MAT2705 24F homework and daily class log doing homework

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Daily lecture notes and your homework will appear here each day as it is assigned, including some PDF and/or Maple problem solution files or PDF notes, with occasional links to some MAPLE worksheets when helpful to illustrate some points where technology can be useful. [There are 56 class days in the semester, 4 each normal week, numbered consecutively below and  labeled by the (first initial of the) day of the week.]

It is important that you read the section in the book from which homework problems have been selected before attempting them.

It is your responsibility to check homework here since most but not all homework exercises are online in the MyLab Math portal entered through BlackBoard. Homework hints and some textbook exercise solutions are also found here. You are responsible for requesting any paper handouts or returned tests or quizzes from classes you missed. Homework is understood to be done by the  next class meeting (unless that class is a test, in which case the homework is due the following class meeting), but the online deadline will be stated as midnight of the due day so that you have time in class or after to ask questions that you did not submit via the Ask Your Instructor online tool. You may correct submitted homework after the deadline without having to request an extension. You have unlimited tries.
[[A few occasional homework problems surrounded by double square brackets [[...]] are not in the online homework system but are important to do or at least read.]]

Read:  HOMEWORK ADVICE;

  1. M:  (August 26)
    DURING CLASS:
    Lecture Notes 1.1a: Differential Equations: how to state them and "check" a solution;  << READ THIS PLEASE!
    summary handout: odecheck.pdf  <<< this is all you need to do the HW but please read section 1.1 of the textbook, summarized in my four pages of lecture notes linked above.

    We will enter together the e-text MyLab Math portal and homework software inside the Content page of BlackBoard (Pearson materials) , as explained in the welcome email message! Please be ready for this by having connected your BlackBoard course to the e-portal, creating a Pearson account in the process.

    New to Maple 3 minute video [also in opening screen of Maple]
     
    AFTER CLASS (THIS IS THE HOMEWORK):
    1) Log in to My Nova, choose the Class Schedule with Photos, view fellow students.
    2)
    Go to BlackBoard and look at the class portal and Grade book for our course: you will find all your Quiz, Test and Homework grades here during the semester once there is something to post. Everything else we do apart from accessing our e-portal will take place through our course website.
    3) Make sure you have Maple 2024 on your local computer, available by clicking here  if you haven't already done so, and install it on your laptop when you get a chance (it takes about 15 minutes or less total), If you have any trouble, email me with an explanation of the errors. You are expected to be able to use Maple on your laptop when needed. We will develop the experience as we go.
    If you have any trouble, email me with a copy of your worksheet and an explanation of the errors. I can also help you in person.
    You are expected to be able to use Maple on your laptop when needed. We will develop the experience as we go.
          No previous experience is assumed.
    4) Enter the e-text MyLab Math Pearson portal if you have not already done so, as explained in the welcome email message!

    5) Homework Problems: 1.1: 3, 5, 13, 33
    (only a few problems so you can check out our class website and read about the course rules, advice, bob FAQ, etc, respond with your email).
    6) By the end of the week, reply to my welcome e-mail from your OFFICIAL Villanova e-mail account (which identifies you with your full name), telling about your last math courses, your comfort level with graphing calculators and computers and math itself,  how much experience you have with Maple if any (and Mathcad if appropriate) so far, why you chose your major, etc, anything you want to let me know about yourself that will give me more of an idea about you as a person. [For example, I like to do humorous sketching. and cooking.] Tell me what your previous math course was named (if at VU: Mat1500 = Calc 1, Mat1505 = Calc 2, Mat2500 = Calc3).
    [In ALL email to me, try to include the string "mat2705" somewhere in the subject heading if you want me to read it quickly. I filter my email.]

  2. T: check info on sign up sheet; dorm abbreviations;
    Lecture Notes 1.1b: Differential Equations: initial conditions
    [extra: initial data: what's the deal?]; [gravity fall example]
    1:1: 8, 23 [see Maple plot (execute worksheets by clicking on the !!! icon on the toolbar when necessary)];
    formulating DEs: 27,
    31 [as in 29 below: make a generic diagram like this one to calculate the slope of the tangent line and set it equal to the derivative .mw; namely the change in y over the change in x between these two points (x,y) and (y,-x) equals dy/dx], 
    35, 43;  perhaps in class together:
    [[29. Hint: recall perp lines have slopes which are negative reciprocals, the normal line is perpendicular to the tangent line and passes through the same point on the curve; make a diagram of the given point (0,1), a "generic" function graph curve whose normal at a point (x,y) on the curve passes through (0,1), and draw in the connecting normal line segment between these two points and the perpendicular tangent line, then compute the slope of the normal line from the two points, and then from the negative reciprocal of the derivative value, finally equate the two to get the DE: mw ]].

