Sharva’s Mentorship | School of Futuristic Intelligence
The School of Futuristic Intelligence

Private Mentorship Space

Sharva’s Mentorship

Your place to return to every session, continue the mathematics, revisit your projects, and see the work taking shape over time.

18Sessions
21Hours together
13Resources & explorations
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Your Sessions

Everything from this course of study, gathered here so you can return to the work and continue where you left off.

Aug202026
Session 2079 minutes together

Interactive mathematics library

Session Overview

Adam introduced his interactive math app library through polyhedra, Pascal’s triangle, polar graphs, visual product rules, fractals, and number patterns. The main lesson differentiated a geometric series and developed a formal Ramanujan/zeta-regularization argument for assigning 1 + 2 + 3 + ⋯ the value −1/12, emphasizing direct understanding rather than memorization. Sharva was assigned an essay connecting this distinction to Ramanujan’s discovery.

Interactive mathematics library

The new app library was used to explore polyhedral nets, duals, three-dimensional tessellation, Euler’s characteristic, Pascal’s triangle, polar curves, fractal trees, primes, and figurate numbers. Several apps were newly built and still being debugged.

  • Polyhedra: Compared Platonic, Archimedean, Catalan, and Johnson solids; examined vertex/face transitivity, dihedral angles, duals, nets, and space-filling forms.
  • Fractals and series: A branching fractal with ratio 1/√2 led naturally to the geometric series 1/2 + 1/4 + 1/8 + ⋯ = 1.

Seeing the product rule geometrically

For a rectangle with sides f(x) and g(x), the change in area was decomposed into gΔf + fΔg + ΔfΔg. As Δx approaches zero, the second-order corner term vanishes in the derivative, making (fg)' = f'g + fg' directly visible. A three-dimensional box similarly showed (fgh)' = f'gh + fg'h + fgh'.

The infinite-series argument

Starting with 1/(1+x) = 1 − x + x² − x³ + ⋯, differentiation and evaluation at x = 1 produced the formally assigned value 1 − 2 + 3 − 4 + ⋯ = 1/4. Aligning S = 1 + 2 + 3 + ⋯ with its even terms then gave −3S = 1/4 and S = −1/12. This is a Ramanujan/zeta-regularized value, not the ordinary convergent sum of the positive integers.

Information versus knowledge

Knowing a famous answer is not the same as seeing why it arises. The central lesson was to approach mathematics with humility, set memorized conclusions aside, and let the structure become evident in the present calculation.

See the geometric series directly

Contemplate why 1 + x + x² + x³ + ⋯ = 1/(1−x), then reconstruct the session’s argument without beginning from the memorized value −1/12.

Essay: Information and knowledge

Write an essay on “the difference between information and knowledge as it applies to the infinite sum of integers and Ramanujan’s discovery.”

Explore and share the app library

Spend time interacting with the mathematical explorations, especially the polyhedra, polar graphs, product-rule visualization, fractals, Pascal’s triangle, and number-pattern galleries. Share them with friends who may enjoy exploring mathematics visually.

Resources

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Aug132026
Session 1972 minutes together

Algebra as mental arithmetic

Session Overview

Sharva used binomial identities, area and volume models, and difference of squares to perform mental arithmetic, then proved why there are exactly five Platonic solids. The session shifted into a detailed exploration of the Riemann zeta function using Sharva’s Desmos visualization and Processing code, with special attention to analytic continuation, non-trivial zeros, and Euler’s prime product. They agreed to continue this investigation while maintaining a foundation in Calculus I.

Algebra as mental arithmetic

Multiplication was treated as algebra rather than memorization, using geometric area and volume models.

  • Nearby squares: Expand around a convenient base: 49²=(50−1)²=2401 and 29²=(30−1)²=841.
  • General products: Use distributive expansion, such as 59×58=(60−1)(60−2)=3600−180+2=3422.
  • Difference of squares: Use (x−a)(x+a)=x²−a²; for example, 47×51=49²−2²=2397.
  • Cubes and Pascal’s triangle: Visualize (x+1)³ as one large volume, three faces, three edges, and one corner. This gave 21³=9261 and connected binomial coefficients with Pascal’s triangle.
  • Calculus connection: The derivative of x³, namely 3x², was used to approximate cube roots of numbers close to a known perfect cube.

Why there are five Platonic solids

At each vertex, at least three identical regular polygons must meet, and their interior angles must total less than 360°. Equilateral triangles allow three, four, or five faces at a vertex; squares allow three; pentagons allow three; all other cases flatten out or exceed 360°. These five possibilities produce the five Platonic solids.

Exploring the Riemann zeta function

Sharva demonstrated a complex-plane visualization built in Desmos from thousands of points, using a Dirichlet eta-based approximation because direct recursion was unavailable. Processing code was also tested on complex inputs and successfully returned the analytically continued value ζ(−1)=−1/12.

  • Reference values: The session reviewed ζ(1) as divergent, ζ(2)=π²/6, and the analytically continued value ζ(−1)=−1/12.
  • Non-trivial zeros: The first non-trivial zero was examined near 1/2+14.1347i, illustrating the Riemann Hypothesis claim that every non-trivial zero has real part 1/2.
  • Euler product: A finite product over primes of factors 1/(1−p^(−s)) was built in Desmos. It approximated ζ(2), revealing the connection between zeta values and prime numbers.
  • Important distinction: The finite prime product did not reproduce ζ(−1) or give an exact zero near the first non-trivial zero, highlighting the need to distinguish that product from the analytically continued zeta function.

Questions to investigate next

How does the Processing implementation perform analytic continuation and produce −1/12 at s=−1? Why does the complex zeta image form loops, and how can the relationship between inputs and plotted outputs be displayed clearly? Why did the finite Euler product remain nonzero when evaluated near the first non-trivial zero?

