Basic theorems of distributions and Fourier transforms

dc.contributor.authorLong, Naen_US
dc.date.accessioned2014-11-21T22:24:06Z
dc.date.available2014-11-21T22:24:06Z
dc.date.graduationmonthDecemberen_US
dc.date.issued2014-11-21
dc.date.published2014en_US
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.en_US
dc.description.advisorMarianne Kortenen_US
dc.description.degreeMaster of Scienceen_US
dc.description.departmentDepartment of Mathematicsen_US
dc.description.levelMastersen_US
dc.identifier.urihttp://hdl.handle.net/2097/18731
dc.language.isoen_USen_US
dc.publisherKansas State Universityen
dc.subjectDistributionsen_US
dc.subjectFourier Transformen_US
dc.subject.umiMathematics (0405)en_US
dc.titleBasic theorems of distributions and Fourier transformsen_US
dc.typeReporten_US

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