Reiko Shiratori wird ohnmächtig im abgeschlossenen Hasenstall gefunden und Tento, der als Einziger den Schlüssel zu dem Stall hatte, unter dem Verdacht des versuchten Mordes festgenommen. Als Staatsanwältin übernimmt diesmal Yui Kijima, eine der "Drei Zungen" den Fall. Sie vermutet, dass sich hinter Tento außerdem auch der "Rote Teufel" verbirgt, wie Abaku, Kotaro und sie den wahren Täter im Fall der "blutigen Klassenversammlung" nennen. Aber ist der so sanft wirkende Tento zu so etwas wirklich fähig ...?
Um nach einer schrecklichen Tragödie das japanische Schulsystem vor dem sicheren Untergang zu bewahren, ruft die Regierung das "Klassenversammlungssystem" ins Leben – ein klasseninternes Gerichtsverfahren von, mit und für die Schüler. An der Tenbin-Grundschule hat sich ein schrecklicher Mordfall ereignet: Der Fisch Suzuki, das Haustier der Klasse, wurde brutal zerstückelt! Während die Schüler noch um ihren geliebten Kameraden trauern, ist schnell ein Verdächtiger gefunden. Doch nichts ist so, wie es im ersten Augenblick erscheint! Zwei neue Schüler, der Rechtsanwalt Abaku Inugami und Pine Hanzuki, die Staatsanwältin, die zur Klärung des Falls an die Grundschule entsandt wurden, suchen nach der Wahrheit und liefern sich einen erbitterten Kampf vor dem Richter. Wird es ihnen gelingen, Suzukis Mörder zu entlarven?
Abaku Inugami versucht in seinem aktuellen Fall herauszufinden, ob das Magical-Happy-Süßigkeitenpuder tatsächlich einer Droge gleichkommt. Gleichzeitig muss er das hübscheste Mädchen der Klasse verteidigen, die unter Verdacht steht, der mysteriöse "Maskenmann" zu sein, der illegal an der Schule mit dem Puder handelt. Als der Fall abgeschlossen ist, warten weitere Herausforderungen auf den begabten Rechtsanwalt und er muss sich zwei herausragenden Rivalen stellen, von denen einer Abakus unschöne Vergangenheit kennt! Der andere ist gar ein berühmter erwachsener Staatsanwalt!
This book is designed as a concise introduction to the recent achievements on spectral analysis of graphs or networks from the point of view of quantum (or non-commutative) probability theory. The main topics are spectral distributions of the adjacency matrices of finite or infinite graphs and their limit distributions for growing graphs. The main vehicle is quantum probability, an algebraic extension of the traditional probability theory, which provides a new framework for the analysis of adjacency matrices revealing their non-commutative nature. For example, the method of quantum decomposition makes it possible to study spectral distributions by means of interacting Fock spaces or equivalently by orthogonal polynomials. Various concepts of independence in quantum probability and corresponding central limit theorems are used for the asymptotic study of spectral distributions for product graphs.This book is written for researchers, teachers, and students interested in graph spectra, their (asymptotic) spectral distributions, and various ideas and methods on the basis of quantum probability. It is also useful for a quick introduction to quantum probability and for an analytic basis of orthogonal polynomials.
This is the first book to comprehensively cover quantum probabilistic approaches to spectral analysis of graphs, an approach developed by the authors. The book functions as a concise introduction to quantum probability from an algebraic aspect. Here readers will learn several powerful methods and techniques of wide applicability, recently developed under the name of quantum probability. The exercises at the end of each chapter help to deepen understanding.
White Noise Calculus is a distribution theory on Gaussian space, proposed by T. Hida in 1975. This approach enables us to use pointwise defined creation and annihilation operators as well as the well-established theory of nuclear space.This self-contained monograph presents, for the first time, a systematic introduction to operator theory on fock space by means of white noise calculus. The goal is a comprehensive account of general expansion theory of Fock space operators and its applications. In particular,first order differential operators, Laplacians, rotation group, Fourier transform and their interrelations are discussed in detail w.r.t. harmonic analysis on Gaussian space. The mathematical formalism used here is based on distribution theory and functional analysis , prior knowledge of white noise calculus is not required.
The Masked Dude has been distributing a magical powder to the children of class 6-3 to put on their boring food. The powder is so addictive that the children who are hooked get sick if they don’t eat it. Pine finds Reiko Shiratori, the school’s Madonna, at the Masked Dude’s hideout and accuses her of distributing the powder. Can Abaku ronpa Reiko out of this not-so-sweet situation? -- VIZ Media
The accused this time is a boy named Tento. His crime? The murder of a beloved member of the classroom! Luckily for him, the state has sent him a defense attorney—Abaku Inugami. But is this wild young lawyer skilled enough to ronpa his client off the hook? -- VIZ Media
This volume highlights recent developments of stochastic analysis with a wide spectrum of applications, including stochastic differential equations, stochastic geometry, and nonlinear partial differential equations. While modern stochastic analysis may appear to be an abstract mixture of classical analysis and probability theory, this book shows that, in fact, it can provide versatile tools useful in many areas of applied mathematics where the phenomena being described are random. The geometrical aspects of stochastic analysis, often regarded as the most promising for applications, are specially investigated by various contributors to the volume.
