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Glossary of real and complex analysis

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This is a glossary of concepts and results in real analysis and complex analysis in mathematics.

See also: list of real analysis topics, list of complex analysis topics and glossary of functional analysis.

Contents: 

A

Abel
1.  Abel sum
2.  Abel integral
analytic continuation
An analytic continuation of a holomorphic function is a unique holomorphic extension of the function (on a connected open subset of C {\displaystyle \mathbb {C} } ).
argument principle
argument principle
Ascoli
Ascoli's theorem says that an equicontinous bounded sequence of functions on a compact subset of R n {\displaystyle \mathbb {R} ^{n}} has a convergent subsequence with respect to the sup norm.

B

Borel
1.  A Borel measure is a measure whose domain is the Borel σ-algebra.
2.  The Borel σ-algebra on a topological space is the smallest σ-algebra containing all open sets.
3.  Borel's lemma says that a given formal power series, there is a smooth function whose Taylor series coincides with the given series.
bounded
A subset A {\displaystyle A} of a metric space ( X , d ) {\displaystyle (X,d)} is bounded if there is some C > 0 {\displaystyle C>0} such that d ( a , b ) < C {\displaystyle d(a,b)<C} for all a , b A {\displaystyle a,b\in A} .
bump
A bump function is a nonzero compactly-supported smooth function, usually constructed using the exponential function.

C

Calderón
Calderón–Zygmund lemma
capacity
Capacity of a set is a notion in potential theory.
Carathéodory
Carathéodory's extension theorem
Cartan
Cartan's theorems A and B.
Cauchy
1.  The Cauchy–Riemann equations are a system of differential equations such that a function satisfying it (in the distribution sense) is a holomorphic function.
2.  Cauchy integral formula.
3.  Cauchy residue theorem.
4.  Cauchy's estimate.
5.  The Cauchy principal value is, when possible, a number assigned to a function when the function is not integrable.
6.  On a metric space, a sequence x n {\displaystyle x_{n}} is called a Cauchy sequence if d ( x n , x m ) 0 {\displaystyle d(x_{n},x_{m})\to 0} ; i.e., for each ϵ > 0 {\displaystyle \epsilon >0} , there is an N > 0 {\displaystyle N>0} such that d ( x n , x m ) < ϵ {\displaystyle d(x_{n},x_{m})<\epsilon } for all n , m N {\displaystyle n,m\geq N} .
Cesàro
Cesàro summation is one way to compute a divergent series.
continuous
A function f : X Y {\displaystyle f:X\to Y} between metric spaces ( X , d X ) {\displaystyle (X,d_{X})} and ( Y , d Y ) {\displaystyle (Y,d_{Y})} is continuous if for any convergent sequence x n x {\displaystyle x_{n}\to x} in X {\displaystyle X} , we have f ( x n ) f ( x ) {\displaystyle f(x_{n})\to f(x)} in Y {\displaystyle Y} .
contour
The contour integral of a measurable function f {\displaystyle f} over a piece-wise smooth curve γ : [ 0 , 1 ] C {\displaystyle \gamma :\to \mathbb {C} } is γ f d z := 0 1 γ ( f d z ) {\displaystyle \int _{\gamma }f\,dz:=\int _{0}^{1}\gamma ^{*}(f\,dz)} .
converge
1.  A sequence x n {\displaystyle x_{n}} in a topological space is said to converge to a point x {\displaystyle x} if for each open neighborhood U {\displaystyle U} of x {\displaystyle x} , the set { n x n U } {\displaystyle \{n\mid x_{n}\not \in U\}} is finite.
2.  A sequence x n {\displaystyle x_{n}} in a metric space is said to converge to a point x {\displaystyle x} if for all ϵ > 0 {\displaystyle \epsilon >0} , there exists an N > 0 {\displaystyle N>0} such that for all n > N {\displaystyle n>N} , we have d ( x n , x ) < ϵ {\displaystyle d(x_{n},x)<\epsilon } .
3.  A series x 1 + x 2 + {\displaystyle x_{1}+x_{2}+\cdots } on a normed space (e.g., R n {\displaystyle \mathbb {R} ^{n}} ) is said to converge if the sequence of the partial sums s n := 1 n x j {\displaystyle s_{n}:=\sum _{1}^{n}x_{j}} converges.
convolution
The convolution f g {\displaystyle f*g} of two functions on a convex set is given by
( f g ) ( x ) = f ( y x ) g ( y ) d y , {\displaystyle (f*g)(x)=\int f(y-x)g(y)\,dy,}
provided the integration converges.
Cousin
Cousin problems.
cutoff
cutoff function.

