Differences between revisions 14 and 63 (spanning 49 versions)
Revision 14 as of 2012-04-18 19:47:54
Size: 30441
Editor: bvarberg
Comment:
Revision 63 as of 2016-05-09 09:56:58
Size: 48386
Editor: akhi
Comment:
Deletions are marked like this. Additions are marked like this.
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                    g += line([(j*2-len(cur),-i), ((k*2)-len(rows[i-1]),-i+1)],                      g += line([(j*2-len(cur),-i), ((k*2)-len(rows[i-1]),-i+1)],
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== Prime Spiral - Square == == Prime Spiral - Square FIXME ==
Line 101: Line 101:
    REFERENCES:      REFERENCES:
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        Weisstein, Eric W. "Prime-Generating Polynomial." From MathWorld--A Wolfram Web Resource. http://mathworld.wolfram.com/Prime-GeneratingPolynomial.html          Weisstein, Eric W. "Prime-Generating Polynomial." From MathWorld--A Wolfram Web Resource. http://mathworld.wolfram.com/Prime-GeneratingPolynomial.html
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        elif y<0 and -x >= y and y<x: return 4*(y+1)^2 -11*(y+1) + (start+7) +x          elif y<0 and -x >= y and y<x: return 4*(y+1)^2 -11*(y+1) + (start+7) +x
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    #Takes in an n and the start value of the spiral and gives its (x,y) coordinate      #Takes in an n and the start value of the spiral and gives its (x,y) coordinate
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        num = num - start +1          num = num - start +1
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        top = ceil(sqrt(num))             top = ceil(sqrt(num))
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            else:              else:
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            else:              else:
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        N = M.copy()         N = copy(M)
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    #These functions return an int based on where the t is located in the spiral 

    #These functions return an int based on where the t is located in the spiral
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    if n !=0: x_cord, y_cord = find_xy(n, start) #Overrides the user given x and y coordinates      if n !=0: x_cord, y_cord = find_xy(n, start) #Overrides the user given x and y coordinates
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    if show_lines: 
        for t in [(-size-1)..size+1]: 
    if show_lines:
        for t in [(-size-1)..size+1]:
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            if m.is_pseudoprime(): main_list.add(m)              if m.is_pseudoprime(): main_list.add(m)
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    #This for loop changes the matrix by spiraling out from the center and changing each entry as it goes. It is faster than the find_xy function above.      #This for loop changes the matrix by spiraling out from the center and changing each entry as it goes. It is faster than the find_xy function above.
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            else: x-=1              else: x-=1
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        elif county < overcount: 

        elif county < overcount:
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            else: y-=1              else: y-=1
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        else:          else:
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        if not invert and num in main_list: 

        if not invert and num in main_list:
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    if n != 0: 

    if n != 0:
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    else:      else:
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def polar_prime_spiral(start=1, end=2000, show_factors = false, highlight_primes = false, show_curves=true, n = 0): 

    #For more information about the factors in the spiral, visit http://www.dcs.gla.ac.uk/~jhw/spirals/index.html by John Williamson. 
def polar_prime_spiral(start=1, end=2000, show_factors = false, highlight_primes = false, show_curves=true, n = 0):

    #For more information about the factors in the spiral, visit http://www.dcs.gla.ac.uk/~jhw/spirals/index.html by John Williamson.
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        R = points(list2, alpha = .1) #Faded Composites 
    else: 
        R = points(list2, alpha = .1) #Faded Composites
    else:
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        R=points(list2, hue = .1, pointsize = p_size) 
    
