<rss xmlns:itunes="http://www.itunes.com/dtds/podcast-1.0.dtd" version="2.0">
  <channel>
    <title>MaplePrimes - answers and comments on Question, Solve equation of 13th order with symbolic coefficient</title>
    <link>http://www.mapleprimes.com/questions/135258-Solve-Equation-Of-13th-Order-With-Symbolic</link>
    <language>en-us</language>
    <copyright>2026 Maplesoft, A Division of Waterloo Maple Inc.</copyright>
    <generator>Maplesoft Document System</generator>
    <lastBuildDate>Wed, 10 Jun 2026 21:36:10 GMT</lastBuildDate>
    <pubDate>Wed, 10 Jun 2026 21:36:10 GMT</pubDate>
    <itunes:subtitle />
    <itunes:summary />
    <description>The latest answers and comments added to the Question, Solve equation of 13th order with symbolic coefficient</description>
    <image>
      <url>http://www.mapleprimes.com/images/mapleprimeswhite.jpg</url>
      <title>MaplePrimes - answers and comments on Question, Solve equation of 13th order with symbolic coefficient</title>
      <link>http://www.mapleprimes.com/questions/135258-Solve-Equation-Of-13th-Order-With-Symbolic</link>
    </image>
    <item>
      <title>degree too high</title>
      <link>http://www.mapleprimes.com/questions/135258-Solve-Equation-Of-13th-Order-With-Symbolic?ref=Feed:MaplePrimes:Solve equation of 13th order with symbolic coefficient:Comments#answer135274</link>
      <itunes:summary>&lt;p&gt;Why do you expect a specific answer? You may try to search for solvable polynomial equations (Google, Wikipedia) and yours is not in a form, that I would expect something good.&lt;/p&gt;
&lt;p&gt;Or as a rule of thumb: degree beyond 4 ---&amp;gt; forget it, impossible by theory. Or at least a bit more precise: one can not give explicit values using radicals (guessing that you expect such) in general&lt;/p&gt;
&lt;p&gt;And thus a Computer system will reject the task, if it can not detect a &lt;strong&gt;special&lt;/strong&gt; situation.&lt;/p&gt;
&lt;p&gt;&lt;a href="http://en.wikipedia.org/wiki/Polynomial#Solving_polynomial_equations"&gt;http://en.wikipedia.org/wiki/Polynomial#Solving_polynomial_equations&lt;/a&gt; says a bit more (and in the links there are 'cryptic' answers saying 'yes. we can', but actually that is *generally* useless, nobody knows how to handle that).&lt;/p&gt;</itunes:summary>
      <description>&lt;p&gt;Why do you expect a specific answer? You may try to search for solvable polynomial equations (Google, Wikipedia) and yours is not in a form, that I would expect something good.&lt;/p&gt;
&lt;p&gt;Or as a rule of thumb: degree beyond 4 ---&amp;gt; forget it, impossible by theory. Or at least a bit more precise: one can not give explicit values using radicals (guessing that you expect such) in general&lt;/p&gt;
&lt;p&gt;And thus a Computer system will reject the task, if it can not detect a &lt;strong&gt;special&lt;/strong&gt; situation.&lt;/p&gt;
&lt;p&gt;&lt;a href="http://en.wikipedia.org/wiki/Polynomial#Solving_polynomial_equations"&gt;http://en.wikipedia.org/wiki/Polynomial#Solving_polynomial_equations&lt;/a&gt; says a bit more (and in the links there are 'cryptic' answers saying 'yes. we can', but actually that is *generally* useless, nobody knows how to handle that).&lt;/p&gt;</description>