    New Maple users? I would be glad to show you one on one in my office how to get started.

    [memorize!: "A is proportional to B" means "A = k B" where k is some constant, independent of A and B]
    Proportionality statements must be converted to equalities with a constant of proportionality introduced:
    y is proportional to xy x  means y = k x . [y is a multiple of x]
    y
    is inversely proportional to xy ∝ 1/x  means y = k/x .
    y
    is inversely proportional to the square of xy ∝ 1/x2  means y = k/x2

  3. W: Math Center video; flyer;
    Lecture Notes 1.2: First order DEs independent of the unknown: y' = f(x)
    [finding particular antiderivatives interpreted as solving a first order initial value problem illustrated by textbook example problems:
     
     lunar landing example: mw, optional ignorable: Swimmer problem example: mw]
    1.2: 1, 5, 15,
    21 [Hint: write piecewise linear function from graph: v1(t) for first expression, v2(t) for second expression, solve first IVP for x1(0) = 0, second IVP for x2(4) = x1(4); example: pdf, mw],
    25 (like lunar landing problem example above), 35, 
    together in class:
    41 (first solve bomb drop IVP, evaluate time when it arrives at y = h (target height),  then solve projectile IVP with unknown inital velocity, then impose that it  reach height h at the given time: game plan; the second part is a boundary value problem!)
    [[
    important lesson on choice of units not in MyLab: 43, convert final answer  to appropriate units!]].

    Send me the email about yourself with your schedule attached please if you have not already done so.
  4. F: Quiz 1 on checking solutions to DEs, paper copy handed out in class  (read Test/Quiz rules): due in class Tuesday;
     (see archives for examplT
    Lecture Notes 1.3: First order DEs; Direction (= slope) fields and complications
    [directionfields.mw] [ode1-complications]
    1.3:  [use directionfields worksheet to plot:] 3, 5, [you don't need Maple to choose here but it gives you some practice]
    technicalities about complications or not:
    11, 15 [limited domain];  [partial derivative with respect to y is just what you expect; differentiate holding x fixed]
    [[in class plus HW drawing exercise: 1.3: 3: hand draw in all the curves with a pencil on the slope field printout.

    M: Labor Day

    WEEK 2[-1]:

  5. T: Lecture Notes 1.4a: Separable first order DEs
    [example 1: only implicit soln]
    1.4 (separable DEs): 1, 4, 9 [use Maple for antiderivative! add absolute value signs for ln integrals],
    25,  27 [first expand exponential into 2 factors e^(A+B)=e^A*e^B], 29.

  6. W: Lecture Notes 1.4b: Separable first order DEs
    handout on exponential behavior/ characteristic time [cooking roast in oven remarks]
    [how to choose exponential plot window];
    1.4: 33, 35,
    41 [hint: first we need to evaluate the fraction of the total U + L which is only U, namely U/(U+L)],
    45 [attentuation of signal--characteristic length],
    49 [cooling problem].

  7. F: Quiz 2 (separable DEs and directionfields; see archives):
    together in class:
    1.4: 69 [hanging cable problem
    [the derivation of this DE just involves some simple trig and calculus, but it is a complicated sequence of steps!this is typical of how you must follow a derivation of a DE in a STEM application, not just be handed a DE to solve;
    hyperbolic functions are important in DEs! [see wiki], so is working with problems involving parameters];
    catenaries in engineering: Google, GoogleImage;
     "fun" with Newton's law of cooling not online:
    [65 CSI problem (same as the in lecture example and problem 49 but at end we want to find a previous time instead of a subsequent time)].
    Ask bob for the Maple solution worksheets when done.



    WEEK 3[-1]:
  8. M: paper handout of classlist with dorms and phone numbers;
    check my office hours  in the class syllabus and your schedule to see compatibility;
    please read quiz answer key;
    Are online HW assignments available after due date?

