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Use the Taylor series for \(\sinh x\) and \(\cosh x\) to verify that \(\frac{d}{d x} \sinh x=\cosh x\)

Short Answer

Expert verified
Question: Verify that the derivative of \(\sinh x\) with respect to x is equal to \(\cosh x\) using their Taylor series. Answer: After differentiating the Taylor series for \(\sinh x\) with respect to x, we obtained the Taylor series for \(\cosh x\), verifying that \(\frac{d}{dx}\sinh x = \cosh x\).

Step by step solution

01

Write the Taylor series for \(\sinh x\) and \(\cosh x\)

Recall that the Taylor series of a function \(f(x)\) around the point \(a\) is given by: $$f(x) = \sum_{n=0}^\infty \frac{f^{(n)}(a)}{n!}(x-a)^n,$$ where \(f^{(n)}(a)\) denotes the \(n\)-th derivative of the function at the point \(a\). The Taylor series of \(\sinh x\) and \(\cosh x\) around \(0\) are: $$\sinh x = \sum_{n=0}^\infty \frac{(-1)^n}{(2n+1)!}x^{2n+1},$$ $$\cosh x = \sum_{n=0}^\infty \frac{(-1)^n}{(2n)!}x^{2n}.$$
02

Differentiate the Taylor series for \(\sinh x\) with respect to \(x\)

To differentiate the Taylor series of \(\sinh x\), we need to apply the rules of differentiation term by term: $$\frac{d}{dx}\sinh x = \frac{d}{dx}\sum_{n=0}^\infty \frac{(-1)^n}{(2n+1)!}x^{2n+1} = \sum_{n=0}^\infty \frac{(-1)^n}{(2n+1)!}\frac{d}{dx}x^{2n+1}.$$ Using the power rule of differentiation, we get: $$\frac{d}{dx}x^{2n+1} = (2n+1)x^{2n}.$$ Thus, the derivative of the Taylor series for \(\sinh x\) with respect to \(x\) is: $$\frac{d}{dx}\sinh x = \sum_{n=0}^\infty \frac{(-1)^n}{(2n)!}x^{2n}.$$
03

Compare the derivative of the Taylor series for \(\sinh x\) with the Taylor series for \(\cosh x\)

Now, we've found that the derivative of the Taylor series for \(\sinh x\) is: $$\frac{d}{dx}\sinh x = \sum_{n=0}^\infty \frac{(-1)^n}{(2n)!}x^{2n}.$$ Comparing this with the Taylor series for \(\cosh x\), which is: $$\cosh x = \sum_{n=0}^\infty \frac{(-1)^n}{(2n)!}x^{2n},$$ we can see that both series are identical. Therefore, we have verified that: $$\frac{d}{dx}\sinh x = \cosh x.$$

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Key Concepts

These are the key concepts you need to understand to accurately answer the question.

Hyperbolic Functions
Hyperbolic functions are analogues to the traditional trigonometric functions, but unlike their circular counterparts, they are defined through the relationships of a hyperbola rather than a circle. The two most fundamental hyperbolic functions are the hyperbolic sine and cosine, denoted as \(\sinh x\) and \(\cosh x\), respectively.

They can be defined using exponential functions as follows: \(\sinh x = \frac{e^x - e^{-x}}{2}\) and \(\cosh x = \frac{e^x + e^{-x}}{2}\). Interestingly, hyperbolic functions share many properties with their trigonometric counterparts, such as addition formulas and derivatives that are related to each other. These functions frequently appear in both theoretical and applied mathematics, particularly in relation to calculus and differential equations.
Series Expansion
A series expansion allows us to express functions as a sum of infinitely many terms. These terms are usually derived from the function's derivatives at a single point, giving us insight into the function's behavior around that point. The most familiar type of series expansion might be the Taylor series, which can represent an infinite variety of functions as long as they are sufficiently smooth (meaning they can be differentiated repeatedly).

The power of the Taylor series lies in its ability to approximate functions with polynomials. The more terms we include in the series, the closer our approximation will be to the actual function. For example, \(e^x\) and trigonometric functions can all be expressed in terms of their Taylor series expansions.
Derivative of Hyperbolic Sine
When it comes to derivatives of hyperbolic functions, a remarkable pattern imitates the relationship between sine and cosine in trigonometry. The derivative of the hyperbolic sine function \(\sinh x\) is intriguingly simple: it is the hyperbolic cosine function \(\cosh x\).

Mathematically, this relationship can be expressed as \(\frac{d}{dx}\sinh x = \cosh x\). Understanding the derivative of \(\sinh x\) is crucial in solving differential equations and in various applications involving hyperbolic functions, such as in the description of hanging cables or suspension bridges, known in physics as the catenary problem.
Power Rule of Differentiation
The power rule of differentiation is a fundamental technique used in calculus to derive the rate of change of functions involving powers of the variable. For a function \(f(x) = x^n\), where \(n\) is any real number, the power rule states that its derivative with respect to \(x\) is \(f'(x) = nx^{n-1}\).

This rule greatly simplifies the differentiation process, especially when dealing with polynomials or Taylor series. For example, in the Taylor series of hyperbolic functions, applying the power rule term by term allows us to differentiate the entire series and find the corresponding series of the derivative function.

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Most popular questions from this chapter

Representing functions by power series Identify the functions represented by the following power series. $$\sum_{k=0}^{\infty} \frac{(-1)^{k} x^{k+1}}{4^{k}}$$

Explain why or why not Determine whether the following statements are true and give an explanation or counterexample. a. The function \(f(x)=\sqrt{x}\) has a Taylor series centered at \(0 .\) b. The function \(f(x)=\) cse \(x\) has a Taylor series centered at \(\pi / 2\) c. If \(f\) has a Taylor series that converges only on \((-2,2),\) then \(f\left(x^{2}\right)\) has a Taylor series that also converges only on (-2,2) d. If \(p(x)\) is the Taylor series for \(f\) centered at \(0,\) then \(p(x-1)\) is the Taylor series for \(f\) centered at \(1 .\) e. The Taylor series for an even function centered at 0 has only even powers of \(x\).

Representing functions by power series Identify the functions represented by the following power series. $$\sum_{k=2}^{\infty} \frac{k(k-1) x^{k}}{3^{k}}$$

Approximating square roots Let \(p_{1}\) and \(q_{1}\) be the first-order Taylor polynomials for \(f(x)=\sqrt{x},\) centered at 36 and \(49,\) respectively. a. Find \(p_{1}\) and \(q_{1}\). b. Complete the following table showing the errors when using \(p_{1}\) and \(q_{1}\) to approximate \(f(x)\) at \(x=37,39,41,43,45,\) and 47 Use a calculator to obtain an exact value of \(f(x)\). $$\begin{array}{|c|c|c|} \hline x & \left|\sqrt{x}-p_{1}(x)\right| & \left|\sqrt{x}-q_{1}(x)\right| \\ \hline 37 & & \\ \hline 39 & & \\ \hline 41 & & \\ \hline 43 & & \\ \hline 45 & & \\ \hline 47 & & \\ \hline \end{array}$$ c. At which points in the table is \(p_{1}\) a better approximation to \(f\) than \(q_{1}\) ? Explain this result.

Small argument approximations Consider the following common approximations when \(x\) is near zero. a. Estimate \(f(0.1)\) and give a bound on the error in the approximation. b. Estimate \(f(0.2)\) and give a bound on the error in the approximation. $$f(x)=\sin ^{-1} x=x$$

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