CommeUnJeu · L1 PCSI
Properties of \(\mathbb{R}\)
Real numbers come with an order. Four tools formalize the use of that order: inequalities between real numbers (and their compatibility with arithmetic operations), the absolute value (a measure of distance to zero), the floor function (a discretization of \(\mathbb{R}\) into \(\mathbb{Z}\)), and the supremum (least upper bound), which expresses the completeness of \(\mathbb{R}\) and prepares the limit chapter. The chapter is short and ground-laying: every analysis chapter that follows --- sequences, limits, continuity, derivatives --- rests on these four tools.
I
Order and inequalities on \(\mathbb{R}\)
The order on \(\mathbb{R}\) is total: any two real numbers are comparable. The compatibility rules state how the order interacts with addition and multiplication. Two warnings: multiplying by a negative number reverses the inequality, and inversion (passing from \(x \le y\) to \(1/x \ge 1/y\)) requires the reals to have the same sign.
Proposition — Compatibility of \(\le\) with operations
For \(x, y, z, t \in \mathbb{R}\): - Addition: \(\textcolor{colorprop}{x \le y \implies x + z \le y + z}\), and \(\textcolor{colorprop}{x \le y \text{ and } z \le t \implies x + z \le y + t}\).
- Positive scaling: \(\textcolor{colorprop}{x \le y \text{ and } \lambda \ge 0 \implies \lambda x \le \lambda y}\).
- Negative scaling: \(\textcolor{colorprop}{x \le y \text{ and } \lambda \le 0 \implies \lambda x \ge \lambda y}\) (reversal).
- Inversion (same sign): for \(x, y > 0\), \(\textcolor{colorprop}{x \le y \implies 1/x \ge 1/y}\).
- Squaring (positive): for \(x, y \ge 0\), \(\textcolor{colorprop}{x \le y \iff x^2 \le y^2}\).
Each property is a direct consequence of the order axioms (\(a \le b \iff b - a \ge 0\) and \(a, b \ge 0 \implies ab \ge 0\)).
- Addition. If \(x \le y\), then \((y + z) - (x + z) = y - x \ge 0\), so \(x + z \le y + z\). The two-sided version follows by chaining: \(x + z \le y + z \le y + t\).
- Positive scaling. If \(x \le y\) and \(\lambda \ge 0\), then \(\lambda y - \lambda x = \lambda (y - x)\) is a product of two non-negative reals, hence non-negative; so \(\lambda x \le \lambda y\).
- Negative scaling. If \(\lambda \le 0\), then \(-\lambda \ge 0\) and the previous item gives \(-\lambda x \le -\lambda y\), that is, \(\lambda y \le \lambda x\).
- Inversion. For \(x, y > 0\) with \(x \le y\), \(1/y - 1/x = (x - y)/(xy)\) has numerator \(\le 0\) and denominator \(> 0\), hence \(1/y \le 1/x\).
- Squaring. For \(x, y \ge 0\): \(y^2 - x^2 = (y - x)(y + x)\). Both factors have the same sign as \(y - x\) (since \(y + x \ge 0\)), so \(x \le y \iff x^2 \le y^2\).
Example
Show that \(\dfrac{2}{3} < \dfrac{5}{7}\) by cross-multiplication.
Both denominators are positive, so multiplying both sides by \(21 = 3 \cdot 7 > 0\) preserves the inequality: \(2/3 < 5/7 \iff 2 \cdot 7 < 5 \cdot 3 \iff 14 < 15\), which is true.
Example
Solve the inequality \(-2x + 3 \le 7\) in \(\mathbb{R}\).
\(-2x + 3 \le 7 \iff -2x \le 4 \iff x \ge -2\) (division by \(-2\) reverses the inequality). Solution: \(x \in [-2, +\infty[\).
Skills to practice
- Solving inequations by sign tables
- Proving inequalities by algebraic manipulation
II
Intervals of \(\mathbb{R}\)
Intervals are the connected subsets of \(\mathbb{R}\). They appear in every analysis result --- as the natural domain of continuity, as the image of a continuous function on a segment, as the solution set of inequalities. We fix the notation here.
Definition — Bounded intervals
For \(a, b \in \mathbb{R}\) with \(a \le b\): - \(\textcolor{colordef}{[a, b]} = \{x \in \mathbb{R} \mid a \le x \le b\}\) (closed interval, both endpoints included);
- \(\textcolor{colordef}{[a, b[} = \{x \in \mathbb{R} \mid a \le x < b\}\);
- \(\textcolor{colordef}{]a, b]} = \{x \in \mathbb{R} \mid a < x \le b\}\);
- \(\textcolor{colordef}{]a, b[} = \{x \in \mathbb{R} \mid a < x < b\}\) (open interval).
