How Do You Prove a Point is Critical When a Function is Non-Negative Nearby?

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SUMMARY

To prove that $\mathbf{x}_0$ is a critical point of the differentiable function $f : \Bbb R^n \to \Bbb R$ under the conditions that $f(\mathbf{x}_0) = 0$ and $f(\mathbf{x}) \ge 0$ in an open neighborhood $V$, we utilize the properties of differentiability and the definition of critical points. By applying the first derivative test, we establish that the gradient $\nabla f(\mathbf{x}_0)$ must equal zero, confirming that $\mathbf{x}_0$ is indeed a critical point of $f$. This conclusion is drawn from the fundamental theorem of calculus and the behavior of non-negative functions in the vicinity of their zeros.

PREREQUISITES
  • Differentiable functions in multivariable calculus
  • Understanding of critical points and gradients
  • Knowledge of the first derivative test
  • Familiarity with open neighborhoods in $\Bbb R^n$
NEXT STEPS
  • Study the properties of differentiable functions in $\Bbb R^n$
  • Learn about the first derivative test for critical points
  • Explore the implications of the Mean Value Theorem in multiple dimensions
  • Investigate the behavior of non-negative functions and their critical points
USEFUL FOR

Mathematicians, calculus students, and anyone studying optimization and critical points in multivariable functions.

Euge
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Here is this week's POTW:

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Let $f : \Bbb R^n \to \Bbb R$ be differentiable at $\mathbf{x}_0$. If $f(\mathbf{x}_0) = 0$ and $\mathbf{x}_0$ has an open neighborhood $V \subset \Bbb R^n$ such that $f(\mathbf{x}) \ge 0$ for all $\mathbf{x}\in V$, prove that $\mathbf{x}_0$ is a critical point of $f$, i.e., $\nabla f(\mathbf{x}_0) = \mathbf{0}$.

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No one answered this POTW. You can read my solution below.

Fix $i\in \{1,\ldots, n\}$. If $h$ is a sufficiently small positive number such that $\mathbf{x}_0 \pm h\mathbf{e}_i\in V$, then $0 \le f(\mathbf{x}_0 \pm h\mathbf{e}_i) = f(\mathbf{x}_0) \pm h\partial_if(\mathbf{x}_0) + o(h) = \pm h\partial_i f(\mathbf{x}_0) + o(h)$ so that $-o(h) \le \partial_i f(\mathbf{x}_0) h \le o(h)$ or $-\frac{o(h)}{h} \le \partial_i f(\mathbf{x}_0) \le \frac{o(h)}{h}$. Letting $h \to 0$ results in $\partial_i f(\mathbf{x}_0) = 0$.
 

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