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mathematical analysis Analysis is the branch of mathematics dealing with continuous functions, limit (mathematics), limits, and related theories, such as Derivative, differentiation, Integral, integration, measure (mathematics), measure, infinite sequences, series (m ...
and its applications, a function of several real variables or real multivariate function is a function with more than one argument, with all arguments being real variables. This concept extends the idea of a function of a real variable to several variables. The "input" variables take real values, while the "output", also called the "value of the function", may be real or complex. However, the study of the complex-valued functions may be easily reduced to the study of the real-valued functions, by considering the real and imaginary parts of the complex function; therefore, unless explicitly specified, only real-valued functions will be considered in this article. The domain of a function of variables is the
subset In mathematics, Set (mathematics), set ''A'' is a subset of a set ''B'' if all Element (mathematics), elements of ''A'' are also elements of ''B''; ''B'' is then a superset of ''A''. It is possible for ''A'' and ''B'' to be equal; if they are ...
of for which the function is defined. As usual, the domain of a function of several real variables is supposed to contain a nonempty open subset of .


General definition

A real-valued function of real variables is a function that takes as input
real number In mathematics, a real number is a number that can be used to measurement, measure a ''continuous'' one-dimensional quantity such as a distance, time, duration or temperature. Here, ''continuous'' means that values can have arbitrarily small var ...
s, commonly represented by the variables , for producing another real number, the ''value'' of the function, commonly denoted . For simplicity, in this article a real-valued function of several real variables will be simply called a function. To avoid any ambiguity, the other types of functions that may occur will be explicitly specified. Some functions are defined for all real values of the variables (one says that they are everywhere defined), but some other functions are defined only if the value of the variable are taken in a subset of , the domain of the function, which is always supposed to contain an open subset of . In other words, a real-valued function of real variables is a function :f: X \to \R such that its domain is a subset of that contains a nonempty open set. An element of being an - tuple (usually delimited by parentheses), the general notation for denoting functions would be . The common usage, much older than the general definition of functions between sets, is to not use double parentheses and to simply write . It is also common to abbreviate the -tuple by using a notation similar to that for vectors, like boldface , underline , or overarrow . This article will use bold. A simple example of a function in two variables could be: :\begin & V : X \to \R \\ & X = \left\ \\ & V(A,h) = \fracA h \end which is the
volume Volume is a measure of occupied three-dimensional space. It is often quantified numerically using SI derived units (such as the cubic metre and litre) or by various imperial or US customary units (such as the gallon, quart, cubic inch). Th ...
of a cone with base area and height measured perpendicularly from the base. The domain restricts all variables to be positive since
length Length is a measure of distance. In the International System of Quantities, length is a quantity with dimension distance. In most systems of measurement a base unit for length is chosen, from which all other units are derived. In the Interna ...
s and areas must be positive. For an example of a function in two variables: :\begin & z : \R^2 \to \R \\ & z(x,y) = ax + by \end where and are real non-zero constants. Using the three-dimensional Cartesian coordinate system, where the ''xy'' plane is the domain and the z axis is the codomain , one can visualize the image to be a two-dimensional plane, with a
slope In mathematics, the slope or gradient of a line is a number that describes both the ''direction'' and the ''steepness'' of the line. Slope is often denoted by the letter ''m''; there is no clear answer to the question why the letter ''m'' is used ...
of in the positive x direction and a slope of in the positive y direction. The function is well-defined at all points in . The previous example can be extended easily to higher dimensions: :\begin & z : \R^p \to \R \\ & z(x_1,x_2,\ldots, x_p) = a_1 x_1 + a_2 x_2 + \cdots + a_p x_p \end for non-zero real constants , which describes a -dimensional
hyperplane In geometry, a hyperplane is a subspace whose dimension is one less than that of its ''ambient space''. For example, if a space is 3-dimensional then its hyperplanes are the 2-dimensional planes, while if the space is 2-dimensional, its hyper ...
. The Euclidean norm: :f(\boldsymbol)=\, \boldsymbol\, = \sqrt is also a function of ''n'' variables which is everywhere defined, while :g(\boldsymbol)=\frac is defined only for . For a non-linear example function in two variables: :\begin & z : X \to \R \\ & X = \left\ \\ & z(x,y) = \frac\sqrt \end which takes in all points in , a disk of radius "punctured" at the origin in the plane , and returns a point in . The function does not include the origin , if it did then would be ill-defined at that point. Using a 3d Cartesian coordinate system with the ''xy''-plane as the domain , and the z axis the codomain , the image can be visualized as a curved surface. The function can be evaluated at the point in : :z\left(2,\sqrt\right) = \frac\sqrt = \frac\sqrt \,, However, the function couldn't be evaluated at, say :(x,y) = (65,\sqrt) \, \Rightarrow \, x^2 + y^2 = (65)^2 + (\sqrt)^2 > 8 since these values of and do not satisfy the domain's rule.


