How statement and proof provenance work
The first chip identifies the source of the statement or construction; the second identifies the source of its local proof or verification.
- Literature-sourced: the exact statement appears in a cited source; only wording and notation differ.
- AI-adapted: a semantically identical restatement of literature-sourced material, modulo indexing, notation, and boundary cases adopted by the library.
- AI-generated: a genuinely novel statement formulated by AI, with no source for the claim itself.
These labels describe origin, not correctness: citations and verification chips remain separate evidence.
Quantitative Induced Density and the Log-Log Step
1 · Prerequisites
- Absolute and Conditional Convergence; Rearrangement; Products
- Binary Operations, Monoids, Groups and Subgroups
- Blockades, Combs and Pattern Graphs
- Compactness in Metric Spaces
- Completeness, Completion, and Uniform Continuity
- Construction of the Natural Numbers
- Construction of the Real Numbers via Cauchy Sequences
- Construction of the Real Numbers via Dedekind Cuts
- Continuity, IVT, EVT, and Uniform Continuity
- Countability and Uncountability
- Finite Counting, Factorials and Binomial Coefficients
- Foundations of the Real Numbers for Analysis
- Graphs, Walks and Connectivity
- Inclusion–Exclusion, the Pigeonhole Principle and Double Counting
- Induced Subgraphs and Hereditary Graph Classes
- Limits of Real Functions
- limsup, liminf, and Subsequential Limits
- Metric Spaces
- Monotone Functions, Discontinuities, and Continuity Sets
- Monotone Sequences, Bolzano-Weierstrass, and Cauchy Completeness
- Order, Zorn's Lemma, and the Axiom of Choice
- Power Series and Real-Analytic Functions
- Properties of the Integral and the Working FTC
- Regular Pairs and Induced Counting
- Relations, Functions, and Quotients
- Roots, Rational Powers, and Classical Inequalities
- Sequences and Limits
- Sequences and Series of Functions; Uniform Convergence
- Series: Convergence and the Nonnegative Tests
- Sparse Restricted Subgraphs and the Rödl–Nikiforov Theorems
- Suprema and Infima
- The Derivative and the Mean Value Theorems
- The Exponential Function
- The Logarithm and General Powers
- The Riemann Integral: Definition and Integrability
- The ZFC Axioms and the Basic Set Constructions
- Topology of ℝ
- Vector Spaces, Linear Subspaces, Span and Direct Sums
2 · Summary
This page proves quantitative sparse-or-dense induced-subgraph bounds from few labelled induced copies. Good-copy extension and the special-copy trichotomy lead to a maximal-blowup argument and a long restricted block sequence. A finite two-parameter density profile then converts divisibility into the quadratic logarithmic and loglog bounds. Empty blocks are allowed only under the explicit QID convention, and singleton conclusions use edge-count inequalities rather than undefined density quotients. All logarithms are to base two.
3 · Logical flowchart
4 · Definitions, theorems and proofs
Induced copy density and homogeneous restriction parameter
Definition
Let be a nonempty finite simple graph, , and a finite simple graph with . Define , using the labelled induced embeddings of The induced-embedding count and Induced embeddings and induced copies of a graph.
For , put Here counts unordered edges. For disjoint sets, counts cross edges as in Edge counts and densities between nonempty vertex sets. We use the quotient only for .
There are finitely many subsets by for finite . A singleton has no edges and by A finite set with elements has exactly two-element subsets, and , so the family in the maximum is nonempty. Comparing a finite list of its real values gives an attained maximum, with . If or , the full vertex set qualifies and .
For the null pattern, the unique empty map is an induced embedding, so and . For a one-vertex pattern the count is .
Source notes
Proof/convention locator: Bucic, Nguyen, Scott and Seymour, Induced subgraph density I, Sections 2 and 5, before 5.2 and its beta_s definition.
Qid restricted blockade with empty blocks
Definition
For a finite simple graph , a QID block sequence has integer length , pairwise disjoint subsets , and width . Empty blocks are permitted, including repeated empty sets.
For , it is -restricted if for each one may choose such that every satisfies . The choice of is fixed for that index, for all later vertices. It is uniformly -sparse in if every index uses the same .
