Search references for GENERALIZED FUNCTION. Phrases containing GENERALIZED FUNCTION
See searches and references containing GENERALIZED FUNCTION!GENERALIZED FUNCTION
Objects extending the notion of functions
In mathematics, generalized functions are objects extending the notion of functions on real or complex numbers. There is more than one recognized theory
Generalized_function
Family of power series in mathematics
{\displaystyle n} is a rational function of n {\displaystyle n} . The series, if convergent, defines a generalized hypergeometric function, which may then be defined
Generalized hypergeometric function
Generalized_hypergeometric_function
Class of statistical models
In statistics, a generalized linear model (GLM) is a flexible generalization of ordinary linear regression. The GLM generalizes linear regression by allowing
Generalized_linear_model
Generalized function whose value is zero everywhere except at zero
Dirac delta function (or δ {\displaystyle {\boldsymbol {\delta }}} distribution), also known as the unit impulse, is a generalized function on the real
Dirac_delta_function
Method of solution to differential equations
into account the modern language of the theory of distributions or generalized functions. Building off of the superposition principle in many-body theory
Green's_function
Operation on mathematical functions
vector/tuple-valued function in this generalized scheme, in which case this is precisely the standard definition of function composition. A set of finitary
Function_composition
Function returning minus 1, zero or plus 1
(\operatorname {sgn} 0)^{2}=0} . This generalized signum allows construction of the algebra of generalized functions, but the price of such generalization
Sign_function
Mathematical function of two variables; outputs 1 if they are equal, 0 otherwise
{\displaystyle 1/p!} in § Properties of the generalized Kronecker delta below disappearing. In terms of the indices, the generalized Kronecker delta is defined as:
Kronecker_delta
Analytic function that does not satisfy a polynomial equation
Complex function Function (mathematics) Generalized function List of special functions and eponyms List of types of functions Rational function Special
Transcendental_function
Objects that generalize functions
mathematical analysis, distributions are a type of generalized function that makes it possible to differentiate functions whose derivatives do not exist in the classical
Distribution (mathematical analysis)
Distribution_(mathematical_analysis)
Integration kernels for smoothing out sharp features
smooth functions, used for example in distribution theory to create sequences of smooth functions approximating nonsmooth (generalized) functions, via convolution
Mollifier
Indicator function of positive numbers
The Heaviside step function, or the unit step function, usually denoted by H or θ (but sometimes u, 1 or 𝟙), is a step function named after Oliver Heaviside
Heaviside_step_function
Sequence of differential equation solutions
xy″+(α+1−x)y′+ny=0 are called generalized Laguerre polynomials, or associated Laguerre polynomials. One can also define the generalized Laguerre polynomials recursively
Laguerre_polynomials
for the Generalized Riemann hypothesis to be true. It takes the form of an equivalent statement, to the effect that a certain generalized function is positive
Weil's_criterion
Order-preserving mathematical function
arose in calculus, and was later generalized to the more abstract setting of order theory. In calculus, a function f {\displaystyle f} defined on a subset
Monotonic_function
Mathematical relation consisting of a multi-variable function equal to zero
multivariable functions that are continuously differentiable. A common type of implicit function is an inverse function. Not all functions have a unique
Implicit_function
Theorem
the theory of generalized functions, published by Laurent Schwartz in 1952. It states, in broad terms, that the generalized functions introduced by Schwartz
Schwartz_kernel_theorem
to spaces of white noise test functions φ {\displaystyle \varphi } , and, by duality, to spaces of generalized functions Ψ {\displaystyle \Psi } of white
White_noise_analysis
Formula for the derivative of an inverse function
calculus, the inverse function rule is a formula that expresses the derivative of the inverse of a bijective and differentiable function f in terms of the
Inverse_function_rule
Formula for the derivative of a product
ddx(u⋅v)=dudx⋅v+u⋅dvdx. The rule may be extended or generalized to products of three or more functions, to a rule for higher-order derivatives of a product
