High School I don't recognize this limit of Riemann sum

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The discussion centers on understanding the limit of a Riemann sum, specifically the expression lim(n→∞)(1/n)∑(j=1 to n)cos(jπ/2n). Participants highlight the importance of distinguishing between general definitions of Riemann sums and specific instances, emphasizing that specificity is key to grasping the concept. An analogy is drawn between the general definition of a weather forecast and an actual forecast to illustrate this point. The conversation aims to clarify the confusion surrounding the application of the limit in this context. Overall, the focus is on bridging the gap between theoretical definitions and practical examples in calculus.
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I look at the limit, and I look at the definition, and I don't match both concepts, though I should.
Hi, PF, I hope the doubts are going to be vanished in a short while:

This is the limit of Riemann Sum
##\displaystyle\lim_{n\rightarrow{\infty}}\displaystyle\frac{1}{n}\displaystyle\sum_{j=1}^{n}\cos\Big(\displaystyle\frac{j\pi}{2n}\Big)##

And this is the definition of the limit of the General Riemann Sum:
Let ##P=\{x_0,x_1,x_2,...,x_n\}## where ##a=x_0<x_1<x_2<\cdots{<x_n=b}##, be a partition of ##[a,b]## having norm ##||P||=\mbox{max}_{1\leq i\leq\n}\,Deltax_i##. In each subinterval of ##P## pick a point ##c_i## (called a tag). Let ##c=(c_1,c_2,...,c_n)## denote the set of these tags. The sum ##R(f,P,c)=\displaystyle\sum_{i=1}^n\,f(c_i)\Delta{x_i}=f(c_1)\Delta{x_1}+f(c_2)\Delta{x_2}+f(c_3)\Delta{x_3}+\cdot{f(c_n)\Delta{x_n}}## is called the Riemann sum of ##[a,b]## corresponding to partition ##P## and tags ##c##.

Doubts: On the expression ##\displaystyle\lim_{n\rightarrow{\infty}}\displaystyle\frac{1}{n}\displaystyle\sum_{j=1}^{n}\cos\Big(\displaystyle\frac{j\pi}{2n}\Big)##, how must I manage to bridge the gap?

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The answer is specificity. In this case, it means the difference between a general definition and a specific example.

For example, the definition of a weather forecast is very different from an actual forecast.
 
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Hi, PF, @PeroK, thanks a lot!

PeroK said:
The answer is specificity. In this case, it means the difference between a general definition and a specific example.

For example, the definition of a weather forecast is very different from an actual forecast.

Greetings.
 
There are probably loads of proofs of this online, but I do not want to cheat. Here is my attempt: Convexity says that $$f(\lambda a + (1-\lambda)b) \leq \lambda f(a) + (1-\lambda) f(b)$$ $$f(b + \lambda(a-b)) \leq f(b) + \lambda (f(a) - f(b))$$ We know from the intermediate value theorem that there exists a ##c \in (b,a)## such that $$\frac{f(a) - f(b)}{a-b} = f'(c).$$ Hence $$f(b + \lambda(a-b)) \leq f(b) + \lambda (a - b) f'(c))$$ $$\frac{f(b + \lambda(a-b)) - f(b)}{\lambda(a-b)}...

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