Example
The four bounded intervals from \(0\) to \(1\) are: \([0, 1]\) (closed segment, includes both endpoints), \(]0, 1[\) (open interval, excludes both), \(]0, 1]\) (excludes \(0\), includes \(1\)), \([0, 1[\) (includes \(0\), excludes \(1\)). They share the same length \(1\) but differ in which endpoints belong. Definition — Unbounded intervals
For \(a \in \mathbb{R}\): - \(\textcolor{colordef}{[a, +\infty[} = \{x \in \mathbb{R} \mid x \ge a\}\), \(\textcolor{colordef}{]a, +\infty[} = \{x \in \mathbb{R} \mid x > a\}\);
- \(\textcolor{colordef}{]-\infty, a]} = \{x \in \mathbb{R} \mid x \le a\}\), \(\textcolor{colordef}{]-\infty, a[} = \{x \in \mathbb{R} \mid x < a\}\);
- \(\textcolor{colordef}{]-\infty, +\infty[} = \mathbb{R}\).
Example
Three unbounded intervals: \([0, +\infty[\) is the set of non-negative reals; \(]-\infty, 1[\) is the set of reals strictly less than \(1\); \(]-\infty, +\infty[ = \mathbb{R}\) is all of \(\mathbb{R}\). The brackets facing \(\pm\infty\) are always open since \(\pm\infty \notin \mathbb{R}\). Skills to practice
- Deciding whether a subset is an interval
- Determining intersections and unions of intervals
III
Absolute value and distance
The absolute value \(|x|\) is the distance from \(x\) to \(0\) on the real line. It strips the sign and yields a non-negative real. Its multiplicative property and the triangle inequality are the two facts you will use most.
Definition — Absolute value
For \(x \in \mathbb{R}\), the absolute value of \(x\) is $$ \textcolor{colordef}{|x|} = \begin{cases} x & \text{if } x \ge 0, \\
-x & \text{if } x < 0. \end{cases} $$ Equivalently, \(|x| = \max(x, -x) = \sqrt{x^2}\). Example
Example
Quick computations: \(|3| = 3\), \(|{-5}| = 5\), \(|0| = 0\), and \(|3 - 7| = |{-4}| = 4\). In particular, \(|3 - 7| = |7 - 3|\): the absolute value of a difference does not depend on the order of the terms. Proposition — Properties of \(|\cdot|\)
For all \(x, y \in \mathbb{R}\): - \(\textcolor{colorprop}{|x| \ge 0}\) and \(\textcolor{colorprop}{|x| = 0 \iff x = 0}\).
- \(\textcolor{colorprop}{|{-x}| = |x|}\).
- \(\textcolor{colorprop}{|xy| = |x|\cdot|y|}\).
- \(\textcolor{colorprop}{|x+y| \le |x| + |y|}\) (triangle inequality).
- \(\textcolor{colorprop}{\big||x| - |y|\big| \le |x - y|}\) (reverse triangle inequality).
- For \(r \ge 0\): \(\textcolor{colorprop}{|x| \le r \iff -r \le x \le r}\).
- Non-negativity. By the case definition, \(|x| \in \{x, -x\}\), and in each case the chosen branch is \(\ge 0\). If \(|x| = 0\), then \(x = 0\) (if \(x > 0\), \(|x| = x > 0\); if \(x < 0\), \(|x| = -x > 0\)).
- Symmetry \(|{-x}| = |x|\). If \(x \ge 0\), \(-x \le 0\) so \(|{-x}| = -(-x) = x = |x|\). If \(x < 0\), \(-x > 0\) so \(|{-x}| = -x = |x|\).
- Multiplicativity. Since \(|x| = \sqrt{x^2}\), \(|xy| = \sqrt{(xy)^2} = \sqrt{x^2} \sqrt{y^2} = |x| \, |y|\).
- Triangle inequality. Both sides are non-negative, so it suffices to compare their squares: \((|x| + |y|)^2 - (x + y)^2 = x^2 + 2 |x| |y| + y^2 - x^2 - 2xy - y^2 = 2(|xy| - xy) \ge 0\), since \(|xy| \ge xy\).
