Integration by Parts, Tables, and Multivariable Calculus Study Guide
Integration by Parts
Integration by parts is a technique derived from the product rule for differentiation. Recall that the product rule is defined as (uv)′=u′v+uv′ or (f⋅g)′=f′⋅g+f⋅g′. By integrating both sides of this equation, we obtain ∫(uv)′dx=∫u′vdx+∫uv′dx. Solving for the integral of uv′, we arrive at the standard formula for Integration by Parts: ∫udv=uv−∫vdu. For differentiable functions u and v, this can also be expressed as ∫f(x)g′(x)dx=f(x)g(x)−∫f′(x)g(x)dx.
Consider the example of integrating ∫xexdx. To solve this, we define u=x and dv=exdx. This leads to du=1dx and v=ex. Applying the integration by parts formula gives x⋅ex−∫exdx. Evaluating the remaining integral results in xex−ex+C. This expression can be simplified by factoring to obtain ex(x−1)+C.
When choosing which parts of the integrand to assign to u and dv, two general guidelines are provided. First, choose dv to be the most complicated part of the integral that can be integrated easily. Second, choose u so that its derivative u′ is simpler than u itself. Specific patterns help in choosing these values for common integral forms. For integrals of the form ∫xneaxdx, choose u=xn and dv=eaxdx. For integrals of the form ∫xnln(x)dx, choose u=ln(x) and dv=xndx. For integrals of the form ∫(x+a)(x+b)ndx, choose u=x+a and dv=(x+b)ndx.
In practice problem #12, the integral ∫xln(x)dx is evaluated by setting u=ln(x) and dv=xdx. This yields du=x1dx and v=21x2. The solution is 21x2ln(x)−∫21x2⋅x1dx, which simplifies to 21x2ln(x)−21∫xdx, resulting in 21x2ln(x)−41x2+C. For practice problem #18, ∫(x+2)(x−5)5dx, we set u=x+2 and dv=(x−5)5dx, leading to du=1dx and v=61(x−5)6. The integration yields 61(x+2)(x−5)6−∫61(x−5)6dx, resulting in 61(x+2)(x−5)6−421(x−5)7+C. Practice problem #24 integrates ∫(x+1)e−3xdx. Setting u=x+1 and dv=e−3xdx results in du=1dx and v=−31e−3x. The solution is −31(x+1)e−3x−∫−31e−3xdx, which simplifies to −31(x+1)e−3x−91e−3x+C.
Practice problem #26 involves ∫(x+1)−1/2ln(x+1)dx. Let u=ln(x+1) and dv=(x+1)−1/2dx. Thus du=x+11dx and v=2(x+1)1/2. The calculation proceeds as 2(x+1)1/2ln(x+1)−∫2(x+1)1/2⋅x+11dx, which becomes 2x+1ln(x+1)−2∫(x+1)−1/2dx, resulting in 2x+1ln(x+1)−4(x+1)1/2+C, or simplified as 2x+1(ln(x+1)−2)+C. Problem #28 evaluates ∫xx+1dx. Setting u=x and dv=(x+1)1/2dx yields du=1dx and v=32(x+1)3/2. The solution is 32x(x+1)3/2−∫32(x+1)3/2dx, resulting in 32x(x+1)3/2−154(x+1)5/2+C.
Definite integrals can also be solved using these methods. Practice problem #42 evaluates ∫12xln(x)dx. Using the previous result for the indefinite integral, 21x2ln(x)−41x2, we evaluate from 1 to 2. This results in (21(2)2ln(2)−41(2)2)−(21(1)2ln(1)−41(1)2), which simplifies to (2ln(2)−1)−(0−41), resulting in a final answer of 2ln(2)−43.
Integration Using Tables
Standard integral tables, often found in the back of textbooks, provide formulas for complex integrands. The steps for using an integral table involve finding a formula that matches the integrand, identifying the constants such as a, b, c, and d, and finally using the formula to complete the integration.
In problem #8, the integral is ∫x2−2515dx. We identify the formula ∫x2−a21dx=2a1ln∣x+ax−a∣+C. Here, a=5. The calculation is 15×2(5)1ln∣x+5x−5∣+C, which simplifies to 1015ln∣x+5x−5∣+C or 23ln∣x+5x−5∣+C. Problem #21 (listed as #11 in some sources) evaluates ∫(x+1)(x+2)5dx. Using the formula ∫(ax+b)(cx+d)1dx=ad−bc1(ln∣ax+b∣−ln∣cx+d∣)+C, with a=1,b=1,c=1,d=2. The denominator constant becomes 2−1=1. The result is 5(ln∣x+2∣−ln∣x+1∣)+C, which can be written as 5ln∣x+2∣−5ln∣x+1∣+C.
