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DIFFERENTIAL CALCULUS


Reflections Selecting this link will take you to an external site. , November, 1993 - Journal of the Mathematical Association of NSW

by PAUL WHITE, Australian Catholic University


One of the main obstacles to understanding calculus is the range of advanced mathematical concepts involved. A common solution for teachers to overcome this obstacle has been to reduce calculus to a series of unrelated, manipulative rules. Such a strategy has been reasonably successful for obtaining a satisfactory HSC mark. The HSC 2 Unit paper of 1992 (Question 7(c) to be precise) indicated that such an approach may not suffice into the future. Also, plans for the new syllabuses indicate a less manipulative approach to calculus, with more emphasis on concepts involved. The focus here will be the latter, but we begin with a quick look at what happens now in many classrooms.

Current approach?

The derivative is introduced by looking at a secant through the points with abscissae x and x + delta times x(or x + h) on the curve f(x) = x-squared, considering how the slope of the secant changes as the increment decreases and comes quickly to the conclusion that the slope of the tangent is the 'limiting position' of the secants and so the slope of the tangent, which is now called the derivative, is given by

equation

The rule immediately generates the derivative of x-squared as 2x and is extended to equation. The sequence then moves quickly to finding all sorts of derivatives with all sorts of complicated notation.

Questions
Why is the slope of a tangent important? What is a tangent? What's different about y and x - why does x get small and not y? What does limit mean? Why can 0/0 be a a number with limits? Let's explore.

Example 1
In column 2 are six containers and nine graphs showing how the height of water increases if the container is being filled at a constant rate.

(a) Choose the correct graph for each bottle.

(b) For the remaining three graphs, sketch what the bottles would look like.

bottle shapes
bottle graphs

Example 2
The following is a distance­time graph of a bus.

(a) What is the average speed of the bus for the first 5 seconds?

(b) What is the actual (instantaneous) speed of the bus after 5 seconds?

bus graph

What are the graphical interpretations of average and instantaneous rate of change?

Example 3

A class of students working on travel graphs produced the diagrams below. Some of these graphs cannot possibly be correct. Can you select the impossible ones and explain why? For the correct ones, describe what the person moving is doing.

What is the difference between the variable on the horizontal axis and that on the vertical axis?

travel graphs

Example 4
Judy has recorded her height over the years on each birthday by marking it on a bare patch of wall. This can be thought of as assigning height to age. (Does it make sense to assign age to height?) Judy's growth can be modelled as a function by a table of values where age is in years and height in centimetres.

Age 10 11 12 13 14 15 16 17
Height 140 143 147 153 160 166 169 172

Draw a graph representing Judy's height compared to her age. Does it make sense to join the dots? Can you estimate her height at 15 and a half? Can you estimate her height when she was 9? How tall do you expect her to be at 20? Which gives more information, the graph or the table?

What is a function? How are functions usually represented? What does continuous mean?

Differential calculus

Differential calculus is the study of the instantaneous rate of change of continuous functions.

The instantaneous rate of change of a continuous function is called the derivative. Graphically, the slope of the tangent at a given point is the instantaneous rate of change, and so the derivative. Taking the derivative as the dependent variable for each value of the independent variable of a continuous function gives a new function (the gradient or derivative function) which describes how the original function is changing at any given value of the independent variable.

Some reflections on research

The tangent becomes important because it is the instantaneous rate of change, whereas the secant is the average rate of change and the limiting process links the two. Research has shown, however, that the concept of the tangent needs to be more fully developed beyond the limited example of a circle.

Research has also shown that limit theory is too difficult for most students and I would recommend that for 2 Unit students it be addressed only informally. In fact, the whole definition of the derivative can be addressed informally - when was the last time first principle was asked in an HSC or even a 3 Unit paper?

Research has also cast doubts on student ability to handle variables and thus functions. This is a major issue on its own and is not addressed here.

Some reflections on teaching

A possible sequence for teaching introductory calculus along the lines suggested is:

Pre-calculus
In high school, this could be addressed in Years 9/10 or even extension work in Years 7/8. The basic idea is to investigate graphs in a non-numeric sense. Such things as 'which is going faster - why?' or 'which graph fits which physical situation - why?' are some suggestions for investigation. Graphs can also be used to explore the difference between constant and varying rates of change, as well as increasing and decreasing rates.

Introductory calculus
This could now become a numeric study of graphs that links the notion of instantaneous rate of change with the slope of the tangent to a curve. Students can actually calculate rates of change by drawing tangents to curves and working out rise and run. (Note that the difference between instantaneous and average rates of change is vital!) This can then become the definition of derivative and, also, some historical background may be appropriate.

Functions
Graphs describe relationships between changing quantities. The notion of variables as changing quantities needs to be addressed. The difference between independent and dependent variables is important. Functions as sensible relationships between variables can also be introduced. One way to represent a function is a table, another is a graph. Which gives more information? Does it make sense to join the dots?

