CF 103107A - And RMQ
For real $x ge t-1$, define the generalized binomial coefficients $$binom{x}{t} = frac{x(x-1)cdots(x-t+1)}{t!}, qquad binom{x}{t-1} = frac{x(x-1)cdots(x-t+2)}{(t-1)!}.
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Solution
Setup
For real $x \ge t-1$, define the generalized binomial coefficients
$$\binom{x}{t} = \frac{x(x-1)\cdots(x-t+1)}{t!}, \qquad \binom{x}{t-1} = \frac{x(x-1)\cdots(x-t+2)}{(t-1)!}.$$
The function $x \mapsto \binom{x}{t}$ is strictly increasing on $[t-1,\infty)$ since
$$\frac{\binom{x+1}{t}}{\binom{x}{t}} = \frac{x+1}{x-t+1} > 1 \quad (x \ge t-1).$$
Hence for each integer $N \ge 0$ there exists a unique real $x \ge t-1$ such that
$$N = \binom{x}{t}.$$
Define the real-valued function
$$\kappa_t^{(\mathbb{R})}(N) = \binom{x}{t-1} \quad \text{where } N = \binom{x}{t}.$$
Let the integer version $\kappa_t^{(\mathbb{Z})}(N)$ be defined as follows: choose the unique integer $m \ge t-1$ such that
$$\binom{m}{t} \le N < \binom{m+1}{t},$$
and set
$$\kappa_t^{(\mathbb{Z})}(N) = \binom{m}{t-1}.$$
The goal is to prove
$$\kappa_t^{(\mathbb{R})}(N) \ge \kappa_t^{(\mathbb{Z})}(N) \quad \text{for all integers } t \ge 1, ; N \ge 0.$$
Equality holds when $x$ is an integer.
Solution
Fix $t \ge 1$ and $N \ge 0$. Let $x \ge t-1$ be the unique real number such that
$$N = \binom{x}{t}.$$
Let $m$ be the integer determined by
$$\binom{m}{t} \le \binom{x}{t} < \binom{m+1}{t}.$$
Since $x \mapsto \binom{x}{t}$ is strictly increasing on $[t-1,\infty)$, the inequality
$$\binom{m}{t} \le \binom{x}{t}$$
implies $m \le x$, and the strict monotonicity forces $m \le x < m+1$.
Thus
$$m \le x.$$
Consider the function
$$f(x) = \binom{x}{t-1}.$$
For $x \ge t-1$, compute the ratio
$$\frac{f(x+1)}{f(x)} = \frac{\binom{x+1}{t-1}}{\binom{x}{t-1}} = \frac{x+1}{x-t+2}.$$
Since $x \ge t-1$, one has $x+1 \ge t$ and $x-t+2 \le x+1$, hence
$$\frac{x+1}{x-t+2} > 1,$$
so $f(x)$ is strictly increasing on $[t-1,\infty)$.
From $m \le x$ and monotonicity of $f$, it follows that
$$\binom{m}{t-1} \le \binom{x}{t-1}.$$
Substituting definitions gives
$$\kappa_t^{(\mathbb{Z})}(N) \le \kappa_t^{(\mathbb{R})}(N).$$
If $x$ is an integer, then necessarily $x=m$, so equality holds.
This completes the proof. ∎
Verification
The argument uses only two monotonicity facts, both derived directly from explicit ratios of generalized binomial coefficients. The inequality $m \le x$ follows from strict monotonicity of $\binom{x}{t}$ on $[t-1,\infty)$, and the comparison of $\kappa$ values reduces to monotonicity of $\binom{x}{t-1}$. No additional assumptions are used.