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Proof of Survival Identity, Measurability, Event-Count Recursion, and Normalization of the Likelihood of a Causal Intensity

lemmalem:record-likelihood-normalization-2026a
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Reason: First version: survival identity via integration by parts and the exponential series; cellwise measurability; event-count recursion by appending an event and Tonelli on the ordered simplex; normalization by telescoping.

Proof

Preliminaries. Write λ[0,T]\lambda_{[0,T]} for the restricted Lebesgue measure on [0,T][0,T] (claim 1 of Restricted Lebesgue Measure and Integral Toolkit on a Compact Interval); it is finite. Integrals of nonnegative functions are handled with claim 1 of Linearity and Monotonicity of the Lebesgue Integral (additivity, positive homogeneity, monotonicity) and integrable functions with claim 2 there; bounded measurable functions on a finite measure space are integrable. Sums, products and pointwise limits of measurable real functions are measurable by Arithmetic, Absolute Values, and Pointwise Limits of Measurable Real-Valued Functions, continuous functions on compact intervals by claim 4 of Measurability of Countable Suprema, Bounded Pointwise Limits, Monotone Functions, and Continuous Functions, and compositions with sequentially continuous maps (such as exp\exp and finite products) by Sequentially Continuous Functions of Measurable Euclidean Maps are Measurable. By Basic Properties of the Exponential Function, exp\exp is positive, increasing, and exp(0)=1\exp(0)=1, so exp(x)1\exp(-x)\le1 for x0x\ge0; and exp(u)=m0um/m!\exp(u)=\sum_{m\ge0}u^{m}/m! by The Real Exponential Function, the series converging absolutely. Indicators 1[0,s]\mathbf{1}_{[0,s]}, 1(a,b]\mathbf{1}_{(a,b]} are measurable (their sets are Borel), and 1(a,b]=1[0,b]1[0,a]\mathbf{1}_{(a,b]}=\mathbf{1}_{[0,b]}-\mathbf{1}_{[0,a]} for 0abT0\le a\le b\le T.

Step 1: claim 1. The function μ\mu is measurable and bounded, hence integrable over [0,T][0,T], so part (i) of Integration by Parts for Indefinite Lebesgue Integrals on a Compact Interval with f=μf=\mu, u0=0u_0=0 shows that sMs=[0,s]μ(u)dus\mapsto M_s=\int_{[0,s]}\mu(u)\,du is continuous on [0,T][0,T]; also 0MsμˉT0\le M_s\le\bar\mu T by monotonicity, and MM is measurable on [0,T][0,T] as a continuous function.

(a) Powers of MM. We show by induction on m0m\ge0 that for every s[0,T]s\in[0,T],

Msm+1=(m+1)[0,s]μ(u)Mumdu.(1.1)M_s^{m+1}=(m+1)\int_{[0,s]}\mu(u)M_u^{m}\,du .\tag{1.1}

For m=0m=0 this is the definition of MsM_s. Let m1m\ge1 and assume (1.1) for m1m-1, i.e. Mtm=m[0,t]μMm1M_t^{m}=m\int_{[0,t]}\mu M^{m-1} for every t[0,T]t\in[0,T]. Fix s(0,T]s\in(0,T] and apply part (ii) of Integration by Parts for Indefinite Lebesgue Integrals on a Compact Interval on the interval [0,s][0,s] (the lemma holds for every positive horizon; the integrals [0,t]\int_{[0,t]} for tst\le s are the same whether formed on [0,s][0,s] or on [0,T][0,T], both being R\int_{\mathbb{R}} of the same zero extension by claim 2 of Restricted Lebesgue Measure and Integral Toolkit on a Compact Interval) with f=μf=\mu, u0=0u_0=0, so that ut=Mtu_t=M_t, and with g=mμMm1g=m\mu M^{m-1}, v0=0v_0=0, so that vt=Mtmv_t=M_t^{m} by the induction hypothesis; gg is measurable and bounded by mμˉ(μˉT)m1m\bar\mu(\bar\mu T)^{m-1}, hence integrable. The conclusion reads