This extends Sparsity of one vertex set to another, and weak sparsity of a pair by the degree inequality itself. If is empty both sides are zero; if the later union is empty the condition has no instances. At positive width these are the blockades of Blockades, their length, their width, and their support. For positive width and , uniform -sparsity in a fixed is precisely the -sparse blockade notion of Complete, anticomplete, pure, weakly sparse, and -sparse blockades applied to the ambient graph : the degree condition on a union holds exactly when it holds on every constituent later block. For the QID degree inequality remains meaningful, but it lies outside that published definition's parameter range.
Source notes
Proof/convention locator: Bucic, Nguyen, Scott and Seymour, Induced subgraph density I, Section 2, blockade conventions.
Labelled blowup and good induced copy
Definition
Let be a nonempty finite simple graph with its vertices regarded as labels. For an integer and , a -blowup of in is a family of pairwise disjoint sets , each of size , with the following property: for distinct , each vertex of has at most neighbors in if , and at most nonneighbors in if . The condition is required for both ordered pairs and .
For , a good embedding of is an induced embedding satisfying for every . Counts mean labelled embeddings as in Induced copy density and homogeneous restriction parameter. The empty map is good when . Internal edges of a block are unrestricted.
The family consists of blocks in the sense of Blockades, their length, their width, and their support, with both directional conditions of Sparsity of one vertex set to another, and weak sparsity of a pair. Merely meeting distinct blocks does not impose the specified label assignment.
Source notes
Proof/convention locator: Bucic, Nguyen, Scott and Seymour, Induced subgraph density I, Section 4, definition preceding 4.2.
Good copy extension count
Statement
Let have vertices and let be a -blowup in a finite graph , with integer . Every good embedding of , , has at least good extensions to .
Facts & Assumptions
Given: A -blowup of a nonempty -vertex pattern, integer , , and a good partial embedding .
In a -blowup, every vertex of either block has at most wrong adjacencies in the other block; good embeddings respect the assigned labels. (Labelled blowup and good induced copy).
Proof
Induct on . When , the given map is its unique extension and the bound is .
Let and assume the assertion for . Choose a missing label . For every , [F1] bounds by the vertices in with the wrong adjacency to . The union of these forbidden sets has size at most : assign each forbidden vertex to its first offending label, obtaining disjoint subsets of the forbidden sets. Thus at least vertices are available.
Each available gives an induced extension by : the old map already preserves all old pairs, the new pairs have the prescribed adjacency, and disjoint blocks prevent collisions. By induction each such map has at least full extensions. The families for distinct are disjoint since they differ at ; adding their cardinalities gives at least . This proves the induction, including the empty initial map.
Source notes
Proof/convention locator: Bucic, Nguyen, Scott and Seymour, Induced subgraph density I, 4.2, internal claim (1).
Few induced copies exclude a fixed labelled blowup
Statement
Let be nonempty with , and an integer. If , no -blowup of exists in .
Facts & Assumptions
Given: A nonempty -vertex graph , integer , and .
From Good copy extension count: Every good embedding of , , has at least good extensions to .
Proof
Suppose such a blowup exists. Its unique empty good embedding has at least good full extensions by [F1] with .
Every good extension is an induced embedding, so , contradicting the strict hypothesis. Therefore the blowup cannot exist.
Source notes
Proof/convention locator: Bucic, Nguyen, Scott and Seymour, Induced subgraph density I, 4.2.
Qid bipartite density trimming
Statement
Let be disjoint finite vertex sets and . If , then some with has for every . Empty sets are permitted. This is a bound from into .
Facts & Assumptions
Given: Disjoint finite , , and .
For a finite incidence relation, summing row sizes counts all incidences; empty index sets are permitted. (Double counting: for a relation between finite sets).
Proof
Let . Counting the finite relation of adjacent pairs by its fibres gives , including empty sets by [F1]. If or is empty, take . If , the sum of nonnegative integer degrees is zero, so every degree is zero and again take .
Otherwise . Let . If is nonempty, , hence . If is empty the same required conclusion holds. Thus has at least half the vertices and every degree in it is at most .
Source notes
Proof/convention locator: Bucic, Nguyen, Scott and Seymour, Induced subgraph density I, 4.1.