Image

The
image An image is a visual representation of something. It can be two-dimensional, three-dimensional, or somehow otherwise feed into the visual system to convey information. An image can be an artifact, such as a photograph or other two-dimensiona ...
of a function is the set of all values of when the -tuple runs in the whole domain of . For a continuous (see below for a definition) real-valued function which has a connected domain, the image is either an interval or a single value. In the latter case, the function is a constant function. The
preimage In mathematics, the image of a function is the set of all output values it may produce. More generally, evaluating a given function f at each element of a given subset A of its domain produces a set, called the "image of A under (or through) ...
of a given real number is called a level set. It is the set of the solutions of the equation .


Domain

The domain of a function of several real variables is a subset of that is sometimes, but not always, explicitly defined. In fact, if one restricts the domain of a function to a subset , one gets formally a different function, the ''restriction'' of to , which is denoted f, _Y. In practice, it is often (but not always) not harmful to identify and f, _Y, and to omit the restrictor . Conversely, it is sometimes possible to enlarge naturally the domain of a given function, for example by continuity or by analytic continuation. Moreover, many functions are defined in such a way that it is difficult to specify explicitly their domain. For example, given a function , it may be difficult to specify the domain of the function g(\boldsymbol) = 1/f(\boldsymbol). If is a multivariate polynomial, (which has \R^n as a domain), it is even difficult to test whether the domain of is also \R^n. This is equivalent to test whether a polynomial is always positive, and is the object of an active research area (see Positive polynomial).


Algebraic structure

The usual operations of arithmetic on the reals may be extended to real-valued functions of several real variables in the following way: * For every real number , the constant function (x_1,\ldots,x_n)\mapsto r is everywhere defined. * For every real number and every function , the function: rf:(x_1,\ldots,x_n)\mapsto rf(x_1,\ldots,x_n) has the same domain as (or is everywhere defined if ). * If and are two functions of respective domains and such that contains a nonempty open subset of , then f\,g:(x_1,\ldots,x_n)\mapsto f(x_1,\ldots,x_n)\,g(x_1,\ldots,x_n) and g\,f:(x_1,\ldots,x_n)\mapsto g(x_1,\ldots,x_n)\,f(x_1,\ldots,x_n) are functions that have a domain containing . It follows that the functions of variables that are everywhere defined and the functions of variables that are defined in some
neighbourhood A neighbourhood (British English, Irish English, Australian English and Canadian English) or neighborhood (American English; American and British English spelling differences, see spelling differences) is a geographically localised community ...
of a given point both form commutative algebras over the reals (-algebras). This is a prototypical example of a function space. One may similarly define :1/f : (x_1,\ldots,x_n) \mapsto 1/f(x_1,\ldots,x_n), which is a function only if the set of the points in the domain of such that contains an open subset of . This constraint implies that the above two algebras are not fields.


Univariable functions associated with a multivariable function

One can easily obtain a function in one real variable by giving a constant value to all but one of the variables. For example, if is a point of the
interior Interior may refer to: Arts and media * ''Interior'' (Degas) (also known as ''The Rape''), painting by Edgar Degas * ''Interior'' (play), 1895 play by Belgian playwright Maurice Maeterlinck * ''The Interior'' (novel), by Lisa See * Interior de ...
of the domain of the function , we can fix the values of to respectively, to get a univariable function :x \mapsto f(x, a_2, \ldots, a_n), whose domain contains an interval centered at . This function may also be viewed as the restriction of the function to the line defined by the equations for . Other univariable functions may be defined by restricting to any line passing through . These are the functions :x \mapsto f(a_1+c_1 x, a_2+c_2 x, \ldots, a_n+c_n x), where the are real numbers that are not all zero. In next section, we will show that, if the multivariable function is continuous, so are all these univariable functions, but the converse is not necessarily true.