MsMsm=[0,s](μ(u)Mum+Mumμ(u)Mum1)du=(m+1)[0,s]μ(u)Mumdu,M_s\,M_s^{m}=\int_{[0,s]}\bigl(\mu(u)M_u^{m}+M_u\,m\,\mu(u)M_u^{m-1}\bigr)\,du=(m+1)\int_{[0,s]}\mu(u)M_u^{m}\,du ,

which is (1.1) for mm at ss; at s=0s=0 both sides of (1.1) vanish. Consequently, for 0abT0\le a\le b\le T, by 1(a,b]=1[0,b]1[0,a]\mathbf{1}_{(a,b]}=\mathbf{1}_{[0,b]}-\mathbf{1}_{[0,a]} and linearity,

(a,b]μ(u)Mumdu=Mbm+1Mam+1m+1.(1.2)\int_{(a,b]}\mu(u)M_u^{m}\,du=\frac{M_b^{m+1}-M_a^{m+1}}{m+1}.\tag{1.2}

(b) The series. For u[0,T]u\in[0,T] put Sn(u)=m=0n(1)mm!μ(u)MumS_n(u)=\sum_{m=0}^{n}\frac{(-1)^{m}}{m!}\mu(u)M_u^{m}. Each SnS_n is measurable, Sn(u)μ(u)exp(Mu)S_n(u)\to\mu(u)\exp(-M_u) as nn\to\infty by the series for exp(Mu)\exp(-M_u), and Sn(u)μˉm0(μˉT)m/m!=μˉexp(μˉT)|S_n(u)|\le\bar\mu\sum_{m\ge0}(\bar\mu T)^{m}/m!=\bar\mu\exp(\bar\mu T), a constant, integrable on the finite measure space ([0,T],λ[0,T])([0,T],\lambda_{[0,T]}). In particular uμ(u)exp(Mu)u\mapsto\mu(u)\exp(-M_u) is measurable (a pointwise limit), and by Dominated Convergence Theorem and (1.2),

(a,b]μ(u)exp(Mu)du=limn(a,b]Sn(u)du=limnm=0n(1)m(m+1)!(Mbm+1Mam+1).\int_{(a,b]}\mu(u)\exp(-M_u)\,du=\lim_{n\to\infty}\int_{(a,b]}S_n(u)\,du=\lim_{n\to\infty}\sum_{m=0}^{n}\frac{(-1)^{m}}{(m+1)!}\bigl(M_b^{m+1}-M_a^{m+1}\bigr).

For real xx, m=0n(1)mxm+1(m+1)!=j=1n+1(x)jj!(exp(x)1)=1exp(x)\sum_{m=0}^{n}\frac{(-1)^{m}x^{m+1}}{(m+1)!}=-\sum_{j=1}^{n+1}\frac{(-x)^{j}}{j!}\to-(\exp(-x)-1)=1-\exp(-x) by the series for exp(x)\exp(-x). Applying this with x=Mbx=M_b and x=Max=M_a and subtracting (limits of sums, Arithmetic of Limits of Real Sequences) gives (a,b]μ(u)exp(Mu)du=(1exp(Mb))(1exp(Ma))=exp(Ma)exp(Mb)\int_{(a,b]}\mu(u)\exp(-M_u)\,du=(1-\exp(-M_b))-(1-\exp(-M_a))=\exp(-M_a)-\exp(-M_b), which is claim 1.