        R=points(list2, hue = .1, pointsize = p_size)
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        Q = plot(W1+W2+W3+W4, alpha = .1)                   Q = plot(W1+W2+W3+W4, alpha = .1)
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        if show_curves:          if show_curves:
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            if n > (floor(sqrt(n)))^2 and n <= (floor(sqrt(n)))^2 + floor(sqrt(n)):              if n > (floor(sqrt(n)))^2 and n <= (floor(sqrt(n)))^2 + floor(sqrt(n)):
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            else:              else:
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            def g(m): return (a*m^2+b*m+c);              def g(m): return (a*m^2+b*m+c);
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            c= c2;              c= c2;
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j = 0
@interact
def _(N=[1..100], k=selector([2,4,..,12],nrows=1), prec=(3..40), 
@interact
def _(N=[1..100], k=selector([2,4,..,12],nrows=1), prec=(3..40),
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    print j; global j; j += 1
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    G = Graph(T, multiedges=True, loops=not three_d)     G = DiGraph(T, multiedges=not three_d)
    if three_d:
        G.remove_loops()
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== Quadratic Residue Table == == Quadratic Residue Table FIXME ==
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== Cubic Residue Table == == Cubic Residue Table FIXME ==
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        MP += line([(i,0),(i,r)], rgbcolor='black')          MP += line([(i,0),(i,r)], rgbcolor='black')
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    S = circle((0,0),1,rgbcolor='yellow')  \
    +
line([e_pt,e_gs_pt], rgbcolor='red', thickness=4) \
    +
line([f_pt,f_gs_pt], rgbcolor='blue', thickness=3) \
    +
line([ef_pt,ef_gs_pt], rgbcolor='purple',thickness=2) \
    +
point(e_pt,pointsize=50, rgbcolor='red')  \
    +
point(f_pt,pointsize=50, rgbcolor='blue') \
    +
point(ef_pt,pointsize=50,rgbcolor='purple') \
    +
point(f_gs_pt,pointsize=75, rgbcolor='black') \
    +
point(e_gs_pt,pointsize=75, rgbcolor='black') \
    +
point(ef_gs_pt,pointsize=75, rgbcolor='black') \
    +
point(js_pt,pointsize=100,rgbcolor='green')
    S = circle((0,0),1,rgbcolor='yellow')
    S +=
line([e_pt,e_gs_pt], rgbcolor='red', thickness=4)
    S +=
line([f_pt,f_gs_pt], rgbcolor='blue', thickness=3)
    S +=
line([ef_pt,ef_gs_pt], rgbcolor='purple',thickness=2)
    S +=
point(e_pt,pointsize=50, rgbcolor='red')
    S +=
point(f_pt,pointsize=50, rgbcolor='blue')
    S +=
point(ef_pt,pointsize=50,rgbcolor='purple')
    S +=
point(f_gs_pt,pointsize=75, rgbcolor='black')
    S +=
point(e_gs_pt,pointsize=75, rgbcolor='black')
    S +=
point(ef_gs_pt,pointsize=75, rgbcolor='black')
    S +=
point(js_pt,pointsize=100,rgbcolor='green')
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        S += text('$J(%s,%s) = %s$'%(latex2(e),latex2(f),latex(js)), \         S += text('$J(%s,%s) = %s$'%(latex2(e),latex2(f),latex(js)),
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    S = circle((0,0),1,rgbcolor='yellow')  \
    +
line([e_pt,e_gs_pt], rgbcolor='red', thickness=4) \
    +
line([f_pt,f_gs_pt], rgbcolor='blue', thickness=3) \
    +
line([ef_pt,ef_gs_pt], rgbcolor='purple',thickness=2) \
    +
point(e_pt,pointsize=50, rgbcolor='red')  \
    +
point(f_pt,pointsize=50, rgbcolor='blue') \
    +
point(ef_pt,pointsize=50,rgbcolor='purple') \
    +
point(f_gs_pt,pointsize=75, rgbcolor='black') \
    +
point(e_gs_pt,pointsize=75, rgbcolor='black') \
    +
point(ef_gs_pt,pointsize=75, rgbcolor='black') \
    +
point(js_pt,pointsize=100,rgbcolor='green')
    S = circle((0,0),1,rgbcolor='yellow')
    S +=
line([e_pt,e_gs_pt], rgbcolor='red', thickness=4)
    S +=
line([f_pt,f_gs_pt], rgbcolor='blue', thickness=3)
    S +=
line([ef_pt,ef_gs_pt], rgbcolor='purple',thickness=2)
    S +=
point(e_pt,pointsize=50, rgbcolor='red')
    S +=
point(f_pt,pointsize=50, rgbcolor='blue')
    S +=
point(ef_pt,pointsize=50,rgbcolor='purple')
    S +=
point(f_gs_pt,pointsize=75, rgbcolor='black')
    S +=
point(e_gs_pt,pointsize=75, rgbcolor='black')
    S +=
point(ef_gs_pt,pointsize=75, rgbcolor='black')
    S +=
point(js_pt,pointsize=100,rgbcolor='green')
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        S += text('$J(%s,%s) = %s$'%(latex2(e),latex2(f),latex(js)), \         S += text('$J(%s,%s) = %s$'%(latex2(e),latex2(f),latex(js)),
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        ga[i].save('j%d.PNG'%i,figsize=4,aspect_ratio=1, \         ga[i].save('j%d.png'%i,figsize=4,aspect_ratio=1,
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    html('<table bgcolor=lightgrey cellpadding=2>')     s='<table bgcolor=lightgrey cellpadding=2>'
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        html('<tr><td align="center"><img src="cell://j%d.PNG"></td>'%(2*i))
        html('<td align="center"><img src="cell://j%d.PNG"></td></tr>'%(2*i+1))
    html('</table>')
}}}
        s+='<tr><td align="center"><img src="cell://j%d.png"></td>'%(2*i)
        s+='<td align="center"><img src="cell://j%d.png"></td></tr>'%(2*i+1)
    s+='</table>'