    Lecture Notes 1.5a: Linear first order DEs
    online handout: recipe for first order linear DE
    1.5: 2, 5, 8, 21, 24 [u-sub integral];
    (these involve using rules of ln's and exp's).

    For future reference to get Maple soln of a DE (Maple template):
    enter DE alone or DE plus initial conditions separated by commas, from context menu at right choose Solve DE, for y(x)
    > y ' = x y , y(0)=1
    Use function notation to change independent variable:
    >
    y '(t) = t y(t) , y(0) = 1
    If you use the d/dx y(x) from the palette, you  must use function notation y(x) throughout the DE.


  9. T: Lecture Notes 1.5b: Linear first order DEs:complications  
    [accumulation functions]

    1.5: 15, 18, 24 (more practice);
    27 (switching independent and dependent variables),
    30 ( just do the linear procedure choosing the antiderivative as the definite integral from 1 to x without evaluating it, choose integrating factor for x > 0 application to IVP).

  10. W: check grades on BlackBoard please!
    Lecture Notes 1.5c: Linear first order DEs: Mixing Problems [1.5.37 worked by hand]
    [these mixing tank problems are an example of developing and solving a differential equation that models a physical situation, and one where we have some intuition];
    Solute (salt) plus solvent (water) makes a solution (salt water!); concentration of solute in solution = ratio of solute to solution;
    different concentrations equalize when mixed;

    1.5:  Use Eq. 18 in the book and plug in values of parameters:
     mixing DE
    solve by hand, then if necessary check with Maple template;
    respectively constant, decreasing, increasing volume cases: 33, 36, 37 (Maple worked solutions with textbook exercise numbers).



    Note: we are skipping 1.6: exact DE etc. These are less important, and Maple can solve these when needed anyway. A similar integrating factor technique works for exact equations but where the independent and dependent variables are on an equal footing.

  11. F: Quiz 3 on linear DEs;
    Chapter review problems are not in MyLab Math;
    1.R (review problems are not online!): in class we classify some of the odd problems 1-35 but don't solve them;
    [[ solve 25 [it can be done in two ways by expanding out the square on the RHS before integrating with integration constant C or by using a u-substitution with integration constant K; express K in terms of C by combining the two terms in the K solution [use the identity for expanding out (x+1)3 = x3+3 x2 +x+1] and then comparing with the C solution];
    both separable and linear:
    solve 31 in two ways and compare the results;
    solve 35 in two ways and compare the results;
    in both cases ---different constants enter your expressions, show how they agree]].

    Catch up on improving HW score. 


    WEEK 4[-1]: Chapter 2 is just applications of chapter 1.
  12. M: Lecture Notes 2.1a: First order DEs: Logistic Equation
    online handout on solution of logistic DEQ [Maple: directionfieldintegral formula, shape];
    2.1 (only the logistic DE part of the reading is necessary):
    5 (resolve the DE this one time following the steps in the Lecture Notes/handout or just use the final formula),
    17 (see Maple worksheet for setup problem 15);
    21 (initial value of population and its derivative given instead of population at two times, need to set k and P(0) with two conditions),
    23 (Rewrite in form dx/dt = k M x - k x2  = k x (M - x) to identify first k and then M to then use the logistic solution formula.).

  13. T: Lecture Notes 2.1b: First order DEs: More models, Separable: f(y)
    2.1 (other population models):
    online handout on DE's that don't involve the ind var explicitly cubic example;
    11 ["inversely propto sqrt": use β = k1/P^(1/2), δ = k2/P^(1/2) in eq.(1),
    beta and delta are fractional (logarithmic derivative) birth/death rates;
    this leads to P' ~ P^(1/2)]
    13 [P' ~ P^2],
    39 [oscillating growth, plot pure exponential and solution together, see Maple worksheet];
    optional: growth rate cutoff:  30,31 (not online).


  14. W: Lecture Notes 2.3: First order DEs: acceleration models
    2.3 (acceleration-velocity models: air resistance, section resistance proportional to velocity only, omit example 3):
    1, 3,
    9 [remember weight is mg, so mg = 32000 lb determines mass m = 1000 in USA "slug" units, convert final speed to mph for interpretation!],
    19.

