A.11 Proof of Proposition 8
As shown before, if $g(\theta_i, e_i) = \theta_i e_i$, we have
( d d e i g e k − 1 ( g e i ( t i + x ) ) ) ∣ e 1 = ⋯ = e n = e = ( t i + x ) e . \left. \left( \frac{d}{de_i} g_{e_k}^{-1} (g_{e_i}(t_i + x)) \right) \right|_{e_1=\dots=e_n=e} = \frac{(t_i+x)}{e}. ( d e i d g e k − 1 ( g e i ( t i + x )) ) e 1 = ⋯ = e n = e = e ( t i + x ) .
Thus, making use of expression (11), derived in Section B.1, and denoting $\Delta t = t_1 - t > 0$,
λ 2 ∫ − Δ t ( H ( x ) ∏ k ≠ i H ( Δ t + x ) ) ( ∑ k ≠ i ( d d e i g e k − 1 ( g e i ( t 1 + x ) ) ) ) ∣ e 1 = ⋯ = e n = e d x = λ 2 ∫ − Δ t exp ( n λ y ) ⋅ exp ( ( n − 1 ) λ ( Δ t + x ) ) ( n − 1 ) ( t 1 + x ) e d x = λ 2 ( n − 1 ) e ∫ − Δ t exp ( n λ y + ( n − 1 ) λ Δ t ) ( t 1 + y ) d y . \begin{align*} & \lambda^2 \int^{-\Delta t} \left( H(x) \prod_{k \neq i} H(\Delta t + x) \right) \left( \sum_{k \neq i} \left( \frac{d}{de_i} g_{e_k}^{-1} (g_{e_i}(t_1+x)) \right) \right) \Big|_{e_1=\dots=e_n=e} dx \\ &= \lambda^2 \int^{-\Delta t} \exp(n\lambda y) \cdot \exp((n-1)\lambda(\Delta t + x)) (n-1) \frac{(t_1+x)}{e} dx \\ &= \frac{\lambda^2(n-1)}{e} \int^{-\Delta t} \exp(n\lambda y + (n-1)\lambda\Delta t)(t_1+y) dy. \end{align*} λ 2 ∫ − Δ t H ( x ) k = i ∏ H ( Δ t + x ) k = i ∑ ( d e i d g e k − 1 ( g e i ( t 1 + x )) ) e 1 = ⋯ = e n = e d x = λ 2 ∫ − Δ t exp ( nλ y ) ⋅ exp (( n − 1 ) λ ( Δ t + x )) ( n − 1 ) e ( t 1 + x ) d x = e λ 2 ( n − 1 ) ∫ − Δ t exp ( nλ y + ( n − 1 ) λ Δ t ) ( t 1 + y ) d y .
The map $\phi_2 : \mathbb{R}_x \to \mathbb{R}_y$ given by $x \to y = -\Delta t + x$ is a smooth diffeomorphism with $\det|\phi_2'(x)| = 1$. Applying the associated change of variables to the integral, we obtain
λ 2 ( n − 1 ) e ∫ 0 exp ( n λ ( x − Δ t ) + ( n − 1 ) λ Δ t ) ( t + x ) d x = ( n − 1 ) e exp ( − λ Δ t ) λ 2 ( ∫ 0 x exp ( n λ x ) d x + t ∫ 0 exp ( n λ x ) d x ) . \begin{align*} & \frac{\lambda^2(n-1)}{e} \int^0 \exp(n\lambda(x-\Delta t) + (n-1)\lambda\Delta t)(t+x)dx \\ &= \frac{(n-1)}{e} \exp(-\lambda\Delta t) \lambda^2 \left( \int^0 x \exp(n\lambda x)dx + t \int^0 \exp(n\lambda x)dx \right). \end{align*} e λ 2 ( n − 1 ) ∫ 0 exp ( nλ ( x − Δ t ) + ( n − 1 ) λ Δ t ) ( t + x ) d x = e ( n − 1 ) exp ( − λ Δ t ) λ 2 ( ∫ 0 x exp ( nλ x ) d x + t ∫ 0 exp ( nλ x ) d x ) .
Notice that
n λ ∫ 0 x exp ( n λ x ) d x n\lambda \int^{0} x \exp(n\lambda x) dx nλ ∫ 0 x exp ( nλ x ) d x
is the mean of a random variable that is distributed according to the reflected exponential distribution with parameter $n\lambda$, hence
n λ ∫ 0 x exp ( n λ x ) d x = − 1 n λ n\lambda \int^{0} x \exp(n\lambda x) dx = -\frac{1}{n\lambda} nλ ∫ 0 x exp ( nλ x ) d x = − nλ 1
⇔ ∫ 0 x exp ( n λ x ) d x = − 1 n 2 λ 2 . \Leftrightarrow \int^{0} x \exp(n\lambda x) dx = -\frac{1}{n^2\lambda^2}. ⇔ ∫ 0 x exp ( nλ x ) d x = − n 2 λ 2 1 .
Furthermore,
n λ ∫ 0 exp ( n λ x ) d x = 1 n\lambda \int^{0} \exp(n\lambda x) dx = 1 nλ ∫ 0 exp ( nλ x ) d x = 1
⇔ ∫ 0 exp ( n λ x ) d x = 1 n λ . \Leftrightarrow \int^{0} \exp(n\lambda x) dx = \frac{1}{n\lambda}. ⇔ ∫ 0 exp ( nλ x ) d x = nλ 1 .