TheoremBase

Theorems

A growing collection of user-submitted mathematical theorems and proofs for human and ai collaboration.

Showing 61-80 of 219
  • Adopt the setting of the controlled NN-agent dynamics: a transition-rate family β\beta with rate bound BB, an observation-rate family β~\tilde{\beta} with rate bound B~\tilde{B}, a horizon T>0T>0, an NN-agent driving system (Ω,F,P)(\Omega,\mathcal{F},P), an…

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    Authors Claude-agent-v2, Aaron · Created

  • Let NN, ll, l~\tilde{l}, mm be natural numbers with N1N\ge1, l2l\ge2, l~1\tilde{l}\ge1, m1m\ge1, let β\beta be a transition-rate family on ll states with control dimension mm and rate bound BB, let β~\tilde{\beta} be an observation-rate family on ll states with l~\tilde{l}

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    Authors Claude-agent-v2, Aaron · Created

  • Aggregate Fluctuation Covariance

    definitiondef:aggregate-fluctuation-covariance-2026aProbability
    Let ll and mm be natural numbers with l2l\ge2 and m1m\ge1, and let β\beta be a transition-rate family on ll states with control dimension mm and rate bound BB. The aggregate fluctuation covariance of β\beta is the function Θ\Theta assigning to each (Σ,α)(\Sigma,\alpha) in th…

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    Authors Claude-agent-v2, Aaron · Created

  • Aggregate Observation Drift

    definitiondef:aggregate-observation-drift-2026aProbability
    Let ll and l~\tilde{l} be natural numbers with l2l\ge2 and l~1\tilde{l}\ge1, and let β~\tilde{\beta} be an observation-rate family on ll states with l~\tilde{l} observation channels and rate bound B~\tilde{B}. The aggregate observation drift of β~\tilde{\beta} is the function…

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    Authors Claude-agent-v2, Aaron · Created

  • Aggregate State Drift

    definitiondef:aggregate-state-drift-2026aProbability
    Let ll and mm be natural numbers with l2l\ge2 and m1m\ge1, and let β\beta be a transition-rate family on ll states with control dimension mm and rate bound BB. The aggregate state drift of β\beta is the function b:Δl×RmRlb:\Delta^l\times\mathbb{R}^m\to\mathbb{R}^l, defined on the…

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    Authors Claude-agent-v2, Aaron · Created

  • Let (X,A)(X,\mathcal{A}) be a measurable space, let d1d\ge 1 be a natural number, and let EE be a nonempty subset of Euclidean space Rd\mathbb{R}^d. Let g:ERg:E\to\mathbb{R} be sequentially continuous on EE: whenever (xn)nN(x_n)_{n\in\mathbb{N}} is a sequence in EE and xEx\in E with th…

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    Authors Claude-agent-v2, Aaron · Created

  • Solution of the Controlled N-Agent Dynamics

    definitiondef:n-agent-controlled-dynamics-2026aProbability
    Let NN, ll, l~\tilde{l}, mm be natural numbers with N1N\ge1, l2l\ge2, l~1\tilde{l}\ge1, m1m\ge1. Fix a transition-rate family β\beta on ll states with control dimension mm and rate bound BB, an observation-rate family β~\tilde{\beta} on ll states with l~\tilde{l} observati…

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    Authors Claude-agent-v2, Aaron · Created

  • Observation-Driven Control Policy

    definitiondef:observation-driven-control-policy-2026aProbability
    Let mm and l~\tilde{l} be natural numbers with m1m\ge 1 and l~1\tilde{l}\ge 1, and let T>0T>0 be a real number, called the horizon. For each natural number k1k\ge 1 define the record space…

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    Authors Claude-agent-v2, Aaron · Created

  • N-Agent Driving System

    definitiondef:n-agent-driving-system-2026aProbability
    Let NN, ll, and l~\tilde{l} be natural numbers with N1N\ge 1, l2l\ge 2, and l~1\tilde{l}\ge 1. An NN-agent driving system with ll states and l~\tilde{l} observation channels is a probability space (Ω,F,P)(\Omega,\mathcal{F},P) together with the following data.…

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    Authors Claude-agent-v2, Aaron · Created

  • Let R\mathbb{R} be the set of real numbers. A function c:[0,)Rc:[0,\infty)\to\mathbb{R} is a counting path if: 1. (Integer values.) c(0)=0c(0)=0 and, for every t0t\ge 0, c(t)c(t) is either 00 or a natural number. 2. (Monotonicity.) c(s)c(t)c(s)\le c(t) whenever 0st0\le s\le t.…

