Unit 4 Summary
Symbolic Derivatives
I can …
- Find the derivative of \(x^n\), \(\sin(x)\), \(\cos(x)\), \(e^x\), \(a^x\), \(\ln(x)\), and \(\log_a(x)\).
- Find the derivative …
- of the sum of two functions
- using the product rule
- using the quotient rule
- using the chain rule
- Explain why the derivative is not defined for a cusp point.
- Solve a “word problem” about rates of change by using derivatives.
Partial Derivatives
I can …
- Interpret the partial derivatives \(\frac{\partial f}{\partial x}\) and \(\frac{\partial f}{\partial y}\) as rates of change.
- Find the partial derivatives of a function \(f(x,y)\) by holding one variable fixed and then applying the rules of differentiation.
- Find the second partial derivatives \(f_{xx}, f_{xy}, f_{yx}, f_{yy}\).
- Solve a “word problem” about rates of change of a multivariable function using partial derivatives.
The Gradient
I can …
- Explain what a vector \(\langle a, b \rangle\) is, draw it as an arrrow, and find its magnitude \(\| \langle a, b \rangle \| = \sqrt{a^2+b^2}.\)
- Find the gradient vector \(\nabla f(x,y) = \langle f_x, f_y \rangle\)
- Evaluate the gradient vector at a point \((a,b)\)
- Use the gradient to find the direction of greatest increase, and the magnitude of the gradient to find the rate of change (slope) in that direction
- Draw a vector in the direction of greatest increase on a contour diagram.