Problem 11
Question
First find the general solution (involving a constant C) for the given differential equation. Then find the particular solution that satisfies the indicated condition. (See Example 2.) \(\frac{d s}{d t}=16 t^{2}+4 t-1 ; s=100\) at \(t=0\)
Step-by-Step Solution
Verified Answer
Particular solution is \(s(t) = \frac{16}{3}t^3 + 2t^2 - t + 100\).
1Step 1: Integrate the Differential Equation
To find the general solution, we need to integrate the differential equation \( \frac{ds}{dt} = 16t^2 + 4t - 1 \). This yields:\[s(t) = \int (16t^2 + 4t - 1)\, dt = \frac{16}{3}t^3 + \frac{4}{2}t^2 - t + C = \frac{16}{3}t^3 + 2t^2 - t + C.\]
2Step 2: Apply the Initial Condition
We are given the condition \( s(0) = 100 \). Substitute \( t = 0 \) and \( s = 100 \) into the general solution to find \( C \):\[100 = \frac{16}{3}(0)^3 + 2(0)^2 - 0 + C = C.\]Thus, \( C = 100 \).
3Step 3: Write the Particular Solution
Substitute \( C = 100 \) back into the general solution. The particular solution is:\[s(t) = \frac{16}{3}t^3 + 2t^2 - t + 100.\]
Key Concepts
Differential EquationsIntegrationInitial ConditionsParticular Solution
Differential Equations
Differential equations are mathematical equations that describe how a quantity changes in relation to another. In this exercise, we work with the differential equation \( \frac{ds}{dt} = 16t^2 + 4t - 1 \). This tells us how the function \( s(t) \), which depends on \( t \), changes as \( t \) changes.
These equations are crucial in many fields, like physics and engineering, as they model real-world systems:
These equations are crucial in many fields, like physics and engineering, as they model real-world systems:
- Motion of objects
- Heat transfer
- Population growth
Integration
Integration is a fundamental concept in calculus used to reverse-differentiate a function. You can think of it as finding the area under a curve. In the context of our differential equation, integration helps us transition from \( \frac{ds}{dt} \) back to \( s(t) \).
When we integrate \( 16t^2 + 4t - 1 \), it involves finding antiderivatives:
When we integrate \( 16t^2 + 4t - 1 \), it involves finding antiderivatives:
- \( \frac{16}{3}t^3 \) from \( 16t^2 \)
- \( 2t^2 \) from \( 4t \)
- \(-t \) from \(-1 \)
Initial Conditions
Initial conditions are specific conditions or values provided to solve for constant terms in differential equations. They help us find a unique solution for our problem.
For this exercise, we're given that \( s(0) = 100 \). This means when \( t = 0 \), the function \( s(t) \) should equal 100. By substituting these values into our general solution \( s(t) = \frac{16}{3}t^3 + 2t^2 - t + C \), we can solve for \( C \).
This process simplifies our results to a single function, aligning with the specific criteria from the initial conditions. Initial conditions are pivotal in real-life scenarios, ensuring models align with known data.
For this exercise, we're given that \( s(0) = 100 \). This means when \( t = 0 \), the function \( s(t) \) should equal 100. By substituting these values into our general solution \( s(t) = \frac{16}{3}t^3 + 2t^2 - t + C \), we can solve for \( C \).
This process simplifies our results to a single function, aligning with the specific criteria from the initial conditions. Initial conditions are pivotal in real-life scenarios, ensuring models align with known data.
Particular Solution
The particular solution is the result we get when we apply specific initial conditions to the general solution of a differential equation. Our general solution is \( s(t) = \frac{16}{3}t^3 + 2t^2 - t + C \), and from our exercise, we found \( C = 100 \) by using the initial condition. Thus, the particular solution is \( s(t) = \frac{16}{3}t^3 + 2t^2 - t + 100 \).
In essence, the particular solution tailors the general equation to a specific scenario and ensures the model reflects real-world situations accurately.
This individualized solution holds the power to accurately capture the dynamics and behaviors specified by the original problem, offering precise predictions.
In essence, the particular solution tailors the general equation to a specific scenario and ensures the model reflects real-world situations accurately.
This individualized solution holds the power to accurately capture the dynamics and behaviors specified by the original problem, offering precise predictions.
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