Problem 21
Question
The nth Fibonacci number \(F_{n}\) is given by the sum of the numbers along the \(n\) h northeast diagonal of Pascal's triangle; that is, $$ F_{n}=\sum_{i=0}^{\lfloor(n-1) / 2\rfloor}\left(\begin{array}{c}{n-i-1} \\\ {i}\end{array}\right) $$ Using this formula, compute each Fibonacci number. $$ F_{2} $$
Step-by-Step Solution
Verified Answer
Using the given formula for the nth Fibonacci number, we have F_2 calculated as follows:
1. The upper limit of summation: \(\lfloor (2-1)/2 \rfloor = \lfloor 1/2 \rfloor = 0\)
2. The diagonal numbers in Pascal's Triangle are selected by the formula itself.
3. Computing the only term in the summation (for i=0 and n=2): \(\left(\begin{array}{c}{2-0-1} \\ {0}\end{array}\right) = \left(\begin{array}{c}{1} \\ {0}\end{array}\right) = 1\)
4. Adding the terms to find F_2: \(F_{2} = 1\)
Thus, the second Fibonacci number, F_2, is 1.
1Step 1: Calculate the upper limit of the summation
Substitute n=2 in the formula and calculate the upper limit of summation:
$$
\lfloor (2-1)/2 \rfloor = \lfloor 1/2 \rfloor = 0
$$
2Step 2: List the numbers along the diagonal on Pascal's Triangle
As the formula already selects the members of the diagonal of Pascal's Triangle, we do not have to list them separately.
3Step 3: Compute each term of the summation
Since the upper limit of the summation is 0, there is only one term in the summation. We can compute the term by substituting i=0 and n=2 in the formula:
$$
\left(\begin{array}{c}{2-0-1} \\ {0}\end{array}\right) = \left(\begin{array}{c}{1} \\ {0}\end{array}\right) = 1
$$
4Step 4: Add the terms to find the Fibonacci number F_2
There is only one term in the summation, so the sum is simply equal to the term:
$$
F_{2} = 1
$$
Thus, the second Fibonacci number, F_2, is 1.
Key Concepts
Pascal's triangleDiscrete mathematicsBinomial coefficients
Pascal's triangle
Pascal's triangle is a triangular array of numbers where each number is the sum of the two numbers directly above it from the previous row. Starting with a single number at the top, the triangle expands outward with each new row. For instance, the first few rows of Pascal's triangle are:
1
1 1
1 2 1
1 3 3 1
1 4 6 4 1
This mathematical tool is widely used in combinatorics, which is an area of discrete mathematics concerned with counting, both as a result and in finding probabilities. When looking at the diagonals of Pascal's triangle, particularly the northeast diagonals, a pattern emerges that is directly connected to the Fibonacci numbers. Each Fibonacci number can be found by adding up the numbers along these diagonals, providing a beautiful and unexpected link between two seemingly unrelated areas of mathematics.
1
1 1
1 2 1
1 3 3 1
1 4 6 4 1
This mathematical tool is widely used in combinatorics, which is an area of discrete mathematics concerned with counting, both as a result and in finding probabilities. When looking at the diagonals of Pascal's triangle, particularly the northeast diagonals, a pattern emerges that is directly connected to the Fibonacci numbers. Each Fibonacci number can be found by adding up the numbers along these diagonals, providing a beautiful and unexpected link between two seemingly unrelated areas of mathematics.
Discrete mathematics
Discrete mathematics is a branch of mathematics that deals with discrete elements that are distinct and separate values. This field covers a wide array of topics including logic, set theory, combinatorics, graph theory, and algorithms.
In the context of the Fibonacci numbers and Pascal's triangle, combinatorics plays a significant role. Discrete mathematics often involves counting methods and proof techniques that are crucial in understanding the underlying structures like those found in Pascal's triangle. These concepts can be applied to solve a variety of real-world problems, including computer science applications, which often rely on combinatorial logic and discrete structures.
In the context of the Fibonacci numbers and Pascal's triangle, combinatorics plays a significant role. Discrete mathematics often involves counting methods and proof techniques that are crucial in understanding the underlying structures like those found in Pascal's triangle. These concepts can be applied to solve a variety of real-world problems, including computer science applications, which often rely on combinatorial logic and discrete structures.
Binomial coefficients
Binomial coefficients are numerical coefficients that arise commonly in binomial expansions and have a deep connection with combinatorics. They are represented as \( \binom{n}{k} \), where 'n' and 'k' are non-negative integers and this expression is known as ‘n choose k’. Binomial coefficients can be found in Pascal’s triangle as the numbers in the triangle itself. Specifically, the nth row and kth entry in Pascal's triangle corresponds to the binomial coefficient \( \binom{n}{k} \).
These coefficients are integral in calculating permutations and combinations, which are fundamental concepts in probability and various counting problems. Binomial coefficients have an important property: \( \binom{n}{k} = \binom{n}{n-k} \), reflecting the symmetry of Pascal's triangle along its vertical axis. Understanding binomial coefficients is crucial for grasping the relationship between Pascal’s triangle and Fibonacci numbers, as the Fibonacci sequence can also be expressed in terms of binomial coefficients, further emphasizing the interconnectedness of these mathematical concepts.
These coefficients are integral in calculating permutations and combinations, which are fundamental concepts in probability and various counting problems. Binomial coefficients have an important property: \( \binom{n}{k} = \binom{n}{n-k} \), reflecting the symmetry of Pascal's triangle along its vertical axis. Understanding binomial coefficients is crucial for grasping the relationship between Pascal’s triangle and Fibonacci numbers, as the Fibonacci sequence can also be expressed in terms of binomial coefficients, further emphasizing the interconnectedness of these mathematical concepts.
Other exercises in this chapter
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