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Garnett W. Bryant co-investigated tunable optical resonances in gold nanorings. Numerical calculations reproduced the wavelength shifts caused by changing ring geometry, connecting measured spectra with coupled surface modes.[ref]
F. J. Garcia de Abajo co-developed the optical interpretation of gold nanorings. Coupling of dipolar modes on the inner and outer surfaces explained the measured geometry-dependent redshift of their localized surface plasmon resonance.[ref]
Optical Properties of Gold Nanorings by Javier Aizpurua and others. Byline and optical-mode interpretation
M. Kall co-investigated gold nanorings whose plasmon resonance shifts with wall-thickness-to-radius ratio. The joint experiment and calculation explained this tuning through coupled modes at the inner and outer ring surfaces.[ref]
Adel Bilal developed a detailed field-theoretic account of quantum anomalies. His lectures derive the chiral anomaly through changes of the functional measure and triangle diagrams, then relate gauge anomalies to nonconservation and consistency conditions.[ref]
Lectures on Anomalies by Adel Bilal. Abstract and anomaly derivations, consistency conditions and cancellation
An anomaly is not simply an inaccurate approximation: a symmetry of the classical description may fail after quantization. In a gauge theory, the relevant cancellation conditions constrain the allowed particle representations. This connects explicit diagram calculations with structural restrictions on a quantum field theory.
Oliver Penrose, with Lars Onsager, generalized Bose-Einstein condensation to interacting particles using the one-particle reduced density matrix. With its trace normalized to particle number , condensation occurs when its largest eigenvalue grows proportionally to , rather than remaining microscopic.[ref]
Bose-Einstein Condensation and Liquid Helium by Oliver Penrose and Lars Onsager. Abstract and definition of condensation for interacting particles
This defines macroscopic occupation without first assuming that an interacting liquid behaves like an ideal gas in a particular momentum state. The condensate fraction also need not equal the superfluid fraction: coherence and superfluid response are related physical questions, but not interchangeable numerical definitions.
Otto Rössler introduced a simple continuous-time model of deterministic chaos in 1976. The Rössler system is commonly writtenOnly the product is nonlinear. Nevertheless, suitable parameters produce the folding and stretching associated with the Rössler attractor.[ref]
An equation for continuous chaos by Otto Rössler. Original three-equation model and folded return-map interpretation
Celso Grebogi investigated strange nonchaotic attractors with Edward Ott, Steven Pelikan and James A. Yorke. Their 1984 construction separated geometrical irregularity from exponentially growing trajectory differences.[ref]
Strange attractors that are not chaotic by Celso Grebogi and others. Examples and proof of transverse contraction
A quasiperiodically driven map can develop increasingly fine structure while retaining a negative transverse Lyapunov exponent. The neutral drive direction must be distinguished from that transverse response. This provides a concrete counterexample to identifying every fractal-looking attractor with chaos.
Edward Ott helped show that an attractor's geometry and its sensitivity to perturbations are separate properties. With Celso Grebogi, Steven Pelikan and James A. Yorke, he constructed examples of strange nonchaotic attractors in 1984.[ref]
The attractor can have an irregular, fractal structure without a positive Lyapunov exponent indicating exponential separation. In the quasiperiodically driven construction, the drive has a neutral direction while transverse contraction can remain negative. Visual complexity therefore does not by itself establish dynamical chaos.
Mitchell Feigenbaum discovered quantitative universality in period-doubling sequences of nonlinear maps. For a class of smooth maps with a quadratic maximum, successive parameter intervals shrink with a limiting ratio near , one of the Feigenbaum constants.[ref]
Quantitative Universality for a Class of Nonlinear Transformations by Mitchell Feigenbaum. Universal scaling analysis for maps with a specified maximum exponent
The striking result is independence from many details of the map, within the stated universality class. The Feigenbaum renormalization fixed point expresses that repeated rescaling approaches one common structure. A different shape of the critical maximum can belong to a different class, so the numerical constant is not universal for every nonlinear system.
Uriel Frisch studied nonuniform scaling of invariant measures with Konstantin Khanin and Takeshi Matsumoto. Their work on the Feigenbaum attractor related the statistics of fractional derivatives to the local singularity structure of a multifractal measure.[ref]
A single fractal dimension need not describe how probability concentrates differently from point to point. The derivative-based test offers another way to probe that spatially varying scaling, with the paper explicitly comparing heuristic arguments and precise numerical calculations.
Takeshi Matsumoto studied the multifractal measure of the Feigenbaum attractor with Uriel Frisch and Konstantin Khanin. Their analysis related power-law tails of fractional derivatives of an integrated invariant measure to its spectrum of local singularities.[ref]
This supplies a way to detect nonuniform scaling from a transformed observable, rather than assigning the entire attractor one local exponent. The paper distinguishes its heuristic theoretical steps from high-accuracy numerical checks.