Qid fixed size density selection
Statement
Let be finite vertex sets and an integer. Some -subset satisfies . Independently, if , some -subset satisfies . For the internal edge count is zero. Applying the internal assertion to gives the analogous upper-density selection. The cross-edge and internal choices need not be the same subset. Cross edges are counted as ordered adjacency pairs, so and may overlap.
Facts & Assumptions
Given: Finite , , and an integer .
In a finite nonempty family of incidence rows, at least one row has size at most the average row size. (If is nonempty, some row fibre is at least the average size and some row fibre is at most the average size).
Proof
The family of -subsets of is finite and nonempty: enumerate and take its first members. Its size is . Each ordered adjacency pair is counted in precisely when , and hence belongs to precisely members. Double counting incidences by [F2] and dividing by gives average cross count , where the factorial identity [F1] gives the last ratio.
The averaging principle [F3] applied to this incidence relation yields a member with cross count no greater than the average. This remains true if or the edge set is empty: every cross count is zero.
For , an internal edge is in members of . Repeating the incidence count [F2], its average internal count is by [F1]. A member no greater than this average exists by [F3]; division by gives the assertion.
If , choose any vertex of the nonempty ; its induced graph has zero edges. For , the only choice is and the bounds are equalities. In the complement the same count gives , equivalently an internal density at least that of when .
Source notes
Proof/convention locator: Bucic, Nguyen, Scott and Seymour, Induced subgraph density I, 4.3 proof (1); 5.2 proof (1).
Local special copy trichotomy
Statement
Let be a nonempty finite graph, , , , and . Let and let be disjoint vertex subsets of a finite graph , such that every has at least nonneighbors in . At least one of the following holds:
- Some has and .
- .
- Some , have , and .
Integer powers use the empty-function convention .
Facts & Assumptions
Given: as in the statement, with the stated nonneighbor bound.
From The set of functions between finite sets is finite, with : Then is finite and ,
For finite sets and a relation , . (Double counting: for a relation between finite sets).
Proof
If , the second lower bound is zero. If and , it is also zero. If , then even when is empty. Hence assume nonempty and , and that the first and second alternatives both fail.
List the edges at as , and let retain precisely the first of them, with all other adjacencies unchanged. Count special induced embeddings of taking to and other labels to ; denote the number by . For each , its nonneighbor set has . Failure of the first alternative gives at least embeddings of there. Extending by and summing disjoint fibres by [F2] yields , where .
Failure of the second alternative gives , since . Thus and there is a first with . Its predecessor satisfies , since and . Also .
Put . For each induced embedding of into , let contain the valid images of for . Let contain the valid images of for , using this intermediate graph, not . Let and count respectively nonedges and edges between . The only remaining pair is : a nonedge completes and an edge completes . Conversely every special embedding restricts to exactly one such . Therefore [F2] gives and .
There are at most possible by [F1]. Discard those with . Their total is at most , so the retained family has total at least . If every retained had , summing would give , impossible. Some retained therefore has .
For this , . Since and , this implies and . Moreover . Set , . These satisfy the third alternative and complete the proof.
Source notes
Proof/convention locator: Bucic, Nguyen, Scott and Seymour, Induced subgraph density I, 3.1 complete proof.
Qid maximal blowup trichotomy
Statement
For a nonempty finite graph , and , there exist such that for every finite graph with and , where , at least one of the following holds:
- Some has and .
- .
- Disjoint have , , and is -sparse to in or .
Facts & Assumptions
Given: A fixed nonempty , , , and arbitrary in the stated ranges.
For every real , its unique integer part satisfies . (Integer part: for every real there is exactly one integer with ).
From Few induced copies exclude a fixed labelled blowup: If , no -blowup of exists in .
For a nonempty pattern with distinguished vertex , parameters , , and disjoint sets with at least nonneighbors in for every vertex of , , the local trichotomy gives a few- subset of of relative size at least , at least induced embeddings, or a pair of relative sizes at least with cross density at most . (Local special copy trichotomy).
From Qid fixed size density selection: Some -subset satisfies .
From Qid bipartite density trimming: If , then some with has for every .
Proof
If , take ; the count is . For , first prove the assertion when is an integer. Enlarge to a positive integer at least , using [F1]; proving the smaller copy threshold for this enlarged exponent implies the original first alternative. Set , for , , and . These are positive integers, for , and for : iterating gives .
