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A dog in an open field is at rest under a tree at time \(t=0\) and then runs with acceleration \(\vec{a}(t)=\left(0.400 \mathrm{~m} / \mathrm{s}^{2}\right) \hat{\imath}-\left(0.180 \mathrm{~m} / \mathrm{s}^{3}\right) t \hat{\jmath}\) How far is the dog from the tree \(8.00 \mathrm{~s}\) after it starts to run?

Short Answer

Expert verified
Using the expressions obtained for the position components, we can substitute \(t = 8.00 \, s\) into the expressions for \(r_i\) and \(r_j\), and then calculate the root of their squares. The result will be the distance between the tree and the dog at this particular time. Solve this for the exact numerical value.

Step by step solution

01

Express the Acceleration Vector Component-wise

First, consider the acceleration vector as given in the problem. The acceleration vector \(\vec{a}(t) = (0.400 \,m/s^2) \hat{i} - (0.180 \,m/s^3) t \hat{j}\) can be seen as two separate acceleration components. One in the \(\hat{i}\) direction (horizontal) and one in the \(\hat{j}\) direction (vertical). The component in the \(\hat{i}\) direction is constant, and the component in the \(\hat{j}\) direction varies with time \(t\).
02

Integrate the Acceleration Components to find Velocity

By integrating the acceleration components, the velocity components can be obtained. A constant of integration will appear, but since the dog started from rest, the constants of integration (which represent initial velocities in the respective directions) are zero. The \(\hat{i}\) component of the velocity function \(v(t) = \int a(t) dt\) will be \(v_i(t) = (0.400 \, m/s^2) t\). Integrating the \(\hat{j}\) component of the acceleration function will give \(v_j(t) = - (0.180 \, m/s^3) t^2 / 2\).
03

Integrate the Velocity Components to find Position

Next, by integrating the velocity components, one can obtain the position functions. Similar to when obtaining velocity, constants of integration will appear. However, since the dog started at the tree, which we can denote as the origin of our coordinate system, these constants (initial positions) are also zero. The \(\hat{i}\) component of the position function \(r(t) = \int v(t) dt\) will be \(r_i(t) = (0.400 \, m/s^2) t^2 / 2\). Integrating the \(\hat{j}\) component of the velocity function \(v_j(t)\) gives \(r_j(t) = - (0.180 \, m/s^3) t^3 / 6\).
04

Determine Magnitude of Displacement

The total displacement of the dog from the tree is given by the vector \(r(t) = r_i(t) \hat{i} + r_j(t) \hat{j}\). However, the desired result is the distance (or magnitude of displacement). Thus, one can calculate the distance by using the Pythagorean theorem to find the magnitude of \(r(t)\). The distance \(d(t) = \sqrt{r_i(t)^2 + r_j(t)^2}\). By applying this formula using the expressions obtained in step 3 for \(r_i\) and \(r_j\) at time \(t = 8.00 \, s\), one will obtain the final numerical answer.

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Key Concepts

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

Vector Acceleration
Vector acceleration is an important concept in physics which describes how the velocity of an object changes with time, in both magnitude and direction. It is crucial for understanding motion as it underpins the dynamics of objects. In the given problem, the dog's acceleration is expressed as a vector \( \vec{a}(t) \). The vector has both an x-component in the direction \( \hat{i} \) and a y-component in the direction \( \hat{j} \.\)

The function \( \vec{a}(t) = (0.400 \,m/s^2) \hat{i} - (0.180 \,m/s^3) t \hat{j} \) signifies that the dog's acceleration in the x-direction is constant, while in the y-direction it decreases linearly over time. This variable acceleration means that the dog’s velocity will not simply increase at a steady rate; instead, its behavior over time will be more complex due to the changing y-component.
Velocity Integration
Velocity integration is the process by which we determine an object’s velocity based on its acceleration. Since acceleration is the rate of change of velocity, by integrating the acceleration over time, we determine the velocity function.

For the problem at hand, the acceleration vector will be integrated component-wise to find the velocity. The integration of the constant x-acceleration yields a linear velocity function \(v_i(t) = (0.400 \, m/s^2) t\). On the other hand, integrating the time-dependent y-acceleration gives a quadratic term \(v_j(t) = - (0.180 \, m/s^3) t^2 / 2\). Thus, integrating the acceleration vector is not merely about calculating an area under a curve; it establishes the foundation of how the dog's velocity changes over time.
Position Function
The position function describes the location of an object as a function of time. After determining velocity through integration of acceleration, we integrate the velocity to get the position function. The position function is essential for interpreting an object's movement over time and determining its location at any point.

For the running dog, further integration of the velocity components obtained from the previous step provides the x- and y-position functions \(r_i(t) = (0.400 \, m/s^2) t^2 / 2\) and \(r_j(t) = - (0.180 \, m/s^3) t^3 / 6\), respectively. These equations describe the dog's path in two dimensions and will allow us to calculate how far the dog has traveled from its starting point.
Magnitude of Displacement
The magnitude of displacement is a scalar value representing the distance from an object's starting point to its final position, regardless of its path traveled. It is found by determining the length of the displacement vector, which consists of the combined x- and y-components of the dog's position.

In our scenario, the dog starts at the origin, and after 8 seconds, it has position components \(r_i(8.00 s)\) and \(r_j(8.00 s)\). The magnitude of displacement is calculated using the Pythagorean theorem. For the dog, the formula yields \(d(8.00 s) = \sqrt{r_i(8.00 s)^2 + r_j(8.00 s)^2}\). This calculation elucidates the direct distance the dog is from the tree after the elapsed time, providing a clear measure of its overall displacement.

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