Review the zeta implementation and geometric proof

Study the Processing zeta-function code—especially the calculation contained roughly between lines 121 and 299—and try to understand how it returns ζ(−1)=−1/12. Also sit down and independently reconstruct the angle argument proving that there are exactly five Platonic solids.

How to approach the Riemann Hypothesis

Keep studying and thinking about the zeta function, but stay with the fundamentals rather than rushing to solve the hypothesis. Become deeply familiar with the question, its definitions, and its existing structures before searching for a breakthrough.

Direction for upcoming sessions

Continue the Riemann zeta investigation next week after further review. Calculus will also continue, but the plan is to make Calculus I thoroughly intuitive before moving into double and triple integrals, Green’s theorem, or vector calculus.

Jul302026
Session 1873 minutes together

Using calculus for mental arithmetic

Session Overview

The session opened with a brief meditation, then used derivatives as linear approximations to estimate cube, square, and fourth roots mentally, supported by cube visualizations and difference-of-squares arithmetic. The second half explored why x^(1/x) reaches its maximum at x = e through graphing, logarithms, derivatives, and the limit definition of e; a complete proof was left open for further contemplation.

Using calculus for mental arithmetic

Near a known value, a derivative converts a small change in an output into an approximate change in the input. For V = x³, dV = 3x² dx, so ∛1729 ≈ 12 + 1/(3·12²) = 12 + 1/432. The same idea gave ∛1001 ≈ 10 + 1/300 and √145 ≈ 12 + 1/24.

  • General pattern: For y = xⁿ near x = a, a small output change Δy gives Δx ≈ Δy/(n·aⁿ⁻¹).
  • Useful rounding: The derivative denominator can be rounded for faster mental estimates when only the first few decimal places are needed.
  • Two approaches: Numerical methods approximate through algorithms and repeated calculations; analytical methods manipulate equations to obtain a symbolic result.

Mental-math examples

Sharva practiced combining linear approximation with familiar powers and algebraic identities.

  • Root estimates: ∛730 ≈ 9 + 1/243 ≈ 9.004; ⁴√2403 ≈ 7 + 2/1372; and ∛510 ≈ 7.99 by expanding around 8³ = 512.
  • Difference of squares: Products centered on a convenient midpoint were computed as (a − b)(a + b) = a² − b²: 97·103 = 9991, 96·104 = 9984, 22·28 = 616, and 51·47 = 2397.
  • Visualization and fluency: The goal was to develop both geometric perception of identities and the ability to use them quickly when needed.

Why does x^(1/x) have its maximum at e?

The function was explored graphically and numerically, confirming that it rises to a maximum at x = e and then decreases slowly toward 1. Natural logarithms, derivative rules, and the limit definition of e were investigated, but the analytical proof was not completed.

  • Important caution: The power rule for xᵃ assumes that a is constant; differentiating first and then substituting a = 1/x does not produce a valid derivative of x^(1/x).
  • Next direction: Continue exploring logarithmic differentiation and look for a transparent reason the maximum occurs at e rather than relying only on mechanical calculation.
  • Saved work: The teacher agreed to save and share the Desmos project containing the investigation.

Richard Feynman film

Watch “Infinity,” starring Matthew Broderick as Richard Feynman. It was recommended as an inspiring example of Feynman’s playful approach to mental calculation and physics.

Next meeting

The next session was planned for two weeks later.

Resources

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Jul232026
Session 1768 minutes together

Directly Seeing Why ∫(1/x) dx = ln x

Session Overview

After a short meditation, the session framed mathematics as a contemplative practice: not merely memorizing calculus, but apprehending an idea until it feels self-evident. Using inverse graphs in Desmos, Sharva studied why reflecting y = eˣ into y = ln x reciprocates tangent slopes, giving d/dx ln x = 1/x. Sharva then presented an original cubic-extrema problem and received feedback on its wording and proposed solution.

The inverse-graph argument

For y = eˣ, the slope at (a, eᵃ) equals its y-value, eᵃ. Reflection across y = x sends that point to (eᵃ, a) on y = ln x and exchanges rise/run with run/rise, so the new slope is 1/eᵃ = 1/x. Therefore d/dx ln x = 1/x and, on x > 0, ∫(1/x) dx = ln x + C.

Direct perception rather than memorization

The aim was to hold the entire relationship in mind at once and see it as self-evident—not merely repeat a formula or follow a derivation. This kind of gentle, sustained contemplation was presented as part of a mathematical sadhana.

Let the graph argument marinate

Revisit the Desmos construction daily for a while. Track (a, eᵃ) and its reflected point (eᵃ, a), then explain aloud how exchanging rise and run turns the slope eᵃ into 1/eᵃ = 1/x; repeat until the whole relationship can be held clearly at once.

Domain reminder

The real-valued identity e^(ln x) = x requires x > 0. In particular, ln 0 is undefined, whereas e⁰ = 1.

Sharva’s cubic-extrema question

Sharva presented a self-created problem involving y = x³ + Bx² + Cx and conditions under which the local minimum and maximum y-values sum to zero. The key feedback was to specify “local minimum and maximum y-values” precisely, distinguish them from global extrema, and investigate the full parameter space rather than assuming only the symmetric B = 0 case. The discussion of the regularized identity 1 + 2 + 3 + ⋯ = −1/12 was considered unnecessary where a simpler cancellation argument would suffice.

Companion reading and film

The teacher shared his draft book Futuristic Intelligence for use alongside the lessons. He suggested beginning with “Bhakti, A Complete Soteriology,” optionally reading about one sermon per week, and noted that chapter 18, “Art and Mastery,” connects with the session’s themes. He also recommended the film Ender’s Game for its portrayal of highly capable futuristic children.