D

Dedekind
A Dedekind cut is one way to construct real numbers.
derivative
Given a map f : E F {\displaystyle f:E\to F} between normed spaces, the derivative of f {\displaystyle f} at a point x is a (unique) linear map T : E F {\displaystyle T:E\to F} such that lim h 0 f ( x + h ) f ( x ) T h / h = 0 {\displaystyle \lim _{h\to 0}\|f(x+h)-f(x)-Th\|/\|h\|=0} .
differentiable
A map between normed space is differentiable at a point x if the derivative at x exists.
differentiation
Lebesgue's differentiation theorem says: f ( x ) = lim r 0 1 vol ( B ( x , r ) ) B ( x , r ) f d μ {\displaystyle f(x)=\lim _{r\to 0}{\frac {1}{\operatorname {vol} (B(x,r))}}\int _{B(x,r)}f\,d\mu } for almost all x.
Dirac
The Dirac delta function δ 0 {\displaystyle \delta _{0}} on R n {\displaystyle \mathbb {R} ^{n}} is a distribution (so not exactly a function) given as δ 0 , φ = φ ( 0 ) . {\displaystyle \langle \delta _{0},\varphi \rangle =\varphi (0).}
distribution
A distribution is a type of a generalized function; precisely, it is a continuous linear functional on the space of test functions.
divergent
A divergent series is a series whose partial sum does not converge. For example, 1 1 n {\displaystyle \sum _{1}^{\infty }{\frac {1}{n}}} is divergent.
dominated
Lebesgue's dominated convergence theorem says f n d μ {\displaystyle \int f_{n}\,d\mu } converges to f d μ {\displaystyle \int f\,d\mu } if f n {\displaystyle f_{n}} is a sequence of measurable functions such that f n {\displaystyle f_{n}} converges to f {\displaystyle f} pointwise and | f n | g {\displaystyle |f_{n}|\leq g} for some integrable function g {\displaystyle g} .

E

edge
Edge-of-the-wedge theorem.
entire
An entire function is a holomorphic function whose domain is the entire complex plane.
equicontinuous
A set S {\displaystyle S} of maps between fixed metric spaces is said to be equicontinuous if for each ϵ > 0 {\displaystyle \epsilon >0} , there exists a δ > 0 {\displaystyle \delta >0} such that sup f S d ( f ( x ) , f ( y ) ) < ϵ {\displaystyle \sup _{f\in S}d(f(x),f(y))<\epsilon } for all x , y {\displaystyle x,y} with d ( x , y ) < δ {\displaystyle d(x,y)<\delta } . A map f {\displaystyle f} is uniformly continuous if and only if { f } {\displaystyle \{f\}} is equicontinuous.

F

Fatou
Fatou's lemma
Fourier
1.  The Fourier transform of a function f {\displaystyle f} on R n {\displaystyle \mathbb {R} ^{n}} is: (provided it makes sense)
f ^ ( ξ ) = f ( x ) e 2 π i x ξ d x . {\displaystyle {\widehat {f}}(\xi )=\int f(x)e^{-2\pi ix\cdot \xi }\,dx.}
2.  The Fourier transform f ^ {\displaystyle {\widehat {f}}} of a distribution f {\displaystyle f} is f ^ , φ = f , φ ^ {\displaystyle \langle {\widehat {f}},\varphi \rangle =\langle f,{\widehat {\varphi }}\rangle } . For example, δ 0 ^ = 1 {\displaystyle {\widehat {\delta _{0}}}=1} (Fourier's inversion formula).

G

Gauss
1.  The Gauss–Green formula
2.  Gaussian kernel
generalized
A generalized function is an element of some function space that contains the space of ordinary (e.g., locally integrable) functions. Examples are Schwartz's distributions and Sato's hyperfunctions.