- Reverse triangle. Writing \(x = (x - y) + y\) and applying the triangle inequality, \(|x| \le |x - y| + |y|\), so \(|x| - |y| \le |x - y|\). By symmetry, \(|y| - |x| \le |x - y|\), hence \(\big||x| - |y|\big| \le |x - y|\).
- Bracket form. If \(|x| \le r\), then \(x \le |x| \le r\) and \(-x \le |x| \le r\), so \(-r \le x \le r\). Conversely, if \(-r \le x \le r\), then both \(x \le r\) and \(-x \le r\), hence \(|x| = \max(x, -x) \le r\).
Proposition — Distance on the real line
For \(x, y \in \mathbb{R}\), the distance between \(x\) and \(y\) is \(\textcolor{colordef}{|x - y|}\). In particular, for \(a \in \mathbb{R}\) and \(r \ge 0\): $$ \textcolor{colorprop}{|x - a| \le r \iff a - r \le x \le a + r \iff x \in [a - r \,;\, a + r]}. $$
The three defining properties of a distance follow from the properties of \(|\cdot|\):
- Positivity. \(|x - y| \ge 0\), with equality iff \(x - y = 0\), that is, \(x = y\).
- Symmetry. \(|y - x| = |{-(x - y)}| = |x - y|\) (P symmetry of \(|\cdot|\)).
- Triangle inequality. \(|x - z| = |(x - y) + (y - z)| \le |x - y| + |y - z|\).
Example
The distance between \(2\) and \(5\) is \(d(2, 5) = |2 - 5| = 3\). The distance between \(-1\) and \(4\) is \(d(-1, 4) = |{-1} - 4| = |{-5}| = 5\). As expected, swapping the arguments leaves the result unchanged: \(d(5, 2) = |5 - 2| = 3\). Example
Solve \(|2x - 3| \le 5\) in \(\mathbb{R}\).
\(|2x - 3| \le 5 \iff -5 \le 2x - 3 \le 5 \iff -2 \le 2x \le 8 \iff -1 \le x \le 4\). Solution: \(x \in [-1, 4]\).
Skills to practice
- Solving equations and inequations with \(|\cdot|\)
- Using the triangle inequality
IV
Floor function and Archimedean property
The floor function \(\lfloor x \rfloor\) maps a real number to the greatest integer less than or equal to it. (It is not the nearest integer: \(\lfloor -2.3 \rfloor = -3\), not \(-2\).) It is the bridge between \(\mathbb{R}\) and \(\mathbb{Z}\) used everywhere in number theory, in numerical analysis, and in the definition of the fractional part.
Proposition — Archimedean property of \(\mathbb{R}\)
\textcolor{colorprop}{For every \(x \in \mathbb{R}\), there exists \(N \in \mathbb{N}\) such that \(N > x\).}Equivalently: \(\mathbb{N}\) is not bounded above in \(\mathbb{R}\). (Admitted; this property is what guarantees the existence of the floor of any real number.)
Definition — Floor function
For \(x \in \mathbb{R}\), the floor of \(x\), denoted \(\textcolor{colordef}{\lfloor x \rfloor}\), is the unique integer \(n \in \mathbb{Z}\) such that $$ n \le x < n+1. $$ The existence of such an \(n\) rests on the Archimedean property of \(\mathbb{R}\) (admitted: for every \(x \in \mathbb{R}\), there exists \(N \in \mathbb{N}\) with \(N > x\)). The fractional part of \(x\) is \(\{x\} = x - \lfloor x \rfloor \in [0, 1[\). Example
- \(\lfloor 3.7 \rfloor = 3\), \(\lfloor 5 \rfloor = 5\).
- \(\lfloor -2.3 \rfloor = -3\) (rounding toward \(-\infty\)).
- \(\lfloor \pi \rfloor = 3\), \(\lfloor -\pi \rfloor = -4\).
Proposition — Properties of \(\lfloor \cdot \rfloor\)
For \(x \in \mathbb{R}\) and \(n \in \mathbb{Z}\): - \(\textcolor{colorprop}{\lfloor x \rfloor \le x < \lfloor x \rfloor + 1}\) and \(\textcolor{colorprop}{x - 1 < \lfloor x \rfloor \le x}\).
- \(\textcolor{colorprop}{\lfloor x + n \rfloor = \lfloor x \rfloor + n}\) (translation by an integer).
- \(\textcolor{colorprop}{\lfloor x \rfloor = n \iff n \le x < n+1}\).