    html(s)}}}
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    else:      else:
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def line_from_curve_points(E,P,Q,style='-',rgb=(1,0,0),length=25):
 """
 P,Q two points on an elliptic curve.
 Output is a graphic representation of the straight line intersecting with P,Q.
 """
 # The function tangent to P=Q on E
 if P == Q:
  if P[2]==0:
   return line([(1,-length),(1,length)],linestyle=style,rgbcolor=rgb)
  else:
   # Compute slope of the curve E in P
   l=-(3*P[0]^2 + 2*E.a2()*P[0] + E.a4() - E.a1()*P[1])/((-2)*P[1] - E.a1()*P[0] - E.a3())
   f(x) = l * (x - P[0]) + P[1]
   return plot(f(x),-length,length,linestyle=style,rgbcolor=rgb)
 # Trivial case of P != R where P=O or R=O then we get the vertical line from the other point
 elif P[2] == 0:
  return line([(Q[0],-length),(Q[0],length)],linestyle=style,rgbcolor=rgb)
 elif Q[2] == 0:
  return line([(P[0],-length),(P[0],length)],linestyle=style,rgbcolor=rgb)
 # Non trivial case where P != R
 else:
  # Case where x_1 = x_2 return vertical line evaluated in Q
  if P[0] == Q[0]:
   return line([(P[0],-length),(P[0],length)],linestyle=style,rgbcolor=rgb)

  #Case where x_1 != x_2 return line trough P,R evaluated in Q"
  l=(Q[1]-P[1])/(Q[0]-P[0])
  f(x) = l * (x - P[0]) + P[1]
  return plot(f(x),-length,length,linestyle=style,rgbcolor=rgb)
Line 687: Line 718:
 curve = E.plot(rgbcolor = (0,0,1),xmin=25,xmax=25,plot_points=300)  curve = E.plot(rgbcolor = (0,0,1),xmin=-5,xmax=5,plot_points=300)
Line 713: Line 744:

def line_from_curve_points(E,P,Q,style='-',rgb=(1,0,0),length=25):
 """
 P,Q two points on an elliptic curve.
 Output is a graphic representation of the straight line intersecting with P,Q.
 """
 # The function tangent to P=Q on E
 if P == Q:
  if P[2]==0:
   return line([(1,-length),(1,length)],linestyle=style,rgbcolor=rgb)
  else:
   # Compute slope of the curve E in P
   l=-(3*P[0]^2 + 2*E.a2()*P[0] + E.a4() - E.a1()*P[1])/((-2)*P[1] - E.a1()*P[0] - E.a3())
   f(x) = l * (x - P[0]) + P[1]
   return plot(f(x),-length,length,linestyle=style,rgbcolor=rgb)
 # Trivial case of P != R where P=O or R=O then we get the vertical line from the other point
 elif P[2] == 0:
  return line([(Q[0],-length),(Q[0],length)],linestyle=style,rgbcolor=rgb)
 elif Q[2] == 0:
  return line([(P[0],-length),(P[0],length)],linestyle=style,rgbcolor=rgb)
 # Non trivial case where P != R
 else:
  # Case where x_1 = x_2 return vertical line evaluated in Q
  if P[0] == Q[0]:
   return line([(P[0],-length),(P[0],length)],linestyle=style,rgbcolor=rgb)
  
  #Case where x_1 != x_2 return line trough P,R evaluated in Q"
  l=(Q[1]-P[1])/(Q[0]-P[0])
  f(x) = l * (x - P[0]) + P[1]
  return plot(f(x),-length,length,linestyle=style,rgbcolor=rgb)
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    print """
<
html>
    html("""
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</ol></html>
    """ % (bits, p, g, a, g, a, p, (g^a), b, g, b, p, (g^b), (g^b), a, p, 
       (g^ b)^a, g^a, b, p, (g^a)^b)
</ol>
    """ % (bits, p, g, a, g, a, p, (g^a), b, g, b, p, (g^b), (g^b), a, p,
       (g^ b)^a, g^a, b, p, (g^a)^b))
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def _(number=e, ymax=selector([None,5,20,..,400],nrows=2), clr=Color('purple'), prec=[500,1000,..,5000]): def _(number=e, ymax=selector([5,20,..,400],nrows=2), clr=Color('purple'), prec=[500,1000,..,5000]):
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def _(gen = selector(['t+1', 't-1', '-1/t'], nrows=1)): def _(gen = selector(['t+1', 't-1', '-1/t'], buttons=True,nrows=1)):
Line 871: Line 871:

= Multiple Zeta Values =
by Akhilesh P.
== Computing Multiple Zeta values ==
=== Word Input ===
{{{#!sagecell
R=RealField(10)
@interact
def _( weight=(5,(2..100))):
 n=weight
 a=[0 for i in range(n-1)]
 a.append(1)
 @interact
 def _(v=('word', input_grid(1, n, default=[a], to_value=lambda x: vector(flatten(x)))), accuracy=(100..100000)):
  D=accuracy
  a=[v[i] for i in range(len(v))]
  DD=int(3.321928*D)+int(R(log(3.321928*D))/R(log(10)))+4
  RIF=RealIntervalField(DD)
  def Li(word):
        n=int(DD*log(10)/log(2))+1
        B=[]
        L=[]
        S=[]
        count=-1
        k=len(word)
        for i in range(k):
                B.append(RIF('0'))
                L.append(RIF('0'))
                if(word[i]==1 and i<k-1):
                        S.append(RIF('0'))
                        count=count+1
        T=RIF('1')
        for m in range(n):
                T=T/2
                B[k-1]=RIF('1')/(m+1)
                j=count
                for i in range(k-2,-1,-1):
                        if(word[i]==0):
                                B[i]=B[i+1]/(m+1)
                        elif(word[i]==1):
                                B[i]=S[j]/(m+1)
                                S[j]=S[j]+B[i+1]
                                j=j-1
                        L[i]=T*B[i]+L[i]
                L[k-1]=T*B[k-1]+L[k-1]
        return(L)
  def dual(a):
        b=list()
        b=a
        b=b[::-1]
        for i in range(len(b)):
                b[i]=1-b[i]
        return(b)
  def zeta(a):
        b=dual(a)
        l1=Li(a)+[1]
        l2=Li(b)+[1]
        Z=RIF('0')
        for i in range(len(l1)):
                Z=Z+l1[i]*l2[len(a)-i]
        return(Z)
  u=zeta(a)
  RIF=RealIntervalField(int(3.321928*D))
  u=u/1
  print u
}}}
{{attachment:akhi1.png}}
=== Composition Input ===
{{{#!sagecell
R=RealField(10)
@interact
def _( Depth=(5,(2..100))):
 n=Depth
 a=[2]
 a=a+[1 for i in range(n-1)]
 @interact
 def _(v=('Composition', input_grid(1, n, default=[a], to_value=lambda x: vector(flatten(x)))), accuracy=(100..100000)):
  D=accuracy
  a=[v[i] for i in range(len(v))]
  def comptobin(a):
        word=[]
        for i in range(len(a)):
                word=word+[0]*(a[i]-1)+[1]
        return(word)
  a=comptobin(a)
  DD=int(3.321928*D)+int(R(log(3.321928*D))/R(log(10)))+4
  RIF=RealIntervalField(DD)
  def Li(word):
        n=int(DD*log(10)/log(2))+1
        B=[]
        L=[]
        S=[]
        count=-1
        k=len(word)
        for i in range(k):
                B.append(RIF('0'))
                L.append(RIF('0'))
                if(word[i]==1 and i<k-1):
                        S.append(RIF('0'))
                        count=count+1
        T=RIF('1')
        for m in range(n):
                T=T/2
                B[k-1]=RIF('1')/(m+1)
                j=count
                for i in range(k-2,-1,-1):
                        if(word[i]==0):
                                B[i]=B[i+1]/(m+1)
                        elif(word[i]==1):
                                B[i]=S[j]/(m+1)
                                S[j]=S[j]+B[i+1]
                                j=j-1
                        L[i]=T*B[i]+L[i]