      <guid>135274</guid>
      <pubDate>Wed, 20 Jun 2012 00:06:19 Z</pubDate>
      <itunes:author>Axel Vogt</itunes:author>
      <author>Axel Vogt</author>
    </item>
    <item>
      <title>for what purpose</title>
      <link>http://www.mapleprimes.com/questions/135258-Solve-Equation-Of-13th-Order-With-Symbolic?ref=Feed:MaplePrimes:Solve equation of 13th order with symbolic coefficient:Comments#answer135276</link>
      <itunes:summary>&lt;p&gt;What do you plan on doing with such an explicit set of 13 formulas for the roots? What if it were 100s of pages long?&lt;/p&gt;
&lt;p&gt;Is it the case that, eventually, you will try and evaluate any of those formulas (or some mathematical function of them) at numeric values of theta?&lt;/p&gt;
&lt;p&gt;Let's suppose that, eventually, you would try and use numeric root (as a function of real-values theta). Instead of explicitly inverting that degree 13 polynomial in q[b] you could construct a procedure that takes a numeric value of theta and returns the roots in q[b].&lt;/p&gt;
&lt;p&gt;You could then pick off the smallest root, or do something else with them, for the given value of theta.&lt;/p&gt;
&lt;p&gt;eg.&lt;/p&gt;
&lt;pre&gt;expr := 472392*q[b]^13+(-10392624*theta+12597120*theta^2)*q[b]^12+(90069408*theta^2+110697192*theta^4-207222624*theta^3)*q[b]^11+(318718800*theta^6-394931376*theta^3-1213796664*theta^5
+1269661392*theta^4)*q[b]^10+(-3766288752*theta^5+4657375260*theta^6
+957739788*theta^4-1782380376*theta^7+14700393*theta^8)*q[b]^9+(207696*theta^10
+6288766560*theta^6-36914598*theta^9-1374185736*theta^5
+4234180392*theta^8-9185729832*theta^7)*q[b]^8+(19428192*theta^10-5820095184*theta^9
+10977610320*theta^8-6491850624*theta^7-116480*theta^11+1225901952*theta^6)*q[b]^7
+(-8848975200*theta^9+5424037888*theta^10+4454542848*theta^8-709841664*theta^7
+12076160*theta^11+25600*theta^12)*q[b]^6+(284107776*theta^8-2169162752*theta^9
+5185955328*theta^10-14362624*theta^12-3764956416*theta^11)*q[b]^5+(819093504*theta^10+2011156480*theta^12-95922176*theta^9-2311908352*theta^11
+5013504*theta^13)*q[b]^4+(-818036736*theta^13-276840448*theta^11
+810954752*theta^12-655360*theta^14+36864000*theta^10)*q[b]^3
+(-221405184*theta^13+240451584*theta^14+78905344*theta^12
-10616832*theta^11)*q[b]^2+(-45088768*theta^15+39190528*theta^14
-9437184*theta^13)*q[b]-3670016*theta^15+4194304*theta^16:

getqb := proc(th)
local ans;
    ans := fsolve(eval(expr, theta = th), q[b], args[2 .. -1]);
    if type([ans], list(complex(numeric))) then ans else NULL end if
end proc:

expr:=convert(expr,'horner',q[b]):

getqb(7.2);

getqb(2.3);

getqb(2.3, q[b]=0..1);

getqb(2.3, complex);

plot(t-&amp;gt;[getqb(t)][1],1..5); # 30-40 secs or so
&lt;/pre&gt;</itunes:summary>
      <description>&lt;p&gt;What do you plan on doing with such an explicit set of 13 formulas for the roots? What if it were 100s of pages long?&lt;/p&gt;
