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Harmonic concepts and persistence

A fixed harmonic incidence relation determines formal concepts and two filtrations measuring shared pitches and shared slices. Their persistent homology describes how overlap patterns survive as the required number of common witnesses changes. This page defines those objects, their duality, and a barcode convention with a worked example.

Use the definitions in Harmonic incidence and Boolean geometry: $T$ is the set of slices modulo a fixed lens, $\Sigma$ is the finite set of pitch labels, and $tR\sigma$ means that $\sigma$ is available at $t$. For $S\subseteq T$ and $C\subseteq\Sigma$,

S^\uparrow=\{\sigma:\forall s\in S,\ sR\sigma\},
\qquad
C^\downarrow=\{t:\forall\sigma\in C,\ tR\sigma\}.

These are mathematical analysis definitions, not a claim that the engine currently computes persistence. The input dimension is $d$, the witness threshold is $k$, and the homological degree is $q$.

Formal concepts

A formal concept is a pair $(S,C)$ such that

S^\uparrow=C,\qquad C^\downarrow=S.

Its extent $S$ contains all slices admitting its pitch collection, and its intent $C$ contains all pitches shared by those slices. Equivalently, a nonempty concept describes a maximal rectangle $S\times C$ of incidences. Concepts are ordered by

(S,C)\leq(S',C')\iff S\subseteq S'\iff C\supseteq C'.

Increasing the extent weakens the common pitch requirement. The full concept poset is a lattice. For its relation to the topology of binary relations and applications to music, see Freund, Andreatta, and Giavitto.

For a poset $Q$, write $\Delta Q$ for its order complex: vertices are elements of $Q$, and simplices are nonempty finite chains. Thus a simplex of the concept order complex is a chain of concepts, not simply a concept. Closed extents alone need not be closed under taking subsets and generally do not form a simplicial complex on $T$.

The total weight Dowker filtration

For a nonempty set of slices, define its common-pitch count

w_T(S)=|S^\uparrow|.

For each positive integer $k$, define

K_k^{M,U}=\{\varnothing\neq S\subseteq T:|S^\uparrow|\geq k\}.

Suppress $M,U$ when the configuration and lens are fixed. We list only nonempty simplices throughout; adjoining the empty face is an equivalent convention. Since $S'\subseteq S$ implies $(S')^\uparrow\supseteq S^\uparrow$, each $K_k$ is a simplicial complex. Its vertices are precisely the points $t\in T$ with at least $k$ available pitch labels. Furthermore,

K_{k+1}\subseteq K_k,\qquad K_1=D(R).

Here $D(R)$ is the ordinary Dowker complex. This decreasing sequence is the total-weight Dowker filtration, indexed by $\mathbb N^{\mathrm{op}}$. It is the common-witness filtration studied by Hellmer and Spaliński.

A vertex in $K_k$ has a palette of at least $k$ pitches. An edge represents two slices sharing at least $k$ pitches. A higher simplex requires the same $k$ pitches to be shared by all its vertices. Pairwise intersections alone do not determine these higher simplices.

The vertices are points of the affine Boolean scheme $T$. The simplex rule adds the labelled harmonic incidence data to that discrete space. Arbitrary pitch relabelling leaves the complex unchanged, so rational interval heights, pitch distances, and perceived dissonance are not encoded by this filtration alone.

Retraction to concepts

Let $P(K_k)$ be the poset of nonempty faces of $K_k$, ordered by inclusion. Its order complex is the barycentric subdivision $\mathrm{sd}\,K_k$. The Galois closure

c:P(K_k)\longrightarrow P(K_k),\qquad c(S)=S^{\uparrow\downarrow}

is well-defined because

c(S)^\uparrow=S^\uparrow.

It is order-preserving, satisfies $S\subseteq c(S)$, and is idempotent. The closure-operator theorem therefore gives a strong deformation retract, after geometric realization, of $\mathrm{sd}\,K_k$ onto the order complex of its fixed points. See Björner, Corollary 10.12.

