问题

You are supposed to provide a solution to a given problem.

Problem:
Is the Fourier transform of the signal $x_1(t)=\left\{\begin{array}{cc}\sin \omega_0 t, & -\frac{2 \pi}{\omega_0} \leq t \leq \frac{2 \pi}{\omega_0} \\ 0, & \text { otherwise }\end{array}\right.$ imaginary?
Solution:

答案

模型 模型答案 正确答案
金声玉亮2.0 To find the Fourier transform of the given signal \( x_1(t) \), we will use the definition of the continuous-time Fourier transform:

\[
X_1(\omega) = \int_{-\infty}^{\infty} x_1(t) e^{-j\omega t} \, dt
\]

Since \( x_1(t) \) is non-zero only in the interval \(\left[-\frac{2\pi}{\omega_0}, \frac{2\pi}{\omega_0}\right]\), we can rewrite the integral as:

\[
X_1(\omega) = \int_{-\frac{2\pi}{\omega_0}}^{\frac{2\pi}{\omega_0}} \sin(\omega_0 t) e^{-j\omega t} \, dt
\]

Using Euler's formula, \(\sin(\omega_0 t) = \frac{e^{j\omega_0 t} - e^{-j\omega_0 t}}{2j}\), we can rewrite the integral as:

\[
X_1(\omega) = \frac{1}{2j} \int_{-\frac{2\pi}{\omega_0}}^{\frac{2\pi}{\omega_0}} (e^{j\omega_0 t} - e^{-j\omega_0 t}) e^{-j\omega t} \, dt
\]

\[
X_1(\omega) = \frac{1}{2j} \left[\int_{-\frac{2\pi}{\omega_0}}^{\frac{2\pi}{\omega_0}} e^{j(\omega_0-\omega) t} \, dt - \int_{-\frac{2\pi}{\omega_0}}^{\frac{2\pi}{\omega_0}} e^{-j(\omega_0+\omega) t} \, dt\right]
\]

Now, we can solve the integrals:

\[
X_1(\omega) = \frac{1}{2j} \left[\left.\frac{e^{j(\omega_0-\omega) t}}{j(\omega_0-\omega)}\right|_{-\frac{2\pi}{\omega_0}}^{\frac{2\pi}{\omega_0}} - \left.\frac{e^{-j(\omega_0+\omega) t}}{-j(\omega_0+\omega)}\right|_{-\frac{2\pi}{\omega_0}}^{\frac{2\pi}{\omega_0}}\right]
\]

\[
X_1(\omega) = \frac{1}{2j} \left[\frac{e^{j(\omega_0-\omega) \frac{2\pi}{\omega_0}} - e^{-j(\omega_0-\omega) \frac{2\pi}{\omega_0}}}{j(\omega_0-\omega)} - \frac{e^{-j(\omega_0+\omega) \frac{2\pi}{\omega_0}} - e^{j(\omega_0+\omega) \frac{2\pi}{\omega_0}}}{-j(\omega_0+\omega)}\right]
\]

\[
X_1(\omega) = \frac{1}{2j} \left[\frac{2j\sin\left((\omega_0-\omega) \frac{2\pi}{\omega_0}\right)}{j(\omega_0-\omega)} + \frac{2j\sin\left((\omega_0+\omega) \frac{2\pi}{\omega_0}\right)}{j(\omega_0+\omega)}\right]
\]

\[
X_1(\omega) = \frac{\sin\left((\omega_0-\omega) \frac{2\pi}{\omega_0}\right)}{\omega_0-\omega} + \frac{\sin\left((\omega_0+\omega) \frac{2\pi}{\omega_0}\right)}{\omega_0+\omega}
\]

Notice that the result is a real function of \(\omega\), because the imaginary part of \(X_1(\omega)\) cancels out. Therefore, the Fourier transform of the signal \(x_1(t)\) is not imaginary. It is a real function of \(\omega\).
True
deepseekr1

To determine if the Fourier transform of the signal \( x_1(t) \) is purely imaginary, we start by noting that \( x_1(t) \) is a truncated sine wave defined as:

\[
x_1(t) = \begin{cases}
\sin \omega_0 t, & -\frac{2\pi}{\omega_0} \leq t \leq \frac{2\pi}{\omega_0} \\
0, & \text{otherwise}
\end{cases}
\]

The Fourier transform \( X(\omega) \) of \( x_1(t) \) is given by:

\[
X(\omega) = \int_{-\infty}^{\infty} x_1(t) e^{-j\omega t} \, dt
\]

Since \( x_1(t) \) is non-zero only within \([-2\pi/\omega_0, 2\pi/\omega_0]\), the integral simplifies to:

\[
X(\omega) = \int_{-2\pi/\omega_0}^{2\pi/\omega_0} \sin(\omega_0 t) e^{-j\omega t} \, dt
\]

Using Euler's formula, \( \sin(\omega_0 t) = \frac{e^{j\omega_0 t} - e^{-j\omega_0 t}}{2j} \), we substitute this into the integral:

\[
X(\omega) = \frac{1}{2j} \int_{-2\pi/\omega_0}^{2\pi/\omega_0} \left( e^{j(\omega_0 - \omega)t} - e^{-j(\omega_0 + \omega)t} \right) \, dt
\]

Splitting the integral into two parts:

\[
X(\omega) = \frac{1}{2j} \left( \int_{-2\pi/\omega_0}^{2\pi/\omega_0} e^{j(\omega_0 - \omega)t} \, dt - \int_{-2\pi/\omega_0}^{2\pi/\omega_0} e^{-j(\omega_0 + \omega)t} \, dt \right)
\]

Each integral can be evaluated as:

\[
\int_{-a}^{a} e^{jkt} \, dt = \frac{2 \sin(ka)}{k}
\]

Applying this to our integrals, we get:

\[
\int_{-2\pi/\omega_0}^{2\pi/\omega_0} e^{j(\omega_0 - \omega)t} \, dt = \frac{2 \sin(2\pi(1 - \omega/\omega_0))}{\omega_0 - \omega}
\]

\[
\int_{-2\pi/\omega_0}^{2\pi/\omega_0} e^{-j(\omega_0 + \omega)t} \, dt = \frac{2 \sin(2\pi(1 + \omega/\omega_0))}{\omega_0 + \omega}
\]

Substituting back, we have:

\[
X(\omega) = \frac{1}{2j} \left( \frac{2 \sin(2\pi(1 - \omega/\omega_0))}{\omega_0 - \omega} - \frac{2 \sin(2\pi(1 + \omega/\omega_0))}{\omega_0 + \omega} \right)
\]

Simplifying, we factor out the 2 and multiply by \( \frac{1}{2j} \):

\[
X(\omega) = \frac{1}{j} \left( \frac{\sin(2\pi(1 - \omega/\omega_0))}{\omega_0 - \omega} - \frac{\sin(2\pi(1 + \omega/\omega_0))}{\omega_0 + \omega} \right)
\]

Since \( \frac{1}{j} = -j \), this becomes:

\[
X(\omega) = -j \left( \frac{\sin(2\pi(1 - \omega/\omega_0))}{\omega_0 - \omega} - \frac{\sin(2\pi(1 + \omega/\omega_0))}{\omega_0 + \omega} \right)
\]

The expression inside the parentheses is real, so multiplying by \( -j \) results in a purely imaginary function. Additionally, \( x_1(t) \) is a real and odd function, as \( x_1(-t) = -x_1(t) \). The Fourier transform of a real and odd function is purely imaginary.

Thus, the Fourier transform of \( x_1(t) \) is indeed purely imaginary.

\[
\boxed{Yes}
\]
True
gpto1 **Answer:**

Yes, the Fourier transform of the given signal \( x_1(t) \) is purely imaginary.

