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Second partial derivative test information


Second partial derivative test
Second partial derivative test
Second partial derivative test
The Hessian approximates the function at a critical point with a second-degree polynomial.

In mathematics, the second partial derivative test is a method in multivariable calculus used to determine if a critical point of a function is a local minimum, maximum or saddle point.

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Second partial derivative test

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In mathematics, the second partial derivative test is a method in multivariable calculus used to determine if a critical point of a function is a local...

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Second derivative

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the second derivative, or the second-order derivative, of a function f is the derivative of the derivative of f. Informally, the second derivative can...

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Derivative test

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In calculus, a derivative test uses the derivatives of a function to locate the critical points of a function and determine whether each point is a local...

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Partial derivative

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In mathematics, a partial derivative of a function of several variables is its derivative with respect to one of those variables, with the others held...

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Directional derivative

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)}{\partial \mathbf {x} }}.} It therefore generalizes the notion of a partial derivative, in which the rate of change is taken along one of the curvilinear...

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Symmetry of second derivatives

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of second derivatives (also called the equality of mixed partials) refers to the possibility of interchanging the order of taking partial derivatives of...

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Functional derivative

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f(b)\,-\,{\frac {\partial L}{\partial f'}}(a)\delta f(a)\,} where the variation in the derivative, δf ′ was rewritten as the derivative of the variation...

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Total derivative

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derivative of a function f at a point is the best linear approximation near this point of the function with respect to its arguments. Unlike partial derivatives...

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Hessian matrix

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Hessian or (less commonly) Hesse matrix is a square matrix of second-order partial derivatives of a scalar-valued function, or scalar field. It describes...

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Maximum and minimum

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minimum, or neither by using the first derivative test, second derivative test, or higher-order derivative test, given sufficient differentiability. For...

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Derivative

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{\displaystyle {\frac {\partial f}{\partial x}}=2x+y,\qquad {\frac {\partial f}{\partial y}}=x+2y.} In general, the partial derivative of a function f ( x...

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Exterior derivative

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}={\frac {\partial g}{\partial x^{i}}}\,dx^{i}\wedge dx^{I}} (using the Einstein summation convention). The definition of the exterior derivative is extended...

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Weak derivative

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In mathematics, a weak derivative is a generalization of the concept of the derivative of a function (strong derivative) for functions not assumed differentiable...

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Jacobian matrix and determinant

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function of several variables is the matrix of all its first-order partial derivatives. When this matrix is square, that is, when the function takes the...

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Matrix calculus

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calculus, especially over spaces of matrices. It collects the various partial derivatives of a single function with respect to many variables, and/or of a...

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Notation for differentiation

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{\partial ^{2}f}{\partial x\,\partial y}},\\[5pt]&\partial _{yy}f={\frac {\partial ^{2}f}{\partial y^{2}}}.\end{aligned}}} See § Partial derivatives. D-notation...

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Generalizations of the derivative

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the derivative, one repeatedly applies partial derivatives with respect to different variables. For example, the second order partial derivatives of a...

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List of calculus topics

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differentiation Stationary point Maxima and minima First derivative test Second derivative test Extreme value theorem Differential equation Differential...

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Differential calculus

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The second derivative test can still be used to analyse critical points by considering the eigenvalues of the Hessian matrix of second partial derivatives...

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Chain rule

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formula that expresses the derivative of the composition of two differentiable functions f and g in terms of the derivatives of f and g. More precisely...

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Alternating series test

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monotonicity is not present and we cannot apply the test. Actually the series is divergent. Indeed, for the partial sum S 2 n {\displaystyle S_{2n}} we have S...

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Fractional calculus

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{\displaystyle {\frac {\partial ^{\alpha }u}{\partial t^{\alpha }}}=-K(-\Delta )^{\beta }u.} A simple extension of the fractional derivative is the variable-order...

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Gradient

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position, the gradient is given by the vector whose components are the partial derivatives of f {\displaystyle f} at p {\displaystyle p} . That is, for f :...

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Leibniz integral rule

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_{a(x)}^{b(x)}{\frac {\partial }{\partial x}}f(x,t)\,dt\end{aligned}}} where the partial derivative ∂ ∂ x {\displaystyle {\tfrac {\partial }{\partial x}}} indicates...

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Triple product rule

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cyclical rule or Euler's chain rule, is a formula which relates partial derivatives of three interdependent variables. The rule finds application in...

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Convergence tests

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series must diverge. In this sense, the partial sums are Cauchy only if this limit exists and is equal to zero. The test is inconclusive if the limit of the...

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Product rule

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Leibniz rule or Leibniz product rule) is a formula used to find the derivatives of products of two or more functions. For two functions, it may be stated...

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