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Record Nr. |
UNINA9910451505203321 |
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Autore |
Austin Michael W |
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Titolo |
Conceptions of parenthood [[electronic resource] ] : ethics and the family / / Michael W. Austin |
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Pubbl/distr/stampa |
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Aldershot, England ; ; Burlington, VT, : Ashgate, c2007 |
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ISBN |
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1-317-16252-8 |
1-317-16251-X |
1-281-09951-1 |
9786611099510 |
0-7546-8703-1 |
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Descrizione fisica |
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1 online resource (147 p.) |
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Collana |
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Ashgate studies in applied ethics |
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Disciplina |
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Soggetti |
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Parenting |
Child rearing |
Child rearing - Moral and ethical aspects |
Children - Family relationships |
Electronic books. |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Note generali |
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Description based upon print version of record. |
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Nota di bibliografia |
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Includes bibliographical references (p. [129]-135) and index. |
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Nota di contenuto |
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Philosophy and the family -- Unsuccessful conceptions of parenthood -- Successful conceptions of parenthood -- Stewardship and parental rights -- Stewardship and parental obligations. |
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Sommario/riassunto |
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In Conceptions of Parenthood Michael Austin provides a rigorous and accessible philosophical analysis of the numerous and distinct conceptions of parenthood. Austin rejects the 'proprietarian', 'best interests of the child', and 'biological' conceptions of parenthood as failing to generate parental rights and obligations but considers more sympathetically the 'custodial relationship', 'consent', and 'causal' conceptions of parenthood and ultimately defends a 'stewardship' conception. |
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2. |
Record Nr. |
UNINA9910409990403321 |
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Autore |
Cufaro Petroni Nicola |
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Titolo |
Probability and Stochastic Processes for Physicists / / by Nicola Cufaro Petroni |
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Pubbl/distr/stampa |
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Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020 |
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ISBN |
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Edizione |
[1st ed. 2020.] |
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Descrizione fisica |
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1 online resource (xiii, 373 pages) : illustrations |
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Collana |
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UNITEXT for Physics, , 2198-7882 |
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Disciplina |
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Soggetti |
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Physics |
Probabilities |
Mathematical physics |
Dynamics |
Ergodic theory |
Vibration |
Quantum theory |
Mathematical Methods in Physics |
Probability Theory and Stochastic Processes |
Theoretical, Mathematical and Computational Physics |
Dynamical Systems and Ergodic Theory |
Vibration, Dynamical Systems, Control |
Quantum Physics |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Nota di contenuto |
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Part 1: Probability -- Chapter 1. Probability spaces -- Chapter 2. Distributions -- Chapter 3. Random variables -- Chapter 4. Limit theorems -- Part 2: Stochastic Processes -- Chapter 5. General notions -- Chapter 6. Heuristic definitions -- Chapter 7. Markovianity -- Chapter 8. An outline of stochastic calculus -- Part 3: Physical modeling -- Chapter 9. Dynamical theory of Brownian motion -- Chapter 10. Stochastic mechanics -- Part 4: Appendices -- A Consistency (Sect. 2.3.4) -- B Inequalities (Sect. 3.3.2) -- C Bertrand’s paradox (Sect. 3.5.1) -- D Lp spaces of rv’s (Sect. 4.1) -- E Moments |
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and cumulants (Sect. 4.2.1) -- F Binomial limit theorems (Sect. 4.3) -- G Non uniform point processes (Sect 6.1.1) -- H Stochastic calculus paradoxes (Sect. 6.4.2) -- I Pseudo-Markovian processes (Sect. 7.1.2) -- J Fractional Brownian motion (Sect. 7.1.10) -- K Ornstein-Uhlenbeck equations (Sect. 7.2.4) -- L Stratonovich integral (Sect. 8.2.2) -- M Stochastic bridges (Sect. 10.2) -- N Kinematics of Gaussian diffusions (Sect. 10.3.1) -- O Substantial operators (Sect. 10.3.3) -- P Constant diffusion coefficients (Sect. 10.4). |
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Sommario/riassunto |
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This book seeks to bridge the gap between the parlance, the models, and even the notations used by physicists and those used by mathematicians when it comes to the topic of probability and stochastic processes. The opening four chapters elucidate the basic concepts of probability, including probability spaces and measures, random variables, and limit theorems. Here, the focus is mainly on models and ideas rather than the mathematical tools. The discussion of limit theorems serves as a gateway to extensive coverage of the theory of stochastic processes, including, for example, stationarity and ergodicity, Poisson and Wiener processes and their trajectories, other Markov processes, jump-diffusion processes, stochastic calculus, and stochastic differential equations. All these conceptual tools then converge in a dynamical theory of Brownian motion that compares the Einstein–Smoluchowski and Ornstein–Uhlenbeck approaches, highlighting the most important ideas that finally led to a connection between the Schrödinger equation and diffusion processes along the lines of Nelson’s stochastic mechanics. A series of appendices cover particular details and calculations, and offer concise treatments of particular thought-provoking topics. |
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