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| {{Calculus}}
| | August 1, 2013 - You should know what fits into your budget when it comes to clothing so do the appropriate research to learn. You can get some thoughts from a many different resources, and with the knowledge you will get comfortable with your thing as a whole. Learn how fashion plays to your own life and just what it can mean for you.<br><br>Consider wedged heels! They are popular now; on sandals or boots. The majority of females love this heel type, as it lengthens and slims the entire appearance of these bodies. If you are searching to purchase wedged heels, avoid getting ones that have been too thick, as they possibly can prevent you from walking properly.<br><br>You will not look fashionable when you have on the wrong accessories. Accessories including earrings, necklaces, bracelets, watches and lots of other items are available. Adding good shoes in your outfit combined with perfect hairstyle is the reason why you fashionable. When you have trouble accessorizing, consult a couple of fashion magazines or blogs for tips and inspiration.<br><br>Magazines are a very helpful tool for fashion or [http://jungserv.dothome.co.kr/xe/?document_srl=299496 LG Optimus L9 P769], as they can provide you with hints in what the latest trends are. Taking a look at and reading these magazines can offer great advice you may use.<br><br>Never buy white [http://www.Youtube.com/watch?v=KgqyCJ8T3z8 clothing] if you can't inspect it first inside a well light dressing room. Lots of people wind up with see-through clothing since they fail to get a good look at it first. Suit your bra towards the color of your skin layer if your top is white.<br><br>Avoid floral patterns with large shapes and flowers if you are a plus size. These larger patterns will not be flattering simply because they emphasize your size. Wearing clothing with smaller flower shapes will require the focus out of your size therefore making you appear thinner.<br><br>Be cautious about sizing. Test each piece of clothing to obtain the one that looks the very best on you. Sizes today tend to be less consistent, being based on things besides just measurements. The main difference can vary widely from brand to another location. If you are brave enough to buy clothes off a web site, carefully examine their sizing chart first. Also, take a look at their return guarantee to make sure you can send back something that you don't like.<br><br>Subscribe to at least one fashion magazine or newsletter, so you stay up-to-date with fashion trends. This will assist to give you all of the information on the fashion trends that are in this season.<br><br>Once you learn someone that is knowledgeable about fashion, you need to talk to them regularly. They may be a great source of information regarding upcoming trends and looks to try, and so they may even be ready to shop along with you. This can keep you in the know when it comes to fashion.<br><br>When looking for white clothing, avoid dark changing rooms as you want to see the actual way it looks during the day. Some white clothing is semi-transparent, so avoid that by checking them out before you buy them. A bright white shirt could be very see-through so make certain you wear a neutral colored bra beneath it.<br><br>Don't assume all colors match, so if you are unsure, consult a colour specialist to help you coordinate your wardrobe. The consultant can help you choose the colors which are right for you based on your individual skin tone, eye color and hair color. Choosing flattering colors will help you look your best at all times.<br><br>Prior to getting ready to get rid of your beauty items, use every last ounce of it. 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Add bright belts to simple jeans for any trendy look or wear a black someone to look sophisticated.<br><br>Go ahead and suggest going shopping with a friend who's clothing outfits you are trying to improve. Sometimes, people need others' opinions to discover something that works for them.<br><br>If you're wearing a bonus size and wish to look smaller, steer clear of floral patterns with large shapes and flowers. The larger patterns will disclose the fact that you are large too, and will not be a stylish choice for you. Rather, select a floral pattern which includes small flowers to de-emphasize your size.<br><br>Underwear is much more of a crucial part of fashion than you know. Your underwear give you the foundation for all you wear. Wearing the best underwear for your will make everything look better you. Get yourself properly measured to your underwear.<br><br>Are you searching for fashion advice? It could be a hot date, a friend's wedding, or even a reunion. 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| {{distinguish|geometric calculus}}
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| | |
| '''Vector calculus''' (or '''vector analysis''') is a branch of [[mathematics]] concerned with [[derivative|differentiation]] and [[integral|integration]] of [[vector field]]s, primarily in 3 dimensional [[Euclidean space]] <math>\mathbb{R}^3.</math> The term "vector calculus" is sometimes used as a synonym for the broader subject of [[multivariable calculus]], which includes vector calculus as well as [[partial derivative|partial differentiation]] and [[multiple integral|multiple integration]]. Vector calculus plays an important role in [[differential geometry]] and in the study of [[partial differential equation]]s. It is used extensively in [[physics]] and [[engineering]], especially in the description of
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| [[electromagnetic field]]s, [[gravitational field]]s and [[fluid flow]].
