Let λ* be the largest value of λ for which the function f λ(x) =4Ax³ -362x² +36x +48 is increasing for all Then, f*(1) + f*(-1) is equal to

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Published July 21, 2025
Mathematics
Calculus
Functions
Monotonicity
Quadratic Inequalities

Detailed Explanation

1. Why the derivative decides monotonicity

For a differentiable function f(x)f(x):

  • If f(x)>0f'(x)>0 for every real xx, the slope is always positive – so the function is strictly increasing.
  • If f(x)0f'(x)\ge 0 for every xx, the function is (non-strictly) increasing.

2. Take the derivative of the given family

The function is
fλ(x)=4λx336λx2+36x+48f_{\lambda}(x)=4\lambda x^{3}-36\lambda x^{2}+36x+48 Differentiate term-by-term:
fλ(x)=12λx272λx+36f'_{\lambda}(x)=12\lambda x^{2}-72\lambda x+36 Factor out the common 1212:
fλ(x)=12(λx26λx+3)f'_{\lambda}(x)=12\Big(\lambda x^{2}-6\lambda x+3\Big) (The factor 12 is always positive, so the sign of the derivative is controlled by the quadratic inside the brackets.)

3. For which λ\lambda is the quadratic non-negative for all xx?

A quadratic ax2+bx+cax^{2}+bx+c is 0\ge 0 for every real xx when

  • a>0a>0 (opens upward), and
  • its discriminant Δ=b24ac0\Delta=b^{2}-4ac\le 0 (so it never crosses the xx-axis).

Here:
a=λa=\lambda, b=6λb=-6\lambda, c=3c=3

  1. Upward opening
    λ>0\lambda>0 (downward opening can’t stay non-negative everywhere unless the parabola is flat).
  2. Discriminant condition
    Δ=(6λ)24(λ)(3)=36λ212λ0\Delta = (-6\lambda)^2 - 4(\lambda)(3) = 36\lambda^{2}-12\lambda \le 0
    Factor out 12λ12\lambda:
    12λ(3λ1)012\lambda\,(3\lambda-1)\le 0
    We already need λ0\lambda\ge 0, so the product is non-positive only when
    3λ10λ133\lambda-1\le 0\quad\Longrightarrow\quad \lambda\le\tfrac13

Thus the admissible range is
0λ130\le \lambda\le\tfrac13 The largest such value is
λ=13\boxed{\lambda^*=\tfrac13}

4. Evaluate fλ(1)+fλ(1)f_{\lambda^*}(1)+f_{\lambda^*}(-1)

Substitute λ=13\lambda^*=\tfrac13 back into fλ(x)f_{\lambda}(x): f1/3(x)=43x312x2+36x+48f_{1/3}(x)=\frac43x^{3}-12x^{2}+36x+48 Compute at x=1x=1:
f1/3(1)=4312+36+48=43+72=2203f_{1/3}(1)=\frac43-12+36+48=\frac{4}{3}+72=\frac{220}{3}

Compute at x=1x=-1:
f1/3(1)=43(1)12(1)36+48=431236+48=43f_{1/3}(-1)=\frac43(-1)-12(1)-36+48=-\frac43-12-36+48=-\frac43

Add them:
f1/3(1)+f1/3(1)=220343=2163=72f_{1/3}(1)+f_{1/3}(-1)=\frac{220}{3}-\frac{4}{3}=\frac{216}{3}=72

Hence the required value is
72\boxed{72}

Simple Explanation (ELI5)

🧒 Simple way to see the problem

  1. We have a family of curves that depend on a number λ\lambda (say LAMB-da).
  2. "Increasing everywhere" means that if you walk along the graph from left to right you never go downhill.
  3. To check that, grown-ups look at the derivative (it tells whether the curve is going up or down).
  4. We tune λ\lambda as high as possible but still make sure the derivative is never negative.
  5. After finding that best λ\lambda, we just plug x = 1 and x = –1 in the formula and add the two answers together.

The final number turns out to be 72.

Step-by-Step Solution

Step-by-step calculation

  1. Derivative:
    fλ(x)=12(λx26λx+3)f'_{\lambda}(x)=12\big(\lambda x^{2}-6\lambda x+3\big)
  2. Quadratic conditions:
    • Upward opening λ>0\Rightarrow \lambda>0
    • Discriminant 0\le 0:
      36λ212λ0    12λ(3λ1)036\lambda^{2}-12\lambda\le0 \;\Rightarrow\; 12\lambda(3\lambda-1)\le0
        0λ13\Rightarrow\; 0\le\lambda\le\tfrac13
  3. Largest value: λ=13\lambda^{*}=\tfrac13.
  4. Evaluate function:
    f1/3(x)=43x312x2+36x+48f_{1/3}(x)=\frac43x^{3}-12x^{2}+36x+48
    f1/3(1)=4312+36+48=2203f_{1/3}(1)=\frac{4}{3}-12+36+48=\frac{220}{3}
    f1/3(1)=43(1)1236+48=43f_{1/3}(-1)=\frac43(-1)-12-36+48=-\frac43
    f1/3(1)+f1/3(1)=220343=2163=72f_{1/3}(1)+f_{1/3}(-1)=\frac{220}{3}-\frac{4}{3}=\frac{216}{3}=72

Answer: 72

Examples

Example 1

Designing springs so that the restoring force F=kx (with fixed positive k) always points toward equilibrium – similar to keeping a derivative positive.

Example 2

Tuning gains in a feedback control system so the characteristic polynomial has no real positive roots – same discriminant tactic.

Example 3

Ensuring a profit function’s marginal profit is non-negative over the production range by choosing appropriate pricing parameters.

Visual Representation

References

  • [1]H.C. Verma – Concepts of Physics (Calculus appendix for monotonicity)
  • [2]I.A. Maron – Problems in Calculus of One Variable (Chapter on maxima, minima, monotonicity)
  • [3]Thomas' Calculus, 14th edition – Section on Increasing/Decreasing Functions
  • [4]JEE Main & Advanced Previous Years’ Questions – Calculus: Monotonicity and Parameter Based Problems

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