    [optional reading to show what is possible: 
     air resistance in detail (example of a piecewise defined DE and solution and the importance of dimensionless variables;
     comparison of linear, quadratic cases; numerical solution for any power]


  15. F: Quiz 4 on the logistic DE; quiz 3 answer key online;
    Lecture Notes 2.4: First order DEs: numerical DE solving with Euler's method
    [Euler Tutor template for HW]
    2.4: 1, 7


    WEEK 5[-1]:
  16. M:  Lecture Notes 3.1: linear systems of equations: elimination, DEs; [mw]
    [inconsistent 3x3 system];
    Read 3.1 on linear systems (review of high school topic solving 2 or 3 linear equations in 2 or 3 variables),
    3.1: 2x2: 3, 5, 7;  3x3: 9; 2x2 IVP: 23, 27.

  17. T: Test 1 on first order DEs: one mathematical problem of each type, no word problems;

  18. W: 3.2: Lecture Notes 3.2: matrices and row reduction "elimination";
    handout on RREF (Reduced Row Echelon Form, section 3.3) [see bob's examples 2, 3 using Maple];
    3.2: 1, 5, 7, 9 [these are partially reduced, only requiring successive backsubstitution to solve, you can do this on paper];
    11,13,15,
    [you may do these by hand on paper or use step-by-step row ops with the MAPLE Tutor; we ALWAYS want a complete reduction, you can insert the complete Gauss-Jordan reduced row echelon form (RREF) to get practice] ;
    you must learn a technology method since this is insane to do by hand after the first few simple examples;
    23 [matrix with a parameter, reduction depends on value];
    in class we reduce two matrices in this Maple file using the LinearSolveTutor.


  19. F: No Quiz;
    we catch up with RREF details, no partial reductions as in 3.2!;
    Lecture Notes 3.3: Row reduction solution of linear systems
    online handout on
     solving linear systems example [.mw];
     we always want to do a full [Gauss-Jordan] reduction, not the partial Gauss elimination reduction also described by the textbook;

    in class practice worksheet;
    3.3:
    reduce: 3, 9, 14, 17, 19,
    solve: 21, 23, 29
    You can use this template to invoke the Gauss-Jordan EliminationTutor for the homework problems.


    WEEK 6[-1]:
  20. M: Check BlackBoard grades against your papers;
    Lecture Notes 3.3: Balancing Chemical Reaction Application  [online chem balancer]
    (application of integer matrices in homogeneous linear systems) [lecture solutions]
    homework for fun [plus explanation of mixed chemical reactions!][soln]


  21. T:  Lecture Notes 3.4: Matrix operations
    3.4: 1, 5, 9, 2, 11, 13, 15, 17, 19.

    [matrix multiplication: summary handout, Maple]

  22. W: Lecture Notes 3.5: square matrix inverses; [2x2 example]
    3.5: 1, 5, 7, 9 (use the 2x2 inverse formula to do by hand for practice);
    11, 19 (row reduce augmented matrix, then check with Maple inverse);
    23 (multiply both sides by inverse matrix to solve; Maple check).
    Memorize for frequent use:
    2x2inverse  .

    Switch diagonal entries. Change sign off-diagonal entries. Divide by determinant.
    Always check inverse in Maple if you are not good at remembering this.


  23. F: Quiz 5;
    Lecture Notes 3.6: Matrix determinants; [examples]
    [forget minors, cofactors, forget Cramer's rule (except remember what it is when old-fashioned texts refer to it), use Maple to evaluate determinants; we only need row reduction evaluation to understand determinants];
    3.6: use a few SwapRow, AddRow ops with the G-J reduction Tutor to find upper triangular form for a few, or just use Maple (Standard Operations) to evaluate the determinant:
    7 (easy! AddRow leads to zero row, zero value),
    9, 10, 13,
    29 (Cramer's rule just to be aware);
    catch up on old HW.


    WEEK 7[-1]:
  24. M: Lecture Notes 4.1: R^2 and R^3: Linear independence;
    R^n spaces and linear independence of a set of vectors [vector space rules];
    now we look at linear system coefficient matrices A as collections of columns A = < C1| ... |Cn >,
    matrix multiplication on the right by a column of coefficients as taking linear combinations of those columns,
    A x = x1 C1 + ... + xn Cn
    and solving homogeneous linear systems of equations  A x = 0  as looking for linear relationships among those columns (nonzero solns=linear rels) ;
    4.1: 5, 7; 13; 15, 17; 19, 23; 29, 31, 33 [example].

