Solutions A Answers to Odd Exercises
1 Limits
1.1 An Introduction To Limits
1.1.3 Exercises
Terms and Concepts
1.1.3.3.
False: the limit considers values of \(x\) near to \(5\text{,}\) but not equal to \(5\text{.}\)
Problems
1.1.3.7.
For a numerical approximation, make a table:
\(x\) | \({x^{2}+2x+2}\) |
\(0.9\) | \({4.61}\) |
\(0.99\) | \({4.9601}\) |
\(0.999\) | \({4.996}\) |
\(1.001\) | \({5.004}\) |
\(1.01\) | \({5.0401}\) |
\(1.1\) | \({5.41}\) |
For a graphical approximation:
It appears that when \(x\) is close to \(1\text{,}\) that \({x^{2}+2x+2}\) is close to \({5}\text{.}\) So \(\lim_{x\to 1}\left({x^{2}+2x+2}\right)={5}\text{.}\)
1.1.3.9.
For a numerical approximation, make a table:
\(x\) | \({\frac{x-5}{x^{2}-4x}}\) |
\(-0.1\) | \({-12.439}\) |
\(-0.01\) | \({-124.938}\) |
\(-0.001\) | \({-1249.94}\) |
\(0.001\) | \({1250.06}\) |
\(0.01\) | \({125.063}\) |
\(0.1\) | \({12.5641}\) |
For a graphical approximation:
It appears that when \(x\) is close to \(0\text{,}\) that \({\frac{x-5}{x^{2}-4x}}\) grows without bound. So \(\lim_{x\to 0}\left({\frac{x-5}{x^{2}-4x}}\right)\) does not exist (DNE).
1.1.3.11.
For a numerical approximation, make a table:
\(x\) | \({\frac{x^{2}+10x+21}{x^{2}+5x+6}}\) |
\(-3.1\) | \({-3.54545}\) |
\(-3.01\) | \({-3.9505}\) |
\(-3.001\) | \({-3.995}\) |
\(-2.999\) | \({-4.00501}\) |
\(-2.99\) | \({-4.05051}\) |
\(-2.9\) | \({-4.55556}\) |
For a graphical approximation:
It appears that when \(x\) is close to \(-3\text{,}\) that \({\frac{x^{2}+10x+21}{x^{2}+5x+6}}\) is close to \({-4}\text{.}\) So \(\lim_{x\to -3}\left({\frac{x^{2}+10x+21}{x^{2}+5x+6}}\right)={-4}\text{.}\)
1.1.3.13.
For a numerical approximation, make a table:
\(x\) | \({\begin{cases}\displaystyle{x+1}\amp \text{if}\ x \le -1\cr \displaystyle{-\left(3x+4\right)}\amp \text{if}\ x > -1\end{cases}}\) |
\(-1.1\) | \({-0.1}\) |
\(-1.01\) | \({-0.01}\) |
\(-1.001\) | \({-0.001}\) |
\(-0.999\) | \({-1.003}\) |
\(-0.99\) | \({-1.03}\) |
\(-0.9\) | \({-1.3}\) |
For a graphical approximation:
It appears that when \(x\) is close to \(-1\text{,}\) that \(f(x)\) approaches different values from the left and right. So \(\lim_{x\to -1}f(x)\) does not exist.
1.1.3.15.
For a numerical approximation, make a table:
\(x\) | \({\begin{cases}\displaystyle{\cos\!\left(x\right)}\amp \text{if}\ x \le 0\cr \displaystyle{x^{2}+2x+1}\amp \text{if}\ x > 0\end{cases}}\) |
\(-0.1\) | \({0.995004}\) |
\(-0.01\) | \({0.99995}\) |
\(-0.001\) | \({1}\) |
\(0.001\) | \({1.002}\) |
\(0.01\) | \({1.0201}\) |
\(0.1\) | \({1.21}\) |
For a graphical approximation:
It appears that when \(x\) is close to \(0\text{,}\) that \(f(x)\) approaches 1. So \(\lim_{x\to 0}f(x)={1}\text{.}\)
1.1.3.17.
For a numerical approximation, make a table:
\(x\) | \({\left|x\right|^{x}}\) |
\(-0.1\) | \({1.25893}\) |
\(-0.01\) | \({1.04713}\) |
\(-0.001\) | \({1.00693}\) |
\(0.001\) | \({0.993116}\) |
\(0.01\) | \({0.954993}\) |
\(0.1\) | \({0.794328}\) |
For a graphical approximation:
It appears that when \(x\) is close to \(0\text{,}\) that \(\lvert x \rvert^x\) is close to \(1\text{.}\) So \(\lim_{x\to 0}\lvert x\rvert^x=1\text{.}\)
1.1.3.19.
For a numerical approximation, make a table:
\(x\) | \(\big\lfloor\lvert x\rvert\big\rfloor !\) |
\(-5.1\) | \(120\) |
\(-5.01\) | \(120\) |
\(-5.001\) | \(120\) |
\(-4.999\) | \(24\) |
\(-4.99\) | \(24\) |
\(-4.9\) | \(24\) |
For a graphical approximation:
It appears that when \(x\) is close to \(-5\text{,}\) that \(\big\lfloor\lvert x\rvert\big\rfloor !\) approaches different values from the left and right. So
1.1.3.21.
\(h\) | \(\frac{f(a+h)-f(a)}{h}\) |
\(-0.1\) | \({-7}\) |
\(-0.01\) | \({-7}\) |
\(0.01\) | \({-7}\) |
\(0.1\) | \({-7}\) |
\(\lim\limits_{h\to0}\frac{f(a+h)-f(a)}{h}=\)-7.
1.1.3.23.
\(h\) | \(\frac{f(a+h)-f(a)}{h}\) |
\(-0.1\) | \({4.9}\) |
\(-0.01\) | \({4.99}\) |
\(0.01\) | \({5.01}\) |
\(0.1\) | \({5.1}\) |
It appears that \(\lim\limits_{h\to0}\frac{f(a+h)-f(a)}{h}={5}\text{.}\)
1.1.3.25.
\(h\) | \(\frac{f(a+h)-f(a)}{h}\) |
\(-0.1\) | \({29.4}\) |
\(-0.01\) | \({29.04}\) |
\(0.01\) | \({28.96}\) |
\(0.1\) | \({28.6}\) |
It appears that \(\lim\limits_{h\to0}\frac{f(a+h)-f(a)}{h}={29}\text{.}\)
1.1.3.27.
\(h\) | \(\frac{f(a+h)-f(a)}{h}\) |
\(-0.1\) | \({-0.998334}\) |
\(-0.01\) | \({-0.999983}\) |
\(0.01\) | \({-0.999983}\) |
\(0.1\) | \({-0.998334}\) |
It appears that \(\lim\limits_{h\to0}\frac{f(a+h)-f(a)}{h}={-1}\text{.}\)
1.2 Epsilon-Delta Definition of a Limit
Exercises
Terms and Concepts
1.2.1.
\(\varepsilon\) should be given first, and the restriction \(\abs{x-a}\lt \delta\) implies \(\abs{f(x)-K}\lt\varepsilon\text{,}\) not the other way around.
1.2.3.
Problems
1.2.5.
