DOC PREVIEW
UIUC MATH 241 - Lecture21014

This preview shows page 1-2-16-17-18-34-35 out of 35 pages.

Save
View full document
View full document
Premium Document
Do you want full access? Go Premium and unlock all 35 pages.
Access to all documents
Download any document
Ad free experience
View full document
Premium Document
Do you want full access? Go Premium and unlock all 35 pages.
Access to all documents
Download any document
Ad free experience
View full document
Premium Document
Do you want full access? Go Premium and unlock all 35 pages.
Access to all documents
Download any document
Ad free experience
View full document
Premium Document
Do you want full access? Go Premium and unlock all 35 pages.
Access to all documents
Download any document
Ad free experience
View full document
Premium Document
Do you want full access? Go Premium and unlock all 35 pages.
Access to all documents
Download any document
Ad free experience
View full document
Premium Document
Do you want full access? Go Premium and unlock all 35 pages.
Access to all documents
Download any document
Ad free experience
View full document
Premium Document
Do you want full access? Go Premium and unlock all 35 pages.
Access to all documents
Download any document
Ad free experience
Premium Document
Do you want full access? Go Premium and unlock all 35 pages.
Access to all documents
Download any document
Ad free experience

Unformatted text preview:

Partial Derivatives (§14.3)Tangent Planes and Differentiability (§14.4)Chain Rule (§14.5)Partial Derivatives (§14.3)Tangent Planes and Differentiability (§14.4)Chain Rule (§14.5)Math 241, Spring 2014Jayadev S. AthreyaSpring 2014Jayadev S. Athreya Math 241, Spring 2014Partial Derivatives (§14.3)Tangent Planes and Differentiability (§14.4)Chain Rule (§14.5)How functions changeWe will be interested in how functions change, and how toapproximate them by functions we can understand. In1-variable, the derivative played two roles:Rate of change f0(x) tells us how fast the function f waschanging at x.Linear approximation f0(x) is the slope of the tangent line at(x, f (x)), which gives us a good approximation tothe function.Jayadev S. Athreya Math 241, Spring 2014Partial Derivatives (§14.3)Tangent Planes and Differentiability (§14.4)Chain Rule (§14.5)Partial derivativesGiven a function of 2 variables f(x, y ), we can hold one of thevariables fixed and let the other one change, to get functions ofone-variable, and can compute derivatives of those functions:∂∂xThe partial derivative with respect to x at (a, b),denoted∂f∂x(a, b) is given by (if the limit exists)∂f∂x(a, b) = limh→0f (a + h, b) −f (a, b)hOther notation Sometimes we write (Dxf )(a, b), or fx(a, b)Jayadev S. Athreya Math 241, Spring 2014Partial Derivatives (§14.3)Tangent Planes and Differentiability (§14.4)Chain Rule (§14.5)Partial derivativesGiven a function of 2 variables f(x, y ), we can hold one of thevariables fixed and let the other one change, to get functions ofone-variable, and can compute derivatives of those functions:∂∂yThe partial derivative with respect to y at (a, b),denoted∂f∂h(a, b) is given by (if the limit exists)∂f∂y(a, b) = limh→0f (a, b + h) −f(a, b)hOther notation Sometimes we write (Dyf )(a, b), or fy(a, b)Jayadev S. Athreya Math 241, Spring 2014Partial Derivatives (§14.3)Tangent Planes and Differentiability (§14.4)Chain Rule (§14.5)ExampleJayadev S. Athreya Math 241, Spring 2014Partial Derivatives (§14.3)Tangent Planes and Differentiability (§14.4)Chain Rule (§14.5)More Examplesf (x, y) = ex+yf (x, y) = sin(xy)f (x, y) = ex2f (x, y) = x3y2Jayadev S. Athreya Math 241, Spring 2014Partial Derivatives (§14.3)Tangent Planes and Differentiability (§14.4)Chain Rule (§14.5)Slopes of Tangent Lines                                                                                                            Jayadev S. Athreya Math 241, Spring 2014Partial Derivatives (§14.3)Tangent Planes and Differentiability (§14.4)Chain Rule (§14.5)Partial derivatives: 3DGiven a function of 3 variables f (x, y, z), we can hold all but one ofthe variables fixed and let the other one change, to get functions ofone-variable, and can compute derivatives of those functions:∂∂xThe partial derivative with respect to x at (a, b, c),denoted∂f∂x(a, b, c) is given by (if the limit exists)∂f∂x(a, b, c) = limh→0f (a + h, b, c) − f (a, b, c)hOther notation Sometimes we write (Dxf )(a, b, c), or fx(a, b, c)Jayadev S. Athreya Math 241, Spring 2014Partial Derivatives (§14.3)Tangent Planes and Differentiability (§14.4)Chain Rule (§14.5)Partial derivatives: 3DGiven a function of 3 variables f (x, y, z), we can hold all but one ofthe variables fixed and let the other one change, to get functions ofone-variable, and can compute derivatives of those functions:∂∂yThe partial derivative with respect to y at (a, b),denoted∂f∂y(a, b) is given by (if the limit exists)∂f∂y(a, b, c) = limh→0f (a, b + h, c) −f (a, b, c)hOther notation Sometimes we write (Dyf )(a, b, c), or fx(a, b, c)Jayadev S. Athreya Math 241, Spring 2014Partial Derivatives (§14.3)Tangent Planes and Differentiability (§14.4)Chain Rule (§14.5)Partial derivatives: 3DGiven a function of 3 variables f (x, y), we can hold all but one of thevariables fixed and let the other one change, to get functions ofone-variable, and can compute derivatives of those functions:∂∂zThe partial derivative with respect to y at (a, b),denoted∂f∂z(a, b) is given by (if the limit exists)∂f∂z(a, b, c) = limh→0f (a, b, c + h) − f (a, b, c)hOther notation Sometimes we write (Dzf )(a, b, c), or fz(a, b, c)Jayadev S. Athreya Math 241, Spring 2014Partial Derivatives (§14.3)Tangent Planes and Differentiability (§14.4)Chain Rule (§14.5)Examplesf (x, y, z) = z2x + zy + xyf (x, y, z) = zex2+yf (x, y, z) = sin(xz) + cos(xy)f (x, y, z) = ex2+y2f (x, y, z) = x3y2+ cos zJayadev S. Athreya Math 241, Spring 2014Partial Derivatives (§14.3)Tangent Planes and Differentiability (§14.4)Chain Rule (§14.5)Partial derivatives: n-dimensionsGiven a function of n variables f (x1, . . . , xn), we can hold one of thevariables fixed and let the other one change, to get functions ofone-variable, and can compute derivatives of those functions:∂∂xiThe partial derivative with respect to xiatp = (p1, . . . , pn), denoted∂f∂x(p) is given by (if the limitexists)∂f∂xi(p) = limh→0f (p1, . . . , pi+ h, . . . , pn) −f (p)hOther notation (Dxif )(p) or (Dif )(p), or fxi(p)Jayadev S. Athreya Math 241, Spring 2014Partial Derivatives (§14.3)Tangent Planes and Differentiability (§14.4)Chain Rule (§14.5)Tangent PlanesConsider


