My Year 12 Specialist Students are using complex numbers to prove trigonometric identities.
Things like
![]()


Method 2 might be a little bit easier depending upon how your brain works.
My Year 12 Specialist Students are using complex numbers to prove trigonometric identities.
Things like
![]()


Method 2 might be a little bit easier depending upon how your brain works.
My Year 12 Mathematics Methods students are doing continuous random variables at the moment and I thought it would be worthwhile deriving the mean and variance formulas for a uniform continuous random variable.
The probability density function for a uniform random variable is
![]()
and it looks like

Remember, the mean
or expected value
of a continuous random variable is
(1) ![]()
and the variance
is
(2) ![]()
We are going to use equations
and
to find formulae for a uniform continuous random variable.
![]()
![]()
![]()
Factorise the numerator (using difference of squares)
![]()
Hence,
![]()
Now for the variance
![]()
![]()
![]()
![]()
![]()
![]()
From the binomial expansion theorem, we know
![]()
Hence
![]()
and
![]()
My Year 11 Mathematics Methods students are working on the Binomial Expansion Theorem.
But before we get onto that, remember Pascal’s triangle

Now we can use combinations to find the numbers in each row. For example,
is ![]()
| Expression | Expansion | Co-efficients |
As you can see, the coefficients are the row of pascal’s triangle corresponding to the power. So
would have co-efficients from the sixth row of the table
.
To generalise

Which we can condense to
![]()
Expand ![]()
Find the co-efficient of the
term in the expansion of
.
Remember
, the
is when
Find the constant term in the expansion of ![]()
We need to find the term where the
‘s cancel out. Each term is
.
.
We need, hence
Therefore, the co-efficient is
If
, then find
.
My first thought was to solve for
, but it doesn’t factorise easily, and I didn’t want to find the fifth power of an expression involving surds
, there must be an easier way.
Because
, we can divide by ![]()
![]()
Hence
(1) ![]()
What is the expansion of
?
Using the binomial expansion theorem
![]()
![]()
Therefore
(2) ![]()
Let’s do it again for ![]()
![]()
(3) ![]()
Substitute
into ![]()
![]()
Remember ![]()
Therefore
![]()
![]()
This would be a good extension question for students learning the binomial expansion theorem. We also use this technique for trigonometric identities using complex numbers.
Filed under Algebra, Binomial Expansion Theorem, Puzzles