Product_rule
Point to which functions converge in analysis
mathematics, the limit of a function is a fundamental concept in calculus and analysis concerning the behavior of that function near a particular input which
Limit_of_a_function
In mathematics, specifically in the theory of generalized functions, the limit of a sequence of distributions is the distribution that sequence approaches
Limit_of_distributions
Probability distribution
{\displaystyle a>0} . For non-negative x from a generalized gamma distribution, the probability density function is f ( x ; a , d , p ) = ( p / a d ) x d −
Generalized gamma distribution
Generalized_gamma_distribution
Mathematical function with no sudden changes
where arguments and values of functions are real numbers and complex numbers. The concept has been generalized to functions between metric spaces and between
Continuous_function
Generalized version of classical Green's function
Multiscale Green's function (MSGF) is a generalized and extended version of the classical Green's function (GF) technique for solving mathematical equations
Multiscale_Green's_function
Periodic distribution ("function") of "point-mass" Dirac delta sampling
mathematics, a Dirac comb (also known as sha function, impulse train or sampling function) is a periodic generalized function with the formula Ш T ( t ) := ∑ k
Dirac_comb
On converting relations to functions of several real variables
Ulisse Dini (1845–1918) generalized the real-variable version of the implicit function theorem to the context of functions of any number of real variables
Implicit_function_theorem
Multivariate derivative (mathematics)
gradient of a scalar-valued differentiable function f of several variables is the vector field (or vector-valued function) ∇f whose value at a point p gives the
Gradient
Topological vector spaces
(2001) [1994], "Generalized function", Encyclopedia of Mathematics, EMS Press. Vladimirov, V.S. (2001) [1994], "Generalized functions, space of", Encyclopedia
Spaces of test functions and distributions
Spaces_of_test_functions_and_distributions
Generalization of a mathematical distribution
an ultra-distribution) is a generalized function that extends the concept of a distributions by allowing test functions whose Fourier transforms have
Ultradistribution
Matrix of partial derivatives of a vector-valued function
vector-valued function in several variables generalizes the gradient of a scalar-valued function in several variables, which in turn generalizes the derivative
Jacobian matrix and determinant
Jacobian_matrix_and_determinant
S-shaped curve
logistic function and generalizations. In growth modeling, numerous generalizations exist, including the generalized logistic curve, the Gompertz function, the
Logistic_function
Instantaneous rate of change (mathematics)
the second derivative is its acceleration. Derivatives can be generalized to functions of several real variables. In this case, the derivative is reinterpreted
Derivative
Matrix of second derivatives
partial derivatives of a scalar-valued function, or scalar field. It describes the local curvature of a function of many variables. The Hessian matrix
Hessian_matrix
Type of singularity analysis
the wave front (set) WF(f) characterizes the singularities of a generalized function f, not only in space, but also with respect to its Fourier transform
Wave_front_set
Function used as a performance test problem for optimization algorithms
Theory and Applications. 80: 175–179. doi:10.1007/BF02196600. "Generalized Rosenbrock's function". Retrieved 2008-09-16. Kok, Schalk; Sandrock, Carl (2009)
Rosenbrock_function
Operation in calculus
sense that a wider class of functions are Lebesgue-integrable. Integrals may be generalized depending on the type of the function as well as the domain over
Integral
Study of rates of change
(after Laurent Schwartz) extended derivation to generalized functions (e.g., the Dirac delta function previously introduced in Quantum Mechanics) and
Differential_calculus
Construction for adding objects to a Hilbert space
paragraphs 23.8 and 23.32) Gel'fand, I. M.; Vilenkin, N. Ya (1964). Generalized Functions: Applications of Harmonic Analysis. Burlington: Elsevier Science
Rigged_Hilbert_space
Probability distribution
The exponential generalized beta (EGB) distribution follows directly from the GB and generalizes other common distributions. A generalized beta random variable
Generalized_beta_distribution
Theorem in mathematics
