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Part 1· Chapter 4

Fruit

Prerequisites: Chapter 3 (Relational Field).


4.1 Induced Weighted Graph

The scalar part WtW_t of the relational field defines a weighted graph. The definition of a fruit depends only on this graph (it is gauge-independent).

Definition 4.1 (Induced weighted graph). Gt:=(V,Et,Wt)\mathcal{G}_t := (V,\,E_t,\,W_t) where Et:={(i,j):Wt(i,j)>0,  ij}E_t:=\{(i,j):W_t(i,j)>0,\;i\ne j\}.


4.2 Volume, Cut, Conductance

Definition 4.2 (Graph quantities). For non-empty SVS\subset V:

  • Volume: volt(S):=iSdt(i)=iSjVWt(i,j).\displaystyle\mathrm{vol}_t(S):=\sum_{i\in S}d_t(i)=\sum_{i\in S}\sum_{j\in V}W_t(i,j).

  • Cut: cutt(S,Sˉ):=iSjVSWt(i,j).\displaystyle\mathrm{cut}_t(S,\bar S):=\sum_{i\in S}\sum_{j\in V\setminus S}W_t(i,j).

  • Conductance (Cheeger ratio): ϕt(S):=cutt(S,Sˉ)min{volt(S),volt(Sˉ)}.\displaystyle\phi_t(S):=\frac{\mathrm{cut}_t(S,\bar S)}{\min\{\mathrm{vol}_t(S),\,\mathrm{vol}_t(\bar S)\}}.


4.3 Properties of Conductance

Lemma 4.3 (Basic properties).

(i) Symmetry: ϕt(S)=ϕt(Sˉ)\phi_t(S)=\phi_t(\bar S).

(ii) Non-negativity: ϕt(S)0\phi_t(S)\ge0; equality iff SS is an isolated component.

(iii) Upper bound: ϕt(S)1\phi_t(S)\le1.

(iv) Gauge invariance: ϕth(S)=ϕt(S)\phi_t^h(S)=\phi_t(S) for all hGh\in\mathcal{G}.

Proof. (i) cutt(S,Sˉ)=cutt(Sˉ,S)\mathrm{cut}_t(S,\bar S)=\mathrm{cut}_t(\bar S,S) by symmetry of WtW_t; the min\min in the denominator is symmetric.

(ii) The numerator is a sum of non-negative terms; it vanishes iff Wt(i,j)=0W_t(i,j)=0 for all iS,jSi\in S,\,j\notin S.

(iii) Volume decomposition: volt(S)=iSjSWt(i,j)+cutt(S,Sˉ)\mathrm{vol}_t(S)=\sum_{i\in S}\sum_{j\in S}W_t(i,j)+\mathrm{cut}_t(S,\bar S), so cutt(S,Sˉ)volt(S)\mathrm{cut}_t(S,\bar S)\le\mathrm{vol}_t(S); similarly for Sˉ\bar S.

(iv) By Lemma 3.5, WtW_t and dtd_t are gauge-invariant, hence so is ϕt\phi_t. \square


4.4 Definition of a Fruit

Axiom 4.4 (Fruit threshold). Fix a constant θ(0,1)\theta\in(0,1), the "cohesion standard".

Smaller θ\theta demands stronger cohesion:

  • θ=0.01\theta=0.01: only strongly cohesive fruits.
  • θ=0.5\theta=0.5: even weakly cohesive sets count.

Definition 4.5 (Fruit). FVF\subset V is a fruit at time tt if:

(F1) Non-trivial minority: 0<volt(F)12volt(V)0<\mathrm{vol}_t(F)\le\tfrac{1}{2}\mathrm{vol}_t(V).

(F2) Low conductance: ϕt(F)θ\phi_t(F)\le\theta.

Definition 4.6 (Fruit set). Ft:={FV:F is a fruit at time t}.\mathfrak{F}_t := \{F\subset V : F\text{ is a fruit at time }t\}.


4.5 Basic Properties of Fruits

Proposition 4.7 (Properties).

(i) Ft2n|\mathfrak{F}_t|\le 2^n (finite).

(ii) Ft\mathfrak{F}_t is gauge-invariant (Lemma 4.3(iv)).

