FAQ

What is the role of field in vector space?

What is the role of field in vector space?

The general definition of a vector space allows scalars to be elements of any fixed field F. The notion is then known as an F-vector space or a vector space over F. A field is, essentially, a set of numbers possessing addition, subtraction, multiplication and division operations.

What is difference between space and field?

A vector field is, loosely speaking, a map from some set into a vector space. A vector space is something like actual space – a bunch of points. A vector field is an association of a vector with every point in actual space. A vector space you draw as a coordinate system.

Are fields also vector spaces?

A field is a vector space over itself. So multiplication of two field elements is also scalar multiplication.

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Is a field a one dimensional vector space?

A field can always be considered to be a one dimensional vector space over itself. The field is both the field of scalars for this vector space and it is the vector space itself. So the real numbers are a one dimensional vector space over itself and the complex numbers are a one dimensional vector space over itself.

What is a vector field in calculus?

In vector calculus and physics, a vector field is an assignment of a vector to each point in a subset of space. For instance, a vector field in the plane can be visualised as a collection of arrows with a given magnitude and direction, each attached to a point in the plane.

How do you prove a field is a vector space?

Let g(s) be an arbitrary function. f+g=g when f(s)=0. In addition, if we assume g(s) to be in the space C(S,K) and f+g=g then both vectors are in the space C(S,K) and are closed under addition.

What is the difference between vector and vector field?

The difference between a vector and a vector field is that the former is one single vector while the latter is a distribution of vectors in space and time. As vector fields exist at all points of space, they can be specified along curves and surfaces as well.

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Is zero a vector space?

The simplest example of a vector space is the trivial one: {0}, which contains only the zero vector (see the third axiom in the Vector space article). Both vector addition and scalar multiplication are trivial. A basis for this vector space is the empty set, so that {0} is the 0-dimensional vector space over F.

What are the importance of vector fields and potential functions?

Vector fields are an important tool for describing many physical concepts, such as gravitation and electromagnetism, which affect the behavior of objects over a large region of a plane or of space. They are also useful for dealing with large-scale behavior such as atmospheric storms or deep-sea ocean currents.

Why do we need a vector space?

This is either very simple or very difficult to answer. The simple answer is that, when you have a vector space over a field, you have a bunch of objects that collectively satisfy the axioms of a vector field: you can add them in a commutative way, you can scale them with elements of the field, these operations interact in the right way, etc.

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What is the difference between scalar field and vector space?

Where as vector space is a set of elements associated with scalar field (R or C) which satisfies this two conditions: 1 The set of elements is closed under addition 2 The set of elements is closed under scalar multiplication with respect to scalar field R and C are fields as well as vector spaces over R.

What is a vector space X?

A vector space X is in the first place an “additive structure” satisfying the rules we associate with such structures, e.g., a + (− a) = 0, etc. In addition any vector space has associated with it a certain field F, the field of scalars for that vector space.

What is vector addition in a vector space?

A vector space consists of a set of V ( elements of V are called vectors), a field F ( elements of F are scalars) and the two operations Vector addition is an operation that takes two vectors u, v ∈ V, and it produces the third vector u + v ∈ V