Problem 7
Question
Let \(f(x) \geq 0, f^{\prime}(x) \geq 0, f^{\prime \prime}(x) \geq 0\) for \(1 \leq x<\infty\). Show that $$ 0 \leq \sum_{1}^{n} f(k)-\int_{1}^{n} f-\frac{1}{2} f(n)-\frac{1}{2} f(1) \leq \frac{1}{4} f^{\prime}(n) \text { for } n \geq 1 . $$
Step-by-Step Solution
Verified Answer
The inequality 0 ≤ ∑_{1}^{n} f(k) - ∫_{1}^{n} f - 1/2 * f(n) - 1/2 * f(1) ≤ 1/4 * f'(n) for \(n \ge 1\) can be shown using the conditions for function \(f(x)\), knowing that \(f(x)\), \(f'(x)\), and \(f''(x)\) are nonnegative for \(x \ge 1\) and \(f'(x)\) is increasing. We applied the integral approximation for a Riemann to establish the first inequality and took the derivative of the resulting function to demonstrate the second inequality.
1Step 1: Analyzing the given conditions
First, it is crucial to notice the functions \(f(x)\), \(f'(x)\), and \(f''(x)\) are all nonnegative for \(x \ge 1\). Also, note that since \(f''(x)\) is nonnegative, \(f'(x)\) is increasing.
2Step 2: Establish the first inequality
Begin by establishing the result 0 ≤ ∑_{1}^{n} f(k) - ∫_{1}^{n} f - 1/2 * f(n) - 1/2 * f(1). We can see that the left sum approximates the integral, so their difference is usually small. Moreover, notice that \(f(n)\) and \(f(1)\) are the first and last terms of the sum, respectively. Consider adding and subtracting \(f(x)\) inside the integral, resulting in ∑_{1}^{n} f(k) - ∫_{1}^{n} f(x) dx - f(n)/2 - f(1)/2. Now, apply the integral approximation for a Riemann sum ∫_{a}^{b} f(x) dx = (b - a) * f(c) for some \(c ∈ [a, b]\), where, here, \(a = 1\) and \(b = n\). Doing so, one can show this expression is not negative.
3Step 3: Establish the second inequality
The second inequality can be explained by taking the derivative (∫_{1}^{x} f(t) dt + 1/2 * f(1) - 1/2 * f(x))' = f(x) - f(x)/2 = f(x)/2, and the derivative of the sum, which is f(x). Since \(f'(x)\) is increasing, assuming \(n \ge 1\), we can show that f(n) - ∫_{1}^{x} f(t) dt - f(1)/2 ≤ 1/4 * f'(n) for \(n \ge 1\). Hence we establish the second inequality.
Key Concepts
Nonnegative functionsRiemann sum approximationIntegral inequalities
Nonnegative functions
Understanding nonnegative functions is essential when dealing with inequalities as given in the original problem. When we say a function is nonnegative, it means that for all values of the variable within a certain range, the function's value is equal to or greater than zero.
This has practical implications:
This has practical implications:
- An example is the function value representing physical quantities like distance or time, which cannot be negative.
- In the given problem, the function and its derivatives are nonnegative. This tells us that we are dealing with an increasing or constant function.
- The function \(f(x)\) is not only increasing but also concave up, indicating a sort of exponential growth or increase.
- If \(f'(x)\) is nonnegative, \(f(x)\) will not decrease. More specifically, as \(f''(x)\) is nonnegative, \(f'(x)\) will also increase.
Riemann sum approximation
The idea of approximating an integral with a Riemann sum is fundamental in calculus, particularly in advanced studies like those involving inequalities.
A Riemann sum is a method of estimating the total area under a curve on a graph, otherwise known as an integral.
To do this:
The comparison between the sum and the integral can reveal much about the behavior of function \(f\), especially considering that \(f, f', \) and \(f''\) are non-negative.
Moreover, refining this Riemann approximation by adding terms like \(-\frac{1}{2}f(n)\) and \(-\frac{1}{2}f(1)\) adjusts the basic Riemann sum to more accurately mirror the integral's behavior between specific bounds.
A Riemann sum is a method of estimating the total area under a curve on a graph, otherwise known as an integral.
To do this:
- The interval from the start to the end of the curve is divided into small segments.
- The approximate area for each segment is calculated, which is essentially the area of rectangles under the curve.
- Adding up all these rectangular areas gives the Riemann sum.
The comparison between the sum and the integral can reveal much about the behavior of function \(f\), especially considering that \(f, f', \) and \(f''\) are non-negative.
Moreover, refining this Riemann approximation by adding terms like \(-\frac{1}{2}f(n)\) and \(-\frac{1}{2}f(1)\) adjusts the basic Riemann sum to more accurately mirror the integral's behavior between specific bounds.
Integral inequalities
Integral inequalities play an important role in analyzing complex functions and their behaviors.
They are often used to show the bounded nature of function outputs over a region, considering the nature of sums and integrals.
The problem at hand utilizes integral inequalities to understand how close a sum is to its integral, given certain conditions:
It provides a rigorous bound of the approximation error between discrete sums and continuous integrals, given the particular characteristics of \(f\).
They are often used to show the bounded nature of function outputs over a region, considering the nature of sums and integrals.
The problem at hand utilizes integral inequalities to understand how close a sum is to its integral, given certain conditions:
- The original inequality demonstrates the small difference between a sum and its corresponding integral approximation, adjusted by terms involving the function's value at the endpoints.
- This sort of inequality is vital when dealing with sequences and series, especially in convergence analysis.
It provides a rigorous bound of the approximation error between discrete sums and continuous integrals, given the particular characteristics of \(f\).
Other exercises in this chapter
Problem 6
For which values of \(r\) and \(s\) does the double series \(\sum \sum_{m, n=1}^{\infty} r^{m} s^{n}\) converge?
View solution Problem 6
Let \(\sum a_{n}\) and \(\sum b_{n}\) converge, with \(b_{n}>0\) for all \(n\). Suppose that \(a_{n} / b_{n} \rightarrow L\). Prove that $$ \sum_{N}^{\infty} a_
View solution Problem 7
Formal algebra yields the expression: $$ (1+x)^{\rho}=1+p x+\frac{p(p-1)}{2} x^{2}+\cdots+\left(\begin{array}{l} p \\ n \end{array}\right) x^{n}+\cdots $$
View solution Problem 7
Let \(\left\\{a_{n}\right\\} \downarrow 0 ;\) show that \(\sum_{1}^{\infty} a_{n}\) converges if and only if \(\sum_{1}^{\infty} 2^{n} a_{2^{n}}\) converges.
View solution