---

**Detailed Solution:**

We are given the signal:
\[ x_1(t) = \begin{cases} \sin(\omega_0 t), & -\dfrac{2\pi}{\omega_0} \leq t \leq \dfrac{2\pi}{\omega_0} \\ 0, & \text{otherwise} \end{cases} \]

We are to determine whether the Fourier transform \( X_1(\omega) \) of \( x_1(t) \) is imaginary.

**Step 1: Compute the Fourier Transform**

The Fourier transform of \( x_1(t) \) is:
\[ X_1(\omega) = \int_{-\infty}^{\infty} x_1(t) e^{-j\omega t} dt \]
Due to the definition of \( x_1(t) \), the integral simplifies to:
\[ X_1(\omega) = \int_{-T}^{T} \sin(\omega_0 t) e^{-j\omega t} dt \]
where \( T = \dfrac{2\pi}{\omega_0} \).

**Step 2: Express the Sine Function Using Exponentials**

Using Euler's formula:
\[ \sin(\omega_0 t) = \dfrac{e^{j\omega_0 t} - e^{-j\omega_0 t}}{2j} \]
Substituting this into the integral:
\[ X_1(\omega) = \dfrac{1}{2j} \int_{-T}^{T} [e^{j\omega_0 t} - e^{-j\omega_0 t}] e^{-j\omega t} dt \]
\[ X_1(\omega) = \dfrac{1}{2j} \int_{-T}^{T} [e^{j(\omega_0 - \omega)t} - e^{-j(\omega_0 + \omega)t}] dt \]

**Step 3: Evaluate the Integrals**

Compute the integrals separately:
\[ I_1 = \int_{-T}^{T} e^{j(\omega_0 - \omega)t} dt = \left[ \dfrac{e^{j(\omega_0 - \omega)t}}{j(\omega_0 - \omega)} \right]_{-T}^{T} \]
\[ I_2 = \int_{-T}^{T} e^{-j(\omega_0 + \omega)t} dt = \left[ \dfrac{e^{-j(\omega_0 + \omega)t}}{-j(\omega_0 + \omega)} \right]_{-T}^{T} \]

Compute \( I_1 \) and \( I_2 \):
\[ I_1 = \dfrac{1}{j(\omega_0 - \omega)} [e^{j(\omega_0 - \omega)T} - e^{-j(\omega_0 - \omega)T}] \]
\[ I_2 = \dfrac{1}{-j(\omega_0 + \omega)} [e^{-j(\omega_0 + \omega)T} - e^{j(\omega_0 + \omega)T}] \]

**Step 4: Simplify the Exponential Terms**

Recognize that:
\[ e^{j\theta} - e^{-j\theta} = 2j \sin(\theta) \]
\[ e^{-j\theta} - e^{j\theta} = -2j \sin(\theta) \]

Applying to \( I_1 \) and \( I_2 \):
\[ I_1 = \dfrac{2j \sin[(\omega_0 - \omega)T]}{j(\omega_0 - \omega)} = \dfrac{2 \sin[(\omega_0 - \omega)T]}{\omega_0 - \omega} \]
\[ I_2 = \dfrac{-2j \sin[(\omega_0 + \omega)T]}{-j(\omega_0 + \omega)} = \dfrac{2 \sin[(\omega_0 + \omega)T]}{\omega_0 + \omega} \]

**Step 5: Substitute Back into the Fourier Transform**

\[ X_1(\omega) = \dfrac{1}{2j}\left( I_1 - I_2 \right) \]
\[ X_1(\omega) = \dfrac{1}{2j} \left( \dfrac{2 \sin[(\omega_0 - \omega)T]}{\omega_0 - \omega} - \dfrac{2 \sin[(\omega_0 + \omega)T]}{\omega_0 + \omega} \right) \]
\[ X_1(\omega) = \dfrac{1}{j} \left( \dfrac{ \sin[(\omega_0 - \omega)T]}{\omega_0 - \omega} - \dfrac{ \sin[(\omega_0 + \omega)T]}{\omega_0 + \omega} \right) \]

**Step 6: Simplify Using Trigonometric Identities**

Using the periodicity of the sine function:
\[ \sin[(\omega_0 - \omega)T] = \sin\left(2\pi - \dfrac{2\pi \omega}{\omega_0}\right) = -\sin\left(\dfrac{2\pi \omega}{\omega_0}\right) \]
\[ \sin[(\omega_0 + \omega)T] = \sin\left(2\pi + \dfrac{2\pi \omega}{\omega_0}\right) = \sin\left(\dfrac{2\pi \omega}{\omega_0}\right) \]

Substitute back:
\[ X_1(\omega) = \dfrac{1}{j} \left( \dfrac{-\sin\left(\dfrac{2\pi \omega}{\omega_0}\right)}{\omega_0 - \omega} - \dfrac{ \sin\left(\dfrac{2\pi \omega}{\omega_0}\right)}{\omega_0 + \omega} \right) \]
\[ X_1(\omega) = -\dfrac{1}{j} \left( \sin\left(\dfrac{2\pi \omega}{\omega_0}\right) \left( \dfrac{1}{\omega_0 - \omega} + \dfrac{1}{\omega_0 + \omega} \right) \right) \]

Simplify the sum:
\[ \dfrac{1}{\omega_0 - \omega} + \dfrac{1}{\omega_0 + \omega} = \dfrac{2\omega_0}{\omega_0^2 - \omega^2} \]

Therefore:
\[ X_1(\omega) = -\dfrac{1}{j} \left( \sin\left(\dfrac{2\pi \omega}{\omega_0}\right) \dfrac{2\omega_0}{\omega_0^2 - \omega^2} \right) \]

**Step 7: Simplify the Expression**

Note that:
\[ -\dfrac{1}{j} = j \]
So we have:
\[ X_1(\omega) = j \cdot \dfrac{2\omega_0 \sin\left(\dfrac{2\pi \omega}{\omega_0}\right)}{\omega_0^2 - \omega^2} \]

**Conclusion:**

The Fourier transform \( X_1(\omega) \) is purely imaginary since it is a real function multiplied by \( j \). There is no real part in \( X_1(\omega) \).

---

**Therefore, the Fourier transform of the given signal is imaginary.**
True
GPT-4o To determine if the Fourier transform of the given signal \( x_1(t) \) is imaginary, we need to perform the Fourier transform and analyze the resulting expression. The signal \( x_1(t) \) is defined as:

\[ x_1(t) = \begin{cases}
\sin(\omega_0 t), & -\frac{2 \pi}{\omega_0} \leq t \leq \frac{2 \pi}{\omega_0} \\
0, & \text { otherwise }
\end{cases} \]

The Fourier transform of a time-domain signal \( x(t) \) is given by:

\[ X(f) = \int_{-\infty}^{\infty} x(t) e^{-j 2 \pi f t} \, dt \]

For the given signal \( x_1(t) \), this becomes:

\[ X_1(f) = \int_{-\frac{2 \pi}{\omega_0}}^{\frac{2 \pi}{\omega_0}} \sin(\omega_0 t) e^{-j 2 \pi f t} \, dt \]

We can solve this integral by using the identity for the sine function in terms of exponentials:

\[ \sin(\omega_0 t) = \frac{e^{j \omega_0 t} - e^{-j \omega_0 t}}{2j} \]

Thus, the integral becomes:

\[ X_1(f) = \int_{-\frac{2 \pi}{\omega_0}}^{\frac{2 \pi}{\omega_0}} \frac{e^{j \omega_0 t} - e^{-j \omega_0 t}}{2j} e^{-j 2 \pi f t} \, dt \]

This can be split into two integrals:

\[ X_1(f) = \frac{1}{2j} \left( \int_{-\frac{2 \pi}{\omega_0}}^{\frac{2 \pi}{\omega_0}} e^{j (\omega_0 - 2 \pi f) t} \, dt - \int_{-\frac{2 \pi}{\omega_0}}^{\frac{2 \pi}{\omega_0}} e^{-j (\omega_0 + 2 \pi f) t} \, dt \right) \]

Let's solve each integral separately.