Let \(\varepsilon \gt 0\) be given. We wish to find \(\delta \gt 0\) such that when \(|x-4|\lt \delta\text{,}\) \(\abs{f(x)-13}\lt \epsilon\text{.}\)
Consider \(\abs{f(x)-13}\lt \varepsilon\text{:}\)
This implies we can let \(\delta =\varepsilon/2\text{.}\) Then:
which is what we wanted to prove.
1.2.7.
Let \(\varepsilon \gt 0\) be given. We wish to find \(\delta \gt 0\) such that when \(\abs{x-3}\lt\delta\text{,}\) \(\abs{f(x)-6}\lt\varepsilon\text{.}\)
First, some preliminary investigation to find a suitable \(\delta\text{.}\) Consider \(\abs{f(x)-6}\lt\varepsilon\text{:}\)
Since \(x\) is near \(3\text{,}\) we can safely assume that, for instance, \(2\lt x\lt 4\text{.}\) Thus
Since we need to begin the actual proof with \(\abs{x-3}\lt\delta\text{,}\) this suggests that we take \(\delta=\frac{\varepsilon}{7}\text{.}\)
Now we can apply the definition.
In other words, \(\abs{x-3}\lt\delta\) implies \(\abs{\left(x^2-3\right)-6}\lt\varepsilon\text{.}\) This is what we needed to prove.
1.2.9.
Let \(\varepsilon \gt 0\) be given. We wish to find \(\delta \gt 0\) such that when \(\abs{x-1}\lt \delta\text{,}\) \(\abs{f(x)-6}\lt \varepsilon\text{.}\)
First, some prelimary investigation to find a suitable \(\delta\text{.}\) Consider \(\abs{f(x)-6}\lt \varepsilon\text{,}\) keeping in mind we want to make a statement about \(\abs{x-1}\text{:}\)
Since \(x\) is near \(1\text{,}\) we can safely assume that, for instance, \(0\lt x\lt 2\text{.}\) Thus
Let \(\delta =\frac{\varepsilon}{9}\text{.}\) Then:
Assuming \(x\) is near \(1\text{,}\) \(2x+5\) is positive and we can drop the absolute value signs on the right.
which is what we wanted to prove.
1.2.11.
Let \(\varepsilon \gt 0\) be given. We wish to find \(\delta \gt 0\) such that when \(\abs{x-2}\lt\delta\text{,}\) \(\abs{f(x)-5}\lt\varepsilon\text{.}\)
First, some preliminary investigation to find a suitable \(\delta\text{.}\) Consider \(\abs{f(x)-5}\lt\varepsilon\text{:}\)
Well, this is just plain true no matter what \(\varepsilon\) is (as long as its positive). So it really doesn’t matter what \(\delta\) is.
Now we can apply the definition.
In other words, \(\abs{x-2}\lt\delta\) (vacuously) implies \(\abs{5-5}\lt\varepsilon\text{.}\) This is what we needed to prove.
1.2.13.
Let \(\epsilon \gt 0\) be given. We wish to find \(\delta \gt 0\) such that when \(|x-1|\lt \delta\text{,}\) \(|f(x)-1|\lt \epsilon\text{.}\)
Consider \(|f(x)-1|\lt \epsilon\text{,}\) keeping in mind we want to make a statement about \(|x-1|\text{:}\)
Since \(x\) is near 1, we can safely assume that, for instance, \(1/2\lt x\lt 3/2\text{.}\) Thus \(\epsilon/2 \lt \epsilon\cdot x\text{.}\)
Let \(\delta =\frac{\epsilon}{2}\text{.}\) Then:
Assuming \(x\) is near 1, \(x\) is positive and we can bring it into the absolute value signs on the left.
which is what we wanted to prove.
1.3 Finding Limits Analytically
Exercises
Terms and Concepts
1.3.5.
As \(x\) is near \(1\text{,}\) both \(f\) and \(g\) are near \(0\text{,}\) but \(f\) is approximately twice the size of \(g\text{.}\) (That is, \(f(x)\approx2g(x)\text{.}\))
Problems
1.3.19.
1.3.21.
1.3.23.
This limit does not exist for at least two reasons. For one reason, \(\ln(x)\) can be arbitrarily large negative if you allow \(x\) to be positive and close enough to \(0\text{.}\) Also, since \(\ln(x)\) is undefined for negative \(x\) and \(\lim\limits_{x\to0}\ln(x)\) is an expression that depends on outputs of \(\ln\) using inputs both slightly smaller and slightly larger than \(0\text{,}\) we cannot hope to give meaning to \(\lim\limits_{x\to0}\ln(x)\text{.}\)
1.3.25.
1.3.27.
1.3.29.
1.3.31.
1.3.33.
1.3.43.
Apply Part 1 of Theorem 1.3.1.
Apply Theorem 1.3.21; \(g(x)=\frac{x}{x}\) is the same as \(g(x)=1\) everywhere except at \(x=0\text{.}\) Thus \(\lim\limits_{x\to0}g(x)=\lim_{x\to0}1=1\text{.}\)
The function \(f\) always gives output \(0\text{,}\) so \(g(f(x))\) is never defined as \(g\) is not defined for an input of \(0\text{.}\) Therefore the limit does not exist.
The Composition Rule requires that \(\lim\limits_{x\to0}g(x)\) be equal to \(g(0)\text{.}\) They are not equal, so the conditions of the Composition Rule are not satisfied, and hence the rule is not violated.
1.4 One-Sided Limits
Exercises
Terms and Concepts
1.4.1.
The function approaches different values from the left and right; the function grows without bound; the function oscillates.
1.4.3.
False: just because the left-hand limit equals some number, that doesn’t mean the right-hand limit exists or equals the same number.
Problems
Review
1.4.23.
1.4.25.
1.5 Continuity
Exercises
Terms and Concepts
1.5.3.
A root of a function \(f\) is a value \(c\) such that \(f(c)=0\text{.}\)
1.5.5.
1.5.7.
1.5.9.
Problems
1.5.23.
Since \(f\) is a polynomial function, it is continuous on \((-\infty,\infty)\text{.}\)
1.5.25.
The domain of \(f\) is \({\left[-5,5\right]}\text{,}\) and since \(f\) is a composition of continuous functions on that domain, it is continuous on \({\left[-5,5\right]}\text{.}\)
1.5.27.
1.5.29.
1.5.31.
1.5.33.
1.5.35.
Yes, by the Intermediate Value Theorem.
1.5.37.
We cannot say; the Intermediate Value Theorem only applies to function values between \(-10\) and 10; as 11 is outside this range, we do not know.
Review
1.5.43.
1.6 Limits Involving Infinity
1.6.4 Exercises
Terms and Concepts
1.6.4.1.
1.6.4.3.
1.6.4.5.
Problems
1.6.4.15.
Tables will vary.
\(x\) \(f(x)\) \(5.9\) \({-45.0465}\) \(5.99\) \({-460.432}\) \(5.999\) \({-4614.28}\)
It seems \(\lim\limits_{x\to6^{-}}f(x)={-\infty }\text{.}\)
\(x\) \(f(x)\) \(6.1\) \({47.2595}\) \(6.01\) \({462.645}\) \(6.001\) \({4616.49}\)
It seems \(\lim\limits_{x\to6^{+}}f(x)={\infty }\text{.}\)
It seems \(\lim\limits_{x\to3}f(x)\) does not exist.