Derivative
How can instantaneous rates of change be measured apart from graphical approximations? This is where algebra is useful because variables describe changing situations. Hence functions which are described by equations might now be considered. Using computer packages or calculators, gradient functions can be found for some well known functions. For example, calculating the slope of the tangent to (say) y=x_squared for a range of values and then plotting these slopes against the independent variable will give the line y=2xas the gradient function. The formal definition for the derivative can then be 'derived' by seeing how the instantaneous rate of change (the slope of the tangent) can be approximated by average rates of change (secants).

Applications
Using change in its graphical interpretation - the slope of the tangent - as the basis for calculus allows some of the rules to make sense, even if the 'proof' is less rigorous. For example, graphically (or with a computer) show that the gradient function of sine is cosine. Consider the statement: 'The graph of a continuous function is concave up if the second derivative is positive.' This statement encapsulates the problem facing teachers and students of calculus. The rule can be remembered, correctly applied and yet not be understood. However, with a re-emphasis towards understanding in the teaching, the position can be changed. In this case, if the second derivative is seen as the rate of change of the slope of the tangent, its being positive means the slope is increasing and hence the curve must be concave up.

Two examples of generalizations which, when proved algebraically using limits and delta-x's, are likely to be meaningless and as a result become rote learnt rules for students, are the product rule and the chain rule. Using visual descriptions based on how a change in one variable affects the change in another, the rules can be seen as generalizations.

The product rule equation can be explained by looking at the change in the product uv when both u and v change as the independent variable (probably good old x) does. The diagram shows the change in the product:

diagram depicting change in the product

The shaded part of the diagram represents the pre-change value of the product. The larger rectangle represents the post-change value of the product. So, the unshaded part is the difference. When the difference is compared to the change in the independent variable (deltax), the result is

equation

The product rule emerges after a bit of hand waving.

The chain rule may be demonstrated by turning wheels as shown.

conjoined wheels of different sizes

At given time t, wheel A has made m revolutions (say) and wheel B has made n revolutions (say). Suppose wheel A turns at 3 revs/unit time (so dm / dt=3), and that wheel B makes two turns for every one of wheel A (so dn / dm=2). Then obviously wheel B turns at six revs/unit time. So dn / dt =6. By observing that the wheel result works regardless of the numbers used, generalizing gives

equation

Some reflections on resources

A good resource for studying graphs is The Red Box (Swan, 1989). Currently, the set of booklets by Mary Barnes (1992) is the best resource for an informal approach to calculus. The booklets have been developed in cooperation with teachers and educationalists throughout Australia. Computer software for the Macintosh is the program Anugraph. All these are available through the Australian Association of Mathematics Teachers.

References
Barnes, M. (1992). Investigating Change. Curriculum Corporation, Melbourne.

Swan, M. (1989). The Language of Functions and Graphs. The Shell Centre for Mathematical Education, Nottingham.

For the IBM, David Tall's Graphic Approach to Calculus is the big resource. In Australia it is available through Edsoft.

Some reflections on assessment

Two ideas for slightly different assessment tasks in the Component B style are as follows:

1. Assess student interpretation rates of change from graphs. Independence of response could be introduced by requiring some open contextual description.

Example 1: The following graph shows the amount of petrol in a car during a trip. Looking at the graph, use the petrol consumption information to give a description of a possible trip.

petrol graph

Example 2: The population of the United States in the nineteenth century is given in millions in the following table:

t Year Population
0 1800 5.3
10 1810 7.2
20 1820 9.6
30 1830 12.9
40 1840 17.1
50 1850 23.3
60 1860 31.4
70 1870 38.6
80 1880 50.2
90 1890 62.9
100 1900 76.0

Using this information, give a description of the population growth in the United States between 1800 and 1900. Are there any predictions you could make (say about 1990)? Are they accurate?

2. Assess student understanding of how rates of change, variables and derivatives are related.

Find dy/dx for y=ax-squared when x=b where a and b are constants is a calculus question. Create a 'word problem' which involves change so that the solution to the problem is the calculus question given for some specific values for a and b. Note that x and y may represent any variable you wish and you can use different letters to represent them.

Organization of the tasks could vary according to how the task is presented - standard test questions; open book test; prepared question test (that is, know the question in advance); or assignment, where strikingly similar responses are penalized and / or a brief oral explanation is required by the student.

References

Mack, J. & Stephens, M. (1993) 'Assessing assessment' in The Australian mathematics Teacher, Vol. 49, No. 1.

Mousley, J. (1991). 'Years 7-10: preparing for the VCE' in J. Reilly & S. Wettenhall, Mathematics: Inclusive, Dynamic, Exciting, Active, Stimulating. Mathematics Association of Victoria.

NCTM (1989). Curriculum and Evaluation Standards for School Mathematics.

Ollerton, M. (1991). 'Testing versus assessment' in Mathematics Teaching. MT 135

Shell Centre for Mathematical Education (1984). Problems in Patterns and Number. Joint Matriculation Board.

Shell Centre for Mathematical Education (1985). The Language of Functions and Graphs. Joint Matriculation Board.

Stephens, M. (1988). AAMT Discussion Paper on Assessment and Reporting in Mathematics.

Stephens, M. & Izard (1992). Reshaping Assessment Practices: Assessment in the Mathematical Sciences Under Challenge. ACER, Melbourne.



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