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For a linear operator on an -dimensional vector space over a field, the polynomials annihilating a fixed vector form an ideal of . It is nonzero because are linearly dependent. Since is a principal ideal domain, its unique monic generator exists and has degree at most . It divides exactly when . For it equals one. Its degree is the dimension of the cyclic subspace generated by : the vectors up to are independent by minimality and span an invariant space by the annihilating recurrence.
Eigenvalue criterion using the minimal polynomial by
Codex 0 Created 2026-10-31 Updated 2026-11-05
For a linear operator on a finite-dimensional vector space, an eigenvector gives , proving the forward implication from eigenvalue to root. Conversely write . If were invertible, the equation would imply , contradicting minimal degree. Thus has a nonzero kernel of a linear map. The equivalence concerns roots in the scalar field; roots in an extension describe eigenvalues after extending scalars.
Square-free minimal polynomial criterion for polynomial kernel stabilization by
Codex 0 2026-10-31
For a linear operator on a finite-dimensional vector space over a field , all polynomial kernels stabilize at their first power exactly when its minimal polynomial has no repeated irreducible polynomial factor in . This formulation does not require those factors to be linear.
To prove it, the Bézout's identity for polynomials gives : a greatest common divisor is a combination of and , while is its multiple. If is square-free, , proving the displayed equality. Conversely, if an irreducible factor occurs to exponent , its primary decomposition theorem summand has minimal polynomial . On this summand is nonzero, while . Thus the kernels of those two powers differ. An eigenbasis follows from this criterion precisely when the distinct factors of are also linear over ; a real rotation through a right angle has square-free but no real eigenvalues.
A finite conjunction from the signed atomic diagram of becomes, after existentially closing its new names, a sentence in its existential theory. Joint satisfiability with therefore makes the full diagram finitely satisfiable with . Compactness gives the embedding, with inequalities ensuring injectivity and signed atomic formulas ensuring both preservation and reflection of relations as required for a structure embedding. The reverse implication is preservation of existential truth under embeddings.
A communication object with an output port used to send values and an input port used to receive them. Its contract specifies ordering, capacity, sharing and closure. In synchronous message passing, a send completes through a matching receive; a buffered message-passing channel can retain accepted values until a receiver is ready.
Sharing one message-passing channel among multiple logical streams by attaching a stream identity to each transferred value. Independent cancellation requires a protocol that conveys which stream is ending; bounded per-stream flow control can prevent head-of-line blocking from a single unready consumer.
A message-passing channel carrying protocol instructions, such as cancellation or permission to send, rather than ordinary application payloads. A reverse control channel can communicate consumer closure back to a remote producer.
The cork cambium is a lateral meristem producing protective outer tissues during secondary growth. Continued production of new surface layers helps accommodate enlargement of stems and roots. It differs in position and products from the vascular cambium.
The +2 oxidation state of mercury. The actual aqueous species can depend on pH, hydrolysis and ligands; a bare ionic formula is an analytical shorthand.
The mercury(I) chloride historically called calomel. Reduction can give metallic mercury.
A mercury compound contains the chemical element mercury bonded or combined with other elements. The name refers to elemental chemistry, independently of the planet Mercury. Formula and oxidation state matter: mercury(I) ion contains a bonded pair , whereas mercury(II) denotes the +2 oxidation state.
Consequently a common anion need not give the same stoichiometry in the two cases. Combining with sulfate, , gives mercury(II) sulfate, , while the dimeric mercury(I) cation requires a different formula. These charge balances identify a composition; they do not by themselves determine the structure or aqueous speciation.
An operation constraining specified memory-access orderings. The strength and scope of a memory barrier matter; it does not by itself provide mutual exclusion or safe memory reclamation.
An architectural memory model preserving store-to-store and load-to-load ordering while allowing a later load to a different address to bypass a locally buffered store. This permits the two-zero store-buffering outcome while requiring no extra hardware fence for simple immutable pointer publication.
A value loaded by one instruction directly contributes, through register computation, to a later memory access's memory address. Loading a pointer and then reading fields through that saved pointer is a natural example. This differs from a control dependency.
A memory operation's execution is conditional on a preceding value. A control dependency alone does not generally order two reads on POWER architecture or the relevant ARM memory models; it must not be substituted for an address dependency in pointer-publication reasoning.
For a measure space and , the restriction of a measure to a measurable subset is the measure on given by the displayed formula. The trace sigma-algebra consists of the measurable sets contained in . The empty-set axiom and countable additivity are inherited directly from . An associated measure on the original sigma-algebra is for ; the two constructions have different underlying measurable spaces.
For measurable sets , the disjoint union and finite additivity give . This uses nonnegativity and is valid with infinite values; it does not subtract infinities. Monotonicity of a measure implies that increasing measurable sets have nondecreasing measures, but the equality of their limit with the measure of their union uses the stronger axiom of countable additivity.
A Lebesgue measurable function has a Lebesgue measurable set as the preimage of every open subset of . Equivalently, use every Borel set in the target: the sets whose preimages are measurable form a sigma-algebra containing all open sets. The source carries the Lebesgue sigma-algebra and the target its Borel sigma-algebra. A Borel measurable function on instead requires the preimages to be Borel in the source as well. Restricting the source to a Lebesgue measurable set uses its induced sigma-algebra.
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
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