H

Hardy
1.  The Hardy–Littlewood maximal inequality.
2.  Hardy space
Hartogs
1.  Hartogs extension theorem
2.  Hartogs's theorem on separate holomorphicity
harmonic
A function is harmonic if it satisfies the Laplace equation (in the distribution sense if the function is not twice differentiable).
Hausdorff
The Hausdorff–Young inequality says that the Fourier transformation ^ : L p ( R n ) L p ( R n ) {\displaystyle {\widehat {\cdot }}:L^{p}(\mathbb {R} ^{n})\to L^{p'}(\mathbb {R} ^{n})} is a well-defined bounded operator when 1 / p + 1 / p = 1 {\displaystyle 1/p+1/p'=1} .
Heaviside
The Heaviside function is the function H on R {\displaystyle \mathbb {R} } such that H ( x ) = 1 , x 0 {\displaystyle H(x)=1,\,x\geq 0} and H ( x ) = 0 , x < 0 {\displaystyle H(x)=0,\,x<0} .
Hilbert space
A Hilbert space is a real or complex inner product space that is a complete metric space with the metric induced by the inner product.
holomorphic function
A function defined on an open subset of C n {\displaystyle \mathbb {C} ^{n}} is holomorphic if it is complex differentiable. Equivalently, a function is holomorphic if it satisfies the Cauchy–Riemann equations (in the distribution sense if the function is not differentiable).

I

integrable
A measurable function f {\displaystyle f} is said to be integrable if | f | d μ < {\displaystyle \int |f|\,d\mu <\infty } .
integral
1.  The integral of the indicator function on a measurable set is the measure (volume) of the set.
2.  The integral of a measurable function is then defined by approximating the function by linear combinations of indicator functions.
isometry
An isometry between metric spaces ( X , d X ) {\displaystyle (X,d_{X})} and ( Y , d Y ) {\displaystyle (Y,d_{Y})} is a bijection f : X Y {\displaystyle f:X\to Y} that preserves the metric: d X ( x , x ) = d Y ( f ( x ) , f ( x ) ) {\displaystyle d_{X}(x,x')=d_{Y}(f(x),f(x'))} for all x , x X {\displaystyle x,x'\in X} .

L

Lebesgue integral
Lebesgue integral.
Lebesgue measure
Lebesgue measure.
Lelong
Lelong number.
Levi
Levi's problem asks to show a pseudoconvex set is a domain of holomorphy.
line integral
Line integral.
Liouville
Liouville's theorem says a bounded entire function is a constant function.
Lipschitz
1.  A map f {\displaystyle f} between metric spaces is said to be Lipschitz continuous if sup x y d ( f ( x ) , f ( y ) ) d ( x , y ) < {\displaystyle \sup _{x\neq y}{\frac {d(f(x),f(y))}{d(x,y)}}<\infty } .
2.  A map is locally Lipschitz continuous if it is Lipschitz continuous on each compact subset.

M

maximum
The maximum principle says that a maximum value of a harmonic function in a connected open set is attained on the boundary.
measurable function
A measurable function is a structure-preserving function between measurable spaces in the sense that the preimage of any measurable set is measurable.
measurable set
A measurable set is an element of a σ-algebra.
measurable space
A measurable space consists of a set and a σ-algebra on that set which specifies what sets are measurable.
measure
A measure is a function on a measurable space that assigns to each measurable set a number representing its measure or size. Specifically, if X is a set and Σ is a σ-algebra on X, then a set-function μ from Σ to the extended real number line is called a measure if the following conditions hold:
  • Non-negativity: For all E Σ ,     μ ( E ) 0. {\displaystyle E\in \Sigma ,\ \ \mu (E)\geq 0.}
  • μ ( ) = 0. {\displaystyle \mu (\varnothing )=0.}
  • Countable additivity (or σ-additivity): For all countable collections { E k } k = 1 {\displaystyle \{E_{k}\}_{k=1}^{\infty }} of pairwise disjoint sets in Σ,
μ ( k = 1 E k ) = k = 1 μ ( E k ) . {\displaystyle \mu \left(\bigcup _{k=1}^{\infty }E_{k}\right)=\sum _{k=1}^{\infty }\mu (E_{k}).}
measure space
A measure space consists of a measurable space and a measure on that measurable space.
meromorphic
A meromorphic function is an equivalence class of functions that are locally fractions of holomorphic functions.
method of stationary phase
The method of stationary phase.
metric space
A metric space is a set X equipped with a function d : X × X R 0 {\displaystyle d:X\times X\to \mathbb {R} _{\geq 0}} , called a metric, such that (1) d ( x , y ) = 0 {\displaystyle d(x,y)=0} iff x = y {\displaystyle x=y} , (2) d ( x , y ) d ( x , z ) + d ( z , y ) {\displaystyle d(x,y)\leq d(x,z)+d(z,y)} for all x , y , z X {\displaystyle x,y,z\in X} , (3) d ( x , y ) = d ( y , x ) {\displaystyle d(x,y)=d(y,x)} for all x , y X {\displaystyle x,y\in X} .
microlocal
The notion microlocal refers to a consideration on the cotangent bundle to a space as opposed to that on the space itself. Explicitly, it amounts to considering functions on both points and momenta; not just functions on points.
Morera
Morera's theorem says a function is holomorphic if the integrations of it over arbitrary closed loops are zero.
Morse
Morse function.

