relations between Hessian matrix and local extrema
Let x be a vector, and let H(x) be the Hessian for f at a point x. Let f have continuous
partial derivatives
of first and second order in a neighborhood
of x. Let ∇f(x)=0.
If H(x) is positive definite (http://planetmath.org/PositiveDefinite), then x is a strict local minimum for f.
If x is a local minimum for x, then H(x) is positive semidefinite.
If H(x) is negative definite (http://planetmath.org/NegativeDefinite), then x is a strict local maximum for f.
If x is a local maximum for x, then H(x) is negative semidefinite.
If H(x) is indefinite, x is a nondegenerate saddle point.
If the case when the dimension of x is 1 (i.e. f:ℝ→ℝ), this reduces to the Second Derivative Test
, which is as follows:
Let the neighborhood of x be in the domain for f, and let f have continuous partial derivatives of first and second order. Let f′(x)=0. If f′′, then is a strict local minimum. If , then is a strict local maximum. In the case that , being , is said to be an inflexion point (also called turning point). A typical example is , , , , , .
Title | relations between Hessian matrix and local extrema |
---|---|
Canonical name | RelationsBetweenHessianMatrixAndLocalExtrema |
Date of creation | 2013-03-22 12:59:52 |
Last modified on | 2013-03-22 12:59:52 |
Owner | bshanks (153) |
Last modified by | bshanks (153) |
Numerical id | 14 |
Author | bshanks (153) |
Entry type | Result |
Classification | msc 26B12 |
Related topic | Extrema |
Related topic | Extremum |
Related topic | HessianForm |
Related topic | TestsForLocalExtremaForLagrangeMultiplierMethod |
Defines | second derivative test |