Step 2: claim 2. Cells and transports. For k1k\ge1 and vVkv\in V^k let χk,v:Dk(T)Ck,v\chi_{k,v}:D_k(T)\to C_{k,v}, χk,v(t)=(k,t,v)\chi_{k,v}(t)=(k,t,v), be the bijection along which the cell Ck,vC_{k,v} carries the transport of the restriction of (Rk,Bk,λk)(\mathbb{R}^k,\mathcal{B}_k,\lambda_k) to Dk(T)D_k(T) (The Observation Record Space, with Bk\mathcal{B}_k and λk\lambda_k as in Finite Products of Lebesgue Measure and Coordinate Integration on Rl\mathbb{R}^l); write Dk\mathcal{D}_k for the σ\sigma-algebra of that restriction (the Borel subsets of Dk(T)D_k(T), claim 1 of Assembly of Measure Spaces: Restriction, Transport, One-Point Spaces, and Countable Disjoint Unions) and λDk\lambda_{D_k} for its measure, which is finite with λDk(Dk(T))=Tk/k!\lambda_{D_k}(D_k(T))=T^k/k! by The Ordered Time Simplex: Borel Measurability and Volume. By claims 2, 3 and 4 of Assembly of Measure Spaces: Restriction, Transport, One-Point Spaces, and Countable Disjoint Unions, a function h:R[0,]h:\mathbf{R}\to[0,\infty] is R\mathcal{R}-measurable if and only if hχk,vh\circ\chi_{k,v} is Dk\mathcal{D}_k-measurable for every k1k\ge1 and vVkv\in V^k (there is no condition on the one-point cell CC_\emptyset), and then, by claim 4(c) there and the change of variables of claim 2 of Image Measures, Measures with Densities, and Change of Variables along the transport,

Rhdρ=h(r)+k1vVkDk(T)hχk,vdλDk,R(k)hdρ=vVkDk(T)hχk,vdλDk (k1),R(0)hdρ=h(r),(2.1)\int_{\mathbf{R}}h\,d\rho=h(r_\emptyset)+\sum_{k\ge1}\sum_{v\in V^k}\int_{D_k(T)}h\circ\chi_{k,v}\,d\lambda_{D_k},\qquad \int_{\mathbf{R}^{(k)}}h\,d\rho=\sum_{v\in V^k}\int_{D_k(T)}h\circ\chi_{k,v}\,d\lambda_{D_k}\ (k\ge1),\qquad\int_{\mathbf{R}^{(0)}}h\,d\rho=h(r_\emptyset),\tag{2.1}

the first sum being over the countable cell family in the finite-partial-sum sense of that lemma (the second and third identities follow from the first applied to h1R(k)h\mathbf{1}_{\mathbf{R}^{(k)}}, whose restrictions to the other cells vanish). Moreover, by claim 1 of Assembly of Measure Spaces: Restriction, Transport, One-Point Spaces, and Countable Disjoint Unions, Dk(T)hχk,vdλDk=Rkhχk,v~dλk\int_{D_k(T)}h\circ\chi_{k,v}\,d\lambda_{D_k}=\int_{\mathbb{R}^k}\widetilde{h\circ\chi_{k,v}}\,d\lambda_k with  ~\widetilde{\ } the zero extension.

