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Show that if \(f: \mathbb{R} \rightarrow \mathbb{R}\) is a periodic function that is integrable on every closed interval \([a, b] \subset \mathbb{R}\), then the function $$ F(x)=\int_{a}^{x} f(t) \mathrm{d} t $$ can be represented as the sum of a linear function and a periodic function.

Short Answer

Expert verified
Question: Show that if \(f: \mathbb{R} \rightarrow \mathbb{R}\) is a periodic function that is integrable on every closed interval \([a, b] \subset \mathbb{R}\), then the function \(F(x) = \int_{a}^{x} f(t) \mathrm{d} t\) can be represented as the sum of a linear function and a periodic function. Answer: If \(f\) is a periodic and integrable function, then the function \(F(x) = \int_{a}^{x} f(t) \mathrm{d} t\) can be represented as the sum of a linear function \(\frac{I}{p}(x-a)\) and a periodic function \(H(x)\), where \(I\) is the integral of \(f(t)\) over one period and \(p\) is the period of the function \(f\).

Step by step solution

01

Antiderivative of a periodic function

Since \(f\) is a periodic function, there exists some \(p > 0\) such that \(f(x + p) = f(x)\) for all \(x \in \mathbb{R}\). Let's find the integral of \(f(t)\) over one period: $$ I = \int_{0}^{p} f(t) \mathrm{d} t $$ Now, differentiate \(F(x)\) with respect to \(x\): $$ F'(x) = \frac{d}{dx}\int_{a}^{x} f(t) \mathrm{d} t = f(x) $$ Let's consider the function \(G(x) = F(x + p) - F(x)\). Its derivative is: $$ G'(x) = F'(x + p) - F'(x) = f(x + p) - f(x) $$ Since \(f\) is periodic with period \(p\), \(f(x + p) = f(x)\). Therefore, \(G'(x) = 0\). This implies that \(G(x)\) is a constant function, say \(G(x) = C\). Then, we have: $$ F(x + p) - F(x) = C \quad \Rightarrow \quad F(x + p) = F(x) + C $$
02

Represent F(x) as the sum of a linear and a periodic function

Integrate both sides of the equation \(F(x + p) = F(x) + C\) with respect to \(x\): $$ \int_{a}^{x+p} f(t) \mathrm{d} t = \int_{a}^{x} f(t) \mathrm{d} t + C(x-a) \quad \Rightarrow \quad \int_{x}^{x+p} f(t) \mathrm{d} t = C(x-a) $$ By the Fundamental Theorem of Calculus, we have \(\int_{x}^{x+p} f(t) \mathrm{d} t = F(x+p) - F(x)\): $$ F(x+p) - F(x) = C(x-a) $$ Replace \(I = \int_{0}^{p} f(t) \mathrm{d} t\): $$ F(x+p) - F(x) = \frac{I}{p}(x-a) $$ Now, define a new function \(H(x) = F(x) - \frac{I}{p}(x-a)\). Then \(H(x)\) has period \(p\), since: $$ H(x+p) = F(x+p) - \frac{I}{p}(x+p-a) = F(x) + \frac{I}{p}(x-a) - \frac{I}{p}(x+p-a) = H(x) $$ Thus, we can represent \(F(x)\) as the sum of a linear function and a periodic function: $$ F(x) = \frac{I}{p}(x-a) + H(x) $$ We have shown that if \(f: \mathbb{R} \rightarrow \mathbb{R}\) is a periodic function that is integrable on every closed interval \([a, b] \subset \mathbb{R}\), then the function \(F(x) = \int_{a}^{x} f(t) \mathrm{d} t\) can be represented as the sum of a linear function (\(\frac{I}{p}(x-a)\)) and a periodic function (\(H(x)\)).

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Key Concepts

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

Integrable Function
An integrable function is a function for which the integral can be computed in a finite value over a given interval. In simple terms, this means that the area under the curve of the function on that interval is well-defined and finite. For students dealing with periodic functions, understanding integrability is crucial. Periodic functions, like sine or cosine, repeat their patterns, but to analyze their behavior mathematically, being integrable ensures that we are working with functions that have meaningful averages over their periods.
One way to determine if a periodic function is integrable is to check if it is also continuous or piecewise continuous. Most common periodic functions that we deal with in mathematical problems usually meet these criteria, making them integrable over any interval.
  • Continuous: If there are no breaks, jumps, or infinite spikes in the function.
  • Piecewise Continuous: If the function may have a finite number of discontinuities but is otherwise continuous.
Understanding and confirming integrability is a foundational step for solving complex calculus problems, especially when dealing with periodic patterns.
Fundamental Theorem of Calculus
The Fundamental Theorem of Calculus is one of the most important theorems in calculus as it links the concept of the derivative of a function with the concept of an integral. It consists of two parts:

