Linear Approximation - Calculus 1
- The position of a particle along the x-axis is given by . Use the tangent line at to approximate the position of the particle at . Answer: This question tests linear approximation using tangent lines, a fundamental application of derivatives. When you need to estimate a function value near a known point, the tangent line provides the best linear approximation. To find the tangent line at , you need both the function value and the derivative at that point. First, find . Next, find the derivative: . At : . The tangent line equation is . For : . This confirms answer C is correct. Answer A uses instead of , which would come from incorrectly evaluating as rather than . Answer B has the wrong denominator in the linear term (40 instead of 80), likely from forgetting to multiply by the change in (0.1). Answer D has the correct calculation but wrong sign, suggesting a sign error when computing the tangent line. Remember: linear approximation problems always follow the pattern . Double-check your trigonometric values and arithmetic carefully.
- Let , where is a differentiable function with and . Use a linear approximation centered at to estimate the value of . Answer: The linear approximation of at is . First, we find . Next, we find the derivative using the chain rule: . At , the slope is . Now we can approximate : .
- The linear approximation for a differentiable function at is given by the line . If it is also known that , what is the value of ? Answer: The tangent line at must pass through the point of tangency . This means that . We are given the equation for and the value of . Substituting into the equation for gives . Setting this equal to , we get the equation . To solve for , we subtract 3 from both sides: , which simplifies to . Multiplying both sides by gives .
- Let be the linearization of the function at . When using to approximate the value of , is the approximation an overestimate or an underestimate, and why? Answer: An underestimate, because the graph of is concave up at . The relationship between a linear approximation and the actual function value is determined by the function's concavity at the point of tangency. To find the concavity of at , we examine the second derivative. The first derivative is . The second derivative is . At , . Since , the graph of is concave up at . For a concave up function, the tangent line lies below the curve, which means the linear approximation will be an underestimate of the actual function value.
- Let be the linear approximation of the function at . Which of the following is the value of ? Answer: The linear approximation of at is . First, find . Next, find the derivative using the product rule: . Evaluate the derivative at : . Now, assemble the approximation for : .
- The side length of a cube is measured to be cm with a possible measurement error of cm. Use differentials to estimate the maximum possible relative error in calculating the volume of the cube. Answer: The volume of a cube is . The relative error in the volume is , which can be approximated by the differential ratio . The differential is given by . Therefore, the relative error is . We are given the side length cm and the error in the side length cm. Plugging these values in, the relative error is . The maximum possible relative error is the magnitude of this value, .
- The volume of a spherical balloon is increasing. A linear approximation is used to estimate the increase in volume as the radius increases from cm to cm. Which of the following is the best estimate for the increase in volume? (The volume of a sphere is .) Answer: cm The increase in volume can be approximated by the differential . The formula is . First, we find the derivative of the volume function , which is . We are using a linear approximation centered at cm, so we evaluate the derivative at this point: . The change in radius is cm. The approximate increase in volume is cm.
- The function has a local linear approximation at given by . Let . Which of the following is the local linear approximation for at ? Answer: When you encounter a problem asking for the linear approximation of a composite function like , you need to use the chain rule along with the given linear approximation. From the given information, tells us that and . To find the linear approximation of at , you need and . First, . Next, using the chain rule: , so . Therefore, the linear approximation is . Looking at the wrong answers: Choice A gives , which incorrectly uses instead of , and also miscalculates the derivative. Choice B gives , which correctly finds but incorrectly computes , forgetting to multiply by in the chain rule. Choice D gives , which correctly finds the derivative but uses instead of squaring it. Study tip: When finding linear approximations of composite functions, always apply the chain rule carefully to find the derivative, and don't forget that the constant term comes from evaluating the original function, not its derivative.
- Let and let be the inverse function of . Use a linear approximation to estimate the value of . Answer: We need to find a linear approximation for near . First, we find a convenient point for our approximation. By inspection, . This means . We will center our approximation at . The linearization of at is . We need the derivative of the inverse function, . The derivative of is . So, . Therefore, . The approximation is .
- A curve is defined by the equation . Use the tangent line to the curve at the point to approximate the y-coordinate of a point on the curve with x-coordinate . Answer: First, we find the slope of the tangent line at using implicit differentiation on . Differentiating with respect to gives . Solving for yields . At the point , the slope is . The equation of the tangent line (the linearization) at is . To approximate the y-coordinate at , we evaluate .