Continuity and limit

Until the second part of 19th century, only continuous functions were considered by mathematicians. At that time, the notion of continuity was elaborated for the functions of one or several real variables a rather long time before the formal definition of a topological space and a continuous map between topological spaces. As continuous functions of several real variables are ubiquitous in mathematics, it is worth to define this notion without reference to the general notion of continuous maps between topological space. For defining the continuity, it is useful to consider the distance function of , which is an everywhere defined function of real variables: :d(\boldsymbol,\boldsymbol)=d(x_1, \ldots, x_n, y_1, \ldots, y_n)=\sqrt A function is continuous at a point which is
interior Interior may refer to: Arts and media * ''Interior'' (Degas) (also known as ''The Rape''), painting by Edgar Degas * ''Interior'' (play), 1895 play by Belgian playwright Maurice Maeterlinck * ''The Interior'' (novel), by Lisa See * Interior de ...
to its domain, if, for every positive real number , there is a positive real number such that for all such that . In other words, may be chosen small enough for having the image by of the ball of radius centered at contained in the interval of length centered at . A function is continuous if it is continuous at every point of its domain. If a function is continuous at , then all the univariate functions that are obtained by fixing all the variables except one at the value , are continuous at . The converse is false; this means that all these univariate functions may be continuous for a function that is not continuous at . For an example, consider the function such that , and is otherwise defined by :f(x,y) = \frac. The functions and are both constant and equal to zero, and are therefore continuous. The function is not continuous at , because, if and , we have , even if is very small. Although not continuous, this function has the further property that all the univariate functions obtained by restricting it to a line passing through are also continuous. In fact, we have : f(x, \lambda x) =\frac for . The
limit Limit or Limits may refer to: Arts and media * ''Limit'' (manga), a manga by Keiko Suenobu * ''Limit'' (film), a South Korean film * Limit (music), a way to characterize harmony * "Limit" (song), a 2016 single by Luna Sea * "Limits", a 2019 ...
at a point of a real-valued function of several real variables is defined as follows. Let be a point in topological closure of the domain of the function . The function, has a limit when tends toward , denoted :L = \lim_ f(\boldsymbol), if the following condition is satisfied: For every positive real number , there is a positive real number such that :, f(\boldsymbol) - L, < \varepsilon for all in the domain such that :d(\boldsymbol, \boldsymbol)< \delta. If the limit exists, it is unique. If is in the interior of the domain, the limit exists if and only if the function is continuous at . In this case, we have :f(\boldsymbol) = \lim_ f(\boldsymbol). When is in the boundary of the domain of , and if has a limit at , the latter formula allows to "extend by continuity" the domain of to .


Symmetry

A symmetric function is a function that is unchanged when two variables and are interchanged: :f(\ldots, x_i,\ldots,x_j,\ldots) = f(\ldots, x_j,\ldots,x_i,\ldots) where and are each one of . For example: :f(x,y,z,t) = t^2 - x^2 - y^2 - z^2 is symmetric in since interchanging any pair of leaves unchanged, but is not symmetric in all of , since interchanging with or or gives a different function.


Function composition

Suppose the functions :\xi_1 = \xi_1(x_1,x_2,\ldots,x_n), \quad \xi_2 = \xi_2(x_1,x_2,\ldots,x_n), \ldots \xi_m = \xi_m(x_1,x_2,\ldots,x_n), or more compactly , are all defined on a domain . As the -tuple varies in , a subset of , the -tuple varies in another region a subset of . To restate this: :\boldsymbol : X \to \Xi . Then, a function of the functions defined on , :\begin & \zeta : \Xi \to \R, \\ & \zeta = \zeta(\xi_1,\xi_2,\ldots,\xi_m), \end is a function composition defined on , in other terms the mapping :\begin & \zeta : X \to \R , \\ & \zeta = \zeta(\xi_1,\xi_2,\ldots,\xi_m) = f(x_1,x_2,\ldots,x_n). \end Note the numbers and do not need to be equal. For example, the function :f(x,y) = e^ sin 3(x-y) - \cos 2(x+y)/math> defined everywhere on can be rewritten by introducing :(\alpha, \beta, \gamma ) = (\alpha(x,y), \beta(x,y) , \gamma(x,y) ) = ( xy , x-y, x+y ) which is also everywhere defined in to obtain :f(x,y) = \zeta(\alpha(x,y),\beta(x,y),\gamma(x,y)) = \zeta(\alpha,\beta,\gamma) = e^\alpha sin (3\beta) - \cos (2\gamma)\,. Function composition can be used to simplify functions, which is useful for carrying out multiple integrals and solving
partial differential equation In mathematics, a partial differential equation (PDE) is an equation which imposes relations between the various partial derivatives of a Multivariable calculus, multivariable function. The function is often thought of as an "unknown" to be sol ...
s.


