If x−rx - r is a factor of the polynomial
f(x)=anxn+…+a0,f(x) = a_n x^n + \ldots + a_0,
repeated mm times (1<m≤n)(1 < m \leq n), then rr is a root of f′(x)=0f'(x) = 0 repeated mm times.

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Published July 22, 2025
Mathematics
Algebra
Polynomials
Calculus
Derivatives

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Detailed Explanation

Key concepts you must know

  1. Multiplicity (order) of a root
    If (x−r)m(x-r)^m divides f(x)f(x) but (x−r)m+1(x-r)^{m+1} does not, then we say rr is a root of multiplicity mm.

  2. Product rule for derivatives
    If u(x)u(x) and v(x)v(x) are functions,
    (u v)′=u′v+uv′.\big(u\,v\big)' = u'v + uv'.

  3. Why one power drops after differentiating
    Differentiating (x−r)m(x-r)^m gives
    ddx(x−r)m=m(x−r)m−1,\frac{d}{dx}(x-r)^m = m(x-r)^{m-1},
    which clearly contains only (x−r)m−1(x-r)^{m-1}.

Logical chain of thought to tackle the proof

  1. Factor the polynomial completely:
    f(x)=(x−r)mg(x),g(r)≠0.f(x) = (x-r)^m g(x), \qquad g(r)\neq0.
  2. Differentiate using product rule:
    f′(x)=((x−r)m)′g(x)+(x−r)mg′(x).f'(x) = \big((x-r)^m\big)'g(x) + (x-r)^m g'(x).
  3. Compute each derivative:
    ((x−r)m)′=m(x−r)m−1,\big((x-r)^m\big)' = m(x-r)^{m-1},
    so
    f′(x)=m(x−r)m−1g(x)+(x−r)mg′(x).f'(x) = m(x-r)^{m-1}g(x) + (x-r)^m g'(x).
  4. Factor out the highest common power of (x−r)(x-r):
    f′(x)=(x−r)m−1[ m g(x)+(x−r)g′(x)].f'(x) = (x-r)^{m-1}\Big[\,m\,g(x) + (x-r)g'(x)\Big].
  5. Check the bracket at x=rx=r:
    At x=rx=r, the term (x−r)(x-r) inside the big bracket is 00, so only the m g(r)m\,g(r) part remains, and g(r)≠0g(r)\neq0. Therefore the bracket is not zero at x=rx=r.
  6. Conclusion: (x−r)m−1(x-r)^{m-1} divides f′(x)f'(x) but (x−r)m(x-r)^m does not.
    Hence rr is a root of f′(x)=0f'(x)=0 of multiplicity m−1m-1.

So the statement in the prompt is slightly inaccurate; the correct multiplicity is m−1m-1, not mm (for m>1m>1).

Simple Explanation (ELI5)

What is the question?

We have a polynomial f(x)f(x) and it contains the same bracket (x−r)(x-r) many times.
If it appears mm times, we write
f(x)=(x−r)m×g(x)f(x) = (x-r)^m \times g(x)
where g(x)g(x) is just the ‘left-over’ part (and g(r)≠0g(r)\neq0 because all the (x−r)(x-r) factors are already shown).

Now the question says “then rr is a root of f′(x)=0f'(x)=0 repeated mm times.”
In plain words: "Does (x−r)m(x-r)^m also divide the derivative?"

Big idea (child-friendly)

Imagine f(x)f(x) is like a stack of mm identical Lego blocks labelled (x−r)(x-r).
When you take the slope (derivative), one Lego block always breaks off, so you usually end up with m−1m-1 blocks of (x−r)(x-r) in f′(x)f'(x).
So rr is a root of the derivative, but only m−1m-1 times, not mm times.

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Step-by-Step Solution

Complete Proof (step-by-step, basic English)

We start with the given information:

f(x)=anxn+⋯+a0f(x)=a_nx^n+\dots+a_0

and (x−r)(x-r) is repeated mm times as a factor.

So we can write

f(x)=(x−r)mg(x),  where g(x) is a polynomial and g(r)≠0.f(x)=(x-r)^m g(x), \; \text{where } g(x) \text{ is a polynomial and } g(r)\neq0.

  1. Differentiate using the product rule:
f′(x)=((x−r)m)′ g(x)+(x−r)m g′(x)=m(x−r)m−1g(x)+(x−r)mg′(x).\begin{aligned} f'(x) &=\big((x-r)^m\big)'\,g(x) + (x-r)^m\,g'(x)\\[4pt] &= m(x-r)^{m-1}g(x) + (x-r)^m g'(x). \end{aligned}
  1. Factor out the common (x−r)m−1(x-r)^{m-1}:
f′(x)=(x−r)m−1[ m g(x)+(x−r)g′(x)].\boxed{f'(x)= (x-r)^{m-1}\Big[\, m\,g(x) + (x-r)g'(x) \Big]}.
  1. Check the bracket at x=rx=r:

[ m g(r)+(r−r)g′(r)]=m g(r)≠0(because g(r)≠0).\Big[\, m\,g(r) + (r-r)g'(r) \Big]=m\,g(r) \neq 0\quad \text{(because } g(r)\neq0\text{)}.

Therefore (x−r)m−1(x-r)^{m-1} is the highest power of (x−r)(x-r) dividing f′(x)f'(x).

  1. Final result: rr is a root of f′(x)=0f'(x)=0 of multiplicity m−1m-1.

So the correct statement is:

If (x−r)(x-r) appears mm times in f(x)f(x) with m>1m>1, then (x−r)(x-r) appears m−1m-1 times in f′(x)f'(x).

(Only when m=1m=1 does the root generally disappear entirely in the derivative.)

Examples

Example 1

Vibrations: A mechanical system with repeated natural frequency roots loses one order when analysing velocity (derivative of displacement).

Example 2

Optics: Repeated refractive index roots in a polynomial model reduce order when studying rate of change of phase.

Example 3

Control systems: Multiple poles at s=r in transfer function reduce by one order in the derivative (sensitivity analysis).

Visual Representation

References

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