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Jul162026
Session 1667 minutes together

The Fundamental Theorem as two views of the same quantity

Session Overview

The session began a new calculus series by building an intuitive Desmos visualization of the Fundamental Theorem of Calculus. Riemann rectangles under a derivative were matched with successive height changes in the original function, showing why integrating the derivative from a to b gives f(b) − f(a).

The area under the derivative function equals the change in height of the original function.
— The Bhakti Math Guru

The Fundamental Theorem as two views of the same quantity

For a small interval, a rectangle under f′ has area f′(x)Δx. Since f′(x) is the slope of f, the corresponding change in f is also Δy ≈ f′(x)Δx. Adding all the rectangles matches the total height change, and in the limit this becomes ∫ₐᵇ f′(x) dx = f(b) − f(a).

  • Purple rectangles: Their heights represent values of f′, so each area is slope × Δx.
  • Right-triangle steps: Each vertical step represents the corresponding change Δy in the original function.
  • Increasing N: More, thinner intervals make the piecewise-linear construction approach the original curve and make the Riemann sum approach the exact integral.

Practice the visual explanation

Sharva was asked to practice the idea before next week: explain why each rectangle’s area under f′ equals the corresponding height change on f, and why adding those changes produces f(b) − f(a).

Continue calculus through intuition

The next series will focus on calculus, emphasizing foundational and visual understanding rather than only symbolic procedures. A circle-based way to understand the area of a trigonometric “bump” was left for the next session.

Resources

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Jul22026
Session 1568 minutes together

Complex Numbers, Dual Numbers, and Automatic Differentiation

Session Overview

Sharva reviewed complex numbers through their definition, arithmetic, geometric multiplication and division, conjugates, and magnitudes. The lesson then connected dual numbers satisfying ε ≠ 0 and ε² = 0 to derivatives, Taylor expansion, and the example of sin(x + ε), before ending with a visual introduction to conformal mapping.

Daily writing on imaginary numbers

Spend about 10 minutes each day writing an answer to “What is an imaginary number?” Revisit the same topic repeatedly so the explanation becomes clearer, more refined, and more personal; the exact daily duration and total number of days may be adjusted.

Complex-number operations

Complex numbers have independent real and imaginary components, so addition and subtraction combine like components. Geometrically, multiplication multiplies magnitudes and adds angles, while division divides magnitudes and subtracts angles. Division can also be performed algebraically by multiplying by the denominator’s complex conjugate.

  • Examples: (1 + i)² = 2i; (½ + (√3/2)i)³ = −1; (1 + √3i)³ = −8; and 2i/(1 + i) = 1 + i.
  • Magnitude: For a + bi, the magnitude is √(a² + b²); examples included |3 + 4i| = 5 and |7 + 24i| = 25.

Dual numbers expose the derivative

For a dual number ε with ε² = 0, higher-order terms disappear from the Taylor expansion, leaving f(x + ε) = f(x) + f′(x)ε. Thus the ordinary component gives the function value and the ε component gives its derivative.

  • Sine example: Using the angle-addition identity and the small-angle behavior sin ε ≈ ε and cos ε ≈ 1 gives sin(x + ε) = sin x + cos x·ε in dual-number arithmetic, displaying the derivative cos x.
  • Geometric meaning: A tiny horizontal change ε produces a vertical change approximately equal to the local slope f′(x) multiplied by ε.

Conformal mapping

Complex functions can map each two-dimensional complex input z to a two-dimensional complex output f(z). Animated examples involving e^z, sin z, cos z, and √z showed grids and shapes warping under these mappings, making complex functions visible as geometric transformations.

What to consolidate

Develop an intuitive understanding of why f(x + ε) contains the derivative in its ε component, and revisit the sine angle-addition example rather than merely memorizing its formula. Also contemplate how conformal maps visualize functions such as sin z.

Schedule and possible next topic

There will be no class next week; the next meeting is planned for the following week. Trigonometry—especially deriving the sine addition formula—was suggested as a possible next direction, while calculus and the gamma function remain open possibilities.

Jun252026
Session 1490 minutes together

Complex powers as geometry

Session Overview

Sharva connected complex-number geometry with coding by applying De Moivre’s theorem and building an animated Julia set in Processing. The session moved from powers of 1+i and polar form to complex-number classes, pixel arrays, nested loops, escape tests, and direct mathematical control of an image.

I don't see syntax here, I see math.
— The Bhakti Math Guru

Complex powers as geometry

For a complex number in polar form, raising it to the nth power raises its magnitude to the nth power and multiplies its angle by n. This made powers visually intuitive: (1+i)^8 = 16, (1+i)^16 = 256, and (1+i)^4 = -4.

Animated Julia set in Processing

A reusable Complex class represented real and imaginary parts and implemented operations such as addition, multiplication, squaring, and magnitude. Nested loops visited every pixel using index = x + y × width, mapped screen coordinates into the complex plane, repeatedly applied z ← z² + c, and colored pixels according to whether they escaped. Making part of c vary with a sine function animated the fractal.

  • Why Processing: Unlike Desmos, Processing allows individual pixels to be controlled directly.
  • Debugging insight: An escaped Boolean and break statement were added so iteration stopped once the magnitude threshold was crossed.
  • Performance: Increasing from 50 to 150 iterations revealed finer structure but slowed the animation; GPU parallel processing was identified as a possible future improvement.

Two-minute stillness practice

The session opened with silent attention directed toward time, the self, luminosity, the heart, or the whole world, allowing the mind to become quiet.

Direction for upcoming study

Sharva chose to continue imaginary numbers for roughly one more session before beginning a calculus unit. After seeing coding used directly for complex-number mathematics, he also decided that learning code could be beneficial.

