Numerical Approximation

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GRE Quantitative Reasoning › Numerical Approximation

Questions 1 - 10
1

Solve the integral

using Simpson's rule with subintervals.

Explanation

Simpson's rule is solved using the formula

where is the number of subintervals and is the function evaluated at the midpoint.

For this problem, .

The value of each approximation term is below.

Screen shot 2015 06 11 at 9.35.58 pm

The sum of all the approximation terms is therefore

2

Solve the integral

using Simpson's rule with subintervals.

Explanation

Simpson's rule is solved using the formula

where is the number of subintervals and is the function evaluated at the midpoint.

For this problem, .

The value of each approximation term is below.

Screen shot 2015 06 11 at 9.35.58 pm

The sum of all the approximation terms is therefore

3

Solve the integral

using Simpson's rule with subintervals.

Explanation

Simpson's rule is solved using the formula

where is the number of subintervals and is the function evaluated at the midpoint.

For this problem, .

The value of each approximation term is below.

Screen shot 2015 06 11 at 9.35.58 pm

The sum of all the approximation terms is therefore

4

Solve the integral

using the trapezoidal approximation with subintervals.

Explanation

Trapezoidal approximations are solved using the formula

where is the number of subintervals and is the function evaluated at the midpoint.

For this problem, .

The value of each approximation term is below.

Screen shot 2015 06 11 at 8.55.34 pm

The sum of all the approximation terms is , therefore

5

Solve the integral

using the trapezoidal approximation with subintervals.

Explanation

Trapezoidal approximations are solved using the formula

where is the number of subintervals and is the function evaluated at the midpoint.

For this problem, .

The value of each approximation term is below.

Screen shot 2015 06 11 at 8.55.34 pm

The sum of all the approximation terms is , therefore

6

Solve the integral

using the trapezoidal approximation with subintervals.

Explanation

Trapezoidal approximations are solved using the formula

where is the number of subintervals and is the function evaluated at the midpoint.

For this problem, .

The value of each approximation term is below.

Screen shot 2015 06 11 at 8.55.34 pm

The sum of all the approximation terms is , therefore

7

For which values of p is

convergent?

only

All positive values of

it doesn't converge for any values of

Explanation

We can solve this problem quite simply with the integral test. We know that if

converges, then our series converges.

We can rewrite the integral as

and then use our formula for the antiderivative of power functions to get that the integral equals

.

We know that this only goes to zero if . Subtracting p from both sides, we get

.

8

For which values of p is

convergent?

only

All positive values of

it doesn't converge for any values of

Explanation

We can solve this problem quite simply with the integral test. We know that if

converges, then our series converges.

We can rewrite the integral as

and then use our formula for the antiderivative of power functions to get that the integral equals

.

We know that this only goes to zero if . Subtracting p from both sides, we get

.

9

For which values of p is

convergent?

only

All positive values of

it doesn't converge for any values of

Explanation

We can solve this problem quite simply with the integral test. We know that if

converges, then our series converges.

We can rewrite the integral as

and then use our formula for the antiderivative of power functions to get that the integral equals

.

We know that this only goes to zero if . Subtracting p from both sides, we get

.

10

Solve the integral

using the trapezoidal approximation with subintervals.

Explanation

Trapezoidal approximations are solved using the formula

where is the number of subintervals and is the function evaluated at the midpoint.

For this problem, .

The value of each approximation term is below.

Screen shot 2015 06 11 at 8.19.15 pm

The sum of all the approximation terms is , therefore

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