Skip to main content

Mathematics solving Ai tailored to NCERT

Project description

Math AI Documentation

Source

Github repository of the code https://github.com/infinity390/mathai4

Philosophy

I think it is a big realization in computer science and programming to realize that computers can solve mathematics.
This understanding should be made mainstream. It can help transform education, mathematical research, and computation of mathematical equations for work.

Societal Implications Of Such A Computer Program And The Author's Comment On Universities Of India

I think mathematics is valued by society because of education. Schools and universities teach them.
So this kind of software, if made mainstream, could bring real change.

The Summary Of How Computer "Solves" Math

Math equations are a tree data structure (TreeNode class).
We can manipulate the math equations using various algorithms (functions provided by the mathai library).
We first parse the math equation strings to get the tree data structure (parse function in mathai).

The Library

Import the library by doing:

from mathai import *

str_form

It is the string representation of a TreeNode math equation.

Example

(cos(x)^2)+(sin(x)^2)

Is represented internally as:

f_add
 f_pow
  f_cos
   v_0
  d_2
 f_pow
  f_sin
   v_0
  d_2

Leaf Nodes

Variables (start with a v_ prefix):

  • v_0 -> x
  • v_1 -> y
  • v_2 -> z
  • v_3 -> a

Numbers (start with d_ prefix; only integers):

  • d_-1 -> -1
  • d_0 -> 0
  • d_1 -> 1
  • d_2 -> 2

Branch Nodes

  • f_add -> addition
  • f_mul -> multiplication
  • f_pow -> power

parse

Takes a math equation string and outputs a TreeNode object.

from mathai import *

equation = parse("sin(x)^2+cos(x)^2")
print(equation)

Output

(cos(x)^2)+(sin(x)^2)

simplify

It simplifies and cleans up a given math equation.

from mathai import *

equation = simplify(parse("(x+x+x+x-1-1-1-1)*(4*x-4)*sin(sin(x+x+x)*sin(3*x))"))
printeq(equation)

Output

((-4+(4*x))^2)*sin((sin((3*x))^2))

Incomplete Documentation, Will be updated and completed later on

Demonstrations

Example Demonstration 1 (absolute value inequalities)

from mathai import *
question_list_from_lecture = [
    "2*x/(2*x^2 + 5*x + 2) > 1/(x + 1)",
    "(x + 2)*(x + 3)/((x - 2)*(x - 3)) <= 1",
    "(5*x - 1) < (x + 1)^2 & (x + 1)^2 < 7*x - 3",
    "(2*x - 1)/(2*x^3 + 3*x^2 + x) > 0",
    "abs(x + 5)*x + 2*abs(x + 7) - 2 = 0",
    "x*abs(x) - 5*abs(x + 2) + 6 = 0",
    "x^2 - abs(x + 2) + x > 0",
    "abs(abs(x - 2) - 3) <= 2",
    "abs(3*x - 5) + abs(8 - x) = abs(3 + 2*x)",
    "abs(x^2 + 5*x + 9) < abs(x^2 + 2*x + 2) + abs(3*x + 7)"
]

for item in question_list_from_lecture:
  eq = simplify(parse(item))
  eq = dowhile(eq, absolute)
  eq = simplify(factor1(fraction(eq)))
  eq = prepare(eq)
  eq = factor2(eq)
  c = wavycurvy(eq & domain(eq)).fix()
  print(c)

Output

(-2,-1)U(-(2/3),-(1/2))
(-inf,0)U(2,3)U{0}
(2,4)
(-inf,-1)U(-(1/2),0)U(1/2,+inf)
{-4,-3,-(3/2)-(sqrt(57)/2)}
{-1,(5/2)-(sqrt(89)/2),(5/2)+(sqrt(41)/2)}
(-inf,-sqrt(2))U((2*sqrt(2))/2,+inf)
(-3,1)U(3,7)U{1,-3,7,3}
(5/3,8)U{5/3,8}
(-inf,-(7/3))

Example Demonstration 2 (trigonometry)

from mathai import *
def nested_func(eq_node):
    eq_node = fraction(eq_node)
    eq_node = simplify(eq_node)
    eq_node = trig1(eq_node)
    eq_node = trig0(eq_node)
    return eq_node
for item in ["(cosec(x)-cot(x))^2=(1-cos(x))/(1+cos(x))", "cos(x)/(1+sin(x)) + (1+sin(x))/cos(x) = 2*sec(x)",\
             "tan(x)/(1-cot(x)) + cot(x)/(1-tan(x)) = 1 + sec(x)*cosec(x)", "(1+sec(x))/sec(x) = sin(x)^2/(1-cos(x))",\
             "(cos(x)-sin(x)+1)/(cos(x)+sin(x)-1) = cosec(x)+cot(x)"]:
  eq = logic0(dowhile(parse(item), nested_func))
  print(eq)

