(mathematics) A real-valued function is of bounded variation on an interval if its total variation there is bounded.
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(mathematics) A real-valued function is of bounded variation on an interval if its total variation there is bounded.
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In mathematical analysis, a function of bounded variation, also known as a BV function, is a real-valued function whose total variation is bounded (finite): the graph of a function having this property is well behaved in a precise sense. For a continuous function of a single variable, being of bounded variation means that the distance along the direction of the y-axis, neglecting the contribution of motion along x-axis, traveled by a point moving along the graph has a finite value. For a continuous function of several variables, the meaning of the definition is the same, except for the fact that the continuous path to be considered cannot be the whole graph of the given function (which is an hypersurface in this case), but can be every intersection of the graph itself with a hyperplane (in the case of functions of two variables, a plane) parallel to a fixed x-axis and to the y-axis.
Functions of bounded variation are precisely those with respect to which one may find Riemann–Stieltjes integrals of all continuous functions.
Another characterization states that the functions of bounded variation on a closed interval are exactly those ƒ which can be written as a difference g − h, where both g and h are bounded monotone.
In the case of several variables, a function f defined on an open subset Ω of
is said to have bounded variation if its distributional derivative is a finite vector Radon measure.
One of the most important aspects of functions of bounded variation is that they form an algebra of discontinuous functions whose first derivative exists almost everywhere: due to this fact, they can and frequently are used to define generalized solutions of nonlinear problems involving functionals, ordinary and partial differential equations in mathematics, physics and engineering. Considering the problem of multiplication of distributions or more generally the problem of defining general nonlinear operations on generalized functions, function of bounded variation are the smallest algebra which has to be embedded in every space of generalized functions preserving the result of multiplication.
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According to Boris Golubov, BV functions of a single variable were first introduced by Camille Jordan, in the paper (Jordan 1881) dealing with the convergence of Fourier series. The first step in the generalization of this concept to functions of several variables was due to Leonida Tonelli, who introduced a class of continuous BV functions in 1926 (Cesari 1986, pp. 47-48), to extend his direct method for finding solutions to problems in the calculus of variations in more than one variable. Ten years after, in 1936, Lamberto Cesari changed the continuity requirement in Tonelli's definition to a less restrictive integrability requirement, obtaining for the first time the class of functions of bounded variation of several variables in its full generality: as Jordan did before him, he applied the concept to resolve of a problem concerning the convergence of Fourier series, but for functions of two variables. After him, several authors applied BV functions to study Fourier series in several variables, geometric measure theory, calculus of variations, and mathematical physics. Renato Caccioppoli and Ennio de Giorgi used them to define measure of non smooth boundaries of sets (see voice "Caccioppoli set" for further informations). Olga Arsenievna Oleinik introduced his view of generalized solutions for nonlinear partial differential equations as functions from the space BV in the paper (Oleinik 1957), and was able to construct a generalized solution of bounded variation of a first order partial differential equation in the paper (Oleinik 1959): few years later, Edward D. Conway and Joel A. Smoller applied BV-functions to the study of a single nonlinear hyperbolic partial differential equation of first order in the paper (Conway & Smoller 1966), proving that the solution of the Cauchy problem for such equations is a function of bounded variation, provided the initial value belongs to the same class. Aizik Isaakovich Vol'pert developed extensively a calculus for BV functions: in the paper (Vol'pert 1967) he proved the chain rule for BV functions and in the book (Hudjaev & Vol'pert 1986) he studied extensively the properties of BV functions and their application. His chain rule formula was later extended by Luigi Ambrosio and Gianni Dal Maso in the paper (Ambrosio & Dal Maso 1990).
Definition 1. The total variation of a real-valued function f, defined on an interval
is the quantity

where the supremum is taken over the set
of all partitions of the interval considered.
If f is differentiable and its derivative is integrable, its total variation is the vertical component of the arc-length of its graph, that is to say,

Definition 2. A real-valued function f on the real line is said to be of bounded variation (BV function) on a chosen interval [a,b] if its total variation is finite, i.e.
![f \in BV([a,b]) \iff V^a_b(f) < +\infty](http://wpcontent.answers.com/math/5/8/d/58de1cbf6105cf1cf9b3841b7c9de9f6.png)
It can be proved that a real function ƒ is of bounded variation in an interval if and only if it can be written as the difference ƒ = ƒ1 − ƒ2 of two non-decreasing functions. (This is known as the Jordan decomposition.)
Through the Stieltjes integral, any function of bounded variation on a closed interval [a, b] defines a bounded linear functional on C([a, b]). In this special case (Kolmogorov & Fomin 1969, pp. 374–376), the Riesz representation theorem states that every bounded linear functional arises uniquely in this way. The normalised positive functionals or probability measures correspond to positive non-decreasing lower semicontinuous functions. This point of view has been important in spectral theory (Riesz & Sz.-Nagy 1990), in particular in its application to ordinary differential equations.
Functions of bounded variation, BV functions, are functions whose distributional derivative is a finite Radon measure. More precisely:
Definition 1 Let Ω be an open subset of
. A locally integrable function u is said of bounded variation (BV function), and write

if there exists a finite vector Radon measure
such that the following equality holds

that is, u defines a linear functional on the space
of continuously differentiable vector functions
of compact support contained in Ω: the vector measure Du represents therefore the distributional or weak gradient of u.
An equivalent definition is the following.
Definition 2 Given a locally integrable function u, the total variation of u in is defined as

where
is the essential supremum norm. Sometimes, especially in the theory of Caccioppoli sets, the following notation is used

in order to emphasize that V(u,Ω) is the total variation of the distributional / weak gradient of u. This notation reminds also that if u is of class C1 (i.e. a continuous and differentiable function having continuous derivatives) then its variation is exactly the integral of the absolute value of its gradient.
The space of functions of bounded variation (BV functions) can then be defined as

