Do not use technology. For 0 sts 7, a particle moves along the x-axis. The velocity of the particle is given by v(t) = sin(tt/3). The particle is at position x = -4 when t = 0. (a) For 0 sts 7, when is the particle moving to the right? (Enter your answer using interval notation.) Justify your answer. O At these times, a(t) > 0. O At these times, x(t) < 0. At these times, v(t) < 0. At these times, a(t) < 0. At these times, x(t) > 0. O At these times, v(t) > 0. (b) Write, but do not evaluate, an integral expression that gives the total distance traveled by the particle from time t = 0 to t = 7. dt (c) Find the acceleration of the particle at time t = 2. (Round your answer to two decimal places.) Is the particle speeding up, slowing down, or neither at t = 2? Justify your answer. O Because a(2) = o, the particle is neither speeding up nor slowing down. Because v(2) = 0, the particle is neither speeding up nor slowing down. Because v(2) < 0, the particle is slowing down. Because a(2) < 0, the particle is slowing down. Because v(2) > 0, the particle is speeding up. O Because a(2) > 0, the particle is speeding up. (d) Find the position of the particle at time t = 2. (Round your answer to two decimal places.) x(2)
Minimization
In mathematics, traditional optimization problems are typically expressed in terms of minimization. When we talk about minimizing or maximizing a function, we refer to the maximum and minimum possible values of that function. This can be expressed in terms of global or local range. The definition of minimization in the thesaurus is the process of reducing something to a small amount, value, or position. Minimization (noun) is an instance of belittling or disparagement.
Maxima and Minima
The extreme points of a function are the maximum and the minimum points of the function. A maximum is attained when the function takes the maximum value and a minimum is attained when the function takes the minimum value.
Derivatives
A derivative means a change. Geometrically it can be represented as a line with some steepness. Imagine climbing a mountain which is very steep and 500 meters high. Is it easier to climb? Definitely not! Suppose walking on the road for 500 meters. Which one would be easier? Walking on the road would be much easier than climbing a mountain.
Concavity
In calculus, concavity is a descriptor of mathematics that tells about the shape of the graph. It is the parameter that helps to estimate the maximum and minimum value of any of the functions and the concave nature using the graphical method. We use the first derivative test and second derivative test to understand the concave behavior of the function.
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