(iii) VFtV\notin\mathfrak{F}_t, Ft\emptyset\notin\mathfrak{F}_t (by (F1)).

(iv) Fruits may overlap: F1F2F_1\cap F_2\ne\emptyset is possible.

(v) FFtF\in\mathfrak{F}_t does not imply FˉFt\bar F\in\mathfrak{F}_t.

Proof. (i)--(iii) immediate. (iv) Consider three dense clusters with pairwise overlap. (v) If volt(Fˉ)>12volt(V)\mathrm{vol}_t(\bar F)>\frac{1}{2}\mathrm{vol}_t(V), then Fˉ\bar F violates (F1). \square


4.6 Connectivity of Fruits

Definition 4.8 (Minimal fruit). A fruit FF is minimal if no proper non-empty subset of FF is itself a fruit.

Lemma 4.9 (Connectivity of minimal fruits). [Corrected] Every minimal fruit is connected in the induced subgraph Gt[F]\mathcal{G}_t[F].

Proof. Suppose FF is a minimal fruit and F=F1F2F=F_1\sqcup F_2 is a non-trivial partition with no edges between F1F_1 and F2F_2 inside FF. We derive a contradiction.

Step 1. Since there are no internal edges between F1F_1 and F2F_2:

cutt(F,Fˉ)=cutt(F1,Fˉ)+cutt(F2,Fˉ)\mathrm{cut}_t(F,\bar F) = \mathrm{cut}_t(F_1,\bar F) + \mathrm{cut}_t(F_2,\bar F)

and in particular, for each component FkF_k (k=1,2k=1,2):

cutt(Fk,Fkˉ)=cutt(Fk,VFk)=cutt(Fk,Fˉ)+0\mathrm{cut}_t(F_k,\bar{F_k}) = \mathrm{cut}_t(F_k,V\setminus F_k) = \mathrm{cut}_t(F_k,\bar F) + 0

(the zero comes from no F1F_1--F2F_2 edges). So:

cutt(Fk,Fkˉ)=cutt(Fk,Fˉ).\mathrm{cut}_t(F_k,\bar{F_k}) = \mathrm{cut}_t(F_k,\bar F).

Step 2 (Both components satisfy (F2)). We show that both F1F_1 and F2F_2 satisfy the energy ratio condition (F2). From Theorem A (energy isolation), the internal energy of FF satisfies:

i,jFWt(i,j)(1θ)volt(F).\sum_{i,j\in F}W_t(i,j)\ge(1-\theta)\,\mathrm{vol}_t(F).

Since F1F_1 and F2F_2 are disconnected within FF, the internal energy of FF decomposes exactly:

i,jFWt(i,j)=i,jF1Wt(i,j)+i,jF2Wt(i,j).\sum_{i,j\in F}W_t(i,j) = \sum_{i,j\in F_1}W_t(i,j) + \sum_{i,j\in F_2}W_t(i,j).

The volume likewise decomposes: volt(F)=volt(F1)+volt(F2)\mathrm{vol}_t(F) = \mathrm{vol}_t(F_1) + \mathrm{vol}_t(F_2). We claim that for each k{1,2}k\in\{1,2\}:

i,jFkWt(i,j)volt(Fk)(1θ).\frac{\sum_{i,j\in F_k}W_t(i,j)}{\mathrm{vol}_t(F_k)} \ge (1-\theta).

Indeed, suppose for contradiction that one component, say F1F_1, has ratio <(1θ)<(1-\theta). Then:

i,jFWt(i,j)<(1θ)volt(F1)+volt(F2)(1θ)volt(F),\sum_{i,j\in F}W_t(i,j) < (1-\theta)\,\mathrm{vol}_t(F_1) + \mathrm{vol}_t(F_2) \le (1-\theta)\,\mathrm{vol}_t(F),

where the last inequality uses i,jF2Wt(i,j)volt(F2)\sum_{i,j\in F_2}W_t(i,j)\le\mathrm{vol}_t(F_2). This contradicts Theorem A. So both components satisfy (F2), giving for each kk:

cutt(Fk,Fkˉ)=volt(Fk)i,jFkWt(i,j)θvolt(Fk).\mathrm{cut}_t(F_k,\bar{F_k}) = \mathrm{vol}_t(F_k)-\sum_{i,j\in F_k}W_t(i,j) \le \theta\cdot\mathrm{vol}_t(F_k).

