Choose an application

• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

"The brilliant and influential statesman, Itō Hirobumi (1841-1909), and the first prime minister of Japan's modern state, has been poorly understood. This biography attempts to set the record straight about Itō's thought and vision for Japan's modernisation based on research in primary sources. It outlines Itō's life: the son of a poor farmer, he showed exceptional talent as a boy and was sent to study in Europe and the United States. He returned home convinced that Western civilisation was the only viable path for Japan. Following the Meiji Restoration of 1868, Ito became a powerful intellectual and political force behind reforms of Japanese laws and institutions aimed to shape a modern government based on informed leadership and a knowledeable populace. Among his many achievements were the establishment of Japan's first constitution--the Meiji Constitution of 1889, and the founding in 1900 of a new type of constitutional party, the Rikken Seiyukai (Friends of Constitutional Government), which, reformulated after 1945, became the Liberal Democratic Party that has dominated Japanese politics in the postwar period. Concerning Itō's role as Japanese Resident-General in Korea from 1905, the author argues that Ito's aim, not understood by either the Japanese home government or Koreans themselves, was not to colonize Korea. He was determined to modernise Korea and consolidate further constitutional reforms in Japan. This aim was not shared by others, and Itō resigned in 1909. He was assassinated the same year in Manchuria by a Korean nationalist. The Japanese language edition of this book is a bestseller in Japan, and it received the Suntory Prize for Social Sciences and Humanities, one of Japan's most prestigious publishing awards"--

Statesmen --- Prime ministers --- Constitutional history --- Itō, Hirobumi, --- Political and social views. --- Japan --- Politics and government

Choose an application

• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

This book discusses some aspects of the theory of partial differential equations from the viewpoint of probability theory. It is intended not only for specialists in partial differential equations or probability theory but also for specialists in asymptotic methods and in functional analysis. It is also of interest to physicists who use functional integrals in their research. The work contains results that have not previously appeared in book form, including research contributions of the author.

Partial differential equations --- Differential equations, Partial. --- Probabilities. --- Integration, Functional. --- Functional integration --- Functional analysis --- Integrals, Generalized --- Probability --- Statistical inference --- Combinations --- Mathematics --- Chance --- Least squares --- Mathematical statistics --- Risk --- A priori estimate. --- Absolute continuity. --- Almost surely. --- Analytic continuation. --- Axiom. --- Big O notation. --- Boundary (topology). --- Boundary value problem. --- Bounded function. --- Calculation. --- Cauchy problem. --- Central limit theorem. --- Characteristic function (probability theory). --- Chebyshev's inequality. --- Coefficient. --- Comparison theorem. --- Continuous function (set theory). --- Continuous function. --- Convergence of random variables. --- Cylinder set. --- Degeneracy (mathematics). --- Derivative. --- Differential equation. --- Differential operator. --- Diffusion equation. --- Diffusion process. --- Dimension (vector space). --- Direct method in the calculus of variations. --- Dirichlet boundary condition. --- Dirichlet problem. --- Eigenfunction. --- Eigenvalues and eigenvectors. --- Elliptic operator. --- Elliptic partial differential equation. --- Equation. --- Existence theorem. --- Exponential function. --- Feynman–Kac formula. --- Fokker–Planck equation. --- Function space. --- Functional analysis. --- Fundamental solution. --- Gaussian measure. --- Girsanov theorem. --- Hessian matrix. --- Hölder condition. --- Independence (probability theory). --- Integral curve. --- Integral equation. --- Invariant measure. --- Iterated logarithm. --- Itô's lemma. --- Joint probability distribution. --- Laplace operator. --- Laplace's equation. --- Lebesgue measure. --- Limit (mathematics). --- Limit cycle. --- Limit point. --- Linear differential equation. --- Linear map. --- Lipschitz continuity. --- Markov chain. --- Markov process. --- Markov property. --- Maximum principle. --- Mean value theorem. --- Measure (mathematics). --- Modulus of continuity. --- Moment (mathematics). --- Monotonic function. --- Navier–Stokes equations. --- Nonlinear system. --- Ordinary differential equation. --- Parameter. --- Partial differential equation. --- Periodic function. --- Poisson kernel. --- Probabilistic method. --- Probability space. --- Probability theory. --- Probability. --- Random function. --- Regularization (mathematics). --- Schrödinger equation. --- Self-adjoint operator. --- Sign (mathematics). --- Simultaneous equations. --- Smoothness. --- State-space representation. --- Stochastic calculus. --- Stochastic differential equation. --- Stochastic. --- Support (mathematics). --- Theorem. --- Theory. --- Uniqueness theorem. --- Variable (mathematics). --- Weak convergence (Hilbert space). --- Wiener process.