
We analyze the iteration of the harmonic mean with one fixed endpoint and show that it admits an exact reciprocal linearization. The nonlinear recurrence H_{n+1} = \frac{2aH_n}{a+H_n} is transformed by the substitution u_n = 1/H_n into a linear affine map with universal contraction rate 1/2, independent of the initial values. This yields a closed-form expression for the full sequence and establishes exponential convergence to the fixed point a. We show that the iterated sequence contains strictly more information than the single harmonic mean: while H(a,b) constrains (a,b) to a curve, the full sequence uniquely determines both parameters. A geometric interpretation is provided using Thales semicircle partitions, where the associated altitude converges to its maximum at the fixed point. The results are presented as a mathematical exploration of contractive geometry in harmonic averaging, without asserting any physical interpretation.
harmonic mean, iterated means, contraction mapping, reciprocal linearization, Thales geometry, arithmetic–geometric–harmonic means, nonlinear recurrence, fixed points, exponential convergence, information loss, mean inequalities, geometric partitions
harmonic mean, iterated means, contraction mapping, reciprocal linearization, Thales geometry, arithmetic–geometric–harmonic means, nonlinear recurrence, fixed points, exponential convergence, information loss, mean inequalities, geometric partitions
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