1.6.4.17.
Tables will vary.
\(x\) \(f(x)\) \(-9.1\) \({-500.09}\) \(-9.01\) \({-49182.7}\) \(-9.001\) \({-4.91001\times 10^{6}}\)
It seems \(\lim\limits_{x\to-9^{-}}f(x)={-\infty }\text{.}\)
\(x\) \(f(x)\) \(-8.9\) \({-481.743}\) \(-8.99\) \({-48999.2}\) \(-8.999\) \({-4.90817\times 10^{6}}\)
It seems \(\lim\limits_{x\to-9^{+}}f(x)={-\infty }\text{.}\)
It seems \(\lim\limits_{x\to3}f(x)\) is `-\infty `.
1.6.4.19.
There are horizontal/vertical asymptotes at \({y = 5, x = 3, x = -4}\text{.}\)
1.6.4.21.
There are horizontal/vertical asymptotes at \({y = 0, x = 0, x = 8}\text{.}\)
1.6.4.23.
There are horizontal/vertical asymptotes at \({\text{NONE}}\text{.}\)
Review
1.6.4.29.
Let \(\varepsilon \gt 0\) be given. We wish to find \(\delta>0\) such that when \(\abs{x-1}\lt\delta\text{,}\) \(\abs{f(x)-3}\lt\varepsilon\text{.}\)
First, some preliminary investigation to find a suitable \(\delta\text{.}\) Consider \(\abs{f(x)-3}\lt\varepsilon\text{:}\)
Since we want to start with \(\abs{x-1}\lt\delta\text{,}\) this suggests we let \(\delta=\varepsilon/5\text{.}\)
Now we can apply the definition.
In other words, \(\abs{x-1}\lt\delta\) implies \(\abs{(5x-2)-3}\lt\varepsilon\text{.}\) This is what we needed to prove.
1.6.4.31.
2 Derivatives
2.1 Instantaneous Rates of Change: The Derivative
2.1.3 Exercises
Terms and Concepts
2.1.3.1.
Problems
2.1.3.27.
2.1.3.35.
\(\lim_{h\to0^+}\frac{f(0+h)-f(0)}h =0\text{;}\) note also that \(\lim_{x\to0^+}\fp(x) = 0\text{.}\) So \(f\) is differentiable at \(x=0\text{.}\)
\(\lim_{h\to0^-}\frac{f(1+h)-f(1)}h =-\infty\text{;}\) note also that \(\lim_{x\to1^-}\fp(x) = -\infty\text{.}\) So \(f\) is not differentiable at \(x=1\text{.}\)
\(f\) is differentiable on \([0,1)\text{,}\) not its entire domain.
Review
2.1.3.37.
2.1.3.39.
2.2 Interpretations of the Derivative
2.2.5 Exercises
Terms and Concepts
2.2.5.1.
2.2.5.3.
Problems
2.2.5.5.
2.2.5.7.
\(f(10.1)\) is likely most accurate, as accuracy is lost the farther from \(x=10\) we go.
2.2.5.9.
2.2.5.11.
2.2.5.13.
thousands of dollars per car
It is likely that \(P(0)\lt 0\text{.}\) That is, negative profit for not producing any cars.
Review
2.2.5.19.
2.2.5.21.
2.3 Basic Differentiation Rules
2.3.3 Exercises
Terms and Concepts
2.3.3.1.
2.3.3.3.
One answer is \(f(x) = 10e^x\text{.}\) Any constant multiple of \(e^x\) will do.
2.3.3.7.
One answer is \(f(x) = 17x-205\text{.}\) Any linear function with nonzero slope will do.
2.3.3.9.
Problems
Review
2.3.3.39.
The tangent line to \(f(x) = e^x\) at \(x=0\) is \(y=x+1\text{;}\) thus \(e^{0.1} \approx y(0.1) = 1.1\text{.}\)
2.4 The Product and Quotient Rules
Exercises
Terms and Concepts
2.4.1.
2.4.3.
2.4.5.
Problems
Review
2.5 The Chain Rule
Exercises
Terms and Concepts
2.5.1.
2.5.3.
2.5.5.
Problems
2.5.41.
In both cases the derivative is the same: \(1/x\text{.}\)
Review
2.5.43.
\(^\circ\)F/mph
The sign would be negative; when the wind is blowing at 10 mph, any increase in wind speed will make it feel colder, i.e., a lower number on the Fahrenheit scale.
2.6 Implicit Differentiation
2.6.4 Exercises
Terms and Concepts
2.6.4.3.
Problems
2.6.4.13.
2.6.4.15.
2.6.4.17.
2.6.4.19.
2.6.4.21.
2.6.4.23.
If one takes the derivative of the equation, as shown, using the Quotient Rule, one finds \(\frac{dy}{dx} = \frac{-\cos (x) (x+\cos (y))+\sin (x)+y}{\sin (y) (\sin (x)+y)+x+\cos (y)}\text{.}\)
If one first clears the denominator and writes \(\sin(x)+y = \cos(y)+x\) then takes the derivative of both sides, one finds \(\frac{dy}{dx} = \frac{1-\cos(x)}{1+\sin(y)}\text{.}\)
These expressions, by themselves, are not equal. However, for values of \(x\) and \(y\) that satisfy the original equation (i.e, for \(x\) and \(y\) such that \(\frac{\sin(x)+y)}{\cos(y)+x)}=1\)), these expressions are equal.
2.6.4.25.
2.7 Derivatives of Inverse Functions
Exercises
Terms and Concepts
2.7.1.
2.7.3.
The point \((10,1)\) lies on the graph of \(y=f^{-1}(x)\) (assuming \(f\) is invertible).
Problems
2.7.5.
Compose \(f(g(x))\) and \(g(f(x))\) to confirm that each equals \(x\text{.}\)
2.7.7.
Compose \(f(g(x))\) and \(g(f(x))\) to confirm that each equals \(x\text{.}\)
2.7.25.
\(f(x) = x\text{,}\) so \(\fp(x) = 1\text{.}\)
\(\displaystyle \fp(x) = \cos(\sin^{-1}(x) )\frac{1}{\sqrt{1-x^2}} = 1\text{.}\)
2.7.27.
\(f(x) = \sqrt{1-x^2}\text{,}\) so \(\fp(x) = \frac{-x}{\sqrt{1-x^2}}\text{.}\)
\(\displaystyle \fp(x) = \cos(\cos^{-1}(x) ) \frac{1}{\sqrt{1-x^2}} =\frac{-x}{\sqrt{1-x^2}}\text{.}\)
2.7.29.
Review
2.7.31.
3 The Graphical Behavior of Functions
3.1 Extreme Values
Exercises
Terms and Concepts
3.1.1.
Answers will vary.
3.1.3.
Answers will vary.
3.1.5.
Problems
Review
3.1.27.
3.1.29.
3.2 The Mean Value Theorem
Exercises
Terms and Concepts
3.2.1.
Answers will vary.
Problems
Review
3.2.21.
3.2.23.
There aren’t any critical points. Wherever \(\tan(x)\) is defined, its derivative is also defined and strictly positive.