- Bracketing inequalities. By Definition, \(\lfloor x \rfloor\) is the unique integer with \(\lfloor x \rfloor \le x < \lfloor x \rfloor + 1\). Subtracting \(1\) from both sides of the left inequality of the next-integer version gives \(x - 1 < \lfloor x \rfloor \le x\).
- Integer translation. Let \(n \in \mathbb{Z}\). Adding \(n\) to the bracketing inequality \(\lfloor x \rfloor \le x < \lfloor x \rfloor + 1\) yields \(\lfloor x \rfloor + n \le x + n < \lfloor x \rfloor + n + 1\). Since \(\lfloor x \rfloor + n \in \mathbb{Z}\), by uniqueness in the Definition of the floor, \(\lfloor x + n \rfloor = \lfloor x \rfloor + n\).
- Characterization \(\lfloor x \rfloor = n\). (\(\Rightarrow\)) By the bracketing inequality with \(\lfloor x \rfloor = n\). (\(\Leftarrow\)) If \(n \le x < n + 1\) with \(n \in \mathbb{Z}\), then \(n\) satisfies the defining property of \(\lfloor x \rfloor\); by uniqueness, \(\lfloor x \rfloor = n\).
Skills to practice
- Solving floor equations
- Proving identities involving \(\lfloor \cdot \rfloor\)
V
Bounded subsets of \(\mathbb{R}\)
A subset of \(\mathbb{R}\) is bounded above if there is a real number lying above every element, bounded below if there is a real number lying below every element, and bounded if both conditions hold. The smallest upper bound is the supremum; the largest lower bound is the infimum. The fundamental property of \(\mathbb{R}\) --- which we admit --- is that every non-empty bounded-above subset has a supremum.
Definition — Bounded above\(\virgule\) bounded below\(\virgule\) bounded
Let \(A \subset \mathbb{R}\), \(A \ne \emptyset\). - \(A\) is bounded above if \(\exists M \in \mathbb{R}, \forall x \in A, x \le M\). Such an \(M\) is an upper bound (majorant).
- \(A\) is bounded below if \(\exists m \in \mathbb{R}, \forall x \in A, x \ge m\). Such an \(m\) is a lower bound (minorant).
- \(A\) is bounded if it is both bounded above and bounded below.
Example
The set \(A = ]0, 1]\) is bounded: \(0\) is a lower bound (\(\forall x \in A, x > 0\)) and \(1\) is an upper bound (\(\forall x \in A, x \le 1\)). Note that \(1 \in A\) but \(0 \notin A\). By contrast, \(\mathbb{N} \subset \mathbb{R}\) is bounded below (by \(0\)) but not bounded above (Archimedean property), hence not bounded. Skills to practice
- Computing \(\sup\)\(\virgule\) \(\inf\)\(\virgule\) \(\max\)\(\virgule\) \(\min\)
- Proving sup/inf properties
VI
Supremum and infimum
Among the upper bounds of a non-empty bounded-above subset, there is always a smallest one --- the supremum. This is the completeness axiom of \(\mathbb{R}\), the property that distinguishes \(\mathbb{R}\) from \(\mathbb{Q}\) (in \(\mathbb{Q}\), the set \(\{x \in \mathbb{Q} \mid x^2 < 2\}\) has no \(\sup\); in \(\mathbb{R}\), it has \(\sqrt{2}\)).
Definition — Supremum\(\virgule\) infimum\(\virgule\) maximum\(\virgule\) minimum
For \(A \subset \mathbb{R}\) non-empty and bounded above: - The supremum (or least upper bound) of \(A\), denoted \(\textcolor{colordef}{\sup A}\), is the smallest upper bound: it satisfies \(\sup A\) is an upper bound, and for every upper bound \(M\) of \(A\), \(\sup A \le M\).
- If \(\sup A \in A\), it is the maximum, denoted \(\textcolor{colordef}{\max A}\).
Example
Let \(A = \{1 - 1/n : n \in \mathbb{N}^*\} = \{0, 1/2, 2/3, 3/4, \ldots\}\). Then \(\inf A = 0 = \min A\) (attained at \(n = 1\)) and \(\sup A = 1\), but \(1 \notin A\), so \(A\) has no maximum. Symmetrically, \(B = \{1/n : n \in \mathbb{N}^*\}\) satisfies \(\sup B = 1 = \max B\) (attained at \(n = 1\)) and \(\inf B = 0\), but \(0 \notin B\), so \(B\) has no minimum. Theorem — Existence of \(\sup\) and \(\inf\) in \(\mathbb{R}\)
\textcolor{colorprop}{Every non-empty bounded-above subset of \(\mathbb{R}\) has a supremum in \(\mathbb{R}\). Every non-empty bounded-below subset has an infimum in \(\mathbb{R}\).}(Admitted; this is a defining property of \(\mathbb{R}\), the completeness axiom.)
