Ma · Mathematics

What Is the Supremum of the Negative of a Function?

Published By the 9to5Science editorial team

At a glance

  1. 1. Check the range

    Consider the set of function values and make sure it is nonempty.

  2. 2. Find the infimum

    Determine the greatest lower bound of the original function values.

  3. 3. Negate the bound

    The supremum of the negated values is the negative of that infimum.

  4. 4. Check attainment

    A supremum need not be a maximum; check whether the infimum is attained.

If you negate every value of a function, its upper and lower bounds switch roles. In particular, the supremum of the negative function is determined by the infimum of the original function—not, in general, by its supremum.

Let AA be a nonempty domain and let f:A→Rf:A\to\mathbb{R}. If the range of ff is bounded below, then

sup⁡x∈A(−f(x))=−inf⁡x∈Af(x).\sup_{x\in A}(-f(x))=-\inf_{x\in A}f(x).

This says nothing by itself about whether either bound is achieved. A supremum can exist even when no input gives that value.

Why negation swaps supremum and infimum

Write S={f(x):x∈A}S=\{f(x):x\in A\}. Suppose SS is nonempty and bounded below, and let m=inf⁡Sm=\inf S. By definition, mm is the greatest lower bound of SS.

Since m≤f(x)m\leq f(x) for every x∈Ax\in A, reversing the inequality when multiplying by −1-1 gives

−f(x)≤−m.-f(x)\leq -m.

Thus −m-m is an upper bound for the negated values −S={−s:s∈S}-S=\{-s:s\in S\}. To see that it is the least upper bound, let UU be any upper bound for −S-S. Then −s≤U-s\leq U for every s∈Ss\in S, so −U≤s-U\leq s for every s∈Ss\in S. That makes −U-U a lower bound for SS. Because mm is the greatest lower bound, −U≤m-U\leq m, or equivalently −m≤U-m\leq U. Every upper bound UU is therefore at least −m-m, proving that sup⁡(−S)=−m\sup(-S)=-m.

The same fact is often written as

sup⁡x∈A(−f(x))=−inf⁡x∈Af(x),inf⁡x∈A(−f(x))=−sup⁡x∈Af(x),\sup_{x\in A}(-f(x))=-\inf_{x\in A}f(x), \qquad \inf_{x\in A}(-f(x))=-\sup_{x\in A}f(x),

provided the relevant bounds are finite. Negation reverses the order, so it interchanges the roles of infimum and supremum.

Worked example: the supremum is not attained

Take f(x)=xf(x)=x on the open interval A=(0,1)A=(0,1). The values of ff are positive and can be arbitrarily close to 00, so

inf⁡x∈(0,1)f(x)=0.\inf_{x\in(0,1)} f(x)=0.

The infimum is not a minimum: there is no x∈(0,1)x\in(0,1) with f(x)=0f(x)=0. Negating the function gives −f(x)=−x-f(x)=-x, whose values lie in (−1,0)(-1,0). They can be arbitrarily close to 00 from below, and no value equals 00. Therefore,

sup⁡x∈(0,1)(−f(x))=0=−inf⁡x∈(0,1)f(x),\sup_{x\in(0,1)}(-f(x))=0=-\inf_{x\in(0,1)}f(x),

but −f-f has no maximum on this domain. This illustrates the distinction between a supremum, which is a least upper bound, and a maximum, which must be one of the values.

If instead the domain were [0,1][0,1], then ff would attain its infimum at x=0x=0, and −f-f would attain its supremum there. Changing an endpoint can change whether the bound is attained without changing the underlying sign rule.

What if the function is unbounded below?

If ff is unbounded below, then for every real number MM there is some xx with f(x)<−Mf(x)<-M. Consequently, −f(x)>M-f(x)>M, so the negated function is unbounded above. In the extended real numbers, this is written

sup⁡x∈A(−f(x))=+∞,inf⁡x∈Af(x)=−∞.\sup_{x\in A}(-f(x))=+\infty, \qquad \inf_{x\in A}f(x)=-\infty.

Thus the identity still makes sense with extended-real values, if those are allowed. If you are working only with real-valued suprema and infima, say instead that neither finite bound exists in this case.

Common mistakes

  • Using the supremum of ff instead of its infimum. The correct relationship is sup⁡(−f)=−inf⁡(f)\sup(-f)=-\inf(f). The supremum of ff instead determines inf⁡(−f)\inf(-f).
  • Assuming the supremum is a maximum. The equation identifies a bound, not necessarily a function value. The open-interval example has supremum 00 but no maximum.
  • Negating without reversing the inequality. From m≤f(x)m\leq f(x), multiplication by −1-1 gives −m≥−f(x)-m\geq -f(x), not −m≤−f(x)-m\leq -f(x).
  • Ignoring whether the range is bounded below. A finite supremum of −f-f requires ff to be bounded below. If it is not, −f-f is unbounded above.
  • Overlooking an empty domain. The usual real-valued statement assumes a nonempty set of function values. Bounds of the empty set depend on the conventions being used, so handle that case separately.

A useful shortcut is to identify the set of values first, then negate its bounds: the lower end of the original set becomes the upper end of the negated set, and vice versa.

References

  1. Walter Rudin, Principles of Mathematical Analysis

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