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Linear Functional
(redirected from Linear functionals)

   Also found in: Wikipedia 0.01 sec.
linear functional [′lin·ē·ər ′fəŋk·shən·əl]
(mathematics)
A linear transformation from a vector space to its scalar field.

Linear Functional 

a generalization of the concept of linear form to vector spaces. A number-valued function f defined on a normed vector space E is called a linear functional on E if

(1) f(x) is linear, that is,

f(αx + βγ) = αf(x) + βf(y)

where x and y are any element of E and a and β are numbers, and

(2) f(x) is continuous. The continuity of f is equivalent to the requirement that ǀf(x)ǀ/ǀǀxǀǀ be bounded on E; in the latter case, the quantity

is called the norm of f and designated by ǀǀfǀǀ. Let C[a, b] be the space of the functions α(t), continuous for atb, with norm

Then the expressions

yield examples of linear functionals. In Hilbert space H the class of linear functionals coincides with the class of scalar products (l, x), where l is any fixed element of H.

In many problems it follows from general considerations that a certain quantity defines a linear functional. For example, solution of linear differential equations with linear boundary conditions leads to linear functionals. Therefore, the question of a general analytic expression for a linear functional in various spaces is of great significance.

The set of linear functionals on a given space E is made into a normed vector space E by introducing natural definitions of addition of linear functionals and their multiplication by numbers. The space E is called the adjoint of E; this space plays a major role in the study of E.

The concept of weak convergence involves linear functionals. Thus, a sequence {xn} of elements of a normed vector space is said to be weakly convergent to the element x if

for any linear functional f.



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This book is based on the author's own class-tested material and uses clear language to explain the major concepts of functional analysis, including Banach spaces, Hilbert spaces, topological vector spaces, as well as bounded linear functionals and operators.
Contents: 1 Measures 2 Construction of measures 3 Measure and topology 4 Continuous linear functionals 5 Duality 6 Bounded operators 7 Banach algebras 8 Hilbert spaces 9 Integral representation 10 Unbounded operators Application I Probability Application II Distributions Bibliography Index For more information visit http://www.
 
 
 
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