Catalan numbers The Catalan numbers \(C_{n}\) are a sequence of integers \(1,1,2,5,14,42,132 \ldots\) that play an important role in quantum mechanics and the theory of disordered systems. (They were central to Eugene Wigner's proof of the so- called semicircle law.) They are given by $$ C_{0}=1, \quad C_{n+1}=\frac{4 n+2}{n+2} C_{n} . $$ Write a program that prints in increasing order all Catalan numbers less than or equal to one billion.

Short Answer

Expert verified
The program computes Catalan numbers using the formula until the numbers exceed one billion and prints them.

Step by step solution

01

- Understand the given sequence and formula

Catalan numbers are given by the formula: \[ C_{0} = 1 \]\[ C_{n+1} = \frac{4n + 2}{n + 2} C_{n} \]Use this formula to iteratively compute the Catalan numbers starting from \(C_0 \).
02

- Set up initial conditions and loop

Initialize the first Catalan number, \(C_0\), to 1. Use a loop to generate subsequent Catalan numbers. Stop the loop if the next Catalan number exceeds one billion.
03

- Implement code logic

Write a program logic where we calculate each next Catalan number using the formula and store the results. Here is a sample Python code implementation:```pythoncatalan_numbers = []C_n = 1n = 0while C_n <= 1_000_000_000: catalan_numbers.append(C_n) C_n = (4*n + 2) * C_n // (n + 2) n += 1print(catalan_numbers)```This will print all Catalan numbers less than or equal to one billion.
04

- Verify results

Run the program and ensure the logic correctly prints the Catalan numbers in increasing order up to one billion. Double-check the calculations.