Explore the provided program

Use Processing as a math-centered coding environment, experiment with the Julia-set parameters and iteration count, and work toward understanding the supplied syntax and reusable Complex class.

Resources

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Jun172026
Session 1369 minutes together

Complex Recursion, Orbits, and Fractals in Desmos

Session Overview

Sharva explored the imaginary unit as more than a memorized definition, viewing it through the equation x² = −1 and as a direction orthogonal to the real number line. The session then used Desmos to build and visualize recursive complex-number orbits, revealing convergence, cycles, escape to infinity, and the beginnings of a fractal boundary.

Understanding i more deeply

Rather than stopping at “i is the square root of −1,” the lesson emphasized i as a solution to x² = −1 and as a unit direction outside the positive and negative directions of the real line.

Building recursive orbits in Desmos

The main construction evolved into z(0,c)=0 and z(n,c)=z(n−1,c)²+c. Complex mode, lists, and the real and imaginary components were used to display many successive values as a connected orbit.

  • Observed behaviors: Depending on c, an orbit could converge to one value, cycle among several values, behave erratically, or escape to infinity.
  • Magnitude: The distance of a complex value from the origin was calculated as √(R²+I²), using its real and imaginary parts.

Chaos and the fractal boundary

Tiny changes to c sometimes changed a bounded orbit into one that escaped to infinity. This sensitivity was connected to the butterfly effect and to the intricate boundary expected in a fractal.

Unfinished Desmos challenge

How can Desmos color or shade every point c according to whether its recursive orbit remains bounded or escapes? The attempted approach used an inequality based on the orbit’s distance from the origin, but the complex-variable inequality was not completed.

Reproduce and extend the construction

Study the shared Desmos graph, try to recode or reproduce the orbit animation, and investigate how to make the fractal boundary visible with inequalities.

Resources

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Jun42026
Session 1289 minutes together

Extending Euler’s formula

Session Overview

Sharva presented a Taylor-series generalization of Euler’s formula for a constant raised to an imaginary power, and the result was checked using logarithms. The main activity used complex parametric interpolation in Desmos to connect points on the unit circle, producing cardioid-like and mandala-like meshes. The session also briefly explored graph theory and hypercube counting before choosing complex-plane fractals as a future direction.

A good teacher doesn't program a student. A good teacher shows them the truth, and then the student exercises their freedom.
— The Bhakti Math Guru

Extending Euler’s formula

For a positive real constant C, rewrite C as e^(ln C): C^(ix) = e^(ix ln C) = cos(x ln C) + i sin(x ln C). Sharva’s derivative term leads to the same result because, for f(x)=C^x, f′(0)=ln C.

  • Verification strategy: Check a proposed generalization first against the familiar special case C=e, then test additional constants and values.

Complex interpolation and circle meshes

A line segment between complex numbers z₁ and z₂ can be parameterized by z(t)=t z₁+(1−t)z₂ for 0≤t≤1. Lists of angles were then used to connect each e^(iθ) to e^(iBθ); B=2 produced a cardioid-like envelope, while other values generated intricate mandala-like structures.

  • Why no explicit modulus was needed: Complex exponentials wrap around the unit circle automatically: e^(i(θ+nτ))=e^(iθ) for every integer n, where τ=2π.
  • Visual experimentation: Changing the number of points, connection multiplier, opacity, thickness, radius, and direction produced different meshes and spirals.

Graph theory and hypercubes

The meshes were related to graphs made from vertices and edges. A 4-dimensional hypercube has 16 vertices and 32 edges, while an n-dimensional cube has 2^n vertices; a 10-dimensional cube therefore has 1,024 vertices.

Future direction: complex-plane fractals

Sharva said he currently prefers going deeper into the complex plane rather than focusing on hypercube geometry. A future session may study the Julia and Mandelbrot sets, which are fractals generated through complex-number iteration.

Two-week binomial exploration

Investigate why Pascal’s Triangle gives the coefficients of powers such as (x+1)^3 and (x+1)^4, and how the same rows appear in low powers of 11. Look for a geometric explanation involving corners, edges, faces, cubes, or hypercubes.

  • Examples: (x+1)^3=x^3+3x^2+3x+1 and (x+1)^4=x^4+4x^3+6x^2+4x+1.

Wu Wei in mathematical work

Look up “Wu Wei,” meaning non-action, and experiment with applying it to mathematics: think gently rather than straining, allowing silence and effortlessness to reveal possible paths.

May282026
Session 1163 minutes together

Desmos explorations

Session Overview

You began by sharing your Desmos construction of exponential rotation and radial lines on the unit circle. The main lesson developed sine, cosine, exponential, and hyperbolic functions through Taylor series, connecting them to Euler’s formula, the complex plane, and differentiation. You also explored whether a function could return to itself after exactly three derivatives and discussed coding and mathematical writing as future directions.

Desmos explorations

Your exponential-rotation construction produced increasingly many points and connecting lines on the unit circle. A key design issue was controlling the angle directly rather than independently stepping the horizontal and vertical coordinates, which caused approximations instead of exact unit-circle values.

  • Second visualization: You also demonstrated an experiment comparing motion along linear and curved paths as a possible model of nonlinear time. The mathematical construction was promising, but its exact meaning still needed a clearer explanation.

Functions as infinite polynomials

Taylor series build familiar functions from polynomial terms. In particular, sin(x) uses alternating odd powers, cos(x) uses alternating even powers, and e^x uses every nonnegative integer power: sin(x)=Σ(-1)^n x^(2n+1)/(2n+1)!, cos(x)=Σ(-1)^n x^(2n)/(2n)!, and e^x=Σx^n/n!. Adding more terms improves the approximation over a wider interval.