N

Nevanlinna theory
Nevanlinna theory concerns meromorphic functions.
net
A net is a generalization of a sequence.
normed vector space
A normed vector space, also called a normed space, is a real or complex vector space V on which a norm is defined. A norm is a map : V R {\displaystyle \lVert \cdot \rVert :V\to \mathbb {R} } satisfying four axioms:
  1. Non-negativity: for every x V {\displaystyle x\in V} , x 0 {\displaystyle \;\lVert x\rVert \geq 0} .
  2. Positive definiteness: for every x V {\displaystyle x\in V} , x = 0 {\displaystyle \;\lVert x\rVert =0} if and only if x {\displaystyle x} is the zero vector.
  3. Absolute homogeneity: for every scalar λ {\displaystyle \lambda } and x V {\displaystyle x\in V} , λ x = | λ | x {\displaystyle \lVert \lambda x\rVert =|\lambda |\,\lVert x\rVert }
  4. Triangle inequality: for every x V {\displaystyle x\in V} and y V {\displaystyle y\in V} , x + y x + y . {\displaystyle \|x+y\|\leq \|x\|+\|y\|.}

O

Oka
Oka's coherence theorem says the sheaf O C n {\displaystyle {\mathcal {O}}_{\mathbb {C} ^{n}}} of holomorphic functions is coherent.
open
The open mapping theorem (complex analysis)
oscillatory integral
An oscillatory integral can give a sense to a formal integral expression like δ 0 ( x ) = e 2 π i x ξ d ξ . {\displaystyle \delta _{0}(x)=\int e^{2\pi ix\cdot \xi }\,d\xi .}

P

Paley
Paley–Wiener theorem
phase
The phase space to a configuration space X {\displaystyle X} (in classical mechanics) is the cotangent bundle T X {\displaystyle T^{*}X} to X {\displaystyle X} .
plurisubharmonic
A function f {\displaystyle f} on an open subset U C {\displaystyle U\subset \mathbb {C} } is said to be plurisubharmonic if t f ( z + t w ) {\displaystyle t\mapsto f(z+tw)} is subharmonic for t {\displaystyle t} in a neighborhood of zero in C {\displaystyle \mathbb {C} } and z , w {\displaystyle z,w} points in U {\displaystyle U} .
Poisson
Poisson kernel
power series
A power series is informally a polynomial of infinite degree; i.e., n = 1 a n x n {\displaystyle \sum _{n=1}^{\infty }a_{n}x^{n}} .
pseudoconex
A pseudoconvex set is a generalization of a convex set.

R

Radon measure
Let X {\displaystyle X} be a locally compact Hausdorff space and let I {\displaystyle I} be a positive linear functional on the space of continuous functions with compact support C c ( X ) {\displaystyle C_{c}(X)} . Positivity means that I ( f ) 0 {\displaystyle I(f)\geq 0} if f 0 {\displaystyle f\geq 0} . There exist Borel measures μ {\displaystyle \mu } on X {\displaystyle X} such that I ( f ) = f d μ {\displaystyle I(f)=\int f\,d\mu } for all f C c ( X ) {\displaystyle f\in C_{c}(X)} . A Radon measure on X {\displaystyle X} is a Borel measure that is finite on all compact sets, outer regular on all Borel sets, and inner regular on all open sets. These conditions guarantee that there exists a unique Radon measure μ {\displaystyle \mu } on X {\displaystyle X} such that I ( f ) = f d μ {\displaystyle I(f)=\int f\,d\mu } for all f C c ( X ) {\displaystyle f\in C_{c}(X)} .
real-analytic
A real-analytic function is a function given by a convergent power series.
Riemann
1.  The Riemann integral of a function is either the upper Riemann sum or the lower Riemann sum when the two sums agree.
2.  The Riemann zeta function is a (unique) analytic continuation of the function z 1 1 n z , Re ( z ) > 1 {\displaystyle z\mapsto \sum _{1}^{\infty }{\frac {1}{n^{z}}},\,\operatorname {Re} (z)>1} (it's more traditional to write s {\displaystyle s} for z {\displaystyle z} ).
3.  The Riemann hypothesis, still a conjecture, says each nontrivial zero of the Riemann zeta function has real part equal to 1 2 {\displaystyle {\frac {1}{2}}} .
Runge
1.  Runge's approximation theorem.
2.  Runge domain.

