Now try Written Assignment. Question 1: Find all values of x, y and z that make the following matrix equation true, or demonstrate that no such values exist: 15 10
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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2.1 Matrix Operations sp 20.pdf
Example 3:
1
Given the matrices A = 3
7
3 -2 and B = , compute the products AB and BA, if they are
E . compute the products AB and BA, if they are
3.
defined.
Solutions:
[20 -191
• AB =-3
9
-9
• BA is undefined
Video Solution: http://youtu.be/cOFVIELyXuA?hd=1
Example 4:
Matrices A and B are said to commute if AB = BA.
Let A = 9. Find all matrices that commute with A.
Video Solution: https://youtu.be/zuxMQDUHFnl
Now try Written Assignment. Question 1:
Find all values of x, y and z that make the following matrix equation true, or demonstrate that no such
values exist:
3y 5
15 -39
-10
Theorem 2.1.2: Properties of Matrix Multiplication
Let A be an m xn matrix, and let B and C have sizes for which the indicated
sums and products are defined.
a. A(BC) = (AB)C
(associative law of multiplication)
b. A(B +C) = AB + AC
(left distributive law)
c. (B +C)A = BA + CA
d. r(AB) - (rA)B = A(rB)
for any scalar r
(right distributive law)
e. ImA = A = Al,
(identity for matrix multiplication)
III.
Transpose of a Matrix
DEFINITION: Transpose of a Matrix
Given an m x n matrix A, the transpose of A, denoted A", is defined to be an nxm matrix
created by rewriting the rows of A as columns.
Example 5:
Find the transnose of the matrix A =
! -3 71
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