View Full Document

UIUC MATH 241 - Lecture21014

Documents in this Course
Notes

Notes

9 pages

16_05

16_05

29 pages

16.6

16.6

43 pages

16_07

16_07

34 pages

16_08

16_08

12 pages

16_09

16_09

13 pages

exam1

exam1

10 pages

exam2

exam2

7 pages

exam3

exam3

9 pages

15_03

15_03

15 pages

15_04

15_04

13 pages

15_04 (1)

15_04 (1)

13 pages

15_05

15_05

31 pages

15_10

15_10

27 pages

15_07

15_07

25 pages

15_08

15_08

12 pages

15_09

15_09

24 pages

15_10_B

15_10_B

8 pages

16_04

16_04

17 pages

14_01

14_01

28 pages

12_06

12_06

12 pages

12_05

12_05

19 pages

12_04

12_04

26 pages

Lecture1

Lecture1

31 pages

Lecture 9

Lecture 9

41 pages

Lecture 8

Lecture 8

35 pages

Lecture 7

Lecture 7

40 pages

Lecture 6

Lecture 6

49 pages

Lecture 5

Lecture 5

26 pages

Lecture 4

Lecture 4

43 pages

Lecture 3

Lecture 3

29 pages

Lecture 2

Lecture 2

17 pages

m2-1

m2-1

6 pages

-

-

5 pages

Load more
Download Lecture21014
Our administrator received your request to download this document. We will send you the file to your email shortly.
Loading Unlocking...
Login

Join to view Lecture21014 and access 3M+ class-specific study document.

or
We will never post anything without your permission.
Don't have an account?
Sign Up

Join to view Lecture21014 2 2 and access 3M+ class-specific study document.

or

By creating an account you agree to our Privacy Policy and Terms Of Use

Already a member?