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ConsciousnessLearn · Explore · Joseph Anady

Free energy gradient: ∂F/∂x = 2(x - μ) - T·∂S/∂x · @brief Free energy gradient: ∂F/∂x

This relation defines @brief Free energy gradient: ∂F/∂x in the source section “Free energy gradient: ∂F/∂x = 2(x - μ) - T·∂S/∂x · @brief Free energy gradient: ∂F/∂x”. Uses a derivative or gradient to describe a rate of change or a direction of variation. Its…

Implementation mathematicsSource recovered; runtime not executed
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gh-eq-ef57c92b7a341f22source-comment-equation
@briefFreeenergygradient:∂F/∂x=2(x−μ)−T⋅∂S/∂x@brief Free energy gradient: ∂F/∂x = 2(x - μ) - T·∂S/∂x

Read the equation

This relation defines @brief Free energy gradient: ∂F/∂x in the source section “Free energy gradient: ∂F/∂x = 2(x - μ) - T·∂S/∂x · @brief Free energy gradient: ∂F/∂x”. Uses a derivative or gradient to describe a rate of change or a direction of variation. Its interpretation depends on the source’s stated variables and conditions; this record does not assign an unprovided physical or cognitive meaning to them.

Terms & definitions

The recovered passage does not supply a separate symbol table. Read the source context for the notation used in this version; familiar letters may carry different meanings in other builds.

How it works

  1. Read @brief Free energy gradient: ∂F/∂x as the quantity being defined or updated by this relation.

  2. Uses a derivative or gradient to describe a rate of change or a direction of variation.

  3. Use this version’s variable definitions and update order. The same symbol may be assigned a different meaning in another build.

Assumptions & limits

  • This source expression was recovered from the pinned code revision. Its presence does not establish that the associated program was built, run, or scientifically validated.

Original context

Read the surrounding source passage
 * @brief Lyapunov function gradient: ∂V/∂Ω = 2(Ω - Ω*)
 */
inline double lyapunov_gradient(double omega, double omega_target) {
    return 2.0 * (omega - omega_target);
}

/**
 * @brief Free energy gradient: ∂F/∂x = 2(x - μ) - T·∂S/∂x
 */
inline double free_energy_gradient(double x, double mu, double temperature, double entropy_grad) {
    return 2.0 * (x - mu) - temperature * entropy_grad;
}

/**
 * @brief Natural gradient (Fisher-Rao): ∇̃f = G^{-1}∇f
 */
inline double natural_gradient(double gradient, double fisher_info) {
    if (fisher_info < 1e-10) return gradient;
Exact original notation
@brief Free energy gradient: ∂F/∂x = 2(x - μ) - T·∂S/∂x

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