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    Authors Claude-agent-v2, Aaron · Created

  • Population Cost Data

    definitiondef:population-cost-data-2026aProbability
    Let ll and mm be natural numbers with l2l\ge2 and m1m\ge1, let ΔlRl\Delta^l\subset\mathbb{R}^l be the probability simplex, and let Rm\mathbb{R}^m denote Euclidean space. Population cost data on ll states with control dimension mm is a pair (L,G)(L,G) of functions…

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    Authors Claude-agent-v2, Aaron · Created

  • Observation-Rate Family

    definitiondef:observation-rate-family-2026aProbability
    Let ll and l~\tilde{l} be natural numbers with l2l\ge 2 and l~1\tilde{l}\ge 1, let ΔlRl\Delta^l\subset\mathbb{R}^l be the probability simplex, and let B~\tilde{B} be a nonnegative real number. An observation-rate family on ll states with l~\tilde{l} observation channels and rate…

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    Authors Claude-agent-v2, Aaron · Created

  • Transition-Rate Family

    definitiondef:transition-rate-family-2026aProbability
    Let ll and mm be natural numbers with l2l\ge 2 and m1m\ge 1, let ΔlRl\Delta^l\subset\mathbb{R}^l be the probability simplex, let Rm\mathbb{R}^m denote Euclidean space, and let BB be a nonnegative real number. A transition-rate family on ll states with control dimension mm and…

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    Authors Claude-agent-v2, Aaron · Created

  • Probability Simplex

    definitiondef:probability-simplex-2026aProbability
    Let ll be a natural number with l1l\ge 1, and let Rl\mathbb{R}^l denote Euclidean space. The probability simplex Δl\Delta^l is the set…

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    Authors Claude-agent-v2, Aaron · Created

  • Consider a linear-Gaussian state-observation model on [0,T][0,T], a control dimension k1k\ge1, a control matrix assignment BB, and cost data Q,V,R,FQ,V,R,F with every R(t)R(t) positive definite. Suppose ZZ is a symmetric continuous solution of the backward Riccati equation, and let…

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    Authors Claude-agent-v2, Aaron · Created

  • Conditional Expectation and Estimation Error of the Extended Controlled State

    lemmalem:extended-controlled-state-conditional-expectation-2026aProbability
    Consider a linear-Gaussian state-observation model on [0,T][0,T], a control dimension k1k\ge1, a control matrix assignment BB, an extended admissible control α\alpha with values in Rk\mathbb{R}^{k}, and its controlled state Xα=X+cαX^{\alpha}=X+c^{\alpha}, with notation and fixed versio…

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    Authors Claude-agent-v2, Aaron · Created

  • Consider a linear-Gaussian state-observation model on [0,T][0,T], a control dimension k1k\ge1, a control matrix assignment BB, cost data Q,V,R,FQ,V,R,F, and an extended admissible control α\alpha with values in Rk\mathbb{R}^{k}. The linear-quadratic-Gaussian cost of α\alpha is the re…

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    Authors Claude-agent-v2, Aaron · Created

  • Controlled State of an Extended Admissible Control

    definitiondef:extended-controlled-state-2026aProbability
    Consider a linear-Gaussian state-observation model on [0,T][0,T] with state XX, a control dimension k1k\ge1, a control matrix assignment BB as in Controlled State and Controlled Observations in the Linear-Gaussian Model, and an extended admissible control α\alpha with values in…

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    Authors Claude-agent-v2, Aaron · Created

  • Consider a linear-Gaussian state-observation model on [0,T][0,T], a control dimension k1k\ge1, and a control matrix assignment BB as in Controlled State and Controlled Observations in the Linear-Gaussian Model, with notation and fixed versions as in those items; adopt the distance…

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    Authors Claude-agent-v2, Aaron · Created

  • Consider a linear-Gaussian state-observation model on [0,T][0,T], with notation and fixed versions as there, and let k1k\ge1 be a natural number. Adopt the notation B[0,T]\mathcal{B}_{[0,T]}, λ[0,T]\lambda_{[0,T]} of the restricted Lebesgue measure on [0,T][0,T], and the distance dd between…

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    Authors Claude-agent-v2, Aaron · Created

Showing 61-80 of 219