Measurability on a cell. Fix k1k\ge1, vVkv\in V^k, write χ=χk,v\chi=\chi_{k,v}, and let Ξ:[0,T]×Dk(T)[0,T]×R\Xi:[0,T]\times D_k(T)\to[0,T]\times\mathbf{R}, Ξ(s,t)=(s,χ(t))\Xi(s,t)=(s,\chi(t)). The trace on [0,T]×Dk(T)[0,T]\times D_k(T) of every set in B1+k\mathcal{B}_{1+k} belongs to the product σ\sigma-algebra B[0,T]Dk\mathcal{B}_{[0,T]}\otimes\mathcal{D}_k: the trace of a Borel rectangle A1×A2××A1+kA_1\times A_2\times\dots\times A_{1+k} is (A1[0,T])×((A2××A1+k)Dk(T))(A_1\cap[0,T])\times\bigl((A_2\times\dots\times A_{1+k})\cap D_k(T)\bigr), a measurable rectangle (the second factor being the trace on Dk(T)D_k(T) of a member of Bk\mathcal{B}_k), and the sets in B1+k\mathcal{B}_{1+k} whose trace lies in the product σ\sigma-algebra form a σ\sigma-algebra containing the Borel rectangles, which generate B1+k\mathcal{B}_{1+k} (claim 1 of Finite Products of Lebesgue Measure and Coordinate Integration on Rl\mathbb{R}^l). The map Ξ\Xi is measurable with respect to B[0,T]Dk\mathcal{B}_{[0,T]}\otimes\mathcal{D}_k and B[0,T]R\mathcal{B}_{[0,T]}\otimes\mathcal{R}: the preimage of a rectangle A×BA\times B (AB[0,T]A\in\mathcal{B}_{[0,T]}, BRB\in\mathcal{R}) is A×χ1(BCk,v)A\times\chi^{-1}(B\cap C_{k,v}), and BCk,vB\cap C_{k,v} belongs to the cell σ\sigma-algebra (claim 4(a) of Assembly of Measure Spaces: Restriction, Transport, One-Point Spaces, and Countable Disjoint Unions), whose members are the images χ(E)\chi(E), EDkE\in\mathcal{D}_k (claim 2 there); rectangles generate the product σ\sigma-algebra, so the generator criterion of Measurable Function and Real-Valued Measurable Function applies. Hence, for every υV\upsilon\in V, (s,t)λsυ(χ(t))=λυΞ(s,t)(s,t)\mapsto\lambda^\upsilon_s(\chi(t))=\lambda^\upsilon\circ\Xi(s,t) is B[0,T]Dk\mathcal{B}_{[0,T]}\otimes\mathcal{D}_k-measurable by condition (i) of Causal Intensity on the Observation Record Space, and so is (s,t)λstot(χ(t))(s,t)\mapsto\lambda^{\mathrm{tot}}_s(\chi(t)). Consequently: (a) for each iki\le k, tλtivi(χ(t))t\mapsto\lambda^{v_i}_{t_i}(\chi(t)) is Dk\mathcal{D}_k-measurable, being the composition of the previous map with t(ti,t)t\mapsto(t_i,t), which is measurable from Dk\mathcal{D}_k to B[0,T]Dk\mathcal{B}_{[0,T]}\otimes\mathcal{D}_k by the generator criterion of Measurable Function and Real-Valued Measurable Function, the preimage of a rectangle A×BA\times B being {tB:tiA}Dk\{t\in B:t_i\in A\}\in\mathcal{D}_k (the coordinate projection ttit\mapsto t_i is measurable by claim 1 of The Borel Sigma-Algebra of a Euclidean Space as a Product, and Measurability of Projections, Sequentially Continuous Maps, and Open and Closed Sets); (b) the function (s,t)1{stk}λstot(χ(t))(s,t)\mapsto\mathbf{1}\{s\le t_k\}\lambda^{\mathrm{tot}}_s(\chi(t)) is jointly measurable (the set {(s,t):stk}\{(s,t):s\le t_k\} is closed in R1+k\mathbb{R}^{1+k}, hence Borel by claim 4 of The Borel Sigma-Algebra of a Euclidean Space as a Product, and Measurability of Projections, Sequentially Continuous Maps, and Open and Closed Sets), so by the Tonelli theorem (Tonelli and Fubini Theorems, for the finite measures λ[0,T]\lambda_{[0,T]} and λDk\lambda_{D_k}) the map tΛtk(χ(t))=[0,T]1{stk}λstot(χ(t))dst\mapsto\Lambda_{t_k}(\chi(t))=\int_{[0,T]}\mathbf{1}\{s\le t_k\}\lambda^{\mathrm{tot}}_s(\chi(t))\,ds is Dk\mathcal{D}_k-measurable, and likewise tΛs(χ(t))t\mapsto\Lambda_s(\chi(t)) for every fixed s[0,T]s\in[0,T] (with the Borel set {(u,t):us}\{(u,t):u\le s\} in place of {(u,t):utk}\{(u,t):u\le t_k\}), in particular tΛT(χ(t))t\mapsto\Lambda_T(\chi(t)); as Λs(r)\Lambda_s(r_\emptyset) imposes no condition, rΛs(r)r\mapsto\Lambda_s(r) is R\mathcal{R}-measurable for every ss. Therefore qχ=(ikλtiviχ)exp(Λtkχ)q\circ\chi=\bigl(\prod_{i\le k}\lambda^{v_i}_{t_i}\circ\chi\bigr)\exp(-\Lambda_{t_k}\circ\chi) and λχ=(ikλtiviχ)exp(ΛTχ)\ell_\lambda\circ\chi=\bigl(\prod_{i\le k}\lambda^{v_i}_{t_i}\circ\chi\bigr)\exp(-\Lambda_T\circ\chi) are Dk\mathcal{D}_k-measurable, and qq, λ\ell_\lambda are R\mathcal{R}-measurable.