For the first integral:

\[ \int_{-\frac{2 \pi}{\omega_0}}^{\frac{2 \pi}{\omega_0}} e^{j (\omega_0 - 2 \pi f) t} \, dt \]

If \(\omega_0 \neq 2 \pi f\):

\[ \int_{-\frac{2 \pi}{\omega_0}}^{\frac{2 \pi}{\omega_0}} e^{j (\omega_0 - 2 \pi f) t} \, dt = \left. \frac{e^{j (\omega_0 - 2 \pi f) t}}{j (\omega_0 - 2 \pi f)} \right|_{-\frac{2 \pi}{\omega_0}}^{\frac{2 \pi}{\omega_0}} \]

\[ = \frac{1}{j (\omega_0 - 2 \pi f)} \left( e^{j (\omega_0 - 2 \pi f) \frac{2 \pi}{\omega_0}} - e^{-j (\omega_0 - 2 \pi f) \frac{2 \pi}{\omega_0}} \right) \]

\[ = \frac{1}{j (\omega_0 - 2 \pi f)} \left( e^{j 2\pi \frac{\omega_0 - 2 \pi f}{\omega_0}} - e^{-j 2\pi \frac{\omega_0 - 2 \pi f}{\omega_0}} \right) \]

\[ = \frac{1}{j (\omega_0 - 2 \pi f)} \left( e^{j 2\pi \left(1 - \frac{2 \pi f}{\omega_0}\right)} - e^{-j 2\pi \left(1 - \frac{2 \pi f}{\omega_0}\right)} \right) \]

\[ = \frac{1}{j (\omega_0 - 2 \pi f)} \left( \cos\left(2\pi \left(1 - \frac{2 \pi f}{\omega_0}\right)\right) + j \sin\left(2\pi \left(1 - \frac{2 \pi f}{\omega_0}\right)\right
True
llama3.1-70B-Instruct

The Fourier transform of the signal $x_1(t)$ is given by
$$X_1(\omega)=\int_{-\infty}^{\infty} x_1(t) e^{-j \omega t} d t$$
Since $x_1(t)$ is a real-valued signal, we can write
$$X_1(\omega)=\int_{-\infty}^{\infty} x_1(t) \cos (\omega t) d t-j \int_{-\infty}^{\infty} x_1(t) \sin (\omega t) d t$$
The first integral is the Fourier cosine transform of $x_1(t)$, and the second integral is the Fourier sine transform of $x_1(t)$.
Since $x_1(t)$ is an odd function, its Fourier cosine transform is zero. Therefore, we have
$$X_1(\omega)=-j \int_{-\infty}^{\infty} x_1(t) \sin (\omega t) d t$$
which is purely imaginary.
Therefore, the Fourier transform of the signal $x_1(t)$ is imaginary.
True
llama3.1-405B-Instruct

## Step 1: Understand the given signal
The signal $x_1(t)$ is defined as $\sin \omega_0 t$ for $-\frac{2 \pi}{\omega_0} \leq t \leq \frac{2 \pi}{\omega_0}$ and 0 otherwise.

## Step 2: Recall the Fourier transform of a sine function
The Fourier transform of a sine function is purely imaginary.

## Step 3: Determine the nature of the Fourier transform of $x_1(t)$
Since the signal $x_1(t)$ is a sine function within the defined interval and 0 outside, its Fourier transform will also be purely imaginary.

The final answer is: $\boxed{1}$
True
DeepSeek-Coder-V2 To determine if the Fourier transform of the signal \( x_1(t) \) is imaginary, we need to compute its Fourier transform and analyze the result.

The signal \( x_1(t) \) is given by:
\[ x_1(t) = \begin{cases}
\sin \omega_0 t, & -\frac{2 \pi}{\omega_0} \leq t \leq \frac{2 \pi}{\omega_0} \\
0, & \text{otherwise}
\end{cases} \]

The Fourier transform \( X_1(\omega) \) of \( x_1(t) \) is defined as:
\[ X_1(\omega) = \int_{-\infty}^{\infty} x_1(t) e^{-j \omega t} \, dt \]

Since \( x_1(t) \) is non-zero only in the interval \( -\frac{2 \pi}{\omega_0} \leq t \leq \frac{2 \pi}{\omega_0} \), we can restrict the integral to this interval:
\[ X_1(\omega) = \int_{-\frac{2 \pi}{\omega_0}}^{\frac{2 \pi}{\omega_0}} \sin(\omega_0 t) e^{-j \omega t} \, dt \]

To solve this integral, we use the fact that:
\[ \sin(\omega_0 t) = \frac{e^{j \omega_0 t} - e^{-j \omega_0 t}}{2j} \]

Substituting this into the integral, we get:
\[ X_1(\omega) = \int_{-\frac{2 \pi}{\omega_0}}^{\frac{2 \pi}{\omega_0}} \left( \frac{e^{j \omega_0 t} - e^{-j \omega_0 t}}{2j} \right) e^{-j \omega t} \, dt \]

This can be split into two integrals:
\[ X_1(\omega) = \frac{1}{2j} \left( \int_{-\frac{2 \pi}{\omega_0}}^{\frac{2 \pi}{\omega_0}} e^{j \omega_0 t} e^{-j \omega t} \, dt - \int_{-\frac{2 \pi}{\omega_0}}^{\frac{2 \pi}{\omega_0}} e^{-j \omega_0 t} e^{-j \omega t} \, dt \right) \]

Simplifying the exponents, we get:
\[ X_1(\omega) = \frac{1}{2j} \left( \int_{-\frac{2 \pi}{\omega_0}}^{\frac{2 \pi}{\omega_0}} e^{j (\omega_0 - \omega) t} \, dt - \int_{-\frac{2 \pi}{\omega_0}}^{\frac{2 \pi}{\omega_0}} e^{-j (\omega_0 + \omega) t} \, dt \right) \]

These integrals are of the form:
\[ \int e^{j \alpha t} \, dt \]

For \( \alpha \neq 0 \), the integral evaluates to:
\[ \int_{-\frac{2 \pi}{\omega_0}}^{\frac{2 \pi}{\omega_0}} e^{j \alpha t} \, dt = \frac{e^{j \alpha t}}{j \alpha} \bigg|_{-\frac{2 \pi}{\omega_0}}^{\frac{2 \pi}{\omega_0}} = \frac{e^{j \alpha \frac{2 \pi}{\omega_0}} - e^{-j \alpha \frac{2 \pi}{\omega_0}}}{j \alpha} \]

Thus, we have:
\[ X_1(\omega) = \frac{1}{2j} \left( \frac{e^{j (\omega_0 - \omega) \frac{2 \pi}{\omega_0}} - e^{-j (\omega_0 - \omega) \frac{2 \pi}{\omega_0}}}{j (\omega_0 - \omega)} - \frac{e^{-j (\omega_0 + \omega) \frac{2 \pi}{\omega_0}} - e^{j (\omega_0 + \omega) \frac{2 \pi}{\omega_0}}}{j (\omega_0 + \omega)} \right) \]

Simplifying further, we get:
\[ X_1(\omega) = \frac{1}{2j} \left( \frac{2j \sin\left( (\omega_0 - \omega) \frac{2 \pi}{\omega_0} \right)}{\omega_0 - \omega} - \frac{2j \sin\left( (\omega_0 + \omega) \frac{2 \pi}{\omega_0} \right)}{\omega_0 + \omega} \right) \]

\[ X_1(\omega) = \frac{1}{2j} \cdot 2j \left( \frac{\sin\left( (\omega_0 - \omega) \frac{2 \pi}{\omega_0} \right)}{\omega_0 - \omega} - \frac{\sin\left( (\omega_0 + \omega) \frac{2 \pi}{\omega_0} \right)}{\omega_0 + \omega} \right) \]

\[ X_1(\omega) = \frac{\sin\left( (\omega_0 - \omega) \frac{2 \pi}{\omega_0} \right)}{\omega_0 - \omega} - \frac{\sin\left( (\omega_0 + \omega) \frac{2 \pi}{\omega_0} \right)}{\omega_0 + \omega} \]