  25. T: Lecture Notes 4.2: Vector spaces and subspaces [in class exercise];
    (homogenous linear systems define subspaces!)
    ;
    [note only a set of vectors x resulting from the solution of a linear homogeneous condition A x = 0 can be a subspace of a vector space; interpretation: lines, planes, ..., hyperplanes through the origin];
    4.2: 1, 3, 7, 11; 15, 21.

  26. W: Lecture Notes 4.3: Span of a set of vectors > extended exercise from yesterday(pick up on page 3);
    so far: linear independence (A x = 0), or express a vector as a linear combination of other vectors (A x = b) ;
    now give the name span to the subspace of all linear combinations of a set of vectors, like we get from solving A x = 0;
    to solve A x = b is express b as a linear combination of the columns of A if b lies in the span of those columns;

    BUT the solution space itself is in the space of coefficients, and the row reduction mechanism automatically provides a unique linear combination expression for each set of coefficients whose linear combination results in the zero vector: the span of the "basic" coefficient vectors in the solution representation is the solution "subspace".
    4.3:  1, 3, 5, 7;  9, 13; 17, 21.


    Teach-in on Lebanon crisis 5-6pm, free dinner at 6pm

  27. F: No Quiz 6;
    Lecture Notes 4.4: Bases; [handout: new coordinate grids] [pick your own basis] [subspaces?]
    4.4: 1, 3, 5 [zero row!], 7;
    9 [this is in already reduced form, find solution as in class example, pull apart to find coefficient vectors of parameters, repeat for next 4 problems reducing first in the last 3],
    13 [equations already in reduced form! express all 4 variables in terms of free variables c, d, read off coefficients of those two free variables];
    15, 17 [use technology for all row reductions].


    Fall break   

    WEEK 8[-1]:
  28. M: 4.7  Lecture Notes 4.7: Vector spaces of functions;
    bridge to vector spaces whose elements are functions.

    Part 2 of course begins: transition back to DEs:
    read the 4.7 subsection on "Function Spaces" and then examples 3, 4, 6, 7, 8;
    [if you are curious, example 5 illustrates the partial fraction decomposition needed in engineering integration but Maple does this easily];
    Optional worksheet explaining the vector space of (at most) quadratic functions [quadratics.mw];
    4.7: 9, 11 [is the condition on the coefficients a linear homogeneous condition? only if so do these form a subspace]
    14 [note that any two (nonzero!) functions of x that are not proportional with a constant ratio are automatically linearly independent],
    15 [Hint: solve c1(1 + x) + c2(1 - x) + c3(1 - x2) = 0, for unknowns c1,c2,c3; are there nonzero solutions? if not, these are linearly independent polynomials, in terms of which any quadratic expression in x can be written],
    18 [are the two functions proportional? if not, they are linearly independent].

    new coordinates on the plane workshop. Complete for HW if not finished in class.
    Read why we are doing this here.


    Monday exercise on grids completed here.


  29. T: Lecture Notes 5.1a: 2nd order linear DEs: an intro;
    read 5.1 up to the subsection on Linear Independent Solutions (this is a long section);

    Memorize: y ' = k y  < -- > y = C e k x (from chapter 1)
      y '' + ω2 y  = 0 < -- >  y = C1 cos(ω x) + C2 sin(ω x)
    [when x is a time variable, "omega" = ω is the angular frequency "radians per time unit" ]
    5.1: 1, 3, 9, 11 [verify solutions, then impose initial conditions];
    17 [nonlinear DE does not allow scaling of solutions]


  30. W: Lecture Notes 5.1b: constant coefficient 2nd order linear homogeneous DEs;
     repeated root plot [problem 49 worked here is useful for working with exponentials];
     5.1[after Linear Independent Solutions subsection]: 33, 35, 38, 39.
    [We will talk about the Wronskian matrix next time.]


  31. F: Quiz 6; no office hour today (dept meeting);
    Lecture Notes 5.2: The Wronskian and higher order constant coefficient 2nd order linear DEs;
    ignorable extras: [Maple Wronskian][example 1]
    5.2: 1 [set a linear combination equal to zero, then gather coefficients of powers of x, set equal to zero to solve for the unknown coefficients],
    7, 13, 17,
    23 [the particular soln is a constant function so inserting an unknown constant into the LHS gives correct value].