&lt;p&gt;Is it the case that, eventually, you will try and evaluate any of those formulas (or some mathematical function of them) at numeric values of theta?&lt;/p&gt;
&lt;p&gt;Let's suppose that, eventually, you would try and use numeric root (as a function of real-values theta). Instead of explicitly inverting that degree 13 polynomial in q[b] you could construct a procedure that takes a numeric value of theta and returns the roots in q[b].&lt;/p&gt;
&lt;p&gt;You could then pick off the smallest root, or do something else with them, for the given value of theta.&lt;/p&gt;
&lt;p&gt;eg.&lt;/p&gt;
&lt;pre&gt;expr := 472392*q[b]^13+(-10392624*theta+12597120*theta^2)*q[b]^12+(90069408*theta^2+110697192*theta^4-207222624*theta^3)*q[b]^11+(318718800*theta^6-394931376*theta^3-1213796664*theta^5
+1269661392*theta^4)*q[b]^10+(-3766288752*theta^5+4657375260*theta^6
+957739788*theta^4-1782380376*theta^7+14700393*theta^8)*q[b]^9+(207696*theta^10
+6288766560*theta^6-36914598*theta^9-1374185736*theta^5
+4234180392*theta^8-9185729832*theta^7)*q[b]^8+(19428192*theta^10-5820095184*theta^9
+10977610320*theta^8-6491850624*theta^7-116480*theta^11+1225901952*theta^6)*q[b]^7
+(-8848975200*theta^9+5424037888*theta^10+4454542848*theta^8-709841664*theta^7
+12076160*theta^11+25600*theta^12)*q[b]^6+(284107776*theta^8-2169162752*theta^9
+5185955328*theta^10-14362624*theta^12-3764956416*theta^11)*q[b]^5+(819093504*theta^10+2011156480*theta^12-95922176*theta^9-2311908352*theta^11
+5013504*theta^13)*q[b]^4+(-818036736*theta^13-276840448*theta^11
+810954752*theta^12-655360*theta^14+36864000*theta^10)*q[b]^3
+(-221405184*theta^13+240451584*theta^14+78905344*theta^12
-10616832*theta^11)*q[b]^2+(-45088768*theta^15+39190528*theta^14
-9437184*theta^13)*q[b]-3670016*theta^15+4194304*theta^16:

getqb := proc(th)
local ans;
    ans := fsolve(eval(expr, theta = th), q[b], args[2 .. -1]);
    if type([ans], list(complex(numeric))) then ans else NULL end if
end proc:

expr:=convert(expr,'horner',q[b]):

getqb(7.2);

getqb(2.3);

getqb(2.3, q[b]=0..1);

getqb(2.3, complex);

plot(t-&amp;gt;[getqb(t)][1],1..5); # 30-40 secs or so
&lt;/pre&gt;</description>
      <guid>135276</guid>
      <pubDate>Wed, 20 Jun 2012 01:11:01 Z</pubDate>
      <itunes:author>pagan</itunes:author>
      <author>pagan</author>
    </item>
    <item>
      <title>Asymptotics</title>
      <link>http://www.mapleprimes.com/questions/135258-Solve-Equation-Of-13th-Order-With-Symbolic?ref=Feed:MaplePrimes:Solve equation of 13th order with symbolic coefficient:Comments#answer135307</link>
      <itunes:summary>&lt;p&gt;We can solve it assigning theta:&lt;br&gt;&amp;gt; eq := 