Please answer problem d
Addition Rule of Probability
It simply refers to the likelihood of an event taking place whenever the occurrence of an event is uncertain. The probability of a single event can be calculated by dividing the number of successful trials of that event by the total number of trials.
Expected Value
When a large number of trials are performed for any random variable ‘X’, the predicted result is most likely the mean of all the outcomes for the random variable and it is known as expected value also known as expectation. The expected value, also known as the expectation, is denoted by: E(X).
Probability Distributions
Understanding probability is necessary to know the probability distributions. In statistics, probability is how the uncertainty of an event is measured. This event can be anything. The most common examples include tossing a coin, rolling a die, or choosing a card. Each of these events has multiple possibilities. Every such possibility is measured with the help of probability. To be more precise, the probability is used for calculating the occurrence of events that may or may not happen. Probability does not give sure results. Unless the probability of any event is 1, the different outcomes may or may not happen in real life, regardless of how less or how more their probability is.
Basic Probability
The simple definition of probability it is a chance of the occurrence of an event. It is defined in numerical form and the probability value is between 0 to 1. The probability value 0 indicates that there is no chance of that event occurring and the probability value 1 indicates that the event will occur. Sum of the probability value must be 1. The probability value is never a negative number. If it happens, then recheck the calculation.
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Problem 3. Consider the second-order linear ODE:
x"(t) + 64x(t) = 0
where x(0) = ? and x'(0) = }.
(a) Using the substitution x1(t) = x(t) and x2(t) = x'(t), rewrite the second order equation as a
system of linear first-order differential equations. Write your final system in matrix/vector
form.
(b) Solve this system by finding eigenvalues and eigenvectors of the matrix, and then reexpress
your solutions so that your final solution contains only real numbers. Express the general so-
lution of your system in matrix form, and the particular solution using the initial conditions
above.
(c) Graph the phase portait of your vector solution on the x1X2 axis.
(d) Interpret your solution the initial conditions to find the solution to the second-order ODE
x(t) exactly.
(e) Verify that your solution is correct by showing that x1(t)
order differential equation and its initial conditions.
x(t) satisfies the original second-
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