We study synthetic division and remainder theorem. This wraps up Chapter 7.
We study synthetic division and remainder theorem. This wraps up Chapter 7.
We review measuration, with the focus on:
Homework: from Page1, Page2, Page3:
#5- #18
We start a new chapter on polynomials. We review the basics of polynomial and talk about the login division.
We go over the application of vectors, particularly in geometry. Last week the substitute teacher did not get to go over this section.
Notice when vector AB = vector DC, it means line AB is parallel to line DC and AB = DC.
If you have not done your homework last week because you have some questions on certain problems, please do them now:
Homework: Page 1, Page 2, Page 3, Page 4, Page 5, Page 6
Workbook Page 33: # 8, #9, #13, #19 – #26
We study hyperbola. This concludes the chapter on conic functions.
We study circles and ellipses. More info in email.
We continue our study of vectors.
We can simplify the position of a point P on a plane by the vector OP where O is a reference point on the plane. The vector OP is called the position vector of P with respect to the reference point O. That is, every point on the plane can be represented by its position vector wrt the reference point O.
Then vector PQ = vector OQ – vector OP.
Furthermore, when we look at the coordinate plane for a point P (x, y), we can use its coordinates x and y to represent its position vector with respect to the origin O. We introduce column vector notation. A column vector is like a special form of a matrix (2 rows, 1 column). All matrix operations apply to column vectors.
We can apply what we have learned about vectors to help us solve geometry problems.
Notice when vector AB = vector DC, it means line AB is parallel to line DC and AB = DC.
Homework: Page 1, Page 2, Page 3, Page 4, Page 5, Page 6
Workbook Page 33: # 8, #9, #13, #19 – #26
For a given vector a, a vector which has the same magnitude but in the opposite direction of a is called the negative of vector a , and is denoted by –a.
The subtraction of a vector v from a vector u can be denoted as adding the vector –v to u: u – v = u + (-v).
A vector with the same initial point and the terminal point has zero magnitude. It is called a zero vector, or a null vector, and is denoted by 0. a + (-a) = a – a = 0.
When a vector a is multiplied by a constant k, the product ka is called a scalar multiplication of a and is defined as follows:
* If k > 0, ka is a vector with magnitude k|a| and in the same direction as a;
* If k < 0, ka is a vector with magnitude -k|a| and in the opposite direction of a;
* If k = 0, ka is a zero vector 0.
Homework: Page 1, Page 2, Page 3, Page 4, Page 5
Workbook Page 33, #6, #7, #10, #11, #14 – #18, #20, #21.
We study parabola, with its relationship to quadratic functions.
We start the new chapter on vectors.
While a scalor is a quantity that has only magnitude, a vector is a quantity that has both magnitude and direction. We usually use directed line segment to represent a vector. The direction of the line segment, indicated by an arrow, represents the direction of the vector, and the length of the line segment represents the magnitude of the vector.
Two vectors are equal if they have equal magnitude and are in the same direction.
For vector additions, we study the triangle law and parallelogram law of vector additions.
Homework:
Page 1, Page 2, Page 3, Page 4
Workbook P 31, #1, #2, #3, #4, #5, #12, #15.