Thick set
A "thick set" usually refers to a group of people or objects that are particularly stout, broad, or robust in appearance. The term can apply to various contexts, including descriptions of physical build in athletes, animals, or even objects that have a substantial or dense composition. In a different context, "thickset" can also refer to something that is densely packed or closely arranged, such as vegetation in a forest or a collection of materials.
Reflectometric Interference Spectroscopy (RIfS) is an optical technique used for measuring thin films and surfaces, particularly in the fields of materials science, photonics, and biology. The method is based on the interference of light waves reflected from different layers of a sample, which can include thin films, coatings, or biological materials.
Markov operator
A **Markov operator** is a mathematical construct that is used primarily in the context of Markov processes, which are stochastic processes characterized by their memoryless property. In simple terms, a Markov operator is a linear operator that describes the evolution of probability distributions over states in a Markov chain or Markov process.
Maximal ergodic theorem
The Maximal Ergodic Theorem is a result in ergodic theory, which is a branch of mathematics that studies dynamical systems with an invariant measure and related problems. The theorem addresses the behavior of certain sequences of averages associated with dynamical systems, particularly those involving the action of a measure-preserving transformation.
Mixing (mathematics)
In mathematics, "mixing" generally refers to a concept in dynamical systems and, more specifically, in the study of chaotic systems and ergodic theory. It's a property that describes how a system evolves over time and the way its states become more uniformly distributed across the system's state space.
Oseledets theorem
Oseledets theorem, also known as the multiplicative ergodic theorem, is a fundamental result in the field of dynamical systems and ergodic theory. It provides a framework for understanding the asymptotic behavior of linear systems defined by iterating a linear operator.
Quantum ergodicity
Quantum ergodicity is a concept that arises in the context of quantum mechanics and dynamical systems, particularly in the study of quantum systems that exhibit chaotic behavior. It relates to the long-term statistical properties of quantum states and how they evolve over time. In classical mechanics, the notion of ergodicity refers to the idea that a system, over a long period, will explore its available phase space in such a way that the time average of a property is equal to the ensemble average.
Rice's formula
Rice's Formula is a result in probability theory and statistics that provides a way to compute the expected number of zeros of a random function or, more generally, the expected number of level crossings of a stochastic process. Specifically, it is often used in the context of Gaussian processes. The formula is particularly relevant in fields like signal processing, communications, and statistical mechanics.
Rokhlin lemma
The Rokhlin lemma is a result in measure theory and ergodic theory, particularly related to the study of measurable functions and measurable sets. It is often applied within the context of dynamical systems and is named after the Russian mathematician V. A. Rokhlin.
S. G. Dani
S.G. Dani typically refers to a prominent figure in the field of statistics or academic research, particularly in India. S.G. Dani has made significant contributions to topics such as statistical theory, stochastic processes, or related areas. However, without specific context or additional information, it's challenging to provide a detailed description or relevance. If you meant something different by "S. G.
Sinai–Ruelle–Bowen measure
The Sinai–Ruelle–Bowen (SRB) measure is a key concept in the study of dynamical systems, particularly in the context of chaotic systems and statistical mechanics. Named after Ya. G. Sinaï, David Ruelle, and Rufus Bowen, the SRB measure provides a way to describe the long-term statistical behavior of a system that exhibits chaotic dynamics.
Bruno Buchberger
Bruno Buchberger is an Austrian mathematician and computer scientist, known primarily for his contributions to the field of computational mathematics and computer algebra. He is particularly recognized for developing the Gröbner basis theory, which is fundamental in solving systems of polynomial equations and has applications in various areas such as algebraic geometry, robotics, and coding theory.
Burchard de Volder
Burchard de Volder refers to a prominent figure in the field of astronomy and mathematics during the 17th century. He was a Dutch mathematician and astronomer associated with the University of Amsterdam, where he made contributions to the scientific community, including work on optics and the study of celestial bodies.
Conrad Habicht
Conrad Habicht can refer to different things, but it’s often associated with historical figures or specific ventures. One notable reference is to **Conrad Habicht (1860–1933)**, who was a physicist primarily remembered for his contributions to the early development of quantum mechanics. He was associated with various scientific endeavors and collaborations during his time.
Renner–Teller effect
The Renner-Teller effect is a phenomenon in molecular physics and spectroscopy that occurs in polyatomic molecules with degenerate electronic states. It is a blending of the Renner effect and the Teller effect, which describe how molecular vibrations and electronic states interact, leading to splitting of energy levels. Specifically, the Renner-Teller effect is most notable in systems where the degeneracy of electronic states is lifted due to coupling between electronic and vibrational states.
N. G. W. H. Beeger
N. G. W. H. Beeger does not appear to be a widely recognized term, name, or acronym as of my last knowledge update in October 2021. It is possible that it could refer to a specific individual, organization, or concept that has gained relevance after that date or may not be widely documented.
Neža Mramor–Kosta
Neža Mramor-Kosta is a notable figure, most likely known for her work or contributions in a specific field. However, as of my last update in October 2023, there is limited publicly available information about her. It's possible that she is a professional in areas such as academia, science, art, or another field that has reached a level of recognition.
Olav Reiersøl
Olav Reiersøl (1904–1995) was a Norwegian mathematician known for his contributions to statistics and probability theory. He had a significant impact on the field, particularly in the areas of statistical inference and the mathematical foundations of statistics. Reiersøl's work helped lay the groundwork for modern techniques in statistical analysis and was influential in both theoretical and applied statistics.
Paul Guldin
Paul Guldin (also known as Paul Guldin or Paul Guldin the Elder) was a notable figure in the field of mathematics during the 16th and 17th centuries. He is best known for his work related to geometric concepts, particularly in relation to volumes of solids of revolution. Guldin's work laid the groundwork for further developments in calculus and mathematical analysis.
Pedro Filipe Soares
Pedro Filipe Soares is a Portuguese politician and a prominent member of the Left Bloc (Bloco de Esquerda), a political party in Portugal. He has served in various capacities within the party and is known for his focus on social justice, progressive policies, and economic reforms. He has been active in Portuguese politics, contributing to debates on issues such as labor rights, public services, and environmental policies.