The first part of the theorem allows us to evaluate definitite integrals, essentially stating that if a function is continuous over an interval, then its integral over that interval can be computed from its antiderivative evaluated at the boundary points. Mathematically, it states:
  • If F is an antiderivative of f on [a, b], then:
  • \[ \int_{a}^{b} f(t) \, dt = F(b) - F(a) \]
The second part states that the derivative of the integral of a function is the function itself. In the context of our problem, where we integrate a periodic function, the theorem explains how the integral behaves and evolves, underpinning how we achieve the transformation into a sum of a linear and a periodic function.
Antiderivative
The term antiderivative refers to a function whose derivative is the original function. In simpler terms, if you take the derivative of the antiderivative, you return to the original function. The antiderivative is crucial in reverse engineering the process of differentiation to find original functions from their rates of change.
For example, if you have a function like \( f(x) = 2x \), an antiderivative of this function would be \( F(x) = x^2 + C \), where C is a constant. In problems involving periodic functions, finding an antiderivative helps in constructing a function, like \( F(x) \), that gives you the accumulation of change.

In our exercise, finding \( F(x) \) allows us to split it into a linear and periodic part. This reflects the decomposition of the function, showing that products of integration and differentiation can uncover fundamental characteristics of cyclical behaviors.
Linear Function
A linear function is a function that represents a straight line in algebraic terms, mathematically typically written in the form \( y = mx + c \), where m is the slope of the line and c the y-intercept. Linear functions exhibit a constant rate of change, meaning they add or subtract the same amount with each step along the x-axis.
Linear functions are straightforward and predictable, which is why they occur regularly in mathematical modeling and real-world applications.

In the exercise, we found that the periodic integral function \( F(x) \) could be expressed as a sum of a linear function and a periodic function. The linear function here displays how over each period, there is a constant, steady increase (or decrease) behavior superimposed on the recurring periodic pattern.
  • The linear part, \( \frac{I}{p}(x-a) \), represents the average increase over the period.
  • This balances the periodic oscillations, reflecting the long-term trend across multiple periods.
Understanding linear functions within this context gives a snapshot of how integrals of periodic functions pursue linearity over long stretches even with cyclical variation embedded.

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Most popular questions from this chapter

a) Verify that for \(x>1\) and \(n \in \mathbb{N}\) the function $$ P_{n}(x)=\frac{1}{\pi} \int_{0}^{\pi}\left(x+\sqrt{x^{2}-1} \cos \varphi\right)^{n} \mathrm{~d} \varphi $$ is a polynomial of degree \(n\) (the \(n\)th Legendre polynomial). b) Show that $$ P_{n}(x)=\frac{1}{\pi} \int_{0}^{\pi} \frac{\mathrm{d} \psi}{\left(x-\sqrt{x^{2}-1} \cos \psi\right)^{n}} $$

Show that a) the integrals \(\int_{1}^{+\infty} \frac{\sin x}{x^{\alpha}} \mathrm{d} x, \int_{1}^{+\infty} \frac{\cos x}{x^{\alpha}} \mathrm{d} x\) converge only for \(\alpha>0\), and absolutely only for \(\alpha>1\); b) the Fresnel integrals $$ C(x)=\frac{1}{\sqrt{2}} \int_{0}^{\sqrt{x}} \cos t^{2} \mathrm{~d} t, \quad S(x)=\frac{1}{\sqrt{2}} \int_{0}^{\sqrt{x}} \sin t^{2} \mathrm{~d} t $$ are infinitely differentiable functions on the interval \(] 0,+\infty[\), and both have a limit as \(x \rightarrow+\infty\).

Based on the result of Example 10, compute the velocity a body must have in order to escape from the gravitational field of the Earth (the escape velocity for the Earth).

Show that if \(f \in C(\mathbb{R})\), then for any fixed closed interval \([a, b]\), given \(\varepsilon>0\) one can choose \(\delta>0\) so that the inequality \(\left|F_{\delta}(x)-f(x)\right|<\varepsilon\) holds on \([a, b]\), where \(F_{\delta}\) is the average of the function studied in Example \(6 .\)

Show that if \(f \in C[a, b], f(x) \geq 0\) on \([a, b]\), and \(M=\max _{[a, b]} f(x)\), then $$ \lim _{n \rightarrow \infty}\left(\int_{a}^{b} f^{n}(x) \mathrm{d} x\right)^{1 / n}=M $$

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