Symbolic Domain Decomposition

Decomposing the domain of a function into parts has many uses in mathematics. A domain may naturally be a union of pieces, a function may be defined by cases, or different boundary conditions may hold on different regions. For any particular problem the domain can be given explicitly, but when dealing with a family of problems given in terms of symbolic parameters, matters become more difficult. This article shows how hybrid sets, that is multisets allowing negative multiplicity, may be used to express symbolic domain decompositions in an efficient, elegant and uniform way, simplifying both computation and reasoning. We apply this theory to the arithmetic of piecewise functions and symbolic matrices and show how certain operations may be reduced from exponential to linear complexity.

• Type: Conference
• Year: 2010
• Where: AISC
• Authors: Jacques Carette, Alan P. Sexton, Volker Sorge, Stephen M. Watt
• Keywords: AISC 2010, Artificial Intelligence, Different Boundary Conditions, Symbolic Domain Decompositions, Symbolic Parameters