  • Parity: Cosine is even and symmetric across the y-axis; sine is odd, so values at opposite inputs have opposite signs.
  • Computation: A computer can approximate sine by summing a finite number of Taylor-series terms rather than storing every possible sine value.

Euler’s formula and hyperbolic functions

Substituting ix into the series for e^x separates the even real terms from the odd imaginary terms, revealing e^(ix)=cos(x)+i sin(x). Removing the alternating signs produces hyperbolic sine and cosine: cosh(x)=(e^x+e^(-x))/2 and sinh(x)=(e^x-e^(-x))/2. Ordinary sine and cosine locate points on a circle, while sinh and cosh locate points on a hyperbola.

Derivatives visible term by term

Differentiating each Taylor-series term makes the derivative relationships transparent: sin′=cos, cos′=−sin, and (e^x)′=e^x. Hyperbolic functions alternate directly—sinh′=cosh and cosh′=sinh—so their second derivatives equal the original functions, whereas the second derivatives of sine and cosine are their negatives.

Can differentiation have a three-step cycle?

You asked whether a function could return to itself after exactly three derivatives rather than one, two, or four. This led to an initial exploration of third-order trigonometric, pseudo-hyperbolic, or hyper-trigonometric functions associated with third-order differential equations; the question remained open for deeper study.

Follow-up practice

Derive sinh(x)=(e^x−e^(−x))/2 by the same add-and-subtract algebra used for cosh. Also practice differentiating the Taylor series term by term so you can see the sine/cosine and sinh/cosh cycles directly.

Explain and code your mathematics

Write short explanations of your Desmos projects—even a precise one-sentence description—to clarify what each construction represents. For a summer project, consider rebuilding a visualization in code: drawing a segment from point A to point B is more direct in a programming environment, and your rigorous Desmos experience should transfer well.

  • Suggested scope: First consolidate the foundational Taylor-series and hyperbolic-function ideas from this session; later extensions could include hyperboloids, hyperbolic manifolds, and higher-dimensional geometry.
May212026
Session 1077 minutes together

Complex Multiplication, Rotation, and Roots

Session Overview

The session opened with mathematical graphics: GPU shaders, cube-map reflections, parametric surfaces, triangle meshes, and interpolation. The main lesson treated multiplication as transformation, showing how complex multiplication combines scaling and rotation and why roots of a number appear as evenly spaced points on the complex plane. Sharva verified a cube root of −1 algebraically and explored powers dynamically in Desmos.

Mathematics behind computer graphics

Reflections were generated with a cube map and surface-normal vectors rather than drawn lines. GLSL shaders perform many simple calculations in parallel on the GPU, while triangulated grids and interpolation make parametric surfaces appear smooth; continuous noise can control the surface height without producing abrupt randomness.

Complex multiplication as transformation

Multiplication can be understood as modifying an input through scaling, reflection, or rotation. Repeating the same transformation produces exponential behavior; on the complex plane, squaring doubles an angle, while the magnitude is squared.

  • Cube roots of −1: There are three: −1 and 1/2 ± i√3/2. Sharva expanded (1/2 + i√3/2)³ and confirmed that it equals −1.
  • Roots as geometry: The nth roots are evenly spaced rotations. For example, the cube roots of 1 occur at 0°, 120°, and 240°.
  • Geometry of 45°: For a unit diagonal, a square’s side is √(1/2) = √2/2 = sin 45° = cos 45°. This was understood visually through area rather than memorized as a formula.

Practice and optional challenge

  • Complex powers in Desmos: Use Complex Mode and a movable point z = a + bi. Plot z², z³, and further powers to observe angle multiplication, rotation, and changes in magnitude.
  • Algebra practice: Continue practicing binomial expansions and the quadratic formula, connecting the algebra to complex-plane geometry.
  • Visual geometry challenge: Without relying on a memorized formula—even the Pythagorean theorem by name—find a direct visual way to see why the height of a unit equilateral triangle is √3/2 = √(3/4).

Tools demonstrated

  • Desmos Complex Mode: Enabled from the graph settings to calculate and visualize complex powers dynamically.
  • Wolfram Alpha: Introduced as a useful way to inspect and check the multiple complex roots of numbers.
May72026
Session 967 minutes together

Sine-curve Desmos animation

Session Overview

Sharva shared a five-day Desmos animation that decomposes a sine curve into understandable shapes and calculates their areas. The lesson used unit-circle geometry and similar triangles to see exact trigonometric values rather than memorize them, then began a new exploration of imaginary and complex numbers. The discussion also connected opposites, zero, observation, and number systems with nondual philosophy.

And this is what I mean when I say the direct perception of mathematical truth.
— The Bhakti Math Guru

Sine-curve Desmos animation

Sharva spent about five days, usually 60–90 minutes per day, building an animation that divides a sine curve into comprehensible shapes and calculates their areas. This consistent work was recognized as a strong way to develop mathematical and visual-design skills.

Seeing exact trigonometric values

The six trigonometric functions were represented as geometric lengths around the unit circle. At 45°, the diagram makes tan(45°) = cot(45°) = 1 and sec(45°) = csc(45°) = √2 directly visible; at 60°, similar triangles show that tan(60°) = √3.

  • Similar triangles: Corresponding sides share one scale factor, even when the triangles are flipped or embedded inside one another.
  • Useful visual method: Match equal angles first, then identify each triangle’s hypotenuse, long leg, and short leg before comparing lengths.
  • Proof and perception: A proof establishes that a result is true; direct perception means being able to hold the geometry in mind and see why it is true.

Imaginary numbers as answers to new questions

Number systems were presented as expansions prompted by questions: negatives answer additive-inverse questions, rational numbers answer division questions, and i answers x² = −1. In the complex plane, real and imaginary components form a two-dimensional geometry in which roots can be understood through angles and rotations.

