A correlated floating-pinion uncertainty set describes combinations of contact-model parameters that can occur together, rather than treating every separate parameter bound as independently attainable. Here correlated means linked by the parameter model; it need not mean a particular statistical correlation coefficient.
For the floating-pinion robust contact margin, write and
The set can represent shared mounting motion, a common geometric error or another justified constraint. A rectangle based only on separate ranges includes the true set, but can include combinations that its physical cause cannot produce. Minimizing over this larger set gives a conservative lower bound.
An original floating-pinion affine uncertainty bound gives an exact result for bounded shared variables. Suppose
with every allowed vector admissible. Since , minimizing each affine expression over the box gives
The uncertainty variables are independently bounded here, but the resulting physical parameters can remain linked. Each absolute-value term follows by choosing the sign of that minimizes its coefficient times .
For example, in micrometres take , and . The two minima are and , so . Separate parameter ranges instead give and , hence rectangular bound . A displacement envelope leaves guaranteed compression under the joint model, although the rectangular test cannot certify it.
A statistical covariance matrix is not itself a hard admissible set: a high-probability region and an absolute bound answer different questions. The physical model also needs to remain valid throughout the selected set. If a contact opens, the linear two-contact force law must be replaced in the floating-pinion contact-loss check.
NASA's face-gear work motivates examining mounting freedom and measured load division, while its slow-roll observations do not establish the particular uncertainty set used in this derivation.[ref] The value of a joint set is justified constraint information, not an assumption that all uncertainties cancel.
A floating-pinion ellipsoidal uncertainty bound gives the smallest two-contact compression margin when the uncertain parameter vector lies in a specified ellipsoid. It retains shared parameter effects, as does the floating-pinion affine uncertainty bound, but uses a different admissible-set shape.
Let approach and imbalance be affine functions
and describe the set by with . Put and . The floating-pinion robust contact margin then satisfies the exact formula
To prove it, write . For either linear coefficient vector , the Cauchy-Schwarz inequality gives
If , equality is attained at . Thus the result supplies both a margin and an attaining direction. The image representation also handles rank-deficient sets without inverting a shape matrix.
For an original example in micrometres, take , the identity and
Over , the two branch minima are and , so the margin is about . The first branch attains it at . The encompassing box instead gives because it admits combinations excluded by the disk.
A covariance-derived ellipse does not automatically certify an absolute engineering bound. Its probability content requires distributional assumptions and an appropriate radius; a hard guarantee requires a defensible admissible set. NASA's face-gear mounting and slow-roll load-sharing observations motivate the physical contact question, not the particular coefficients or set used here.[ref] The two-contact force law must also remain valid; contact opening requires the floating-pinion contact-loss check.