Examine linear dependence of two general systems 1^° 1, x…
Examine linear dependence of two general systems $1^\circ\quad 1,\ x,\ x^2,\ \ldots,\ x^n;\qquad\qquad 2^\circ\quad e^{k_1x},\ e^{k_2x},\ \ldots,\ e^{k_nx},$ where in $2^\circ$ the exponents are pairwise distinct: $k_i\neq k_j$ for $i\neq j$.
Explanation of Method
Prove $1,x,\ldots,x^n$ and $e^{k_1x},\ldots,e^{k_nx}$ (distinct exponents) are linearly independent, by definition, induction, and Wronskian/Vandermonde argument.
Step 1: System $1^\circ$: proof by definition
Suppose there exist constants $c_0,c_1,\ldots,c_n$ with
\[ c_0+c_1x+c_2x^2+\cdots+c_nx^n\equiv0\quad\text{for all }x. \tag{1} \]
The left side is a polynomial of degree at most $n$ that vanishes identically; a polynomial identically equal to zero has every coefficient equal to zero. Hence $c_0=c_1=\cdots=c_n=0$, so only the trivial combination gives the zero function.
Alternative: differentiating (1) successively and evaluating at $x=0$ gives $c_0=0$, then $c_1=0$, then $k!\,c_k=0\Rightarrow c_k=0$ at each stage – the same conclusion by a different route.
Step 2: System $1^\circ$: Wronskian proof
The $r$-th derivative of $x^c$ vanishes whenever $r>c$, so in the matrix of derivatives $0,1,\ldots,n$ (rows) applied to $1,x,\ldots,x^n$ (columns), every entry below the diagonal is zero: the Wronskian is upper triangular. Its diagonal entries are the $k$-th derivative of $x^k$ at each $k$, namely $k!$:
\[ W(x)=\begin{vmatrix} 1&x&x^2&\cdots&x^n\\ 0&1&2x&\cdots&nx^{n-1}\\ 0&0&2&\cdots&n(n-1)x^{n-2}\\ \vdots& & &\ddots&\vdots\\ 0&0&0&\cdots&n!\end{vmatrix}=\prod_{k=0}^{n}k!\;=\;0!\,1!\,2!\cdots n!. \]
This is a nonzero constant, independent of $x$, so the system is independent.
$1,\,x,\,x^2,\,\ldots,\,x^n:\quad W(x)=\prod_{k=0$.
Step 3: System $2^\circ$: proof by induction on $n$
Base case $n=1$: a single nonzero function $e^{k_1x}$ is trivially independent.
Inductive step: assume the claim for any $n-1$ exponentials with distinct exponents. Suppose
\[ c_1e^{k_1x}+c_2e^{k_2x}+\cdots+c_ne^{k_nx}\equiv0. \tag{2} \]
Divide by $e^{k_nx}>0$, then differentiate to eliminate the resulting constant term: \[c_1(k_1-k_n)e^{(k_1-k_n)x}+\cdots+c_{n-1}(k_{n-1}-k_n)e^{(k_{n-1}-k_n)x}\equiv0. \tag{3}\]
The $n-1$ exponents $k_i-k_n$ $(i Since the $j$-th derivative of $e^{k_ix}$ is $k_i^{\,j}e^{k_ix}$, factoring
$e^{k_ix}$ out of column $i$ leaves exactly the Vandermonde matrix in
$k_1,\ldots,k_n$:
\[W(x)=e^{k_1x}e^{k_2x}\cdots e^{k_nx}
\begin{vmatrix}1&1&\cdots&1\\ k_1&k_2&\cdots&k_n\\ \vdots& &&\vdots\\
k_1^{n-1}&k_2^{n-1}&\cdots&k_n^{n-1}\end{vmatrix}
= e^{(k_1+\cdots+k_n)x}\prod_{1\le i Every factor $k_j-k_i\neq0$ because the exponents are distinct, so the
Vandermonde product is nonzero and $W(x)\neq0$ for every $x$. $e^{k_1x$. Final answer: \[\boxed{\,1,\,x,\,x^2,\,\ldots,\,x^n:\quad W(x)=\prod_{k=0}^n k!\neq0 \ \Longrightarrow\ \text{Linearly independent (any interval)}\,}\] Final answer: \[\boxed{\,e^{k_1x},\ldots,e^{k_nx}\ (k_i\ \text{distinct}):\quad W(x)=e^{(\sum k_i)x}\!\!\prod_{i Both systems are unconditionally independent. $1^\circ$ needs only that a nonzero polynomial has finitely many roots;
$2^\circ$ needs only that the exponents be distinct, in which case the
Vandermonde determinant $\prod_{iStep 4: System $2^\circ$: Wronskian proof (Vandermonde)
Step 5: Summary
Result
Remark