




One of the basic properties of numbers is that they may be expressed in exponential form. We are all familiar with the representation 1000 = 10^{3} or 0.001 = 10^{3}. A more general way of stating this property is to say that any number (N) may be expressed as a base (B) raised to a power (x) or In the examples above the formula the base is 10. Further examples using
base 10, base 2, and base e (where e = 2.718...) are given below in Table
1.
The first four entries in the base10 section look natural as do the entries in the base 2, but few students would immediately guess .301 as the appropriate exponent for 2 = 10^{x}. Further, the natural base e (e = 2.71828..) probably seems at first an illogical base for representing numbers. As will be discussed below, exponential functions of the type y = ae^{bx} are very common in describing physical and chemical systems, and a basic understanding of this type of function is necessary. The mathematical statement N = B^{x} serves as the basis for defining logarithms. The logarithm of a number (N) in base (B) is defined as (x). logarithm_{(B)}N = x Two bases, 10 and e, are in common usage. The shorthand representations are: base 10 logarithm_{10} N = log_{10} N = log NThus, the logarithm of a number is simply the power to which the base must be raised to give the number. Table 2 shows the log and ln of the numbers in Table 1.
NOTE:
There are a few basic rules for handling logarithms. Examples are given in base 10 but the rules are applicable to any base. Rule 1:
log (a x b) = log a + log b
log (2000) = log (2 x 1000) = log 2 + log 1000 = .301 + 3 = 3.301Rule 2: log (a/b) = log a  log b Examples: log (2/4) = log 2  log 4 = .301  .602 = .301Rule 3: log (a)^{b} = b log a Examples: log (4)^{3} = 3 log 4 = 3 x .602 = 1.806Rule 4: log (10)^{x} = x Examples: log 10^{8} = 8If one has the logarithm of a number and wishes to find the number, one simply raises the base to the power of the logarithm. This is called taking the antilogarithm. Examples:
antilog .301 = 10^{.301} = 2Note: On most calculators, antilogarithms may be taken by While logarithms are interesting and useful in their own right, they have greatest applicability for us in dealing with exponential functions. One of the very common functional relationships appearing from experimental observations is that of an exponential increase or decrease. This takes the form of an expression as y = e^{x} and y = e^{x} In the more general form this appears as y = e^{ax} and y = e^{ax} where a groups together any quantities that can be considered to be constant during the variation of x and y. When graphed, these functions appear as seen in Figure 1 (note that when x = 0, y becomes = 1). Base e logarithms can be converted to base 10 logarithms. Figure 1. Exponential Functions
Since it is very difficult to obtain the exact form of the coefficient
a from graphs such as these, it becomes more convenient to apply logarithms
to functions in this form. Thus,
or 2.3 log y = ax. [Note that a' = a/2.3 ] and a plot of ln (or log) y versus x will then give a straight line whose slope will be "a." The same considerations apply to these expressions when they are straight lines as to any straight line. In a simple case, consider the data from Table 3 for the decomposition
of hydrogen peroxide. Two ways in which these data can be graphed are shown
below: (a) concentration against time on rectangular coordinates, (b) log
concentration against time on rectangular coordinates. These are illustrated
in Figures 2a  2b.
Figure 2a. Decomposition of Hydrogen Peroxide
Figure 2b. Decomposition of Hydrogen Peroxide
Whether one uses the logarithmic or exponential form for such relationships depends on what is to be determined. Mathematically the exponential form has certain advantages while graphically the logarithmic form is more informative. Any functional relationship in this form has recognizable characteristics that are more obvious when one more symbol is included in the general expression. Thus, y = y_{o}e^{ax} where y_{o} is a constant determined by the fact that when x = 0, the value of e^{ax} = 1 and under these conditions, y = y_{o}. The following examples illustrate the general characteristics of this type of function. The "a" is a specific constant in each example.
c = c_{o}e^{at} where c_{o} is the concentration at time t = 0 (at the beginning of the experiment). I = I_{o}e^{al} where I_{o} is the intensity of the incident radiation at l = 0, before it passes through the absorbing material. P = P_{o}e^{ah} where P_{o} is the pressure at h = 0, sea level.
y = mx + b where m = slope and b = intercept of line with y axis (at x=0). slope = m = rise/run = 2/3 Figure B. Negative slope
Calculate or read off the values for m and b, then insert the m and
b values into the equation y = mx + b. The result should be the equation
you're looking for. To double check your work, try some of the original
given values for x in your equation and see if y comes out as expected.
The equation of the line in Fig. A is y = 2x/3 + 5/3 and for Fig. B is
y = x + 5 = 5  x.
y = ae^{b/T} where y is some property of the system, a and b are constants and T is the temperature in Kelvins. These functions are all linearized by taking the natural logarithym of the expression. ln y = ln a  b/T. A plot of ln y vs 1/T will give a straight line with slope b and intercept ln a. 

Ans  1. Plot the following
data in a graph of density versus temperature. Determine the relationship
between density and temperature from this graph. Write a mathematical expression
for this relationship, and from the graph evaluate all constants.


Ans  2. Complete the
following table.


Ans  3. For
each of the following equations, indicate what type of scale should be
used on the y axis and the x axis to obtain a linear plot. Determine the
intercept and slope. Note that more than one approach is often possible.
(a) y = 3x^{2} + 4 

Prob.  Answer 1
D = 2.5 x 10^{3} T + 13.60 

Prob.  Answer 2


Prob.  Answer 3

