Math 234 — Study guide 3rd midterm
Topics covered on the third midterm
Finding a function from its first partial derivatives
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What does Clairaut’s theorem say?
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How do you find $f(x, y)$ if you are given $f_x$ and $f_y$? How do you know if such a function exists?
Finding critical points from the zero set of a function
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What is a critical point of $f$?
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What are sufficient conditions that guarantee that a function $f(x, y)$ will have a maximal and also a minimal value on some region $E$?
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Given a drawing of the zero set of a function $f$ and the sign of the function off the zeroset, you can predict that certain points are critical points of $f$, and that some regions will contain at least one critical point of $f$. Explain.
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If a function $f$ attains its maximal value on some region $E$ at a point $P$ in $E$, must $P$ then be a critical point?
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You should be able to find critical points of a function like those in the homework problems and the old exams posted below.
Taylor expansion and the second derivative test
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Compute the Taylor expansion of second order of a function at some point $(a,b)$.
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What is special about the Taylor expansion at $(a,b)$ if $(a,b)$ is a critical point of $f$?
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Know how to use the Taylor expansion to determine if a critical point of a function is a local maximum, minimum, saddle point, or none of these. In the case of a saddle point, find the two tangent lines to the level set of the function.
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Explain how and why the second derivative test works.
Optimization with constraints
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If a function $f(x, y)$ attains it maximal value among all points $(x, y)$ satisfying $g(x, y)=0$ at some point $(a,b)$, then what equations must $(a, b)$ satisfy?
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Given a drawing of the level set $g(x, y)=C$ and the gradient $\vec\nabla f$of the function $f$ on the level set determine which points are local maxima and which are local minima on the level set. Be able to explain your answer.
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Be able to solve Lagrange’s equations for $f$ and $g$ as in the homework problems and the old exams below.
Old exams
Here is a collection of problems and solutions from an old exam