The two definitions are equivalent since if
then

therefore
defines a continuous linear functional on the space
. Since
as a linear subspace, this continuous linear functional can be extended continuously and linearily to the whole
by the Hahn–Banach theorem i.e. it defines a Radon measure.
Only the properties common to functions of one variable and to functions of several variables will be considered in the following, and proofs will be carried on only for functions of several variables since the proof for the case of one variable is a straightforward adaptation of the several variables case. References (Giusti 1984, pp. 7-9), (Hudjaev & Vol'pert 1986) and (Màlek et al. 1996) are extensively used.
In the case of one variable, the assertion is clear: for each point x0 in the interval
of definition of the function u, either one of the following two assertions is true


while both limits exist and are finite. In the case of functions of several variables, there are some premises to understand: first of all, there is a continuum of directions along which it is possible to approach a given point x0 belonging to the domain
. It is necessary to make precise a suitable concept of limit: choosing a unit vector
it is possible to divide Ω in two sets

Then for each point x0 belonging to the domain
of the BV function u, only one of the following two assertions is true


or x0 belongs to a subset of Ω having zero n − 1-dimensional Hausdorff measure. The quantities

are called approximate limits of the BV function u at the point x0.
The functional
is lower semi-continuous: to see this, choose a Cauchy sequence of BV-functions
converging to
. Then, since all the functions of the sequence and their limit function are integrable and by the definition of lower limit

Now considering the supremum on the set of functions
such that
then the following inequality holds true

which is exactly the definition of lower semicontinuity.
By definition BV(Ω) is a subset of
, while linearity follows from the linearity properties of the defining integral i.e.
![\begin{align}
\int_\Omega [u(x)+v(x)]\,\mathrm{div}\boldsymbol{\phi}(x)\mathrm{d}x & =
\int_\Omega u(x)\,\mathrm{div}\boldsymbol{\phi}(x)\mathrm{d}x +\int_\Omega v(x)\,\mathrm{div}\boldsymbol{\phi}(x)\mathrm{d}x = \\
& =- \int_\Omega \langle\boldsymbol{\phi}(x), Du(x)\rangle- \int_\Omega \langle \boldsymbol{\phi}(x), Dv(x)\rangle
=- \int_\Omega \langle \boldsymbol{\phi}(x), [Du(x)+Dv(x)]\rangle
\end{align}](http://wpcontent.answers.com/math/0/0/4/004cb861ea24700e573795a9c8c7c288.png)
for all
therefore
for all
, and

for all
, therefore
for all
, and all
. The proved vector space properties imply that BV(Ω) is a vector subspace of L1(Ω). Consider now the function
defined as

where
is the usual L1(Ω) norm: it is easy to prove that this is a norm on BV(Ω). To see that BV(Ω) is complete respect to it, i.e. it is a Banach space, consider a Cauchy sequence
in BV(Ω). By definition it is also a Cauchy sequence in L1(Ω) and therefore has a limit u in L1(Ω): since un is bounded in BV(Ω) for each n, then
by lower semicontinuity of the variation
, therefore u is a BV function. Finally, again by lower semicontinuity, choosing an arbitrary small positive number 

Chain rules for nonsmooth functions are very important in mathematics and mathematical physics since there are several important physical models whose behavior is described by functions or functionals with a very limited degree of smoothness.The following version is proved in the paper (Vol'pert 1967, p. 248): all partial derivatives must be intended in a generalized sense. i.e. as generalized derivatives
Theorem. Let
be a function of class C1 (i.e. a continuous and differentiable function having continuous derivatives) and let
be a function in BV(Ω) with Ω being an open subset of
. Then
and

where
is the mean value of the function at the point
, defined as

A more general chain rule formula for Lipschitz continuous functions
has been found by Luigi Ambrosio and Gianni Dal Maso and published in the paper (Ambrosio & Dal Maso 1990). However, even this formula has very important direct consequences: choosing
where
is a BV function the preceding formula becomes the Leibnitz rule for BV functions