Infinite-dimensional analysis and quantum probability have undergone significant developments in the last few years and created many applications. The fourteen research papers deal with most of the current topics, and their interconnections reflect a vivid development in interacting Fock space, infinite-dimensional groups, stochastic independence, non-commutative central limit theorems, stochastic geometry, and so on. Contents: Mathematical Theory of Quantum Particles Interacting with a Quantum Field (A Arai); H-P Quantum Stochastic Differential Equations (F Fagnola); Quantum White Noise Calculus (U C Ji & N Obata); Can "Quantumness" Be an Origin of Dissipation? (T Arimitsu); What Is Stochastic Independence? (U Franz); Creation-Annihilation Processes on Cellar Complecies (Y Hashimoto); Fock Space and Representation of Some Infinite-Dimensional Groups (T Matsui & Y Shimada); Free Product Actions and Their Applications (Y Ueda); Remarks on the s-Free Convolution (H Yoshida); and other papers. Readership: Researchers and graduate students in analysis & differential equations, probability & statistics, mathematical physics and quantum physics.
In order to curb the crime running rampant in the elementary school system, a new solution has been enacted in the form of the School Judgment System. Now the young students themselves will be responsible for solving the issues that befall them. But are they up for the task? At Tenbin Elementary, there is only one way to settle a dispute—in a court of law! All disputes bypass the teachers and are settled by some of the best lawyers in the country…who also happen to be elementary school students. The accused this time is a boy named Tento. His crime? Murder of the beloved class fish Suzuki! Luckily for him, the state has sent him a defense attorney, Abaku Inugami. But is this wild young lawyer skilled enough to argue his client off the hook?
This book is the first comprehensive monograph focusing on the recent developments of quantum white noise calculus and its applications. Quantum white noise calculus is a quantum extension of the Gaussian white noise calculus and provides a useful toolbox for the analysis of operators on Boson Fock space based on an infinite dimensional distribution theory of Schwartz type. This volume starts with the famous Wiener-Ito-Segal isomorphism between the Fock space and the L2-space over a Gaussian space, and systematically constructs Gelfand triples along which white noise operators are defined. The white noise operators cover a wide class of operators on Fock space including pointwisely defined annihilation and creation operators called quantum white noise and a white noise operator is regarded as a function of quantum white noise. The main purpose of this volume is to describe the new concept of quantum white noise derivatives, a kind of functional derivative for white noise operators. This idea leads to a new type of differential equations for white noise operators with applications in stochastic analysis and quantum physics. In particular, transforms of white noise functions and operators such as Fourier-Gauss transform, Fourier-Mehler transform, Bogoliubov transform, and quantum Girsanov transform are characterized as solutions to differential equations of new type. The development of quantum white noise derivative sheds fresh light on the study of Fock space operators.
Tento once again finds himself in a tight spot when he’s accused of trying to murder the school’s Madonna, Reiko Shiratori, and locking her unconscious body in a shed. Can Abaku ronpa his friend to freedom? Meanwhile, the Red Ogre sends out a warning to Abaku, Sarutobi and Yui: discover his identity before graduation or he will murder all of their classmates again! Can Abaku solve this final mystery in time? -- VIZ Media
White Noise Calculus is a distribution theory on Gaussian space, proposed by T. Hida in 1975. This approach enables us to use pointwise defined creation and annihilation operators as well as the well-established theory of nuclear space.This self-contained monograph presents, for the first time, a systematic introduction to operator theory on fock space by means of white noise calculus. The goal is a comprehensive account of general expansion theory of Fock space operators and its applications. In particular,first order differential operators, Laplacians, rotation group, Fourier transform and their interrelations are discussed in detail w.r.t. harmonic analysis on Gaussian space. The mathematical formalism used here is based on distribution theory and functional analysis , prior knowledge of white noise calculus is not required.
This volume highlights recent developments of stochastic analysis with a wide spectrum of applications, including stochastic differential equations, stochastic geometry, and nonlinear partial differential equations.While modern stochastic analysis may appear to be an abstract mixture of classical analysis and probability theory, this book shows that, in fact, it can provide versatile tools useful in many areas of applied mathematics where the phenomena being described are random. The geometrical aspects of stochastic analysis, often regarded as the most promising for applications, are specially investigated by various contributors to the volume.
This is the first book to comprehensively cover quantum probabilistic approaches to spectral analysis of graphs, an approach developed by the authors. The book functions as a concise introduction to quantum probability from an algebraic aspect. Here readers will learn several powerful methods and techniques of wide applicability, recently developed under the name of quantum probability. The exercises at the end of each chapter help to deepen understanding.
This book is designed as a concise introduction to the recent achievements on spectral analysis of graphs or networks from the point of view of quantum (or non-commutative) probability theory. The main topics are spectral distributions of the adjacency matrices of finite or infinite graphs and their limit distributions for growing graphs. The main vehicle is quantum probability, an algebraic extension of the traditional probability theory, which provides a new framework for the analysis of adjacency matrices revealing their non-commutative nature. For example, the method of quantum decomposition makes it possible to study spectral distributions by means of interacting Fock spaces or equivalently by orthogonal polynomials. Various concepts of independence in quantum probability and corresponding central limit theorems are used for the asymptotic study of spectral distributions for product graphs.This book is written for researchers, teachers, and students interested in graph spectra, their (asymptotic) spectral distributions, and various ideas and methods on the basis of quantum probability. It is also useful for a quick introduction to quantum probability and for an analytic basis of orthogonal polynomials.
Infinite-dimensional analysis and quantum probability have undergone significant developments in the last few years and created many applications. This volume includes four expository articles on recent developments in quantum field theory, quantum stochastic differential equations, free probability and quantum white noise calculus, which are targeted also for graduate study. The fourteen research papers deal with most of the current topics, and their interconnections reflect a vivid development in interacting Fock space, infinite-dimensional groups, stochastic independence, non-commutative central limit theorems, stochastic geometry, and so on.
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