Calculus

Elementary calculus is the calculus of real-valued functions of one real variable, and the principal ideas of differentiation and
integration Integration may refer to: Biology * Multisensory integration * Path integration * Pre-integration complex, viral genetic material used to insert a viral genome into a host genome *DNA integration, by means of site-specific recombinase technolo ...
of such functions can be extended to functions of more than one real variable; this extension is multivariable calculus.


Partial derivatives

Partial derivative In mathematics, a partial derivative of a function of several variables is its derivative with respect to one of those variables, with the others held constant (as opposed to the total derivative, in which all variables are allowed to vary). Part ...
s can be defined with respect to each variable: :\frac f(x_1, x_2, \ldots, x_n)\,,\quad \frac f(x_1, x_2, \ldots x_n)\,,\ldots, \frac f(x_1, x_2, \ldots, x_n). Partial derivatives themselves are functions, each of which represents the rate of change of parallel to one of the axes at all points in the domain (if the derivatives exist and are continuous—see also below). A first derivative is positive if the function increases along the direction of the relevant axis, negative if it decreases, and zero if there is no increase or decrease. Evaluating a partial derivative at a particular point in the domain gives the rate of change of the function at that point in the direction parallel to a particular axis, a real number. For real-valued functions of a real variable, , its ordinary derivative is geometrically the gradient of the tangent line to the curve at all points in the domain. Partial derivatives extend this idea to tangent hyperplanes to a curve. The second order partial derivatives can be calculated for every pair of variables: :\frac f(x_1, x_2, \ldots, x_n)\,,\quad \frac f(x_1, x_2, \ldots x_n)\,,\ldots, \frac f(x_1, x_2, \ldots, x_n) . Geometrically, they are related to the local curvature of the function's image at all points in the domain. At any point where the function is well-defined, the function could be increasing along some axes, and/or decreasing along other axes, and/or not increasing or decreasing at all along other axes. This leads to a variety of possible stationary points: global or local maxima, global or local
minima In mathematical analysis, the maxima and minima (the respective plurals of maximum and minimum) of a function, known collectively as extrema (the plural of extremum), are the largest and smallest value of the function, either within a given ran ...
, and
saddle point In mathematics, a saddle point or minimax point is a point on the surface of the graph of a function where the slopes (derivatives) in orthogonal directions are all zero (a critical point), but which is not a local extremum of the function ...
s—the multidimensional analogue of inflection points for real functions of one real variable. The Hessian matrix is a matrix of all the second order partial derivatives, which are used to investigate the stationary points of the function, important for
mathematical optimization Mathematical optimization (alternatively spelled ''optimisation'') or mathematical programming is the selection of a best element, with regard to some criterion, from some set of available alternatives. It is generally divided into two subfi ...
. In general, partial derivatives of higher order have the form: :\frac f(x_1, x_2, \ldots, x_n) \equiv \frac \frac \cdots \frac f(x_1, x_2, \ldots, x_n) where are each integers between and such that , using the definitions of zeroth partial derivatives as identity operators: :\fracf(x_1, x_2, \ldots, x_n) = f(x_1, x_2, \ldots, x_n)\,,\quad \ldots,\, \fracf(x_1, x_2, \ldots, x_n)=f(x_1, x_2, \ldots, x_n)\,. The number of possible partial derivatives increases with , although some mixed partial derivatives (those with respect to more than one variable) are superfluous, because of the symmetry of second order partial derivatives. This reduces the number of partial derivatives to calculate for some .