This implies that the product of two functions of bounded variation is again a function of bounded variation, therefore BV(Ω) is an algebra.
This property follows directly from the fact that BV(Ω) is a Banach space and also an associative algebra: this implies that if {vn} and {un} are Cauchy sequences of BV functions converging respectively to functions v and u in BV(Ω), then
![\begin{matrix}
vu_n\xrightarrow[n\to\infty]{} vu \\
v_nu\xrightarrow[n\to\infty]{} vu
\end{matrix}\quad\Longleftrightarrow
\quad vu\in BV(\Omega)](http://wpcontent.answers.com/math/8/3/f/83f61a1f0b728ebc7d10bd5cebc63e82.png)
therefore the ordinary product of functions is continuous in BV(Ω) respect to each argument, making this function space a Banach algebra.
It is possible to generalize the above notion of total variation so that different variations are weighted differently. More precisely, let
be any increasing function such that
(the weight function) and let
be a function from the interval
taking values in a normed vector space X. Then the
-variation of f over [0,T] is defined as
![\mathop{\varphi\mbox{-Var}}_{[0, T]} (f) := \sup \sum_{j = 0}^{k} \varphi \left( | f(t_{j + 1}) - f(t_{j}) |_{X} \right),](http://wpcontent.answers.com/math/4/e/2/4e2848cf6126a516881a10a13353f8a9.png)
where, as usual, the supremum is taken over all finite partitions of the interval [0,T], i.e. all the finite sets of real numbers ti such that

The original notion of variation considered above is the special case of
-variation for which the weight function is the identity function: therefore an integrable function f is said to be a weighted BV function (of weight
) if and only if its
-variation is finite.
![f\in BV_\varphi([0, T];X)\iff \mathop{\varphi\mbox{-Var}}_{[0, T]} (f) <+\infty](http://wpcontent.answers.com/math/4/c/c/4ccb566617671e3a7a0cb714a28bd4bd.png)
The space
is a topological vector space with respect to the norm
![\| f \|_{BV_\varphi} := \| f \|_{\infty} + \mathop{\varphi \mbox{-Var}}_{[0, T]} (f),](http://wpcontent.answers.com/math/0/9/3/093edab7f3d30c7316c08b390f07d504.png)
where
denotes the usual supremum norm of f. Weighted BV functions were introduced and studied in full generality by Wladislav Orlicz and Julian Musielak in the paper (Musielak & Orlicz 1959): Laurence Chisholm Young studied earlier the case
where p is a positive integer.
SBV functions i.e. Special functions of Bounded Variation where introduced by Luigi Ambrosio and Ennio de Giorgi in the paper (Ambrosio & De Giorgi 1988), dealing with free discontinuity variational problems: given an open subset Ω of
, the space SBV(Ω) is a proper subspace of BV(Ω), since the weak gradient of each function belonging to it const exactly of the sum of a n-dimensional support and a n − 1-dimensional support measure and no lower-dimensional terms, as seen in the following definition.
Definition. Given a locally integrable function u, then
if and only if
1. There exist two Borel functions f and g of domain Ω and codomain
such that

2. For all of continuously differentiable vector functions
of compact support contained in Ω, i.e. for all
the following formula is true:

where Hα is the α-dimensional Hausdorff measure.
Details on the properties of SBV functions can be found in works cited in the bibliography section: particularly the paper (De Giorgi 1992) contains a useful bibliography.
As particular examples of Banach spaces, Dunford & Schwartz (1958, Chapter IV) consider spaces of sequences of bounded variation, in addition to the spaces of functions of bounded variation. The total variation of a sequence x=(xi) of real or complex numbers is defined by

The space of all sequences of finite total variation is denoted by bv. The norm on bv is given by

With this norm, the space bv is a Banach space.
The total variation itself defines a norm on a certain subspace of bv, denoted by bv0, consisting of sequences x = (xi) for which

The norm on bv0 is denoted

With respect to this norm bv0 becomes a Banach space as well.
A signed (or complex) measure μ is said to be of bounded variation if it's total variation | μ | is bounded. Halmos (1950, p123)
The function

is not of bounded variation on the interval [0,2 / π]
While it is harder to see, the function

is not of bounded variation on the interval [0,2 / π] either.
At the same time, the function

is of bounded variation on the interval [0,2 / π]. However, all three functions are of bounded variation on each interval [a,b] with a > 0.
The Sobolev space W1,1(Ω) is a proper subset of BV(Ω). In fact, for each u in W1,1(Ω) it is possible to choose a measure
(where
is the Lebesgue measure on Ω) such that the equality

holds, since it is nothing more than the definition of weak derivative, and hence holds true. One can easily find an example of a BV function which is not W1,1: in dimension one, any step function with a non-trivial jump will do.
Functions of bounded variation have been studied in connection with the set of discontinuities of functions and differentiability of real functions, and the following results are well-known. If f is a real function of bounded variation on an interval [a,b] then
For real functions of several real variables
The ability of BV functions to deal with discontinuities has made their use widespread in the applied sciences: solutions of problems in mechanics, physics, chemical kinetics are very often representable by functions of bounded variation. The book (Hudjaev & Vol'pert 1986) details a very ample set of mathematical physics applications of BV functions. Also there is some modern application which deserves a brief description.
This article incorporates material from BV function on PlanetMath, which is licensed under the Creative Commons Attribution/Share-Alike License.
This entry is from Wikipedia, the leading user-contributed encyclopedia. It may not have been reviewed by professional editors (see full disclaimer)
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