This result is purely imaginary because it is a difference of two terms, each of which is purely imaginary. Therefore, the Fourier transform \( X_1(\omega) \) of the signal \( x_1(t) \) is indeed imaginary.
True
Qwen2-72B-Instruct To find the Fourier transform of the given signal $x_1(t)$, we will use the definition of the continuous-time Fourier transform:

\[
X_1(\omega) = \int_{-\infty}^{\infty} x_1(t) e^{-j\omega t} \, dt
\]

Since $x_1(t)$ is non-zero only in the interval $\left[-\frac{2\pi}{\omega_0}, \frac{2\pi}{\omega_0}\right]$, we can rewrite the integral as:

\[
X_1(\omega) = \int_{-\frac{2\pi}{\omega_0}}^{\frac{2\pi}{\omega_0}} \sin(\omega_0 t) e^{-j\omega t} \, dt
\]

Using Euler's formula, $\sin(\omega_0 t) = \frac{e^{j\omega_0 t} - e^{-j\omega_0 t}}{2j}$, we can rewrite the integral as:

\[
X_1(\omega) = \frac{1}{2j} \int_{-\frac{2\pi}{\omega_0}}^{\frac{2\pi}{\omega_0}} (e^{j\omega_0 t} - e^{-j\omega_0 t}) e^{-j\omega t} \, dt
\]

\[
X_1(\omega) = \frac{1}{2j} \left[\int_{-\frac{2\pi}{\omega_0}}^{\frac{2\pi}{\omega_0}} e^{j(\omega_0-\omega) t} \, dt - \int_{-\frac{2\pi}{\omega_0}}^{\frac{2\pi}{\omega_0}} e^{-j(\omega_0+\omega) t} \, dt\right]
\]

Now, we can solve the integrals:

\[
X_1(\omega) = \frac{1}{2j} \left[\left.\frac{e^{j(\omega_0-\omega) t}}{j(\omega_0-\omega)}\right|_{-\frac{2\pi}{\omega_0}}^{\frac{2\pi}{\omega_0}} - \left.\frac{e^{-j(\omega_0+\omega) t}}{-j(\omega_0+\omega)}\right|_{-\frac{2\pi}{\omega_0}}^{\frac{2\pi}{\omega_0}}\right]
\]

\[
X_1(\omega) = \frac{1}{2j} \left[\frac{e^{j(\omega_0-\omega) \frac{2\pi}{\omega_0}} - e^{-j(\omega_0-\omega) \frac{2\pi}{\omega_0}}}{j(\omega_0-\omega)} - \frac{e^{-j(\omega_0+\omega) \frac{2\pi}{\omega_0}} - e^{j(\omega_0+\omega) \frac{2\pi}{\omega_0}}}{-j(\omega_0+\omega)}\right]
\]

\[
X_1(\omega) = \frac{1}{2j} \left[\frac{2j\sin\left((\omega_0-\omega) \frac{2\pi}{\omega_0}\right)}{j(\omega_0-\omega)} + \frac{2j\sin\left((\omega_0+\omega) \frac{2\pi}{\omega_0}\right)}{j(\omega_0+\omega)}\right]
\]

\[
X_1(\omega) = \frac{\sin\left((\omega_0-\omega) \frac{2\pi}{\omega_0}\right)}{\omega_0-\omega} + \frac{\sin\left((\omega_0+\omega) \frac{2\pi}{\omega_0}\right)}{\omega_0+\omega}
\]

Notice that the result is a real function of $\omega$, because the imaginary part of $X_1(\omega)$ cancels out. Therefore, the Fourier transform of the signal $x_1(t)$ is not imaginary. It is a real function of $\omega$.
True
baichuan4 To determine whether the Fourier transform of the signal $x_1(t)$ is imaginary, we need to calculate the Fourier transform and examine its real and imaginary parts.

The Fourier transform of a signal $x(t)$ is defined as:
$$X(\omega) = \int_{-\infty}^{\infty} x(t) e^{-j\omega t} dt$$

For the given signal $x_1(t)$, we have:
$$x_1(t)=\left\{\begin{array}{cc}\sin \omega_0 t, & -\frac{2 \pi}{\omega_0} \leq t \leq \frac{2 \pi}{\omega_0} \\ 0, & \text { otherwise }\end{array}\right.$$

We can calculate the Fourier transform $X_1(\omega)$ as follows:
$$X_1(\omega) = \int_{-2\pi/\omega_0}^{2\pi/\omega_0} \sin(\omega_0 t) e^{-j\omega t} dt$$

Using the Euler's formula $e^{-j\omega t} = \cos(\omega t) - j\sin(\omega t)$, we get:
$$X_1(\omega) = \int_{-2\pi/\omega_0}^{2\pi/\omega_0} \sin(\omega_0 t) (\cos(\omega t) - j\sin(\omega t)) dt$$

This integral can be split into two parts:
$$X_1(\omega) = \int_{-2\pi/\omega_0}^{2\pi/\omega_0} \sin(\omega_0 t) \cos(\omega t) dt - j \int_{-2\pi/\omega_0}^{2\pi/\omega_0} \sin(\omega_0 t) \sin(\omega t) dt$$

Let's evaluate these integrals separately.

For the first integral, we use the trigonometric identity $\sin A \cos B = \frac{1}{2}[\sin(A+B) + \sin(A-B)]$:
$$\int_{-2\pi/\omega_0}^{2\pi/\omega_0} \sin(\omega_0 t) \cos(\omega t) dt = \frac{1}{2} \int_{-2\pi/\omega_0}^{2\pi/\omega_0} [\sin((\omega_0+\omega)t) + \sin((\omega_0-\omega)t)] dt$$

This integral will evaluate to zero for $\omega \neq \pm \omega_0$ because the sine functions will be periodic and the integration limits will be multiples of their periods. For $\omega = \pm \omega_0$, the integral will not converge to zero because the sine function will become constant.

For the second integral, we use the trigonometric identity $\sin A \sin B = \frac{1}{2}[\cos(A-B) - \cos(A+B)]$:
$$-j \int_{-2\pi/\omega_0}^{2\pi/\omega_0} \sin(\omega_0 t) \sin(\omega t) dt = -\frac{j}{2} \int_{-2\pi/\omega_0}^{2\pi/\omega_0} [\cos((\omega_0-\omega)t) - \cos((\omega_0+\omega)t)] dt$$

Similar to the first integral, this integral will evaluate to zero for $\omega \neq \pm \omega_0$. For $\omega = \pm \omega_0$, the integral will not converge to zero.

Therefore, the Fourier transform $X_1(\omega)$ will have non-zero imaginary parts only at $\omega = \pm \omega_0$. So, the Fourier transform of the signal $x_1(t)$ is not purely imaginary, but it has imaginary components.
True
doubao The Fourier transform of a function $x(t)$ is given by $X(\omega)=\int_{-\infty}^{\infty} x(t)e^{-i\omega t}dt$.

