Distributions — Topic Summaries
AI-powered summaries of 7 videos about Distributions.
7 summaries
Distributions 1 | Motivation and Delta Function [dark version]
Distributions were introduced to make sense of derivatives and other operations that break down at “sharp” features—especially jumps like the...
Distributions 13 | Convolution
Convolution, first defined for ordinary integrable functions, can be extended to distributions by shifting the definition onto test functions and...
Distributions 5 | Regular Distributions [dark version]
Regular distributions are exactly those distributions that can be represented by ordinary functions—more precisely, by locally integrable...
Distributions 9 | Coordinate Transformation [dark version]
Invertible coordinate changes act on distributions by composing test functions with the inverse map and correcting by the Jacobian determinant. That...
Distributions 17 | Convolution with Distributions of Compact Support
Convolution for distributions becomes workable far beyond the “test function + distribution” setting once one input is restricted to have compact...
Distributions 16 | Distributions with Compact Support
Distributions can be applied not only to compactly supported test functions, but also to a larger class of smooth functions—provided the distribution...
Distributions 12 | Finite-Order Distributions [dark version]
Finite-order distributions are singled out by a sharpened version of the basic estimate for distributions: the same derivative order must control the...