The dot product of two vectors equals the product of the lengths of the two vectors and the cosine of the angle between them.
This is a theorem in 2D, and the definition of θ in higher dimensions.
🧵 (1/3)
It's easier to understand the δ-ϵ definition of continuity by inserting a phrase that isn't logically necessary.
Instead of saying "for every ϵ > 0, …" it's easier to understand "for every ϵ > 0, no matter how small, …"
“Half of the plane ℝ ² is to the left of the vertical line x = 0 and half is to the right.”
“OK, sure.”
“Half the plane is to the left of x = 42 and half is to the right of x = 57.”
“Wait, what?!”
In one sense coordinate systems are simple. But as with almost anything, you can go deeper.
This is a 1365 page book, and specific coordinate systems begin on page 985.
Let f be a convex function on [a, b]. Then Hermite's inequality says f at the average of a and b is bounded by the average of f over the interval [a, b], which is bounded by the average of f over the pair of points {a, b}.
Gabriel's horn: a surface with finite volume but infinite surface area.
If it were a can of paint, it couldn't hold enough paint to paint itself!
This post generalizes the paradox, then resolves it.
The cross product 𝗮 × 𝗯 of two vectors, 𝗮 and 𝗯, is perpendicular to both.
The length of the cross product equals the area spanned a parallelogram whose sides are 𝗮 and 𝗯.
This area is minimized when θ = 0 and maximized when θ = π/2.
The function exp(1/(x^2 - 1)) goes to 0 quickly and smoothly as x goes to 1, if you're looking at just the real axis.
In the complex plane, the function is going nuts at 1. (Picard's theorem)
The sum of 1/n over positive integers diverges.
But if you remove from the sum those values of n containing a given digit, say 7, then the sum converges.
The analogous theorem holds in any base.