper class that is a subclass of a set. In the typical foundations of Zermelo–Fraenkel set theory, semisets are impossible due to the axiom schema of specification.

Why does Semiset matter?

Because it connects several science ideas at once: it gives you a definition you can apply, a quantity you can calculate, and a way to check whether a result is plausible.

How should I study Semiset?

Read the excerpt, restate it from memory, then work through the examples and applications listed on this page. The five-step study plan above takes about twenty minutes.

What does this page cover?

It gives you a compact reference excerpt plus original lgStudy explanations, examples, applications and study material on Semiset.

Tags

  • Systems of set theory

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