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A critical point of a function of a single real variable, f (x), is a value x0 in the domain of f where f is not differentiable or its derivative is 0 (i.e. ).[ 2] A critical value is the image under f of a critical point. These concepts may be visualized through the graph of f: at a critical point, the graph has a horizontal tangent if one can ...
In thermodynamics, a critical point (or critical state) is the end point of a phase equilibrium curve. One example is the liquid–vapor critical point, the end point of the pressure–temperature curve that designates conditions under which a liquid and its vapor can coexist. At higher temperatures, the gas comes into a supercritical phase ...
Critical value or threshold value can refer to: A quantitative threshold in medicine, chemistry and physics. Critical value (statistics), boundary of the acceptance region while testing a statistical hypothesis. Value of a function at a critical point (mathematics) Critical point (thermodynamics) of a statistical system.
Symbolab. Symbolab is an answer engine [ 1] that provides step-by-step solutions to mathematical problems in a range of subjects. [ 2] It was originally developed by Israeli start-up company EqsQuest Ltd., under whom it was released for public use in 2011. In 2020, the company was acquired by American educational technology website Course Hero ...
Equilibrium point (mathematics) Stability diagram classifying Poincaré maps of linear autonomous system as stable or unstable according to their features. Stability generally increases to the left of the diagram. [ 1] Some sink, source or node are equilibrium points. In mathematics, specifically in differential equations, an equilibrium point ...
The Taylor series can be used to calculate the value of an entire function at every point, if the value of the function, and of all of its derivatives, are known at a single point. Uses of the Taylor series for analytic functions include: The partial sums (the Taylor polynomials) of the series can be used as approximations of the function ...
Eigenvalues and eigenvectors. In linear algebra, an eigenvector ( / ˈaɪɡən -/ EYE-gən-) or characteristic vector is a vector that has its direction unchanged by a given linear transformation. More precisely, an eigenvector, , of a linear transformation, , is scaled by a constant factor, , when the linear transformation is applied to it: .
In probability and statistics, Student's t distribution (or simply the t distribution) is a continuous probability distribution that generalizes the standard normal distribution. Like the latter, it is symmetric around zero and bell-shaped. However, has heavier tails and the amount of probability mass in the tails is controlled by the parameter ...