Semester 1 Review Unit vector =. A line that contains the point P(x 0,y 0,z 0 ) and direction vector : parametric symmetric.

Slides:



Advertisements
Similar presentations
Chapter 17 Multivariable Calculus.
Advertisements

Differentiation Revision for IB SL.
Chapter 11-Functions of Several Variables
The Chain Rule Section 3.6c.
Section 16.5 Local Extreme Values
Partial Derivatives Definitions : Function of n Independent Variables: Suppose D is a set of n-tuples of real numbers (x 1, x 2, x 3, …, x n ). A real-valued.
Question 1 How do you find the equation of a perpendicular bisector of a straight line ? 1.1.
Chapter : Differentiation. Questions 1. Find the value of Answers (1) 2. If f(x) = 2[2x + 5]⁴, find f ‘ (-2) Answers(2) 3. If y = 2s⁶ and x = 2s – 1,
DMO’L.St Thomas More C4: Starters Revise formulae and develop problem solving skills
Chapter 9: Vector Differential Calculus Vector Functions of One Variable -- a vector, each component of which is a function of the same variable.
ESSENTIAL CALCULUS CH11 Partial derivatives
An old friend with a new twist!
Final Jeopardy 203. Col Differentials 100 MaxMin 100 MaxMin 100 Curves 100 Col Differentials 200 Partial Deriv’s 200 MaxMin 200 Doub. Ints.
9.2 The Directional Derivative 1)gradients 2)Gradient at a point 3)Vector differential operator.
15 PARTIAL DERIVATIVES.
Coordinate Systems.
Public – 2007 One Mark Questions One Mark Questions PREPARED BY:
VECTOR FUNCTIONS 13. VECTOR FUNCTIONS Later in this chapter, we are going to use vector functions to describe the motion of planets and other objects.
Mathematics for Business (Finance)
1 Chapter 2 Vector Calculus 1.Elementary 2.Vector Product 3.Differentiation of Vectors 4.Integration of Vectors 5.Del Operator or Nabla (Symbol  ) 6.Polar.
Math 205: Midterm #2 Jeopardy! April 16, Jeopardy ! Definitions Partial Derivatives 1 Partial Derivatives 2 Integration
Jeopardy 203. Formulas 100 Lines 100 Planes 100 Surfaces 100 Curves 100 Formulas 101 Lines 200 Planes 200 Surfaces 200 Curves 200 Formulas 102 Lines 300.
Vector Calculus CHAPTER 9.5 ~ 9.9. Ch9.5~9.9_2 Contents  9.5 Directional Derivatives 9.5 Directional Derivatives  9.6 Tangent Planes and Normal Lines.
Copyright © 2011 Pearson Education, Inc. Publishing as Pearson Addison-Wesley Chapter 12 Functions of Several Variables.
1.3 Lines and Planes. To determine a line L, we need a point P(x 1,y 1,z 1 ) on L and a direction vector for the line L. The parametric equations of a.
3.4 Linear Programming p Optimization - Finding the minimum or maximum value of some quantity. Linear programming is a form of optimization where.
Implicit Differentiation
Consider minimizing and/or maximizing a function z = f(x,y) subject to a constraint g(x,y) = c. y z x z = f(x,y) Parametrize the curve defined by g(x,y)
LAGRANGE mULTIPLIERS By Rohit Venkat.
Warm Up 10/3/13 1) The graph of the derivative of f, f ’, is given. Which of the following statements is true about f? (A) f is decreasing for -1 < x
Functions of Several Variables Copyright © Cengage Learning. All rights reserved.
Sec 15.6 Directional Derivatives and the Gradient Vector
Tangents and Normals We’re going to talk about tangents and normals to 3-D surfaces such as x 2 + y 2 + z 2 = 4 It’s useful to think of these surfaces.
Section 15.6 Directional Derivatives and the Gradient Vector.
Lines and Planes In three dimensions, we use vectors to indicate the direction of a line. as a direction vector would indicate that Δx = 7, Δy = 6, and.
Directional Derivatives and Gradients
Tangent Planes and Normal Lines
Extreme Values Let f (x,y) be defined on a region R containing P(x 0,y 0 ): P is a relative max of f if f (x,y) ≤ f (x 0,y 0 ) for all (x,y) on an open.
LaGrange Multipliers Consider an example from Calculus I:
Arc Length and Curvature
Double Integrals in Polar Coordinates. Sometimes equations and regions are expressed more simply in polar rather than rectangular coordinates. Recall:
Copyright © Cengage Learning. All rights reserved. 14 Partial Derivatives.
Section Lagrange Multipliers.
Optimization Ex. A rectangular box lies on the xy-axis with one vertex on the origin. If the opposite vertex lies on the plane 3x + 2y + z = 12, find.
Section 15.3 Constrained Optimization: Lagrange Multipliers.
Vector Functions A vector function is a vector whose components are real-valued functions of a common variable (parameter), usually t.  We’ve seen a vector.
Calculus Continued Tangents and Normals Example Find the equations of the tangent and normal to the graph of at the point where.
CHAPTER 9.10~9.17 Vector Calculus.
Suppose that D is a simple region (a region which is both x-simple and y-simple) and that F = P(x,y)i + Q(x,y)j where P(x,y) and Q(x,y) are each functions.
Chapter 2 Vector Calculus
Another sufficient condition of local minima/maxima
Functions of Several Variables
Lines and Planes In three dimensions, we use vectors to indicate the direction of a line. as a direction vector would indicate that Δx = 7, Δy = 6, and.
Chapter 14 Partial Derivatives.
(8.2) - The Derivative of the Natural Logarithmic Function
Copyright © Cengage Learning. All rights reserved.
Problem of the Day (Calculator Allowed)
CHAPTER 5 PARTIAL DERIVATIVES
Find the derivative of the vector function r(t) = {image}
Math 200 Week 6 - Monday Tangent Planes.
Chapter 3 1. Line Integral Volume Integral Surface Integral
Do your homework meticulously!!!
Surface Integrals.
Applications of the Derivative
Tangent and Normal Vectors
Copyright © Cengage Learning. All rights reserved.
Differentials and Error
Find the directional derivative of the function at the given point in the direction of the vector v. {image}
Derivatives and Graphing
Presentation transcript:

