Sentence examples for nonlinearity from inspiring English sources
The word "nonlinearity" is correct and usable in written English
You can use it to describe a phenomenon or a certain state of affairs that is or cannot be described by linear equations or functions. Example sentence: "The nonlinearity of the system makes it difficult to predict its future behavior."
noun
The state of being nonlinear
4) Having said all of that, the nonlinearity of the relationship between debt and growth at particular thresholds was clearly the main contribution of their earlier work.
It is the difference between Dv/Dt and ∂v/∂t i.e., the final (v · ∇)v term in (155)—that introduces into fluid dynamics the nonlinearity that makes the subject so rife with surprises.
A similar nonlinearity arises in objects illuminated by light from the Sun or other thermal light source.
A different type of nonlinearity occurs in image formation.
Because of the nonlinearity of the dialogue, she had to be vigilant about letting feeling from one line spill over into another.
The most distinguishing hallmark of Mr. Angelopoulos's work is his tendency to play fast and loose — or, more precisely, slow and loose — with time: scenes can unfold with dreamlike nonlinearity, with remembered scraps of a character's past played out as though they were part of the present action.
First, there are two important nonlinearities in the inflation-growth relationship.
But it might be a necessary condition, not least because of resolving the nonlinearities alluded to, many featuring over quite small scales.
3. We have intuitions that there is some connection, but when nonlinearities are present, these connections are much more delicate than often assumed (Bishop 2011). 5. Recent analyses of functional magnetic resonance imaging studies reveal that there are many-to-many relationships between so-called neural correlates and mental states (Anderson 2010).
Linear stability analysis can indicate when nonlinearities can be expected to dominate the dynamics, and local finite-time Lyapunov exponents can indicate regions on an attractor where these nonlinearities will cause all uncertainties to decrease cause trajectories to converge rather than diverge so long as trajectories remain in those regions.
Another fundamental problem is that classical chaos is a function of nonlinearities whereas Schrödinger's equation describing quantum systems is linear.
