What is the definition of a vector space?

Prepare for the ASU MAT343 Applied Linear Algebra Exam with interactive quizzes and comprehensive study materials. Master linear transformations, vector spaces, and eigenvalues. Enhance your academic success with our focused exam prep resources!

A vector space is defined as a set of vectors that can be added together and multiplied by scalars, with these operations satisfying specific axioms. The key features of a vector space include the ability to perform vector addition and scalar multiplication while adhering to several axioms, such as closure, associativity, commutativity of addition, existence of a zero vector, and the existence of additive inverses.

This definition encompasses both the operations involved and the properties that must be upheld, thus establishing a structured and consistent framework for working with vectors. The inclusion of specific axioms is crucial as these conditions ensure that the vectors behave in a predictable manner within the space, allowing for the development of further linear algebra concepts and operations.

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