Multivariable differentiability

A function is differentiable in a neighborhood of a point if there is an -tuple of numbers dependent on in general, , so that: :f(\boldsymbol) = f(\boldsymbol) + \boldsymbol(\boldsymbol)\cdot(\boldsymbol-\boldsymbol) + \alpha(\boldsymbol x), \boldsymbol-\boldsymbol, where as . This means that if is differentiable at a point , then is continuous at , although the converse is not true - continuity in the domain does not imply differentiability in the domain. If is differentiable at then the first order partial derivatives exist at and: :\left.\frac\_ = A_i (\boldsymbol) for , which can be found from the definitions of the individual partial derivatives, so the partial derivatives of exist. Assuming an -dimensional analogue of a rectangular Cartesian coordinate system, these partial derivatives can be used to form a vectorial linear differential operator, called the gradient (also known as " nabla" or " del") in this coordinate system: :\nabla f(\boldsymbol) = \left(\frac, \frac, \ldots, \frac \right) f(\boldsymbol) used extensively in vector calculus, because it is useful for constructing other differential operators and compactly formulating theorems in vector calculus. Then substituting the gradient (evaluated at with a slight rearrangement gives: :f(\boldsymbol) - f(\boldsymbol)= \nabla f(\boldsymbol)\cdot(\boldsymbol-\boldsymbol) + \alpha , \boldsymbol-\boldsymbol, where denotes the dot product. This equation represents the best linear approximation of the function at all points within a neighborhood of . For infinitesimal changes in and as : :df = \left.\frac\_dx_1 + \left.\frac\_dx_2 + \dots + \left.\frac\_dx_n = \nabla f(\boldsymbol) \cdot d\boldsymbol which is defined as the total differential, or simply differential, of , at . This expression corresponds to the total infinitesimal change of , by adding all the infinitesimal changes of in all the directions. Also, can be construed as a covector with basis vectors as the infinitesimals in each direction and partial derivatives of as the components. Geometrically is perpendicular to the level sets of , given by which for some constant describes an -dimensional hypersurface. The differential of a constant is zero: :df = (\nabla f) \cdot d \boldsymbol = 0 in which is an infinitesimal change in in the hypersurface , and since the dot product of and is zero, this means is perpendicular to . In arbitrary curvilinear coordinate systems in dimensions, the explicit expression for the gradient would not be so simple - there would be scale factors in terms of the
metric tensor In the mathematical field of differential geometry, a metric tensor (or simply metric) is an additional structure on a manifold (such as a surface) that allows defining distances and angles, just as the inner product on a Euclidean space allows ...
for that coordinate system. For the above case used throughout this article, the metric is just the Kronecker delta and the scale factors are all 1.


Differentiability classes

If all first order partial derivatives evaluated at a point in the domain: :\left.\frac f(\boldsymbol)\_\,,\quad \left.\frac f(\boldsymbol)\_\,,\ldots, \left.\frac f(\boldsymbol)\_ exist and are continuous for all in the domain, has differentiability class . In general, if all order partial derivatives evaluated at a point : :\left.\frac f(\boldsymbol)\_ exist and are continuous, where , and are as above, for all in the domain, then is differentiable to order throughout the domain and has differentiability class . If is of differentiability class , has continuous partial derivatives of all order and is called '' smooth''. If is an '' analytic function'' and equals its Taylor series about any point in the domain, the notation denotes this differentiability class.


Multiple integration

Definite integration can be extended to multiple integration over the several real variables with the notation; :\int_ \cdots \int_ \int_ f(x_1, x_2, \ldots, x_n) \, dx_1 dx_2\cdots dx_n \equiv \int_R f(\boldsymbol) \, d^n\boldsymbol where each region is a subset of or all of the real line: :R_1 \subseteq \mathbb \,, \quad R_2 \subseteq \mathbb \,, \ldots , R_n \subseteq \mathbb, and their Cartesian product gives the region to integrate over as a single set: :R = R_1 \times R_2 \times \dots \times R_n \,,\quad R \subseteq \mathbb^n \,, an -dimensional hypervolume. When evaluated, a definite integral is a real number if the integral converges in the region of integration (the result of a definite integral may diverge to infinity for a given region, in such cases the integral remains ill-defined). The variables are treated as "dummy" or "bound" variables which are substituted for numbers in the process of integration. The integral of a real-valued function of a real variable with respect to has geometric interpretation as the area bounded by the curve and the -axis. Multiple integrals extend the dimensionality of this concept: assuming an -dimensional analogue of a rectangular Cartesian coordinate system, the above definite integral has the geometric interpretation as the -dimensional hypervolume bounded by and the axes, which may be positive, negative, or zero, depending on the function being integrated (if the integral is convergent). While bounded hypervolume is a useful insight, the more important idea of definite integrals is that they represent total quantities within space. This has significance in applied mathematics and physics: if is some scalar density field and are the
position vector In geometry, a position or position vector, also known as location vector or radius vector, is a Euclidean vector that represents the position of a point ''P'' in space in relation to an arbitrary reference origin ''O''. Usually denoted x, r, or s ...
coordinates, i.e. some
scalar quantity Scalar may refer to: *Scalar (mathematics), an element of a field, which is used to define a vector space, usually the field of real numbers *Scalar (physics), a physical quantity that can be described by a single element of a number field such a ...
per unit ''n''-dimensional hypervolume, then integrating over the region gives the total amount of quantity in . The more formal notions of hypervolume is the subject of
measure theory In mathematics, the concept of a measure is a generalization and formalization of geometrical measures (length, area, volume) and other common notions, such as mass and probability of events. These seemingly distinct concepts have many sim ...
. Above we used the
Lebesgue measure In measure theory, a branch of mathematics, the Lebesgue measure, named after French mathematician Henri Lebesgue, is the standard way of assigning a measure to subsets of ''n''-dimensional Euclidean space. For ''n'' = 1, 2, or 3, it coincides wit ...
, see Lebesgue integration for more on this topic.