472392*q[b]^13+(-10392624*theta+12597120*theta^2)*q[b]^12+(90069408*theta^2+&lt;br&gt;110697192*theta^4-207222624*theta^3)*q[b]^11+(318718800*theta^6-394931376*theta^3-&lt;br&gt;1213796664*theta^5+1269661392*theta^4)*q[b]^10+(-3766288752*theta^5+&lt;br&gt;4657375260*theta^6+957739788*theta^4-1782380376*theta^7+&lt;br&gt;14700393*theta^8)*q[b]^9+(207696*theta^10+6288766560*theta^6-&lt;br&gt;36914598*theta^9-1374185736*theta^5+4234180392*theta^8-9185729832*theta^7)*q[b]^8+&lt;br&gt;(19428192*theta^10-5820095184*theta^9+10977610320*theta^8-6491850624*theta^7-&lt;br&gt;116480*theta^11+1225901952*theta^6)*q[b]^7+(-8848975200*theta^9+&lt;br&gt;5424037888*theta^10+4454542848*theta^8-709841664*theta^7+&lt;br&gt;12076160*theta^11+25600*theta^12)*q[b]^6+(284107776*theta^8-2169162752*theta^9+&lt;br&gt;5185955328*theta^10-14362624*theta^12-3764956416*theta^11)*q[b]^5+&lt;br&gt;(819093504*theta^10+2011156480*theta^12-95922176*theta^9-&lt;br&gt;2311908352*theta^11+5013504*theta^13)*q[b]^4+&lt;br&gt;(-818036736*theta^13-276840448*theta^11+&lt;br&gt;810954752*theta^12-655360*theta^14+36864000*theta^10)*q[b]^3+&lt;br&gt;(-221405184*theta^13+240451584*theta^14+78905344*theta^12-10616832*theta^11)*q[b]^2+&lt;br&gt;(-45088768*theta^15+39190528*theta^14-9437184*theta^13)*q[b]-&lt;br&gt;3670016*theta^15+4194304*theta^16;&lt;br&gt;&amp;gt; solve(eval(eq, theta = evalf((1/2)*Pi)), q[b]);# 13 roots&lt;br&gt;.3169642574, 1.811314241, 1.871481769+0.7720048819e-1*I, .9280360318+.5499794685*I,&lt;br&gt;&amp;nbsp;.7108967030+.4834578213*I, .1114735171+1.175988673*I, -16.20152794+3.126680769*I,&lt;br&gt;&amp;nbsp;-8.208842150, -16.20152794-3.126680769*I, .1114735171-1.175988673*I, &lt;br&gt;.7108967030-.4834578213*I, .9280360318-.5499794685*I, 1.871481769-0.7720048819e-1*I&lt;br&gt;Let's plot the zero level line of eq:&lt;br&gt;&amp;gt;plots:-implicitplot(eq = 0, theta = -6 .. 6, q[b] = -300 .. 10, numpoints = 10^6,&lt;br&gt;thickness = 2);&lt;/p&gt;
&lt;p&gt;&lt;img src="data:image/png;base64,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" alt=""&gt;&lt;br&gt;&amp;nbsp;&lt;br&gt;We see only one real root if abs(theta)&amp;gt;=2.5. In a larger scale the plot looks more &lt;br&gt;symmetric conserning the q[b]-axis for big theta.&lt;br&gt;Watching the plot, we make the suggestion that b[q]=a*theta^k asymptotically for big theta.&lt;br&gt;The numerical experiment gives the following.&lt;br&gt;&amp;gt; evalf(seq(log(-op(selectremove(c-&amp;gt; evalb(Im(c) &amp;lt;&amp;gt; 0), {solve(eval(eq, theta = evalf(10^j)), &lt;br&gt;q[b])})[2]))/(j*log(10)), j = 1 .. 20));&lt;br&gt;&amp;nbsp;#We select the real zero and calculate the ratio of its logarithm to the logarithm of theta for&lt;br&gt;theta=10^j.&lt;br&gt;&lt;br&gt;2.772058565, 2.401908740, 2.268958564, 2.201795099, 2.161442170, 2.134535650, &lt;br&gt;&lt;br&gt;&amp;nbsp; 2.115316315, 2.100901780, 2.089690471, 2.080721424, 2.073383113, &lt;br&gt;&lt;br&gt;&amp;nbsp; 2.067267853, 2.062093403, 2.057658160, 2.053814283, 2.050450890, &lt;br&gt;&lt;br&gt;&amp;nbsp; 2.047483190, 2.044845236, 2.042484960, 2.040360712&lt;br&gt;For j=100 we obtain 2.008072142.&lt;br&gt;Assuming k=2, we find an approximate value of a as the ratio&amp;nbsp; q[b](theta)/theta^2 for theta=10^j,&lt;br&gt;j=1..20.&lt;br&gt;&amp;gt; evalf(seq(op(selectremove(c-&amp;gt; evalb(Im(c) &amp;lt;&amp;gt; 0),&lt;br&gt;{solve(eval(eq, theta = evalf(10^j)), q[b])})[2])/10^(2*j), j = 1 .. 