Basic theorems of distributions and Fourier transforms

dc.contributor.authorLong, Na
dc.date.accessioned2014-11-21T22:24:06Z
dc.date.available2014-11-21T22:24:06Z
dc.date.graduationmonthDecember
dc.date.issued2014-11-21
dc.date.published2014
dc.description.abstractDistribution theory is an important tool in studying partial differential equations. Distributions are linear functionals that act on a space of smooth test functions. Distributions make it possible to differentiate functions whose derivatives do not exist in the classical sense. In particular, any locally integrable function has a distributional derivative. There are different possible choices for the space of test functions, leading to different spaces of distributions. In this report, we take a look at some basic theory of distributions and their Fourier transforms. And we also solve some typical exercises at the end.
dc.description.advisorMarianne Korten
dc.description.degreeMaster of Science
dc.description.departmentDepartment of Mathematics
dc.description.levelMasters
dc.identifier.urihttp://hdl.handle.net/2097/18731
dc.language.isoen_US
dc.publisherKansas State University
dc.rights© the author. This Item is protected by copyright and/or related rights. You are free to use this Item in any way that is permitted by the copyright and related rights legislation that applies to your use. For other uses you need to obtain permission from the rights-holder(s).
dc.rights.urihttp://rightsstatements.org/vocab/InC/1.0/
dc.subjectDistributions
dc.subjectFourier Transform
dc.subject.umiMathematics (0405)
dc.titleBasic theorems of distributions and Fourier transforms
dc.typeReport

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