Theorems

With the definitions of multiple integration and partial derivatives, key theorems can be formulated, including the
fundamental theorem of calculus The fundamental theorem of calculus is a theorem that links the concept of differentiating a function (calculating its slopes, or rate of change at each time) with the concept of integrating a function (calculating the area under its graph, ...
in several real variables (namely
Stokes' theorem Stokes's theorem, also known as the Kelvin–Stokes theorem Nagayoshi Iwahori, et al.:"Bi-Bun-Seki-Bun-Gaku" Sho-Ka-Bou(jp) 1983/12Written in Japanese)Atsuo Fujimoto;"Vector-Kai-Seki Gendai su-gaku rekucha zu. C(1)" :ja:培風館, Bai-Fu-Kan( ...
), integration by parts in several real variables, the symmetry of higher partial derivatives and Taylor's theorem for multivariable functions. Evaluating a mixture of integrals and partial derivatives can be done by using theorem differentiation under the integral sign.


Vector calculus

One can collect a number of functions each of several real variables, say :y_1 = f_1(x_1, x_2, \ldots, x_n)\,,\quad y_2 = f_2(x_1, x_2, \ldots, x_n)\,,\ldots, y_m = f_m(x_1, x_2, \cdots x_n) into an -tuple, or sometimes as a
column vector In linear algebra, a column vector with m elements is an m \times 1 matrix consisting of a single column of m entries, for example, \boldsymbol = \begin x_1 \\ x_2 \\ \vdots \\ x_m \end. Similarly, a row vector is a 1 \times n matrix for some n, ...
or row vector, respectively: :(y_1, y_2, \ldots, y_m) \leftrightarrow \begin f_1(x_1, x_2, \ldots, x_n) \\ f_2(x_1, x_2, \cdots x_n) \\ \vdots \\ f_m(x_1, x_2, \ldots, x_n) \end \leftrightarrow \begin f_1(x_1, x_2, \ldots, x_n) & f_2(x_1, x_2, \ldots, x_n) & \cdots & f_m(x_1, x_2, \ldots, x_n) \end all treated on the same footing as an -component vector field, and use whichever form is convenient. All the above notations have a common compact notation . The calculus of such vector fields is vector calculus. For more on the treatment of row vectors and column vectors of multivariable functions, see matrix calculus.