20));&lt;br&gt;&lt;br&gt;&amp;nbsp; -5.916414122, -6.365279527, -6.410260731, -6.414759778, -6.415209593, &lt;br&gt;&lt;br&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp; -6.415254624, -6.415259102, -6.415259633, -6.415259622, -6.415259619, &lt;br&gt;&lt;br&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp; -6.415259629, -6.415259629, -6.415259629, -6.415259629, -6.415259629, &lt;br&gt;&lt;br&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp; -6.415259629, -6.415259629, -6.415259629, -6.415259629, -6.415259629&lt;br&gt;In view of above we make a suggestion q[b] = -6.415259629*theta^2. The asympt command&lt;br&gt;fails to prove that both in Maple 13 (spinning) and Maple 16.01 &lt;br&gt;(a very doubtful result a*theta^(2/3) with a positve value of the parameter a is produced).&lt;br&gt;Let us follow the usual way of asymptotic analysis:&lt;br&gt;&amp;gt;collect(eval(eq, q[b] = a*theta^2), theta);&lt;/p&gt;
&lt;p&gt;&lt;img src="data:image/png;base64,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" alt=""&gt;&lt;br&gt;&amp;gt; fsolve(110697192*a^11+318718800*a^10+207696*a^8+472392*a^13+14700393*a^9+&lt;/p&gt;
&lt;p&gt;12597120*a^12);&lt;br&gt;&lt;br&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; -6.415259629, 0., 0., 0., 0., 0., 0., 0., 0.&lt;/p&gt;
&lt;p&gt;&lt;a href="/view.aspx?sf=135307/439038/degree.mw"&gt;degree.mw&lt;/a&gt;&lt;br&gt;&lt;br&gt;&lt;/p&gt;</itunes:summary>
      <description>&lt;p&gt;We can solve it assigning theta:&lt;br&gt;&amp;gt; eq := 472392*q[b]^13+(-10392624*theta+12597120*theta^2)*q[b]^12+(90069408*theta^2+&lt;br&gt;110697192*theta^4-207222624*theta^3)*q[b]^11+(318718800*theta^6-394931376*theta^3-&lt;br&gt;1213796664*theta^5+1269661392*theta^4)*q[b]^10+(-3766288752*theta^5+&lt;br&gt;4657375260*theta^6+957739788*theta^4-1782380376*theta^7+&lt;br&gt;14700393*theta^8)*q[b]^9+(207696*theta^10+6288766560*theta^6-&lt;br&gt;36914598*theta^9-1374185736*theta^5+4234180392*theta^8-9185729832*theta^7)*q[b]^8+&lt;br&gt;(19428192*theta^10-5820095184*theta^9+10977610320*theta^8-6491850624*theta^7-&lt;br&gt;116480*theta^11+1225901952*theta^6)*q[b]^7+(-8848975200*theta^9+&lt;br&gt;5424037888*theta^10+4454542848*theta^8-709841664*theta^7+&lt;br&gt;12076160*theta^11+25600*theta^12)*q[b]^6+(284107776*theta^8-2169162752*theta^9+&lt;br&gt;5185955328*theta^10-14362624*theta^12-3764956416*theta^11)*q[b]^5+&lt;br&gt;(819093504*theta^10+2011156480*theta^12-95922176*theta^9-&lt;br&gt;2311908352*theta^11+5013504*theta^13)*q[b]^4+&lt;br&gt;(-818036736*theta^13-276840448*theta^11+&lt;br&gt;810954752*theta^12-655360*theta^14+36864000*theta^10)*q[b]^3+&lt;br&gt;(-221405184*theta^13+240451584*theta^14+78905344*theta^12-10616832*theta^11)*q[b]^2+&lt;br&gt;(-45088768*theta^15+39190528*theta^14-9437184*theta^13)*q[b]-&lt;br&gt;3670016*theta^15+4194304*theta^16;&lt;br&gt;&amp;gt; solve(eval(eq, theta = evalf((1/2)*Pi)), q[b]);# 13 roots&lt;br&gt;.3169642574, 1.811314241, 1.871481769+0.7720048819e-1*I, .9280360318+.5499794685*I,&lt;br&gt;&amp;nbsp;.7108967030+.4834578213*I, .1114735171+1.175988673*I, -16.20152794+3.126680769*I,&lt;br&gt;&amp;nbsp;-8.208842150, -16.20152794-3.126680769*I, .1114735171-1.175988673*I, &lt;br&gt;.7108967030-.4834578213*I, .9280360318-.5499794685*I, 1.871481769-0.7720048819e-1*I&lt;br&gt;Let's plot the zero level line of eq:&lt;br&gt;&amp;gt;plots:-implicitplot(eq = 0, theta = -6 .. 6, q[b] = -300 .. 10, numpoints = 10^6,&lt;br&gt;thickness = 2);&lt;/p&gt;