For the given signal $x_1(t)$, we have:

\[
\begin{align*}
X_1(\omega)&=\int_{-\frac{2\pi}{\omega_0}}^{\frac{2\pi}{\omega_0}} \sin(\omega_0 t)e^{-i\omega t}dt\\
&=\int_{-\frac{2\pi}{\omega_0}}^{\frac{2\pi}{\omega_0}} \frac{e^{i\omega_0 t}-e^{-i\omega_0 t}}{2i} e^{-i\omega t}dt\\
&=\frac{1}{2i}\int_{-\frac{2\pi}{\omega_0}}^{\frac{2\pi}{\omega_0}} (e^{i(\omega_0-\omega)t}-e^{-i(\omega_0+\omega)t})dt
\end{align*}
\]

Evaluating these integrals will result in a complex-valued $X_1(\omega)$ which has both real and imaginary parts. So the answer is no.
True
minimax To determine whether the Fourier transform of the signal $x_1(t)$ is imaginary, we first need to compute the Fourier transform of $x_1(t)$. The Fourier transform $X_1(f)$ of a signal $x_1(t)$ is defined as:

$$
X_1(f) = \int_{-\infty}^{\infty} x_1(t) e^{-j 2 \pi f t} dt
$$

Given that $x_1(t)$ is nonzero only in the interval $-\frac{2 \pi}{\omega_0} \leq t \leq \frac{2 \pi}{\omega_0}$, we can limit the bounds of the integral to this interval:

$$
X_1(f) = \int_{-\frac{2 \pi}{\omega_0}}^{\frac{2 \pi}{\omega_0}} \sin(\omega_0 t) e^{-j 2 \pi f t} dt
$$

We can use Euler's formula to express the sine function in terms of complex exponentials:

$$
\sin(\omega_0 t) = \frac{e^{j \omega_0 t} - e^{-j \omega_0 t}}{2j}
$$

Substituting this into the integral, we get:

$$
X_1(f) = \int_{-\frac{2 \pi}{\omega_0}}^{\frac{2 \pi}{\omega_0}} \frac{e^{j \omega_0 t} - e^{-j \omega_0 t}}{2j} e^{-j 2 \pi f t} dt
$$

This integral can be split into two parts:

$$
X_1(f) = \frac{1}{2j} \left( \int_{-\frac{2 \pi}{\omega_0}}^{\frac{2 \pi}{\omega_0}} e^{j (\omega_0 - 2 \pi f) t} dt - \int_{-\frac{2 \pi}{\omega_0}}^{\frac{2 \pi}{\omega_0}} e^{-j (\omega_0 + 2 \pi f) t} dt \right)
$$

Now, let's compute these two integrals separately:

For the first integral:

$$
\int_{-\frac{2 \pi}{\omega_0}}^{\frac{2 \pi}{\omega_0}} e^{j (\omega_0 - 2 \pi f) t} dt = \left. \frac{e^{j (\omega_0 - 2 \pi f) t}}{j (\omega_0 - 2 \pi f)} \right|_{-\frac{2 \pi}{\omega_0}}^{\frac{2 \pi}{\omega_0}}
$$

For the second integral:

$$
\int_{-\frac{2 \pi}{\omega_0}}^{\frac{2 \pi}{\omega_0}} e^{-j (\omega_0 + 2 \pi f) t} dt = \left. \frac{e^{-j (\omega_0 + 2 \pi f) t}}{-j (\omega_0 + 2 \pi f)} \right|_{-\frac{2 \pi}{\omega_0}}^{\frac{2 \pi}{\omega_0}}
$$

Notice that if $\omega_0 = 2 \pi f$, the first integral will have a zero in the denominator, which means it will contribute a delta function $\delta(f - \frac{\omega_0}{2 \pi})$ to the Fourier transform. Similarly, if $\omega_0 = -2 \pi f$, the second integral will contribute a delta function $\delta(f + \frac{\omega_0}{2 \pi})$.

However, in general, the integrals will not be zero, and the result will be a complex number. The Fourier transform of a sine function will have both real and imaginary parts, but in this case, the real parts from the two integrals will cancel each other out due to the symmetry of the sine function around the origin. Therefore, the Fourier transform of $x_1(t)$ will be purely imaginary except at the frequencies where $\omega_0 = \pm 2 \pi f$, where it will have delta function contributions.

In conclusion, the Fourier transform of the signal $x_1(t)$ is imaginary except at the frequencies where $\omega_0 = \pm 2 \pi f$, where it will have delta function contributions that are real.
True
kimi To determine whether the Fourier transform of the given signal \( x_1(t) \) is imaginary, we can first write down the general expression for the Fourier transform of a function \( x(t) \), which is given by:

\[
X(f) = \int_{-\infty}^{\infty} x(t) e^{-j 2 \pi f t} \, dt
\]

For the signal \( x_1(t) \), the Fourier transform \( X_1(f) \) can be computed as:

\[
X_1(f) = \int_{-\frac{2\pi}{\omega_0}}^{\frac{2\pi}{\omega_0}} \sin(\omega_0 t) e^{-j 2 \pi f t} \, dt
\]

We can use the Euler's formula to express the sine function as a sum of complex exponentials:

\[
\sin(\omega_0 t) = \frac{e^{j \omega_0 t} - e^{-j \omega_0 t}}{2j}
\]

Substituting this into the integral, we get:

\[
X_1(f) = \int_{-\frac{2\pi}{\omega_0}}^{\frac{2\pi}{\omega_0}} \frac{e^{j \omega_0 t} - e^{-j \omega_0 t}}{2j} e^{-j 2 \pi f t} \, dt
\]

This can be split into two integrals:

\[
X_1(f) = \frac{1}{2j} \left( \int_{-\frac{2\pi}{\omega_0}}^{\frac{2\pi}{\omega_0}} e^{j (\omega_0 - 2 \pi f) t} \, dt - \int_{-\frac{2\pi}{\omega_0}}^{\frac{2\pi}{\omega_0}} e^{-j (\omega_0 + 2 \pi f) t} \, dt \right)
\]

Now, we can solve each integral separately. The integrals are of the form:

\[
\int_{-\frac{2\pi}{\omega_0}}^{\frac{2\pi}{\omega_0}} e^{j (\omega_0 - 2 \pi f) t} \, dt \quad \text{and} \quad \int_{-\frac{2\pi}{\omega_0}}^{\frac{2\pi}{\omega_0}} e^{-j (\omega_0 + 2 \pi f) t} \, dt
\]

These integrals are both of the form \( \int e^{j \alpha t} \, dt \), which evaluates to \( \frac{e^{j \alpha t}}{j \alpha} \) from \( -\frac{2\pi}{\omega_0} \) to \( \frac{2\pi}{\omega_0} \). Applying this to both integrals, we get:

\[
X_1(f) = \frac{1}{2j} \left( \frac{e^{j (\omega_0 - 2 \pi f) \frac{2\pi}{\omega_0}} - 1}{j (\omega_0 - 2 \pi f)} - \frac{e^{-j (\omega_0 + 2 \pi f) \frac{2\pi}{\omega_0}} - 1}{j (\omega_0 + 2 \pi f)} \right)
\]

Simplifying further, we get:

\[
X_1(f) = \frac{1}{2} \left( \frac{e^{j 2 \pi (1 - f)} - 1}{2 \pi (1 - f)} - \frac{e^{-j 2 \pi (1 + f)} - 1}{2 \pi (1 + f)} \right)
\]

Notice that the terms \( e^{j 2 \pi (1 - f)} \) and \( e^{-j 2 \pi (1 + f)} \) will be 1 when \( f = 1 \), which simplifies the expression. However, for other values of \( f \), these terms will be complex numbers on the unit circle in the complex plane.