Step 3 (At least one component satisfies (F1)). Since volt(F)=volt(F1)+volt(F2)\mathrm{vol}_t(F)=\mathrm{vol}_t(F_1)+\mathrm{vol}_t(F_2) and both volumes are positive, at least one component---say F1F_1---satisfies volt(F1)12volt(F)12volt(V)\mathrm{vol}_t(F_1)\le\frac{1}{2}\mathrm{vol}_t(F)\le\frac{1}{2}\mathrm{vol}_t(V), which is condition (F1).

Conclusion. By Step 2, F1F_1 satisfies (F2). By Step 3, F1F_1 satisfies (F1). Therefore:

ϕt(F1)=cutt(F1,F1ˉ)volt(F1)θ.\phi_t(F_1)=\frac{\mathrm{cut}_t(F_1,\bar{F_1})}{\mathrm{vol}_t(F_1)}\le\theta.

So F1F_1 is a fruit---contradicting the minimality of FF. \square

Corollary 4.10 (Connectivity of general fruits). Every fruit contains a connected sub-fruit. In particular, every "meaningful" (minimal) fruit is connected.

Proof. Any fruit either is minimal (hence connected by Lemma 4.9) or contains a proper sub-fruit. Iterating produces a minimal sub-fruit, which is connected. \square


4.7 Spectral Characterisation

Definition 4.11 (Normalised Laplacian). Lt:=IDt1/2AtDt1/2\mathcal{L}_t := I - D_t^{-1/2}\,A_t\,D_t^{-1/2} where Dt=diag(dt(i))D_t=\mathrm{diag}(d_t(i)) and (At)ij=Wt(i,j)(A_t)_{ij}=W_t(i,j). Eigenvalues: 0=λ1λ2λn0=\lambda_1\le\lambda_2\le\cdots\le\lambda_n.

Discrete Cheeger Inequality

Theorem 4.12 (Discrete Cheeger inequality; Fact B.3). For the Cheeger constant ht:=minSVϕt(S)h_t:=\min_{\emptyset\ne S\subsetneq V}\phi_t(S): λ22    ht    2λ2.\frac{\lambda_2}{2}\;\le\;h_t\;\le\;\sqrt{2\lambda_2}.

Proof sketch.

Lower bound (λ22ht\lambda_2\le 2h_t). Use the variational characterisation of λ2\lambda_2 and test with the normalised indicator of any set SS:

fS(i)={volt(Sˉ)/volt(V)iS,volt(S)/volt(V)iS.f_S(i)=\begin{cases}\sqrt{\mathrm{vol}_t(\bar S)/\mathrm{vol}_t(V)}&i\in S,\\-\sqrt{\mathrm{vol}_t(S)/\mathrm{vol}_t(V)}&i\notin S.\end{cases}

Then fSDt1/21f_S\perp D_t^{1/2}\mathbf{1} and the Rayleigh quotient satisfies R(fS)2ϕt(S)R(f_S)\le 2\phi_t(S).

Upper bound (ht2λ2h_t\le\sqrt{2\lambda_2}). Sweep the level sets of the second eigenvector f2f_2 and apply the discrete coarea inequality (Alon--Milman). \square

Spectral Approximation

Corollary 4.13 (Spectral signature of fruits). If a fruit FF exists with ϕt(F)θ\phi_t(F)\le\theta, then λk2θ\lambda_k\le 2\theta for some kk, and the normalised indicator of FF is approximated to O(θ)O(\theta) accuracy by a linear combination of the first kk eigenvectors.

Proof sketch. The Rayleigh quotient of FF's indicator is 2θ\le 2\theta. By min-max, λk2θ\lambda_k\le 2\theta for some kk. Davis--Kahan's sinΘ\sin\Theta theorem (Fact B.4) bounds the angle. \square


4.8 Energy Isolation (Theorem A)

Theorem A (Energy isolation). For any fruit FFtF\in\mathfrak{F}_t: i,jFWt(i,j)volt(F)    1θ.\frac{\sum_{i,j\in F}W_t(i,j)}{\mathrm{vol}_t(F)}\;\ge\;1-\theta.