S. F. Foerster and collaborators measured sphere–sphere and sphere–wall impacts to test a collision model with normal coefficient of restitution, friction and tangential coefficient of restitution. Their comparison linked material-dependent measurements to predicted impact dynamics.[ref]
Measurements of the collision properties of small spheres by S. F. Foerster and others. Abstract and reported sphere properties
M. Y. Louge co-developed measurements of small-sphere collisions using stroboscopic photographs. Releasing spheres without initial spin helped isolate how contact generates rotation and changes tangential motion.[ref]
H. Chang (collision mechanics) helped test a three-parameter model of sphere collisions. The 1994 experiment used pre- and post-impact trajectories to distinguish normal coefficient of restitution from sliding friction and nonsliding tangential response.[ref]
K. Allia co-investigated small-sphere impacts using free-fall release and stroboscopic trajectory measurements. The joint 1994 study separated normal coefficient of restitution, contact friction and tangential coefficient of restitution rather than reducing every collision to one number.[ref]
H. A. Kramers modeled thermally activated escape from a potential well using Brownian motion with friction. His 1940 treatment linked chemical reaction rates to barrier crossing under both random forcing and dissipation.[ref]
The exponential suppression reflects the energy needed to reach the barrier, but the prefactor depends on the frictional regime. Thus knowing a barrier height alone is insufficient to predict a reaction rate. The Kramers escape rate connects equilibrium thermal probabilities with the dynamics that carry a system out of a metastable state.
Jerrold Franklin analyzed rigid motion and collisions in special relativity. His treatment distinguishes maintaining proper separations from maintaining the same coordinate separation at one observer's simultaneous times.[ref]
Rigid body motion in special relativity by Jerrold Franklin. Relativistic rigidity and straight-line acceleration
For straight-line rigid acceleration, different points generally require different proper accelerations. A rule that simply gives every point the same acceleration in one inertial frame need not preserve the object's rest-frame length. The idealized kinematic prescription also does not provide a mechanism for instantaneous stress transmission through a real material.
Richard Arnowitt co-developed a canonical treatment of general relativity with Stanley Deser and Charles W. Misner. Their framework organizes spatial geometry, conjugate momenta and constraints, and supplies an asymptotic definition of gravitational energy.[ref]
The Arnowitt-Deser-Misner energy is associated with suitable asymptotic boundary conditions; it is not a universal pointwise energy-density formula for an arbitrary spacetime.
Stanley Deser, with Richard Arnowitt and Charles W. Misner, developed the canonical dynamics of general relativity. The formulation separates physical evolution from coordinate freedom and makes the constraint structure explicit.[ref]
The Dynamics of General Relativity by Richard Arnowitt and others. Canonical reduction and gravitational constraints
Charles W. Misner co-developed the canonical formulation of general relativity with Richard Arnowitt and Stanley Deser. Their account separates spatial geometry from its time evolution, expressing the gravitational system through dynamical variables and constraint equations.[ref]
The Dynamics of General Relativity by Richard Arnowitt and others. Original 1962 chapter: canonical variables and constraints; reproduced in 2004
This turns spacetime evolution into an initial-value problem. Initial geometric data cannot be freely assigned component by component; they must satisfy the gravitational constraints.
Pinned article: Introduction to the OurBigBook Project
Welcome to the OurBigBook Project! Our goal is to create the perfect publishing platform for STEM subjects, and get university-level students to write the best free STEM tutorials ever.
Everyone is welcome to create an account and play with the site: ourbigbook.com/go/register. We belive that students themselves can write amazing tutorials, but teachers are welcome too. You can write about anything you want, it doesn't have to be STEM or even educational. Silly test content is very welcome and you won't be penalized in any way. Just keep it legal!
Intro to OurBigBook
. Source. We have two killer features:
- topics: topics group articles by different users with the same title, e.g. here is the topic for the "Fundamental Theorem of Calculus" ourbigbook.com/go/topic/fundamental-theorem-of-calculusArticles of different users are sorted by upvote within each article page. This feature is a bit like:
- a Wikipedia where each user can have their own version of each article
- a Q&A website like Stack Overflow, where multiple people can give their views on a given topic, and the best ones are sorted by upvote. Except you don't need to wait for someone to ask first, and any topic goes, no matter how narrow or broad
This feature makes it possible for readers to find better explanations of any topic created by other writers. And it allows writers to create an explanation in a place that readers might actually find it.Figure 1. Screenshot of the "Derivative" topic page. View it live at: ourbigbook.com/go/topic/derivativeVideo 2. OurBigBook Web topics demo. Source. - local editing: you can store all your personal knowledge base content locally in a plaintext markup format that can be edited locally and published either:This way you can be sure that even if OurBigBook.com were to go down one day (which we have no plans to do as it is quite cheap to host!), your content will still be perfectly readable as a static site.
- to OurBigBook.com to get awesome multi-user features like topics and likes
- as HTML files to a static website, which you can host yourself for free on many external providers like GitHub Pages, and remain in full control
Figure 2. You can publish local OurBigBook lightweight markup files to either OurBigBook.com or as a static website.Figure 3. Visual Studio Code extension installation.Figure 5. . You can also edit articles on the Web editor without installing anything locally. Video 3. Edit locally and publish demo. Source. This shows editing OurBigBook Markup and publishing it using the Visual Studio Code extension. - Infinitely deep tables of contents:
All our software is open source and hosted at: github.com/ourbigbook/ourbigbook
Further documentation can be found at: docs.ourbigbook.com
Feel free to reach our to us for any help or suggestions: docs.ourbigbook.com/#contact





