- #1
nacho said:Please refer to the attached image.
How do I do these questions, In particular
1a, 1c and 1f.
Could anyone give me a hint to get me started with either of these?
Thanks.
nacho said:Thanks for that.
Although, for
1a) it says that the sum of the series is
$\frac{1}{1-\frac{i}{3}}$ $ = $ $\frac{9+3i}{10}$
Why is this? I am unsure how they get to the first term of $\frac{1}{1-\frac{i}{3}}$
Chris L T521 said:Note that
\[\frac{1}{1-\dfrac{i}{3}} = \frac{3}{3\left(1-\dfrac{i}{3}\right)} = \frac{3}{3-i}\]
Now conjugate and you'll get the desired result.
ZaidAlyafey said:Use that power series
\(\displaystyle \frac{1}{1-z} = \sum_{k=0}^{\infty}z^k \,\,\,\,\,\,\, |z|<1\)
A sequence is a list of numbers that follow a specific pattern or rule, while a series is the sum of terms in a sequence. In other words, a series is the result of adding all the numbers in a sequence.
In an arithmetic sequence, each term is obtained by adding a constant number to the previous term. In a geometric sequence, each term is obtained by multiplying the previous term by a constant number. Similarly, in an arithmetic series, the sum of terms is calculated by adding a constant number to each term, while in a geometric series, the sum is calculated by multiplying each term by a constant number.
To find the nth term of a sequence, you need to identify the pattern or rule followed by the sequence. Once you have identified the pattern, you can use it to find the value of the nth term by substituting the value of n into the rule.
To find the sum of a finite series, you can use the formula S = (n/2)(a + l), where S is the sum, n is the number of terms, a is the first term, and l is the last term. Alternatively, you can also use the formula S = (n/2)(2a + (n-1)d), where d is the common difference for an arithmetic series, or S = (a(1-r^n))/(1-r), where r is the common ratio for a geometric series.
Sequences and series are used in various fields, including mathematics, physics, and computer science. In mathematics, they are used to model and solve problems related to growth, decay, and patterns. In physics, they are used to describe and predict the behavior of natural phenomena. In computer science, they are used in algorithms and data structures to efficiently store and process large amounts of data.