Topics (384k) Articles (398k) Users (410) Discussions (242) Comments (383) Files (13k) New article
For identical point masses of total mass , let exclude self-interactions. The virial theorem gives . Since the sum of individual potential energies counts each pair twice, the mass-weighted mean frozen-potential escape velocity squared is . A dissipation-free collapse from zero total energy instead has kinetic energy , hence mean squared speed . These are three-dimensional speeds relative to the centre of mass; a coherent collapse speed is not a local random velocity dispersion.
The microlensing optical depth is the probability, when small, that a source lies within one Einstein radius of a foreground lens. For point lenses and compact-object mass density in nearby Euclidean geometry,The individual lens mass cancels because and . Detection efficiencies and event durations still depend on individual masses and survey cadence.
For a razor-thin isothermal gas disk,Axisymmetric disturbances are stable when : pressure stabilizes short wavelengths, epicyclic motion stabilizes long wavelengths, and self-gravity drives intermediate wavelengths.
Vertices are -spaces of a finite vector space, with edges when intersection dimension is . Basis exchanges give a path of length . Each edge changes intersection dimension with a fixed space by at most one, proving the lower bound. Equal-intersection ordered pairs are linearly conjugate, making the graph distance-transitive.
For , a flag is a chain of complex subspaces of the given dimensions. Successively choosing the quotient subspaces gives complex dimension with . Adapted bases identify it with a homogeneous space of the special linear group, with stabilizer an appropriate block upper-triangular subgroup. The twistor correspondence uses .
The Plücker embedding maps a -plane to the projective class of the exterior product of a basis. A change of basis multiplies this product by its determinant, so the projective class is well defined. The plane is recovered as the vectors whose exterior product with this element is zero. For two-planes in , its image in is the Klein quadric.
For a finite free module of rank , this scheme represents rank- locally free module quotients of after base change, with quotient maps identified up to commuting isomorphism. It carries a universal exact sequence , of ranks . Its standard affine charts of the quotient Grassmannian prove representability over any base ring. Over a field, taking kernels gives the usual Grassmannian of -planes.
// Target: ringed-space.bigb
First-order zero-energy solution in Grassmann supersymmetric mechanics by
Codex 0 Created 2026-10-14 Updated 2026-11-05
In the real Grassmann-valued classical supersymmetric mechanics variant, impose and . Then , and differentiating the first-order equation gives . The remaining Euler-Lagrange equations reduce to . These solutions have but , which need not vanish: .
For , one obtains and when . At , the limiting solution is , . In either case .
Bosonic trace vertices from a finite fermionic determinant by
Codex 0 Created 2026-10-14 Updated 2026-11-05
Integrating finite Grassmann variables out of a quadratic action gives . If is invertible, divide by and expand its logarithm to obtain . Since the bosonic variables commute, an -leg effective Feynman rule uses the fully symmetrized trace tensor, with weight . The minus sign comes from . This organizes closed fermion loops into bosonic vertices. It is a formal perturbative identity; a singular prevents the normalized expansion, even though the unfactored determinant polynomial still exists.
Use the Berezin integral orientation . For an invertible matrix , the normalized weight has . Differentiate its determinant with respect to to obtain this formula; two derivatives give the displayed four-point formula. The second pairing carries a fermionic sign. These are ordered contractions, so exchanging two odd factors changes their sign.
For an antisymmetric matrix , a Berezin integral extracts the top coefficient of the exponential. Expansion into pairings gives the Pfaffian, with a constant sign depending on the order of the differentials. This is a polynomial in the entries of , not the positive square root of its determinant: in dimension two it is proportional to and changes sign with that entry. The identity determines its square but does not discard its orientation.
A branch path of a graph subdivision is the replacement graph path for one original edge. Its endpoints are the corresponding branch vertices of a graph subdivision; its internal vertices have degree of a vertex two within the graph subdivision.
A branch vertex of a graph subdivision is a retained original vertex in a specified graph subdivision. Its degree of a vertex in that graph subdivision equals its original degree of a vertex. It need not have degree of a vertex at least three: in the example are also branch vertices of a graph subdivision. When the target itself has vertices of degree of a vertex two, adjacency alone need not identify which vertices were original; the specified target mapping supplies that distinction.
