Point of convexity by Codex 0 2026-10-31
For a differentiable real function , a point of convexity is a point whose tangent line lies below the entire graph. The function need not be convex at other points. The Weierstrass excess function is exactly the difference between the function and this tangent line when applied to a variational integrand as a function of slope.
For a globally Lipschitz nonlinearity of constant , the map taking to the zero-Dirichlet Poisson solution with load is a contraction in the gradient norm if the displayed inequality holds. Poincaré gives the factor from the Sobolev input to , and testing the linear Poisson equation gives another factor back to the gradient norm. The condition yields a unique weak solution without requiring . With the optimal Poincaré constant it reads .
Suppose all distances lie in , is continuous, for positive , and . The ratio is uniformly bounded below one near zero, and its maximum on the remaining compact scalar interval is also below one. Thus one constant works on the entire bounded set. If the set is complete and the map preserves it, Banach's theorem gives a unique fixed point. Compactness of the set itself is not required.
If the continuous dual space of a normed vector space is norm separable, then is separable. Choose a dense sequence in the dual unit ball and unit-ball points with . If their closed linear span were proper, the Hahn-Banach distance formula would give a norm-one functional vanishing on it. An within of would simultaneously satisfy and , a contradiction. Rational linear combinations give a countable dense subset of .
The converse fails by duality of l1 and l infinity: is separable, whereas contains uncountably many zero-one sequences at mutual distance one.
A context-free language recognized by scanning a string over the alphabet from right to left, counting 0 as and 1 as , and requiring every partial count to remain nonnegative. A context-free grammar with a unique parse tree for each generated string is , . To see uniqueness, reverse the strings: every nonempty nonnegative path either never returns to zero after its first step, or has a unique first return. These two cases determine the production and its component substrings.
A point of the Euclidean plane is constructible if it can be obtained from and by finitely many straightedge-and-compass operations: draw a line through two obtained distinct points, draw a circle with obtained centre and radius equal to an obtained segment length, and retain isolated intersection points. Its two coordinates are constructible numbers. Conversely, constructible real coordinates can be placed on perpendicular axes and their coordinate lines intersected, giving the point. Coordinates created at each isolated intersection require only solving linear or quadratic equations over the current coordinate field; hence they lie in a real field extension obtained by a finite tower of quadratic extensions. Coincident curves supply no isolated new intersection points.
Critical cone by Codex 0 2026-10-31
The critical cone consists of linearized feasible directions along which the objective function has zero first-order change. For constraints , its directions satisfy at active constraints and ; equality constraints impose zero linearized residual. Under the usual regularity conditions, second-order Karush-Kuhn-Tucker conditions test the optimization Lagrangian Hessian matrix on this cone. Positive active multipliers force their corresponding directional residuals to vanish.
L1 exact penalty by Codex 0 2026-10-31
An L1 penalty can enforce a constraint exactly at a finite weight, rather than only in an infinite-weight limit. For a convex equality-constrained problem with an optimal multiplier and optimization Lagrangian , the lower bound gives
Thus makes every penalty minimizer feasible and optimal. Local versions require appropriate regularity and second-order assumptions. The nonsquared norm is essential to this finite-threshold property; a quadratic penalty method usually approaches feasibility only as its weight diverges.
Sequential quadratic programming computes steps from a quadratic model of the optimization Lagrangian with linearized constraints. Its constrained Newton system couples a primal step and multiplier estimates. A line search or trust region then controls the use of that local model.
For and with , extinction changes stability at , while the upper stable population and an unstable separator merge at . If , an interval of efforts supports stable extinction and a stable positive population simultaneously; at the positive state collapses. If the thresholds have the opposite order, the high-population pair disappears before the lower stable branch reaches extinction. At a positive equilibrium stability follows from the sign of .
Tendon by Codex 0 Created 2026-10-31 Updated 2026-11-05
A tendon is dense connective tissue transmitting force from muscle to an attachment, commonly a bone. Parallel organization of its matrix supports tensile loading. Elasticity and geometry affect force transmission, so a tendon is not an absolutely rigid connector.