&lt;p&gt;&lt;img src="data:image/png;base64,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" alt=""&gt;&lt;br&gt;&amp;nbsp;&lt;br&gt;We see only one real root if abs(theta)&amp;gt;=2.5. In a larger scale the plot looks more &lt;br&gt;symmetric conserning the q[b]-axis for big theta.&lt;br&gt;Watching the plot, we make the suggestion that b[q]=a*theta^k asymptotically for big theta.&lt;br&gt;The numerical experiment gives the following.&lt;br&gt;&amp;gt; evalf(seq(log(-op(selectremove(c-&amp;gt; evalb(Im(c) &amp;lt;&amp;gt; 0), {solve(eval(eq, theta = evalf(10^j)), &lt;br&gt;q[b])})[2]))/(j*log(10)), j = 1 .. 20));&lt;br&gt;&amp;nbsp;#We select the real zero and calculate the ratio of its logarithm to the logarithm of theta for&lt;br&gt;theta=10^j.&lt;br&gt;&lt;br&gt;2.772058565, 2.401908740, 2.268958564, 2.201795099, 2.161442170, 2.134535650, &lt;br&gt;&lt;br&gt;&amp;nbsp; 2.115316315, 2.100901780, 2.089690471, 2.080721424, 2.073383113, &lt;br&gt;&lt;br&gt;&amp;nbsp; 2.067267853, 2.062093403, 2.057658160, 2.053814283, 2.050450890, &lt;br&gt;&lt;br&gt;&amp;nbsp; 2.047483190, 2.044845236, 2.042484960, 2.040360712&lt;br&gt;For j=100 we obtain 2.008072142.&lt;br&gt;Assuming k=2, we find an approximate value of a as the ratio&amp;nbsp; q[b](theta)/theta^2 for theta=10^j,&lt;br&gt;j=1..20.&lt;br&gt;&amp;gt; evalf(seq(op(selectremove(c-&amp;gt; evalb(Im(c) &amp;lt;&amp;gt; 0),&lt;br&gt;{solve(eval(eq, theta = evalf(10^j)), q[b])})[2])/10^(2*j), j = 1 .. 20));&lt;br&gt;&lt;br&gt;&amp;nbsp; -5.916414122, -6.365279527, -6.410260731, -6.414759778, -6.415209593, &lt;br&gt;&lt;br&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp; -6.415254624, -6.415259102, -6.415259633, -6.415259622, -6.415259619, &lt;br&gt;&lt;br&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp; -6.415259629, -6.415259629, -6.415259629, -6.415259629, -6.415259629, &lt;br&gt;&lt;br&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp; -6.415259629, -6.415259629, -6.415259629, -6.415259629, -6.415259629&lt;br&gt;In view of above we make a suggestion q[b] = -6.415259629*theta^2. The asympt command&lt;br&gt;fails to prove that both in Maple 13 (spinning) and Maple 16.01 &lt;br&gt;(a very doubtful result a*theta^(2/3) with a positve value of the parameter a is produced).&lt;br&gt;Let us follow the usual way of asymptotic analysis:&lt;br&gt;&amp;gt;collect(eval(eq, q[b] = a*theta^2), theta);&lt;/p&gt;
&lt;p&gt;&lt;img src="data:image/png;base64,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" alt=""&gt;&lt;br&gt;&amp;gt; fsolve(110697192*a^11+318718800*a^10+207696*a^8+472392*a^13+14700393*a^9+&lt;/p&gt;
&lt;p&gt;12597120*a^12);&lt;br&gt;&lt;br&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; -6.415259629, 0., 0., 0., 0., 0., 0., 0., 0.&lt;/p&gt;