Skills to practice
- Determining sup and inf of a finite or interval set
- Proving sup and inf properties
VII
\(\varepsilon\)-characterizations of \(\sup\) and \(\inf\)
The Existence theorem says some real number plays the role of \(\sup A\), but does not say how to recognize it. The next Proposition gives the practical \(\varepsilon\)-characterization, the workhorse of every limit / continuity / sequence proof in this course: \(s = \sup A\) iff \(s\) majores \(A\) and every value strictly below \(s\) fails to majorize.
Proposition — Characterization of \(\sup\) (\(\varepsilon\)-form)
Let \(A \subset \mathbb{R}\) be non-empty and bounded above, and let \(s \in \mathbb{R}\). Then \(s = \sup A\) if and only if: - \(s\) is an upper bound: \(\forall x \in A, x \le s\);
- \(s\) is approached arbitrarily closely from inside \(A\): \(\forall \varepsilon > 0, \exists x \in A, \, s - \varepsilon < x \le s\).
We prove the equivalence for \(\sup\); the case of \(\inf\) is symmetric.
(\(\Rightarrow\)) Assume \(s = \sup A\). By Definition, \(s\) is an upper bound of \(A\), so (i) holds. For (ii), fix \(\varepsilon > 0\). The real \(s - \varepsilon < s\), so \(s - \varepsilon\) is not an upper bound of \(A\) (otherwise \(s\) would not be the least upper bound). Hence there exists \(x \in A\) with \(x > s - \varepsilon\); combined with \(x \le s\) (since \(s\) is an upper bound), we get \(s - \varepsilon < x \le s\).
(\(\Leftarrow\)) Assume (i) and (ii). To show \(s = \sup A\), we check that \(s\) is the least upper bound. Let \(M\) be any upper bound of \(A\). Suppose, for contradiction, that \(M < s\), and set \(\varepsilon = s - M > 0\). By (ii), there exists \(x \in A\) with \(x > s - \varepsilon = M\), contradicting that \(M\) is an upper bound. Hence \(M \ge s\), so \(s\) is the least upper bound, that is, \(s = \sup A\).
(\(\Rightarrow\)) Assume \(s = \sup A\). By Definition, \(s\) is an upper bound of \(A\), so (i) holds. For (ii), fix \(\varepsilon > 0\). The real \(s - \varepsilon < s\), so \(s - \varepsilon\) is not an upper bound of \(A\) (otherwise \(s\) would not be the least upper bound). Hence there exists \(x \in A\) with \(x > s - \varepsilon\); combined with \(x \le s\) (since \(s\) is an upper bound), we get \(s - \varepsilon < x \le s\).
(\(\Leftarrow\)) Assume (i) and (ii). To show \(s = \sup A\), we check that \(s\) is the least upper bound. Let \(M\) be any upper bound of \(A\). Suppose, for contradiction, that \(M < s\), and set \(\varepsilon = s - M > 0\). By (ii), there exists \(x \in A\) with \(x > s - \varepsilon = M\), contradicting that \(M\) is an upper bound. Hence \(M \ge s\), so \(s\) is the least upper bound, that is, \(s = \sup A\).
Example
Apply the \(\varepsilon\)-characterization to confirm that \(\sup\{1 - 1/n : n \in \mathbb{N}^*\} = 1\). - \(1\) is an upper bound: \(1 - 1/n < 1\) for every \(n \ge 1\).
- Given \(\varepsilon > 0\), by the Archimedean property pick \(n \in \mathbb{N}^*\) with \(n > 1/\varepsilon\), that is, \(1/n < \varepsilon\); then \(1 - 1/n > 1 - \varepsilon\).
Example
Determine \(\sup, \inf, \max, \min\) of \(A = [0, 1[\).
\(\inf A = 0 = \min A\) (\(0 \in A\)). \(\sup A = 1\), but \(1 \notin A\), so \(A\) has no maximum.
Skills to practice
- Applying the \(\varepsilon\)-characterization
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