complex-valued functions of a complex variable. It generalizes to functions from n-tuples (of real or complex numbers) to n-tuples, and to functions between
Inverse_function_theorem
Formulation of classical mechanics
}}=0} so the new generalized coordinates and momenta are constants of motion. As they are constants, in this context the new generalized momenta P {\displaystyle
Hamilton–Jacobi_equation
Mathematical conjecture about zeros of L-functions
special case of Dirichlet L-functions.) The Generalized Riemann hypothesis asserts that all nontrivial zeros of Dirichlet L-function L ( χ , s ) {\textstyle
Generalized Riemann hypothesis
Generalized_Riemann_hypothesis
Model of an energy potential in quantum mechanics
potential well mathematically described by the Dirac delta function - a generalized function. Qualitatively, it corresponds to a potential which is zero
Delta_potential
Mathematical theorem
of distributions (generalized functions) eliminates analytic problems with the symmetry. The derivative of an integrable function can always be defined
Symmetry of second derivatives
Symmetry_of_second_derivatives
Mathematical approximation of a function
z-a} is known as a Puiseux series. The Taylor series may also be generalized to functions of more than one variable with T ( x 1 , … , x d ) = ∑ n 1 = 0
Taylor_series
Formula for the derivative of a ratio of functions
rule is a method of finding the derivative of a function that is the ratio of two differentiable functions. Let h(x)=f(x)g(x), where both f and g are
Quotient_rule
Mathematical solution
a weak solution (also called a generalized solution) to an ordinary or partial differential equation is a function for which the derivatives may not
Weak_solution
Function with a multiplicative scaling behaviour
∈ V . {\displaystyle v\in V.} This definition is often further generalized to functions whose domain is not V, but a cone in V, that is, a subset C of
Homogeneous_function
Type of function
singularity Generalized function Distribution Minkowski's question-mark function (**) This condition depends on the references "Singular function", Encyclopedia
Singular_function
Associative algebra used in combinatorics
examples can be unified and generalized by considering a multiset E, and finite sub-multisets S and T of E. The Möbius function is μ ( S , T ) = { 0 if
Incidence_algebra
Statistics models class
a generalized additive model (GAM) is a generalized linear model in which the linear response variable depends linearly on unknown smooth functions of
Generalized_additive_model
Mapping involving integration between function spaces
maps a function from its original function space into another function space via integration, where some of the properties of the original function might
Integral_transform
Derivative of a function with multiple variables
In this case, it is said that f is a C1 function. This can be used to generalize for vector valued functions, f:U→ℝm, by carefully using a component-wise
Partial_derivative
Concept in statistical mechanics
motion to d time (but still one space) dimensions: it is a random (generalized) function from Rd to R. In particular, the one-dimensional continuum GFF is
Gaussian_free_field
the generalized-Ozaki (GO) cost function is a general description of the cost of production proposed by Shinichiro Nakamura. The GO cost function is notable
Generalized Ozaki cost function
Generalized_Ozaki_cost_function
Topics referred to by the same term
A Dirac delta function or simply delta function is a generalized function on the real number line denoted by δ that is zero everywhere except at zero
Delta function (disambiguation)
Delta_function_(disambiguation)
Method for assigning values to integrals
a<b<c} and where b is the difficult point, at which the behavior of the function f is such that ∫ a b f ( x ) d x = ± ∞ {\displaystyle \int _{a}^{b}f(x)\
Cauchy_principal_value
Mathematical transform that expresses a function of time as a function of frequency
also be generalized to functions of several variables on Euclidean space, sending a function of 3-dimensional "position space" to a function of 3-dimensional
Fourier_transform
Mathematical concept
choosing a function f and its Fourier transform, we get the formula above. The Riemann-Weil formula can be generalized to arithmetical functions other than
Explicit formulae for L-functions
Explicit_formulae_for_L-functions
{\displaystyle \alpha ,\beta \geq 0} , is a space of test functions for the theory of generalized functions, introduced by Israel Gelfand and Georgii Shilov.