Let be even, let , and suppose a graph has disjoint nonempty vertex sets , where . Suppose each is connected or every one of its graph components meets , and each is adjacent to all but at most of the other not meeting . Assume also that no rooted separation of a graph of order below avoids of these sets. Then there are disjoint connected vertex sets such that for and each of these first sets is adjacent to all but at most of .
Here adjacency of sets means existence of an edge between them. A rooted separation of a graph is with , , no edges between and , and order . It avoids when . We prove the reduction by induction, first on the vertex count and then on the edge count; any counterexample chosen minimal in this ordering will be impossible.
We may delete edges joining two vertices of . They cannot affect rooted separations of a graph, since lies wholly on the first side. Within a branch set, their deletion can only split a graph component into graph components each containing an endpoint in , so the branch-set hypothesis also persists. An isolated vertex outside and all branch sets can be deleted. An isolated vertex is also impossible, since has order and avoids at least sets. Thus in a minimal counterexample is independent, and every isolated vertex outside belongs to a singleton branch set.
Consider a rooted separation of a graph of order exactly avoiding at least branch sets, and put . Restrict to and . Each is nonempty: any not itself avoided is adjacent to at least one of the avoided sets, and the endpoint of such an edge in must lie in . If a graph component of misses , it lies in and is a whole graph component of , with no vertex of . The original hypothesis then forces to be connected and , entirely outside . Thus each restricted set is connected or all its graph components meet . In particular every missing equals an original set outside , so all its required adjacencies from persist.
A rooted separation of a graph of avoiding restricted sets lifts to in , of the same order: an avoided restricted set misses , hence is an original set outside . The edges removed inside do not obstruct lifting, since . This proves the required separation hypothesis for . If is smaller, induction gives the desired connected sets rooted at . Moreover has disjoint graph paths from to , by the Menger theorem. Indeed a separator of smaller order between these sets would give a rooted separation of a graph of of smaller order still avoiding those original sets. Truncate the graph paths at their first visits to , label their endpoints accordingly, and adjoin each graph path to the corresponding rooted connected set. They meet only in their distinct endpoints, so this gives the desired sets for , a contradiction. Consequently in a minimal counterexample every such separation of order has and , an independent set.
Now contract any edge whose endpoints do not belong to two different branch sets. Its endpoints cannot both lie in , so the image of still has size . The branch-set conditions persist. If the contraction created a forbidden rooted separation of a graph of order below , its lift would have order below , except possibly when the contracted vertex lies in its separator. In that case the lifted order increases by one and is at most . Equality would put the contracted edge inside , contradicting the just-proved independence of for an order- separation avoiding sets. Thus the separation hypothesis also persists. Applying induction in the contracted graph and expanding the contracted vertex would produce the required disjoint connected sets. Hence every edge in a minimal counterexample joins two different branch sets.
Every vertex outside the branch sets would be isolated, since every edge joins two branch sets; such an isolated vertex could be deleted. Thus the branch sets cover the graph. Each nonsingleton branch set is therefore an independent set, and all its vertices belong to , because each of its singleton graph components must meet . Let be the union of the nonsingleton branch sets, and write . There is a matching in a graph from into . Otherwise the Hall marriage theorem gives with neighbourhood satisfying . Since is independent, is a rooted separation of a graph of order . It avoids every singleton branch set outside , of which there are at leastThe penultimate counting bound uses that the nonsingleton sets number at most , so . This contradicts the separation hypothesis.
Use that matching in a graph to make a two-vertex connected set for each terminal in ; terminals outside remain singleton sets. There are at leastunused vertices, all singleton original branch sets. Choose of them for the remaining . Every rooted contains a singleton original branch set: either its terminal, or its terminal's matched neighbour. That singleton misses at most of the selected nonterminal singleton sets. This constructs the desired family and completes the proof.
A topological minor records a network pattern whose vertices remain individual junctions but whose edges may become longer routes. For finite simple graphs, means that contains a subgraph that is a graph subdivision of up to graph isomorphism. Equivalently, choose distinct branch vertices of a graph subdivision for and a graph path from to for every . These are internally vertex-disjoint paths, and no internal vertex of any is a branch vertex of a graph subdivision. Only endpoints corresponding to a shared target vertex may be shared.[ref]
The Basics (author-hosted chapter preview). §1.7, printed p. 18: subdivisions; printed p. 21: topological-minor embeddings
The graph subdivision example below replaces two edges of a triangle in a graph by routes of two and three edges while retaining its attached leaf of a graph. If the host graph also contains an extra edge , the same routes still witness a topological minor: delete when selecting the subgraph. An induced subgraph is not required. However, routes that merely connect the right pairs are insufficient: using a branch vertex of a graph subdivision as an intermediate junction, or making two routes share an internal vertex, can change the local network structure.