3.3 Increasing and Decreasing Functions
Exercises
Terms and Concepts
3.3.3.
3.3.5.
False; for instance, \(y=x^3\) is always increasing though it has a critical point at \(x=0\text{.}\)
Problems
3.3.15.
3.3.17.
3.3.19.
3.3.21.
3.3.23.
Review
3.3.25.
3.4 Concavity and the Second Derivative
3.4.3 Exercises
Terms and Concepts
3.4.3.1.
3.4.3.3.
Problems
3.5 Curve Sketching
Exercises
3.5.7.
A good sketch will include the \(x\) and \(y\) intercepts..
3.5.9.
Use technology to verify sketch.
3.5.11.
Use technology to verify sketch.
3.5.13.
Use technology to verify sketch.
3.5.15.
Use technology to verify sketch.
3.5.17.
Use technology to verify sketch.
3.5.19.
Use technology to verify sketch.
3.5.21.
Use technology to verify sketch.
3.5.23.
Use technology to verify sketch.
3.5.25.
Use technology to verify sketch.
3.5.27.
Critical points: \(x=\frac{n\pi/2-b}{a}\text{,}\) where \(n\) is an odd integer Points of inflection: \((n\pi-b)/a\text{,}\) where \(n\) is an integer.
3.5.29.
\(\frac{dy}{dx} = -x/y\text{,}\) so the function is increasing in second and fourth quadrants, decreasing in the first and third quadrants.
\(\frac{d^2y}{dx^2} = -1/y - x^2/y^3\text{,}\) which is positive when \(y\lt 0\) and is negative when \(y\gt0\text{.}\) Hence the function is concave down in the first and second quadrants and concave up in the third and fourth quadrants.
4 Applications of the Derivative
4.1 Newton's Method
Exercises
Terms and Concepts
4.1.1.
Problems
4.1.17.
The approximations alternate between \(x=1\) and \(x=2\text{.}\)
4.2 Related Rates
Exercises
Terms and Concepts
4.2.1.
Problems
4.2.3.
4.2.5.
4.2.11.
4.2.13.
4.2.15.
4.3 Optimization
Exercises
Terms and Concepts
4.3.1.
Problems
4.3.3.
4.3.5.
There is no maximum sum; the fundamental equation has only 1 critical value that corresponds to a minimum.
4.3.7.
4.3.9.
4.3.11.
4.3.13.
4.3.15.
4.3.17.
4.4 L'Hospital's Rule
4.4.4 Exercises
Terms and Concepts
4.4.4.1.
\(0/0, \infty/\infty, 0\cdot\infty,\infty-\infty,0^0,1^\infty,\infty^0\)
4.4.4.3.
Problems
4.4.4.9.
4.4.4.11.
4.4.4.13.
4.4.4.15.
4.4.4.17.
4.4.4.19.
4.4.4.21.
4.4.4.23.
4.4.4.25.
4.4.4.27.
4.4.4.29.
4.4.4.31.
4.4.4.33.
4.4.4.35.
4.4.4.37.
4.4.4.39.
4.4.4.41.
4.4.4.43.
4.4.4.45.
4.4.4.47.
4.4.4.49.
4.4.4.51.
4.4.4.53.
4.5 Taylor Polynomials
Exercises
Terms and Concepts
4.5.1.
The Maclaurin polynomial is a special case of Taylor polynomials. Taylor polynomials are centered at a specific \(x\)-value; when that \(x\)-value is 0, it is a Maclauring polynomial.
4.5.3.
A higher-degree Maclaurin polynomial begins with the same terms as any lower-degree Maclaurin polynomial of the same function. Therefore,
Problems
4.5.21.
\(p_3(x) =x-\frac{x^3}{6}\text{;}\) \(p_3(0.1) = 0.09983\text{.}\) Error is bounded by \(\pm \frac{1}{4!}\cdot0.1^4 \approx \pm 0.000004167\text{.}\)
4.5.23.
\(p_2(x) =3+\frac{1}{6} (-9+x)-\frac{1}{216} (-9+x)^2\text{;}\) \(p_2(10) = 3.16204\text{.}\) The third derivative of \(f(x) =\sqrt x\) is bounded on \((8,11)\) by \(0.003\text{.}\) Error is bounded by \(\pm \frac{0.003}{3!}\cdot1^3 = \pm 0.0005\text{.}\)
4.5.25.
The \(n\)th derivative of \(f(x)=e^x\) is bounded by \(3\) on intervals containing \(0\) and 1. Thus \(\abs{R_n(1)}\leq \frac{3}{(n+1)!}1^{(n+1)}\text{.}\) When \(n=7\text{,}\) this is less than \(0.0001\text{.}\)
4.5.27.
The \(n\)th derivative of \(f(x)=\cos(x)\) is bounded by \(1\) on intervals containing \(0\) and \(\pi/3\text{.}\) Thus \(\abs{R_n(\pi/3)}\leq \frac{1}{(n+1)!}(\pi/3)^{(n+1)}\text{.}\) When \(n=7\text{,}\) this is less than \(0.0001\text{.}\) Since the Maclaurin polynomial of \(\cos(x)\) only uses even powers, we can actually just use \(n=6\text{.}\)
4.5.29.
The \(n\)th term is \(\frac{1}{n!}x^n\text{.}\)
4.5.31.
4.5.33.
The \(n\)th term is \((-1)^nx^n\text{.}\)
4.6 Differentials
Exercises
Terms and Concepts
4.6.1.
4.6.3.
Problems
4.6.7.
Use \(y = {x^{2}}\text{;}\) \(dy = {2x}\cdot dx\) with \(x=6\) and \(dx = 0.07\text{.}\) Thus \(dy = {0.84}\text{;}\) knowing \({6.07^{2}}={36}\text{,}\) we have \({6.07^{2}} \approx {36.84}\text{.}\)
4.6.9.
Use \(y = {x^{3}}\text{;}\) \(dy = {3x^{2}}\cdot dx\) with \(x=7\) and \(dx = 0.4\text{.}\) Thus \(dy = {58.8}\text{;}\) knowing \({7.4^{3}}={343}\text{,}\) we have \({7.4^{3}} \approx {401.8}\text{.}\)
4.6.11.
Use \(y = {\sqrt{x}}\text{;}\) \(dy = {\frac{1}{2\sqrt{x}}}\cdot dx\) with \(x=49\) and \(dx = 0.4\text{.}\) Thus \(dy = {0.0285714}\text{;}\) knowing \({\sqrt{49.4}}={7}\text{,}\) we have \({\sqrt{49.4}} \approx {7.02857}\text{.}\)
4.6.13.
Use \(y = {\sqrt[3]{x}}\text{;}\) \(dy = {0.333333\frac{1}{\left(\sqrt[3]{x}\right)^{2}}}\cdot dx\) with \(x=8\) and \(dx = -0.9\text{.}\) Thus \(dy = {-0.075}\text{;}\) knowing \({\sqrt[3]{7.1}}={2}\text{,}\) we have \({\sqrt[3]{7.1}} \approx {1.925}\text{.}\)
4.6.15.