Semester 1 Review Unit vector =

A line that contains the point P(x 0,y 0,z 0 ) and direction vector : parametric symmetric

The equation of the plane containing point P(x 0,y 0,z 0 ) with normal vector, Ex. Let θ be the angle between the planes 5y + 6z = 2 and 2x + 8y – 3z = 1. Find cos θ.

Sketching 3-D Ex. Sketch

Cylind  RectRect  Cylind Spher  RectRect  Spher

Parameterizing curves: Derivative and integral of vector functions Ex. Find the parametric equations of the line tangent to at (1,4,4).

Ex. Find if and

If r(t) = displacement vector, then r(t) = velocity v(t) r  (t) = accelerationa(t) |r(t)| = speedv(t)

First and second partial derivatives Implicit differentiation: Total Differential: dz = f x dx + f y dy

Let w = f (x,y), with x = g(t) and y = h(t): Gradient is orthogonal to level curve of f Directional derivative of f in the direction of unit vector u is

Ex. Find the parametric equations of the line tangent to the curve of intersection of and at (-1,1,2).

Critical point = where f x and f y are both zero, or where one is undefined d = f xx (a,b) f yy (a,b) – [ f xy (a,b)] 2 If d > 0 and f xx (a,b) < 0, then (a,b) is a rel. max. If d > 0 and f xx (a,b) > 0, then (a,b) is a rel. min. If d < 0, then (a,b) is a saddle point. If d = 0, then the test fails.

Ex. Find the critical points of and classify them as relative maximum, relative minimum, or saddle point.

Ex. Use Lagrange multipliers to find the maximum value of subject to the constraint

Multiple Integrals – changing order Ex.

Ex. Find the volume bounded by x 2 + y 2 = 64, under the plane z = y, and in the first octant.

where ρ is density Surface area: Jacobian:

Ex. Evaluate, where R is the region bounded by

Bring your textbooks and ID cards on the first day of next semester so that we can exchanged them