                L[k-1]=T*B[k-1]+L[k-1]
        return(L)
  def dual(a):
        b=list()
        b=a
        b=b[::-1]
        for i in range(len(b)):
                b[i]=1-b[i]
        return(b)
  def zeta(a):
        b=dual(a)
        l1=Li(a)+[1]
        l2=Li(b)+[1]
        Z=RIF('0')
        for i in range(len(l1)):
                Z=Z+l1[i]*l2[len(a)-i]
        return(Z)
  u=zeta(a)
  RIF=RealIntervalField(int(3.321928*D))
  u=u/1
  print u
}}}
{{attachment:akhi5.png}}
== Program to Compute Integer Relation between Multiple Zeta Values ==
{{{#!sagecell
from mpmath import *
print "Enter the number of composition"
@interact
def _( n=(5,(2..100))):
 a=[]
 for i in range(n):
        a.append([i+2,1])
 print "In each box Enter composition as an array"
 @interact
 def _(v=('Compositions', input_box( default=a, to_value=lambda x: vector(flatten(x)))), accuracy=(100..100000)):
  D=accuracy
  R=RealField(10)
  a=v
  def comptobin(a):
        word=[]
        for i in range(len(a)):
                word=word+[0]*(a[i]-1)+[1]
        return(word)
  DD=int(D)+int(R(log(3.321928*D))/R(log(10)))+4
  RIF=RealIntervalField(DD)
  mp.dps=DD
  def Li(word):
        n=int(DD*log(10)/log(2))+1
        B=[]
        L=[]
        S=[]
        count=-1
        k=len(word)
        for i in range(k):
                B.append(mpf('0'))
                L.append(mpf('0'))
                if(word[i]==1 and i<k-1):
                        S.append(mpf('0'))
                        count=count+1
        T=mpf('1')
        for m in range(n):
                T=T/2
                B[k-1]=mpf('1')/(m+1)
                j=count
                for i in range(k-2,-1,-1):
                        if(word[i]==0):
                                B[i]=B[i+1]/(m+1)
                        elif(word[i]==1):
                                B[i]=S[j]/(m+1)
                                S[j]=S[j]+B[i+1]
                                j=j-1
                        L[i]=T*B[i]+L[i]
                L[k-1]=T*B[k-1]+L[k-1]
        return(L)
  def dual(a):
        b=list()
        b=a
        b=b[::-1]
        for i in range(len(b)):
                b[i]=1-b[i]
        return(b)
  def zeta(a):
        b=dual(a)
        l1=Li(a)+[1]
        l2=Li(b)+[1]
        Z=mpf('0')
        for i in range(len(l1)):
                Z=Z+l1[i]*l2[len(a)-i]
        return(Z)
  zet=[]
  for i in range(n):
        zet.append((zeta(comptobin(a[i]))))
  mp.dps=D
  for i in range(n):
        zet[i]=zet[i]/1
        print "zeta(",a[i],")=",zet[i]
  u=pslq(zet,tol=10**-D,maxcoeff=100,maxsteps=10000)
  print "the Intger Relation between the above zeta values given by the vector"
  print u
}}}
{{attachment:akhi10.png}}
== Word to composition ==
{{{#!sagecell
@interact
def _( weight=(7,(2..100))):
 n=weight
 a=[0 for i in range(n-1)]
 a.append(1)
 @interact
 def _(v=('word', input_grid(1, n, default=[a], to_value=lambda x: vector(flatten(x))))):
  a=[v[i] for i in range(len(v))]
  def bintocomp(a):
 b=[]
 count=1
 for j in range(len(a)):
  if(a[j]==0):
   count=count+1
  else:
   b.append(count)
   count=1
 return(b)
  print "Composition is ",bintocomp(a)
}}}