Use \(y = {\sin\!\left(x\right)}\text{;}\) \(dy = {\cos\!\left(x\right)}\cdot dx\) with \(x={3.14159}\) and \(dx = {-0.141593}\text{.}\) Thus \(dy = {0.141593}\text{;}\) knowing \({\sin\!\left(3\right)}={0}\text{,}\) we have \({\sin\!\left(3\right)} \approx {0.141593}\text{.}\)
4.6.31.
4.6.33.
5 Integration
5.1 Antiderivatives and Indefinite Integration
5.1.2 Exercises
Terms and Concepts
5.1.2.7.
Problems
5.2 The Definite Integral
Exercises
Terms and Concepts
5.2.3.
Problems
5.2.17.
Review
5.3 Riemann Sums
5.3.4 Exercises
Terms and Concepts
5.3.4.1.
5.3.4.3.
Problems
Review
5.4 The Fundamental Theorem of Calculus
5.4.6 Exercises
Terms and Concepts
5.4.6.3.
Problems
5.5 Numerical Integration
5.5.6 Exercises
Terms and Concepts
5.5.6.1.
5.5.6.3.
They are superseded by the Trapezoidal Rule; it takes an equal amount of work and is generally more accurate.
Problems
6 Techniques of Antidifferentiation
6.1 Substitution
6.1.5 Exercises
Terms and Concepts
6.1.5.1.
Problems
6.2 Integration by Parts
Exercises
Terms and Concepts
6.2.1.
6.2.3.
Determining which functions in the integrand to set equal to “\(u\)” and which to set equal to “\(dv\)”.
Problems
6.3 Trigonometric Integrals
6.3.4 Exercises
Terms and Concepts
6.3.4.1.
6.3.4.3.
Problems
6.4 Trigonometric Substitution
Exercises
Terms and Concepts
6.4.1.
6.4.3.
Problems
6.5 Partial Fraction Decomposition
Exercises
Terms and Concepts
6.5.1.
Problems
6.6 Hyperbolic Functions
6.6.3 Exercises
Terms and Concepts
6.6.3.1.
Because \(\cosh(x)\) is always positive.
Problems
6.6.3.3.
\(\begin{aligned}\coth^2(x) -\csch^2(x) \amp = \left(\frac{e^x+e^{-x}}{e^x-e^{-x}}\right)^2 - \left(\frac{2}{e^x-e^{-x}}\right)^2 \\ \amp = \frac{(e^{2x} + 2 + e^{-2x}) - (4)}{e^{2x} - 2 + e^{-2x}}\\ \amp = \frac{e^{2x} - 2 + e^{-2x}}{e^{2x} - 2 + e^{-2x}}\\ \amp = 1 \end{aligned}\)
6.6.3.5.
\(\begin{aligned}\cosh^2(x) \amp = \left(\frac{e^x+e^{-x}}{2}\right)^2 \\ \amp = \frac{e^{2x} + 2 + e^{-2x}}{4} \\ \amp = \frac12\frac{(e^{2x} + e^{-2x})+2}{2}\\ \amp = \frac12\left(\frac{e^{2x} + e^{-2x}}{2}+1\right)\\ \amp = \frac{\cosh(2x) +1}{2}. \end{aligned}\)
6.6.3.7.
\(\begin{aligned}\frac{d}{dx}\left[\sech(x) \right] \amp = \frac{d}{dx}\left[\frac{2}{e^x+e^{-x}}\right] \\ \amp = \frac{-2(e^x-e^{-x})}{(e^x+e^{-x})^2} \\ \amp = -\frac{2(e^x-e^{-x})}{(e^x+e^{-x})(e^x+e^{-x})} \\ \amp = -\frac{2}{e^x+e^{-x}}\cdot \frac{e^x-e^{-x}}{e^x+e^{-x}}\\ \amp = -\sech(x) \tanh(x) \end{aligned}\)
6.6.3.9.
\(\ds \int \tanh(x) \, dx = \int \frac{\sinh(x) }{\cosh(x) }\, dx\)
Let \(u = \cosh(x)\text{;}\) \(du = (\sinh(x) ) dx\)
\(\begin{aligned}\amp = \int \frac{1}{u}\,du \\ \amp = \ln\abs{u} + C \\ \amp = \ln(\cosh(x) ) + C. \end{aligned}\)
6.7 Improper Integration
6.7.4 Exercises
Terms and Concepts
6.7.4.1.
The interval of integration is finite, and the integrand is continuous on that interval.
6.7.4.3.
converges; could also state \(\lt 10\text{.}\)
6.7.4.5.
Problems
7 Applications of Integration
7.1 Area Between Curves
Exercises
Terms and Concepts
7.1.1.
Problems
7.1.19.
On regions such as \([\pi/6,5\pi/6]\text{,}\) the area is \(3\sqrt{3}/2\text{.}\) On regions such as \([-\pi/2,\pi/6]\text{,}\) the area is \(3\sqrt{3}/4\text{.}\)
7.1.31.
7.2 Volume by Cross-Sectional Area; Disk and Washer Methods
Exercises
Terms and Concepts
7.2.1.
7.2.3.
Recall that “\(dx\)” does not just “sit there;” it is multiplied by \(A(x)\) and represents the thickness of a small slice of the solid. Therefore \(dx\) has units of in, giving \(A(x)\,dx\) the units of in\(^3\text{.}\)
Problems
7.2.13.
\(\displaystyle 512\pi/15\)
\(\displaystyle 256\pi/5\)
\(\displaystyle 832\pi/15\)
\(\displaystyle 128\pi/3\)
7.2.15.
\(\displaystyle 104\pi/15\)
\(\displaystyle 64\pi/15\)
\(\displaystyle 32\pi/5\)
7.2.17.
\(\displaystyle 8\pi\)
\(\displaystyle 8\pi\)
\(\displaystyle 16\pi/3\)
\(\displaystyle 8\pi/3\)
7.2.19.
The cross-sections of this cone are the same as the cone in Exercise 7.2.18. Thus they have the same volume of \(250\pi/3\) units\(^3\text{.}\)
7.2.21.
Orient the solid so that the \(x\)-axis is parallel to long side of the base. All cross-sections are trapezoids (at the far left, the trapezoid is a square; at the far right, the trapezoid has a top length of 0, making it a triangle). The area of the trapezoid at \(x\) is \(A(x) = 1/2(-1/2x+5+5)(5) = -5/4x+25\text{.}\) The volume is \(187.5\) units\(^3\text{.}\)
7.3 The Shell Method
Exercises
Terms and Concepts
7.3.1.
7.3.3.
Problems
7.3.13.
\(\displaystyle 4\pi/5\)
\(\displaystyle 8\pi/15\)
\(\displaystyle \pi/2\)
\(\displaystyle 5\pi/6\)
7.3.15.
\(\displaystyle 4\pi/3\)
\(\displaystyle \pi/3\)
\(\displaystyle 4\pi/3\)
\(\displaystyle 2\pi/3\)
7.3.17.
\(\displaystyle 2\pi(\sqrt{2}-1)\)
\(\displaystyle 2\pi(1-\sqrt{2}+\sinh^{-1}(1))\)
7.4 Arc Length and Surface Area
7.4.3 Exercises
Terms and Concepts
7.4.3.1.
T
Problems
7.4.3.3.
\(\sqrt{2}\)
7.4.3.5.
\(4/3\)
7.4.3.7.
