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Calc understands a variety of data types as well as simple numbers. In this section, we'll experiment with each of these types in turn.

The numbers we've been using so far have mainly been either integers or floats. We saw that floats are usually a good approximation to the mathematical concept of real numbers, but they are only approximations and are susceptible to roundoff error. Calc also supports fractions, which can exactly represent any rational number.

1: 3628800 2: 3628800 1: 518400:7 1: 518414:7 1: 7:518414 . 1: 49 . . . . 10 ! 49 <RET> : 2 + &

The `:` command divides two integers to get a fraction; `/`
would normally divide integers to get a floating-point result.
Notice we had to type <RET> between the `49` and the `:`
since the `:` would otherwise be interpreted as part of a
fraction beginning with 49.

You can convert between floating-point and fractional format using
`c f` and `c F`:

1: 1.35027217629e-5 1: 7:518414 . . c f c F

The `c F` command replaces a floating-point number with the
“simplest” fraction whose floating-point representation is the
same, to within the current precision.

1: 3.14159265359 1: 1146408:364913 1: 3.1416 1: 355:113 . . . . P c F <DEL> p 5 <RET> P c F

(•) **Exercise 1.** A calculation has produced the
result 1.26508260337. You suspect it is the square root of the
product of ‘`pi`’ and some rational number. Is it? (Be sure
to allow for roundoff error!) See 1. (•)

Complex numbers can be stored in both rectangular and polar form.

1: -9 1: (0, 3) 1: (3; 90.) 1: (6; 90.) 1: (2.4495; 45.) . . . . . 9 n Q c p 2 * Q

The square root of *-9* is by default rendered in rectangular form
(‘`0 + 3i`’), but we can convert it to polar form (3 with a
phase angle of 90 degrees). All the usual arithmetic and scientific
operations are defined on both types of complex numbers.

Another generalized kind of number is infinity. Infinity
isn't really a number, but it can sometimes be treated like one.
Calc uses the symbol `inf`

to represent positive infinity,
i.e., a value greater than any real number. Naturally, you can
also write ‘`-inf`’ for minus infinity, a value less than any
real number. The word `inf`

can only be input using
algebraic entry.

2: inf 2: -inf 2: -inf 2: -inf 1: nan 1: -17 1: -inf 1: -inf 1: inf . . . . . ' inf <RET> 17 n * <RET> 72 + A +

Since infinity is infinitely large, multiplying it by any finite
number (like *-17*) has no effect, except that since *-17*
is negative, it changes a plus infinity to a minus infinity.
(“A huge positive number, multiplied by *-17*, yields a huge
negative number.”) Adding any finite number to infinity also
leaves it unchanged. Taking an absolute value gives us plus
infinity again. Finally, we add this plus infinity to the minus
infinity we had earlier. If you work it out, you might expect
the answer to be *-72* for this. But the 72 has been completely
lost next to the infinities; by the time we compute ‘`inf - inf`’
the finite difference between them, if any, is undetectable.
So we say the result is indeterminate, which Calc writes
with the symbol `nan`

(for Not A Number).

Dividing by zero is normally treated as an error, but you can get
Calc to write an answer in terms of infinity by pressing `m i`
to turn on Infinite mode.

3: nan 2: nan 2: nan 2: nan 1: nan 2: 1 1: 1 / 0 1: uinf 1: uinf . 1: 0 . . . . 1 <RET> 0 / m i U / 17 n * +

Dividing by zero normally is left unevaluated, but after `m i`
it instead gives an infinite result. The answer is actually
`uinf`

, “undirected infinity.” If you look at a graph of
‘`1 / x`’ around ‘`x = 0`’, you'll see that it goes toward
plus infinity as you approach zero from above, but toward minus
infinity as you approach from below. Since we said only ‘`1 / 0`’,
Calc knows that the answer is infinite but not in which direction.
That's what `uinf`

means. Notice that multiplying `uinf`

by a negative number still leaves plain `uinf`

; there's no
point in saying ‘`-uinf`’ because the sign of `uinf`

is
unknown anyway. Finally, we add `uinf`

to our `nan`

,
yielding `nan`

again. It's easy to see that, because
`nan`

means “totally unknown” while `uinf`

means
“unknown sign but known to be infinite,” the more mysterious
`nan`

wins out when it is combined with `uinf`

, or, for
that matter, with anything else.

