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In mathematics, the epigraph or supergraph of a
function Function or functionality may refer to: Computing * Function key, a type of key on computer keyboards * Function model, a structured representation of processes in a system * Function object or functor or functionoid, a concept of object-oriente ...
f : X \to \infty, \infty/math> valued in the
extended real numbers In mathematics, the affinely extended real number system is obtained from the real number system \R by adding two infinity elements: +\infty and -\infty, where the infinities are treated as actual numbers. It is useful in describing the algebra on ...
\infty, \infty= \R \cup \ is the set, denoted by \operatorname f, of all points in the Cartesian product X \times \R lying on or above its
graph Graph may refer to: Mathematics *Graph (discrete mathematics), a structure made of vertices and edges **Graph theory, the study of such graphs and their properties *Graph (topology), a topological space resembling a graph in the sense of discre ...
. The strict epigraph \operatorname_S f is the set of points in X \times \R lying strictly above its graph. Importantly, although both the graph and epigraph of f consists of points in X \times \infty, \infty the epigraph consists of points in the subset X \times \R, which is not necessarily true of the graph of f. If the function takes \pm \infty as a value then \operatorname f will be a subset of its epigraph \operatorname f. For example, if f\left(x_0\right) = \infty then the point \left(x_0, f\left(x_0\right)\right) = \left(x_0, \infty\right) will belong to \operatorname f but not to \operatorname f. These two sets are nevertheless closely related because the graph can always be reconstructed from the epigraph, and vice versa. The study of continuous
real-valued function In mathematics, a real-valued function is a function whose values are real numbers. In other words, it is a function that assigns a real number to each member of its domain. Real-valued functions of a real variable (commonly called ''real f ...
s in
real analysis In mathematics, the branch of real analysis studies the behavior of real numbers, sequences and series of real numbers, and real functions. Some particular properties of real-valued sequences and functions that real analysis studies include conv ...
has traditionally been closely associated with the study of their graphs, which are sets that provide geometric information (and intuition) about these functions. Epigraphs serve this same purpose in the fields of
convex analysis Convex analysis is the branch of mathematics devoted to the study of properties of convex functions and convex sets, often with applications in convex minimization, a subdomain of optimization theory. Convex sets A subset C \subseteq X of som ...
and
variational analysis In mathematics, the term variational analysis usually denotes the combination and extension of methods from convex optimization and the classical calculus of variations to a more general theory. This includes the more general problems of optimizati ...
, in which the primary focus is on convex functions valued in \infty, \infty/math> instead of continuous functions valued in a vector space (such as \R or \R^2). This is because in general, for such functions, geometric intuition is more readily obtained from a function's epigraph than from its graph. Similarly to how graphs are used in real analysis, the epigraph can often be used to give geometrical interpretations of a convex function's properties, to help formulate or prove hypotheses, or to aid in constructing
counterexample A counterexample is any exception to a generalization. In logic a counterexample disproves the generalization, and does so rigorously in the fields of mathematics and philosophy. For example, the fact that "John Smith is not a lazy student" is a ...
s.


Definition

The definition of the epigraph was inspired by that of the graph of a function, where the of f : X \to Y is defined to be the set :\operatorname f := \left\. The or of a function f : X \to \infty, \infty/math> valued in the
extended real numbers In mathematics, the affinely extended real number system is obtained from the real number system \R by adding two infinity elements: +\infty and -\infty, where the infinities are treated as actual numbers. It is useful in describing the algebra on ...
\infty, \infty= \R \cup \ is the set : \begin \operatorname f &= \left\ \\ &= \left f^(- \infty) \times \R \right\cup \bigcup_ \ \times (x,_f(x))_and_all_points_in_X_\times_\R_"directly_above"_it._ Similarly,_the_set_of_points_on_or_below_the_graph_of_a_function_is_its_Hypograph_(mathematics).html" ;"title="(x), \infty) ~~~ \text \end In the union over x \in f^(\R) that appears above on the right hand side of the last line, the set \ \times [f(x), \infty) may be interpreted as being a "vertical ray" consisting of (x, f(x)) and all points in X \times \R "directly above" it. Similarly, the set of points on or below the graph of a function is its Hypograph (mathematics)">. The is the epigraph with the graph removed: : \begin \operatorname_S f &= \left\ \\ &= \operatorname f \setminus \operatorname f \\ &= \bigcup_ \ \times (f(x), \infty) ~~~ \text \end