Those fixed points are the extents of concepts satisfying $S\neq\varnothing$ and $|C|\geq k$. The same map $c$ restricts to every filtration level, and the order homotopy from the identity to $c$ does too. Consequently the retractions preserve the persistence module, not just the homotopy type at each individual level.

Retain exactly these eligible concepts. The entire concept lattice has a least and a greatest element, so its order complex is contractible. Removing concepts with empty extent or insufficient intent is essential; one should not indiscriminately add or delete the lattice extrema.

The opposite filtration and filtered duality

Interchanging slices and pitches gives another decreasing filtration:

L_k=\{\varnothing\neq C\subseteq\Sigma:|C^\downarrow|\geq k\}.

Here a simplex is a pitch collection available together in at least $k$ distinct lens classes. Ordinary Dowker duality gives $K_1\simeq L_1$, but the two total-weight filtrations need not have matching homotopy types or barcodes.

For example, let one slice admit two pitches. Then $K_2$ is a point, whereas $L_2$ is empty because there is only one slice. This is a valid harmonic example: take a one-bit input, co-mute it, and assign its two states different pitches.

The filtered counterpart of $K_k$ on the pitch side is instead

D_k=\Delta\{C\in L_1:|C|\geq k\}.

The braces describe a poset ordered by inclusion, rather than a complex on the original pitch vertices. A simplex of $D_k$ is a chain

C_0\subsetneq\cdots\subsetneq C_r,\qquad |C_0|\geq k.

Thus $D_k$ is a subcomplex of $\mathrm{sd}\,L_1$. Filtered Dowker duality gives a compatible equivalence $K_\bullet\simeq D_\bullet$: common-witness count on one side corresponds to face cardinality in the subdivided opposite complex. See the filtered duality result in Hellmer and Spaliński.

For this finite relation, the closures give a direct proof. The face poset of $K_k$ retracts to closed extents with at least $k$ common pitches. The poset defining $D_k$ retracts under $C\mapsto C^{\downarrow\uparrow}$ to closed intents of size at least $k$ with nonempty extent. Up and down identify these two fixed-point posets in reverse order, and reversing chains identifies their order complexes. All these operations respect the threshold inclusions.

A symmetric bifiltration of concepts

Both common-witness filtrations can be retained in one object. For $a,b\geq1$, take the full subposet

\mathcal C_{a,b}(R)
=\{(S,C)\text{ a concept}:|S|\geq a,\ |C|\geq b\}

and define $B_{a,b}(R)=\Delta\mathcal C_{a,b}(R)$. Increasing either threshold removes concepts and gives an inclusion into the earlier order complex. The closure retractions above yield compatible equivalences

K_b\simeq B_{1,b}(R),\qquad L_a\simeq B_{a,1}(R).

Transposing $R$ sends a concept $(S,C)$ to $(C,S)$ and reverses its order. Consequently there is a simplicial isomorphism, compatible with both parameters,

B_{a,b}(R)\cong B_{b,a}(R^\top).

This construction follows directly from the Galois closures. It packages the two possibly different barcodes as boundary slices of a symmetric bifiltration. For a related treatment combining row and column total weights using extended Dowker duality, see Vaupel and Dunn.

Barcode conventions

Choose a coefficient field $\Bbbk$, for example $\mathbb F_2$. This choice is independent of the Boolean coefficient field used to describe availability. The inclusions give a persistence module

\cdots\longrightarrow H_q(K_{k+1};\Bbbk)
\longrightarrow H_q(K_k;\Bbbk)\longrightarrow\cdots
\longrightarrow H_q(K_1;\Bbbk).

All spaces are finite. Reversing the threshold index makes this an ordinary finite increasing filtration, whose persistence module decomposes into intervals. The intervals, with multiplicity, form its degree-$q$ barcode.

For an explicit indexing convention, put $N=|\Sigma|$ and

\mathcal K_r=K_{N+1-r},\qquad r=0,1,\ldots,N.