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| Vector calculus was developed from [[quaternion]] analysis by [[J. Willard Gibbs]] and [[Oliver Heaviside]] near the end of the 19th century, and most of the notation and terminology was established by Gibbs and [[Edwin Bidwell Wilson]] in their 1901 book, ''[[Vector Analysis]]''. In the conventional form using cross products, vector calculus does not generalize to higher dimensions, while the alternative approach of [[geometric algebra]], which uses [[exterior product]]s does generalize, as [[#Generalizations|discussed below]].
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| ==Basic objects==
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| The basic objects in vector calculus are [[scalar field]]s (scalar-valued functions) and [[vector field]]s (vector-valued functions). These are then combined or transformed under various operations, and integrated. In more advanced treatments, one further distinguishes [[pseudovector]] fields and [[pseudoscalar]] fields, which are identical to vector fields and scalar fields except that they change sign under an orientation-reversing map: for example, the curl of a vector field is a pseudovector field, and if one reflects a vector field, the curl points in the opposite direction. This distinction is clarified and elaborated in geometric algebra, as described below.
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| ==Vector operations==
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| ===Algebraic operations===
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| The basic algebraic (non-differential) operations in vector calculus are referred to as '''vector algebra''', being defined for a vector space and then globally applied to a vector field, and consist of:
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| ;[[scalar multiplication]]: multiplication of a scalar field and a vector field, yielding a vector field: <math>a \bold{v}</math>;
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| ;[[vector addition]]: addition of two vector fields, yielding a vector field: <math>\bold{v}_1 + \bold{v}_2</math>;
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| ;[[dot product]]: multiplication of two vector fields, yielding a scalar field: <math>\bold{v}_1 \cdot \bold{v}_2</math>;
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| ;[[cross product]]: multiplication of two vector fields, yielding a vector field: <math>\bold{v}_1 \times \bold{v}_2</math>;
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| There are also two [[triple product]]s:
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| ;[[scalar triple product]]: the dot product of a vector and a cross product of two vectors: <math>\bold{v}_1\cdot\left( \bold{v}_2\times\bold{v}_3 \right)</math>;
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| ;[[vector triple product]]: the cross product of a vector and a cross product of two vectors: <math>\bold{v}_1\times\left( \bold{v}_2\times\bold{v}_3 \right)</math> or <math>\left( \bold{v}_3\times\bold{v}_2\right)\times\bold{v}_1 </math>;
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| although these are less often used as basic operations, as they can be expressed in terms of the dot and cross products.
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| ===Differential operations===
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| Vector calculus studies various [[differential operator]]s defined on scalar or vector fields, which are typically expressed in terms of the [[del]] operator (<math>\nabla</math>), also known as "nabla". The five most important differential operations in vector calculus are:
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| {| class="wikitable" style="text-align:center"
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| |-
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| !Operation!!Notation!!Description!!Domain/Range
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| |-
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| ![[Gradient]]
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| |<math>\operatorname{grad}(f)=\nabla f</math>
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| |Measures the rate and direction of change in a scalar field.
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| |Maps scalar fields to vector fields.
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| |-
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| ![[Curl (mathematics)|Curl]]
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| |<math>\operatorname{curl}(\mathbf{F})=\nabla\times\mathbf{F}</math>
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| |Measures the tendency to rotate about a point in a vector field.
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| |Maps vector fields to (pseudo)vector fields.
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| |-
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| ![[Divergence]]
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| |<math>\operatorname{div}(\mathbf{F})=\nabla\cdot\mathbf{F}</math>
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| | Measures the scalar of a source or sink at a given point in a vector field. || Maps vector fields to scalar fields.
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| |-
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| ![[Vector Laplacian]]
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| |<math>\nabla^2\mathbf{F}=\nabla(\nabla\cdot\mathbf{F})-\nabla\times(\nabla\times\mathbf{F})</math>
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| |A composition of the curl and gradient operations.
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| |Maps between vector fields.
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| |-
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| ![[Laplace operator|Laplacian]]
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| |<math>\Delta f=\nabla^2 f=\nabla\cdot \nabla f</math>
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| |A composition of the divergence and gradient operations.
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| |Maps between scalar fields.
