TY - BOOK AU - Lorenz,Thomas ED - SpringerLink (Online service) TI - Mutational Analysis: A Joint Framework for Cauchy Problems in and Beyond Vector Spaces T2 - Lecture Notes in Mathematics, SN - 9783642124716 AV - QA299.6-433 U1 - 515 23 PY - 2010/// CY - Berlin, Heidelberg PB - Springer Berlin Heidelberg KW - Mathematics KW - Global analysis (Mathematics) KW - Differentiable dynamical systems KW - Differential Equations KW - Differential equations, partial KW - Biology KW - Systems theory KW - Analysis KW - Dynamical Systems and Ergodic Theory KW - Ordinary Differential Equations KW - Partial Differential Equations KW - Systems Theory, Control KW - Mathematical Biology in General N1 - Extending Ordinary Differential Equations to Metric Spaces: Aubin’s Suggestion -- Adapting Mutational Equations to Examples in Vector Spaces: Local Parameters of Continuity -- Less Restrictive Conditions on Distance Functions: Continuity Instead of Triangle Inequality -- Introducing Distribution-Like Solutions to Mutational Equations -- Mutational Inclusions in Metric Spaces N2 - Ordinary differential equations play a central role in science and have been extended to evolution equations in Banach spaces. For many applications, however, it is difficult to specify a suitable normed vector space. Shapes without a priori restrictions, for example, do not have an obvious linear structure. This book generalizes ordinary differential equations beyond the borders of vector spaces with a focus on the well-posed Cauchy problem in finite time intervals. Here are some of the examples: - Feedback evolutions of compact subsets of the Euclidean space - Birth-and-growth processes of random sets (not necessarily convex) - Semilinear evolution equations - Nonlocal parabolic differential equations - Nonlinear transport equations for Radon measures - A structured population model - Stochastic differential equations with nonlocal sample dependence and how they can be coupled in systems immediately - due to the joint framework of Mutational Analysis. Finally, the book offers new tools for modelling UR - http://148.231.10.114:2048/login?url=http://link.springer.com/book/10.1007/978-3-642-12471-6 ER -