The Fourier transform \( X_1(f) \) will not be purely imaginary because it is a combination of terms that include both real and imaginary parts. The real part comes from the \( \frac{1}{2 \pi (1 - f)} \) and \( \frac{1}{2 \
True
wenxinyiyan 为了确定信号$x_1(t)$的傅里叶变换是否为虚数,我们首先需要计算该信号的傅里叶变换。

信号$x_1(t)$定义为一个在$-\frac{2 \pi}{\omega_0}$到$\frac{2 \pi}{\omega_0}$之间的正弦波,其他时间为0。我们可以将这个信号表示为:

$x_1(t) = \sin(\omega_0 t) \cdot \text{rect}\left(\frac{\omega_0 t}{4\pi}\right)$

其中,$\text{rect}(x)$是一个矩形函数,当$|x| \leq \frac{1}{2}$时等于1,否则等于0。

现在,我们来计算$x_1(t)$的傅里叶变换。根据傅里叶变换的定义,我们有:

$X_1(\omega) = \int_{-\infty}^{\infty} x_1(t) e^{-j\omega t} dt$

将$x_1(t)$的表达式代入上式,我们得到:

$X_1(\omega) = \int_{-\frac{2\pi}{\omega_0}}^{\frac{2\pi}{\omega_0}} \sin(\omega_0 t) e^{-j\omega t} dt$

这个积分可以分解为两部分:

$X_1(\omega) = \int_{-\frac{2\pi}{\omega_0}}^{\frac{2\pi}{\omega_0}} \frac{e^{j\omega_0 t} - e^{-j\omega_0 t}}{2j} e^{-j\omega t} dt$

$= \frac{1}{2j} \left[ \int_{-\frac{2\pi}{\omega_0}}^{\frac{2\pi}{\omega_0}} e^{j(\omega_0 - \omega)t} dt - \int_{-\frac{2\pi}{\omega_0}}^{\frac{2\pi}{\omega_0}} e^{-j(\omega_0 + \omega)t} dt \right]$

计算这两个积分,我们得到:

$X_1(\omega) = \frac{1}{2j} \left[ \frac{e^{j(\omega_0 - \omega)t}}{j(\omega_0 - \omega)} \Bigg|_{-\frac{2\pi}{\omega_0}}^{\frac{2\pi}{\omega_0}} - \frac{e^{-j(\omega_0 + \omega)t}}{-j(\omega_0 + \omega)} \Bigg|_{-\frac{2\pi}{\omega_0}}^{\frac{2\pi}{\omega_0}} \right]$

$= \frac{1}{2j} \left[ \frac{e^{j(\omega_0 - \omega)\frac{2\pi}{\omega_0}} - e^{-j(\omega_0 - \omega)\frac{2\pi}{\omega_0}}}{j(\omega_0 - \omega)} - \frac{e^{-j(\omega_0 + \omega)\frac{2\pi}{\omega_0}} - e^{j(\omega_0 + \omega)\frac{2\pi}{\omega_0}}}{-j(\omega_0 + \omega)} \right]$

由于$e^{j\theta} - e^{-j\theta} = 2j\sin(\theta)$,我们可以进一步简化上式:

$X_1(\omega) = \frac{1}{2j} \left[ \frac{2j\sin((\omega_0 - \omega)\frac{2\pi}{\omega_0})}{j(\omega_0 - \omega)} - \frac{-2j\sin((\omega_0 + \omega)\frac{2\pi}{\omega_0})}{-j(\omega_0 + \omega)} \right]$

$= \frac{\sin((\omega_0 - \omega)\frac{2\pi}{\omega_0})}{\omega_0 - \omega} - \frac{\sin((\omega_0 + \omega)\frac{2\pi}{\omega_0})}{\omega_0 + \omega}$

注意到上式中的两个分数项都是实数,因为$\sin(x)$是实数函数,且分母$\omega_0 - \omega$和$\omega_0 + \omega$也是实数。因此,整个表达式$X_1(\omega)$是实数。

所以,信号$x_1(t)$的傅里叶变换$X_1(\omega)$不是虚数,而是实数。
True
zhipu To determine whether the Fourier transform of the signal \( x_1(t) \) is imaginary, we first need to compute the Fourier transform \( X_1(\omega) \) of the given signal \( x_1(t) \).

The signal \( x_1(t) \) is defined as:
\[ x_1(t) = \begin{cases}
\sin(\omega_0 t), & -\frac{2\pi}{\omega_0} \leq t \leq \frac{2\pi}{\omega_0} \\
0, & \text{otherwise}
\end{cases} \]

The Fourier transform \( X_1(\omega) \) of \( x_1(t) \) is given by:
\[ X_1(\omega) = \int_{-\infty}^{\infty} x_1(t) e^{-j\omega t} \, dt \]

Since \( x_1(t) \) is non-zero only in the interval \( -\frac{2\pi}{\omega_0} \leq t \leq \frac{2\pi}{\omega_0} \), the integral simplifies to:
\[ X_1(\omega) = \int_{-\frac{2\pi}{\omega_0}}^{\frac{2\pi}{\omega_0}} \sin(\omega_0 t) e^{-j\omega t} \, dt \]

We can use the Euler's formula for sine:
\[ \sin(\omega_0 t) = \frac{e^{j\omega_0 t} - e^{-j\omega_0 t}}{2j} \]

Substituting this into the integral, we get:
\[ X_1(\omega) = \int_{-\frac{2\pi}{\omega_0}}^{\frac{2\pi}{\omega_0}} \frac{e^{j\omega_0 t} - e^{-j\omega_0 t}}{2j} e^{-j\omega t} \, dt \]
\[ X_1(\omega) = \frac{1}{2j} \int_{-\frac{2\pi}{\omega_0}}^{\frac{2\pi}{\omega_0}} (e^{j\omega_0 t} e^{-j\omega t} - e^{-j\omega_0 t} e^{-j\omega t}) \, dt \]
\[ X_1(\omega) = \frac{1}{2j} \int_{-\frac{2\pi}{\omega_0}}^{\frac{2\pi}{\omega_0}} (e^{j(\omega_0 - \omega) t} - e^{-j(\omega_0 + \omega) t}) \, dt \]

Now, we split the integral into two parts:
\[ X_1(\omega) = \frac{1}{2j} \left[ \int_{-\frac{2\pi}{\omega_0}}^{\frac{2\pi}{\omega_0}} e^{j(\omega_0 - \omega) t} \, dt - \int_{-\frac{2\pi}{\omega_0}}^{\frac{2\pi}{\omega_0}} e^{-j(\omega_0 + \omega) t} \, dt \right] \]

We evaluate each integral separately. For the first integral:
\[ \int_{-\frac{2\pi}{\omega_0}}^{\frac{2\pi}{\omega_0}} e^{j(\omega_0 - \omega) t} \, dt = \frac{e^{j(\omega_0 - \omega) t}}{j(\omega_0 - \omega)} \bigg|_{-\frac{2\pi}{\omega_0}}^{\frac{2\pi}{\omega_0}} \]
\[ = \frac{e^{j(\omega_0 - \omega) \frac{2\pi}{\omega_0}} - e^{-j(\omega_0 - \omega) \frac{2\pi}{\omega_0}}}{j(\omega_0 - \omega)} \]
\[ = \frac{e^{j2\pi} - e^{-j2\pi}}{j(\omega_0 - \omega)} \]
\[ = \frac{1 - 1}{j(\omega_0 - \omega)} = 0 \]

For the second integral:
\[ \int_{-\frac{2\pi}{\omega_0}}^{\frac{2\pi}{\omega_0}} e^{-j(\omega_0 + \omega) t} \, dt = \frac{e^{-j(\omega_0 + \omega) t}}{-j(\omega_0 + \omega)} \bigg|_{-\frac{2\pi}{\omega_0}}^{\frac{2\pi}{\omega_0}} \]
\[ = \frac{e^{-j(\omega_0 + \omega) \frac{2\pi}{\omega_0}} - e^{j(\omega_0 + \omega) \frac{2\pi}{\omega_0}}}{-j(\omega_0 + \omega)} \]
\[ = \frac{e^{-j2\pi} - e^{j2\pi}}{-j(\omega_0 + \omega)} \]
\[ = \frac{1 - 1}{-j(\omega_0 + \omega)} = 0 \]

However, there is a mistake in the above evaluations. Let's re-evaluate the integrals correctly:

For the first integral:
\[ \int_{-\frac{2\pi}{\omega_0}}^{\frac{2\pi}{\omega_0}} e^{j(\omega_0 - \omega) t} \, dt = \frac{e^{j(\omega_0 - \omega) t}}{j(\omega_0 - \omega)} \bigg|_{-\frac{2\pi}{\omega_0}}^{\frac{2\pi}{\omega_0}} \]
\[ = \frac{e^{j(\omega_0 - \omega) \frac{2\pi}{\omega_0}} - e^{-j(\omega_0 - \omega) \frac{2\pi}{\omega_0}}}{j(\omega_0 - \omega)} \]
\[ = \frac{e^{j2\pi} - e^{-j2\pi}}{j(\omega_0 - \omega)} \]
\[ = \frac{1 - 1}{j(\omega_0 - \omega)} = 0 \quad \text{(incorrect, as } e^{j2\pi} = 1 \text{ and } e^{-j2\pi} = 1)\]

Correctly:
\[ = \frac{e^{j(\omega_0 - \omega) \frac{2\pi}{\omega_0}} - e^{-j(\omega_0 - \omega) \frac{2\pi}{\omega_0}}}{j(\omega_0 - \omega)} \]
\[ = \frac{e^{j2\pi (\frac{\omega_0 - \omega}{\omega_0})} - e^{-j2\pi (\frac{\omega_0 - \omega}{\omega_0})}}{j(\omega_0 - \omega)} \]
\[ = \frac{e^{j2\pi k} - e^{-j2\pi k}}{j(\omega_0 - \omega)} \quad \text{(where } k = \frac{\omega_0 - \omega}{\omega_0}) \]
\[ = \frac{1 - 1}{j(\omega_0 - \omega)} = 0 \quad \text{(if } k \text{ is an integer)} \]

For the second integral:
\[ \int_{-\frac{2\pi}{\omega_0}}^{\frac{2\pi}{\omega_0}} e^{-j(\omega_0 + \omega) t} \, dt = \frac{e^{-j(\omega_0 + \omega) t}}{-j(\omega_0 + \omega)} \bigg|_{-\frac{2\pi}{\omega_0}}^{\frac{2\pi}{\omega_0}} \]
\[ = \frac{e^{-j(\omega_0 + \omega) \frac{2\pi}{\omega_0}} - e^{j(\omega_0 + \omega) \frac{2\pi}{\omega_0}}}{-j(\omega_0 + \omega)} \]
\[ = \frac{e^{-j2\pi (\frac{\omega_0 + \omega}{\omega_0})} - e^{j2\pi (\frac{\omega_0 + \omega}{\omega_0})}}{-j(\omega_0 + \omega)} \]
\[ = \frac{e^{j2\pi k} - e^{-j2\pi k}}{-j(\omega_0 + \omega)} \quad \text{(where } k = \frac{\omega_0 + \omega}{\omega_0}) \]
\[ = \frac{1 - 1}{-j(\omega_0 + \omega)} = 0 \quad \text{(if } k \text{ is an integer)} \]

Both integrals evaluate to zero if \( k \) is an integer, which is typically the case for \( \omega \) being a multiple of \( \omega_0 \).

However, the correct approach should consider the general case where \( \omega \) is not necessarily a multiple of \( \omega_0 \).

Let's re-evaluate the integrals without assuming \( k \) is an integer:

\[ \int_{-\frac{2\pi}{\omega_0}}^{\frac{2\pi}{\omega_0}} e^{j(\omega_0 - \omega) t} \, dt = \frac{e^{j(\omega_0 - \omega) t}}{j(\omega_0 - \omega)} \bigg|_{-\frac{2\pi}{\omega_0}}^{\frac{2\pi}{\omega_0}} \]
\[ = \frac{e^{j(\omega_0 - \omega) \frac{2\pi}{\omega_0}} - e^{-j(\omega_0 - \omega) \frac{2\pi}{\omega_0}}}{j(\omega_0 - \omega)} \]
\[ = \frac{e^{j2\pi (\frac{\omega_0 - \omega}{\omega_0})} - e^{-j2\pi (\frac{\omega_0 - \omega}{\omega_0})}}{j(\omega_0 - \omega)} \]
\[ = \frac{e^{j2\pi k} - e^{-j2\pi k}}{j(\omega_0 - \omega)} \quad \text{(where } k = \frac{\omega_0 - \omega}{\omega_0}) \]

For general \( k \):
\[ = \frac{2j \sin(2\pi k)}{j(\omega_0 - \omega)} = \frac{2 \sin(2\pi k)}{\omega_0 - \omega} \]

Similarly,
\[ \int_{-\frac{2\pi}{\omega_0}}^{\frac{2\pi}{\omega_0}} e^{-j(\omega_0 + \omega) t} \, dt = \frac{e^{-j(\omega_0 + \omega) t}}{-j(\omega_0 + \omega)} \bigg|_{-\frac{2\pi}{\omega_0}}^{\frac{2\pi}{\omega_0}} \]
\[ = \frac{e^{-j(\omega_0 + \omega) \frac{2\pi}{\omega_0}} - e^{j(\omega_0 + \omega) \frac{2\pi}{\omega_0}}}{-j(\omega_0 + \omega)} \]
\[ = \frac{e^{-j2\pi (\frac{\omega_0 + \omega}{\omega_0})} - e^{j2\pi (\frac{\omega_0 + \omega}{\omega_0})}}{-j(\omega_0 + \omega)} \]
\[ = \frac{e^{j2\pi k} - e^{-j2\pi k}}{-j(\omega_0 + \omega)} \quad \text{(where } k = \frac{\omega_0 + \omega}{\omega_0}) \]

For general \( k \):
\[ = \frac{2j \sin(2\pi k)}{-j(\omega_0 + \omega)} = \frac{2 \sin(2\pi k)}{\omega_0 + \omega} \]

Combining these results:
\[ X_1(\omega) = \frac{1}{2j} \left[ \frac{2 \sin(2\pi k)}{\omega_0 - \omega} - \frac{2 \sin(2\pi k)}{\omega_0 + \omega} \right] \]
\[ = \frac{\sin(2\pi k)}{j} \left[ \frac{1}{\omega_0 - \omega} - \frac{1}{\omega_0 + \omega} \right] \]
\[ = \frac{\sin(2\pi k)}{j} \left[ \frac{\omega_0 + \omega - (\omega_0 - \omega)}{(\omega_0 - \omega)(\omega_0 + \omega)} \right] \]
\[ = \frac{\sin(2\pi k)}{j} \left[ \frac{2\omega}{\omega_0^2 - \omega^2} \right] \]
\[ = \frac{2\omega \sin(2\pi k)}{j (\omega_0^2 - \omega^2)} \]

Since \( \frac{2\omega \sin(2\pi k)}{j (\omega_0^2 - \omega^2)} \) is purely imaginary (as it is multiplied by \( j \) in the denominator), the Fourier transform \( X_1(\omega) \) is indeed imaginary.

Thus, the solution to the problem is:
**Yes, the Fourier transform of the signal \( x_1(t) \) is imaginary.**
True
gpto1 **Answer:**

Yes, the Fourier transform of the given signal \( x_1(t) \) is purely imaginary.

---

**Detailed Solution:**

We are given the signal:
\[ x_1(t) = \begin{cases} \sin(\omega_0 t), & -\dfrac{2\pi}{\omega_0} \leq t \leq \dfrac{2\pi}{\omega_0} \\ 0, & \text{otherwise} \end{cases} \]

We are to determine whether the Fourier transform \( X_1(\omega) \) of \( x_1(t) \) is imaginary.

**Step 1: Compute the Fourier Transform**

The Fourier transform of \( x_1(t) \) is:
\[ X_1(\omega) = \int_{-\infty}^{\infty} x_1(t) e^{-j\omega t} dt \]
Due to the definition of \( x_1(t) \), the integral simplifies to:
\[ X_1(\omega) = \int_{-T}^{T} \sin(\omega_0 t) e^{-j\omega t} dt \]
where \( T = \dfrac{2\pi}{\omega_0} \).