{{attachment:akhi2.png}}
== Composition to Word ==
{{{#!sagecell
@interact
def _( Depth=(7,(1..100))):
 n=Depth
 a=[]
 a.append(2)
 a=a+[1 for i in range(1,n)]
 @interact
 def _(v=('composition', input_grid(1, n, default=[a], to_value=lambda x: vector(flatten(x))))):
  a=[v[i] for i in range(len(v))]
  def comptobin(a):
 word=[]
 for i in range(len(a)):
  word=word+[0]*(a[i]-1)+[1]
 return(word)

  print "Word is ",comptobin(a)
}}}

{{attachment:akhi3.png}}
== Dual of a Word ==
{{{#!sagecell
@interact
def _( weight=(7,(2..100))):
 n=weight
 a=[0 for i in range(n-1)]
 a.append(1)
 @interact
 def _(v=('word', input_grid(1, n, default=[a], to_value=lambda x: vector(flatten(x))))):
  a=[v[i] for i in range(len(v))]
  def dual(a):
 b=list()
 b=a
 b=b[::-1]
 for i in range(len(b)):
  b[i]=1-b[i]
 return(b)

  print "Dual word is ",dual(a)
}}}

{{attachment:akhi4.png}}


== Shuffle product of two Words ==
{{{#!sagecell
@interact
def _( w1=(2,(2..100)), w2=(2,(2..100))):
 a=[0]
 b=[0 for i in range(w2-1)]
 a=a+[1 for i in range(1,w1)]
 b=b+[1]
 import itertools
 #this program gives the list of all binary words of weight n and depth k
 @interact
 def _(v1=('word1', input_grid(1, w1, default=[a], to_value=lambda x: vector(flatten(x)))), v2=('word2', input_grid(1, w2, default=[b], to_value=lambda x: vector(flatten(x))))):
  a=[v1[i] for i in range(len(v1))]
  b=[v2[i] for i in range(len(v2))]
  def kbits(n, k):
    result = []
    for bits in itertools.combinations(range(n), k):
        s = ['0'] * n
        for bit in bits:
            s[bit] = '1'
        result.append(''.join(s))
    return result
  def sort(a,l,m):
        b=[]
        n=len(a)
        for i in range(n):
                b.append(a[i])
        for j in range(l-1,-1,-1):
                k=0
                for t in range(m+1):
                        for i in range(n):
                                if(a[i][j]== t):
                                        b[k]=a[i]
                                        k=k+1
                for i in range(n):
                        a[i]=b[i]
        return(a)
  def count(a):
        n=len(a)
        b=[]
        b.append(a[0])
        m=[]
        m.append(1)
        c=0
        for i in range(1,n):
                if(a[i]==a[i-1]):
                        m[c]=m[c]+1
                else:
                        b.append(a[i])
                        m.append(1)
                        c=c+1
        return(b,m)
  def shuffle(a,b):
        r=len(a)
        s=len(b)
        # Generating an array of strings containing all combinations of weight r+s and depth s
        M=kbits(r+s,s)
        n=len(M)
        a1= []
        for i in range(n):
                a1.append(list(M[i]))
        # The zeroes are replaced by the entries of a and the ones by the entries of b
        a2= []
        for i in range(n):
                a2.append([])
                count0=0
                count1=0
                for j in range(s+r):
                        if(a1[i][j]=='0'):
                                a2[i].append(a[count0])
                                count0=count0+1
                        if(a1[i][j]=='1'):
                                a2[i].append(b[count1])
                                count1=count1+1
        # Reordering in lexicographic order the entries of a2: this is done by first reordering them according to the last digit, then the next to last digit, etc
        a3=sort(a2,r+s,max(a+b+[0]))
        # Getting the same list without repetitions and with multiplicities
        a4=count(a3)
        return(a4)
  c=shuffle(a,b)
  for i in range(len(c[0])-1):
    print c[1][i],"*",c[0][i] ,"+ ",
  print c[1][len(c[0])-1],"*",c[0][len(c[0])-1]


}}}
{{attachment:akhi6.png}}
== Shuffle Regularization at 0 ==
{{{#!sagecell
@interact
def _( w=(2,(2..100))):
 a=[0]
 a=a+[1 for i in range(1,w)]
 import itertools
 #this program gives the list of all binary words of weight n and depth k
 @interact
 def _(v=('word', input_grid(1, w, default=[a], to_value=lambda x: vector(flatten(x))))):
  a=[v[i] for i in range(len(v))]
  def kbits(n, k):
    result = []
    for bits in itertools.combinations(range(n), k):
        s = ['0'] * n
        for bit in bits:
            s[bit] = '1'
        result.append(''.join(s))
    return result
  def sort(a,l,m):
 b=[]
 n=len(a)
 for i in range(n):
  b.append(a[i])
 for j in range(l-1,-1,-1):
  k=0
  for t in range(m+1):
   for i in range(n):
    if(a[i][j]== t):
     b[k]=a[i]
     k=k+1
  for i in range(n):
   a[i]=b[i]
 return(a)

  def sort1(a,l,m):
 b=[]
 b.append([])
 b.append([])
 n=len(a[0])
 for i in range(n):
  b[0].append(a[0][i])
  b[1].append(a[1][i])
 for j in range(l-1,-1,-1):
  k=0
  for t in range(m+1):
   for i in range(n):
    if(a[0][i][j]== t):
     b[0][k]=a[0][i]
     b[1][k]=a[1][i]
     k=k+1
  for i in range(n):
   a[0][i]=b[0][i]
   a[1][i]=b[1][i]
 return(a)

  def count(a):
 n=len(a)
 b=[]
 b.append(a[0])
 m=[]
 m.append(1)
 c=0
 for i in range(1,n):
  if(a[i]==a[i-1]):
   m[c]=m[c]+1
  else:
   b.append(a[i])
   m.append(1)
   c=c+1
 return(b,m)