S

Sato
Sato's hyperfunction, a type of a generalized function.
Schwarz
A Schwarz function is a function that is both smooth and rapid-decay.
semianalytic
The notion of semianalytic is an analog of semialgebraic.
sequence
A sequence on a set X {\displaystyle X} is a map N X {\displaystyle \mathbb {N} \to X} .
series
A series is informally an infinite summation process x 1 + x 2 + {\displaystyle x_{1}+x_{2}+\cdots } . Thus, mathematically, specifying a series is the same as specifying the sequence of the terms in the series. The difference is that, when considering a series, one is often interested in whether the sequence of partial sums s n := x 1 + + x n {\displaystyle s_{n}:=x_{1}+\cdots +x_{n}} converges or not and if so, to what.
σ-algebra
A σ-algebra on a set is a nonempty collection of subsets closed under complements, countable unions, and countable intersections.
Stieltjes
Stieltjes–Vitali theorem
Stone–Weierstrass theorem
The Stone–Weierstrass theorem is any one of a number of related generalizations of the Weierstrass approximation theorem, which states that any continuous real-valued function defined on a closed interval can be uniformly approximated by polynomials. Let X {\displaystyle X} be a compact Hausdorff space and let C ( X , R ) {\displaystyle C(X,\mathbb {R} )} have the uniform metric. One version of the Stone–Weierstrass theorem states that if A {\displaystyle {\mathcal {A}}} is a closed subalgebra of C ( X , R ) {\displaystyle C(X,\mathbb {R} )} that separates points and contains a nonzero constant function, then in fact A = C ( X , R ) {\displaystyle {\mathcal {A}}=C(X,\mathbb {R} )} . If a subalgebra is not closed, taking the closure and applying the previous version of the Stone–Weierstrass theorem reveals a different version of the theorem: if A {\displaystyle {\mathcal {A}}} is a subalgebra of C ( X , R ) {\displaystyle C(X,\mathbb {R} )} that separates points and contains a nonzero constant function, then A {\displaystyle {\mathcal {A}}} is dense in C ( X , R ) {\displaystyle C(X,\mathbb {R} )} .
subanalytic
subanalytic.
subharmonic
A twice continuously differentiable function f {\displaystyle f} is said to be subharmonic if Δ f 0 {\displaystyle \Delta f\geq 0} where Δ {\displaystyle \Delta } is the Laplacian. The subharmonicity for a more general function is defined by a limiting process.
subsequence
A subsequence of a sequence is another sequence contained in the sequence; more precisely, it is a composition N j N x X {\displaystyle \mathbb {N} {\overset {j}{\to }}\mathbb {N} {\overset {x}{\to }}X} where j {\displaystyle j} is a strictly increasing injection and x {\displaystyle x} is the given sequence.
support
1.  The support of a function is the closure of the set of points where the function does not vanish.
2.  The support of a distribution is the support of it in the sense in sheaf theory.

T

Tauberian
Tauberian theory is a set of results (called tauberian theorems) concerning a divergent series; they are sort of converses to abelian theorems but with some additional conditions.
Taylor
Taylor expansion
tempered
A tempered distribution is a distribution that extends to a continuous linear functional on the space of Schwarz functions.
test
A test function is a compactly-supported smooth function.

U

uniform
1.  A sequence of maps f n : X E {\displaystyle f_{n}:X\to E} from a topological space to a normed space is said to converge uniformly to f : X E {\displaystyle f:X\to E} if sup f n f 0 {\displaystyle \operatorname {sup} \|f_{n}-f\|\to 0} .
2.  A map between metric spaces is said to be uniformly continuous if for each ϵ > 0 {\displaystyle \epsilon >0} , there exist a δ > 0 {\displaystyle \delta >0} such that d ( f ( x ) , f ( y ) ) < ϵ {\displaystyle d(f(x),f(y))<\epsilon } for all x , y {\displaystyle x,y} with d ( x , y ) < δ {\displaystyle d(x,y)<\delta } .

V

Vitali
Vitali covering lemma.

W

Weierstrass
1.  Weierstrass preparation theorem.
2.  Weierstrass M-test.
Weyl
1.  Weyl calculus.
2.  Weyl quantization.
Whitney
1.  The Whitney extension theorem gives a necessary and sufficient condition for a function to be extended from a closed set to a smooth function on the ambient space.
2.  Whitney stratification

References

Further reading

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