Bounds. For r=(k,t,v)R(k)r=(k,t,v)\in\mathbf{R}^{(k)}: each factor λtivi(r)\lambda^{v_i}_{t_i}(r) lies in [0,λˉ][0,\bar\lambda] and exp(Λtk(r))1\exp(-\Lambda_{t_k}(r))\le1, so 0q(r)λˉk0\le q(r)\le\bar\lambda^k. Since 1[0,T]=1[0,tk]+1(tk,T]\mathbf{1}_{[0,T]}=\mathbf{1}_{[0,t_k]}+\mathbf{1}_{(t_k,T]} and λtot0\lambda^{\mathrm{tot}}\ge0, linearity gives ΛT(r)=Λtk(r)+(tk,T]λutot(r)duΛtk(r)\Lambda_T(r)=\Lambda_{t_k}(r)+\int_{(t_k,T]}\lambda^{\mathrm{tot}}_u(r)\,du\ge\Lambda_{t_k}(r), and the functional equation of exp\exp (claim 1 of Basic Properties of the Exponential Function) gives λ(r)=q(r)exp((ΛT(r)Λtk(r)))q(r)\ell_\lambda(r)=q(r)\exp(-(\Lambda_T(r)-\Lambda_{t_k}(r)))\le q(r). Finally, by (2.1) and monotonicity, QnvVnλˉnλDn(Dn(T))=l~nλˉnTn/n!Q_n\le\sum_{v\in V^n}\bar\lambda^n\lambda_{D_n}(D_n(T))=\tilde{l}^n\bar\lambda^nT^n/n! for n1n\ge1 (VnV^n having l~n\tilde{l}^n members), and Q0=q(r)=1Q_0=q(r_\emptyset)=1.

Step 3: claim 3. Fix n0n\ge0 and r=(n,t,v)R(n)r=(n,t,v)\in\mathbf{R}^{(n)} (with t0=0t_0=0 and empty tuples when n=0n=0). For s(tn,T]s\in(t_n,T] and vVv'\in V define the appended record

r\sqcup(s,v')=\bigl(n+1,\ (t_1,\dots,t_n,s),\ (v_1,\dots,v_n,v')\bigr)\in\mathbf{R}^{(n)}+1)},

a record since 0<t1<<tn<sT0<t_1<\dots<t_n<s\le T. Causality. For u[0,s]u\in[0,s] the strict prefix maps satisfy πu(r(s,v))=πu(r)\pi_{u-}(r\sqcup(s,v'))=\pi_{u-}(r): both keep exactly the events of rr with time <u<u, the appended time sus\ge u not being <u<u. Condition (ii) of Causal Intensity on the Observation Record Space therefore gives λuυ(r(s,v))=λuυ(r)\lambda^\upsilon_u(r\sqcup(s,v'))=\lambda^\upsilon_u(r) for all u[0,s]u\in[0,s] and υV\upsilon\in V. In particular λtivi(r(s,v))=λtivi(r)\lambda^{v_i}_{t_i}(r\sqcup(s,v'))=\lambda^{v_i}_{t_i}(r) for ini\le n (as ti<st_i<s), λsv(r(s,v))=λsv(r)\lambda^{v'}_s(r\sqcup(s,v'))=\lambda^{v'}_s(r), and Λs(r(s,v))=[0,s]λutot(r(s,v))du=Λs(r)\Lambda_s(r\sqcup(s,v'))=\int_{[0,s]}\lambda^{\mathrm{tot}}_u(r\sqcup(s,v'))\,du=\Lambda_s(r). With P(r)=inλtivi(r)P(r)=\prod_{i\le n}\lambda^{v_i}_{t_i}(r) this yields

q(r(s,v))=P(r)λsv(r)exp(Λs(r)),vVq(r(s,v))=P(r)λstot(r)exp(Λs(r))(s(tn,T]).q\bigl(r\sqcup(s,v')\bigr)=P(r)\,\lambda^{v'}_s(r)\exp(-\Lambda_s(r)),\qquad \sum_{v'\in V}q\bigl(r\sqcup(s,v')\bigr)=P(r)\,\lambda^{\mathrm{tot}}_s(r)\exp(-\Lambda_s(r))\qquad(s\in(t_n,T]).

