Ternary plot

A ternary flammability diagram, showing which mixtures of methane, oxygen gas, and inert nitrogen gas will burn

A ternary plot, ternary graph, triangle plot, simplex plot, or Gibbs triangle is a barycentric plot on three variables which sum to a constant.^[1] It graphically depicts the ratios of the three variables as positions in an equilateral triangle. It is used in physical chemistry, petrology, mineralogy, metallurgy, and other physical sciences to show the compositions of systems composed of three species. Ternary plots are tools for analyzing compositional data in the three-dimensional case.

In population genetics, a triangle plot of genotype frequencies is called a de Finetti diagram. In game theory^[2] and convex optimization,^[3] it is often called a simplex plot.

In a ternary plot, the values of the three variables $a$ , $b$ , and $c$ must sum to some constant, $K$ . Usually, this constant is represented as 1.0 or 100%. Because $a + b + c = K$ for all substances being graphed, any one variable is not independent of the others, so only two variables must be known to find a sample's point on the graph: for instance, $c$ must be equal to $K - a - b$ . Because the three numerical values cannot vary independently—there are only two degrees of freedom—it is possible to graph the combinations of all three variables in only two dimensions.

The advantage of using a ternary plot for depicting chemical compositions is that three variables can be conveniently plotted in a two-dimensional graph. Ternary plots can also be used to create phase diagrams by outlining the composition regions on the plot where different phases exist.

The values of a point on a ternary plot correspond (up to a constant) to its trilinear coordinates or barycentric coordinates.

Reading values on a ternary plot

There are three equivalent methods that can be used to determine the values of a point on the plot:

Parallel line or grid method. The first method is to use a diagram grid consisting of lines parallel to the triangle edges. A parallel to a side of the triangle is the locus of points constant in the component situated in the vertex opposed to the side. Each component is 100% in a corner of the triangle and 0% at the edge opposite it, decreasing linearly with increasing distance (perpendicular to the opposite edge) from this corner. By drawing parallel lines at regular intervals between the zero line and the corner, fine divisions can be established for easy estimation.
Perpendicular line or altitude method. For diagrams that do not possess grid lines, the easiest way to determine the values is to determine the shortest (i.e. perpendicular) distances from the point of interest to each of the three sides. By Viviani's theorem, the distances (or the ratios of the distances to the triangle height) give the value of each component.
Corner line or intersection method. The third method does not require the drawing of perpendicular or parallel lines. Straight lines are drawn from each corner, through the point of interest, to the opposite side of the triangle. The lengths of these lines, as well as the lengths of the segments between the point and the corresponding sides, are measured individually. The ratio of the measured lines then gives the component value as a fraction of 100%.

A displacement along a parallel line (grid line) preserves the sum of two values, while motion along a perpendicular line increases (or decreases) the two values an equal amount, each half of the decrease (increase) of the third value. Motion along a line through a corner preserves the ratio of the other two values.

Figure 1. Altitude method
Figure 2. Intersection method
Figure 3. An example ternary diagram, without any points plotted.
Figure 4. An example ternary diagram, showing increments along the first axis.
Figure 5. An example ternary diagram, showing increments along the second axis.
Figure 6. An example ternary diagram, showing increments along the third axis.
Figure 7. Empty ternary plot
Figure 8. Indication of how the three axes work.
Unlabeled triangle plot with major grid lines
Unlabeled triangle plot with major and minor grid lines

Derivation from Cartesian coordinates

Derivation of a ternary plot from Cartesian coordinates

Figure (1) shows an oblique projection of point $P(a, b, c)$ in a 3-dimensional Cartesian space with axes $a$ , $b$ and $c$ , respectively.

If $a + b + c = K$ (a positive constant), $P$ is restricted to a plane containing $A(K,0,0)$ , $B(0, K,0)$ and $C(0,0, K)$ . If $a$ , $b$ and $c$ each cannot be negative, $P$ is restricted to the triangle bounded by $A$ , $B$ and $C$ , as in (2).