Gelfand–Shilov_space
Conditions for switching order of integration in calculus
distributions - version of Fubini's theorem for distributions, that is, generalized functions Kuratowski–Ulam theorem – analog of Fubini's theorem for arbitrary
Fubini's_theorem
Type of differential operator
composition of a Fourier transform, a simple multiplication by the polynomial function (called the symbol) P(ξ)=∑αaαξα, and an inverse Fourier transform, in the
Pseudo-differential_operator
Method of mathematical integration
introduce the Lebesgue integral is to use so-called simple functions, which generalize the step functions of Riemann integration. Consider, for example, determining
Lebesgue_integral
N-th root of the arithmetic mean of the given numbers raised to the power n
In mathematics, generalized means (or power mean or Hölder mean from Otto Hölder) are a family of functions for aggregating sets of numbers. These include
Generalized_mean
"Smoothing" integral transform
be given by the function F {\displaystyle F} . By using values of t {\displaystyle t} different from 1, we can define the generalized Weierstrass transform
Weierstrass_transform
Concept in theoretical computer science
machines with n states and m symbols defines the following generalized busy beaver functions: Σ(n, m): the largest number of non-zeros printable by an
Busy_beaver
Mathematical function, denoted exp(x) or e^x
current value of f ( x ) {\displaystyle f(x)} . The exponential function can be generalized to accept complex numbers as arguments. This reveals relations
Exponential_function
Association of one output to each input
logicians, give precise definitions for these weakly specified functions. These generalized functions may be critical in the development of a formalization of
Function_(mathematics)
Type of generalized function
f\circ \Phi :=(f_{+}\circ \Phi ,f_{-}\circ \Phi )} Algebraic analysis Generalized function Distribution (mathematics) Microlocal analysis Pseudo-differential
Hyperfunction
Technique in integral evaluation
in 1769. Although generalized to triple integrals by Lagrange in 1773, and used by Legendre, Laplace, and Gauss, and first generalized to n variables by
Integration_by_substitution
Mathematical theorem about functions
Fourier inversion theorem says that for many types of functions it is possible to recover a function from its Fourier transform. Intuitively it may be viewed
Fourier_inversion_theorem
Branch of mathematics
called the derivative function or just the derivative of the original function. Geometrically speaking, the derivative generalizes the idea of the slope
Calculus
Russian mathematician (1923–2012)
mathematical physics, quantum field theory, numerical analysis, generalized functions, several complex variables, p-adic analysis, multidimensional Tauberian
Vasily_Vladimirov
Generalization of the product rule in calculus
named after Gottfried Wilhelm Leibniz, generalizes the product rule for the derivative of the product of two functions (which is also known as "Leibniz's
General_Leibniz_rule
Equation in Fourier analysis
summation of a function to values of the function's continuous Fourier transform. Consequently, the periodic summation of a function is completely defined
Poisson_summation_formula
Topics referred to by the same term
Wiktionary, the free dictionary. Distribution (mathematical analysis), generalized function used to formulate solutions of partial differential equations Distribution
Distribution
Relationship between derivatives and integrals
differentiating a function (calculating its slopes, or rate of change at every point on its domain) with the concept of integrating a function (calculating
Fundamental theorem of calculus
Fundamental_theorem_of_calculus
Signal processing technique
Generalized pencil-of-function method (GPOF), also known as matrix pencil method, is a signal processing technique for estimating a signal or extracting
Generalized pencil-of-function method
Generalized_pencil-of-function_method
Mathematical operation in calculus
implicit differentiation is a method for finding the derivative of a function that is defined by an equation rather than by an explicit formula. If an
Implicit_differentiation
Boundary condition for generalized functions
extends the notion of the restriction of a function to the boundary of its domain to "generalized" functions in a Sobolev space. This is particularly important
Trace_operator
Generalisation of the derivative of a function
generalization of the concept of the derivative of a function (strong derivative) for functions not assumed differentiable, but only integrable, i.e.
