Partial fractions with repeated factor

Partial fractions with repeated factor

Find the partial fraction decomposition:

Solution

(1) Check that denominator degree is lower.


(2) Factor denominator:

Rational Roots Theorem: check for roots at and and .

Discover that is a root. Therefore divide by :

Factor again:

Final factored form:


(3) Write the generic PFD:


(4) Solve for , , and :

Multiply across by the common denominator:

For , set , obtain:

For , set , obtain:

For , insert prior results and solve.

Plug in and :

Now plug in another convenient , say :


(4) Plug in , , for the final answer:

Link to original

Partial fractions - repeated quadratic, linear tops

Partial fractions - repeated quadratic, linear tops

Compute the integral:

Solution

(1) Partial fraction decomposition:

  • Numerator degree is lower than denominator.
  • Factor denominator completely. (No real roots.)

Write generic PFD:

  • Notice: repeated factor: use incrementing powers up to 2.
  • Notice: linear over quadratic.

Common denominators and solve:

Therefore:


(2) Integrate:

Integrate the first term using substitution :

Break up the second term:

Integrate the first term of RHS:

Integrate the second term of RHS using :

Link to original

“Rationalize a quotient” - convert into PFD

Extra - “Rationalize a quotient” - convert into PFD

Sometimes an integrand may be converted to a rational function using a substitution.

Consider this integral:

Set , so and :

Now this rational function has a partial fraction decomposition:

It is easy to integrate from there!

Practice exercises:

  • To compute , try the substitution .
  • To compute , try the substitution .
  • To compute , try the substitution .
Link to original

Simpson’s Rule on the Gaussian distribution

Simpson’s Rule on the Gaussian distribution

The function is very important for probability and statistics, but it cannot be integrated analytically.

Apply Simpson’s Rule to approximate the integral:

with and . What error bound is guaranteed for this approximation?

Solution

(1) We need a table of values of and :

These can be plugged into the Simpson Rule formula to obtain our desired approximation:

To find the error bound we need to find the smallest number we can manage for .

Take four derivatives and simplify:

On the interval , this function is maximized at . Use that for the optimal :

Finally we plug this into the error bound formula:

Link to original