Let $T = \{ x_0,\ldots,x_n \}$ be a set of $n+1$ different points in the real interval $[a,b]$. Let $X_T$ be the associated *interpolation operator* on $C[a,b]$: it takes a function $f \in C[a,b]$ into the unique degree-$n$ polynomial $p$ such that $p(x_i) = f(x_i)$ for $i = 0,\ldots,n$. The *Lebesgue constant* $\Lambda_T$ is the operator norm of $X_T$ with respect to infinity norm $||\cdot||$; that is, $\Lambda_T = \sup_{f \in C[a,b]} ||X_T f||/||f||$.

Besides some well-referenced facts about $\Lambda_T$, the wikipedia entry for the Lebesgue constant includes a section with the title Sensitivity analysis of the values of a polynomial, where (if I understood correctly) the following is claimed without proof or reference:

Let $p$ be a degree-$n$ polynomial and let $u = (u_0,\ldots,u_n)$ where $u_i = p(x_i)$ for $i = 0,\ldots,n$. Let $\hat{u} = (\hat{u}_0,\ldots,\hat{u}_n)$ be a perturbation of $u$ and let $\hat{p}$ be the unique degree-$n$ polynomial such that $\hat{u}_i = \hat{p}(x_i)$ for $i = 0,\ldots,n$. Then: $$ \frac{||p-\hat{p}||}{||p||} \leq \Lambda_T \frac{||u-\hat{u}||}{||u||}. $$ In words, this is meant to say that $\Lambda_T$ can be viewed as the condition number of the process of polynomial interpolation (with respect to some sort of relative error).

**Question**: Is this an immediate consequence of the definition? Could anyone explain or provide a reference that proves the claim? Unfortunately the entry in the wikipedia gives no reference for it, and the given references (for the other parts of the article) do not seem to include this fact either (or I was not able to find it).