Implicit functions

A real-valued implicit function of several real variables is not written in the form "". Instead, the mapping is from the space to the zero element in (just the ordinary zero 0): :\begin & \phi: \R^ \to \ \\ & \phi(x_1, x_2, \ldots, x_n, y) = 0 \end is an equation in all the variables. Implicit functions are a more general way to represent functions, since if: :y=f(x_1, x_2, \ldots, x_n) then we can always define: : \phi(x_1, x_2, \ldots, x_n, y) = y - f(x_1, x_2, \ldots, x_n) = 0 but the converse is not always possible, i.e. not all implicit functions have an explicit form. For example, using interval notation, let :\begin & \phi : X \to \ \\ & \phi(x,y,z) = \left(\frac\right)^2 + \left(\frac\right)^2 + \left(\frac\right)^2 - 1 = 0 \\ & X = a,a\times b,b\times c,c= \left\ . \end Choosing a 3-dimensional (3D) Cartesian coordinate system, this function describes the surface of a 3D ellipsoid centered at the origin with constant
semi-major axes In geometry, the major axis of an ellipse is its longest diameter: a line segment that runs through the center and both foci, with ends at the two most widely separated points of the perimeter. The semi-major axis (major semiaxis) is the longes ...
, along the positive ''x'', ''y'' and ''z'' axes respectively. In the case , we have a sphere of radius centered at the origin. Other conic section examples which can be described similarly include the
hyperboloid In geometry, a hyperboloid of revolution, sometimes called a circular hyperboloid, is the surface generated by rotating a hyperbola around one of its principal axes. A hyperboloid is the surface obtained from a hyperboloid of revolution by defo ...
and paraboloid, more generally so can any 2D surface in 3D Euclidean space. The above example can be solved for , or ; however it is much tidier to write it in an implicit form. For a more sophisticated example: :\begin & \phi : \R^4 \to \ \\ & \phi(t,x,y,z) = C tz e^ + A \sin(3\omega t) \left(x^2z - B y^6\right) = 0 \end for non-zero real constants , this function is well-defined for all , but it cannot be solved explicitly for these variables and written as "", "", etc. The implicit function theorem of more than two real variables deals with the continuity and differentiability of the function, as follows. Let be a continuous function with continuous first order partial derivatives, and let ''ϕ'' evaluated at a point be zero: :\phi(\boldsymbol, b) = 0; and let the first partial derivative of with respect to evaluated at be non-zero: :\left.\frac\_ \neq 0 . Then, there is an interval containing , and a region containing , such that for every in there is exactly one value of in satisfying , and is a continuous function of so that . The total differentials of the functions are: :dy=\fracdx_1 + \fracdx_2 + \dots + \fracdx_n ; :d\phi=\fracdx_1 + \fracdx_2 + \dots + \fracdx_n + \fracdy . Substituting into the latter differential and equating coefficients of the differentials gives the first order partial derivatives of with respect to in terms of the derivatives of the original function, each as a solution of the linear equation :\frac + \frac\frac = 0 for .


Complex-valued function of several real variables

A complex-valued function of several real variables may be defined by relaxing, in the definition of the real-valued functions, the restriction of the codomain to the real numbers, and allowing complex values. If is such a complex valued function, it may be decomposed as :f(x_1,\ldots, x_n)=g(x_1,\ldots, x_n)+ih(x_1,\ldots, x_n), where and are real-valued functions. In other words, the study of the complex valued functions reduces easily to the study of the pairs of real valued functions. This reduction works for the general properties. However, for an explicitly given function, such as: : z(x, y, \alpha, a, q) = \frac \left ln\left(x+iy- ae^\right) - \ln\left(x+iy + ae^\right)\right/math> the computation of the real and the imaginary part may be difficult.


Applications

Multivariable functions of real variables arise inevitably in
engineering Engineering is the use of scientific method, scientific principles to design and build machines, structures, and other items, including bridges, tunnels, roads, vehicles, and buildings. The discipline of engineering encompasses a broad rang ...
and physics, because observable physical quantities are real numbers (with associated units and dimensions), and any one physical quantity will generally depend on a number of other quantities.


