Uncertainty and economic growth in a stochastic R&D model

The paper examines an R&D model with uncertainty from the population growth, which is a stochastic cooperative Lotka-Volterra system, and obtains a suciently condition for the existence of the globally positive solution. The long-run growth rate of the economic system is ultimately bounded in mean and fluctuation of its growth will not be faster than the polynomial growth. When uncertainty of the population growth, in comparison with its expectation, is suciently large, the growth rate of the technological progress andthe capital accumulation will converge to zero. Inversely, when uncertainty of the population growth is suciently small or its expected growth rate is suciently high, the economic growth rate will not decay faster than the polyno-mial speed. The paper explicitly computes the sample average of the growth rates of both the technology and the capital accumulation in time and compares them with their counterparts in the corresponding deterministic model

Almost sure exponential stability of the Euler–Maruyama approximations for stochastic functional differential equations

By the continuous and discrete nonnegative semimartingale convergence theorems, this paper investigates conditions under which the Euler–Maruyama (EM) approximations of stochastic functional differential equations (SFDEs) can share the almost sure exponential stability of the exact solution. Moreover, for sufficiently small stepsize, the decay rate as measured by the Lyapunov exponent can be reproduced arbitrarily accurately

Numerical solutions of neutral stochastic functional differential equations

This paper examines the numerical solutions of neutral stochastic functional differential equations (NSFDEs) $d[x(t)-u(x_t)]=f(x_t)dt+g(x_t)dw(t)$, $t\geq 0$. The key contribution is to establish the strong mean square convergence theory of the Euler-Maruyama approximate solution under the local Lipschitz condition, the linear growth condition, and contractive mapping. These conditions are generally imposed to guarantee the existence and uniqueness of the true solution, so the numerical results given here are obtained under quite general conditions. Although the way of analysis borrows from [X. Mao, LMS J. Comput. Math., 6 (2003), pp. 141-161], to cope with $u(x_t)$, several new techniques have been developed

Indigenous Cultural Influenced Change Management

Organization X is one of nine Indigenous post-secondary institutions in Ontario. For over 25 years the organization has been operating on funding from partnership and grant proposals that is renewed on a yearly basis. In 2017, Ontario recognized Indigenous Institutes as the “third pillar” of Ontario’s post-secondary landscape which is to be implemented through the Indigenous Advanced Education and Skills Council (IAESC) who provides the quality assurance framework for Indigenous institutions. This Organization Improvement Plan (OIP) explores the problem of linking Indigenous and western ideologies and epistemologies within a change management plan to successfully implement this change. The plan considers two different leadership approaches, adaptive and transformational, that can be used by change leaders to identify and support Indigenous people and stakeholders through this time of transition. Further, this OIP will provide recommendations for a change management plan that recognizes the diversity of the organization but also the uniqueness of being an Indigenous post-secondary institution. The overall goal is to discover how Indigenous culture, traditions and knowledge can support western theories of change management to achieve the desired future end state for the organization. If implemented, this solution would provide Organization X with a solid structure and organizational culture that supports their mission of becoming a world leader in Indigenous education

Executive and Retrospective Memory Processes in Preschoolers’ Prospective Memory Development

Prospective memory (PM), the ability to remember to carry out future intentions, is critical for children’s daily functioning. The Executive Framework of PM Development predicts that executive function should drive young children’s PM development once a sufficient level of retrospective memory has developed. In two studies, we investigated the predictors of PM development in 3- to 6-year-old children using behavioural and parent-reported measures. Neither retrospective memory nor executive function predicted children’s behavioural PM in Study 1. Retrospective memory significantly predicted parent-reported PM in Study 2. Across both studies, executive function consistently predicted parent-reported PM regardless of the method of measurement. Parent-report and behavioural measures may tap into different aspects of PM, but both retrospective memory and executive processes are important to PM development in early childhood

ミャンマーの古代湖・インレー湖における固有淡水魚類の起源

京都大学新制・課程博士博士(理学)甲第24456号理博第4955号新制||理||1707(附属図書館)京都大学大学院理学研究科生物科学専攻(主査)准教授 渡辺 勝敏, 教授 曽田 貞滋, 教授 中務 真人学位規則第4条第1項該当Doctor of ScienceKyoto UniversityDGA