14.7: Maxima and Minima

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1 14.7: Maxima and Minima Marius Ionescu October 29, 2012 Marius Ionescu () 14.7: Maxima and Minima October 29, / 13

2 Local Maximum and Local Minimum Denition Marius Ionescu () 14.7: Maxima and Minima October 29, / 13

3 Local Maximum and Local Minimum Denition A function f has a local maximum at (a, b) if f (x, y) f (a, b) when (x, y) is near (a, b). Marius Ionescu () 14.7: Maxima and Minima October 29, / 13

4 Local Maximum and Local Minimum Denition A function f has a local maximum at (a, b) if f (x, y) f (a, b) when (x, y) is near (a, b). The number f (a, b) is called a local maximum value. Marius Ionescu () 14.7: Maxima and Minima October 29, / 13

5 Local Maximum and Local Minimum Denition A function f has a local maximum at (a, b) if when (x, y) is near (a, b). f (x, y) f (a, b) The number f (a, b) is called a local maximum value. A function f has a local minimum at (a, b) if f (x, y) f (a, b) when (x, y) is near (a, b) and f (a, b) is called a local minimum value. Marius Ionescu () 14.7: Maxima and Minima October 29, / 13

6 Absolute Maximum and Absolute Minimum Denition If f (x, y) f (a, b) (or f (x, y) f (a, b)) for all points (x, y) in the domain of f, then f has an absolute maximum (or absolute minimum) at (a, b). Marius Ionescu () 14.7: Maxima and Minima October 29, / 13

7 Examples Example f (x, y) = sin x + sin y Marius Ionescu () 14.7: Maxima4and Minima -6 October 29, / 13

8 Example f (x, y) = (x 2 + y 2 )e x2 y Marius Ionescu () 14.7: Maxima and Minima October 29, / 13

9 Example f (x, y) = cos(x 2 + y 2 )/(1 + x 2 + y 2 ) Marius Ionescu () 14.7: Maxima and Minima October 29, / 13

10 Critical Points Fact If f has a local maximum or minimum at (a, b) and the rst-order partial derivatives exist there, then f x (a, b) = 0 and f y (a, b) = 0. Marius Ionescu () 14.7: Maxima and Minima October 29, / 13

11 Critical Points Fact If f has a local maximum or minimum at (a, b) and the rst-order partial derivatives exist there, then f x (a, b) = 0 and f y (a, b) = 0. Denition A point (a, b) is called a critical point (or stationary point) of f if f x (a, b) = 0 and f y (a, b) = 0. Marius Ionescu () 14.7: Maxima and Minima October 29, / 13

12 Example Example Find the critical points and extreme values of the function f (x, y) = x 2 + y 2 4x 4y Marius Ionescu () 14.7: Maxima and Minima October 29, / 13

13 Example Example Find the extreme values of f (x, y) = y 2 x 2. Marius Ionescu () 14.7: Maxima and Minima October 29, / 13

14 Example Example Find the extreme values of f (x, y) = y 2 x Marius Ionescu () 14.7: Maxima and Minima October 29, / 13

15 Second Derivative Test Theorem Suppose the second partial derivatives of f are continuous on a disk with center (a, b), and suppose that f x (a, b) = 0 and f y (a, b) = 0. Let D = f xx f yx f xy f yy = f xx f yy (f xy ) 2. Marius Ionescu () 14.7: Maxima and Minima October 29, / 13

16 Second Derivative Test Theorem Suppose the second partial derivatives of f are continuous on a disk with center (a, b), and suppose that f x (a, b) = 0 and f y (a, b) = 0. Let D = f xx f yx f xy f yy = f xx f yy (f xy ) 2. 1 If D > 0 and f xx (a, b) > 0, then f (a, b) is a local minimum. Marius Ionescu () 14.7: Maxima and Minima October 29, / 13

17 Second Derivative Test Theorem Suppose the second partial derivatives of f are continuous on a disk with center (a, b), and suppose that f x (a, b) = 0 and f y (a, b) = 0. Let D = f xx f yx f xy f yy = f xx f yy (f xy ) 2. 1 If D > 0 and f xx (a, b) > 0, then f (a, b) is a local minimum. 2 If D > 0 and f xx (a, b) < 0, then f (a, b) is a local maximum. Marius Ionescu () 14.7: Maxima and Minima October 29, / 13

18 Second Derivative Test Theorem Suppose the second partial derivatives of f are continuous on a disk with center (a, b), and suppose that f x (a, b) = 0 and f y (a, b) = 0. Let D = f xx f yx f xy f yy = f xx f yy (f xy ) 2. 1 If D > 0 and f xx (a, b) > 0, then f (a, b) is a local minimum. 2 If D > 0 and f xx (a, b) < 0, then f (a, b) is a local maximum. 3 If D < 0, then f (a, b) is not a local maximum or minimum. In this case the point (a, b) is called a saddle point of f. Marius Ionescu () 14.7: Maxima and Minima October 29, / 13

19 Important Fact 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. Marius Ionescu () 14.7: Maxima and Minima October 29, / 13

20 Example Example The function f has continuous second derivatives, and a critical point at (1, 2). Suppose that f xx (1, 2) = 1, f xy (1, 2) = 4 and f yy (1, 2) = 18. Then the point (1, 2) is 1 a local maximum 2 a local minimum 3 a saddle point 4 cannot be determined. Marius Ionescu () 14.7: Maxima and Minima October 29, / 13

21 Example Example The function f has continuous second derivatives, and a critical point at (1, 2). Suppose that f xx (1, 2) = 1, f xy (1, 2) = 4 and f yy (1, 2) = 18. Then the point (1, 2) is 1 a local maximum 2 a local minimum 3 a saddle point 4 cannot be determined. What if f yy (1, 2) = 16? Marius Ionescu () 14.7: Maxima and Minima October 29, / 13

22 Example Example Find the local maximum and minimum values and saddle points of f (x, y) = x 4 + y 4 4xy + 1. Marius Ionescu () 14.7: Maxima and Minima October 29, / 13

Maxima and Minima. Marius Ionescu. November 5, Marius Ionescu () Maxima and Minima November 5, / 7

Maxima and Minima. Marius Ionescu. November 5, Marius Ionescu () Maxima and Minima November 5, / 7 Maxima and Minima Marius Ionescu November 5, 2012 Marius Ionescu () Maxima and Minima November 5, 2012 1 / 7 Second Derivative Test Fact Suppose the second partial derivatives of f are continuous on a

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