(•) **Exercise 2.** Predict what Calc will answer
for each of these formulas: ‘`inf / inf`’, ‘`exp(inf)`’,
‘`exp(-inf)`’, ‘`sqrt(-inf)`’, ‘`sqrt(uinf)`’,
‘`abs(uinf)`’, ‘`ln(0)`’.
See 2. (•)

(•) **Exercise 3.** We saw that ‘`inf - inf = nan`’,
which stands for an unknown value. Can `nan`

stand for
a complex number? Can it stand for infinity?
See 3. (•)

HMS forms represent a value in terms of hours, minutes, and seconds.

1: 2@ 30' 0" 1: 3@ 30' 0" 2: 3@ 30' 0" 1: 2. . . 1: 1@ 45' 0." . . 2@ 30' <RET> 1 + <RET> 2 / /

HMS forms can also be used to hold angles in degrees, minutes, and seconds.

1: 0.5 1: 26.56505 1: 26@ 33' 54.18" 1: 0.44721 . . . . 0.5 I T c h S

First we convert the inverse tangent of 0.5 to degrees-minutes-seconds form, then we take the sine of that angle. Note that the trigonometric functions will accept HMS forms directly as input.

(•) **Exercise 4.** The Beatles' *Abbey Road* is
47 minutes and 26 seconds long, and contains 17 songs. What is the
average length of a song on *Abbey Road*? If the Extended Disco
Version of *Abbey Road* added 20 seconds to the length of each
song, how long would the album be? See 4. (•)

A date form represents a date, or a date and time. Dates must
be entered using algebraic entry. Date forms are surrounded by
‘`< >`’ symbols; most standard formats for dates are recognized.

2: <Sun Jan 13, 1991> 1: 2.25 1: <6:00pm Thu Jan 10, 1991> . . ' <13 Jan 1991>, <1/10/91, 6pm> <RET> -

In this example, we enter two dates, then subtract to find the number of days between them. It is also possible to add an HMS form or a number (of days) to a date form to get another date form.

1: <4:45:59pm Mon Jan 14, 1991> 1: <2:50:59am Thu Jan 17, 1991> . . t N 2 + 10@ 5' +

The `t N` (“now”) command pushes the current date and time on the
stack; then we add two days, ten hours and five minutes to the date and
time. Other date-and-time related commands include `t J`, which
does Julian day conversions, `t W`, which finds the beginning of
the week in which a date form lies, and `t I`, which increments a
date by one or several months. See Date Arithmetic, for more.

(•) **Exercise 5.** How many days until the next
Friday the 13th? See 5. (•)

(•) **Exercise 6.** How many leap years will there be
between now and the year 10001 AD? See 6. (•)

An error form represents a mean value with an attached standard deviation, or error estimate. Suppose our measurements indicate that a certain telephone pole is about 30 meters away, with an estimated error of 1 meter, and 8 meters tall, with an estimated error of 0.2 meters. What is the slope of a line from here to the top of the pole, and what is the equivalent angle in degrees?

1: 8 +/- 0.2 2: 8 +/- 0.2 1: 0.266 +/- 0.011 1: 14.93 +/- 0.594 . 1: 30 +/- 1 . . . 8 p .2 <RET> 30 p 1 / I T

This means that the angle is about 15 degrees, and, assuming our original error estimates were valid standard deviations, there is about a 60% chance that the result is correct within 0.59 degrees.