Problem #18 involves the integral ∫4+z26dz. Utilizing formula #19 from the table, which fits the form ∫xa2+x2dx or ∫a2+x21dx. The transcript shows the formula application leading to 4+z2−2ln∣z2+4+z2∣+C. Problem #30 evaluates ∫9−e2t1dt. Let u=et and du=etdt. This transforms the integral to use formula #17: 2(3)1ln∣3−et3+et∣+C, resulting in 61ln∣3−et3+et∣+C. Problem #34 involves ∫x2x6+1dx. Let u=x3, then du=3x2dx. The integral becomes 31∫u2+1du, which matches formula #16.
Differential calculus and table usage are applied in real-world scenarios. In problem #67, the marginal cost for a manufacturer is given as MC(x)=x2+11 with fixed costs equal to 2000, meaning C(0)=2000. The cost function is the integral of the marginal cost: C(x)=∫x2+11dx. Using formula #18, we find C(x)=ln(x+x2+1)+K. Setting C(0)=2000, we have 2000=ln(0+02+1)+K, which simplifies to 2000=ln(1)+K. Since ln(1)=0, then K=2000. The final cost function is C(x)=ln(x+x2+1)+2000.
Partial Derivatives
A partial derivative is the derivative of a function of two or more variables with respect to one variable, while treating all other variables as constants. The partial derivative of f(x,y) with respect to x is defined by the limit: fx(x,y)=limh→0hf(x+h,y)−f(x,y). Similarly, the partial derivative with respect to y is defined as: fy(x,y)=limh→0hf(x,y+h)−f(x,y). Subscript notation is frequently used, where fx(x,y) denotes the partial derivative with respect to x and fy(x,y) denotes the partial derivative with respect to y.
For the function f(x,y)=2x3y5, the partial derivative with respect to x is found by treating y as a constant: fx(x,y)=2(3x2)y5=6x2y5. The partial derivative with respect to y is found by treating x as a constant: fy(x,y)=2x3(5y4)=10x3y4. In a more complex example, f(x,y)=2x4−7x3y2−xy+2y+5, the partials are calculated as follows: fx(x,y)=8x3−7y2(3x2)−y+0+0, which simplifies to 8x3−21x2y2−y. For the same function, fy(x,y)=0−7x3(2y)−x+2+0, which simplifies to −14x3y−x+2.
Consider the function involving an exponential: f(x,y)=ex3+y2. To find the partial derivatives, we use the rule dud(eu)=eu⋅u′. Thus, fx(x,y)=ex3+y2⋅3x2. Evaluating at the point (1,2), we get fx(1,2)=e13+22⋅3(1)2=3e5. For the partial with respect to y, fy(x,y)=ex3+y2⋅2y. Evaluating at the same point gives fy(1,2)=e13+22⋅2(2)=4e5.
Higher order partial derivatives involve taking subsequent derivatives. For f(x,y)=x3y4−e2y, the first partial with respect to x is fx=3x2y4. The second partial fxy (the derivative of fx with respect to y) is 3x2(4y3)=12x2y3. The first partial with respect to y is fy=4x3y3−2e2y. The derivative fyx (the derivative of fy with respect to x) is 4(3x2)y3=12x2y3. Note that fxy=fyx. Further derivatives, such as fyxx, involve differentiating fyx with respect to x again: fyxx=12(2x)y3=24xy3.
Optimizing Functions of Several Variables
Optimizing functions of several variables involves finding relative extrema. A function f(x,y) has a relative minimum value at (a,b) if the surface curves upward in all directions from that point. It has a relative maximum at (a,b) if the surface curves downward in all directions. A saddle point occurs at (a,b) if the function has a maximum in one direction and a minimum in another, meaning it is neither a relative maximum nor a relative minimum.
A critical point (a,b) is defined as a point where both first-order partial derivatives are zero: fx(a,b)=0 and fy(a,b)=0. Relative maximum and minimum values can occur only at these critical points.
To find the critical points for the function f(x,y)=2x2+y2+2xy+4x+2y+5, we first compute the partial derivatives and set them to zero. The derivative with respect to x is fx=4x+2y+4. Setting this to zero gives 4x+2y+4=0. The derivative with respect to y is fy=2y+2x+2. Setting this to zero gives 2(y+x+1)=0, which implies x+y+1=0 or y=−1−x. Substituting this expression for y into the first equation: 4x+2(−1−x)+4=0. This simplifies to 4x−2−2x+4=0, leading to 2x+2=0, or x=−1. Substituting x=−1 back into the expression for y gives y=−1−(−1)=0. Therefore, the critical point is (x,y)=(−1,0).