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A nonconstant complex polynomial tends to infinite modulus and attains a global minimum modulus
Statement
If is a nonconstant complex polynomial, then as , and attains a global minimum on . The conventions and prerequisite facts used below are recorded in Formal complex polynomials, evaluation, degree, leading coefficient, and monic polynomials, Conjugation laws, , multiplicativity of modulus, and the triangle inequality, Heine-Borel in : with the Euclidean metric a subset of is compact if and only if it is closed and bounded, and the proof by bisection uses no choice principle; the same holds on the real line, A continuous real-valued function on a nonempty compact metric space is bounded and attains a greatest and a least value, A vector-valued function has a limit, or is continuous, if and only if each of its components does; with the algebra of continuous vector-valued functions, Laws of finite sums and finite products.
Facts & Assumptions
Given: A nonconstant polynomial with .
A continuous real-valued function on a nonempty compact metric space is bounded and attains a greatest and a least value gives a minimum for a continuous real-valued function on a nonempty compact metric space.
A vector-valued function has a limit, or is continuous, if and only if each of its components does; with the algebra of continuous vector-valued functions makes a map into continuous exactly when its two components are continuous.
Proof
Put . For , [L1] gives Thus for the right side is at least , which tends to .
Writing , each coordinate projection is continuous because . The identity proves continuity of products, so induction over the finite expression makes both coordinate polynomials of continuous. Then [L4] makes and continuous.
Choose so that the lower bound of step 1.1 is when . The closed square is nonempty and compact by [L2]; outside one has . By [L3] and step 1.2, let minimize on .
Since , this minimizer satisfies . Step 2.1 makes every point outside have strictly larger modulus, so is a global minimizer.
Depends on
- Formal complex polynomials, evaluation, degree, leading coefficient, and monic polynomials
- Conjugation laws, $z\overline z=|z|^2$, multiplicativity of modulus, and the triangle inequality
- Heine-Borel in $\mathbb{R}^n$: with the Euclidean metric a subset of $\mathbb{R}^n$ is compact if and only if it is closed and bounded, and the proof by bisection uses no choice principle; the same holds on the real line
- A continuous real-valued function on a nonempty compact metric space is bounded and attains a greatest and a least value
- A vector-valued function has a limit, or is continuous, if and only if each of its components does; with the algebra of continuous vector-valued functions
- Laws of finite sums and finite products
Used by
Dependency tree · next 3 levels
Direct dependencies and their dependencies through the next three levels: 159 results over 26 levels. An arrow runs from a result to what uses it, and this result sits at the bottom with a heavier outline. Click the chart to enlarge it.
Sources
- J. Lebl, Basic Analysis I: The Fundamental Theorem of Algebra (standard reference, not scraped)