Concept

Union (set theory)

Related lectures (25)

Covers the basics of sets and operations in mathematics, from set properties to advanced operations.

Covers the generalities of functions, including the definition of an application between sets and the uniqueness of elements in the image set.

Explores path integrals in quantum field theory, emphasizing the significance of Wick rotation and the classical case.

Explores set identities as analogues of logical equivalences in propositional logic.

Discusses group rotation, hygiene rules, and set operations in Autumn 2020.

Covers the basics of analysis, including real numbers, proofs, sets, and operations.

Introduces sets as unordered collections of objects and explains set description methods, examples, and types of numbers.

Introduces sets as unordered collections of objects and covers set descriptions, numbers, and important properties.

Introduces fundamental concepts of linear algebra, focusing on sets and operations.

Introduces Cartesian product and induction for proofs using integers and sets.

Covers predicate logic and sets theory, explaining how to manipulate logical expressions.

Covers set identities and different approaches to prove them, including set builder notation and membership tables.

Introduces sets in discrete mathematics and explores proof techniques like direct and indirect proofs.

Covers set operations and their relations to propositional logic, including cardinality.

Introduces mathematical induction principles and applications, including inequalities, divisibility, subsets, and strong induction.

Introduces sets and functions, covering union, intersection, complement, functions terminology, and set operations analogies.

Introduces set union, its properties, and examples with Euler course contest participants.

Discusses angle conjectures, false claims, geometric configurations, and finding collections of sets.

Introduces set intersection, its properties, and its relation to arithmetic operations.

Covers tuples, sets, and dictionaries in Python, explaining their similarities and differences, common operations, and key concepts.