  def count1(a):
 n=len(a[0])
 b=[]
 b.append([])
 b.append([])
 b[0].append(a[0][0])
 b[1].append(a[1][0])
 c=0
 for i in range(1,n):
  if(a[0][i]==a[0][i-1]):
   b[1][c]=b[1][c]+a[1][i]
  else:
   b[0].append(a[0][i])
   b[1].append(a[1][i])
   c=c+1

 return(b)
  def shuffle(a,b):
        r=len(a)
        s=len(b)
        # Generating an array of strings containing all combinations of weight r+s and depth s
        M=kbits(r+s,s)
        n=len(M)
        a1= []
        for i in range(n):
                a1.append(list(M[i]))
        # The zeroes are replaced by the entries of a and the ones by the entries of b
        a2= []
        for i in range(n):
                a2.append([])
                count0=0
                count1=0
                for j in range(s+r):
                        if(a1[i][j]=='0'):
                                a2[i].append(a[count0])
                                count0=count0+1
                        if(a1[i][j]=='1'):
                                a2[i].append(b[count1])
                                count1=count1+1
        # Reordering in lexicographic order the entries of a2: this is done by first reordering them according to the last digit, then the next to last digit, etc
        a3=sort(a2,r+s,max(a+b+[0]))
        # Getting the same list without repetitions and with multiplicities
        a4=count(a3)
        return(a4)
  def Regshuf0(a):
        r=[]
        r.append([])
        r.append([])
        t=0
        c=1
        for i in range(len(a)+1):
                if(t==0):
                        b=shuffle(a[:len(a)-i],a[len(a)-i:])
                        for j in range(len(b[0])):
                                r[0].append(b[0][j])
                                r[1].append(b[1][j]*c)
                        c=-c
                        if(i<len(a)):
                                if(a[len(a)-1-i]==1):
                                        t=1
        r=sort1(r,len(a),max(a+[0]))
        r=count1(r)
        rg=[]
        rg.append([])
        rg.append([])
        for i in range(len(r[0])):
                if(r[1][i] is not 0):
                        rg[0].append(r[0][i])
                        rg[1].append(r[1][i])
        return(rg)
  c=Regshuf0(a)
  for i in range(len(c[0])-1):
    if(c[1][i] != 0):
      print c[1][i],"*",c[0][i] ,"+ ",
  if(c[1][len(c[0])-1] != 0):
    print c[1][len(c[0])-1],"*",c[0][len(c[0])-1]


}}}
{{attachment:akhi7.png}}
== Shuffle Regularization at 1 ==
{{{#!sagecell
@interact
def _( w=(2,(2..20))):
 a=[0]
 a=a+[1 for i in range(1,w)]
 import itertools
 #this program gives the list of all binary words of weight n and depth k
 @interact
 def _(v=('word', input_grid(1, w, default=[a], to_value=lambda x: vector(flatten(x))))):
  a=[v[i] for i in range(len(v))]
  def kbits(n, k):
    result = []
    for bits in itertools.combinations(range(n), k):
        s = ['0'] * n
        for bit in bits:
            s[bit] = '1'
        result.append(''.join(s))
    return result
  def sort(a,l,m):
 b=[]
 n=len(a)
 for i in range(n):
  b.append(a[i])
 for j in range(l-1,-1,-1):
  k=0
  for t in range(m+1):
   for i in range(n):
    if(a[i][j]== t):
     b[k]=a[i]
     k=k+1
  for i in range(n):
   a[i]=b[i]
 return(a)

  def sort1(a,l,m):
 b=[]
 b.append([])
 b.append([])
 n=len(a[0])
 for i in range(n):
  b[0].append(a[0][i])
  b[1].append(a[1][i])
 for j in range(l-1,-1,-1):
  k=0
  for t in range(m+1):
   for i in range(n):
    if(a[0][i][j]== t):
     b[0][k]=a[0][i]
     b[1][k]=a[1][i]
     k=k+1
  for i in range(n):
   a[0][i]=b[0][i]
   a[1][i]=b[1][i]
 return(a)

  def count(a):
 n=len(a)
 b=[]
 b.append(a[0])
 m=[]
 m.append(1)
 c=0
 for i in range(1,n):
  if(a[i]==a[i-1]):
   m[c]=m[c]+1
  else:
   b.append(a[i])
   m.append(1)
   c=c+1
 return(b,m)


  def count1(a):
 n=len(a[0])
 b=[]
 b.append([])
 b.append([])
 b[0].append(a[0][0])
 b[1].append(a[1][0])
 c=0
 for i in range(1,n):
  if(a[0][i]==a[0][i-1]):
   b[1][c]=b[1][c]+a[1][i]
  else:
   b[0].append(a[0][i])
   b[1].append(a[1][i])
   c=c+1