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| |}
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| where the curl and divergence differ because the former uses a [[cross product]] and the latter a [[dot product]], <math>f</math> denotes a scalar field and <math>F</math> denotes a vector field. A quantity called the [[Jacobian matrix and determinant|Jacobian]] is useful for studying functions when both the domain and range of the function are multivariable, such as a [[change of variables]] during integration.
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| ==Theorems==
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| Likewise, there are several important theorems related to these operators which generalize the [[fundamental theorem of calculus]] to higher dimensions:
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| {| class="wikitable" style="text-align:center"
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| |-
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| ! Theorem !! Statement !! Description
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| |-
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| ! [[Gradient theorem]]
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| | <math> \int_{L[\mathbf p \to \mathbf q] \subset \mathbb R^n} \nabla\varphi\cdot d\mathbf{r} = \varphi\left(\mathbf{q}\right)-\varphi\left(\mathbf{p}\right) </math> || The [[line integral]] through a gradient (vector) field equals the difference in its scalar field at the endpoints of the [[curve]] ''L''.
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| |-
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| ! [[Green's theorem]]
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| | <math> \int\!\!\!\!\int_{A\,\subset\mathbb R^2} \left (\frac{\partial M}{\partial x} - \frac{\partial L}{\partial y}\right)\, d\mathbf{A}=\oint_{\partial A} \left ( L\, dx + M\, dy \right ) </math> || The integral of the scalar curl of a vector field over some region in the plane equals the line integral of the vector field over the closed curve bounding the region oriented in the counterclockwise direction.
| |
| |-
| |
| ! [[Kelvin-Stokes theorem|Stokes' theorem]]
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| | <math> \int\!\!\!\!\int_{\Sigma\,\subset\mathbb R^3} \nabla \times \mathbf{F} \cdot d\mathbf{\Sigma} = \oint_{\partial\Sigma} \mathbf{F} \cdot d \mathbf{r} </math> || The integral of the curl of a vector field over a [[surface]] in <math>\mathbb R^3</math> equals the line integral of the vector field over the closed curve bounding the surface.
| |
| |-
| |
| ! [[Divergence theorem]]
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| | {{oiint
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| | preintegral = <math>\int\!\!\!\!\int\!\!\!\!\int_{V\,\subset\mathbb R^3}\left(\nabla\cdot\mathbf{F}\right)d\mathbf{V}=</math>
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| | intsubscpt = <math>\scriptstyle \partial V</math>
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| | integrand = <math>\mathbf F\;\cdot{d}\mathbf S </math>
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| }}
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| || The integral of the divergence of a vector field over some solid equals the integral of the [[flux]] through the closed surface bounding the solid.
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| |}
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| ==Generalizations==
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| ===Different 3-manifolds===
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| Vector calculus is initially defined for [[Euclidean space|Euclidean 3-space]], <math>\mathbb{R}^3,</math> which has additional structure beyond simply being a 3-dimensional real vector space, namely: an [[inner product]] (the [[dot product]]), which gives a notion of length (and hence angle), and an [[orientation (mathematics)|orientation]], which gives a notion of left-handed and right-handed. These structures give rise to a [[volume form]], and also the [[cross product]], which is used pervasively in vector calculus.
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| The gradient and divergence require only the inner product, while the curl and the cross product also requires the handedness of the [[coordinate system]] to be taken into account (see [[Cross product#Cross product and handedness|cross product and handedness]] for more detail). | |
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| Vector calculus can be defined on other 3-dimensional real vector spaces if they have an inner product (or more generally a symmetric [[nondegenerate form]]) and an orientation; note that this is less data than an isomorphism to Euclidean space, as it does not require a set of coordinates (a frame of reference), which reflects the fact that vector calculus is invariant under rotations (the [[special orthogonal group]] SO(3)).
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| More generally, vector calculus can be defined on any 3-dimensional oriented [[Riemannian manifold]], or more generally [[pseudo-Riemannian manifold]]. This structure simply means that the [[tangent space]] at each point has an inner product (more generally, a symmetric nondegenerate form) and an orientation, or more globally that there is a symmetric nondegenerate [[metric tensor]] and an orientation, and works because vector calculus is defined in terms of tangent vectors at each point.
| |
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| === Other dimensions ===
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| Most of the analytic results are easily understood, in a more general form, using the machinery of [[differential geometry]], of which vector calculus forms a subset. Grad and div generalize immediately to other dimensions, as do the gradient theorem, divergence theorem, and Laplacian (yielding [[harmonic analysis]]), while curl and cross product do not generalize as directly.
