In functional analysis, it is often convenient to define a linear transformation on a complete, normed vector space by first defining a linear transformation on a dense subset of and then continuously extending to the whole space via the theorem below. The resulting extension remains linear and bounded, and is thus continuous, which makes it a continuous linear extension.
This procedure is known as continuous linear extension.
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is thus continuous, which makes it a continuouslinearextension. This procedure is known as continuouslinearextension. Every bounded linear transformation...
and related areas of mathematics, a continuouslinear operator or continuouslinear mapping is a continuouslinear transformation between topological vector...
specifically in linear algebra, a linear map (also called a linear mapping, linear transformation, vector space homomorphism, or in some contexts linear function)...
resulting from the concatenation of linear segment interpolants between each pair of data points. This results in a continuous curve, with a discontinuous derivative...
if x ′ ∈ X ′ {\displaystyle x^{\prime }\in X^{\prime }} is a continuouslinearextension of m ′ {\displaystyle m^{\prime }} to X {\displaystyle X} then...
its range is contained within Y . {\displaystyle Y.} See also Continuouslinearextension. A topological space X {\displaystyle X} is hyperconnected if...
{\textstyle C^{1}} -domain, the trace operator can be defined as continuouslinearextension of the operator T : C ∞ ( Ω ¯ ) → L p ( ∂ Ω ) {\displaystyle...
{\displaystyle \mathbb {R} .} However, this extension cannot always be done while keeping the linear functional continuous. The Hahn–Banach family of theorems...
{\displaystyle C} then every continuous positive linear form on M {\displaystyle M} has an extension to a continuous positive linear form on X . {\displaystyle...
{\displaystyle H.} Since the above inclusion is continuous, there is a unique continuouslinearextension I : H → L 2 ( E , γ ; R ) {\displaystyle I:H\to...
consequence of the continuouslinearextension theorem of elementary functional analysis: a bounded linear operator T0 defined on a dense linear subspace E0...
Tietze extension theorem (also known as the Tietze–Urysohn–Brouwer extension theorem or Urysohn-Brouwer lemma) states that any real-valued, continuous function...
In mathematics, a continuous function is a function such that a small variation of the argument induces a small variation of the value of the function...
norm. An important object of study in functional analysis are the continuouslinear operators defined on Banach and Hilbert spaces. These lead naturally...
finite number of continuouslinear functionals). Descriptions of subspaces include the solution set to a homogeneous system of linear equations, the subset...
{R} )} . Linear functions x ↦ a x + b {\displaystyle x\mapsto ax+b} are the simplest examples of uniformly continuous functions. Any continuous function...
Linear programming (LP), also called linear optimization, is a method to achieve the best outcome (such as maximum profit or lowest cost) in a mathematical...
it is continuous, in which case it is even uniformly continuous. Consequently, every linear map is either continuous everywhere or else continuous nowhere...
In statistics, linear regression is a statistical model which estimates the linear relationship between a scalar response and one or more explanatory...
dense subspace of L2 implies that each Riesz transform admits a continuouslinearextension to all of L2. Gilbarg, D.; Trudinger, Neil (1983), Elliptic Partial...
L:X\to Y} be a linear map. L : X → Y {\displaystyle L:X\to Y} is a topological homomorphism or homomorphism, if it is linear, continuous, and L : X → Im...
generalized linear model (GLM) is a flexible generalization of ordinary linear regression. The GLM generalizes linear regression by allowing the linear model...
}(\mathbf {R} ^{+})\rightarrow C^{\infty }(\mathbf {R} ),}} which is linear, continuous (for the topology of uniform convergence of functions and their derivatives...
of continuous and/or categorical predictors to a single outcome variable. The main difference between the two approaches is that the general linear model...
electro-mechanical linear actuator. Typically, an electric motor is mechanically connected to rotate a lead screw. A lead screw has a continuous helical thread...