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How do we differentiate a relation that is not written as y=f(x)y = f(x), and how does the second derivative reveal concavity and points of inflection?

Implicit differentiation of relations defined by equations in xx and yy, the second derivative and its use to determine concavity and points of inflection, and the analysis of curves using first and second derivative information

A focused answer to the VCE Specialist Mathematics Unit 3 key-knowledge point on implicit differentiation and second derivatives. Differentiating relations in x and y, concavity, points of inflection, and curve analysis, with a verified worked example.

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  1. What this dot point is asking
  2. Implicit differentiation
  3. The second derivative and concavity
  4. Points of inflection
  5. Examples in context
  6. Try this

What this dot point is asking

VCAA wants you to differentiate relations given implicitly, such as x2+y2=25x^2 + y^2 = 25, where yy is not isolated, and to use the second derivative to determine concavity and locate points of inflection. These tools extend the differentiation of Methods to curves that are not functions and deepen curve sketching.

Implicit differentiation

When a curve is given by an equation linking xx and yy, such as x2+y2=25x^2 + y^2 = 25, we can find dydx\frac{dy}{dx} without solving for yy. Differentiate every term with respect to xx, remembering that yy depends on xx, so any function of yy needs the chain rule:

ddx[yn]=nyn1dydx,ddx[xy]=y+xdydx (product rule).\frac{d}{dx}[y^n] = n y^{n-1}\frac{dy}{dx}, \qquad \frac{d}{dx}[xy] = y + x\frac{dy}{dx}\ \text{(product rule)}.

After differentiating, collect the dydx\frac{dy}{dx} terms on one side and factor to solve for the gradient. The result is usually an expression in both xx and yy, which is fine: you supply a point on the curve to get a numeric gradient.

The second derivative and concavity

The second derivative d2ydx2\frac{d^2y}{dx^2} is the rate of change of the gradient. It tells you how the curve bends:

  • d2ydx2>0\frac{d^2y}{dx^2} > 0: the gradient is increasing, the curve is concave up (holds water).
  • d2ydx2<0\frac{d^2y}{dx^2} < 0: the gradient is decreasing, the curve is concave down.

The second derivative also classifies stationary points: at a stationary point where d2ydx2>0\frac{d^2y}{dx^2} > 0 there is a local minimum, and where d2ydx2<0\frac{d^2y}{dx^2} < 0 a local maximum. If d2ydx2=0\frac{d^2y}{dx^2} = 0 the test is inconclusive and you check the sign of the gradient on each side.

Points of inflection

A point of inflection is where concavity changes from up to down or vice versa. A necessary condition is d2ydx2=0\frac{d^2y}{dx^2} = 0, but that alone is not sufficient: the second derivative must actually change sign there. A point where d2ydx2=0\frac{d^2y}{dx^2} = 0 without a sign change is not an inflection. A stationary point of inflection has both dydx=0\frac{dy}{dx} = 0 and a change of concavity.

Examples in context

Example 1. For x2+xy+y2=7x^2 + xy + y^2 = 7, differentiating gives 2x+y+xdydx+2ydydx=02x + y + x\frac{dy}{dx} + 2y\frac{dy}{dx} = 0, so dydx=2x+yx+2y\frac{dy}{dx} = -\frac{2x + y}{x + 2y}.

Example 2. For y=x3y = x^3, d2ydx2=6x\frac{d^2y}{dx^2} = 6x, which changes sign at x=0x = 0, giving a stationary point of inflection at the origin.

Try this

Q1. Find dydx\frac{dy}{dx} for x2y2=9x^2 - y^2 = 9 by implicit differentiation. [2 marks]

  • Cue. 2x2ydydx=02x - 2y\frac{dy}{dx} = 0, so dydx=xy\frac{dy}{dx} = \frac{x}{y}.

Q2. State the concavity of y=exy = e^x everywhere. [1 mark]

  • Cue. d2ydx2=ex>0\frac{d^2y}{dx^2} = e^x > 0, so concave up everywhere.

Q3. Find any points of inflection of y=x33xy = x^3 - 3x. [3 marks]

  • Cue. d2ydx2=6x=0\frac{d^2y}{dx^2} = 6x = 0 at x=0x = 0, sign changes, so inflection at (0,0)(0, 0).