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Everything about Vector space

Algebraic structure in linear algebra

In mathematics, a vector space is a set whose elements, often called vectors, can be added together and multiplied ("scaled") by numbers called scalars. The operations of vector addition and scalar multiplication must satisfy certain requirements, called vector axioms. Real vector spaces and complex vector spaces are kinds of vector spaces based on different kinds of scalars: real numbers and complex numbers. Scalars can also be, more generally, elements of any field. Wikipedia →

đź§­ Start here: a 6-step reading path

  1. Read the overview: Vector spaceA 5-minute orientation
  2. Skim a recent paper: Vector space-time wave packetsInfluential work since 2022
  3. Pick up a classic book: A Course in Mathematical AnalysisThe most-reprinted book on the subject
  4. Read the landmark paper: A vector space model for automatic indexingCited 5,057 times
  5. Go sideways: Examples of vector spacesA closely related topic
  6. Go sideways: Linear mapA closely related topic

đź“– Definitions

Noun A set of elements called vectors, together with some field and operations called addition (mapping two vectors to a vector) and scalar multiplication (mapping a vector and an element in the field to a vector), satisfying a list of constraints; equivalently, a module over a field.

🏆 Landmark papers (most cited)

🆕 Influential since 2022

📚 Books worth reading

Ranked by number of editions on Open Library, a rough measure of how lasting a book is.

đź”— Related topics