Math Problem Statement
- Suppose that a vector-valued function ~r(t) satisfies ~r 00(t) = ~ı + 2~k (so its second derivative is constant) along with ~r(0) = −2~ + 5~k and ~r 0 (0) = 3~ − 4 ~k. (a) Find ~r(t). (b) At what t is ~r 0 the shortest (as we’ll see, this is where ~r is moving most slowly)?
Solution
(a) Find
We are given the following information:
To find , we first integrate with respect to to find .
Integrating:
where is a constant vector. To determine , we use the initial condition :
Thus, the first derivative of is:
Next, integrate to find :
where is another constant vector. To determine , we use the initial condition :
Thus, the vector function is:
(b) At what is the shortest?
The length of is given by the magnitude of the vector . We want to minimize this magnitude.
Simplifying the expression inside the square root:
To find the minimum of , we take the derivative of and set it equal to zero:
Setting , we solve:
Thus, is shortest when .
Summary:
- (a)
- (b) The velocity is shortest at .
Do you have any further questions, or would you like more details?
Here are 5 related questions for you to consider:
- How do you determine the velocity vector from ?
- What does the magnitude of represent physically?
- How do initial conditions affect the general solution to a vector-valued function?
- What is the geometric significance of minimizing the velocity vector's magnitude?
- How do you integrate vector-valued functions with respect to time?
Tip: Always use initial conditions to solve for unknown constants after integration, ensuring the solution fits the problem's constraints.
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Math Problem Analysis
Mathematical Concepts
Vector Calculus
Integration
Optimization
Vector-valued Functions
Formulas
r'(t) = ∫r''(t) dt
r(t) = ∫r'(t) dt
|r'(t)| = √(r'(t)•r'(t))
Minimization by setting derivative of magnitude to zero
Theorems
Fundamental Theorem of Calculus
Optimization in Calculus
Suitable Grade Level
College Level - Calculus II
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