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📚 Modeling, Functions, and Graphs
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Chapter 4: Exponential Functions

computer chip, Andre Kudyusov/Getty Images

We next consider another important family of functions, called exponential functions. These functions describe growth by a constant factor in equal time periods. Exponential functions model many familiar processes, including the growth of populations, compound interest, and radioactive decay. Here is an example.

In 1965, Gordon Moore, the cofounder of Intel, observed that the number of transistors on a computer chip had doubled every year since the integrated circuit was invented. Moore predicted that the pace would slow down a bit, but the number of transistors would continue to double every 2 years. More recently, data density has doubled approximately every 18 months, and this is the current definition of Moore's law. Most experts, including Moore himself, expected Moore's law to hold for at least another two decades.

YearName of circuitTransistors
1971 4004 2300
1972 8008 3300
1974 8080 6000
1978 8086 29 , 000
1979 8088 30 , 000
1982 80286 134 , 000
1985 80386 275 , 000
1989 90486 1 , 200 , 000
1993 Pentium 3 , 000 , 000
1995 Pentium Pro 5 , 500 , 000
1997 Pentium II 7 , 500 , 000
1998 Pentium II Xeon 7 , 500 , 000
1999 Pentium III 9 , 500 , 000

The data shown are modeled by the exponential function

N ( t ) = 2200 ( 1.356 ) t

, where t is the number of years since 1970 .

growth

Modeling, Functions, and Graphs by Katherine Yoshiwara (yoshiwarabooks.org), GNU Free Documentation License 1.2 or later. Adapted for the XYZ HTML edition with the authors' permission (recorded 2026-07-04). License: GFDL-1.2-or-later.