Download presentation

1
More Vectors

2
**Linear Combination of Vectors**

These two vectors are on the same line (collinear)

3
**Linear Combination Since u and v are collinear: Therefore: From (2):**

Thus:

4
Linear Combination Definition: any two non-collinear vectors form a basis for the plane in which they lie, and any other vector in that plane can be written as a linear combination of these basis vectors Assume We must demonstrate that these two vectors are not collinear From the 1st element: Since these are different, u and v are not collinear and hence form a basis for the plane. From the 2nd element:

5
Linear Combination Therefore:

6
**Linear Combination Thus we have Note: x is coplanar with u and v**

Therefore:

7
**Linear Combination Theorem:**

Are u=(2, -1, -2), v=(1, 1, 1) and w=(1, -5, -7) coplanar? Therefore the vectors are coplanar

8
**Equations of Lines in the Plane**

In order to determine a straight line it is enough to specify either of the following sets of information: Two points on the line, or One point on the line and its direction For a line a fixed vector is called a direction vector for the line if it is parallel to Note: every line has an infinite number of direction vectors that can be represented as where is one direction vector for the line and t is a non-zero real number.

9
**Equations of Lines in a Plane**

Find a direction vector for each line The line l1 through points A(4,-5) and B(3, -7) The line l2 with slope 4/5 Any scalar multiple of (-1,-2) could also be used as a direction vector of l1 a) Therefore a direction vector for l1 can be given by vector (-1, -2) b) A line with slope 4/5 that passes through the origin would pass through the point (5,4). Thus we can use direction vector (5,4) for l2

10
**Equations of Lines in the Plane**

Pick any point P(x,y) on the line. Because P is on the line, the vector P0P (from PO to P, can be written as a scalar multiple of the direction vector d=(1,2): that is

11
Equations of Lines (2D) For each real value of the scalar t in the vector equations corresponds to a point on the line. This scalar is called the parameter for the equation of the line. d1 and d2 are called direction numbers of the line

12
Understanding Find vector and parametric equations of the line through points A(1,7) and B(4,0) A direction vector for this line is: Thus, a vector equation of this line is: From the vector equation we can obtain the parametric equation

13
Equations of Lines (2D) Yet another form of equation of a line evolves from solving the parametric equations for the parameter. Therefore

14
Understanding For each pair of equations, determine whether or not they describe the same line

15
Understanding For each pair of equations, determine whether or not they describe the same line Step 1: compare the direction vector in both lines Step 2: see if a point on one line is also on the other line The direction vectors are parallel Pick the point (4,4) and check When r=1, we have a match Therefore these equations are for the same line

16
Understanding For each pair of equations, determine whether or not they describe the same line Step 1: compare the direction vector in both lines Step 2: see if a point on one line is also on the other line The direction vectors are parallel Pick the point (2,0) and check Since the left-side does not match the right side, the lines are different

17
Understanding For each pair of equations, determine whether or not they describe the same line Step 1: compare the direction vector in both lines The direction vectors are not parallel, therefore these lines cannot be identical

18
**Equations of Lines in Space**

Vector Equation: Parametric Equations: Symmetric Equations:

19
Understanding Find the vector, parametric, and symmetric equations for the line through the points A(1, 7, -3) and B(4, 0, 2). First determine the direction vector: A vector equation is: A parametric equation is: A symmetric equation is:

20
Direction Numbers One alternative technique for describing the direction of a line focusses on the direction angles of the line.

21
**Direction Numbers in a Space**

22
**Direction Cosines In the Plane: In Space: Note:**

The direction cosines of a line are the components of a unit vector in the direction of the line

23
Understanding The line l has direction vector (1,3,5). Find its direction cosines and thus its direction angles So,

24
Understanding Determine the angle, to the nearest degree, that (1, 2, -3) makes with the positive x-axis.

25
**Understanding Find the cosines for the line: The direction vector is:**

This vector is not in the upper half-space (last coordinate is not positive) So we choose: This direction vector (parallel to the first) is in the upper half-space

26
**Understanding For the line we could use the direction vector**

However, we can obtain “nicer numbers” is we use Then a vector equation is: Parametric equations are:

Similar presentations

Presentation is loading. Please wait....

OK

Vectors Sections 6.6.

Vectors Sections 6.6.

© 2018 SlidePlayer.com Inc.

All rights reserved.

Ads by Google

Ppt on kingdom monera definition Ppt on isobars and isotopes of helium Ppt on stock market free download Ppt on job satisfaction of employees Ppt on meaning of education Ppt on fire extinguisher types 300 Ppt on 5 star chocolate desserts Ppt on women empowerment Training ppt on 5s Ppt on spinal cord diseases