Question

The factorial of a nonnegative integer \(n\) is written \(n !\) (pronounced " \(n\) factorial") and is defined as follows: \(n !=n \cdot(n 1) \cdot(n 2) \cdot \ldots \cdot 1 \text { (for values of } n \text { greater than to } 1)\) and \(n !=1\) (for \(n=0\) or \(n=1\) ). For example, \(5 !=5 \cdot 4 \cdot 3 \cdot 2 \cdot 1,\) which is \(120 .\) Use while statements in each of the following: a. Write a program that reads a nonnegative integer and computes and prints its factorial. b. Write a program that estimates the value of the mathematical constant \(e\) by using the formula: \(e=1+\frac{1}{1 !}+\frac{1}{2 !}+\frac{1}{3 !}+\dots\) Prompt the user for the desired accuracy of \(e\) (i.e., the number of terms in the summation). c. Write a program that computes the value of \(e^{x}\) by using the formula \\[ e^{x}=1+\frac{x}{1 !}+\frac{x^{2}}{2 !}+\frac{x^{3}}{3 !}+\ldots \\] Prompt the user for the desired accuracy of e (i.e., the number of terms in the summation).

Short answer

Calculate factorial with a loop; estimate `e` by summing reciprocals of factorials; compute `e^x` by summing series terms.

Step-by-step solution

Set Up Factorial Calculation

To calculate the factorial of a number, start by reading the non-negative integer input from the user. Initialize a variable `result` to 1, which will hold the final factorial value.

Compute Factorial Using While Loop

If the input number `n` is greater than 1, enter a while loop that continues as long as `n` is greater than 1. Multiply `result` by `n`, then decrement `n` by 1. This step repeatedly multiplies the decreasing values of `n` until `n` equals 1.

Display Factorial Result

Once the while loop ends, print the `result`, which now holds the factorial of the original input number.

Set Up Estimation of Euler's Number

Prompt the user for the number of terms to use in the estimation of the mathematical constant `e`. Initialize `e_estimate` to 1, representing the first term in the series.

Compute Factorial Series for Euler's Number

Using a while loop, compute each term of the series for `e` up to the specified number of terms. For each term, calculate the factorial using the method from Steps 1-3, then add its reciprocal to `e_estimate`.

Display Estimate of `e`

After all terms have been computed and added, print the `e_estimate`, which approximates the constant `e`.

Setup Estimation of Exponential Function

Begin by asking the user for the value of `x` to compute `e^x`, and the number of terms to include in the series. Initialize `e_power_x` to 1, representing the first term.

Compute Series for e^x

Use a while loop to calculate each term in the series for `e^x`, following a similar process to the estimation of `e`. For each term, compute the power of `x` and the factorial, then add \(\frac{x^{n}}{n!}\) to `e_power_x`.

Display Result

Finally, print the value of `e_power_x`, which is the approximation of `e^x` using the defined number of terms.

Key concepts

Exponential Function Estimation

Estimating the exponential function, particularly when dealing with expressions like \(e^x\), involves a series expansion. This method is particularly useful in programming and numerical calculations where exact values cannot be easily computed. The series for the exponential function \(e^x\) is given by:

• \(e^x = 1 + \frac{x}{1!} + \frac{x^2}{2!} + \frac{x^3}{3!} + \ldots\)

This is known as the Taylor series expansion for \(e^x\) around 0. Each term in the series consists of a power of \(x\) divided by the factorial of that term's index. The more terms you include, the more accurate the estimation.

In practice, you would choose the number of terms based on the desired accuracy. This is very helpful in computer programs, where calculating exact values might be computationally expensive or impossible. As more terms are added, the series provides a closer approximation to \(e^x\). However, even with a few terms, it often reaches satisfactory accuracy for many applications.

Euler's Number Approximation

Euler's number, often denoted as \(e\), is a fundamental constant in mathematics, approximately equal to 2.71828. Approximating \(e\) can be done using a simple infinite series. The series is:

• \(e = 1 + \frac{1}{1!} + \frac{1}{2!} + \frac{1}{3!} + \ldots\)

This series allows us to compute an estimate of \(e\) by summing a finite number of terms. The factorial in the denominator grows quickly, so each subsequent term becomes smaller, rapidly converging towards the true value of \(e\).

To implement this calculation in a computer program, you can use a loop to compute and sum the terms. You'll prompt the user to specify how many terms to include for the desired level of precision. As you increase the number of terms, the approximation of \(e\) becomes more accurate. This method is invaluable in situations where only an approximate value is needed or allowed, such as numerical models or simulations.

While Loop Programming

While loops are fundamental programming constructs used to repeat a block of code as long as a certain condition is true. They are particularly useful when the termination condition isn't strictly tied to a counter but rather involves more dynamic conditions or calculations.

For example, when calculating factorials or estimating series like those for \(e\) or \(e^x\), a while loop can continue multiplying or adding terms until a specific accuracy is achieved or the needed number of terms are processed. This makes them highly versatile in programming tasks that involve incremental calculations.

• A basic syntax for a while loop in many programming languages looks like this:

  while (condition) {    // Code to execute}

• The loop will execute repeatedly as long as the condition remains true.

In the context of estimating \(e\) or calculating the exponential function, while loops allow for efficient handling of calculations over iterative series. Because the number of iterations required can be determined by a condition rather than a fixed number, they offer flexibility and efficiency to programmers.