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Year 11 Methods (Unit 1 & 2) Differentiation Of Polynomials

When Is A Function Differentiable?

20 practice questions 1 video lesson Theory + worked examples

Understand when a function is differentiable for Queensland Year 11 Mathematical Methods (QCAA). A function is differentiable wherever its graph is smooth with a single, finite tangent gradient, and it fails at corners, cusps, vertical tangents and breaks.

You will learn to spot where a curve is not differentiable, check that a piecewise function joins smoothly, and see why every differentiable function is continuous, though not every continuous function is differentiable.

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Theory

In Year 11 Mathematical Methods (QCAA, Unit 2), a function is differentiable at a point when its graph is smooth there — it has a single, finite tangent gradient. It is not differentiable at a sharp corner, a cusp, a vertical tangent or a discontinuity. Smooth polynomials are differentiable everywhere.

A function is differentiable at \(x=a\) when the graph is smooth there: zooming in, it looks like a single straight line, so there is one finite tangent gradient \(f'(a)\).

Differentiability fails where that single gradient does not exist: at a sharp corner (like \(y=|x|\) at \(0\), where the left and right slopes differ), a cusp (like \(y=x^{2/3}\)), a vertical tangent (like \(y=x^{1/3}\)), or a discontinuity (a jump or hole).

There is a one-way link: differentiable \(\Rightarrow\) continuous, but continuous does not imply differentiable — \(y=|x|\) is continuous everywhere yet not differentiable at \(0\).

Smooth means one tangent. A polynomial is smooth for every \(x\), so it is differentiable everywhere; look for corners, cusps or breaks to find where a graph is not.
A sharp corner is not differentiableGraph of y equals the absolute value of x with a sharp corner at the origin; the left slope is minus 1 and the right slope is plus 1, so there is no single tangent gradient. x y
A sharp corner: \(y=|x|\) has slope \(-1\) then \(+1\), so no single tangent at \(0\).
A cusp is not differentiableGraph of y equals the cube root of x squared with a cusp at the origin; the tangent becomes vertical, so the gradient does not exist there. x y
A cusp: \(y=x^{2/3}\) has a vertical tangent at \(0\), so \(f'(0)\) does not exist.

Differentiable at \(a\) means the one-sided gradients agree with one finite value:

\[\lim_{h\to0^-}\dfrac{f(a+h)-f(a)}{h}=\lim_{h\to0^+}\dfrac{f(a+h)-f(a)}{h}\]
limh0-f(a+h)-f(a)h=limh0+f(a+h)-f(a)h

The one-way implication (its contrapositive is a quick test):

\[\text{differentiable}\ \Rightarrow\ \text{continuous}\quad(\text{but not the reverse})\]
differentiablecontinuous
Piecewise test at a join: differentiable there needs both continuity (pieces meet) and equal one-sided gradients.

Deciding if a function is differentiable at \(x=a\)

  1. Continuous? If there is a jump or hole at \(a\), it is not differentiable there — stop.
  2. Smooth? Check for a corner, cusp or vertical tangent; any of these means no single gradient.
  3. Match the gradients: for a piecewise rule, differentiate each branch and compare the one-sided gradients at \(a\).
  4. Conclude: differentiable at \(a\) only when it is continuous there and the one-sided gradients are equal.
Example 1 — A smooth polynomial
Is \(f(x)=x^2-3x\) differentiable at \(x=1\)? If so, give \(f'(1)\).
Solution

Polynomials are smooth everywhere, so differentiate:

\(f'(x)\)\(=\)\(2x-3\)

Evaluate the single tangent gradient at \(x=1\):

\(f'(1)\)\(=\)\(2(1)-3\)
\(=\)\(-1\)

Yes — \(f\) is differentiable at \(x=1\), with \(f'(1)=-1\).

A smooth polynomial is differentiable everywhereParabola y equals x squared minus 3x with a single tangent at x=1 of gradient minus 1. x y
f(1)=-1
Example 2 — A sharp corner
Is \(f(x)=|x-2|\) differentiable at \(x=2\)?
Solution

Left of \(x=2\) the graph is \(y=-(x-2)=2-x\); right of it \(y=x-2\).