In (3), the axes are rotated to give an isometric view. The triangle, viewed face-on, appears equilateral.

In (4), the distances of $P$ from lines $BC$ , $AC$ and $AB$ are denoted by $a'$ , $b'$ and $c'$ , respectively.

For any line $l = s + t n̂$ in vector form ( $n̂$ is a unit vector) and a point $p$ , the perpendicular distance from $p$ to $l$ is

\left\|(\mathbf {s} -\mathbf {p} )-{\bigl (}(\mathbf {s} -\mathbf {p} )\cdot \mathbf {\hat {n}} {\bigr )}\mathbf {\hat {n}} \right\|\,.

In this case, point $P$ is at

\mathbf {p} ={\begin{pmatrix}a\\b\\c\end{pmatrix}}\,.

Line $BC$ has

\mathbf {s} ={\begin{pmatrix}0\\K\\0\end{pmatrix}}\quad {\text{and}}\quad \mathbf {\hat {n}} ={\frac {{\begin{pmatrix}0\\K\\0\end{pmatrix}}-{\begin{pmatrix}0\\0\\K\end{pmatrix}}}{\left\|{\begin{pmatrix}0\\K\\0\end{pmatrix}}-{\begin{pmatrix}0\\0\\K\end{pmatrix}}\right\|}}={\frac {\begin{pmatrix}0\\K\\-K\end{pmatrix}}{\sqrt {0^{2}+K^{2}+{(-K)}^{2}}}}={\begin{pmatrix}0\\{\frac {1}{\sqrt {2}}}\\-{\frac {1}{\sqrt {2}}}\end{pmatrix}}\,.

Using the perpendicular distance formula,

{\begin{aligned}a'&=\left\|{\begin{pmatrix}-a\\K-b\\-c\end{pmatrix}}-\left({\begin{pmatrix}-a\\K-b\\-c\end{pmatrix}}\cdot {\begin{pmatrix}0\\{\frac {1}{\sqrt {2}}}\\-{\frac {1}{\sqrt {2}}}\end{pmatrix}}\right){\begin{pmatrix}0\\{\frac {1}{\sqrt {2}}}\\-{\frac {1}{\sqrt {2}}}\end{pmatrix}}\right\|\\[10px]&=\left\|{\begin{pmatrix}-a\\K-b\\-c\end{pmatrix}}-\left(0+{\frac {K-b}{\sqrt {2}}}+{\frac {c}{\sqrt {2}}}\right){\begin{pmatrix}0\\{\frac {1}{\sqrt {2}}}\\-{\frac {1}{\sqrt {2}}}\end{pmatrix}}\right\|\\[10px]&=\left\|{\begin{pmatrix}-a\\K-b-{\frac {K-b+c}{2}}\\-c+{\frac {K-b+c}{2}}\end{pmatrix}}\right\|=\left\|{\begin{pmatrix}-a\\{\frac {K-b-c}{2}}\\{\frac {K-b-c}{2}}\end{pmatrix}}\right\|\\[10px]&={\sqrt {{(-a)}^{2}+{\left({\frac {K-b-c}{2}}\right)}^{2}+{\left({\frac {K-b-c}{2}}\right)}^{2}}}={\sqrt {a^{2}+{\frac {{(K-b-c)}^{2}}{2}}}}\,.\end{aligned}}

Substituting $K = a + b + c$ ,

a'={\sqrt {a^{2}+{\frac {{(a+b+c-b-c)}^{2}}{2}}}}={\sqrt {a^{2}+{\frac {a^{2}}{2}}}}=a{\sqrt {\frac {3}{2}}}\,.

Similar calculation on lines $AC$ and $AB$ gives

b'=b{\sqrt {\frac {3}{2}}}\quad {\text{and}}\quad c'=c{\sqrt {\frac {3}{2}}}\,.

