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Lesson · Rates of Change and the Derivative · Second derivatives and the exponential

The Exponential and Its Rate

An exponential has its variable in the exponent, and its difference quotient factors exactly: bᵗ times a quotient that does not contain t. That second factor is a column of rounded numbers, and the lesson states, without proving it, that the column settles on a constant. The rate of bᵗ is that constant times bᵗ, and e is the base whose constant is 1.

b^(a + h) − b^a = b^a·(b^h − 1) the quotient is b^a·(b^h − 1)/h the second factor does not contain a (bᵗ)′ = (a constant)·bᵗ the constant for 2 is ln 2 ≈ 0.693147 e is the base whose constant is 1
The quotient of an exponential

Core ideas

What this lesson establishes

Three ideas: the exact factoring, what the column of the remaining factor claims, and why this is not the power rule.

1

The quotient factors exactly

The law of exponents from Algebra's Exponential and Logarithmic Functions says b^(a + h) = b^a·b^h. So b^(a + h) − b^a = b^a·(b^h − 1), and dividing by h gives b^a·(b^h − 1)/h. The second factor contains the step h and the base b, and nothing about the place a.

2

One column serves every place

At a = 0, b^a = 1, so the quotient there is the second factor alone. That one column, for halving h, is the same at every place after multiplying by b^a. The lesson states that the column settles on one constant. A table of rounded rows illustrates this and does not prove it.

3

The variable is in the exponent

The power rule differentiates tⁿ, with the variable in the base and the exponent fixed. In 2ᵗ it is the other way round, and the rule does not apply. The rate of 2ᵗ is proportional to 2ᵗ itself, with a constant of proportion, and e is the base for which that constant is 1.

The material

A column of rounded quotients and the constant it heads for

The factoring, the column for the base 2, what is exact and what is rounded, the other bases, and the failure of the power rule.

Apart from 1/t, everything before this lesson was a polynomial, whose quotient is a polynomial in the step and comes out exact. An exponential is not a polynomial, and for most bases and steps its quotient is no longer a fraction, so for the first time in the course some figures are rounded.

b^(a + h) − b^a = b^a·b^h − b^a = b^a·(b^h − 1) (b^(a + h) − b^a)/h = b^a·(b^h − 1)/h

That is exact algebra and nothing is dropped. Every quotient of bᵗ at every place is the base raised to the place, times the quotient at the place 0. Everything depends on the second factor, so look at it for b = 2.

At h = 1 it is (2 − 1)/1 = 1, exactly, because the base is a whole number and the step is 1. At h = 1/2 it is (√2 − 1)/(1/2) = 2(√2 − 1), which has no finite decimal, and the lab prints ≈ 0.828427. From the second row on, every figure in the table is rounded to six significant figures and carries the sign ≈.

b = 2, a = 0, (2^h − 1)/h h quotient 1 1 exact 1/2 ≈ 0.828427 rounded 1/4 ≈ 0.756828 rounded 1/8 ≈ 0.724062 rounded 1/16 ≈ 0.708381 rounded 1/32 ≈ 0.700709 rounded 1/64 ≈ 0.696914 rounded
Theorem · The exponential's rate

For each base b > 0 the quotients (b^h − 1)/h for halving h head for a number written ln b. Then the rate of bᵗ at every t is ln b times bᵗ. The base e ≈ 2.71828 is the one with ln e = 1, so (eᵗ)′ = eᵗ.

This is stated and not proved. The factoring above is proved; that the rounded column settles on one number is what the table suggests and the lab shows for each base, and no table of seven rows establishes it for every step. For b = 2 the column heads for ln 2 ≈ 0.693147, the way the quotients of t² headed for 2.

Other bases, and the one where the constant is 1

For b = 3 the first quotient is (3 − 1)/1 = 2, exact, and the column heads for ln 3 ≈ 1.09861. For b = e, entered in the lab as e, every quotient is rounded, since e itself is not a fraction: the first is e − 1 ≈ 1.71828, and the column heads for 1. That is the definition of the number: of all the bases, e is the one for which the exponential's rate is the exponential itself.