 return(b)
  def shuffle(a,b):
        r=len(a)
        s=len(b)
        # Generating an array of strings containing all combinations of weight r+s and depth s
        M=kbits(r+s,s)
        n=len(M)
        a1= []
        for i in range(n):
                a1.append(list(M[i]))
        # The zeroes are replaced by the entries of a and the ones by the entries of b
        a2= []
        for i in range(n):
                a2.append([])
                count0=0
                count1=0
                for j in range(s+r):
                        if(a1[i][j]=='0'):
                                a2[i].append(a[count0])
                                count0=count0+1
                        if(a1[i][j]=='1'):
                                a2[i].append(b[count1])
                                count1=count1+1
        # Reordering in lexicographic order the entries of a2: this is done by first reordering them according to the last digit, then the next to last digit, etc
        a3=sort(a2,r+s,max(a+b+[0]))
        # Getting the same list without repetitions and with multiplicities
        a4=count(a3)
        return(a4)
  def Regshuf1(a):
 r=[]
 r.append([])
 r.append([])
 t=0
 c=1
 for i in range(len(a)+1):
  if(t==0):
   b=shuffle(a[:i],a[i:])
   for j in range(len(b[0])):
    r[0].append(b[0][j])
    r[1].append(b[1][j]*c)
   c=-c
   if(i<len(a)):
    if(a[i]==0):
     t=1
 r=sort1(r,len(a),max(a+[0]))
 r=count1(r)
 rg=[]
 rg.append([])
 rg.append([])
 for i in range(len(r[0])):
  if(r[1][i] is not 0):
   rg[0].append(r[0][i])
   rg[1].append(r[1][i])
 return(rg)
  c=Regshuf1(a)
  for i in range(len(c[0])-1):
    if(c[1][i] != 0):
      print c[1][i],"*",c[0][i] ,"+ ",
  if(c[1][len(c[0])-1] != 0):
    print c[1][len(c[0])-1],"*",c[0][len(c[0])-1]


}}}
{{attachment:akhi8.png}}

Integer Factorization

Divisibility Poset

by William Stein

divposet.png

Factor Trees

by William Stein

factortree.png

More complicated demonstration using Mathematica: http://demonstrations.wolfram.com/FactorTrees/

Factoring an Integer

by Timothy Clemans

Sage implementation of the Mathematica demonstration of the same name. http://demonstrations.wolfram.com/FactoringAnInteger/

Prime Numbers

Illustrating the prime number theorem

by William Stein

primes.png

Prime Spiral - Square FIXME

by David Runde

SquareSpiral.PNG

Prime Spiral - Polar

by David Runde

PolarSpiral.PNG

Modular Forms

Computing modular forms

by William Stein

modformbasis.png

Computing the cuspidal subgroup

by William Stein

cuspgroup.png

A Charpoly and Hecke Operator Graph

by William Stein

heckegraph.png

Modular Arithmetic

Quadratic Residue Table FIXME

by Emily Kirkman

quadres.png

quadresbig.png

Cubic Residue Table FIXME

by Emily Kirkman

cubres.png

Cyclotomic Fields

Gauss and Jacobi Sums in Complex Plane

by Emily Kirkman

jacobising.png

Exhaustive Jacobi Plotter

by Emily Kirkman

jacobiexh.png

Elliptic Curves

Adding points on an elliptic curve

by David Møller Hansen

PointAddEllipticCurve.png

Plotting an elliptic curve over a finite field

ellffplot.png

Cryptography

The Diffie-Hellman Key Exchange Protocol

by Timothy Clemans and William Stein

dh.png

Other

Continued Fraction Plotter

by William Stein

contfracplot.png

Computing Generalized Bernoulli Numbers

by William Stein (Sage-2.10.3)

bernoulli.png

Fundamental Domains of SL_2(ZZ)

by Robert Miller

fund_domain.png

Multiple Zeta Values

by Akhilesh P.

Computing Multiple Zeta values

Word Input

akhi1.png

Composition Input

akhi5.png

Program to Compute Integer Relation between Multiple Zeta Values

akhi10.png

Word to composition

akhi2.png

Composition to Word

akhi3.png

Dual of a Word

akhi4.png

Shuffle product of two Words

akhi6.png

Shuffle Regularization at 0

akhi7.png

Shuffle Regularization at 1

akhi8.png

interact/number_theory (last edited 2020-06-14 09:10:48 by chapoton)