\(\text{slope (left)}\)\(=\)\(-1\)
\(\text{slope (right)}\)\(=\)\(+1\)

The function is continuous at \(x=2\) (both pieces give \(0\)), but the left and right gradients disagree, so there is a sharp corner and no single tangent.

No — \(f(x)=|x-2|\) has a corner at \(x=2\), so it is not differentiable there.

The corner of y equals absolute value of x minus 2V-shaped graph with a corner at x=2; the left gradient is minus 1 and the right gradient is plus 1, so it is not differentiable at x=2. x y
not differentiable at x=2
Example 3 — A piecewise join
Is \(f(x)=\begin{cases}x^3,&x\le1\\3x-2,&x>1\end{cases}\) differentiable at \(x=1\)?
Solution

Continuous? Compare the pieces at \(x=1\):

\(x^3\big|_{x=1}\)\(=\)\(1\)
\((3x-2)\big|_{x=1}\)\(=\)\(3(1)-2=1\)

Both give \(1\), so \(f\) is continuous at \(x=1\).

Gradients — differentiate each branch and compare at \(x=1\):

\(\text{left: }\dfrac{d}{dx}x^3\)\(=\)\(3x^2\big|_{x=1}=3\)
\(\text{right: }\dfrac{d}{dx}(3x-2)\)\(=\)\(3\)

The one-sided gradients are both \(3\).

Yes — continuous and equal gradients (\(3\)), so \(f\) is differentiable at \(x=1\).

A smooth piecewise joinCubic branch for x at most 1 joining the line 3x minus 2 for x greater than 1; the branches meet with equal gradients at x=1, so it is differentiable there. x y
f(1)=3
Example 4 — Choosing values for a smooth join
Find \(a\) and \(b\) so that \(f(x)=\begin{cases}x^2,&x\le1\\ax+b,&x>1\end{cases}\) is differentiable at \(x=1\).
Solution

Match gradients — differentiate each branch at \(x=1\):

\(\text{left: }\dfrac{d}{dx}x^2\)\(=\)\(2x\big|_{x=1}=2\)
\(\text{right: }\dfrac{d}{dx}(ax+b)\)\(=\)\(a\)

Equal gradients require \(a=2\).

Match values (continuity) at \(x=1\), with \(a=2\):

\((1)^2\)\(=\)\(a(1)+b\)
\(1\)\(=\)\(2+b\)
\(b\)\(=\)\(-1\)

\(a=2,\ b=-1\): then \(f\) is continuous with equal gradients, so differentiable at \(x=1\).

Choosing a and b for a smooth joinParabola branch for x at most 1 joining the line 2x minus 1 for x greater than 1; with a=2 and b=minus 1 the join is smooth and differentiable at x=1. x y
a=2,b=-1

Common pitfalls

Thinking continuous means differentiable. \(y=|x|\) is continuous everywhere but not differentiable at \(0\). Smoothness is the stronger condition.
Checking only the values at a join. Matching values gives continuity; differentiability also needs the one-sided gradients to match.
Missing a vertical tangent or cusp. At \(y=x^{1/3}\) or \(y=x^{2/3}\) the tangent is vertical or turns sharply, so \(f'(0)\) does not exist even though the graph is unbroken.
Forgetting a discontinuity blocks it. A jump or hole at \(a\) means not continuous, hence not differentiable there.

Frequently asked questions

When is a function differentiable at a point?

When its graph is smooth there — it has a single, finite tangent gradient. That requires it to be continuous and to have equal one-sided gradients.

Where is a function not differentiable?

At a sharp corner, a cusp, a vertical tangent, or a discontinuity (a jump or hole) — anywhere a single tangent gradient fails to exist.

Does continuous mean differentiable?

No. Differentiable implies continuous, but not the reverse: \(y=|x|\) is continuous everywhere yet not differentiable at \(0\).

Is a polynomial differentiable everywhere?

Yes. Polynomials (and power functions with whole-number powers) are smooth for every \(x\), so they are differentiable everywhere.

How do you check differentiability at the join of a piecewise function?

Check it is continuous (the pieces meet), then differentiate each branch and check the one-sided gradients are equal at the join.