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| From a general point of view, the various fields in (3-dimensional) vector calculus are uniformly seen as being ''k''-vector fields: scalar fields are 0-vector fields, vector fields are 1-vector fields, pseudovector fields are 2-vector fields, and pseudoscalar fields are 3-vector fields. In higher dimensions there are additional types of fields (scalar/vector/pseudovector/pseudoscalar corresponding to 0/1/''n''−1/''n'' dimensions, which is exhaustive in dimension 3), so one cannot only work with (pseudo)scalars and (pseudo)vectors.
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| In any dimension, assuming a nondegenerate form, grad of a scalar function is a vector field, and div of a vector field is a scalar function, but only in dimension 3 and 7 [http://www.springerlink.com/content/r3p3602pq2t10036/] (and, trivially, dimension 0) is the curl of a vector field a vector field, and only in 3 or [[seven-dimensional cross product|7]] dimensions can a cross product be defined (generalizations in other dimensionalities either require <math>n-1</math> vectors to yield 1 vector, or are alternative [[Lie algebra]]s, which are more general antisymmetric bilinear products). The generalization of grad and div, and how curl may be generalized is elaborated at [[Curl_%28mathematics%29#Generalizations|Curl: Generalizations]]; in brief, the curl of a vector field is a [[bivector]] field, which may be interpreted as the [[special orthogonal Lie algebra]] of infinitesimal rotations; however, this cannot be identified with a vector field because the dimensions differ - there are 3 dimensions of rotations in 3 dimensions, but 6 dimensions of rotations in 4 dimensions (and more generally <math>\textstyle{\binom{n}{2}=\frac{1}{2}n(n-1)}</math> dimensions of rotations in ''n'' dimensions).
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| There are two important alternative generalizations of vector calculus. The first, [[geometric algebra]], uses [[multivector|''k''-vector]] fields instead of vector fields (in 3 or fewer dimensions, every ''k''-vector field can be identified with a scalar function or vector field, but this is not true in higher dimensions). This replaces the cross product, which is specific to 3 dimensions, taking in two vector fields and giving as output a vector field, with the [[exterior product]], which exists in all dimensions and takes in two vector fields, giving as output a bivector (2-vector) field. This product yields [[Clifford algebra]]s as the algebraic structure on vector spaces (with an orientation and nondegenerate form). Geometric algebra is mostly used in generalizations of physics and other applied fields to higher dimensions. | |
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| The second generalization uses [[differential form]]s (''k''-covector fields) instead of vector fields or ''k''-vector fields, and is widely used in mathematics, particularly in [[differential geometry]], [[geometric topology]], and [[harmonic analysis]], in particular yielding [[Hodge theory]] on oriented pseudo-Riemannian manifolds. From this point of view, grad, curl, and div correspond to the [[exterior derivative]] of 0-forms, 1-forms, and 2-forms, respectively, and the key theorems of vector calculus are all special cases of the general form of [[Stokes' theorem]].
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| From the point of view of both of these generalizations, vector calculus implicitly identifies mathematically distinct objects, which makes the presentation simpler but the underlying mathematical structure and generalizations less clear.
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| From the point of view of geometric algebra, vector calculus implicitly identifies ''k''-vector fields with vector fields or scalar functions: 0-vectors and 3-vectors with scalars, 1-vectors and 2-vectors with vectors. From the point of view of differential forms, vector calculus implicitly identifies ''k''-forms with scalar fields or vector fields: 0-forms and 3-forms with scalar fields, 1-forms and 2-forms with vector fields. Thus for example the curl naturally takes as input a vector field, but naturally has as output a 2-vector field or 2-form (hence pseudovector field), which is then interpreted as a vector field, rather than directly taking a vector field to a vector field; this is reflected in the curl of a vector field in higher dimensions not having as output a vector field.
