Vector Space Examples

Various examples of vector spaces are:

Real Numbers (ℝ): Set of all real numbers forms a vector space under standard addition and scalar multiplication. For example, any two real numbers can be added together (resulting in another real number), and any real number can be multiplied by a scalar (another real number) to give another real number.

Euclidean Space (ℝn): This is the classic n-dimensional vector space where vectors are represented as n-tuples of real numbers. For example, in ℝ3 (3-dimensional Euclidean space), vectors could be represented as (x, y, z), where x, y, and z are real numbers.

Polynomials: Set of all polynomials with coefficients from a field (like ℝ or ℂ) forms a vector space. For example, the set of all quadratic polynomials ax2 + bx + c, where a, b, and c are real numbers, is a vector space under polynomial addition and scalar multiplication.

Matrices: Set of all matrices of a fixed size (e.g., m x n matrices) with entries from a field forms a vector space. Matrices can be added together element-wise, and scalar multiplication involves multiplying each element of the matrix by a scalar.

What is Difference between Vector and Vector Space?

A vector is a mathematical object that has both magnitude and direction, while a vector space is a mathematical structure consisting of a set of vectors along with operations of addition and scalar multiplication, satisfying specific properties. Vectors are elements of vector spaces, providing the algebraic framework for studying linear relationships and operations.

Is Zero a Vector Space?

A set containing only the zero vector is called a vector space, it is also called a Zero vector Space(Trivial Vector Space). This vector satisfies all the axion of vector space and hence is called vector space.

Vector Space- Definition, Axioms, Properties and Examples

A vector space is a group of objects called vectors, added collectively and multiplied by numbers, called scalars. Scalars are usually considered to be real numbers. But there are few cases of scalar multiplication by rational numbers, complex numbers, etc. with vector spaces.

In this article, we have covered Vector Space Definition, Axions, Properties and others in detail.

Table of Content

  • What is Vector Space?
  • Vector Space Axioms
  • Vector Space Examples
  • Dimension of a Vector Space
  • Vector Addition and Scalar Multiplication
  • Vector Space Properties
  • Subspaces

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What is Vector Space?

A space in mathematics comprised of vectors, that follow the associative and commutative law of addition of vectors and the associative and distributive process of multiplication of vectors by scalars is called vector space. In vector space, it consists of a set of V (elements of V are called vectors), a field F (elements of F are scalars) and the two arithmetic operations...

Vector Space Axioms

Ten axioms can define vector space. Let x, y, & z be the elements of the vector space V and a & b be the elements of the field F....

Vector Space Examples

Various examples of vector spaces are:...

Dimension of a Vector Space

Number of vectors in a basis for V is called the dimension of V....

Vector Addition and Scalar Multiplication

Vector addition and scaler multiplication are two main concept in vector space that are explained below:...

Vector Space Properties

Some important properties of vector space are:...

Subspaces

A subset W of a vector space V is called a subspace of V if W is itself a vector space under the addition and scalar multiplication defined on V....

Difference Between Vector Space and Euclidean Space

Vector Space Euclidean Space Vector space is an abstract algebraic structure defined by vector addition and scalar multiplication Euclidean space is a geometric space characterized by distances and coordinates. Vector space focuses on the algebraic properties of vectors and their operations Euclidean space focuses on the geometric properties of points, lines, distances, and angles within a specific coordinate system. Vector spaces are used in linear algebra and various mathematical theories. Euclidean spaces are used extensively in geometry, physics, engineering, and other fields where spatial relationships and measurements are important...

Applications of Vector Spaces

When an object is made up of multiple components it is often useful to represent the object as a vector, with one entry per component. The examples discussed in this section involve molecules, which are made up of atoms, and text documents, which are made up of words....

FAQs on Vector Space

What is a Vector Space?...

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