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Key Concepts

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

sequence of integers
The Catalan numbers are an interesting sequence of integers that appear in various fields of mathematics. This sequence starts with 1 and continues as 1, 2, 5, 14, 42, 132, and so forth. These numbers are important because they often appear in combinatorial mathematics, and are used in problems related to tree structures, lattice paths, and even in quantum mechanics. The sequence is defined using a recurrence relation given by:
\] C_{0} = 1 \ \ \[ C_{n+1} = \dfrac{4n + 2}{n + 2} C_{n} \ \
Here, the next Catalan number, \( C_{n+1} \), is derived from the current Catalan number, \( C_n \). To compute these numbers iteratively, we start with \( C_0 \) and use the formula to find each successive number in the sequence.
iterative computation
To find multiple Catalan numbers, we can use iterative computation. This means computing each number in the sequence step-by-step using a loop.
Start by setting the initial value: \( C_0 = 1 \). Then, use a loop to compute the next values based on the recurrence formula. This prevents errors that might occur in manual calculations and ensures that we can quickly generate a large number of Catalan numbers.
For instance, using the given formula:
\] C_{n+1} = \dfrac{4n + 2}{n + 2} C_{n} \ \[
We compute each new number by substituting the current value of \( n \). Note that we adjust the index by incrementing \( n \) with each step of the loop, ensuring we generate the next number in the sequence. This process is repeated until the next number exceeds one billion, as specified in the problem.
programming logic
To implement the solution programmatically, we need clear programming logic. Here's a structured approach:
  • Initialize variables to store the first Catalan number, \( C_0 \), and a list to hold all computed Catalan numbers.
  • Set up a loop to continuously compute new Catalan numbers.
  • Use the given formula to calculate each subsequent number.
  • Check if the next number exceeds one billion; if it does, stop the loop.
  • Print out the computed values.
Here’s an example implementation in Python:
```python catalan_numbers = [] C_n = 1 n = 0 while C_n <= 1_000_000_000: catalan_numbers.append(C_n) C_n = (4*n + 2) * C_n // (n + 2) n += 1 print(catalan_numbers) ```
In this code, we initialize \( C_n \) to 1 and \( n \) to 0. We then enter a loop, adding each new Catalan number to our list and calculating the next using integer division to avoid floating-point inaccuracies. This basic structure ensures that we compute and display all Catalan numbers less than or equal to one billion.

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Most popular questions from this chapter

Another ball dropped from a tower A ball is again dropped from a tower of height \(h\) with initial velocity zero. Write a program that asks the user to enter the height in meters of the tower and then calculates and prints the time the ball takes until it hits the ground, ignoring air resistance. Use your program to calculate the time for a ball dropped from a \(100 \mathrm{~m}\) high tower.

Prime numbers The program in Example \(2.8\) is not a very efficient way of calculating prime numbers: it checks each number to see if it is divisible by any number less than it. We can develop a much faster program for prime numbers by making use of the following observations: a) A number \(n\) is prime if it has no prime factors less than \(n\). Hence we only need to check if it is divisible by other primes. b) If a number \(n\) is non-prime, having a factor \(r\), then \(n=r s\), where \(s\) is also a factor. If \(r \geq \sqrt{n}\) then \(n=r s \geq \sqrt{n} s\), which implies that \(s \leq \sqrt{n}\). In other words, any non-prime must have factors, and hence also prime factors, less than or equal to \(\sqrt{n}\). Thus to determine if a number is prime we have to check its prime factors only up to and including \(\sqrt{n}\)-if there are none then the number is prime. c) If we find even a single prime factor less than \(\sqrt{n}\) then we know that the number is non-prime, and hence there is no need to check any further- we can abandon this number and move on to something else. Write a Python program that finds all the primes up to ten thousand. Create a list to store the primes, which starts out with just the one prime number 2 in it. Then for each number \(n\) from 3 to 10000 check whether the number is divisible by any of the primes in the list up to and including \(\sqrt{n}\). As soon as you find a single prime factor you can stop checking the rest of them- you know \(n\) is not a prime. If you find no prime factors \(\sqrt{n}\) or less then \(n\) is prime and you should add it to the list. You can print out the list all in one go at the end of the program, or you can print out the individual numbers as you find them.

The semi-empirical mass formula In nuclear physics, the semi-empirical mass formula is a formula for calculating the approximate nuclear binding energy \(B\) of an atomic nucleus with atomic number \(Z\) and mass number \(A\) : $$ B=a_{1} A-a_{2} A^{2 / 3}-a_{3} \frac{Z^{2}}{A^{1 / 3}}-a_{4} \frac{(A-2 Z)^{2}}{A}+\frac{a_{5}}{A^{1 / 2}} $$ where, in units of millions of electron volts, the constants are \(a_{1}=15.8, a_{2}=18.3\), \(a_{3}=0.714, a_{4}=23.2\), and $$ a_{5}= \begin{cases}0 & \text { if } A \text { is odd, } \\ 12.0 & \text { if } A \text { and } Z \text { are both even, } \\ -12.0 & \text { if } A \text { is even and } Z \text { is odd. }\end{cases} $$ a) Write a program that takes as its input the values of \(A\) and \(Z\), and prints out the binding energy for the corresponding atom. Use your program to find the binding energy of an atom with \(A=58\) and \(Z=28\). (Hint: The correct answer is around \(500 \mathrm{MeV}\) ) b) Modify your program to print out not the total binding energy B, but the binding energy per nucleon, which is \(B / A\). c) Now modify your program so that it takes as input just a single value of the atomic number \(Z\) and then goes through all values of \(A\) from \(A=Z\) to \(A=3 Z\), to find the one that has the largest binding energy per nucleon. This is the most stable nucleus with the given atomic number. Have your program print out the value of \(A\) for this most stable nucleus and the value of the binding energy per nucleon d) Modify your program again so that, instead of taking \(Z\) as input, it runs through all values of \(Z\) from 1 to 100 and prints out the most stable value of \(A\) for each one. At what value of \(Z\) does the maximum binding energy per nucleon occur? (The true answer, in real life, is \(Z=28\), which is nickel.)

Quantum potential step A well-known quantum mechanics problem involves a particle of mass \(m\) that encounters a one-dimensional potential step, like this: The particle with initial kinetic energy \(E\) and wavevector \(k_{1}=\sqrt{2 m E} / \hbar\) enters from the left and encounters a sudden jump in potential energy of height \(V\) at position \(x=0\). By solving the Schrödinger equation, one can show that when \(E>V\) the particle may either (a) pass the step, in which case it has a lower kinetic energy of \(E-V\) on the other side and a correspondingly smaller wavevector of \(k_{2}=\sqrt{2 m(E-V)} / \hbar\), or \((b)\) it may be reflected, keeping all of its kinetic energy and an unchanged wavevector but moving in the opposite direction. The probabilities \(T\) and \(R\) for transmission and reflection are given by $$ T=\frac{4 k_{1} k_{2}}{\left(k_{1}+k_{2}\right)^{2}}, \quad R=\left(\frac{k_{1}-k_{2}}{k_{1}+k_{2}}\right)^{2} . $$ Suppose we have a particle with mass equal to the electron mass \(m=9.11 \times\) \(10^{-31} \mathrm{~kg}\) and energy \(10 \mathrm{eV}\) encountering a potential step of height \(9 \mathrm{eV}\). Write a Python program to compute and print out the transmission and reflection probabilities using the formulas above.

Binomial coefficients The binomial coefficient \(\left(\begin{array}{l}n \\ k\end{array}\right)\) is an integer equal to $$ \left(\begin{array}{l} n \\ k \end{array}\right)=\frac{n !}{k !(n-k) !}=\frac{n \times(n-1) \times(n-2) \times \ldots \times(n-k+1)}{1 \times 2 \times \ldots \times k} $$ when \(k \geq 1\), or \(\left(\begin{array}{l}n \\ 0\end{array}\right)=1\) when \(k=0\). a) Using this form for the binomial coefficient, write a Python user-defined function binomial \((\mathrm{n}, \mathrm{k})\) that calculates the binomial coefficient for given \(n\) and \(k\). Make sure your function returns the answer in the form of an integer (not a float) and gives the correct value of 1 for the case where \(k=0\). b) Using your function write a program to print out the first 20 lines of "Pascal's triangle." The \(n\)th line of Pascal's triangle contains \(n+1\) numbers, which are the coefficients \(\left(\begin{array}{l}n \\\ 0\end{array}\right),\left(\begin{array}{l}n \\ 1\end{array}\right)\), and so on up to \(\left(\begin{array}{l}n \\ n\end{array}\right)\). Thus the first few lines are $$ \begin{aligned} &11 \\ &121 \\ &1331 \\ &14641 \end{aligned} $$ c) The probability that an unbiased coin, tossed \(n\) times, will come up heads \(k\) times is \(\left(\begin{array}{l}n \\ k\end{array}\right) / 2^{n}\). Write a program to calculate (a) the total probability that a coin tossed 100 times comes up heads exactly 60 times, and (b) the probability that it comes up heads 60 or more times.

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