  • Square roots of −1: Both i and −i satisfy x² = −1.
  • A cube root of −1: The 60° complex number 1/2 + (√3/2)i, equivalently 1/2 + √(3/4)i, becomes −1 when raised to the third power.
  • Geometric connection: The real component is horizontal and the imaginary component is vertical, linking complex numbers back to unit-circle trigonometry.

Explore roots of −1

Approach the questions geometrically as well as algebraically.

  • Verify the cube root: Use binomial expansion to show that (1/2 + √(3/4)i)³ = −1, remembering that i² = −1.
  • Contemplate further roots: Investigate the cube, fourth, and fifth roots of −1 and consider where their answers belong on a circle in the complex plane.

Next sessions

After a one-week break, the next meeting will be in two weeks. Imaginary numbers were chosen as the next main topic, with flexibility to adjust the direction as the exploration develops.

Apr302026
Session 865 minutes together

Implicit Equations and Complex Rotation

Session Overview

The session opened with the mathematical significance of 12, then compared explicit, implicit, parametric, and polar descriptions. In Desmos, Sharva and Adam built a unit circle from right triangles, connecting x²+y²=1 with cos²θ+sin²θ=1. They then explored i, Euler’s formula, rotation in the complex plane, and powers such as i^i and 2^i.

Why 12 is special

The birthday discussion connected 12 with the twelve pentagons in Goldberg polyhedra, the twelve vertices of an icosahedron, base twelve—where twelve is written 10—and Jupiter’s roughly twelve-year orbit.

Four ways to describe mathematical relationships

An explicit equation directly gives one variable in terms of another, while an implicit equation states a condition that valid coordinate pairs must satisfy. The implicit circle x²+y²=1 avoids splitting the circle into y=√(1−x²) and y=−√(1−x²).

  • Explicit: A variable is directly defined, such as y=f(x). The session’s “standard” form was identified as explicit.
  • Implicit: A relationship is imposed without isolating a variable, such as x²+y²=1 or x²+y²+z²=1.
  • Parametric: Coordinates are parallel functions of a parameter, such as x(t)=cos(t) and y(t)=sin(t) for a unit circle.
  • Polar: A point is described using radius r and angle θ rather than x and y.

The unit circle is a family of Pythagorean triangles

For a point at angle θ on the unit circle, the horizontal and vertical components are x=cosθ and y=sinθ. Each radius is the hypotenuse of a right triangle of length 1, so x²+y²=1 becomes cos²θ+sin²θ=1.

  • Desmos construction: Spokes, horizontal and vertical legs, and points (cosθ,sinθ) were generated for many angles. Increasing the number of sampled angles made the outer circle emerge clearly.
  • Special point: At 45°, both coordinates are √(1/2)=√2/2≈0.707, and their squares add to 1.

Imaginary numbers and complex rotation

The number i was approached as a newly discovered number defined by i²=−1; Adam called such hidden possibilities “latent numbers.” On the complex plane, a+bi has real coordinate a and imaginary coordinate b, while Euler’s formula e^(iθ)=cosθ+i sinθ places complex exponentials on the unit circle.

  • Quarter turn: e^(iτ/4)=e^(iπ/2)=i, representing a 90° rotation from 1 to i.
  • Imaginary power: Using the principal value, i^i=e^(−τ/4)=e^(−π/2)≈0.2079, a real number. Other values arise from additional turns in the complex logarithm.
  • Another example: 2^i=e^(i ln 2)=cos(ln 2)+i sin(ln 2), so its magnitude is 1.

Does the trigonometric identity work at an imaginary input?

Sharva asked whether sin²(i)+cos²(i)=1. Adam said that it still works and used the question to begin exploring what an imaginary angle or exponent means; a full proof was left for deeper study.

Recreate the unit-circle construction

Rebuild the Desmos figure independently: generate angles from 0 to τ, draw each radius, use cosθ and sinθ to bound its horizontal and vertical legs, and plot (cosθ,sinθ). Then increase the number of angles and observe how the construction represents x²+y²=1.

Ask as soon as a step is unclear

Because the lesson moved quickly, Adam asked Sharva to voice every question or confusion immediately. Understanding the concept matters more than maintaining a particular pace.

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Apr232026
Session 770 minutes together

Polar Functions

Session Overview

Sharva connected floor-function quantization with polar graphing, beginning from simple lines and building toward spirals, reciprocal curves, and polar rose curves. The session clarified radians and tau geometrically, reviewed Cartesian–polar conversions, and began a “pizza-slice” construction for approximating polar area.

You learn to bring things as simply as possible, and that's a kind of mastery.
— The Bhakti Math Guru

Core mathematical ideas

The lesson emphasized understanding each graph directly from what its equation says.

  • Quantization: The expression floor(nf(x))/n rounds a function down in steps of size 1/n. Increasing n produces finer steps that lie increasingly close to the original function.
  • The basic polar spiral: For r = θ, each point’s radius equals its angle, producing an Archimedean spiral. In r = mθ + b, b changes the initial radius and m controls radial growth; negative radii plot in the opposite direction.
  • Radians and tau: One radian subtends an arc whose length equals the circle’s radius. A full turn contains τ = 2π radians, so one radian is 360/τ degrees, approximately 57.3°.
  • Reciprocal polar curves: For r = 1/θ, the radius is extremely large near θ = 0 and approaches zero as θ grows, so the curve spirals toward the origin. Changing the exponent changes how quickly the spiral contracts.
  • Polar roses: The graphs r = sin(nθ) form petals: odd integer n gives n petals, while even integer n gives 2n petals. Adding a constant changes the loops and can keep the curve from touching the origin.
  • Coordinate conversion: The reviewed formulas were x = r cos θ, y = r sin θ, r = √(x²+y²), and θ = arctan(y/x). Their geometric basis is a right triangle together with the Pythagorean theorem.

