vector (mathematics and physics)

{{short description|Element of a vector space}}

{{Other uses|Vector (disambiguation){{!}}Vector}}

In mathematics and physics, vector is a term that refers to quantities that cannot be expressed by a single number (a scalar), or to elements of some vector spaces.

Historically, vectors were introduced in geometry and physics (typically in mechanics) for quantities that have both a magnitude and a direction, such as displacements, forces and velocity. Such quantities are represented by geometric vectors in the same way as distances, masses and time are represented by real numbers.

The term vector is also used, in some contexts, for tuples, which are finite sequences (of numbers or other objects) of a fixed length.

Both geometric vectors and tuples can be added and scaled, and these vector operations led to the concept of a vector space, which is a set equipped with a vector addition and a scalar multiplication that satisfy some axioms generalizing the main properties of operations on the above sorts of vectors. A vector space formed by geometric vectors is called a Euclidean vector space, and a vector space formed by tuples is called a coordinate vector space.

Many vector spaces are considered in mathematics, such as extension fields, polynomial rings, algebras and function spaces. The term vector is generally not used for elements of these vector spaces, and is generally reserved for geometric vectors, tuples, and elements of unspecified vector spaces (for example, when discussing general properties of vector spaces).

Vectors in Euclidean geometry

{{main|Euclidean vector}}

{{excerpt|Euclidean vector}}

Vector quantities

{{main|Vector quantity}}

{{excerpt|Vector quantity}}

Vector spaces

{{main|Vector space}}

{{excerpt|Vector space}}

Vectors in algebra

Every algebra over a field is a vector space, but elements of an algebra are generally not called vectors. However, in some cases, they are called vectors, mainly due to historical reasons.

Data represented by vectors

{{see also|Vector (data type)}}

{{Disputed section|date=November 2021}}

The set \mathbb R^n of tuples of {{mvar|n}} real numbers has a natural structure of vector space defined by component-wise addition and scalar multiplication. It is common to call these tuples vectors, even in contexts where vector-space operations do not apply. More generally, when some data can be represented naturally by vectors, they are often called vectors even when addition and scalar multiplication of vectors are not valid operations on these data.{{Disputed inline|Tuples that aren’t really vectors?|date=November 2021}} Here are some examples.

Vectors in calculus

Calculus serves as a foundational mathematical tool in the realm of vectors, offering a framework for the analysis and manipulation of vector quantities in diverse scientific disciplines, notably physics and engineering. Vector-valued functions, where the output is a vector, are scrutinized using calculus to derive essential insights into motion within three-dimensional space. Vector calculus extends traditional calculus principles to vector fields, introducing operations like gradient, divergence, and curl, which find applications in physics and engineering contexts. Line integrals, crucial for calculating work along a path within force fields, and surface integrals, employed to determine quantities like flux, illustrate the practical utility of calculus in vector analysis. Volume integrals, essential for computations involving scalar or vector fields over three-dimensional regions, contribute to understanding mass distribution, charge density, and fluid flow rates.{{citation needed|date=November 2023}}

See also

{{wiktionary|vector}}

=Vector spaces with more structure=

=Vector fields=

A vector field is a vector-valued function that, generally, has a domain of the same dimension (as a manifold) as its codomain,

=See also=

  • Ricci calculus
  • Vector Analysis, a textbook on vector calculus by Wilson, first published in 1901, which did much to standardize the notation and vocabulary of three-dimensional linear algebra and vector calculus
  • Vector bundle, a topological construction that makes precise the idea of a family of vector spaces parameterized by another space
  • Vector calculus, a branch of mathematics concerned with differentiation and integration of vector fields
  • Vector differential, or del, a vector differential operator represented by the nabla symbol \nabla
  • Vector Laplacian, the vector Laplace operator, denoted by \nabla^2, is a differential operator defined over a vector field
  • Vector notation, common notation used when working with vectors
  • Vector operator, a type of differential operator used in vector calculus
  • Vector product, or cross product, an operation on two vectors in a three-dimensional Euclidean space, producing a third three-dimensional Euclidean vector perpendicular to the original two
  • Vector projection, also known as vector resolute or vector component, a linear mapping producing a vector parallel to a second vector
  • Vector-valued function, a function that has a vector space as a codomain
  • Vectorization (mathematics), a linear transformation that converts a matrix into a column vector
  • Vector autoregression, an econometric model used to capture the evolution and the interdependencies between multiple time series
  • Vector boson, a boson with the spin quantum number equal to 1
  • Vector measure, a function defined on a family of sets and taking vector values satisfying certain properties
  • Vector meson, a meson with total spin 1 and odd parity
  • Vector quantization, a quantization technique used in signal processing
  • Vector soliton, a solitary wave with multiple components coupled together that maintains its shape during propagation
  • Vector synthesis, a type of audio synthesis
  • Phase vector

Notes

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References

  • [https://www.feynmanlectures.caltech.edu/I_11.html Vectors - The Feynman Lectures on Physics]
  • {{Cite book |last=Heinbockel |first=J. H. |title=Introduction to Tensor Calculus and Continuum Mechanics |url=http://www.math.odu.edu/~jhh/counter2.html |year=2001 |publisher=Trafford Publishing |isbn=1-55369-133-4}}
  • {{Cite book |last=Itô |first=Kiyosi |title=Encyclopedic Dictionary of Mathematics |year=1993 |edition=2nd |publisher=MIT Press |isbn=978-0-262-59020-4}}
  • {{SpringerEOM |id=V/v096340 |title=Vector |first=A.B. |last=Ivanov}}{{sfn whitelist|CITEREFIvanov2001}}
  • {{Cite book |last=Pedoe |first=Daniel |url=https://archive.org/details/geometrycomprehe0000pedo |title=Geometry: A comprehensive course |publisher=Dover |year=1988 |isbn=0-486-65812-0 |author-link=Daniel Pedoe |url-access=registration}}

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Category:Broad-concept articles