    WEEK 9[-1]:
  32. M: Lecture Notes 5.3.0: Complex arithmetic and complex exponentials
    handout on complex arithmetic, exponentials 
    [if interested: Maple commands; the complex number i = sqrt(-1) is uppercase I  in Maple];
    no homework.


  33. T: Test 2 on chapters 3, 4.  [check out 22S T2]

  34. W: Lecture Notes 5.3a: higher order constant coefficient linear homogeneous DEs and complex exponentials: distinct roots;
     (use Maple to find roots of characteristic equation).

    5.3: 1, 9, 17, 23, 33.

    Th: Halloween!

  35. F: no quiz during test week;
    Lecture Notes 5.3b: higher order constant coefficient linear homogeneous DEs: repeated roots;
    5.3: 5, 11, 13, 19, 25, 35 [ignore instructions to use one solution to find more; just find roots with Maple!]

    WEEK 10[-1]:
  36. M:  Lecture Notes 5.3c: sinusoidal and decaying sinusoidal functions;
    To plot envelope functions of decaying amplitude together with the decaying oscillation, do:
    > plot( [A e -k x, -A e -k x, e -k x ( c1 cos(ω x) + c2 sin(ω x) )], x=0..10)
    where <c1,c2> = <A cos(δ), A sin(δ)>
    transforms Cartesian to polar coordinates in the parameter plane (draw a diagram).
    For HW try this with y =  e -x/2 (-3 cos(10 x) +5 sin(10 x) ) .
    Examples.

  37. T: Test 2 back in class; see answer key;
    Lecture Notes 5.4: Linear homogeneous 2nd order DEQ with constant positive coefficients (damped harmonic oscillators);
    5.4:  read worksheet for help on this problem:
    3: Undamped oscillatory '' + ω2 y  = 0 < -- >  y = C1 cos(ω x) + C2 sin(ω x) [omega is a small integer for this problem]
    frequency vocabulary: when x is a time variable, "omega" = ω is the angular frequency "radians per time unit" as opposed to just "frequency" f = ω/(2π ) or "revolutions or cycles per time unit" as in physics, but in our class we will just say "frequency" for ω, assumed to be expressed in radians per time unit or converted to revolutions per time unit as convenient;
    see also damped harmonic oscillators and RLC circuits, and Hertz
    (computers now have GHz clock speeds),  "cycles per second"];
    13 (goal: maximum positive displacement setting derivative to zero);
    solve these next problems by hand, determine phase-shifted form, then plot undamped and damped solutions together:
    15 overdamped,
    17 critically damped,
    19 underdamped.
    Here are the textbook parameter exercises solved so you can edit the plots to help pick out the online plot choice after solving these problems by hand. The evaluation of the numerical phase shifts is also explained for each problem. [In fact the signs of the initial data are actually enough to distinguish which plot is correct.]

  38. W: Lecture Notes 5.5: NON-homogeneous 2nd order DEQ with constant coefficients
    summary handout on driven (nonhomogeneous) constant coeff linear DEs;
     [final exercise on this handout sheet: pdf solution];
    5.5: 1, 3, 8 [just express cosh or sinh in terms of exponentials], 10, 33, 35;
    [not many of the book RHS driving functions are physically interesting here;
    we will not cover "variation of parameters"; the book presentation of the method of undetermined coefficients is a recipe with little justification (educated guess), instead the undetermined coefficient method handout shows exactly how and why one gets the particular solutions up to these coefficients].



  39. F: Quiz 7 on underdamped harmonic oscillator;
    Lecture Notes 5.6a: Driven damped harmonic oscillators;
     [today example with resonance calculation side by side.mw],
    5.6:  11 [ HW portal wants phase-shifted cosine form for both steady state and transient sinusoidal factor, phase shift between 0 and 2 Pi, decimal solutions, then plot],
    13 [the exact numbers are ridiculous, just use the Maple solution and find the phase-shifted cosine form of the transient and steady state solutions to 3 decimal places, see the previous Maple worksheet final section].

    No afternoon Office Hour. Mendel Medal talk 2pm Mullen Center. Be there (early to get a seat). Speakers are usually really good.