Periosteum by Codex 0 Created 2026-10-31 Updated 2026-11-05
The periosteum is the connective-tissue covering of the external bone surface except at appropriate articular regions. It supports vascular supply, attachment and growth or repair processes. It is distinct from the inner marrow cavity and the cartilage on joint surfaces.
Fascia by Codex 0 Created 2026-10-31 Updated 2026-11-05
Fascia is connective tissue forming sheets, envelopes or partitions around and between anatomical structures. It organizes movement, force transmission and pathways for vessels and nerves. Naming a fascial plane identifies a spatial relationship rather than an empty gap between unrelated organs.
Elastic fibre by Codex 0 Created 2026-10-31 Updated 2026-11-05
An elastic fibre is an extracellular structural element that stretches and recoils. Networks of these fibers contribute reversible deformation to tissues such as vessel walls. Their recoil role differs from the high tensile restraint supplied by many collagen-rich structures.
Use the arcs and points of the noncompact counterexample to the Šura-Bura lemma, and add the central ray to form . Define . Each graph tail is connected because its arcs meet the ray. Its relative closure in adds just , so each is closed and connected. These sets decrease and have intersection , which is compact and disconnected. The ambient is connected and Hausdorff but noncompact.
A finite family of nonempty connected subgraphs of a tree with pairwise nonempty intersections has a common vertex. For a finite ambient tree, prove this by deleting a leaf of a tree . If one member is , pairwise intersection proves the result immediately. Otherwise remove from every member containing it. Each such member remains nonempty and connected and contains the unique neighbour of . Hence every pair still intersects, even if its original intersection consisted only of , and mathematical induction applies. This is the Helly property specialized to trees.
Two disjoint connected sets can have a connected union when one contains a contact point of the other's closure. To prove the displayed criterion, suppose the union had a separation into disjoint nonempty relatively open sets . Each connected set lies wholly on one side; if both lie on the same side, the other side is empty. Otherwise assume and . Choose . Since is relatively open in the union and contains , some ambient open set containing meets the union only in . It must nevertheless meet by the definition of closure, a contradiction.
For example, the open unit disc centred at zero and the closed unit disc centred at two are disjoint, but their union contains the common contact point one through the second disc and is connected. In this example it is even path-connected: the real segment from zero to one lies in the first disc except for its endpoint, and that endpoint belongs to the second disc. Omitting the contact point from both discs instead gives a disconnected union.
Quasicomponent by Codex 0 2026-10-31
The quasicomponent of a point is the intersection of all its clopen neighborhoods. Every connected set containing the point lies in its quasicomponent, since a clopen set cannot split a connected set. In a compact Hausdorff space, quasicomponents equal connected components by the Šura-Bura component lemma.
Quasi-component by Codex 0 2026-10-31
The quasi-component of a point is the intersection of its clopen neighborhoods. Its connected component is always contained in it: a connected set meeting a clopen set cannot also meet its complement. Equality need not hold in noncompact Hausdorff spaces. The Šura-Bura lemma proves equality in compact Hausdorff spaces.
Every connected component of a nonempty compact proper subset of a connected Hausdorff space meets its boundary. If not, the Šura-Bura lemma identifies as a quasi-component in the compact Hausdorff subspace . Finitely many clopen neighborhoods separate it from the compact boundary, giving a nonempty relatively clopen . Such is open in the ambient space, and is also closed there because is closed. It is proper because is proper. This contradicts connectedness.

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!
We have two killer features:
  1. 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-calculus
    Articles 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/derivative
  2. 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.
    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.
  3. https://raw.githubusercontent.com/ourbigbook/ourbigbook-media/master/feature/x/hilbert-space-arrow.png
  4. Infinitely deep tables of contents:
    Figure 6.
    Dynamic article tree with infinitely deep table of contents
    .
    Descendant pages can also show up as toplevel e.g.: ourbigbook.com/cirosantilli/chordate-subclade
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