&lt;p&gt;&lt;a href="/view.aspx?sf=135307/439038/degree.mw"&gt;degree.mw&lt;/a&gt;&lt;br&gt;&lt;br&gt;&lt;/p&gt;</description>
      <guid>135307</guid>
      <pubDate>Thu, 21 Jun 2012 09:45:20 Z</pubDate>
      <itunes:author>Markiyan Hirnyk</itunes:author>
      <author>Markiyan Hirnyk</author>
    </item>
    <item>
      <title>thanks</title>
      <link>http://www.mapleprimes.com/questions/135258-Solve-Equation-Of-13th-Order-With-Symbolic?ref=Feed:MaplePrimes:Solve equation of 13th order with symbolic coefficient:Comments#answer135395</link>
      <itunes:summary>&lt;p&gt;thank you all for your help and the work that you did for me!&lt;/p&gt;
&lt;p&gt;the asymtotics idea is a great one-i haven't used it before. the problem is that the authors write that there exists a unique solution for q[a] and q[b]. i will try to contact them and ask them for a hint. again, thanks for your help, it will help me to solve my model-which is of higher degree.&lt;/p&gt;</itunes:summary>
      <description>&lt;p&gt;thank you all for your help and the work that you did for me!&lt;/p&gt;
&lt;p&gt;the asymtotics idea is a great one-i haven't used it before. the problem is that the authors write that there exists a unique solution for q[a] and q[b]. i will try to contact them and ask them for a hint. again, thanks for your help, it will help me to solve my model-which is of higher degree.&lt;/p&gt;</description>
      <guid>135395</guid>
      <pubDate>Mon, 25 Jun 2012 13:35:55 Z</pubDate>
      <itunes:author>dritsaev</itunes:author>
      <author>dritsaev</author>
    </item>
    <item>
      <title>purpose</title>
      <link>http://www.mapleprimes.com/questions/135258-Solve-Equation-Of-13th-Order-With-Symbolic?ref=Feed:MaplePrimes:Solve equation of 13th order with symbolic coefficient:Comments#comment135282</link>
      <itunes:summary>&lt;p&gt;Thank you for your response.&lt;/p&gt;
&lt;p&gt;I am trying to reproduce an economic model similar to mine. The purpose is to find the optimal q[a],q[b]. Thus,&amp;nbsp;I have to solve the following 2x2 system (FOC):&lt;/p&gt;
&lt;p&gt;&lt;img class="math" src="http://www.mapleprimes.com/MapleImage.ashx?f=8f524f0587d3af1080b667a612fd8d6d.gif" alt="2*q[a]*(q[a]-q[b])*(8*q[a]^3-6*q[a]^2*q[b]+6*q[a]*q[b]^2+q[b]^3)+18*q[a]*q[b]^3*theta-(20*q[a]+q[b])*q[b]^3*theta^2 = 0"&gt;&lt;/p&gt;
&lt;p&gt;&lt;img class="math" src="http://www.mapleprimes.com/MapleImage.ashx?f=068065e463e21649c7d7b0926bdc0fb8.gif" alt="16*q[a]^5-92*q[a]^4*q[b]+208*q[a]^3*q[b]^2-124*q[a]^2*q[b]^3+20*q[a]*q[b]^4-q[b]^5+16*q[a]*(q[a]-q[b])*(4*q[a]^2-11*q[a]*q[b]+q[b]^2)*theta+16*q[a]^2*(4*q[a]-7*q[b])*theta^2 = 0"&gt;&lt;/p&gt;
&lt;p&gt;They computed groebner bases, one of which-as they write- is the 12-order polynomial of q[b] which they solved and the result is: &amp;nbsp;q[b]=0.418*theta. inserting it into the 1st equation gives&amp;nbsp;&amp;nbsp;q[a]=0.779*theta.&lt;/p&gt;