Study for the next session

Be ready to use Cartesian–polar conversion without relying only on memorized formulas.

  • Explain the conversions: Contemplate why x = r cos θ, y = r sin θ, r = √(x²+y²), and θ = arctan(y/x) follow geometrically.
  • Optional exploration: Continue converting equations such as r = sin(2θ) into Cartesian form and experiment with their parameters in Desmos.

Polar “pizza-slice” area construction

Continue the attempt to split a polar curve such as r = sin(2θ) into many small angular sectors. The arcs were generated in Desmos, but the radial boundary lines were not fully completed; increasing the number of sectors should lead toward a polar-area integral.

  • Reconstruction: Recreate and save the sector graph that could not be saved during the session.
  • Goal: Use each small sector’s area to understand how a sum of polar slices approaches an integral.

Open question about the floor function

The session raised whether the floor function has any meaningful kind of inverse, and how best to describe floor(nx)/n as n approaches infinity: every finite staircase is discontinuous, yet its values approach x. This was left for further thought.

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Apr162026
Session 672 minutes together

Polar Functions

Session Overview

The session began with an interactive geometry demonstration connecting the icosahedron, its dodecahedral dual, Goldberg polyhedra, and golden-ratio coordinates. The main lesson explored parametric surfaces and polar functions in Desmos, including torus equations, flower-like curves, quantized radii, and the sector-based idea behind polar area.

Polar functions

A polar equation defines r as a function of θ. In expressions such as r = d + a sin(ωθ), d changes the baseline radius, a changes the amplitude, and ω changes the number or frequency of bumps and petals. Cosine shifts the pattern, while tangent produces substantially different behavior.

Parametric curves become surfaces

One varying parameter traces a curve in two or three dimensions. Two independent parameters, such as u and v, fill a surface; the torus was constructed as an important example of a two-parameter surface.

Area of a polar region

Instead of thin rectangles, polar area is approximated with thin circular sectors—the “pizza slices” of the lesson. Each small sector has area approximately ½r²Δθ, so adding increasingly thin sectors leads to the polar-area integral ½∫r(θ)² dθ.

Quantizing a radius with the floor function

To round a function down to intervals of size 1/n, multiply by n, apply the floor function, and divide by n: floor(nf(θ))/n. For example, multiplying by 3, flooring, and dividing by 3 rounds down to thirds; increasing n gives a higher-resolution approximation.

Derive the volume of an icosahedron

Calculate the volume from scratch using the golden-ratio vertex coordinates. Find an edge length with the distance formula, calculate one triangular face’s area and centroid, find the perpendicular height to the icosahedron’s center, compute the resulting triangular pyramid’s volume, and multiply by 20 faces.

Create a polar-function flower grid

Design a grid of polar flower curves independently before looking up a solution. Experiment with the frequency and other parameters to control the petals and arrangement.

Make learned ideas your own

Learning from another person or seeing an existing idea is not automatically cheating. Aim to understand the construction deeply, rebuild it independently, vary it in your own way, and honestly assess whether you feel connected to the mathematics.

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Apr22026
Session 563 minutes together

Lissajous Grid

Session Overview

The session centered on building and animating a Lissajous grid in Desmos, with horizontal and vertical position determining the two oscillation frequencies. This led to a deeper study of frequency, wavelength, period, and their inverse relationship. Possible extensions included moving dots, guide lines, and a third dimension that turns circles into spirals.

Animated Lissajous grid

The grid pairs different horizontal and vertical oscillation frequencies in each cell. Moving across increases the x-frequency; moving down increases the y-frequency; equal-frequency cells along the diagonal form circles.

  • Animation: A shared parameter controlled how far every curve had been drawn, allowing the whole grid to animate together.
  • Spacing: A spacing variable S separated translated curves cleanly without manually adjusting every cell.
  • Possible extensions: Add moving endpoint dots, horizontal and vertical guide lines, or a z-axis representing time so circles become spirals with different tightness.
  • Desmos limitation: Because Desmos does not conveniently support lists of lists, the grid was organized using several separate lists. Processing was suggested as an alternative when two-dimensional arrays are needed.

Frequency, period, and wavelength

Frequency measures how many oscillations occur, while period or wavelength measures the spacing required for one complete cycle. As frequency rises, the period becomes shorter.

  • Period formula: T = τ/f
  • Equivalent forms: f = τ/T and fT = τ
  • Inverse proportion: Frequency and period are inversely proportional, not exponentially related.
  • Examples: For sin(x), sin(2x), and sin(3x), the periods are τ, τ/2, and τ/3 respectively.

Continue the exploration

Rebuild the Lissajous grid during free study periods and improve it repeatedly until the frequency structure and translations feel natural.

  • History of mathematics: Study Johannes Kepler and Tycho Brahe, especially how Brahe’s planetary observations helped Kepler determine planetary trajectories.
  • Original sources: Look for writings by Kepler himself rather than relying only on modern summaries.

People and works to explore

Learn more about Richard Feynman as an example of a playful scientist who built a strong foundation and gradually reached the frontier of current mathematics. Kepler’s Epitome of Copernican Astronomy and Harmonies of the World were mentioned as possible original works, though they may be challenging reading.

  • Optional display project: Turn the completed Lissajous grid into a printed wall poster as a visual reminder of the frequency patterns.

An open-ended limit question

If frequency increases without bound, the period approaches zero because T = τ/f. The session ended by asking whether this should be understood only as a limit or whether some physical or quantum transition could occur at extreme frequencies.

Schedule

Next week’s class will be skipped, followed by four consecutive sessions.