Then $\mathcal K_0=K_{N+1}$ is empty and $\mathcal K_N=K_1$ is the full Dowker complex. A nonempty simplex $S\in K_1$ enters at $r=N+1-|S^\uparrow|$. Its faces enter no later. Extend the filtration constantly for $r>N$ when using $\infty$ as the death endpoint for classes surviving the final threshold.

In this convention:

A bar records the survival of a homology class through inclusion maps. It is not itself a single pitch, a particular formal concept, or a unique harmonic explanation. Betti numbers at separate thresholds omit these maps and do not by themselves determine the barcode.

A worked barcode

Restrict the relation to three slices and three pitch labels with the following availability. The complexes in this example are built from this subrelation:

Slice $\alpha$ $\beta$ $\gamma$
$t_1$ available available  
$t_2$   available available
$t_3$ available   available

Each slice has two pitches. Every pair of slices shares exactly one pitch, and all three share none. Therefore:

Threshold Complex $\dim H_0$ $\dim H_1$
$k\geq3$ Empty 0 0
$k=2$ Three isolated vertices 3 0
$k=1$ Triangle boundary with no filled triangle 1 1

These are ordinary homology dimensions over $\mathbb F_2$. Here $N=3$, so $\mathcal K_0$ and $\mathcal K_1$ are empty, $\mathcal K_2$ consists of three vertices, and $\mathcal K_3$ is the triangle boundary. The barcodes, written as multisets, are

\begin{aligned}
\mathcal B_0&=\{[2,3),[2,3),[2,\infty)\},\\
\mathcal B_1&=\{[3,\infty)\}.
\end{aligned}

Three components appear when the shared-pitch threshold reaches two. They merge into one when it reaches one, where an unfilled cycle also appears. Infinite endpoints mean survival through the last threshold under the stated constant extension; they make no claim about elapsed musical time.

Adding a pitch available at every slice makes $K_1$ a full simplex, so its higher homology vanishes. The higher-threshold complexes may still retain structure. A Betti number at $k=1$ alone can therefore hide variation that the filtration reveals.

What to retain in an analysis

For reproducible barcodes, retain the accepted configuration, the lens, the pitch identity convention, the labelled relation, the coefficient field, and the threshold direction. Counts on $T=X/{\sim_U}$ count lens classes equally; they do not weight classes by how often playback visits them.

The two natural outputs are a slice barcode from $K_\bullet$, counting common pitches, and a pitch barcode from $L_\bullet$, counting common slices. They are complementary measurements. A matching dual computation uses $K_\bullet$ and $D_\bullet$ instead. The concept bifiltration supports both views, but its two-parameter persistence module generally has no complete ordinary interval-barcode decomposition. Restricting it to a monotone path along which the complexes grow gives a one-parameter barcode.

Practical computations can intersect bitsets of available pitch labels to obtain $S^\uparrow$ and its cardinality. The concept retraction provides an alternative model, although neither the number of concepts nor the number of simplices is guaranteed to be small. To compute $H_q$ correctly, include $(q+1)$-simplices as well: they can fill $q$-cycles. Preserve distinct pitch labels even when their availability columns coincide. When compressing equal columns to compute common-pitch counts, retain their multiplicities as weights.

Chronological persistence requires a path $t_0,t_1,\ldots$ through $T$, with repeated visits retained. If $P_i=F_{t_i}^M(U)$, the inclusions

\Bbbk[P_0]\longleftarrow\Bbbk[P_0\cap P_1]
\longrightarrow\Bbbk[P_1]\longleftarrow\cdots

form a zigzag, where $\Bbbk[P_i]$ is the vector space with basis $P_i$. For these discrete labelled sets, its intervals track uninterrupted runs of individual pitch availability. This uses a different parameter from the shared-pitch threshold and does not describe the pitches actually selected by the voices. See Carlsson and de Silva on zigzag persistence.