Timothy Morris

X
ME

timothy.morris@csus.edu
  • Bachelors in Physics
  • Ph.D. in Mathematics

Math 35; Spring, 2016


Sect 1: Mon, Wed, Fri in ALP 227 at 10:00 - 10:50

Homework
    HW 1 due Fri Feb 5
    Sec 1.3, Pgs 30-32
    2,14,24,34,38
    HW 2 due Mon Feb 15
    Sec 1.4, Pgs 40-41
    10,14,22,32
    Sec 1.5, Pgs 52-53
    4,22,31,34
    Sec 1.6, Pgs 62-63
    2,6,10,16
    HW 3 due Mon Feb 22
    Sec 2.1, Pgs 94,95
    2,6,8,13
    Sec 2.2, Pgs 114,115
    8,10,20
    Sec 2.3, Pgs 124-126
    2,8,21
    HW 4 due Wed, Mar 16
    Sec 3.2, Pgs 154,156
    2,4,8,10,12
    Sec 3.3, Pg 164
    15,16,17
    Sec 4.1, Pgs 187-188
    6,14,18,19
    HW 5 due Wed, Mar 30
    Sec 4.2, Pgs 196,197
    1,7,10,24
    Sec 4.3, Pg 205-207
    2,5(a,d),6(a,d),25
    Sec 4.4, Pgs 215,216
    4,5,13,14
    HW 6 due Fri, Apr 8
    Sec 4.5, Pgs 226-228
    1,4,11,12,23
    Sec 4.6, Pg 242-244
    1,4,14,24,33
    Sec 4.8, Pgs 267,268
    3,5,8,11,23
    HW 7 due Fri, May 6
    Sec 5.1, Pgs 297-298
    1,4,6,15,25
    Sec 5.3, Pg 317-319
    3,11,30
    Sec 5.4, Pgs 329-331
    10,18
    Sec 6.1, Pgs 372-375
    2,8,12
    Sec 6.2, Pgs 387-389
    1,2,8,15
    HW 8 due Fri, May 13
    Sec 7.1, Pgs 450-452
    6,11,14,29
    Sec 7.2, Pgs 461-462
    2,6,9,11

Projects

Announcements
Test 3 Wed, May 11
Topics will include:
  • Sec 5.1
    • Finding the length of a vector in \(\mathbb{R}^2\) or \(\mathbb{R}^3\)
    • Finding Dot products and how they relate to direction
  • Sec 5.3
    • Definition of an Inner Product
    • Definition of an Inner Product Space
    • Cauchy-Schwarz Inequality
    • Defintion of distance
    • Defintion of orthogonal
    • Defintion of orthonormal
  • Sec 5.4
    • Be able to use the Gram-Schmidt Process to find an orthonormal basis for "small" inner product spaces
  • Sec 6.1
    • Know the defintion of a linear transformation
    • Be able to find the standard matrix representing a linear transformation.
  • Sec 6.2
    • Know what it means for a linear transformation to be one-to-one
    • Know what it means for a linear transformation to be onto
    • Know how to find the kernel of a linear transformation
    • Be able to find the range of a linear transformation
  • Sec 7.1
    • Know the definition of an eigenvector and an eigenvalue
    • Be able to find eigenvectors and eigenvalues.
  • Sec 7.2
    • Know what it means for a matrix to be diagonalizable
    • Be able to diagonalize a "small" matrix

Handouts/Course Resources