     
    WEEK 11[-1]:
  40. M: recap of last time: resonance plots;
     Lecture Notes 5.6b: Driven damped harmonic oscillators: special cases;
    summary handout on damped harmonic oscillator driven by sinusoidal driving function [1 sheet printable version];
    [only for fun: beating!]

    5.6:  1, 3 [ undamped solutions driving frequency not equal to natural frequency],
    17 [resonance calculation with reasonable numbers; but don't "rationalize" sqrt in denominator! will be marked wrong].

  41. T: 6.1: Lecture Notes 6.0 Eigenvectors and eigenvalues of 2x2 matrices;
    Lecture Notes 6.1a: Eigenvectors and eigenvalues (last page tomorrow 3x3 example);
    bob uses the Maple worksheet EigenExploreDrag2.mw  to graphically determine the eigenvectors and eigenvalues of some 2x2 matrices.
    [in the lecture bob first explains why we want to do this with a motivating example of a coupled system of DEQs and its directionfield]
    6.1: 1, 2, 7.

  42. W: Lecture Notes 6.1b: Eigenvectors and eigenvalues: n>2 and more (linear independence, complex eigenvectors: examples);
    6.1: 15, 19, 23 (upper triangular so diagonal values are eigenvalues!),
    31 (complex eigenvalues)
    [do everything by hand for 2x2 matrices;
    For 3x3 or higher, go thru process: use Maple determinant: |A-λI| = 0 (right click on matrix, Standard Operations),  then solve to find characteristic equation and its solutions, the eigenvalues, back sub them into the matrix equations (A-λI) x = 0 and solve by rref, backsub, read off eigenvector basis of soln space, NO POLYNOMIAL DIVISION! compare to Maple's Eigenvector result, from the context sensitive menu].

    Ignore polynomial division discussion (as useless as long division!), use technology for roots of polynomials and determinants!

  43. F: Quiz 8 on finding resonant frequency for underdamped harmonic oscillator of previous quiz.
    Lecture Notes 6.2: Diagonalization [short version in class];
    summary: diagonalization; [diagonalize: 3x3 examples];
    6.2: 3, 10, 13, 19, 25  [use Maple for det and solve for eigenvalues, then by hand find eigenvectors, use Maple for matrix multiplication; check with Eigenvalues etc; online eigenvector matrices are all integer valued, so perhaps it is worth scaling up your eigenvectors to integer values].
    in class this handout exercise:
    For the matrix:  A = <<1|4>,<2|3>> entered by rows, use Maple to find the eigenvalues and the basis changing matrix B = <b1|b2> of corresponding eigenvectors, evaluate the matrix product AB = B-1A B to see that it is diagonal and has the corresponding eigenvalues in order along the diagonal, and use the coordinate transformations x = B y and y = B-1 x to find the new coordinates of the point x = <x1, x2> = <-2,4> in the plane. Then make a grid diagram with the new (labeled) coordinate axes associated with this eigenbasis (labeled also by the eigenvalue λ = <value> ) together with basis vectors and the projection parallelogram of this point.

    Support your fellow students in the Villanova Student Musical Theatre performance of Footloose! They are doing a great job and there are plenty of seats left!


    NO office hour today, dept meeting!

    WEEK 12[-1]:
  44. M: Lecture Notes 7.3a: 1st order linear homogeneous DE systems: real eigenvalues:
    (notes are a summary of what we already done with a concrete 2x2 example);
    just use Maple to get eigenvalues and eigenvectors, form linear combination of eigenvalue exponentials and eigenvectors to get general soln; remember to enter arbitrary constants with subscripts c1 ...

    7.3:2x2 with direction field 5 (but no need to plot, use slopes of eigenlines and signs of eigenvalues for arrow directions along eigenlines as explained in this Maple worksheet);
    3x3: 17.

  45. T: 7.3 Lecture Notes 7.3b: 1st order linear homogeneous DE systems: complex eigenvalues: [short version in class]
    [new shortest version; maple]
    7.3: 15 [no need to plot, check directionfield arrow A x  direction along positive vertical axis say at x1=0, x2 = 1],
    25.
    No office hour after class.

  46. W: HW catch up, ask help from bob; Review questions? Questions about past test 3's. See archive; check out the quiz 8 answer key there;
    we will do 22S problem 3 in class to have more practice with complex eigenvalues.