Examples of real-valued functions of several real variables

Examples in continuum mechanics include the local mass density of a mass distribution, a
scalar field In mathematics and physics, a scalar field is a function (mathematics), function associating a single number to every point (geometry), point in a space (mathematics), space – possibly physical space. The scalar may either be a pure Scalar ( ...
which depends on the spatial position coordinates (here Cartesian to exemplify), , and time : :\rho = \rho(\mathbf,t) = \rho(x,y,z,t) Similarly for electric
charge density In electromagnetism, charge density is the amount of electric charge per unit length, surface area, or volume. Volume charge density (symbolized by the Greek letter ρ) is the quantity of charge per unit volume, measured in the SI system in ...
for electrically charged objects, and numerous other scalar potential fields. Another example is the velocity field, a vector field, which has components of velocity that are each multivariable functions of spatial coordinates and time similarly: :\mathbf (\mathbf,t) = \mathbf(x,y,z,t) = _x(x,y,z,t), v_y(x,y,z,t), v_z(x,y,z,t)/math> Similarly for other physical vector fields such as electric fields and
magnetic field A magnetic field is a vector field that describes the magnetic influence on moving electric charges, electric currents, and magnetic materials. A moving charge in a magnetic field experiences a force perpendicular to its own velocity and to ...
s, and vector potential fields. Another important example is the equation of state in
thermodynamics Thermodynamics is a branch of physics that deals with heat, work, and temperature, and their relation to energy, entropy, and the physical properties of matter and radiation. The behavior of these quantities is governed by the four laws o ...
, an equation relating
pressure Pressure (symbol: ''p'' or ''P'') is the force applied perpendicular to the surface of an object per unit area over which that force is distributed. Gauge pressure (also spelled ''gage'' pressure)The preferred spelling varies by country a ...
,
temperature Temperature is a physical quantity that expresses quantitatively the perceptions of hotness and coldness. Temperature is measured with a thermometer. Thermometers are calibrated in various temperature scales that historically have relied on ...
, and
volume Volume is a measure of occupied three-dimensional space. It is often quantified numerically using SI derived units (such as the cubic metre and litre) or by various imperial or US customary units (such as the gallon, quart, cubic inch). Th ...
of a fluid, in general it has an implicit form: :f(P, V, T) = 0 The simplest example is the ideal gas law: :f(P, V, T) = PV - nRT = 0 where is the number of moles, constant for a fixed amount of substance, and the gas constant. Much more complicated equations of state have been empirically derived, but they all have the above implicit form. Real-valued functions of several real variables appear pervasively in
economics Economics () is the social science that studies the production, distribution, and consumption of goods and services. Economics focuses on the behaviour and interactions of economic agents and how economies work. Microeconomics analy ...
. In the underpinnings of consumer theory, utility is expressed as a function of the amounts of various goods consumed, each amount being an argument of the utility function. The result of maximizing utility is a set of demand functions, each expressing the amount demanded of a particular good as a function of the prices of the various goods and of income or wealth. In producer theory, a firm is usually assumed to maximize profit as a function of the quantities of various goods produced and of the quantities of various factors of production employed. The result of the optimization is a set of demand functions for the various factors of production and a set of
supply function In economics, supply is the amount of a resource that firms, producers, labourers, providers of financial assets, or other economic agents are willing and able to provide to the marketplace or to an individual. Supply can be in produced goods, la ...
s for the various products; each of these functions has as its arguments the prices of the goods and of the factors of production.


Examples of complex-valued functions of several real variables

Some "physical quantities" may be actually complex valued - such as complex impedance,
complex permittivity In electromagnetism, the absolute permittivity, often simply called permittivity and denoted by the Greek letter ''ε'' (Epsilon, epsilon), is a measure of the electric polarizability of a dielectric. A material with high permittivity polarizes ...
, complex permeability, and complex refractive index. These are also functions of real variables, such as frequency or time, as well as temperature. In two-dimensional fluid mechanics, specifically in the theory of the potential flows used to describe fluid motion in 2d, the complex potential :F(x,y,\ldots) = \varphi(x,y,\ldots) + i\psi(x,y,\ldots) is a complex valued function of the two spatial coordinates and , and other ''real'' variables associated with the system. The real part is the velocity potential and the imaginary part is the stream function. The spherical harmonics occur in physics and engineering as the solution to
Laplace's equation In mathematics and physics, Laplace's equation is a second-order partial differential equation named after Pierre-Simon Laplace, who first studied its properties. This is often written as \nabla^2\! f = 0 or \Delta f = 0, where \Delta = \nab ...
, as well as the eigenfunctions of the ''z''-component angular momentum operator, which are complex-valued functions of real-valued spherical polar angles: :Y^m_\ell = Y^m_\ell(\theta,\phi) In
quantum mechanics Quantum mechanics is a fundamental theory in physics that provides a description of the physical properties of nature at the scale of atoms and subatomic particles. It is the foundation of all quantum physics including quantum chemistry, q ...
, the wavefunction is necessarily complex-valued, but is a function of ''real'' spatial coordinates (or
momentum In Newtonian mechanics, momentum (more specifically linear momentum or translational momentum) is the product of the mass and velocity of an object. It is a vector quantity, possessing a magnitude and a direction. If is an object's mass an ...
components), as well as time : :\Psi = \Psi(\mathbf,t) = \Psi(x,y,z,t)\,,\quad \Phi = \Phi(\mathbf,t) = \Phi(p_x,p_y,p_z,t) where each is related by a Fourier transform.


See also

*
Real coordinate space In mathematics, the real coordinate space of dimension , denoted ( ) or is the set of the -tuples of real numbers, that is the set of all sequences of real numbers. With component-wise addition and scalar multiplication, it is a real vector ...
* Real analysis * Complex analysis * Function of several complex variables *
Scalar field In mathematics and physics, a scalar field is a function (mathematics), function associating a single number to every point (geometry), point in a space (mathematics), space – possibly physical space. The scalar may either be a pure Scalar ( ...
s


References

* * * * * * * * {{Authority control Mathematical analysis Real numbers Multivariable calculus