Output

true
true
true
true
true

Example Demonstration 3 (integration)

from mathai import *

eq = simplify(parse("integrate(2*x/(x^2+1),x)"))
eq = integrate_const(eq)
eq = integrate_fraction(eq)
print(simplify(fraction(simplify(eq))))

eq = simplify(parse("integrate(sin(cos(x))*sin(x),x)"))
eq = integrate_subs(eq)
eq = integrate_const(eq)
eq = integrate_formula(eq)
eq = integrate_clean(eq)
print(simplify(eq))

eq = simplify(parse("integrate(x*sqrt(x+2),x)"))
eq = integrate_subs(eq)
eq = integrate_const(eq)
eq = integrate_formula(eq)
eq = expand(eq)
eq = integrate_const(eq)
eq = integrate_summation(eq)
eq = simplify(eq)
eq = integrate_const(eq)
eq = integrate_formula(eq)
eq = integrate_clean(eq)
print(simplify(fraction(simplify(eq))))

eq = simplify(parse("integrate(x/(e^(x^2)),x)"))
eq = integrate_subs(eq)
eq = integrate_const(eq)
eq = integrate_formula(eq)
eq = simplify(eq)
eq = integrate_formula(eq)
eq = integrate_clean(eq)
print(simplify(eq))

eq = fraction(trig0(trig1(simplify(parse("integrate(sin(x)^4,x)")))))
eq = integrate_const(eq)
eq = integrate_summation(eq)
eq = integrate_formula(eq)
eq = integrate_const(eq)
eq = integrate_formula(eq)
print(factor0(simplify(fraction(simplify(eq)))))

Output

log(abs((1+(x^2))))
cos(cos(x))
((6*((2+x)^(5/2)))-(20*((2+x)^(3/2))))/15
-((e^-(x^2))/2)
-(((8*sin((2*x)))-(12*x)-sin((4*x)))/32)

Example Demonstration 4 (derivation of hydrogen atom's ground state energy in electron volts using the variational principle in quantum physics)

from mathai import *;
def auto_integration(eq):
    for _ in range(3):
        eq=dowhile(integrate_subs(eq),lambda x:integrate_summation(integrate_const(integrate_formula(simplify(expand(x))))));
        out=integrate_clean(copy.deepcopy(eq));
        if "f_integrate" not in str_form(out):return dowhile(out,lambda x:simplify(fraction(x)));
        eq=integrate_byparts(eq);
    return eq;
z,k,m,e1,hbar=map(lambda s:simplify(parse(s)),["1","8987551787","9109383701*10^(-40)","1602176634*10^(-28)","1054571817*10^(-43)"]);
pi,euler,r=tree_form("s_pi"),tree_form("s_e"),parse("r");a0=hbar**2/(k*e1**2*m);psi=((z**3/(pi*a0**3)).fx("sqrt"))*euler**(-(z/a0)*r);
laplace_psi=diff(r**2*diff(psi,r.name),r.name)/r**2;V=-(k*z*e1**2)/r;Hpsi=-hbar**2/(2*m)*laplace_psi+V*psi;
norm=lambda f:simplify(
    limit3(limit2(expand(TreeNode("f_limitpinf",[auto_integration(TreeNode("f_integrate",[f*parse("4")*pi*r**2,r])),r]))))
    -limit1(TreeNode("f_limit",[auto_integration(TreeNode("f_integrate",[f*parse("4")*pi*r**2,r])),r]))
);
print(compute(norm(psi*Hpsi)/(norm(psi**2)*e1)));

Output

-13.605693122882867

Example Demonstration 5 (boolean algebra)

from mathai import *
print(logic_n(simplify(parse("~(p<->q)<->(~p<->q)"))))
print(logic_n(simplify(parse("(p->q)<->(~q->~p)"))))

Output

true
true

Example Demonstration 6 (limits)

from mathai import *
limits = ["(e^(tan(x)) - 1 - tan(x)) / x^2", "sin(x)/x", "(1-cos(x))/x^2", "(sin(x)-x)/sin(x)^3"]
for q in limits:
    q = fraction(simplify(TreeNode("f_limit",[parse(q),parse("x")])))
    q = limit1(q)
    print(q)

Output

1/2
1
1/2
-(1/6)

Project details


Release history Release notifications | RSS feed

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

mathai-0.9.4.tar.gz (40.6 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

mathai-0.9.4-py3-none-any.whl (46.4 kB view details)

Uploaded Python 3

File details

Details for the file mathai-0.9.4.tar.gz.

File metadata

  • Download URL: mathai-0.9.4.tar.gz
  • Upload date:
  • Size: 40.6 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.12.4

File hashes

Hashes for mathai-0.9.4.tar.gz
Algorithm Hash digest
SHA256 47cb8a1e1d112d31bf3f093f6e7b547d089a26e30e57b68912348a22c7756717
MD5 3b1f112c2bc214279d7cda37ebbf7144
BLAKE2b-256 e189971e7cee3aeea9d448c14859297b78471fb2d5efaabbe380432bb7da8d3a

See more details on using hashes here.

File details

Details for the file mathai-0.9.4-py3-none-any.whl.

File metadata

  • Download URL: mathai-0.9.4-py3-none-any.whl
  • Upload date:
  • Size: 46.4 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.12.4

File hashes

Hashes for mathai-0.9.4-py3-none-any.whl
Algorithm Hash digest
SHA256 31a2383e863e2c4f4f7776ff56b1d2efbe232b34b01b081389dfad2ae493828a
MD5 1016aa8887608f56a6c4f8d58988d8b1
BLAKE2b-256 9f9b79b035e5401bb6eb37de403417de560f4df49f5370f988340271d51da295

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page