  47. F: Take Home test out, start in class. Due Wednesday after T-day break.
    3 problems: problem 1 combines quizzes 7 and 8 while problems 2 and 3 are 3x3 linear DE systems with respectively complex (22S) and real (23S) eigenvalues (see archive) [MERCY: PROBLEM 3 DELETED]
    please read the test rules.

    WEEK 13[+1]:
  48. M: Lecture Notes 7.3d: mixing tanks, etc; [multicompartimental models eqns];
     
    [open flow thru system with real eigenvalues,  closed system example 4 flow thru system with complex eigenvalues];
    7.3: 33 (open, real, unassigned),
    37 (closed, complex USE AS TEMPLATE, you might need "evalc"  on your eigenvector matrix to convert to Re plu Im parts);
    use eigenvalues and eigenvectors from Maple, write down linear combination of eigenvalue exponentials times eigenvectors as general soln (plus Re,Im aparts with complex case), then impose initial conditions. QUICK. no need to plot, just pick out the plot with the correct asymptotes for the 3 variables.

  49. T: work on Test 3 in class. Be safe traveling!

    T-Day break    

  50. M: work on test 3 in class.

  51. T: last topic: undamped coupled harmonic oscillator systems: undriven case:
    Lecture Notes 7.5a: mass spring systems;
    [figure8curve.mw, periodic: lissajous figures!, aperiodic: 2mass2spring-aperiodic.mw];
    7.5: 3, 5 [Maple quick check template: epc4-7-5-template.mw]
    you just have to identify the natural frequencies ωi = sqrt(-λi ) of the accordian (opposite sign component eigenvectors) and tandem  (opposite sign component eigenvectors) modes.


  52. W: Test 3 due, unless extenuating circumstances: email for extention till Friday;

    undamped coupled harmonic oscillator systems: driven case, given frequency;
    Lecture Notes 7.5b: driven mass spring systems (pages 3-4);  [again figure8curve.mw];
    result for the system in the previous class exercise driven by a specific frequency oscillating force :
    2mass2spring-short-driven.mw;
    (this is the last final exam topic, stopping short of the resonance calculation with general frequency):
    use the template  epc4-7-5-template.mw to evaluate the matrix and eigenstuff,
    7.5: 9 [driven case, need initial conditions, final exam problem, check archive];
    for the last two problems, only eigenvalues and eigenvectors necessary to identify eigenfrequencies and amplitude ratios/signs, but the particular solution via the method of undetermined coefficients is needed to identify the response vector amplitute ratios and relative signs:

    11 (driven case, initial conditions irrelevant, only eigenvalues and eigenvectors needed),
    13 (undriven case, 3x3 matrix, no initial conditions, only eigenvalues and eigenvectors needed)
    no online problems exploring rseonance...or damping... but bob will show you what this looks like anyway.

  53. F: undamped couple harmonic oscillator systems: resonance;
    Lecture Notes 7.5b: driven mass spring systems (pages 1,2,5 today)
     [again figure8curve.mw]
    no homework, topic not on final exam; catch up on online HW not already 100 percent assignments.


    WEEK 14 [-1]:
  54. M: in class shortened previous final exam practice exercise: 27523s4-24f.pdf.


  55. T[F]: damping and resonance:
    damped coupled harmonic oscillator systems?  [again figure8curve.mw];
    dynamic damping video (for fun, 9.5 minutes, dynamic damping, plus another 8 minutes);
    earthquake analysis.

  56. @ W: CATS evaluation at beginning of class;
    Watch the 4 minute Google linked video of resonance NOT!
    (but see the engineering explanation linked PDF for the detailed explanation):
    Tacoma Narrows Bridge collapse: Wikipedia; Google (You-Tube video)] (4 minutes);
    a real resonance bridge problem occurred more recently: the Millenium Bridge resonance (5 minutes).

.
FINAL EXAM:  (not cumulative)
2705-06 MWF/T 11:45: Tues, Dec 17 8:30 am - 11:00 am
2705-07 MWF/T 12:50:  Fri, Dec 20 2:30 pm - 5:00 pm
[switch okay with permission]

Homework assignment catch up possible till end of exam period,
notify me if you are still working at it towards the end of exam period.

                          MAPLE and G.Calc. CHECKING ALLOWED FOR QUIZZES, EXAMS

16-jun-2024 [course homepage] [log from last time taught]