If , choose a vertex . Of its neighbors and nonneighbors outside , one has size at least . That set is anticomplete to in one of the two graphs, proving the third alternative. Hence assume and all three alternatives fail for .
Let . The argument exceeds , so [F1] gives . Put , ; the reciprocal-integer assumption makes every an integer, and . Since , we have , whence . Failure of the count alternative and [F2] exclude a -blowup of .
A one-label subgraph of has a -blowup by taking any vertices. Among finitely many vertex subsets of admitting the specified blowup, take one of greatest size, say of size , with blocks . Choose and let . Outside , let contain vertices with at most neighbors if is an edge of , or at most nonneighbors otherwise. If , then give the third alternative. Thus every . Also . Consequently has size at least .
Write , , and . Then , , and . Fix and of size at least . If is a nonedge, apply [F3] to with its parameters , . Its nonneighbor hypothesis holds by the definition of . If is an edge, apply it to . Complementing both graphs preserves every induced embedding and the count of ; thus the same first two contradictions below apply in this case too.
The first outcome of [F3] would give a set of size at least with the forbidden few-copy property. For the second, : indeed and . Also and . Therefore its lower count is at least . Both outcomes are excluded. The third gives , of relative sizes at least , with cross density at most in the graph chosen in the previous step.
Because , [F4] chooses of exactly vertices without increasing its cross density to . Apply [F5] to to get of size at least , with degrees into at most . This is the required one-block processing step.
Process the labels in any fixed order, starting with and replacing by at each step. Before the last step its size is at least , so the preceding construction applies every time. Degree bounds into previously chosen survive restriction of their source set. The final has size at least : use and . Take of size .
For each , the bound from into implies cross density at most . Applying [F5] to supplies at least vertices with degree into at most ; take exactly that many as . The reverse degree bound into follows from the old bound into : it is at most . For two old labels, restricting the target from to changes the bound by a factor at most , giving in both directions. Thus these disjoint sets form a -blowup on , contrary to maximality. This proves the reciprocal-integer case.
For arbitrary allowed , put and . By [F1], , so and in particular . Apply the proved case at and take final , . Then , , , and -sparsity implies -sparsity. Each of the three alternatives therefore implies its required counterpart at , including the original unenlarged .
Source notes
Proof/convention locator: Bucic, Nguyen, Scott and Seymour, Induced subgraph density I, 4.3 complete proof.
Special copy trichotomy produces a restricted blockade
Statement
For every nonempty finite graph there exist such that, whenever is nonempty, , and , there is a QID -restricted sequence of length at least and width at least . At least half its indices form a sequence uniformly -sparse in or its complement, so that sequence has length at least and the same width lower bound.
Facts & Assumptions
Given: A nonempty finite pattern . The host and obey the statement, with the copy threshold imposed after the constants are chosen.
Given , the maximal-blowup trichotomy supplies constants for all hosts of order and : a few- subset of size at least , at least copies, or an -sparse pair with sizes at least and . (Qid maximal blowup trichotomy).
QID sequences allow empty blocks. Restrictedness means that each later union is directionally sparse to its earlier block in one fixed graph or complement for that index. (Qid restricted blockade with empty blocks).
For every real , its unique integer part satisfies . (Integer part: for every real there is exactly one integer with ).
Proof
Induct on . If , take ; the premise is impossible. For , fix and let be the constants for . Apply [F1] with to obtain . Set , , and .
If , take empty blocks. By [F3] this integer is at least the required length, and the width is . All degree conditions hold by [F2]. Hence assume .
Consider nonempty restricted sequences whose first blocks have size at least and whose last block has size at least . The one-block sequence qualifies. All these sequences have length at most , so a maximum length is attained in a finite nonempty family. Fix such a sequence. If , its first blocks prove the restricted assertion. Otherwise [F4] gives . Thus .
Apply [F1] inside at with . Its count outcome would give , contrary to the premise; the first inequality holds by inclusion of the embedding sets. Its sparse-pair outcome would replace by with and . Earlier degree conditions persist because their target blocks are unchanged and their later vertices are restricted. The new pair meets the last condition, contradicting maximum length.
Therefore [F1] supplies with and . Here is nonempty and , so induction applies. It gives length at least and width at least . Floor monotonicity follows from [F3]: if and , then . This completes the restricted-sequence induction.