\(109/2\)
7.4.3.9.
\(12/5\)
7.4.3.11.
\(-\ln(2-\sqrt{3}) \approx 1.31696\)
7.4.3.13.
\(\int_0^1 \sqrt{1+4x^2}\, dx\)
7.4.3.15.
\(\int_0^1 \sqrt{1+\frac{1}{4x}}\, dx\)
7.4.3.17.
\(\int_{-1}^1 \sqrt{1+\frac{x^2}{1-x^2}}\, dx\)
7.4.3.19.
\(\int_{1}^2 \sqrt{1+\frac1{x^4}}\, dx\)
7.4.3.21.
\(1.4790\)
7.4.3.23.
Simpson’s Rule fails, as it requires one to divide by 0. However, recognize the answer should be the same as for \(y=x^2\text{;}\) why?
7.4.3.25.
Simpson’s Rule fails.
7.4.3.27.
\(1.4058\)
7.4.3.29.
\(2\pi\int_0^1 2x\sqrt{5}\, dx = 2\pi\sqrt{5}\)
7.4.3.31.
\(2\pi\int_0^1 x^3\sqrt{1+9x^4}\, dx = \pi/27(10\sqrt{10}-1)\)
7.4.3.33.
\(2\pi\int_0^1 \sqrt{1-x^2}\sqrt{1+x/(1-x^2)}\, dx = 4\pi\)
7.5 Work
7.5.4 Exercises
Terms and Concepts
7.5.4.1.
7.5.4.3.
Problems
7.6 Fluid Forces
Exercises
Terms and Concepts
7.6.1.
Problems
7.6.19.
8 Differential Equations
8.1 Graphical and Numerical Solutions to Differential Equations
8.1.4 Exercises
Terms and Concepts
8.1.4.1.
8.1.4.3.
8.1.4.5.
Problems
8.1.4.11.
8.1.4.29.
8.2 Separable Differential Equations
8.2.2 Exercises
Problems
8.3 First Order Linear Differential Equations
8.3.2 Exercises
Problems
8.3.2.21.
8.4 Modeling with Differential Equations
8.4.3 Exercises
Problems
9 Sequences and Series
9.1 Sequences
Exercises
Terms and Concepts
9.1.1.
9.1.3.
Problems
9.1.39.
Let \(\{a_n\}\) be given such that \(\lim\limits_{n\to\infty} \abs{a_n} = 0\text{.}\) By the definition of the limit of a sequence, given any \(\varepsilon \gt 0\text{,}\) there is a \(m\) such that for all \(n \gt m, \abs{\abs{a_n} - 0} \lt \varepsilon\text{.}\) Since \(\abs{\abs{a_n}-0} = \abs{a_n - 0}\text{,}\) this directly implies that for all \(n \gt m\text{,}\) \(\abs{a_n - 0} \lt \varepsilon\text{,}\) meaning that \(\lim\limits_{n\to\infty} a_n = 0\text{.}\)
9.1.41.
A sketch of one proof method:
Let any \(\epsilon>0\) be given. Since \(\{a_n\}\) and \(\{b_n\}\) converge, there exists an \(N>0\) such that for all \(n\geq N\text{,}\) both \(a_n\) and \(b_n\) are within \(\epsilon/2\) of \(L\text{;}\) we can conclude that they are at most \(\epsilon\) apart from each other. Since \(a_n\leq c_n \leq b_n\text{,}\) one can show that \(c_n\) is within \(\epsilon\) of \(L\text{,}\) showing that \(\{c_n\}\) also converges to \(L\text{.}\)
9.2 Infinite Series
9.2.4 Exercises
Terms and Concepts
9.2.4.1.
9.2.4.3.
One sequence is the sequence of terms \(\{a_\}\text{.}\) The other is the sequence of \(n\)th partial sums, \(\{S_n\} = \{\sum_{i=1}^n a_i\}\text{.}\)
9.2.4.5.
Problems
9.2.4.7.
\(\displaystyle -1,-\frac{1}{2},-\frac{5}{6},-\frac{7}{12},-\frac{47}{60}\)
Plot omitted
9.2.4.9.
\(\displaystyle -1,0,-1,0,-1\)
Plot omitted
9.2.4.11.
\(\displaystyle 1,\frac{3}{2},\frac{5}{3},\frac{41}{24},\frac{103}{60}\)
Plot omitted
9.2.4.13.
\(\displaystyle -0.9,-0.09,-0.819,-0.1629,-0.75339\)
Plot omitted
9.2.4.15.
9.2.4.17.
9.2.4.19.
9.2.4.21.
Converges; \(p\)-series with \(p=5\text{.}\)
9.2.4.23.
Diverges; geometric series with \(r=6/5\text{.}\)
9.2.4.25.
Diverges; fails \(n\)th term test.
9.2.4.27.
Diverges; although the series \(\ds\infser \frac{1}{n!}\) converges, \(\ds \infser \frac1n\) is the (divergent) harmonic series. We can only use the sum rule for series if both parts converge separately.
9.2.4.29.
Diverges; by Theorem 9.2.19 this is half the Harmonic Series, which diverges by growing without bound. “Half of growing without bound” is still growing without bound.
9.2.4.31.
\(\displaystyle S_n = \frac{1-(1/4)^n}{3/4}\)
Converges to \(4/3\text{.}\)
9.2.4.33.
\(\displaystyle S_n = \left(\frac{n(n+1)}{2}\right)^2\)
Diverges
9.2.4.35.
\(\displaystyle S_n = 5\frac{1-1/2^n}{1/2}\)
Converges to 10.
9.2.4.37.
\(\displaystyle S_n = \frac{1-(-1/3)^n}{4/3}\)
Converges to \(3/4\text{.}\)
9.2.4.39.
With partial fractions, \(a_n = \frac32\left(\frac1n-\frac1{n+2}\right)\text{.}\) Thus \(S_n = \frac32\left(\frac32-\frac1{n+1}-\frac1{n+2}\right)\text{.}\)
Converges to 9/4
9.2.4.41.
\(\displaystyle S_n = \ln\big(1/(n+1)\big)\)
Diverges (to \(-\infty\)).
9.2.4.43.
\(a_n = \frac1{n(n+3)}\text{;}\) using partial fractions, the resulting telescoping sum reduces to \(S_n = \frac13\left(1+\frac12+\frac13-\frac1{n+1}-\frac1{n+2}-\frac1{n+3}\right)\)
Converges to \(11/18\text{.}\)
9.2.4.45.
With partial fractions, \(a_n = \frac12\left(\frac1{n-1}-\frac1{n+1}\right)\text{.}\) Thus \(S_n = \frac12\left(3/2-\frac1n-\frac{1}{n+1}\right)\text{.}\)
Converges to 3/4.
9.2.4.47.
The \(n\)th partial sum of the odd series is \(1+\frac13+\frac15+\cdots+\frac{1}{2n-1}\text{.}\) The \(n\)th partial sum of the even series is \(\frac12+\frac14 + \frac16 + \cdots +\frac1{2n}\text{.}\) Each term of the even series is less than the corresponding term of the odd series, giving us our result.