Applying claim 1 with μ=λtot(r)\mu=\lambda^{\mathrm{tot}}_\cdot(r) (measurable and bounded by l~λˉ\tilde{l}\bar\lambda, as noted in Likelihood of a Causal Intensity on the Observation Record Space), M=Λ(r)M=\Lambda_\cdot(r), a=tna=t_n and b=Tb=T, and using λ(r)=P(r)exp(ΛT(r))\ell_\lambda(r)=P(r)\exp(-\Lambda_T(r)) and q(r)=P(r)exp(Λtn(r))q(r)=P(r)\exp(-\Lambda_{t_n}(r)),

vV(tn,T]q(r(s,v))ds=P(r)(exp(Λtn(r))exp(ΛT(r)))=q(r)λ(r).(3.1)\sum_{v'\in V}\int_{(t_n,T]}q\bigl(r\sqcup(s,v')\bigr)\,ds=P(r)\bigl(\exp(-\Lambda_{t_n}(r))-\exp(-\Lambda_T(r))\bigr)=q(r)-\ell_\lambda(r).\tag{3.1}

Integration over R(n)\mathbf{R}^{(n)}. Fix vVnv\in V^n and vVv'\in V and let q~\tilde q be the zero extension to Rn+1\mathbb{R}^{n+1} of qχn+1,(v,v)q\circ\chi_{n+1,(v,v')}, measurable by Step 2 and claim 1 of Assembly of Measure Spaces: Restriction, Transport, One-Point Spaces, and Countable Disjoint Unions. Under the identification Rn+1=Rn×R\mathbb{R}^{n+1}=\mathbb{R}^n\times\mathbb{R} of Finite Products of Lebesgue Measure and Coordinate Integration on Rl\mathbb{R}^l, λn+1=λnλ\lambda_{n+1}=\lambda_n\otimes\lambda and 1Dn+1(T)(t,s)=1Dn(T)(t)1(tn,T](s)\mathbf{1}_{D_{n+1}(T)}(t,s)=\mathbf{1}_{D_n(T)}(t)\mathbf{1}_{(t_n,T]}(s) (for n=0n=0 read R0×R\mathbb{R}^0\times\mathbb{R} as R\mathbb{R}, 1D0(T)=1\mathbf{1}_{D_0(T)}=1, t0=0t_0=0, and D1(T)=(0,T]D_1(T)=(0,T]), while q(r(s,v))=q~(t,s)q(r\sqcup(s,v'))=\tilde q(t,s) for tDn(T)t\in D_n(T), s(tn,T]s\in(t_n,T]. The Tonelli theorem (Tonelli and Fubini Theorems) for λnλ\lambda_n\otimes\lambda applied to the nonnegative measurable function 1Dn+1(T)q~\mathbf{1}_{D_{n+1}(T)}\tilde q gives

Rn1Dn(T)(t)(R1(tn,T](s)q~(t,s)λ(ds))λn(dt)=Rn+11Dn+1(T)q~dλn+1=Dn+1(T)qχn+1,(v,v)dλDn+1,\int_{\mathbb{R}^n}\mathbf{1}_{D_n(T)}(t)\Bigl(\int_{\mathbb{R}}\mathbf{1}_{(t_n,T]}(s)\,\tilde q(t,s)\,\lambda(ds)\Bigr)\lambda_n(dt)=\int_{\mathbb{R}^{n+1}}\mathbf{1}_{D_{n+1}(T)}\tilde q\,d\lambda_{n+1}=\int_{D_{n+1}(T)}q\circ\chi_{n+1,(v,v')}\,d\lambda_{D_{n+1}} ,

