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{{Short description|Mathematical concept in measure theory}} {{Short description|Mathematical concept in measure theory}}
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In ], particularly in ] and ], an '''approximately continuous function''' is a concept that generalizes the notion of ]s by replacing the ] with an ].<ref>{{cite web|url=https://encyclopediaofmath.org/Approximate_continuity|title=Approximate continuity|website=Encyclopedia of Mathematics|access-date=January 7, 2025}}</ref> This generalization provides insights into ]s with applications in real analysis and geometric measure theory.<ref>{{cite book |last1=Evans |first1=L.C. |last2=Gariepy |first2=R.F. |title=Measure theory and fine properties of functions |publisher=CRC Press |series=Studies in Advanced Mathematics |location=Boca Raton, FL |year=1992 |isbn= |pages=}}</ref> In ], particularly in ] and ], an '''approximately continuous function''' is a concept that generalizes the notion of ]s by replacing the ] with an ].<ref>{{cite web|url=https://encyclopediaofmath.org/Approximate_continuity|title=Approximate continuity|website=Encyclopedia of Mathematics|access-date=January 7, 2025}}</ref> This generalization provides insights into ]s with applications in real analysis and geometric measure theory.<ref>{{cite book |last1=Evans |first1=L.C. |last2=Gariepy |first2=R.F. |title=Measure theory and fine properties of functions |publisher=CRC Press |series=Studies in Advanced Mathematics |location=Boca Raton, FL |year=1992 |isbn= |pages=}}</ref>


== Definition == == Definition ==
Let <math>E \subseteq \mathbb{R}^n</math> be a ], <math>f\colon E \to \mathbb{R}^k</math> be a ], and <math>x_0 \in E</math> be a point where the ] of <math>E</math> is 1. The function <math>f</math> is said to be '''approximately continuous''' at <math>x_0</math> if and only if the ] of <math>f</math> at <math>x_0</math> exists and equals <math>f(x_0)</math>.<ref>{{cite book |last=Federer |first=H. |title=Geometric measure theory |publisher=Springer-Verlag |series=Die Grundlehren der mathematischen Wissenschaften |volume=153 |location=New York |year=1969 |isbn= |pages=}}</ref> Let <math>E \subseteq \mathbb{R}^n</math> be a ], <math>f\colon E \to \mathbb{R}^k</math> be a ], and <math>x_0 \in E</math> be a point where the ] of <math>E</math> is 1. The function <math>f</math> is said to be ''approximately continuous'' at <math>x_0</math> if and only if the ] of <math>f</math> at <math>x_0</math> exists and equals <math>f(x_0)</math>.<ref>{{cite book |last=Federer |first=H. |title=Geometric measure theory |publisher=] |series=Die Grundlehren der mathematischen Wissenschaften |volume=153 |location=New York |year=1969 |isbn= |pages=}}</ref>


== Properties == == Properties ==
A fundamental result in the theory of approximately continuous functions is derived from ], which states that every measurable function is approximately continuous at almost every point of its domain.<ref>{{cite book |last=Saks |first=S. |title=Theory of the integral |publisher=Hafner |year=1952 |isbn= |pages=}}</ref> The concept of approximate continuity can be extended beyond measurable functions to arbitrary functions between metric spaces. The '''Stepanov-Denjoy theorem''' provides a remarkable characterization: A fundamental result in the theory of approximately continuous functions is derived from ], which states that every measurable function is approximately continuous at almost every point of its domain.<ref>{{cite book |last=Saks |first=S. |title=Theory of the integral |publisher=Hafner |year=1952 |isbn= |pages=}}</ref> The concept of approximate continuity can be extended beyond measurable functions to arbitrary functions between metric spaces. The '''Stepanov-Denjoy theorem''' provides a remarkable characterization:
<blockquote>
<blockquote>'''Stepanov-Denjoy theorem:''' A function is measurable ] it is approximately continuous ].<ref>{{cite book |last=Bruckner |first=A.M. |title=Differentiation of real functions |publisher=Springer |year=1978 |isbn= |pages=}}</ref></blockquote> '''Stepanov-Denjoy theorem:''' A function is ] ] it is approximately continuous ].
<ref>{{cite journal| issn = 0528-2195| volume = 103| issue = 1| pages = 95–96| last = Lukeš| first = Jaroslav| title = A topological proof of Denjoy-Stepanoff theorem| journal = Časopis pro pěstování matematiky| access-date = 2025-01-20| date = 1978| url = https://dml.cz/handle/10338.dmlcz/117963}}</ref>
</blockquote>


