
- Calculus, Volume 2: Multi-Variable Calculus and Linear Algebra with Applications to Differential Equations and Probability
- Tom M. Apostol
- Second Edition
- 1991
- 978-1-119-49676-2
1.10 Exercises
- $f''(0) = 0.$
-
Recall from Section 1.6, Theorem 1.4, that a nonempty subset $S$ of a linear space $V$ is a subspace if and only if it satisfies the closure axioms:
$\text{Axiom 1.}\quad$Closure under addition. $\quad$ For every pair of elements $x$ and $y$ in $V$ there corresponds a unique element in $V$ called the sum of $x$ and $y,$ denoted by $x + y.$
$\text{Axiom 2.}\quad$Closure under multiplication by real numbers. $\quad$ For every $x$ in $V$ and every real number $a$ there corresponds an element in $V$ called the product of $a$ and $x,$ denoted by $ax.$
The dimension of a basis for a linear space is the number of elements in the basis. -
Let $A$ and $B$ be polynomials of degree $\leq n$ defined as follows:
\begin{align*}
A &= \sum_{k = 0}^n a_k x^k
\qquad
B = \sum_{k = 0}^n b_k x^k
\end{align*}
where $a_1, ..., a_n$ and $b_1, ..., b_n$ are real coefficients. Their respective derivatives $A'$ and $B'$ are given by:
\begin{align*}
A' &= \sum_{k = 1}^n a_k x^{k-1}
\qquad
B' = \sum_{k = 1}^n b_k x^{k-1}
\end{align*}
and whose second derivatives are given by
\begin{align*}
A'' &= \sum_{k = 2}^n a_k x^{k-2}
\qquad
B' = \sum_{k = 2}^n b_k x^{k-2}
\end{align*}
Then, for $A$ and $B$ to be elements of $S,$ $A''(0)$ and $B''(0)$ must be zero. In other words, $a_2$ and $b_2$ must be zero. Taking the sum of $A$ and $B,$ we get
\begin{align*}
A + B &= \sum_{k = 0}^n a_k x^k + \sum_{k = 0}^n b_k x^k
\\
&= \sum_{k = 0}^{n} (a_k + b_k)x^k
\end{align*}
Then, for $A + B$ to be an element of $S,$ $(A + B)''(0)$ must be $0.$ Differentiating twice with respect to $x,$ and setting $x = 0,$ we get:
\begin{align*}
(A + B)''(0) &= (a_2 + b_2) + \sum_{k = 2}^{n} (a_k + b_k)(0)
\end{align*}
But since $a_2 = b_2 = 0,$ $(A + B)'(0) = 0,$ satisfying closure under addition.
Now, if we let $c$ be some real scalar, then the product $cA$ is given by \begin{align*} cA &= c\sum_{k = 0}^n a_k x^k \\ &= \sum_{k = 0}^n ca_k x^k \end{align*} Its second derivative $cA''$ evaluated at $x = 0$ is then \begin{align*} cA''(0) &= ca_2 + \sum_{k = 3}^n (ca_k)(0) \\ &= 0, \end{align*} satisfying closure under multiplication. As such, $S$ is a subspace of the linear space of real polynomials of degree $\leq n.$ To find the dimension of $S,$ we note that since $S$ is spanned by the independent set of $n$ elements $\{1, x, x^3, ..., x^n\},$ thus $\dim S = n. \quad \blacksquare$
Let $P_n$ denote the linear space of all real polynomials of degree $\leq n,$ where $n$ is fixed. In each of Exercises 11 through 20, let $S$ denote the set of all polynomials $f$ in $P_n$ satisfying the condition given. Determine whether or not $S$ is a subspace of $P_n.$ If $S$ is a subspace, compute $\dim S.$