The same column at another place

At a = 3, with b = 2, the quotient at h = 1 is (16 − 8)/1 = 8, exactly 2³ times the first entry of the column above. Every later row is 8 times the matching row of that column, so the rate of 2ᵗ at 3 is 8·ln 2 ≈ 5.54518, rounded. The lab's ratio tile divides the last quotient by 2³ and gets back the column at 0.

Why the power rule is not allowed here

Applying the power rule to 2ᵗ would give t·2^(t − 1). At t = 0 that is 0, but the quotients of 2ᵗ at 0 head for ≈ 0.693147. The power rule belongs to a variable base and a fixed exponent. When the variable is in the exponent, the rate is proportional to the function.

A quantity whose rate is a constant multiple of itself is exactly what the equation y′ = k·y says, and this lesson has shown that exponentials have the property. That equation opens the second half of this Subject, in Separable Equations, Growth and Decay.

Interactive

Rates of bᵗ, sin and cos

Rounded quotients, labelled, and what they approach

Quotients that are not fractionsrounded to six significant figures and labelled
fsecant at the smallest htangent

Method

Reading the rate of an exponential

Five moves. The first is exact algebra and the rest read a rounded table, so keep the two apart.

1

Factor the quotient

Write b^(a + h) as b^a·b^h, take out b^a, and the quotient is b^a·(b^h − 1)/h. This step is exact.

2

Build the column at a = 0

At a = 0 the factor b^a is 1, so the quotient is (b^h − 1)/h. Halve the step row by row. For the bases 2 and 3 only the first entry is a fraction, and the lab prints every later one rounded.

3

Read each figure with its sign

Every figure with ≈ is a rounded decimal of a number with no finite decimal. Never quote one as exact, and never read the last row as the constant itself.

4

Multiply by b^a for another place

The quotient at a is b^a times the column at 0, so the constant the column heads for is the same at every place.

5

Name the constant

For b = 2 it is ln 2 ≈ 0.693147, for b = 3 it is ln 3 ≈ 1.09861, and for b = e it is exactly 1.

Exponents, columns and constants

Score 0 / 0

2ᵗ at 0, then at 3

The first row is exact. Every row after it is rounded to six significant figures, and the lab says so beside it.

a = 0: b^a = 1, so the quotient is (2^h − 1)/h h = 1: (2 − 1)/1 = 1 exact h = 1/2: 2(√2 − 1) ≈ 0.828427 rounded h = 1/64: ≈ 0.696914 rounded heads for ln 2 ≈ 0.693147 a = 3: b^a = 8 h = 1: (16 − 8)/1 = 8 exact h = 1/64: 8·(the column at 0) ≈ 5.57531 rounded heads for 8·ln 2 ≈ 5.54518

The factoring is exact, so the second block is the first multiplied by 8 row for row. The constant is claimed, and the lab shows the column sinking toward it.

For a rehearsal, take b = 3 at a = 0: the first entry is 2, and the column should head for ≈ 1.09861, which is ln 3.

Common mistakes

1
Applying the power rule to an exponentialThe derivative of 2ᵗ is not t·2^(t − 1). At t = 0 that gives 0, but the quotients of 2ᵗ at 0 are 1, ≈ 0.828427, ≈ 0.756828, …, heading for ≈ 0.693147. In 2ᵗ the variable is in the exponent, and the rate is a constant times 2ᵗ.
2
Quoting a rounded figure as if it were exact≈ 0.828427 is a decimal approximation of 2(√2 − 1), and ln 2 ≈ 0.693147 has no finite decimal either. Write ≈ whenever a figure was rounded, and read the last row of the column as a step on the way to the constant and not the constant.
3
Expecting the constant to change with the placeThe quotients at a = 3 are eight times those at a = 0, but the factor (2^h − 1)/h is the same. The ratio tile divides the place's value out and gets the same column back. The rate depends on where you are only through the factor b^a.

Check your understanding

✓
Finish when you can factor the quotient of an exponential, read the remaining factor from a rounded column, and state the rate of bᵗ as a constant times bᵗ.

You should be able to write the quotient of bᵗ as b^a·(b^h − 1)/h, say which entries of the column are exact and which are rounded, name the constant for a given base, and say why the power rule does not apply.

Note: That ends the course. A rate has been computed as a fraction, read as a derivative, found by rule, and applied to the shape of a graph. The next course, Accumulation and the Integral, runs the other way: given the rate, recover the quantity.

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