Divergence Theorem and Sets of Finite Perimeter

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A01=Washek F. Pfeffer
Admissible Vector Fields
advanced mathematical analysis
Age Group_Uncategorized
Age Group_Uncategorized
Author_Washek F. Pfeffer
automatic-update
Bernstein Function
Borel Measure
Borel Set
bounded variation analysis
Bounded Vector Fields
BV Function
Bv Functions
Category1=Non-Fiction
Category=PBKF
Category=PBKJ
Category=PBW
Category=PHU
Closed Subset
coarea theorem
Compact Set
Continuous Linear Map
Continuous Vector Fields
COP=United States
Delivery_Pre-order
Dyadic Cubes
Dyadic Figures
eq_bestseller
eq_isMigrated=2
eq_nobargain
eq_non-fiction
eq_science
Extended Real Number
Finite Perimeter
flux of continuous vector field
geometric measure theory
Hausdorff Measures
Holomorphic Function
Language_English
Lebesgue integration
Linear Space
Lipschitz Map
Locally Convex Space
Minimal Surface Equation
Negligible Set
Open Set
PA=Temporarily unavailable
Price_€100 and above
PS=Active
removable singularities
Sets Of Finite Perimeter
Singular Set
softlaunch
Strong Topology
The Divergence Theroem
Topological Space
Vector Field
Weak Solution

Product details

  • ISBN 9781466507197
  • Weight: 521g
  • Dimensions: 156 x 234mm
  • Publication Date: 12 Apr 2012
  • Publisher: Taylor & Francis Inc
  • Publication City/Country: US
  • Product Form: Hardback
  • Language: English
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This book is devoted to a detailed development of the divergence theorem. The framework is that of Lebesgue integration — no generalized Riemann integrals of Henstock–Kurzweil variety are involved.

In Part I the divergence theorem is established by a combinatorial argument involving dyadic cubes. Only elementary properties of the Lebesgue integral and Hausdorff measures are used. The resulting integration by parts is sufficiently general for many applications. As an example, it is applied to removable singularities of Cauchy–Riemann, Laplace, and minimal surface equations.

The sets of finite perimeter are introduced in Part II. Both the geometric and analytic points of view are presented. The equivalence of these viewpoints is obtained via the functions of bounded variation. These functions are studied in a self-contained manner with no references to Sobolev’s spaces. The coarea theorem provides a link between the sets of finite perimeter and functions of bounded variation.

The general divergence theorem for bounded vector fields is proved in Part III. The proof consists of adapting the combinatorial argument of Part I to sets of finite perimeter. The unbounded vector fields and mean divergence are also discussed. The final chapter contains a characterization of the distributions that are equal to the flux of a continuous vector field.

Pfeffer, Washek F.

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