3
C H A P T E R 1
Tools for Understanding Space
e universe is big. But it is also very fine-grained, and so there is important detail at both
extremely tiny and unimaginably huge scales of size and distance. To fit this into the human
mind, we need some tools. One of the most important of such tools is the ability to relax:
abandon the idea that it can all make sense at once, and in detail. Instead, we learn how to split
it up into pieces that are manageable to the human mind, and we then learn how to relate those
piece to each other. In the sections that follow, I describe several methods that are useful for
making sense of both the bigness and the tininess, while still keeping track of how it all fits
together.
roughout e Big Picture I make use of both scientific notation and the SI system of physical
units. For readers unfamiliar with either of these tools, Appendix A provides details.
1.1 POWERS OF TEN
e diameter of a grape is roughly 10 mm greater than that of a pea; the diameter of an apple is
approximately 90 mm greater still.
1
But to say that the diameter of Earth is 6;384;000;000 mm
more than that of an apple tells us little. To meaningfully compare sizes that are so disparate, it
is not how much but rather how many times bigger that is important.
e logarithm is a mathematical tool that compares numbers by factors rather than dif-
ferences. Its foundation is the exponential function. As an example of an exponential function, a
sequence of numbers such as 1, 2, 4, 8, 16, 32, … can be written instead as follows: 2
0
, 2
1
, 2
2
,
2
3
, 2
4
, 2
5
, …. And so we can describe the sequence with the exponential function y D 2
x
.
is particular example is an exponential function with a base of 2, but other bases may
be used; the most common is the base 10 exponential function:
y D 10
x
: (1.1)
And so values for x of 1, 2, 3, 4, … simply represent y values of 10, 100, 1000, 10,000, …, or
the number’s power of 10. e inverse of this particular exponential function is called a common
logarithm, and it is defined such that:
log.10
x
/ D x: (1.2)
And so log 10 D 1, log 100 D 2, log 1000 D 3, …. For numbers smaller than one, loga-
rithms have negative values. For example, 0:01 D 10
´
2
, and so from Equation (1.2), we must
1
Parts of this section appeared, in a somewhat different form, in Beaver [2018b, Sec. 1.6].