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Related to Convolution operator: convolving, convolution integral


Anatomy any of the numerous convex folds or ridges of the surface of the brain


(kon-vŏ-loo -shŏn) A mathematical operation that is performed on two functions and expresses how the shape of one is ‘smeared’ by the other. Mathematically, the convolution of the functions f(x) and g(x) is given by
(u )g(x u )du

It finds wide application in physics; it describes, for example, how the transfer function of an instrument affects the response to an input signal. See also autocorrelation function; radio-source structure.



The convolution of the two functions f1(x) and f2(x) is the function

The convolution of f1(x) and f2(x) is sometimes denoted by f1 * f2

If f1 and f2 are the probability density functions of two independent random variables X and Y, then f1 * f2 is the probability density function of the random variable X + Y. If Fk(x) is the Fourier transform of the function fk(x), that is,

then F1(x) F2(x) is the Fourier transform of the function f1 * f2. This property of convolutions has important applications in probability theory. The convolution of two functions exhibits an analogous property with respect to the Laplace transform; this fact underlies broad applications of convolutions in operational calculus.

The operation of convolution of functions is commutative and associative—that is, f1 * f2 = f2 * f1 and f1 * (f2 * f3) = (f1 * f2) * f3. For this reason, the convolution of two functions can be regarded as a type of multiplication. Consequently, the theory of normed rings can be applied to the study of convolutions of functions.


A fold, twist, or coil of any organ, especially any one of the prominent convex parts of the brain, separated from each other by depressions or sulci.
The process of developing convolute bedding.
A structure resulting from a convolution process, such as a small-scale but intricate fold.
The convolution of the functions ƒ and g is the function F, defined by
A method for finding the distribution of the sum of two or more random variables; computed by direct integration or summation as contrasted with, for example, the method of characteristic functions.
References in periodicals archive ?
First, we obtain the commutant of a cyclic convolution operator on the Hardy space.
Every operator in the commutant of a cyclic convolution operator [K.
We define the spaces of test functions and distributions as well the convolution operators and the Laplace transform.
Srivastava, Some applications of differential subordination and the Dziok-Srivastava convolution operator, Appl.
Hohlov, Convolution operators that preserve univalent functions, Ukrain.
2, the de la Vallee-Poussin convolution operator of a quaternion variable for a W-analytic function f : [B.
Keywords: Evolution equation, Gross Laplacian, potential function, white noise analysis, generalized functions, convolution operator, Laplace transform, duality theorem.
C) To manipulate the results obtained in (A) and (B) in order to show that each convolution operator O is of the form Of = T * f for some T [member of] F' and all f [member of] F.
Convolution operators, having kernels of negative integer degree of homogeneity z = - k [member of] [Z.
Continuous linear decomposition operators are a standard tool in analysis which is important especially in the structure theory of classical spaces of (generalized) functions (see [18]) and for explicit formulas for continuous linear right inverses of convolution operators (see [13] and [12]).
Swaminathan, Multivalent harmonic convolution operators associated with generalized hypergeometric functions, preprint.