The \(n\)th partial sum of the odd series is \(1+\frac13+\frac15+\cdots+\frac1{2n-1}\text{.}\) The \(n\)th partial sum of 1 plus the even series is \(1+\frac12+\frac14+\cdots + \frac{1}{2(n-1)}\text{.}\) Each term of the even series is now greater than or equal to the corresponding term of the odd series, with equality only on the first term. This gives us the result.
If the odd series converges, the work done in (a) shows the even series converges also. (The sequence of the \(n\)th partial sum of the even series is bounded and monotonically increasing.) Likewise, (b) shows that if the even series converges, the odd series will, too. Thus if either series converges, the other does. Similarly, (a) and (b) can be used to show that if either series diverges, the other does, too.
If both the even and odd series converge, then their sum would be a convergent series. This would imply that the Harmonic Series, their sum, is convergent. It is not. Hence each series diverges.
9.3 Integral and Comparison Tests
9.3.4 Exercises
Terms and Concepts
9.3.4.1.
9.3.4.3.
The Integral Test (we do not have a continuous definition of \(n!\) yet) and the Limit Comparison Test (same as above, hence we cannot take its derivative).
Problems
9.3.4.13.
Converges; compare to \(\ds \infser \frac{1}{n^2}\text{,}\) as \(1/(n^2+3n-5) \leq 1/n^2\) for all \(n \gt 1\text{.}\)
9.3.4.15.
Diverges; compare to \(\ds \infser \frac{1}{n}\text{,}\) as \(1/n \leq \ln(n) /n\) for all \(n\geq 3\text{.}\)
9.3.4.17.
Diverges; compare to \(\ds \infser \frac{1}{n}\text{.}\) Since \(n=\sqrt{n^2} \gt \sqrt{n^2-1}\text{,}\) \(1/n \leq 1/\sqrt{n^2-1}\) for all \(n\geq 2\text{.}\)
9.3.4.19.
Diverges; compare to \(\ds \infser \frac{1}{n}\text{:}\)
for all \(n\geq 1\text{.}\)
9.3.4.21.
Diverges; compare to \(\ds \infser \frac 1n\text{.}\) Note that
as \(\frac{n^2}{n^2-1} \gt 1\text{,}\) for all \(n\geq 2\text{.}\)
9.3.4.23.
Converges; compare to \(\ds \infser \frac 1{n^2}\text{.}\)
9.3.4.25.
Diverges; compare to \(\ds \infser \frac {\ln(n) }{n}\text{.}\)
9.3.4.27.
Diverges; compare to \(\ds \infser \frac {1}{n}\text{.}\)
9.3.4.29.
Diverges; compare to \(\ds \infser \frac {1}{n}\text{.}\) Just as \(\lim\limits_{n\to0}\frac{\sin(n) }{n} = 1\text{,}\) \(\lim\limits_{n\to\infty}\frac{\sin(1/n)}{1/n} = 1\text{.}\)
9.3.4.31.
Converges; compare to \(\ds \infser \frac {1}{n^{3/2}}\text{.}\)
9.3.4.33.
Converges; Integral Test
9.3.4.35.
Diverges; the \(n\)th Term Test and Direct Comparison Test can be used.
9.3.4.37.
Converges; the Direct Comparison Test can be used with sequence \(1/3^n\text{.}\)
9.3.4.39.
Diverges; the \(n\)th Term Test can be used, along with the Integral Test.
9.3.4.41.
9.3.4.41.a
Converges; use Direct Comparison Test as \(\frac{a_n}{n}\lt n\text{.}\)
9.3.4.41.b
Converges; since original series converges, we know \(\lim_{n\to\infty}a_n = 0\text{.}\) Thus for large \(n\text{,}\) \(a_na_{n+1} \lt a_n\text{.}\)
9.3.4.41.c
Converges; similar logic to so \((a_n)^2\lt a_n\text{.}\)
9.3.4.41.d
May converge; certainly \(na_n \gt a_n\) but that does not mean it does not converge.
9.3.4.41.e
9.4 Ratio and Root Tests
9.4.3 Exercises
Terms and Concepts
9.4.3.1.
9.4.3.3.
Problems
9.4.3.25.
Diverges; Limit Comparison Test with the harmonic series \(1/n\text{.}\)
9.4.3.27.
Converges; Ratio Test or Limit Comparison Test with \(1/3^n\text{.}\)
9.4.3.29.
Diverges; \(n\)th-Term Test or Limit Comparison Test with 1.
9.4.3.31.
Diverges; Direct Comparison Test with \(1/n\)
9.4.3.33.
Converges; Root Test
9.5 Alternating Series and Absolute Convergence
Exercises
Terms and Concepts
9.5.1.
The signs of the terms do not alternate; in the given series, some terms are negative and the others positive, but they do not necessarily alternate.
9.5.3.
Problems
9.5.5.
converges
converges (\(p\)-Series)
absolute
9.5.7.
diverges (limit of terms is not 0)
diverges
n/a; diverges
9.5.9.
converges
diverges (Limit Comparison Test with \(1/n\))
conditional
9.5.11.
diverges (limit of terms is not 0)
diverges
n/a; diverges
9.5.13.
diverges (terms oscillate between \(\pm 1\))
diverges
n/a; diverges
9.5.15.
converges
converges (Geometric Series with \(r=2/3\))
absolute
9.5.17.
converges
converges (Ratio Test)
absolute
9.5.19.
converges
diverges (\(p\)-Series Test with \(p=1/2\))
conditional
9.5.21.
\(S_5 = -1.1906\text{;}\) \(S_{6} = -0.6767\text{;}\)
\(\ds -1.1906 \leq \infser \frac{(-1)^n}{\ln(n+1)} \leq -0.6767\)
9.5.23.
\(S_6 = 0.3681\text{;}\) \(S_7 = 0.3679\text{;}\)
\(\ds 0.3681 \leq \infser[0] \frac{(-1)^{n}}{n!} \leq 0.3679\)
9.5.25.
\(n=5\)
9.5.27.
Using the theorem, we find \(n=499\) guarantees the sum is within \(0.001\) of \(\pi/4\text{.}\) (Convergence is actually faster, as the sum is within \(\varepsilon\) of \(\pi/24\) when \(n\geq 249\text{.}\))
9.6 Power Series
Exercises
Terms and Concepts
9.6.1.
We define \(x^0=1\) (even when \(x=0\)).
9.6.3.
It is still 5: the derivative of a power series has the same radius of convergence as the original power series.
Problems
9.6.5.
\(1+2x+4x^2+8x^3+16x^4\)
9.6.7.
\(1+x+\frac{x^2}{2}+\frac{x^3}{6}+\frac{x^4}{24}\)
9.6.9.
\(\displaystyle R=\infty\)
\(\displaystyle (-\infty,\infty)\)
9.6.11.
\(\displaystyle R=1\)
\(\displaystyle (2,4]\)
9.6.13.
\(\displaystyle R=2\)
\(\displaystyle (-2,2)\)
9.6.15.
\(\displaystyle R=1/5\)
\(\displaystyle (4/5,6/5)\)
9.6.17.
\(\displaystyle R=1\)
\(\displaystyle (-1,1)\)
9.6.19.
\(\displaystyle R=\infty\)
\(\displaystyle (-\infty,\infty)\)
9.6.21.