(•) **Exercise 7.** The volume of a torus (a donut shape) is
‘`2 pi^2 R r^2`’
where ‘`R`’ is the radius of the circle that
defines the center of the tube and ‘`r`’ is the radius of the tube
itself. Suppose ‘`R`’ is 20 cm and ‘`r`’ is 4 cm, each known to
within 5 percent. What is the volume and the relative uncertainty of
the volume? See 7. (•)

An interval form represents a range of values. While an error form is best for making statistical estimates, intervals give you exact bounds on an answer. Suppose we additionally know that our telephone pole is definitely between 28 and 31 meters away, and that it is between 7.7 and 8.1 meters tall.

1: [7.7 .. 8.1] 2: [7.7 .. 8.1] 1: [0.24 .. 0.28] 1: [13.9 .. 16.1] . 1: [28 .. 31] . . . [ 7.7 .. 8.1 ] [ 28 .. 31 ] / I T

If our bounds were correct, then the angle to the top of the pole is sure to lie in the range shown.

The square brackets around these intervals indicate that the endpoints
themselves are allowable values. In other words, the distance to the
telephone pole is between 28 and 31, *inclusive*. You can also
make an interval that is exclusive of its endpoints by writing
parentheses instead of square brackets. You can even make an interval
which is inclusive (“closed”) on one end and exclusive (“open”) on
the other.

1: [1 .. 10) 1: (0.1 .. 1] 2: (0.1 .. 1] 1: (0.2 .. 3) . . 1: [2 .. 3) . . [ 1 .. 10 ) & [ 2 .. 3 ) *

The Calculator automatically keeps track of which end values should
be open and which should be closed. You can also make infinite or
semi-infinite intervals by using ‘`-inf`’ or ‘`inf`’ for one
or both endpoints.

(•) **Exercise 8.** What answer would you expect from
‘`1 / (0 .. 10)`’? What about ‘`1 / (-10 .. 0)`’? What
about ‘`1 / [0 .. 10]`’ (where the interval actually includes
zero)? What about ‘`1 / (-10 .. 10)`’?
See 8. (•)

(•) **Exercise 9.** Two easy ways of squaring a number
are `<RET> *` and `2 ^`. Normally these produce the same
answer. Would you expect this still to hold true for interval forms?
If not, which of these will result in a larger interval?
See 9. (•)

A modulo form is used for performing arithmetic modulo `m`.
For example, arithmetic involving time is generally done modulo 12
or 24 hours.

1: 17 mod 24 1: 3 mod 24 1: 21 mod 24 1: 9 mod 24 . . . . 17 M 24 <RET> 10 + n 5 /

In this last step, Calc has divided by 5 modulo 24; i.e., it has found a
new number which, when multiplied by 5 modulo 24, produces the original
number, 21. If `m` is prime and the divisor is not a multiple of
`m`, it is always possible to find such a number. For non-prime
`m` like 24, it is only sometimes possible.

1: 10 mod 24 1: 16 mod 24 1: 1000000... 1: 16 . . . . 10 M 24 <RET> 100 ^ 10 <RET> 100 ^ 24 %

These two calculations get the same answer, but the first one is much more efficient because it avoids the huge intermediate value that arises in the second one.

(•) **Exercise 10.** A theorem of Pierre de Fermat
says that
‘`x^(n-1) mod n = 1`’
if ‘`n`’ is a prime number and ‘`x`’ is an integer less than
‘`n`’. If ‘`n`’ is *not* a prime number, this will
*not* be true for most values of ‘`x`’. Thus we can test
informally if a number is prime by trying this formula for several
values of ‘`x`’. Use this test to tell whether the following numbers
are prime: 811749613, 15485863. See 10. (•)

It is possible to use HMS forms as parts of error forms, intervals,
modulo forms, or as the phase part of a polar complex number.
For example, the `calc-time`

command pushes the current time
of day on the stack as an HMS/modulo form.

1: 17@ 34' 45" mod 24@ 0' 0" 1: 6@ 22' 15" mod 24@ 0' 0" . . x time <RET> n

This calculation tells me it is six hours and 22 minutes until midnight.