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| ==See also==
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| * [[Real-valued function]]
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| * [[Function of a real variable]]
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| * [[Real multivariable function]]
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| * [[Vector calculus identities]]
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| * [[Del in cylindrical and spherical coordinates]]
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| * [[Directional derivative]]
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| * [[Irrotational vector field]]
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| * [[Solenoidal vector field]]
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| * [[Laplacian vector field]]
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| * [[Helmholtz decomposition]]
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| * [[Orthogonal coordinates]]
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| * [[Skew coordinates]]
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| * [[Curvilinear coordinates]]
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| * [[Tensor]]
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| | |
| ==Notes==
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| * There is also the '''perp dot product''',<ref>[http://mathworld.wolfram.com/PerpDotProduct.html], Wolfram mathworld</ref> which is essentially the dot product of two vectors, one vector rotated by ''π''/2 rads, equivalently the magnitude of the cross product:
| |
| :<math>\bold{v}_1 \bot \cdot\bold{v}_2 = \left | \bold{v}_1 \times \bold{v}_2 \right | = \left | \bold{v}_1 \right | \left | \bold{v}_2 \right | \sin\theta</math>,
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| | |
| :where ''θ'' is the included angle between ''v''<sub>1</sub> and ''v''<sub>2</sub>. It is rarely used, since the dot and cross product both incorporate it.
| |
| | |
| ==References==
| |
| {{reflist}}
| |
| | |
| * {{cite book | author = Michael J. Crowe | title = [[A History of Vector Analysis]] : The Evolution of the Idea of a Vectorial System | publisher=Dover Publications; Reprint edition | year= 1967 | isbn = 0-486-67910-1 }}
| |
| * {{cite book | author = H. M. Schey | title = Div Grad Curl and all that: An informal text on vector calculus | publisher=W. W. Norton & Company | year= 2005 | isbn = 0-393-92516-1}}
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| * {{cite book | author = J.E. Marsden | title = Vector Calculus | publisher=W. H. Freeman & Company | year= 1976 | isbn = 0-7167-0462-5}}
| |
| | |
| * Chen-To Tai (1995). ''[http://deepblue.lib.umich.edu/handle/2027.42/7868 A historical study of vector analysis]''. Technical Report RL 915, Radiation Laboratory, University of Michigan.
| |
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| ==External links==
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| * {{springer|title=Vector analysis|id=p/v096360}}
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| * {{springer|title=Vector algebra|id=p/v096350}}
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| *[http://academicearth.org/courses/vector-calculus Vector Calculus Video Lectures] from [[University of New South Wales]] on [[Academic Earth]]
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| *[http://hdl.handle.net/2027.42/7868 A survey of the improper use of ∇ in vector analysis] (1994) Tai, Chen
| |
| * [http://www.mc.maricopa.edu/~kevinlg/i256/Nonortho_math.pdf Expanding vector analysis to an oblique coordinate system]
| |
| * [http://books.google.com/books?id=R5IKAAAAYAAJ&printsec=frontcover Vector Analysis:] A Text-book for the Use of Students of Mathematics and Physics, (based upon the lectures of [[Willard Gibbs]]) by [[Edwin Bidwell Wilson]], published 1902.
| |
| *[http://www.economics.soton.ac.uk/staff/aldrich/vector%20analysis.htm Earliest Known Uses of Some of the Words of Mathematics: Vector Analysis]
| |
| | |
| [[Category:Vector calculus| ]]
| |
August 1, 2013 - You should know what fits into your budget when it comes to clothing so do the appropriate research to learn. You can get some thoughts from a many different resources, and with the knowledge you will get comfortable with your thing as a whole. Learn how fashion plays to your own life and just what it can mean for you.
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Avoid floral patterns with large shapes and flowers if you are a plus size. These larger patterns will not be flattering simply because they emphasize your size. Wearing clothing with smaller flower shapes will require the focus out of your size therefore making you appear thinner.
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Don't assume all colors match, so if you are unsure, consult a colour specialist to help you coordinate your wardrobe. The consultant can help you choose the colors which are right for you based on your individual skin tone, eye color and hair color. Choosing flattering colors will help you look your best at all times.
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Go ahead and suggest going shopping with a friend who's clothing outfits you are trying to improve. Sometimes, people need others' opinions to discover something that works for them.
If you're wearing a bonus size and wish to look smaller, steer clear of floral patterns with large shapes and flowers. The larger patterns will disclose the fact that you are large too, and will not be a stylish choice for you. Rather, select a floral pattern which includes small flowers to de-emphasize your size.
Underwear is much more of a crucial part of fashion than you know. Your underwear give you the foundation for all you wear. Wearing the best underwear for your will make everything look better you. Get yourself properly measured to your underwear.
Are you searching for fashion advice? It could be a hot date, a friend's wedding, or even a reunion. Looking great and feeling confident works well when you incorporate the easy tips and neat little tricks from the article you just read. As this article has shown, looking fantastic is simple. co-written by Clara U. Mccasland