**Step 2: Express the Sine Function Using Exponentials**

Using Euler's formula:
\[ \sin(\omega_0 t) = \dfrac{e^{j\omega_0 t} - e^{-j\omega_0 t}}{2j} \]
Substituting this into the integral:
\[ X_1(\omega) = \dfrac{1}{2j} \int_{-T}^{T} [e^{j\omega_0 t} - e^{-j\omega_0 t}] e^{-j\omega t} dt \]
\[ X_1(\omega) = \dfrac{1}{2j} \int_{-T}^{T} [e^{j(\omega_0 - \omega)t} - e^{-j(\omega_0 + \omega)t}] dt \]

**Step 3: Evaluate the Integrals**

Compute the integrals separately:
\[ I_1 = \int_{-T}^{T} e^{j(\omega_0 - \omega)t} dt = \left[ \dfrac{e^{j(\omega_0 - \omega)t}}{j(\omega_0 - \omega)} \right]_{-T}^{T} \]
\[ I_2 = \int_{-T}^{T} e^{-j(\omega_0 + \omega)t} dt = \left[ \dfrac{e^{-j(\omega_0 + \omega)t}}{-j(\omega_0 + \omega)} \right]_{-T}^{T} \]

Compute \( I_1 \) and \( I_2 \):
\[ I_1 = \dfrac{1}{j(\omega_0 - \omega)} [e^{j(\omega_0 - \omega)T} - e^{-j(\omega_0 - \omega)T}] \]
\[ I_2 = \dfrac{1}{-j(\omega_0 + \omega)} [e^{-j(\omega_0 + \omega)T} - e^{j(\omega_0 + \omega)T}] \]

**Step 4: Simplify the Exponential Terms**

Recognize that:
\[ e^{j\theta} - e^{-j\theta} = 2j \sin(\theta) \]
\[ e^{-j\theta} - e^{j\theta} = -2j \sin(\theta) \]

Applying to \( I_1 \) and \( I_2 \):
\[ I_1 = \dfrac{2j \sin[(\omega_0 - \omega)T]}{j(\omega_0 - \omega)} = \dfrac{2 \sin[(\omega_0 - \omega)T]}{\omega_0 - \omega} \]
\[ I_2 = \dfrac{-2j \sin[(\omega_0 + \omega)T]}{-j(\omega_0 + \omega)} = \dfrac{2 \sin[(\omega_0 + \omega)T]}{\omega_0 + \omega} \]

**Step 5: Substitute Back into the Fourier Transform**

\[ X_1(\omega) = \dfrac{1}{2j}\left( I_1 - I_2 \right) \]
\[ X_1(\omega) = \dfrac{1}{2j} \left( \dfrac{2 \sin[(\omega_0 - \omega)T]}{\omega_0 - \omega} - \dfrac{2 \sin[(\omega_0 + \omega)T]}{\omega_0 + \omega} \right) \]
\[ X_1(\omega) = \dfrac{1}{j} \left( \dfrac{ \sin[(\omega_0 - \omega)T]}{\omega_0 - \omega} - \dfrac{ \sin[(\omega_0 + \omega)T]}{\omega_0 + \omega} \right) \]

**Step 6: Simplify Using Trigonometric Identities**

Using the periodicity of the sine function:
\[ \sin[(\omega_0 - \omega)T] = \sin\left(2\pi - \dfrac{2\pi \omega}{\omega_0}\right) = -\sin\left(\dfrac{2\pi \omega}{\omega_0}\right) \]
\[ \sin[(\omega_0 + \omega)T] = \sin\left(2\pi + \dfrac{2\pi \omega}{\omega_0}\right) = \sin\left(\dfrac{2\pi \omega}{\omega_0}\right) \]

Substitute back:
\[ X_1(\omega) = \dfrac{1}{j} \left( \dfrac{-\sin\left(\dfrac{2\pi \omega}{\omega_0}\right)}{\omega_0 - \omega} - \dfrac{ \sin\left(\dfrac{2\pi \omega}{\omega_0}\right)}{\omega_0 + \omega} \right) \]
\[ X_1(\omega) = -\dfrac{1}{j} \left( \sin\left(\dfrac{2\pi \omega}{\omega_0}\right) \left( \dfrac{1}{\omega_0 - \omega} + \dfrac{1}{\omega_0 + \omega} \right) \right) \]

Simplify the sum:
\[ \dfrac{1}{\omega_0 - \omega} + \dfrac{1}{\omega_0 + \omega} = \dfrac{2\omega_0}{\omega_0^2 - \omega^2} \]

Therefore:
\[ X_1(\omega) = -\dfrac{1}{j} \left( \sin\left(\dfrac{2\pi \omega}{\omega_0}\right) \dfrac{2\omega_0}{\omega_0^2 - \omega^2} \right) \]

**Step 7: Simplify the Expression**

Note that:
\[ -\dfrac{1}{j} = j \]
So we have:
\[ X_1(\omega) = j \cdot \dfrac{2\omega_0 \sin\left(\dfrac{2\pi \omega}{\omega_0}\right)}{\omega_0^2 - \omega^2} \]

**Conclusion:**

The Fourier transform \( X_1(\omega) \) is purely imaginary since it is a real function multiplied by \( j \). There is no real part in \( X_1(\omega) \).

---

**Therefore, the Fourier transform of the given signal is imaginary.**
True
deepseekv3 To determine whether the Fourier transform of the signal \( x_1(t) \) is purely imaginary, we need to analyze the properties of the signal and its Fourier transform.

### Step 1: Express the Signal
The signal \( x_1(t) \) is defined as:
\[
x_1(t) = \begin{cases}
\sin(\omega_0 t), & -\frac{2\pi}{\omega_0} \leq t \leq \frac{2\pi}{\omega_0} \\
0, & \text{otherwise}
\end{cases}
\]

### Step 2: Fourier Transform Definition
The Fourier transform \( X_1(\omega) \) of \( x_1(t) \) is given by:
\[
X_1(\omega) = \int_{-\infty}^{\infty} x_1(t) e^{-j\omega t} \, dt
\]

### Step 3: Simplify the Integral
Since \( x_1(t) \) is zero outside the interval \( -\frac{2\pi}{\omega_0} \leq t \leq \frac{2\pi}{\omega_0} \), the integral simplifies to:
\[
X_1(\omega) = \int_{-\frac{2\pi}{\omega_0}}^{\frac{2\pi}{\omega_0}} \sin(\omega_0 t) e^{-j\omega t} \, dt
\]

### Step 4: Express \( \sin(\omega_0 t) \) in Complex Exponential Form
Using the identity \( \sin(\omega_0 t) = \frac{e^{j\omega_0 t} - e^{-j\omega_0 t}}{2j} \), we can rewrite the integral as:
\[
X_1(\omega) = \int_{-\frac{2\pi}{\omega_0}}^{\frac{2\pi}{\omega_0}} \frac{e^{j\omega_0 t} - e^{-j\omega_0 t}}{2j} e^{-j\omega t} \, dt
\]
\[
X_1(\omega) = \frac{1}{2j} \left( \int_{-\frac{2\pi}{\omega_0}}^{\frac{2\pi}{\omega_0}} e^{j(\omega_0 - \omega)t} \, dt - \int_{-\frac{2\pi}{\omega_0}}^{\frac{2\pi}{\omega_0}} e^{-j(\omega_0 + \omega)t} \, dt \right)
\]

### Step 5: Evaluate the Integrals
Both integrals are of the form \( \int e^{j(\omega_0 \mp \omega)t} \, dt \). The result of such an integral over a finite interval will generally be a complex number.

### Step 6: Analyze the Result
The Fourier transform \( X_1(\omega) \) will be a complex-valued function in general. However, the question is whether it is purely imaginary.

Given that \( \sin(\omega_0 t) \) is an odd function (i.e., \( \sin(-\omega_0 t) = -\sin(\omega_0 t) \)), and the Fourier transform of an odd real function is purely imaginary, we can conclude that \( X_1(\omega) \) is indeed purely imaginary.

### Final Answer
Yes, the Fourier transform of the signal \( x_1(t) \) is purely imaginary.
True