(•) **Exercise 11.** A rule of thumb is that one year
is about
‘`pi * 10^7`’
seconds. What time will it be that many seconds from right now?
See 11. (•)

(•) **Exercise 12.** You are preparing to order packaging
for the CD release of the Extended Disco Version of *Abbey Road*.
You are told that the songs will actually be anywhere from 20 to 60
seconds longer than the originals. One CD can hold about 75 minutes
of music. Should you order single or double packages?
See 12. (•)

Another kind of data the Calculator can manipulate is numbers with
units. This isn't strictly a new data type; it's simply an
application of algebraic expressions, where we use variables with
suggestive names like ‘`cm`’ and ‘`in`’ to represent units
like centimeters and inches.

1: 2 in 1: 5.08 cm 1: 0.027778 fath 1: 0.0508 m . . . . ' 2in <RET> u c cm <RET> u c fath <RET> u b

We enter the quantity “2 inches” (actually an algebraic expression
which means two times the variable ‘`in`’), then we convert it
first to centimeters, then to fathoms, then finally to “base” units,
which in this case means meters.

1: 9 acre 1: 3 sqrt(acre) 1: 190.84 m 1: 190.84 m + 30 cm . . . . ' 9 acre <RET> Q u s ' $+30 cm <RET>

1: 191.14 m 1: 36536.3046 m^2 1: 365363046 cm^2 . . . u s 2 ^ u c cgs

Since units expressions are really just formulas, taking the square
root of ‘`acre`’ is undefined. After all, `acre`

might be an
algebraic variable that you will someday assign a value. We use the
“units-simplify” command to simplify the expression with variables
being interpreted as unit names.

In the final step, we have converted not to a particular unit, but to a units system. The “cgs” system uses centimeters instead of meters as its standard unit of length.

There is a wide variety of units defined in the Calculator.

1: 55 mph 1: 88.5139 kph 1: 88.5139 km / hr 1: 8.201407e-8 c . . . . ' 55 mph <RET> u c kph <RET> u c km/hr <RET> u c c <RET>

We express a speed first in miles per hour, then in kilometers per hour, then again using a slightly more explicit notation, then finally in terms of fractions of the speed of light.

Temperature conversions are a bit more tricky. There are two ways to interpret “20 degrees Fahrenheit”—it could mean an actual temperature, or it could mean a change in temperature. For normal units there is no difference, but temperature units have an offset as well as a scale factor and so there must be two explicit commands for them.

1: 20 degF 1: 11.1111 degC 1: -6.666 degC . . . . ' 20 degF <RET> u c degC <RET> U u t degC <RET>

First we convert a change of 20 degrees Fahrenheit into an equivalent change in degrees Celsius (or Centigrade). Then, we convert the absolute temperature 20 degrees Fahrenheit into Celsius.

For simple unit conversions, you can put a plain number on the stack.
Then `u c` and `u t` will prompt for both old and new units.
When you use this method, you're responsible for remembering which
numbers are in which units:

1: 55 1: 88.5139 1: 8.201407e-8 . . . 55 u c mph <RET> kph <RET> u c km/hr <RET> c <RET>

To see a complete list of built-in units, type `u v`. Press
`C-x * c` again to re-enter the Calculator when you're done looking
at the units table.

(•) **Exercise 13.** How many seconds are there really
in a year? See 13. (•)

(•) **Exercise 14.** Supercomputer designs are limited by
the speed of light (and of electricity, which is nearly as fast).
Suppose a computer has a 4.1 ns (nanosecond) clock cycle, and its
cabinet is one meter across. Is speed of light going to be a
significant factor in its design? See 14. (•)

(•) **Exercise 15.** Sam the Slug normally travels about
five yards in an hour. He has obtained a supply of Power Pills; each
Power Pill he eats doubles his speed. How many Power Pills can he
swallow and still travel legally on most US highways?
See 15. (•)