In the resulting sequence assign an index to if its later union is -sparse to its block in , and to otherwise. Restrictedness ensures the latter indices use ; the last index can be assigned to because its tail is empty. One of the two sets has at least half the indices. Retain its blocks in their old order. Each later union has only shrunk, so its degree inequalities remain true, and each retained block has its old size. This proves the uniform conclusion.
Source notes
Proof/convention locator: Bucic, Nguyen, Scott and Seymour, Induced subgraph density I, 4.4; 2.3.
Subreciprocal function and ell divisibility
Definition
A function is subreciprocal when it is nonincreasing and satisfies throughout its domain.
A nonempty finite graph is -divisive if there are witnesses and such that for every and every nonempty finite graph , the inequality implies a QID block sequence of length at least , width at least , uniformly -sparse in one of .
Counts use Induced copy density and homogeneous restriction parameter, and empty blocks have the convention of Qid restricted blockade with empty blocks. Floors mean Integer part: for every real there is exactly one integer with . Logarithmic functions used here have base two, in the sense of The logarithm to a positive base other than one. The witnesses are fixed for , independently of .
Source notes
Proof/convention locator: Bucic, Nguyen, Scott and Seymour, Induced subgraph density I, Section 5 before 5.1.
Admissible parameters for the density recursion
Statement
Let be subreciprocal, , . Set and . For , put , , , , and . Let , and . Then is the least natural number with and This asserts admissibility of the recursion parameters; no new operation on functions is implicit in the title.
Facts & Assumptions
Given: A subreciprocal , , , , and the real parameters defined in the statement.
From Subreciprocal function and ell divisibility: A function is subreciprocal when it is nonincreasing and satisfies throughout its domain.
For every real , its unique integer part satisfies . (Integer part: for every real there is exactly one integer with ).
Proof
By [F1], , so and . By [F3], satisfies . Thus and . Every evaluation of is in its domain.
Monotonicity in [F1] gives . Consequently , so . Also because , and .
Put . Apply [F2] to and negate: . Thus is an integer; and [F3] give , which proves minimality among naturals. Since and , we have .
The inequality implies , hence , and . By [F4], . Finally , so this exceeds .
Using gives . Combined with the strict inequality in the preceding step, this proves and all the asserted bounds.
Source notes
Proof/convention locator: Bucic, Nguyen, Scott and Seymour, Induced subgraph density I, 5.2, setup preceding claim (1).
Qid finite density recursion profile
Definition
Fix a nonempty finite graph , , and an integer . For real , define Here is Induced copy density and homogeneous restriction parameter. The qualifying are nonempty because , and they form a finite family by for finite . The family contains , since . Thus its minimum is attained by finite comparison, and .
Every qualifying induced therefore has a nonempty with and or : choose a maximizing set for . Conversely any uniform fractional guarantee over these is no larger than their minimum , so this finite profile equals the largest uniform guarantee. If or , every full qualifies and . At , the only qualifying set is , so .
Source notes
Proof/convention locator: Bucic, Nguyen, Scott and Seymour, Induced subgraph density I, 5.2, definition of beta_s.
Qid logarithmic and constant divisibility
Statement
Every nonempty finite graph is -divisive for each of and . Both functions are subreciprocal on . The divisibility constants may depend on .
Facts & Assumptions
Given: A nonempty finite graph and the two functions and on .
For each nonempty , constants make a strict bound yield a QID -restricted sequence of length at least and width at least when is nonempty and . At least half its indices form a subsequence uniformly -sparse in or in , so that subsequence has length at least and the same width lower bound. (Special copy trichotomy produces a restricted blockade).
From Subreciprocal function and ell divisibility: A function is subreciprocal when it is nonincreasing and satisfies throughout its domain. A nonempty finite is -divisive if fixed witnesses and ensure that for every and nonempty finite , the bound yields a QID sequence uniformly -sparse in one of , with length at least and width at least .
For every real , its unique integer part satisfies . (Integer part: for every real there is exactly one integer with ).
For , , and , . (Change of base and inversion of the positive-base real exponential).
The natural logarithm is strictly increasing and . (Order, continuity, range, and the product, quotient, and reciprocal laws for the natural logarithm).
