just the maths slides number 14 5 partial differentiation
play

JUST THE MATHS SLIDES NUMBER 14.5 PARTIAL DIFFERENTIATION 5 - PDF document

JUST THE MATHS SLIDES NUMBER 14.5 PARTIAL DIFFERENTIATION 5 (Partial derivatives of composite functions) by A.J.Hobson 14.5.1 Single independent variables 14.5.2 Several independent variables UNIT 14.5 PARTIAL DIFFERENTIATION 5


  1. “JUST THE MATHS” SLIDES NUMBER 14.5 PARTIAL DIFFERENTIATION 5 (Partial derivatives of composite functions) by A.J.Hobson 14.5.1 Single independent variables 14.5.2 Several independent variables

  2. UNIT 14.5 PARTIAL DIFFERENTIATION 5 PARTIAL DERIVATIVES OF COMPOSITE FUNCTIONS 14.5.1 SINGLE INDEPENDENT VARIABLES We shall be concerned with functions, f ( x, y... ), of two or more variables in which those variables are not inde- pendent, but are themselves dependent on some other variable, t . The problem is to calculate the rate of increase (positive or negative) of such functions with respect to t . Let t be subject to a small increment of δt , so that the variables, x, y... , are subject to small increments of δx, δy, . . . , respectively. The corresponding increment, δf , in f ( x, y... ), is given by δf ≃ ∂f ∂xδx + ∂f ∂yδy + . . . 1

  3. Note: It is not essential to use a specific formula , such as w = f ( x, y.. ). Dividing throughout by δt gives δf δt ≃ ∂f ∂x.δx δt + ∂f ∂y.δy δt + . . . Allowing δt to tend to zero, we obtain the standard result for the “total derivative” of f ( x, y.. ) with respect to t , d f d t = ∂f ∂x. d x d t + ∂f ∂y. d y d t + . . . This rule may be referred to as the “chain rule” , but more advanced versions of it will appear later. EXAMPLES 1. A point, P, is moving along the curve of intersection of the surface whose cartesian equation is x 2 16 − y 2 9 = z (a Paraboloid) and the surface whose cartesian equation is x 2 + y 2 = 5 (a Cylinder) . 2

  4. If x is increasing at 0.2 cms/sec, how fast is z changing when x = 2 ? Solution We may use the formula d z d t = ∂z ∂x. d x d t + ∂z ∂y. d y d t, where d x d t = 0 . 2 and d y d t = d y d x. d x d t = 0 . 2d y d x. From the equation of the paraboloid, ∂z ∂x = x 8 and ∂z ∂y = − 2 y 9 . From the equation of the cylinder, d y d x = − x y. Substituting x = 2 gives y = ± 1 on the curve of intersection, so that d z  2  − 2  − 2  1 4 + 4          (0 . 2) +  ( ± 1)(0 . 2)  = 0 . 2 d t =          8 9 ± 1 9 = 5 36 cms / sec . 3

  5. 2. Determine the total derivative of u with respect to t in the case when u = xy + yz + zx, x = e t , y = e − t and z = x + y. Solution We use the formula d u d t = ∂u ∂x. d x d t + ∂u ∂y. d y d t + ∂u ∂z. d z d t, where ∂u ∂u ∂u ∂x = y + z, ∂y = z + x, ∂z = x + y and d x d t = e t = x, d y d t = − e − t = − y, d z d t = e t − e − t = x − y. Hence, d u d t = ( y + z ) x − ( z + x ) y + ( x + y )( x − y ) = − zy + zx + x 2 − y 2 = z ( x − y ) + ( x − y )( x + y ) . That is, d u d t = ( x − y )( x + y + z ) . 4

  6. 14.5.2 SEVERAL INDEPENDENT VARIABLES We may now extend the previous work to functions, f ( x, y.. ), of two or more variables in which x, y.. are each depen- dent on two or more variables, s, t.. Since the function f ( x, y.. ) is dependent on s, t.. , we may wish to determine its partial derivatives with respect to any one of these (independent) variables. The result previously established for a single indepen- dent variable may easily be adapted as follows: ∂f ∂s = ∂f ∂x.∂x ∂s + ∂f ∂y.∂y ∂s + . . . ∂f ∂t = ∂f ∂x.∂x ∂t + ∂f ∂y.∂y ∂t + . . . Again, this is referred to as the “chain rule” . EXAMPLES 1. Determine the first-order partial derivatives of z with respect to r and θ in the case when z = x 2 + y 2 , where x = r cos θ and y = r sin 2 θ. 5

  7. Solution We may use the formulae ∂z ∂r = ∂z ∂x.∂x ∂r + ∂z ∂y.∂y ∂r, ∂z ∂θ = ∂z ∂x.∂x ∂θ + ∂z ∂y.∂y ∂θ. These give ∂z ∂r = 2 x cos θ + 2 y sin 2 θ cos 2 θ + sin 2 2 θ � � = 2 r . ∂z ∂θ = 2 x ( − r sin θ ) + 2 y (2 r cos 2 θ ) = 2 r 2 (2 cos 2 θ sin 2 θ − cos θ sin θ ) . 2. Determine the first-order partial derivatives of w with respect to u , θ and φ in the case when w = x 2 + 2 y 2 + 2 z 2 , where x = u sin φ cos θ, y = u sin φ sin θ and z = u cos φ. 6

  8. Solution ∂w ∂u = ∂w ∂x.∂x ∂u + ∂w ∂y .∂y ∂u + ∂w ∂z .∂z ∂u, ∂w ∂θ = ∂w ∂x.∂x ∂θ + ∂w ∂y .∂y ∂θ + ∂w ∂z .∂z ∂θ ∂w ∂φ = ∂w ∂x.∂x ∂φ + ∂w ∂y .∂y ∂φ + ∂w ∂z .∂z ∂φ These give ∂w ∂u = 2 x sin φ cos θ + 4 y sin φ sin θ + 4 z cos φ = 2 u sin 2 φ cos 2 θ + 4 u sin 2 φ sin 2 θ + 4 u cos 2 φ, ∂w ∂θ = − 2 xu sin φ sin θ + 4 yu sin φ cos θ = − 2 u 2 sin 2 φ sin θ cos θ + 4 u 2 sin 2 φ sin θ cos θ = 2 u 2 sin 2 φ sin θ cos θ ∂w ∂φ = 2 xu cos φ cos θ + 4 yu cos φ sin θ − 4 zu sin φ = 2 u 2 sin φ cos φ cos 2 θ + 4 u 2 sin φ cos φ sin 2 θ − 4 u 2 sin φ cos φ = 2 u 2 sin φ cos φ cos 2 θ + 2sin 2 θ − 2 � � . 7

Download Presentation
Download Policy: The content available on the website is offered to you 'AS IS' for your personal information and use only. It cannot be commercialized, licensed, or distributed on other websites without prior consent from the author. To download a presentation, simply click this link. If you encounter any difficulties during the download process, it's possible that the publisher has removed the file from their server.

Recommend


More recommend