MAT.126
4.1 & 4.2

A function F is an antiderivative of f on an interval I if F'(x) = f(x) for all x in I.Note the use of the word "an" instead of "the".

If F is an antiderivative of f on an interval I, then G is an antiderivative of f on the interval I if and only if G is of the form G(x) = F(x) + C, for all x in I where C is a constant.

Given f(x) = 2x, the family of all antiderivatives of f is given by G(x) = x^2 + C.

The constant C is called the constant of integration.The family of functions represented by G is the general antiderivative of f.G(x) = x^2 + C is the general solution of the differential equation G'(x) = 2x, where a differential equation in x and y is an equation that involves x, y, and derivatives of y.

The operation of finding all solutions to an equation in differential form is called antidifferentiation.Given the differential equation dy/dx = f(x),multiplying both sides by dx gives the differential form of the equation, dy = f(x) dx.A synonym for antidifferentiation is indefinite integration.The notation y = S f(x) dx = F(x) + C, reads "y equals the antiderivative of f with respect to x, which is equal to the antiderivative of f(x) plus a constant of integration, C."

See the list on page 250 in the text.

A particular solution for a differential equation is one in which the constant of integration can be specifically determined.To find a particular solution, one must have both the general solution and the value of F(x) for one given value of x, sometimes called an initial condition (assuming you're dealing with a first order differential equation).

Sigma notation is a concise mathematical notation for sums.The sum of n terms a_1, a_2, a_3, . . ., a_n is written asE_{i=1}^n a_i = a_1 + a_2 + a_3 +...+ a_nwhere i is the index of summation, a_i is the ith term of the sum, and the upper and lower bounds of summation are n and 1.

See page 260 in the text.

Defined to be A = bh.

Can be found by creating a rectangle whose area is twice that of the triangle.

Break them up into triangles.

Limiting process by which the area is "squeezed" between an upper bound and a lower bound.

The second of the two classic problems from the origins of calculus.

Subdivide the interval [a,b] into n subintervals of equal size.Define an inscribed rectangle inside each subregion. The sum of these rectangles is called a lower sum.Define a circumscribed rectangle extending outside each subregion. The sum of these rectangles is called an upper sum.The area of the region lies somewhere between the lower sum and the upper sum. That is, the area has been bounded.A limiting process can be used to "squeeze" the value of the area exactly.

Subdivide the interval [a,b] into n subintervals each of width delta x = (b - a) / n.The endpoints of the intervals can be defined as x_i = a + i * delta x, where i is the sequence of integers from 0 to n.We take f to be continuous on [a,b]. Therefore the Extreme Value Theorem applies on the interval [a,b] as well as any subinterval of [a,b].From the Extreme Value Theorem we know each subinterval has a minimum, f(m_i), and a maximum, f(M_i).Define an inscribed rectangle inside each subregion of height f(m_i). The sum of these rectangles is called a lower sum, which we write as s(n)=E_{i=1}^n f(m_i) * delta x.Define a circumscribed rectangle extending outside each subregion of height f(M_i). The sum of these rectangles is called an upper sum, which we write as S(n)=E_{i=1}^n f(M_i) * delta x.Since we know the area of the region is bounded by the lower sum and the upper sum, we can writes(n) <= area of region <= S(n)

Let f be continuous and nonnegative on the interval [a,b]. The limits as n approaches infinity of both the lower and upper sums exist and are equal to each other.

Let f be continuous and nonnegative on the interval [a,b]. The area of the region bounded by the graph of f, the x-axis, and the vertical lines x=a and x=b isArea = lim_{n --> infinity} E_{i=1}^n f(c_i) * delta xwhere x_{i-1} <= c_i <= x_i and delta x = (b - a) / n.