&lt;p&gt;I used the groebner package but i have a 13-order polynomial in q[b] and i can't solve it. Note that all the parameters are real and positive.&lt;/p&gt;
&lt;p&gt;Any ideas?&lt;/p&gt;</itunes:summary>
      <description>&lt;p&gt;Thank you for your response.&lt;/p&gt;
&lt;p&gt;I am trying to reproduce an economic model similar to mine. The purpose is to find the optimal q[a],q[b]. Thus,&amp;nbsp;I have to solve the following 2x2 system (FOC):&lt;/p&gt;
&lt;p&gt;&lt;img class="math" src="http://www.mapleprimes.com/MapleImage.ashx?f=8f524f0587d3af1080b667a612fd8d6d.gif" alt="2*q[a]*(q[a]-q[b])*(8*q[a]^3-6*q[a]^2*q[b]+6*q[a]*q[b]^2+q[b]^3)+18*q[a]*q[b]^3*theta-(20*q[a]+q[b])*q[b]^3*theta^2 = 0"&gt;&lt;/p&gt;
&lt;p&gt;&lt;img class="math" src="http://www.mapleprimes.com/MapleImage.ashx?f=068065e463e21649c7d7b0926bdc0fb8.gif" alt="16*q[a]^5-92*q[a]^4*q[b]+208*q[a]^3*q[b]^2-124*q[a]^2*q[b]^3+20*q[a]*q[b]^4-q[b]^5+16*q[a]*(q[a]-q[b])*(4*q[a]^2-11*q[a]*q[b]+q[b]^2)*theta+16*q[a]^2*(4*q[a]-7*q[b])*theta^2 = 0"&gt;&lt;/p&gt;
&lt;p&gt;They computed groebner bases, one of which-as they write- is the 12-order polynomial of q[b] which they solved and the result is: &amp;nbsp;q[b]=0.418*theta. inserting it into the 1st equation gives&amp;nbsp;&amp;nbsp;q[a]=0.779*theta.&lt;/p&gt;
&lt;p&gt;I used the groebner package but i have a 13-order polynomial in q[b] and i can't solve it. Note that all the parameters are real and positive.&lt;/p&gt;
&lt;p&gt;Any ideas?&lt;/p&gt;</description>
      <guid>135282</guid>
      <pubDate>Wed, 20 Jun 2012 11:31:19 Z</pubDate>
      <itunes:author>dritsaev</itunes:author>
      <author>dritsaev</author>
    </item>
    <item>
      <title>Proof of the asymptotics</title>
      <link>http://www.mapleprimes.com/questions/135258-Solve-Equation-Of-13th-Order-With-Symbolic?ref=Feed:MaplePrimes:Solve equation of 13th order with symbolic coefficient:Comments#comment135316</link>
      <itunes:summary>&lt;p&gt;&amp;gt; A := collect(expand(eval(eq, q[b] = (a+r)*theta^2)), theta): #assumption q[b]=(a+r)*theta^2&lt;br&gt;&amp;gt; B := expand(simplify(A, {318718800*a^10+207696*a^8+472392*a^13+14700393*a^9+12597120*a^12+110697192*a^11 = 0})):&lt;/p&gt;
&lt;p&gt;#simplification under the relation that a=&lt;span&gt;-6.415259629&lt;/span&gt;&lt;/p&gt;
&lt;p&gt;&amp;gt;limit(solve(B, r), theta = infinity);&lt;/p&gt;
&lt;p&gt;&amp;nbsp; 0&lt;br&gt;&lt;br&gt;&lt;/p&gt;</itunes:summary>
      <description>&lt;p&gt;&amp;gt; A := collect(expand(eval(eq, q[b] = (a+r)*theta^2)), theta): #assumption q[b]=(a+r)*theta^2&lt;br&gt;&amp;gt; B := expand(simplify(A, {318718800*a^10+207696*a^8+472392*a^13+14700393*a^9+12597120*a^12+110697192*a^11 = 0})):&lt;/p&gt;
&lt;p&gt;#simplification under the relation that a=&lt;span&gt;-6.415259629&lt;/span&gt;&lt;/p&gt;
&lt;p&gt;&amp;gt;limit(solve(B, r), theta = infinity);&lt;/p&gt;
&lt;p&gt;&amp;nbsp; 0&lt;br&gt;&lt;br&gt;&lt;/p&gt;</description>
      <guid>135316</guid>
      <pubDate>Thu, 21 Jun 2012 15:08:46 Z</pubDate>
      <itunes:author>Markiyan Hirnyk</itunes:author>
      <author>Markiyan Hirnyk</author>
    </item>
  </channel>
</rss>