Proof.

Step 1. Volume decomposition:

volt(F)=i,jFWt(i,j)+cutt(F,Fˉ).\mathrm{vol}_t(F)=\sum_{i,j\in F}W_t(i,j)+\mathrm{cut}_t(F,\bar F).

Step 2. By (F2), ϕt(F)θ\phi_t(F)\le\theta. By (F1), volt(F)=min{volt(F),volt(Fˉ)}\mathrm{vol}_t(F)=\min\{\mathrm{vol}_t(F),\mathrm{vol}_t(\bar F)\}. Thus:

cutt(F,Fˉ)=ϕt(F)volt(F)θvolt(F).\mathrm{cut}_t(F,\bar F)=\phi_t(F)\cdot\mathrm{vol}_t(F)\le\theta\cdot\mathrm{vol}_t(F).

Step 3. i,jFWt(i,j)=volt(F)cutt(F,Fˉ)(1θ)volt(F)\displaystyle\sum_{i,j\in F}W_t(i,j)=\mathrm{vol}_t(F)-\mathrm{cut}_t(F,\bar F)\ge(1-\theta)\,\mathrm{vol}_t(F). Divide by volt(F)>0\mathrm{vol}_t(F)>0. \square

Sharpness. Equality holds when ϕt(F)=θ\phi_t(F)=\theta and volt(F)=12volt(V)\mathrm{vol}_t(F)=\frac{1}{2}\mathrm{vol}_t(V).


4.9 Metastability (Theorem D)

Definition 4.14 (Random walk). Transition matrix: Pt(i,j):=Wt(i,j)/dt(i)P_t(i,j):=W_t(i,j)/d_t(i). Lazy version: P~t:=12(I+Pt)\tilde P_t:=\frac{1}{2}(I+P_t).

Theorem D (Metastability). Let X0πFX_0\sim\pi_F (the stationary distribution restricted to FF). The escape time from FF under P~t\tilde P_t satisfies: E[Tesc(F)]    12θ.\mathbb{E}[T_{\mathrm{esc}}(F)]\;\ge\;\frac{1}{2\theta}.

Proof.

Step 1. Define the restricted sub-stochastic matrix PF(i,j):=Wt(i,j)/dt(i)P_F(i,j):=W_t(i,j)/d_t(i) for i,jFi,j\in F (zero otherwise). Row sums are 1rF,t(i)<11-r_{F,t}(i)<1 (leakage). The lazy version is P~F:=12(IF+PF)\tilde P_F:=\frac{1}{2}(I|_F+P_F).

Step 2. Let ΦF\Phi_F denote the conductance of P~F\tilde P_F viewed as a chain on FF with absorbing boundary. By the Sinclair--Jerrum bound (Fact B.6), the spectral gap satisfies γF2ΦF\gamma_F\le 2\Phi_F.

Step 3. The internal conductance ΦF\Phi_F is bounded by the external conductance: ΦFϕt(F)θ\Phi_F\le\phi_t(F)\le\theta. This is because any internal cut SFS\subsetneq F either has the same cut value as a cut of VV (contributing to ϕt(F)\phi_t(F)), or the absorbing boundary provides additional "leakage" but does not reduce conductance.

Step 4. For the lazy chain, the spectral gap is γ~F=γF/2θ\tilde\gamma_F=\gamma_F/2\le\theta.

Step 5. The expected absorption time (escape time) from the stationary distribution satisfies the standard bound (see Levin--Peres--Wilmer, Theorem 12.4):

EπF[Tesc]    12γ~F    12θ.\mathbb{E}_{\pi_F}[T_{\mathrm{esc}}]\;\ge\;\frac{1}{2\tilde\gamma_F}\;\ge\;\frac{1}{2\theta}.\qquad\square

Interpretation. A random walk starting inside a fruit remains trapped for Ω(1/θ)\Omega(1/\theta) steps. For θ=0.05\theta=0.05, the expected escape time is at least 10 steps.