Some cool math explained with colors.
Color Maths Because it helps to know which part of an equation does what.
Bayes' Theorem Pr ( H ∣ E ) = Pr ( E ∣ H ) Pr ( H ) Pr ( E ∣ H ) Pr ( H ) + Pr ( E ∣ ¬ H ) Pr ( ¬ H ) The chance evidence is real (supports a hypothesis ) and is the chance of a true positive among all positives (true or false ).
Combination C ( n , k ) = P ( n , k ) k ! To group (combine) k items from n choices , count the specific permutations and consolidate the reorderings within the group .
Sines Sine is a fundamental wave function, appearing in geometry, calculus, physics, and signal processing.
Sine (Unit Circle) sin ( θ ) = height radius Pick an angle on the unit circle : sine is the vertical coordinate as a percent of the maximum .
Sine (Series Definition) sin ( x ) = x − x 3 3 ! + x 5 5 ! + … Sine is an initial impulse , with a restoring force , with a restoring force on the restoring force , and so on .
Sine (Geometric Definition) sin ( θ ) = opposite hypotenuse In a right triangle, pick an angle : sine is the opposite side as a percent of the largest side .
Radian x ∘ Degrees see angles from the viewer’s perspective (0-360 scale)
θ = s r Radians measure the mover’s path in terms of the radius .
Pythagorean Theorem c 2 = a 2 + b 2 When an object spans perpendicular directions , its area is the combined area of each part .
Permutation P ( n , k ) = n ! ( n − k ) ! To order (permute) k items from n choices ,start counting all orderings andstop counting after k items are found .
Imaginary Number A maybe different way to think about imaginary numbers:
What's an imaginary number? A number pointing sideways (North/South) instead of the typical East/West number line. What does i mean? i , by itself, points North. Multiplying by i rotates you 90 degrees. 2 rotations points you backwards ( i ⋅ i = − 1 ) , 4 rotations spins you around fully ( i 4 = 1 ) 1 ⋅ i 2 = − 1 i = − 1 Facing forward , two 90-degree rotations is backward .An imaginary number is halfway backward .
e − s t = e − ( a + b i ) t = e − a t ⋅ e − b i t A complex exponential spiral has an implied decay and spin rate
F ( s ) = ∫ 0 ∞ f ( t ) ⋅ e − s t d t To measure a specific decay and spin rate in a signal ,project onto a spiral of that rate .
X k = 1 N ∑ n = 0 N − 1 x n e i 2 π k n N To find the energy at a particular frequency ,spin your signal around a circle at that frequency , andaverage a bunch of points along that path .
Euler's Identity e i π = − 1 Growth pushing sideways lasting for half a circle points you backwards .
e i x = cos ( x ) + i sin ( x ) Growth in a perpendicular direction over time is circular: here are the horizontal and vertical coordinates
E The constant e (approximately 2.718 ) is the base of natural logarithms and arises naturally in many areas of mathematics, especially those involving growth and change.
Why's e special? All circles are the unit circle, scaled up. All continuously growing systems are e r t , scaled to some rate and time. E (Compound Interest Definition) e = lim n → ∞ ( 1 + 1 n ) 1 ⋅ n The base for continuous growth isthe unit quantity earning unit interest for unit time , compounded as fast as possible
E (Derivative Definition) d d x e x = 100 % ⋅ e x e x is the function where the rate of change is always 100 % of your current value .
E (Natural Log Definition) ln ( a ) = ∫ 1 a 1 x d x ln ( e ) = 1 The natural log is the time to grow from 1 to a value using 100% continuous interest .
e is the number that takes the natural logarithm 1 unit of time to reach .
E (Series Definition) e = 1 + 1 1 ! + 1 2 ! + 1 3 ! + ⋯ The base for continuous growth isthe unit quantity earning unit interest
plus the interest on the interest
plus the interest on the interest on the interest and so on
Convolution ( f ∗ g ) ( t ) = def ∫ − ∞ ∞ f ( τ ) g ( t − τ ) d τ To convolve a kernel with an input signal :flip the signal , move to the desired time , and accumulate every interaction with the kernel .
Derivative d f d t = lim h → 0 f ( t + h ) − f ( t ) h Take the new value minus the old value to get the change of value of the quantity, then divide by the time interval , and let that interval tend to 0 to get therate of change of quantity with respect to time .
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Loosely based on Kalid Azad's ColorizedMath - but cleaned up and extended.