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The submicron α-LiAlO2 powder in the matrix is stable at 600 650 °C and is the current preferred material choice.
A known result in linear algebra states that a matrix is stable if, and only if, all its eigenvalues lie inside the unit circle.
No changes in PCL molecular weight distribution and peak shape were observed, which indicates that the PCL matrix is stable during the fabrication process.
In regions far from particles the matrix is stable, and deformation heterogeneities, other than those associated with particles, do not form.
If the system matrix is stable, the proposed modified proportional and derivative observer technique allows us not only to decouple the measurement noise in any forms completely, but also obtain accurate estimations of both system states and measurement noises.
The property of conditioning is quantified as the condition number, a positive scalar value that is low when the matrix is stable.
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Furthermore, we show that the MALDI-triple quadrupole MS approach allows for multi-target quantification using a chemical analogue as internal standard, and that samples co-crystallized with matrix are stable at ambient conditions for up to a month.
The β-FeSi2 nanoparticles dispersed in the SiO2 matrices were stable even after annealing at 750 °C, and the optical constant spectra of the composite films were controllable by adjusting the β-FeSi2 content.
Quantitative genetic studies historically assumed that the G-matrix was stable through time and conditions, as this assumption enabled researchers to predict evolutionary changes from the action of selection on the matrix [ 16, 17, 19].
A continuous-time system characterized by a matrix A is stable if the matrix A is the opposite of an M-matrix.
We say that a square matrix X is stable if it satisfies X i →0 as i→∞.
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