Change a parameter.
Keep the distinction.
Interactive mathematics and explicitly synthetic examples. These demonstrations are reproducible; they are not physical experiments.
Two expressions.
One prediction.
MATHEMATICAL IDENTITY
Comparing identical functions cannot detect a novel physical law.
0° to 180°, at 0.05° intervals. Numerical results appear here.
Cyan: both functions · Violet: selected angle
The analytic curves coincide at every angle.
Why the curves are identical
The double-angle identity gives cos(2θ) = 2cos²(θ) − 1. Adding 1 and dividing by 2 yields [1 + cos(2θ)]/2 = cos²(θ) for every real θ.
The analytic identity is the proof. Small differences in a numerical sweep are floating-point roundoff. Agreement between these expressions provides no distinctive RC-specific prediction.
Download the dependency-free numerical checkNoise is not a discovery.
SYNTHETIC / FIXED SEED 42
Generated samples around an arbitrary mean of 1. No sensor measurements.
Sampling illustration
Each setting uses a deterministic normal-noise sequence with the same fixed seed. Increasing the sample count retains the earlier samples.
The interval is x̄ ± 1.96s/√n, a normal-reference approximation assuming independent, identically distributed samples. It is not a prediction interval and does not include model error or systematic bias.
Cyan: generated samples · Dashed: generator mean 1
Violet line/band: sample mean and approximate 95% mean interval
Enable JavaScript to generate the synthetic sample summary.
The vertical scale is fixed from −3 to 5 so different noise settings remain comparable. Out-of-range values, if any, are counted in the text summary.
Generator and interpretation
A 32-bit linear congruential generator (multiplier 1664525, increment 1013904223) with seed 42 supplies uniform numbers. The Box–Muller transform produces normal deviates; samples are 1 + σz.
A single displayed interval does not establish repeated-sampling coverage. Changing n can move the sample mean; the interval width need not decrease at every step because s is estimated. Zero noise gives identical samples and a zero-width interval.
Inspect reproduction instructions and limitations before interpreting the visualization.