the inner integral being (tn,T]q(r(s,v))ds\int_{(t_n,T]}q(r\sqcup(s,v'))\,ds for r=χn,v(t)r=\chi_{n,v}(t) (claim 2 of Restricted Lebesgue Measure and Integral Toolkit on a Compact Interval, the integrand vanishing off [0,T][0,T]), and tt\mapsto (inner integral) being measurable by Tonelli. Summing over vVv'\in V and vVnv\in V^n, using (2.1) for nn and for n+1n+1 (the pairs (v,v)(v,v') running through Vn+1V^{n+1}), and inserting (3.1) pointwise on R(n)\mathbf{R}^{(n)}:

Qn+1=vVnDn(T)(vV(tn,T]q(χn,v(t)(s,v))ds)λDn(dt)=R(n)(qλ)dρ=QnR(n)λdρ,Q_{n+1}=\sum_{v\in V^n}\int_{D_n(T)}\Bigl(\sum_{v'\in V}\int_{(t_n,T]}q(\chi_{n,v}(t)\sqcup(s,v'))\,ds\Bigr)\lambda_{D_n}(dt)=\int_{\mathbf{R}^{(n)}}(q-\ell_\lambda)\,d\rho=Q_n-\int_{\mathbf{R}^{(n)}}\ell_\lambda\,d\rho ,

the last step by additivity, both qq and λ\ell_\lambda being nonnegative with finite integrals over R(n)\mathbf{R}^{(n)} (claim 2) and qλ0q-\ell_\lambda\ge0. For n=0n=0 the same computation reads Q1=vD1(T)qχ1,vdλD1=v(0,T]q(r(s,v))ds=q(r)λ(r)=Q0R(0)λdρQ_1=\sum_{v'}\int_{D_1(T)}q\circ\chi_{1,v'}\,d\lambda_{D_1}=\sum_{v'}\int_{(0,T]}q(r_\emptyset\sqcup(s,v'))\,ds=q(r_\emptyset)-\ell_\lambda(r_\emptyset)=Q_0-\int_{\mathbf{R}^{(0)}}\ell_\lambda\,d\rho. This is claim 3.

Step 4: claim 4. By claim 3, R(k)λdρ=QkQk+1\int_{\mathbf{R}^{(k)}}\ell_\lambda\,d\rho=Q_k-Q_{k+1} for every k0k\ge0, so the sum over knk\le n telescopes to Q0Qn+1=1Qn+1Q_0-Q_{n+1}=1-Q_{n+1}. By (2.1), Rλdρ\int_{\mathbf{R}}\ell_\lambda\,d\rho is the least upper bound of the finite partial sums of the cell integrals of λ\ell_\lambda; every finite family of cells is contained in the family of cells with at most nn events for some nn, whose (finite) partial sum is knR(k)λdρ=1Qn+11\sum_{k\le n}\int_{\mathbf{R}^{(k)}}\ell_\lambda\,d\rho=1-Q_{n+1}\le1, and conversely each of these is a finite partial sum. Hence Rλdρ=supn(1Qn+1)\int_{\mathbf{R}}\ell_\lambda\,d\rho=\sup_n(1-Q_{n+1}). Since 0Qn+1(l~λˉT)n+1/(n+1)!0\le Q_{n+1}\le(\tilde{l}\bar\lambda T)^{n+1}/(n+1)! by claim 2, and the partial sums sns_n of the series m(l~λˉT)m/m!=exp(l~λˉT)\sum_m(\tilde{l}\bar\lambda T)^{m}/m!=\exp(\tilde{l}\bar\lambda T) converge (The Real Exponential Function), so that their differences sn+1sn=(l~λˉT)n+1/(n+1)!s_{n+1}-s_n=(\tilde{l}\bar\lambda T)^{n+1}/(n+1)! tend to 00 by claim 1 of Arithmetic of Limits of Real Sequences, we get Qn+10Q_{n+1}\to0 and Rλdρ=1\int_{\mathbf{R}}\ell_\lambda\,d\rho=1. \blacksquare

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