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Natural Science Department – Duy Tan University. MAXIMUM & MINIMUM VALUES. In this section, we will learn: How to use partial derivatives to locate maxima and minima of functions of two variables. Lecturer: Ho Xuan Binh. 1. MAXIMUM & MINIMUM VALUES. - PowerPoint PPT Presentation
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Da Nang-08/2014
Natural Science Department – Duy Tan University
Lecturer: Ho Xuan Binh
MAXIMUM & MINIMUM
VALUES In this section, we will learn:
How to use partial derivatives to locate
maxima and minima of functions of two variables
MAXIMUM & MINIMUM VALUES 1 Natural Science Department – Duy Tan University
Maximum and minimum values
Definition 2Natural Science Department – Duy Tan University
A function of two variables has a local maximum at (a, b) if f(x, y) ≤ f(a, b) when (x, y) is near (a, b).This means that f(x, y) ≤ f(a, b) for all points (x, y) in some disk with center (a, b). The number f(a, b) is called a local maximum value.
Maximum and minimum values
If f(x, y) ≥ f(a, b) when (x, y) is near (a, b), then f has a local minimum at (a, b). The number f(a, b) is a local minimum value.
Theorem 13Natural Science Department – Duy Tan University
Maximum and minimum values
If f has a local maximum or minimum at (a, b) and the first-order partial derivatives of f exist there, then
fx(a, b) = 0 and fy(a, b) = 0
CRITICAL POINT4Natural Science Department – Duy Tan University
A point (a, b) is called a critical point (or stationary point) of f if either:
Maximum and minimum values
* fx(a, b) = 0 and fy(a, b) = 0
* One of these partial derivatives does not exist.
SADDLE POINT5
Natural Science Department – Duy Tan University
Near the origin, the graph has the shape of a saddle.
So, (0, 0) is called a saddle point of f(x,y) = y2 – x2.
Maximum and minimum values
Theorem 2 6Natural Science Department – Duy Tan University
Suppose that:
Maximum and minimum values
The second partial derivatives of f are continuous on a disk with center (a, b).
fx(a, b) = 0 and fy(a, b) = 0 [that is, (a, b) is a critical point of f].
Let D = D(a, b) = fxx(a, b) fyy(a, b) – [fxy(a, b)]2
Theorem 2 6Natural Science Department – Duy Tan University
Maximum and minimum values
b. If D > 0 and fxx(a, b) < 0, f(a, b) is a local maximum.
a. If D > 0 and fxx(a, b) > 0, f(a, b) is a local minimum.
c. If D < 0, f(a, b) is not a local maximum or minimum.
* In case c, The point (a, b) is called a saddle point of f .
* If D = 0, the test gives no information: f could have a local maximum or local minimum at (a,b), or (a,b) could be a saddle point of f.
Notes:
Example 7Natural Science Department – Duy Tan University
Find the local maximum and minimum values and saddle points of
Maximum and minimum values
f(x, y) = x4 + y4 – 4xy + 1
LOGO
Thank you for your attention