Approximately continuous functions are intimately connected to ]s. For a function <math>f \in L^1(E)</math>, a point <math>x_0</math> is a Lebesgue point if it is a point of Lebesgue density 1 for <math>E</math> and satisfies Approximately continuous functions are intimately connected to ]s. For a function <math>f \in L^1(E)</math>, a point <math>x_0</math> is a Lebesgue point if it is a point of Lebesgue density 1 for <math>E</math> and satisfies
:<math>\lim_{r\downarrow 0} \frac{1}{\lambda (B_r (x_0))} \int_{E\cap B_r (x_0)} |f(x)-f(x_0)|\, dx = 0</math> :<math>\lim_{r\downarrow 0} \frac{1}{\lambda (B_r (x_0))} \int_{E\cap B_r (x_0)} |f(x)-f(x_0)|\, dx = 0</math>
where <math>\lambda</math> denotes the ] and <math>B_r(x_0)</math> represents the ball of radius <math>r</math> centered at <math>x_0</math>. Every Lebesgue point of a function is necessarily a point of approximate continuity.<ref>{{cite book |last=Thomson |first=B.S. |title=Real functions |publisher=Springer |year=1985 |isbn= |pages=}}</ref> The converse relationship holds under additional constraints: when <math>f</math> is ], its points of approximate continuity coincide with its Lebesgue points.<ref>{{cite book |last=Munroe |first=M.E. |title=Introduction to measure and integration |publisher=Addison-Wesley |year=1953 |isbn= |pages=}}</ref> where <math>\lambda</math> denotes the ] and <math>B_r(x_0)</math> represents the ball of radius <math>r</math> centered at <math>x_0</math>. Every Lebesgue point of a function is necessarily a point of approximate continuity.<ref>{{cite book |last=Thomson |first=B.S. |title=Real functions |publisher=Springer |year=1985 |isbn= |pages=}}</ref> The converse relationship holds under additional constraints: when <math>f</math> is ], its points of approximate continuity coincide with its Lebesgue points.<ref>{{cite book |last=Munroe |first=M.E. |title=Introduction to measure and integration |publisher=] |year=1953 |isbn= |pages=}}</ref>


== See also == == See also ==

Latest revision as of 08:02, 20 January 2025

Mathematical concept in measure theory
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In mathematics, particularly in mathematical analysis and measure theory, an approximately continuous function is a concept that generalizes the notion of continuous functions by replacing the ordinary limit with an approximate limit. This generalization provides insights into measurable functions with applications in real analysis and geometric measure theory.

Definition

Let E R n {\displaystyle E\subseteq \mathbb {R} ^{n}} be a Lebesgue measurable set, f : E R k {\displaystyle f\colon E\to \mathbb {R} ^{k}} be a measurable function, and x 0 E {\displaystyle x_{0}\in E} be a point where the Lebesgue density of E {\displaystyle E} is 1. The function f {\displaystyle f} is said to be approximately continuous at x 0 {\displaystyle x_{0}} if and only if the approximate limit of f {\displaystyle f} at x 0 {\displaystyle x_{0}} exists and equals f ( x 0 ) {\displaystyle f(x_{0})} .

Properties

A fundamental result in the theory of approximately continuous functions is derived from Lusin's theorem, which states that every measurable function is approximately continuous at almost every point of its domain. The concept of approximate continuity can be extended beyond measurable functions to arbitrary functions between metric spaces. The Stepanov-Denjoy theorem provides a remarkable characterization:

Stepanov-Denjoy theorem: A function is measurable if and only if it is approximately continuous almost everywhere.

Approximately continuous functions are intimately connected to Lebesgue points. For a function f L 1 ( E ) {\displaystyle f\in L^{1}(E)} , a point x 0 {\displaystyle x_{0}} is a Lebesgue point if it is a point of Lebesgue density 1 for E {\displaystyle E} and satisfies

lim r 0 1 λ ( B r ( x 0 ) ) E B r ( x 0 ) | f ( x ) f ( x 0 ) | d x = 0 {\displaystyle \lim _{r\downarrow 0}{\frac {1}{\lambda (B_{r}(x_{0}))}}\int _{E\cap B_{r}(x_{0})}|f(x)-f(x_{0})|\,dx=0}

where λ {\displaystyle \lambda } denotes the Lebesgue measure and B r ( x 0 ) {\displaystyle B_{r}(x_{0})} represents the ball of radius r {\displaystyle r} centered at x 0 {\displaystyle x_{0}} . Every Lebesgue point of a function is necessarily a point of approximate continuity. The converse relationship holds under additional constraints: when f {\displaystyle f} is essentially bounded, its points of approximate continuity coincide with its Lebesgue points.

See also

References

  1. "Approximate continuity". Encyclopedia of Mathematics. Retrieved January 7, 2025.
  2. Evans, L.C.; Gariepy, R.F. (1992). Measure theory and fine properties of functions. Studies in Advanced Mathematics. Boca Raton, FL: CRC Press.
  3. Federer, H. (1969). Geometric measure theory. Die Grundlehren der mathematischen Wissenschaften. Vol. 153. New York: Springer-Verlag.
  4. Saks, S. (1952). Theory of the integral. Hafner.
  5. Lukeš, Jaroslav (1978). "A topological proof of Denjoy-Stepanoff theorem". Časopis pro pěstování matematiky. 103 (1): 95–96. ISSN 0528-2195. Retrieved 2025-01-20.
  6. Thomson, B.S. (1985). Real functions. Springer.
  7. Munroe, M.E. (1953). Introduction to measure and integration. Addison-Wesley.
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