Problems involving rate functions (like velocity or growth rates) require setting up and solving differential equations by separating variables, using initial conditions, and finding particular solutions to model real-world situations.
Modeling with Rate Functions involves analyzing the behavior of functions representing changing rates to solve complex problems in contexts such as motion and growth.
Riemann sums estimate the area under a curve by dividing a region into rectangles and summing their areas, with height determined by evaluating the function at left endpoints, right endpoints, or midpoints.
Functions, their derivatives, and second derivatives are analyzed together to understand relationships between their values, slopes, concavity, and key features like maximum/minimum points and inflection points.
The position, velocity, and acceleration of a moving particle can be analyzed using derivatives and integrals, with positive/negative signs indicating direction of motion and points of inflection revealing key changes in behavior.
A slope field is a visual representation showing the slope of a differential equation's solution curves at many points in the plane, with each small line segment indicating the direction a solution curve would follow through that point.
Slope fields and differential equations encompass techniques like Euler's method, logistic growth models, and integration approaches to analyze and solve first-order differential equations graphically and analytically.
Area and volume can be calculated for regions and solids by integrating cross-sectional slices, shells, or layers, including scenarios with known cross sections and those formed by rotating functions around axes.
Arc length and surface area of revolving functions can be found using formulas involving integrals with square roots, while work and differential equations related to force use advanced integration techniques.
Topics include advanced concepts such as series convergence tests, power series representations, and using Taylor and Maclaurin series for function approximations.
Taylor polynomials and Maclaurin series provide approximations for functions near a given point using calculated derivatives, helping to represent complex functions algebraically for analysis and solution derivation.
A continuous function has no gaps, jumps, or holes in its graph, while a differentiable function must be both continuous and have a defined derivative (slope) at every point.