Weak_derivative
Techniques in mathematical analysis
analysis is a branch of mathematical analysis that studies functions, generalized functions and partial differential equations by localizing them both
Microlocal_analysis
Theorem in vector calculus
to a function F as ωF. Then one can calculate that ⋆ω∇×𝐅=dω𝐅, where ★ is the Hodge star and d is the exterior derivative. Thus, by generalized Stokes'
Stokes'_theorem
Family of probability distributions often used to model tails or extreme values
In statistics, the generalized Pareto distribution (GPD) is a family of continuous probability distributions. It is often used to model the tails of another
Generalized Pareto distribution
Generalized_Pareto_distribution
Approximation of a function by a polynomial
differentiable function around a given point by a polynomial of degree k, called the k-th-order Taylor polynomial. For a smooth function, the Taylor polynomial
Taylor's_theorem
Real function with secant line between points above the graph itself
function is called convex if the line segment between any two distinct points on the graph of the function lies above or on the graph of the function
Convex_function
Class of discontinuous functions
points. Singularity functions have been heavily studied in the field of mathematics under the alternative names of generalized functions and distribution
Singularity_function
Notation of differential calculus
for differentiation. Instead, several notations for the derivative of a function or a dependent variable have been proposed by various mathematicians, including
Notation_for_differentiation
In mathematics, the crenel function is a periodic discontinuous function P(x) defined as 1 for x belonging to a given interval and 0 outside of it. It
Crenel_function
Type of derivative in mathematics
multivariable calculus, the same property is generalized to define the derivative of a vector-valued function or function of a vector argument. Sometimes called
Derivative (multivariable calculus)
Derivative_(multivariable_calculus)
Instantaneous rate of change of the function
[1+ε(d/dx)] is a translation operator. This is instantly generalized to multivariable functions f(x) f(𝐱+𝜺)=(1+𝜺⋅∇)f(𝐱). Here 𝜺⋅∇ is the directional
Directional_derivative
Russian mathematician (1908-1989)
embedding theorems are an important subject in functional analysis. Generalized functions (later known as distributions) were first introduced by Sobolev
Sergei_Sobolev
Technique of studying linear partial differential equations
real-analytic functions on M is the restriction of the sheaf of holomorphic functions on X to M. Hyperfunction D-module Microlocal analysis Generalized function Edge-of-the-wedge
Algebraic_analysis
Method of differentiating single-term polynomials
In calculus, the power rule is used to differentiate functions of the form f ( x ) = x r {\displaystyle f(x)=x^{r}} , whenever r {\displaystyle r} is
Power_rule
Type of distribution in mathematical analysis
these symbol classes generalize the notion of positively homogeneous functions of degree m {\displaystyle m} . As with the phase function ϕ {\displaystyle
Oscillatory_integral
Mathematical functions which are smooth but not analytic
which are important in theories of generalized functions, such as Laurent Schwartz's theory of distributions. The functions below are generally used to build
Non-analytic_smooth_function
Mathematics of real numbers and real functions
Distributions (or generalized functions) are objects that generalize functions. Distributions make it possible to differentiate functions whose derivatives
Real_analysis
Derivative defined on normed spaces
commonly used to generalize the derivative of a real-valued function of a single real variable to the case of a vector-valued function of multiple real
Fréchet_derivative
Theorem in mathematics
theorem) is a theorem about differentiable functions, roughly stating that the average rate of change of such a function over an interval is equal to the instantaneous
Mean_value_theorem
travel, tourism, insurance
GENERALIZED FUNCTION
GENERALIZED FUNCTION
GENERALIZED FUNCTION
GENERALIZED FUNCTION
GENERALIZED FUNCTION
GENERALIZED FUNCTION
GENERALIZED FUNCTION
GENERALIZED FUNCTION
GENERALIZED FUNCTION
travel, tourism, insurance