Local extrema of functions of several variables
[90/91%]Let be a function whose partial derivatives of order are everywhere defined and continuous.
Let be a critical point of (i.e., , ). Prove that is a local minimum provided the Hessian matrix
is positive definite at .
Assume the Hessian matrix is positive definite at all . Prove that has, at most, one critical point.
Prove that a real valued function on whose Laplacian,
is everywhere positive cannot have a local maximum.
Let be such that
Suppose has continuous partial derivatives of orders . Is there a with such that
Investigate the extrema of the following function of several variables: .
Investigate the extrema of the following function of several variables: .
Investigate the extrema of the following function of several variables: .
Investigate the extrema of the following function of several variables: .
Investigate the extrema of the following function of several variables: .
Investigate the extrema of the following function of several variables: .
Investigate the extrema of the following function of several variables: .
Investigate the extrema of the following function of several variables: .
Investigate the extrema of the following function of several variables: .
Investigate the extrema of the following function of several variables: .
Investigate the extrema of the following function of several variables: .
Investigate the extrema of the following function of several variables: .
Investigate the extrema of the following function of several variables: .
Investigate the extrema of the following function of several variables: .
Investigate the extrema of the following function of several variables: .
Investigate the extrema of the following function of several variables: .
Investigate the extrema of the following function of several variables: .
Investigate the extrema of the following function of several variables: .
Investigate the extrema of the following function of several variables: .
Investigate the extrema of the following function of several variables: .
Investigate the extrema of the following function of several variables: .
Investigate the extrema of the following function of several variables: .
Investigate the extrema of the following function of several variables: .
Investigate the function for extrema.
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Investigate the function for extrema.
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Investigate the function for extrema.
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Investigate the function for extrema.
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Investigate the function for extrema.
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Investigate the function for extrema.
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Investigate the function for extrema.
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Investigate the function for extrema.
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Find all stationary points of the function and investigate it for extrema. Can the sufficient conditions for a strict extremum be used here?
Prove that the function :
along every line passing through the point , has a minimum at this point;
has no minimum at the point .
Can a continuously differentiable function have infinitely many strict maxima and no minimum?
Is the following statement true: if a continuously differentiable function , has only one stationary point , at which it has a local minimum, then the inequality , holds?
Investigate the function for extrema.
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Investigate the function for extrema.
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Investigate the function for extrema.
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Investigate the function , for extrema:
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Investigate for extrema the continuously differentiable function defined implicitly by the conditions:
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Investigate for a strict extremum each continuously differentiable function defined implicitly by the equation:
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Suppose that is a diffierentiable real function in an open set , and that has a local maximum at a point . Prove that .
Define , and put
if .
Prove, for all , that
Conclude that is continuous.
For , define
Show that . Each has therefore a strict local minimum at .
In other words, the restriction of to each line through has a strict local minimum at .
Show that is nevertheless not a local minimum for , since .
Define in by
Find the four points in at which the gradient of is zero. Show that has exactly one local maximum and one local minimum in .
Let be the set of all at which . Find those points of that have no neighborhoods in which the equation can be solved for in terms of (or for in terms of ). Describe as precisely as you can.
Give a similar discussion for
Suppose in some neighborhood of a point , the gradient of is 0 at a, but not all second-order derivatives of are 0 at a. Show how one can then determine from the Taylor polynomial of at a (of degree 2) whether has a local maximum, or a local minimum, or neither, at the point a.
Extend this to in place of .