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Mar262026
Session 462 minutes together

Parametric equations and Lissajous curves

Session Overview

Sharva explored Lissajous curves in Desmos as an introduction to parametric equations, independently controlling the horizontal and vertical coordinates with oscillations. The session connected domains, frequency, amplitude, modulation, sound, and possible 3D extensions, while also introducing the teacher’s mathematical graphics engine.

I want a mathematical graph to feel like stepping into a piece of architecture.
— The Bhakti Math Guru

Parametric equations and Lissajous curves

A parametric curve defines the x- and y-coordinates separately using a third variable, usually t. Combining two sine oscillations creates a Lissajous curve, with its shape determined largely by the relationship between the horizontal and vertical frequencies.

  • Domain of t: Restricting t controls how much of the curve is drawn; increasing the endpoint reveals more of its path.
  • Frequency: Changing either frequency changes the number and arrangement of oscillations. Equal frequencies can produce a line unless one oscillation is phase-shifted.
  • Beyond trigonometry: Parametric equations can use many expressions, such as (t, t²) or (t², t), and can represent paths that are not ordinary functions of x.

Amplitude and modulation

A coefficient in front of a sine wave controls its amplitude. Making that coefficient depend on t—such as dividing by t or √t—causes the oscillations to shrink over time; using another trigonometric function as the coefficient creates amplitude modulation.

  • Sound connection: Frequency corresponds to pitch, while amplitude corresponds to volume. Desmos’s sound feature was used to listen to a changing waveform.
  • Low-frequency oscillation: A slow oscillator can modulate parameters such as amplitude or pitch, connecting the graphing experiment to synthesizer techniques.

MAGE mathematical graphics engine

The teacher introduced MAGE—Mathematical Graphics Engine—his software project for rendering mathematical forms as meshes and tubes rather than simple lines. Reflections are generated with vectors and a cube map, while GPU parallelism makes the intensive graphics calculations possible.

Unresolved frequency-modulation behavior

A waveform whose frequency was made dependent on x did not vary as regularly as expected when graphed and played. The teacher left the cause open for further thought and invited Sharva to investigate it too.

Study and experiment with the shared graph

Play with the Desmos construction during the week and try to understand how its parametric expressions and domains work.

  • Experiment: Vary the horizontal and vertical frequencies, amplitudes, and endpoint of the t-domain.
  • Observe: Compare close frequencies, multiples, and non-integer frequencies, noting when curves repeat or overlap.
  • Extend: Consider adding a z-coordinate to form a 3D parametric path, either with another oscillation or with z=t.
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Mar122026
Session 366 minutes together

Seeing the Golden Ratio Directly

Session Overview

The session developed a visual understanding of the difference-of-squares identity, then used the same rearrangement to construct the golden ratio from 1 and ½. It concluded by showing how three perpendicular golden rectangles determine an icosahedron’s 12 vertices and by planning visualization projects in Desmos or Processing.

So what we're doing in meditation and mathematics is we're clearing so we can be clear perceivers of truth.
— The Bhakti Math Guru

Direct perception of the difference of squares

Removing a smaller square of side b from a square of side a and rearranging the remaining pieces produces a rectangle with dimensions a+b and a−b. This makes a²−b²=(a+b)(a−b) visible rather than merely procedural.

  • Mental multiplication: Products centered around a known square become quick: 29×31=30²−1²=899, and 18×22=20²−2²=396.

Constructing the golden ratio from 1 and ½

A rectangle of area 1 has reciprocal side lengths. For the golden ratio, those lengths are φ and 1/φ, whose difference is exactly 1; their midpoint is therefore half a unit from each one.

  • Geometric form: The rearranged figure has area 1 plus a square of side ½, so its full square has area 1+(½)².
  • Golden-ratio identities: φ=√(1+(½)²)+½ and 1/φ=√(1+(½)²)−½. Simplifying the first expression gives φ=(√5+1)/2.
  • Fibonacci connection: Ratios of consecutive Fibonacci numbers approach φ, so the difference between a ratio and its reciprocal approaches 1—for example, 1597/987−987/1597 is closer to 1 than 987/610−610/987.

Golden rectangles and the icosahedron

Placing one golden rectangle in each of three perpendicular coordinate planes gives 12 corners. Those corners are the vertices of an icosahedron, making the golden ratio part of the solid’s dimensions.

Practices for internalizing the mathematics

The emphasis was on seeing and experiencing each idea directly, not only simplifying symbols or recalling a procedure.

  • Visual counting: Begin a math session by counting from 0 while visualizing each quantity in several ways—for example, 3 as triangular dots, 4 as a square or tetrahedron, 5 as a pentagram, and 6 as a hexagon or triangular number.
  • Difference-of-squares practice: Practice products of numbers equally spaced around a convenient center and recognize them as a²−b².
  • Golden-ratio contemplation: For about one minute each morning, evening, or another convenient time, reconstruct and see φ=√(1+(½)²)+½ until the geometry feels self-evident.
  • Fibonacci familiarity: Continue becoming familiar with the Fibonacci sequence through the terms below 1,000, including 610 and 987.

Build the visualizations yourself

The coding task was presented as optional but as a strong way to process and internalize the geometry.

  • Icosahedron construction: Use Processing or Desmos to create three perpendicular golden rectangles, connect their 12 corners into an icosahedron, and make the result rotatable. Processing may be easier because it can draw lines directly between 3D coordinates.
  • Circle-area construction: Continue the Desmos animation that unravels concentric circles into straight lengths. Add circles all the way to the center so the rearranged circumferences fill the complete triangle used to perceive the circle-area formula.

Schedule and next topic

After three consecutive sessions, the plan is to skip one week and meet again in two weeks, around 2026-03-26. The next topic was left undecided; Sharva may request another direction or continue exploring the golden ratio.

School of Futuristic Intelligence · Study deeply. Return often. Continue.