Relationships with other sets

Despite the fact that f might take one (or both) of \pm \infty as a value (in which case its graph would be a subset of X \times \R), the epigraph of f is nevertheless defined to be a subset of X \times \R rather than of X \times [-\infty, \infty]. This is intentional because when X is a vector space then so is X \times \R but X \times \infty, \infty/math> is a vector space (since the extended real number line \infty, \infty/math> is not a vector space). More generally, if X is only a non-empty subset of some vector space then X \times \infty, \infty/math> is never even a of vector space. The epigraph being a subset of a vector space allows for tools related to
real analysis In mathematics, the branch of real analysis studies the behavior of real numbers, sequences and series of real numbers, and real functions. Some particular properties of real-valued sequences and functions that real analysis studies include conv ...
and
functional analysis Functional analysis is a branch of mathematical analysis, the core of which is formed by the study of vector spaces endowed with some kind of limit-related structure (e.g. inner product, norm, topology, etc.) and the linear functions defined o ...
(and other fields) to be more readily applied. The domain (rather than the
codomain In mathematics, the codomain or set of destination of a function is the set into which all of the output of the function is constrained to fall. It is the set in the notation . The term range is sometimes ambiguously used to refer to either th ...
) of the function is not particularly important for this definition; it can be any
linear space In mathematics and physics, a vector space (also called a linear space) is a set whose elements, often called ''vectors'', may be added together and multiplied ("scaled") by numbers called ''scalars''. Scalars are often real numbers, but can ...
or even an arbitrary set instead of \R^n. The strict epigraph \operatorname_S f and the graph \operatorname f are always disjoint. The epigraph of a function f : X \to \infty, \infty/math> is related to its graph and strict epigraph by :\,\operatorname f \,\subseteq\, \operatorname_S f \,\cup\, \operatorname f where set equality holds if and only if f is real-valued. However, :\operatorname f = \left \operatorname_S f \,\cup\, \operatorname f\right\,\cap\, \left X \times \R \right/math> always holds.


Reconstructing functions from epigraphs

The epigraph is
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if and only if the function is identically equal to infinity. Just as any function can be reconstructed from its graph, so too can any extended real-valued function f on X be reconstructed from its epigraph E := \operatorname f (even when f takes on \pm \infty as a value). Given x \in X, the value f(x) can be reconstructed from the intersection E \cap \left( \ \times \R \right) of E with the "vertical line" \ \times \R passing through x as follows:
  • case 1: E \cap \left( \ \times \R \right) = \varnothing if and only if f(x) = \infty,
  • case 2: E \cap \left( \ \times \R \right) = \ \times \R if and only if f(x) = -\infty,
  • case 3: otherwise, E \cap \left( \ \times \R \right) is necessarily of the form \ \times (x),_\infty),_from_which_the_value_of_f(x)_can_be_obtained_by_taking_the_infimum_of_the_interval.
The_above_observations_can_be_combined_to_give_a_single_formula_for_f(x)_in_terms_of_E_:=_\operatorname_f._ Specifically,_for_any_x_\in_X,_ :f(x)_=_\inf__\ where_by_definition,_\inf__\varnothing_:=_\infty._ This_same_formula_can_also_be_used_to_reconstruct_f_from_its_strict_epigraph_E_:=_\operatorname_S_f.


_Relationships_between_properties_of_functions_and_their_epigraphs

A_function_is_convex_function.html" "title="infimum.html" ;"title="(x), \infty), from which the value of f(x) can be obtained by taking the infimum">(x), \infty), from which the value of f(x) can be obtained by taking the infimum of the interval. The above observations can be combined to give a single formula for f(x) in terms of E := \operatorname f. Specifically, for any x \in X, :f(x) = \inf_ \ where by definition, \inf_ \varnothing := \infty. This same formula can also be used to reconstruct f from its strict epigraph E := \operatorname_S f.


Relationships between properties of functions and their epigraphs

A function is convex function">convex Convex or convexity may refer to: Science and technology * Convex lens, in optics Mathematics * Convex set, containing the whole line segment that joins points ** Convex polygon, a polygon which encloses a convex set of points ** Convex polytop ...
if and only if its epigraph is a convex set. The epigraph of a real affine function g : \R^n \to \R is a Half-space (geometry), halfspace in \R^. A function is Semi-continuity, lower semicontinuous if and only if its epigraph is closed.


See also

* * *


Citations


References

* * Rockafellar, Ralph Tyrell (1996), ''Convex Analysis'', Princeton University Press, Princeton, NJ. . {{Convex analysis and variational analysis Convex analysis Mathematical analysis Variational analysis