\(\displaystyle R=1\)
\(\displaystyle [-1,1]\)
9.6.23.
\(\displaystyle R=0\)
\(\displaystyle x=0\)
9.6.25.
\(\ds \fp(x) = \infser n^2x^{n-1}\text{;}\) \((-1,1)\)
\(\ds \int f(x)\, dx = C+\infser[0] \frac{n}{n+1}x^{n+1}\text{;}\) \((-1,1)\)
9.6.27.
\(\ds \fp(x) = \infser \frac{n}{2^n}x^{n-1}\text{;}\) \((-2,2)\)
\(\ds \int f(x)\, dx = C+\infser[0] \frac{1}{(n+1)2^n}x^{n+1}\text{;}\) \([-2,2)\)
9.6.29.
\(\ds \fp(x) = \infser \frac{(-1)^nx^{2n-1}}{(2n-1)!} =\infser[0] \frac{(-1)^{n+1}x^{2n+1}}{(2n+1)!}\text{;}\) \((-\infty,\infty)\)
\(\ds \int f(x)\, dx = C+\infser[0] \frac{(-1)^nx^{2n+1}}{(2n+1)!}\text{;}\) \((-\infty,\infty)\)
9.6.31.
\(1+3x+\frac92x^2+\frac92x^3+\frac{27}{8}x^4\)
9.6.33.
\(1+x+x^2+x^3+x^4\)
9.6.35.
\(0+x+0x^2-\frac16x^3+0x^4\)
9.7 Taylor Series
Exercises
Terms and Concepts
9.7.1.
A Taylor polynomial is a polynomial, containing a finite number of terms. A Taylor series is a series, the summation of an infinite number of terms.
Problems
9.7.3.
All derivatives of \(e^x\) are \(e^x\) which evaluate to 1 at \(x=0\text{.}\)
The Taylor series starts \(1+x+\frac12x^2+\frac{1}{3!}x^3+\frac{1}{4!}x^4+\cdots\text{;}\)
the Taylor series is \(\ds \infser[0] \frac{x^n}{n!}\)
9.7.5.
The \(n\)th derivative of \(1/(1-x)\) is \(f^{(n)}(x) = (n)!/(1-x)^{n+1}\text{,}\) which evaluates to \(n!\) at \(x=0\text{.}\)
The Taylor series starts \(1+x+x^2+x^3+\cdots\text{;}\)
the Taylor series is \(\ds \infser[0] x^n\)
9.7.7.
The Taylor series starts \(0-(x-\pi/2)+0x^2+\frac16(x-\pi/2)^3+0x^4-\frac1{120}(x-\pi/2)^5\text{;}\)
the Taylor series is \(\ds \infser[0] (-1)^{n+1}\frac{(x-\pi/2)^{2n+1}}{(2n+1)!}\)
9.7.9.
\(f^{(n)}(x) = (-1)^ne^{-x}\text{;}\) at \(x=0\text{,}\) \(f^{(n)}(0)=-1\) when \(n\) is odd and \(f^{(n)}(0)=1\) when \(n\) is even.
The Taylor series starts \(1-x+\frac12x^2-\frac1{3!}x^3+\cdots\text{;}\)
the Taylor series is \(\ds \infser[0] (-1)^n\frac{x^n}{n!}\text{.}\)
9.7.11.
\(f^{(n)}(x) = (-1)^{n+1}\frac{n!}{(x+1)^{n+1}}\text{;}\) at \(x=1\text{,}\) \(f^{(n)}(1)=(-1)^{n+1}\frac{n!}{2^{n+1}}\)
The Taylor series starts \(\frac12+\frac14(x-1)-\frac18(x-1)^2+\frac1{16}(x-1)^3\cdots\text{;}\)
the Taylor series is \(\ds \frac12+\infser (-1)^{n+1}\frac{(x-1)^n}{2^{n+1}}\text{.}\)
9.7.13.
Given a value \(x\text{,}\) the magnitude of the error term \(R_n(x)\) is bounded by
where \(z\) is between \(0\) and \(x\text{.}\)
If \(x \gt 0\text{,}\) then \(z\lt x\) and \(f^{(n+1)}(z) =e^z\lt e^x\text{.}\) If \(x\lt 0\text{,}\) then \(x\lt z\lt 0\) and \(f^{(n+1)}(z) =e^z\lt 1\text{.}\) So given a fixed \(x\) value, let \(M = \max\{e^x,1\}\text{;}\) \(f^{(n)}(z)\lt M\text{.}\) This allows us to state
For any \(x\text{,}\) \(\lim\limits_{n\to\infty} \frac{M}{(n+1)!}\abs{x^{(n+1)}}= 0\text{.}\) Thus by the Squeeze Theorem, we conclude that \(\lim\limits_{n\to\infty} R_n(x) = 0\) for all \(x\text{,}\) and hence
9.7.15.
Per the statement of the problem, we only consider the case \(1\lt x\lt 2\text{.}\)
If \(1\lt x\lt 2\text{,}\) then \(1\lt z\lt x\) and \(f^{(n+1)}(z) =\frac{n!}{z^{n+1}}\lt n!\text{.}\) Thus
Thus
hence
9.7.17.
Given \(\ds \cos(x) = \infser[0] (-1)^n\frac{x^{2n}}{(2n)!}\text{,}\)
\(\ds\cos(-x) = \infser[0] (-1)^n\frac{(-x)^{2n}}{(2n)!}=\infser[0] (-1)^n\frac{x^{2n}}{(2n)!}=\cos(x)\text{,}\) as all powers in the series are even.
9.7.19.
Given \(\ds \sin(x) = \infser[0] (-1)^n\frac{x^{2n+1}}{(2n+1)!}\text{,}\)
\(\ds\frac{d}{dx}\big(\sin(x) \big) = \frac{d}{dx}\left(\infser[0] (-1)^n\frac{x^{2n+1}}{(2n+1)!}\right)=\infser[0] (-1)^n\frac{(2n+1)x^{2n}}{(2n+1)!}=\infser[0] (-1)^n\frac{x^{2n}}{(2n)!}=\cos(x)\text{.}\) (The summation still starts at \(n=0\) as there was no constant term in the expansion of \(\sin(x)\)).
9.7.21.
\(\ds 1+\frac x2-\frac{x^2}{8}+\frac{x^3}{16}-\frac{5x^4}{128}\)
9.7.23.
\(\ds 1+\frac x3-\frac{x^2}{9}+\frac{5x^3}{81}-\frac{10x^4}{243}\)
9.7.25.
\(\ds \infser[0] (-1)^n\frac{(x^2)^{2n}}{(2n)!} = \infser[0] (-1)^n\frac{x^{4n}}{(2n)!}\text{.}\)
9.7.27.
\(\ds \infser[0] (-1)^n\frac{(2x+3)^{2n+1}}{(2n+1)!}\text{.}\)
9.7.29.
\(\ds x+x^2+\frac{x^3}{3}-\frac{x^5}{30}\)
9.7.31.
\(\ds \int_0^{\sqrt{\pi}} \sin\big(x^2\big)\, dx \approx \int_0^{\sqrt{\pi}} \left(x^2-\frac{x^6}6+\frac{x^{10}}{120}-\frac{x^{14}}{5040}\right) dx = 0.8877\)