Difference between revisions of "Vector analysis"
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Divergence of a vector field is the density of outward [[Flux|flux]] at a given point in <math>\mathbb{R}^3</math>. Under this definition, divergence is often thought of as `flux density` which is the motivation for the [[Divergence theorem]]. | Divergence of a vector field is the density of outward [[Flux|flux]] at a given point in <math>\mathbb{R}^3</math>. Under this definition, divergence is often thought of as `flux density` which is the motivation for the [[Divergence theorem]]. | ||
− | '''Definition''': Let <math>\mathbf{F}:U\to\mathbb{R}^3</math> where <math>U</math> is a subset of <math>\mathbb{R}^3</math>. Then the divergence of <math>\mathbf{F}</math> evaluated at the point <math>(x_0,y_0,z_0)\in U</math> is given by | + | '''Definition''': Let <math>\mathbf{F}:U\to\mathbb{R}^3</math> where <math>U</math> is a subset of <math>\mathbb{R}^3</math>. Then the divergence of <math>\mathbf{F}</math> evaluated at the point <math>(x_0,y_0,z_0)\in U</math> is given by <cmath>\text{div}(\mathbf{F})|_{x=x_0,y=y_0,z=z_0}} = \lim_{V(R)\to 0} \frac{1}{V(R)}\iint_{\partial R}\mathbf{F}\cdot\mathbf{n}\,dS,</cmath> where <math>R</math> is a region whose volume <math>V(R)</math> shrinks to <math>0</math> about the point <math>(x_0,y_0,z_0)</math>, <math>\partial R</math> is the boundary of <math>R</math>, <math>\mathbf{n}</math> is the outward unit normal of <math>\mathbf{F}</math> relative to <math>R</math>, and <math>dS</math> is an area element of <math>R</math>. |
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− | \text{div}(\mathbf{F})|_{x=x_0,y=y_0,z=z_0}} = \lim_{V(R)\to 0} \frac{1}{V(R)}\iint_{\partial R}\mathbf{F}\cdot\mathbf{n}\,dS, | ||
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− | where <math>R</math> is a region whose volume <math>V(R)</math> shrinks to <math>0</math> about the point <math>(x_0,y_0,z_0)</math>, <math>\partial R</math> is the boundary of <math>R</math>, <math>\mathbf{n}</math> is the outward unit normal of <math>\mathbf{F}</math> relative to <math>R</math>, and <math>dS</math> is an area element of <math>R</math>. | ||
{{stub}}[[Category:Calculus]] | {{stub}}[[Category:Calculus]] |
Revision as of 05:13, 21 December 2022
``Vector analysis`` or ``vector calculus`` is the mathematical field dedicated to studying the methods of calculus such as differentiation and integration applied to vector fields. In modern mathematics, vector analysis is often taken to be sub-field of differential geometry. In terms of university course listings, it is common to use the word "vector calculus" synonymously with multivariable calculus.
Application-wise, vector analysis plays significant roles in the sciences and engineering. In physics, vector analysis is used heavily in the study of electromagnetism among various other fields of physics. In engineering, vector analysis often shows up in the form of the Cauchy stress tensor. Another significant application of vector analysis is to fluid dynamics. In particular, one can describe the Euler equations via the methods of vector analysis.
Contents
Classical Vector Analysis
Classical vector analysis largely is based developing the methods of calculus for . At the time when vector analysis was relatively new, it was common to perceive applied mathematics from only a 3-dimensional perspective as it is commonly propagated that the physical space that is observable is that of 3-dimensional Euclidean space. This is not completely true and necessitates generalizations of traditional vector analysis.
Scalar fields
A scalar field is traditionally a map where
is a subset of
. In other words,
is a map that assigns a real-valued scalar to every point in
. Generally, this scalar will represent some type of quantity such as potential in physics.
Vector fields
A vector field in the traditional sense is a map where
is a subset of
. That is,
associates a vector in
to every point in
. Typically, this construction is used to represent some kind of direction along with a quantity being associated with to a specific point in
. This may be electric fields, magnetic fields, or even fields that model fluid flow.
Differentiation
In the world of vector analysis, various forms of differential operators exist. Most notable are that of divergence, curl, the gradient, and the Laplacian.
Divergence
Divergence of a vector field is the density of outward flux at a given point in . Under this definition, divergence is often thought of as `flux density` which is the motivation for the Divergence theorem.
Definition: Let where
is a subset of
. Then the divergence of
evaluated at the point
is given by
\[\text{div}(\mathbf{F})|_{x=x_0,y=y_0,z=z_0}} = \lim_{V(R)\to 0} \frac{1}{V(R)}\iint_{\partial R}\mathbf{F}\cdot\mathbf{n}\,dS,\] (Error compiling LaTeX. Unknown error_msg)
where is a region whose volume
shrinks to
about the point
,
is the boundary of
,
is the outward unit normal of
relative to
, and
is an area element of
.
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