Proof
By [F5], , so [F4] implies that is strictly increasing and . Its inverse is also strictly increasing: if but , applying would give . Likewise, for any fixed , [F5] gives , so is strictly decreasing by [F4]. If but , applying would give ; thus .
For , let by [F3]. Then and . The integer inequality follows by induction: it is equality at , and . Thus [F4] and step 1.1 give . In particular without an asymptotic restriction.
If , then , so by the preceding bound. As increases, decreases and the increasing logarithm makes nonincreasing. The constant function 2 is nonincreasing and . Both satisfy [F2].
For fixed choose from [F1] and any . Let . For and nonempty , the premise implies because and . The uniformly -sparse subsequence supplied by [F1] has length at least and width at least by floor monotonicity: if but , integrality and [F3] give , a contradiction. These are the required witnesses for logarithmic divisibility.
The same witnesses have , hence gives . The same uniformly -sparse subsequence therefore has length at least 2 and the same width. This witnesses constant divisibility, including every zero-floor-width case.
Source notes
Proof/convention locator: Bucic, Nguyen, Scott and Seymour, Induced subgraph density I, 5.1 and paragraph on constant ell before it.
Ell divisibility amplifies through a blockade
Statement
Let be subreciprocal and let the nonempty finite graph be -divisive with witnesses , . Write . Put , , and for put , , , and . Fix a nonempty finite with , and . Let be its finite density profile with parameter . For and ,
Facts & Assumptions
Given: All parameters and the fixed host as in the statement, including , the non-strict copy bound, , and .
For the stated , the parameters satisfy , , , , and ; is the least natural with . (Admissible parameters for the density recursion).
From Subreciprocal function and ell divisibility: A nonempty finite graph is -divisive if there are witnesses and such that for every and every nonempty finite graph , the inequality implies a QID block sequence of length at least , width at least , uniformly -sparse in one of .
From Qid finite density recursion profile: Every qualifying induced therefore has a nonempty with and or : choose a maximizing set for .
From Qid bipartite density trimming: If , then some with has for every .
From Qid fixed size density selection: Independently, if , some -subset satisfies . For the internal edge count is zero.
For every real , its unique integer part satisfies . (Integer part: for every real there is exactly one integer with ).
For every natural , when the natural numbers are viewed in the real field. (A finite set with elements has exactly two-element subsets, and ).
Proof
Set , and . Take any induced with . From [F1] and we have , so . Embeddings in inject into those in by inclusion. Hence , using , , , and .
Now , so [F2] gives a uniform sequence in or with and . For the last bound, [F6] gives since . All blocks are therefore nonempty.
First suppose the sequence is -sparse in . Set . By [F6], and . Process blocks from down to . At step , let be the union of the already selected, pairwise disjoint -sets with . Because is -sparse to , . Applying [F4] in the direction from to gives with and degrees into at most . If the tail is empty, take , so the construction starts.
Apply [F3] inside with thresholds . It yields a nonempty of size at least . If , take : its size is already at least . Otherwise . The integer is at least the least integer above , so [F5] gives an exact -subset with . For use its zero edge count. As , the degree bound into the already fixed tail is preserved.
If the construction finishes without a complementary-density set, put . Then . The internal edges total at most . Each edge between blocks has a unique earlier endpoint block; summing gives at most cross edges. Since and , the total is at most .
By [F7], and . Taking their convex combination with weights proves . These identities are valid at too, so no density quotient by zero was used.
If the sequence supplied in step 2.1 is sparse in , run the same selection with degrees counted in , using and . Apply [F3] with the original thresholds in each . A low-density set in finishes immediately; otherwise the chosen set has complementary edge bound , to which [F5] in applies. The calculation of steps 5.1 and 6.1, with replacing , bounds complementary edges by . This uses the already obtained sequence; it never assumes is -free or satisfies an -copy bound.
Thus every induced at cutoff has a nonempty qualifying of relative size at least . Taking the minimum of over that family, as in [F3], gives , the asserted recurrence.
Source notes
Proof/convention locator: Bucic, Nguyen, Scott and Seymour, Induced subgraph density I, 5.2 claim (1).
Quantitative density theorem for ell divisive graphs
Statement
Let be a nonempty finite graph that is -divisive for a subreciprocal function . There is such that, for and every nonempty finite graph with has a nonempty of size at least with or .
