StudentsEducators

Terahertz Spectroscopy

Terahertz Spectroscopy (THz-Spektroskopie) ist eine leistungsstarke analytische Technik, die elektromagnetische Strahlung im Terahertz-Bereich (0,1 bis 10 THz) nutzt, um die Eigenschaften von Materialien zu untersuchen. Diese Methode ermöglicht die Analyse von molekularen Schwingungen, Rotationen und anderen dynamischen Prozessen in einer Vielzahl von Substanzen, einschließlich biologischer Proben, Polymere und Halbleiter. Ein wesentlicher Vorteil der THz-Spektroskopie ist, dass sie nicht-invasive Messungen ermöglicht, was sie ideal für die Untersuchung empfindlicher Materialien macht.

Die Technik beruht auf der Wechselwirkung von Terahertz-Wellen mit Materie, wobei Informationen über die chemische Zusammensetzung und Struktur gewonnen werden. In der Praxis wird oft eine Zeitbereichs-Terahertz-Spektroskopie (TDS) eingesetzt, bei der Pulse von Terahertz-Strahlung erzeugt und die zeitliche Verzögerung ihrer Reflexion oder Transmission gemessen werden. Diese Methode hat Anwendungen in der Materialforschung, der Biomedizin und der Sicherheitsüberprüfung, wobei sie sowohl qualitative als auch quantitative Analysen ermöglicht.

Other related terms

contact us

Let's get started

Start your personalized study experience with acemate today. Sign up for free and find summaries and mock exams for your university.

logoTurn your courses into an interactive learning experience.
Antong Yin

Antong Yin

Co-Founder & CEO

Jan Tiegges

Jan Tiegges

Co-Founder & CTO

Paul Herman

Paul Herman

Co-Founder & CPO

© 2025 acemate UG (haftungsbeschränkt)  |   Terms and Conditions  |   Privacy Policy  |   Imprint  |   Careers   |  
iconlogo
Log in

Clausius Theorem

The Clausius Theorem is a fundamental principle in thermodynamics, specifically relating to the second law of thermodynamics. It states that the change in entropy ΔS\Delta SΔS of a closed system is greater than or equal to the heat transferred QQQ divided by the temperature TTT at which the transfer occurs. Mathematically, this can be expressed as:

ΔS≥QT\Delta S \geq \frac{Q}{T}ΔS≥TQ​

This theorem highlights the concept that in any real process, the total entropy of an isolated system will either increase or remain constant, but never decrease. This implies that energy transformations are not 100% efficient, as some energy is always converted into a less useful form, typically heat. The Clausius Theorem underscores the directionality of thermodynamic processes and the irreversibility that is characteristic of natural phenomena.

Edgeworth Box

The Edgeworth Box is a fundamental concept in microeconomic theory, particularly in the study of general equilibrium and welfare economics. It visually represents the distribution of resources and preferences between two consumers, typically labeled as Consumer A and Consumer B, within a defined set of goods. The dimensions of the box correspond to the total amounts of two goods, XXX and YYY. The box allows economists to illustrate Pareto efficiency, where no individual can be made better off without making another worse off, through the use of indifference curves for each consumer.

The corner points of the box represent the extreme allocations where one consumer receives all of one good and none of the other. The contract curve within the box shows all the Pareto-efficient allocations, indicating the combinations of goods that can be traded between the consumers to reach a mutually beneficial outcome. Overall, the Edgeworth Box serves as a powerful tool to analyze and visualize the effects of trade and resource allocation in an economy.

Supercapacitor Charge Storage

Supercapacitors, also known as ultracapacitors, are energy storage devices that bridge the gap between conventional capacitors and batteries. They store energy through the electrostatic separation of charges, utilizing a large surface area of porous electrodes and an electrolyte solution. The key advantage of supercapacitors is their ability to charge and discharge rapidly, making them ideal for applications requiring quick bursts of energy. Unlike batteries, which rely on chemical reactions, supercapacitors store energy in an electric field, resulting in a longer cycle life and better performance at high power densities. Their energy storage capacity is typically measured in farads (F), and they can achieve energy densities ranging from 5 to 10 Wh/kg, making them suitable for applications like regenerative braking in electric vehicles and power backup systems in electronics.

Hahn-Banach Separation Theorem

The Hahn-Banach Separation Theorem is a fundamental result in functional analysis that deals with the separation of convex sets in a vector space. It states that if you have two disjoint convex sets AAA and BBB in a real or complex vector space, then there exists a continuous linear functional fff and a constant ccc such that:

f(a)≤c<f(b)∀a∈A, ∀b∈B.f(a) \leq c < f(b) \quad \forall a \in A, \, \forall b \in B.f(a)≤c<f(b)∀a∈A,∀b∈B.

This theorem is crucial because it provides a method to separate different sets using hyperplanes, which is useful in optimization and economic theory, particularly in duality and game theory. The theorem relies on the properties of convexity and the linearity of functionals, highlighting the relationship between geometry and analysis. In applications, the Hahn-Banach theorem can be used to extend functionals while maintaining their properties, making it a key tool in many areas of mathematics and economics.

Describing Function Analysis

Describing Function Analysis (DFA) is a powerful tool used in control engineering to analyze nonlinear systems. This method approximates the nonlinear behavior of a system by representing it in terms of its frequency response to sinusoidal inputs. The core idea is to derive a describing function, which is essentially a mathematical function that characterizes the output of a nonlinear element when subjected to a sinusoidal input.

The describing function N(A)N(A)N(A) is defined as the ratio of the output amplitude YYY to the input amplitude AAA for a given frequency ω\omegaω:

N(A)=YAN(A) = \frac{Y}{A}N(A)=AY​

This approach allows engineers to use linear control techniques to predict the behavior of nonlinear systems in the frequency domain. DFA is particularly useful for stability analysis, as it helps in determining the conditions under which a nonlinear system will remain stable or become unstable. However, it is important to note that DFA is an approximation, and its accuracy depends on the characteristics of the nonlinearity being analyzed.

Von Neumann Utility

The Von Neumann Utility theory, developed by John von Neumann and Oskar Morgenstern, is a foundational concept in decision theory and economics that pertains to how individuals make choices under uncertainty. At its core, the theory posits that individuals can assign a numerical value, or utility, to different outcomes based on their preferences. This utility can be represented as a function U(x)U(x)U(x), where xxx denotes different possible outcomes.

Key aspects of Von Neumann Utility include:

  • Expected Utility: Individuals evaluate risky choices by calculating the expected utility, which is the weighted average of utility outcomes, given their probabilities.
  • Rational Choice: The theory assumes that individuals are rational, meaning they will always choose the option that maximizes their expected utility.
  • Independence Axiom: This principle states that if a person prefers option A to option B, they should still prefer a lottery that offers A with a certain probability over a lottery that offers B, provided the structure of the lotteries is the same.

This framework allows for a structured analysis of preferences and choices, making it a crucial tool in both economic theory and behavioral economics.