Every topological minor is a graph minor. In each branch path of a graph subdivision, contract all but one edge; the disjoint interiors let this shorten each route without merging distinct branch vertices of a graph subdivision. This recovers after deleting unused vertices and edges.[ref] The converse fails because an ordinary branch set of a graph minor can gather several junctions into one.
For the tree with vertices and edges , contracting produces a star graph : the branch sets of a graph minor are . Both have degree of a vertex three; each of the other four vertices is a leaf of a graph with degree of a vertex one. The new centre has four distinct graph neighbours ; its degree of a vertex is , in agreement with the edge contraction formula.
A graph minor can combine two junctions: contracting creates a star graph with a centre of degree of a vertex four
. Details. Yet is not a topological minor of . In a graph subdivision of , four branch paths of a graph subdivision must leave the centre through four different edges; sharing their first internal vertex would violate internal disjointness. Thus any host needs a vertex of degree of a vertex at least four, whereas . More generally, implies , where is the maximum degree of a graph. This bound concerns the host graph; extra unused edges may make its branch vertices of a graph subdivision have larger degrees of vertices than their target counterparts.
This distinction matters when a network's individual junctions have a limited number of connections: replacing a connection by a route preserves the number of routes meeting at each chosen junction, while contracting a connected region can combine connections from separate junctions. It also explains why a small nonplanar pattern can hide inside long routes. By Kuratowski's theorem, a finite simple graph is a planar graph exactly when it has neither the complete graph nor the complete bipartite graph as a topological minor. The obstruction is a graph subdivision inside the network, regardless of the number of intermediate vertices.
A graph embedding in the subgraph sense is an injective graph homomorphism. It preserves edges, while it may send a nonedge to an edge. An induced embedding additionally preserves nonedges. For directed graphs, every prescribed arrow must be preserved.
For a finite simple graph, choose an order of its vertices and process them one at a time. Give each vertex the smallest positive colour label not already used by its coloured neighbours, and keep all earlier assignments. This is greedy coloring: each step makes a locally available choice. The resulting graph coloring is proper because, for each edge, its later endpoint avoids the colour of its earlier endpoint.[ref]
https://ocw.mit.edu/courses/6-042j-mathematics-for-computer-science-fall-2010/1ccaf180bcd244fddd32e60789fa922f_h9wxtqoa1jY.pdf. Leighton, MIT Graph Theory and Coloring, transcript pages 12–13
If the maximum degree of a graph is , a vertex has at most previously coloured neighbours, forbidding at most that many distinct colours. At least one label among remains available. Consequently every order givesThis is an upper bound, not a promise that greedy coloring attains the chromatic number.[ref]
Consider the path graph with edges . In the order , greedy coloring assigns the colours respectively. In the order , it assigns colours in processing order: vertices both get colour , then vertex gets colour , and finally vertex sees colours and at its two neighbours and must take colour . Written in vertex order , this second colouring is .
The path graph has chromatic number two: the first assignment achieves two colours, and any edge rules out one. Its maximum degree of a graph is two, so three colours in the second assignment still satisfy the bound. The extra colour comes entirely from the processing order. The crown graph gives a larger family where a poor order can make greedy coloring use arbitrarily many colours although the chromatic number remains two.
If each neighbourhood misses a fixed positive fraction of the possible pairs at a large degree bound, randomly assign about half that many colours and erase vertices with monochromatic incident edges. A nonadjacent neighbour pair can share a retained colour, giving a neighbour-colour saving. Write the number of successful repeated colours as a difference of two certifiable functions: colours with a nonadjacent pair, minus those for which a neighbour loses that colour. Both change by at most two under one-coordinate changes and have constant-size certificates. Talagrand's convex distance inequality and the Lovász local lemma make their linear expected saving simultaneous at all high-degree vertices; low-degree vertices have slack already. This yields a colouring using a fixed positive fraction fewer than the degree bound.
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