Facts & Assumptions
Given: A nonempty -divisive pattern , a subreciprocal , and a nonempty host satisfying the copy bound for the fraction specified at each stage below.
For the stated subreciprocal function and witnesses, the parameter construction has , , , and the least natural with . (Admissible parameters for the density recursion).
With the parameter setup of the amplification lemma, a fixed nonempty satisfying and has for and . (Ell divisibility amplifies through a blockade).
From Qid finite density recursion profile: If or , every full qualifies and . At , the only qualifying set is , so .
Proof
Choose divisibility witnesses , put , , and . First take , and define by the displayed formula with . If , any singleton has the required size and zero edges in both graphs. Otherwise the parameter construction [F1] supplies and ; all hypotheses of [F2] hold with .
For each integer , the recurrence implies . At this is equality. To pass from to , apply [F2] with to every pair ; both coordinates are at least because . The two children have exponent pairs and , whose union over is exactly all pairs summing to . Taking their finite minimum proves the induction step.
At , the product of the two arguments in every terminal pair is by the least-natural property in [F1]. At least one argument is therefore at least 1. Each terminal profile value equals 1 by [F3]. Hence . The attained maximum defining supplies a nonempty set of at least vertices with one of the required edge bounds. Together with the singleton case, this proves the theorem on with constant .
For the full interval set and . Given , put and let be the small-interval fraction at with constant . Since and is nonincreasing, . Thus , so .
The original hypothesis implies . Apply the small-interval result to : its set has size at least , and its edge bound with implies that with . This establishes the claimed constant on the entire open interval.
Source notes
Proof/convention locator: Bucic, Nguyen, Scott and Seymour, Induced subgraph density I, 5.2 complete proof.
Fox sudakov quantitative induced density bound
Statement
For every nonempty finite graph there is such that for , , and any nonempty finite graph with , there is a nonempty with and at most edges in or . In particular this holds for -free . The version with a strict copy inequality covers the null pattern vacuously.
The constant is allowed to depend on ; this assertion does not specify an absolute constant times .
Facts & Assumptions
Given: Nonempty , , and the copy hypothesis with the displayed fraction after is chosen.
From Qid logarithmic and constant divisibility: Every nonempty finite graph is -divisive for each of and . Both functions are subreciprocal on .
For nonempty -divisive and subreciprocal , some gives the fraction on ; a nonempty host with at most embeddings has the asserted nonempty sparse-or-dense set of size at least . (Quantitative density theorem for ell divisive graphs).
Proof
Choose . By [F1] this is subreciprocal and the given nonempty is -divisive, so [F2] applies. Its denominator is . With , its fraction is exactly and its conclusion is the claimed set and edge bound.
If is -free, its labelled induced-embedding count is zero, which satisfies the non-strict premise. For the null pattern the unique empty embedding gives count 1, while ; the strict premise would read and is impossible. These observations establish both additional clauses.
Source notes
Proof/convention locator: Bucic, Nguyen, Scott and Seymour, Induced subgraph density I, 5.2 at ell=2; 1.7 (comparison of constant dependence).
Loglog quantitative induced density bound
Statement
For every nonempty finite graph there is such that, for and every nonempty finite graph with has a nonempty of size at least with or . Every -free host qualifies. The strict few-copy version covers the null pattern vacuously.
Facts & Assumptions
Given: Nonempty , , and the copy hypothesis with the displayed fraction after is chosen.
From Qid logarithmic and constant divisibility: Every nonempty finite graph is -divisive for each of and . Both functions are subreciprocal on .
For nonempty -divisive and subreciprocal , some gives the fraction on ; a nonempty host with at most embeddings has the asserted nonempty sparse-or-dense set of size at least . (Quantitative density theorem for ell divisive graphs).
Proof
Take . The hypotheses on the function and on the nonempty required by [F2] hold by [F1]. Since , we have and hence . Substitution into [F2] gives exactly the displayed fraction and the required set, with .
An -free host has . For null , there is exactly one induced embedding, the empty function; , so the strict inequality is impossible. This gives the stated boundary clauses without applying the formula at .
Source notes
Proof/convention locator: Bucic, Nguyen, Scott and Seymour, Induced subgraph density I, 1.8; 5.1 and 5.2.
5 · Examples, counterexamples and false statements
None yet.