Miscellaneous

Does a basis have to be countable?

Does a basis have to be countable?

The first concept is defined for any vector space and the axiom of choice guarantees that any vector space have a Hamel basis, but this basis might be uncountable. In such a basis any vector can be expressed as finite linear combination of elements of the basis.

Can a basis be uncountable?

Yes. Any basis of the real vector space R over the rationals Q is uncountable; such basis is called Hamel Basis.

How do you find the basis in linear algebra?

A linearly independent spanning set for V is called a basis. Equivalently, a subset S ⊂ V is a basis for V if any vector v ∈ V is uniquely represented as a linear combination v = r1v1 + r2v2 + ··· + rkvk, where v1,…,vk are distinct vectors from S and r1,…,rk ∈ R. Examples.

Does every linear space have a basis?

Summary: Every vector space has a basis, that is, a maximal linearly inde- pendent subset. Every vector in a vector space can be written in a unique way as a finite linear combination of the elements in this basis.

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Can a basis be infinite?

Infinitely dimensional spaces A space is infinitely dimensional, if it has no basis consisting of finitely many vectors. By Zorn Lemma (see here), every space has a basis, so an infinite dimensional space has a basis consisting of infinite number of vectors (sometimes even uncountable).

What does a basis?

Definition of basis 1 : the bottom of something considered as its foundation. 2 : the principal component of something Fruit juice constitutes the basis of jelly.

Why is basis important in linear algebra?

In my opinion, basis is important because it can help us to solve many problems in linear algebra. For example, whole Vector Space can be represented via it’s basis vectors, and then you can seek for other vectors in that vector space by making linear combinations from basis vectors.

Does r n have a countable basis?

For example, Euclidean space (Rn) with its usual topology is second-countable. Although the usual base of open balls is uncountable, one can restrict to the collection of all open balls with rational radii and whose centers have rational coordinates. This restricted set is countable and still forms a basis.

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What is basis and dimension in linear algebra?

An important result in linear algebra is the following: Every basis for V has the same number of vectors. The number of vectors in a basis for V is called the dimension of V, denoted by dim(V). A vector space that consists of only the zero vector has dimension zero.

Is a basis a subspace?

A subspace of a vector space is a collection of vectors that contains certain elements and is closed under certain operations. A basis for a subspace is a linearly independent set of vectors with the property that every vector in the subspace can be written as a linear combination of the basis vectors.

What does basis mean in linear algebra?

Basis (linear algebra) update. Given a basis of a vector space, every element of the vector space can be expressed uniquely as a finite linear combination of basis vectors. Every vector space has a basis, and all bases of a vector space have the same number of elements, called the dimension of the vector space.

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What is the definition of basis vector?

Defination of basis vector: If you can write every vector in a given space as a linear combination of some vectors and these vectors are independent of each other then we call them as basis vectors for that given space. Properties of basis vector: If I multiply v1 by any scalar, I will never be able to get the vector v2.

What is a base in math?

A basis is a set of vectors that generates all elements of the vector space and the vectors in the set are linearly independent. This is what we mean when creating the definition of a base. It is useful understand an relation between all vectors of the space.

What is the definition of basis in physics?

For a more general concept in physics, see frame of reference. In linear algebra, a basis is a set of linearly independent vectors that, in a linear combination, can represent every vector in a given vector space or free module, or, more simply put, which define a “coordinate system” (as long as the basis is given a definite order).