This shows that the distance of the point from the respective lines is linearly proportional to the original values $a$ , $b$ and $c$ .^[4]

Plotting a ternary plot

Analogue on a Cartesian grid by adding lines of slope −1. The scale of the c axis is ${\textstyle {\frac {1}{\sqrt {2}}}}$ that of the a and b axes. The cross denotes the point a = b = c.

Cartesian coordinates are useful for plotting points in the triangle. Consider an equilateral ternary plot where $a = 100%$ is placed at $(x, y) = (0,0)$ and $b = 100%$ at $(1,0)$ . Then $c = 100%$ is ${\textstyle ({\frac {1}{2}},{\frac {\sqrt {3}}{2}}),}$ and the triple $(a, b, c)$ is

\left({\frac {1}{2}}\cdot {\frac {2b+c}{a+b+c}},{\frac {\sqrt {3}}{2}}\cdot {\frac {c}{a+b+c}}\right)\,.

Example

A colorized soil textural triangle from the United States Department of Agriculture

This example shows how this works for a hypothetical set of three soil samples:

Sample	Clay	Silt	Sand	Notes
Sample 1	50%	20%	30%	Because clay and silt together make up 70% of this sample, the proportion of sand must be 30% for the components to sum to 100%.
Sample 2	10%	60%	30%	The proportion of sand is 30% as in Sample 1, but as the proportion of silt rises by 40%, the proportion of clay decreases correspondingly.
Sample 3	10%	30%	60%	This sample has the same proportion of clay as Sample 2, but the proportions of silt and sand are swapped; the plot is reflected about its vertical axis.

Plotting the points

Plotting Sample 1 (step 1):
Find the 50% clay line
Plotting Sample 1 (step 2):
Find the 20% silt line
Plotting Sample 1 (step 3):
Being dependent on the first two, the intersect is on the 30% sand line
Plotting all the samples
Ternary triangle plot of soil types sand clay and silt programmed with Mathematica

List of notable ternary diagrams

Chromaticity diagram
de Finetti diagram
Dalitz plot
Flammability diagram
Jensen cation plot
Piper diagram, used in hydrochemistry
UIGS Classification diagram for Ultramafic rock
USDA Soil texture diagram by particle sizes

References

^ Weisstein, Eric W. "Ternary Diagram". mathworld.wolfram.com. Retrieved 2021-06-05.
^ Karl Tuyls, "An evolutionary game-theoretic analysis of poker strategies", Entertainment Computing January 2009 doi:10.1016/j.entcom.2009.09.002, p. 9
^ Boyd, S. and Vandenberghe, L., 2004. Convex optimization. Cambridge university press.
^ Vaughan, Will (September 5, 2010). "Ternary plots". Archived from the original on December 20, 2010. Retrieved September 7, 2010.

External links

"Excel Template for Ternary Diagrams". serc.carleton.edu. Science Education Resource Center (SERC) Carleton College. Retrieved 14 May 2020.
"Tri-plot: Ternary diagram plotting software". www.lboro.ac.uk. Loughborough University – Department of Geography / Resources Gateway home > Tri-plot. Retrieved 14 May 2020.
"Ternary Plot Generator – Quickly create ternary diagrams on line". www.ternaryplot.com. Retrieved 14 May 2020.
Holland, Steven (2016). "Data Analysis in the Geosciences – Ternary Diagrams developed in the R language". strata.uga.edu. University of Georgia. Retrieved 14 May 2020.

[1] Weisstein, Eric W. "Ternary Diagram". mathworld.wolfram.com. Retrieved 2021-06-05.

[2] Karl Tuyls, "An evolutionary game-theoretic analysis of poker strategies", Entertainment Computing January 2009 doi:10.1016/j.entcom.2009.09.002, p. 9

[3] Boyd, S. and Vandenberghe, L., 2004. Convex optimization. Cambridge university press.

[Vaughan-4] Vaughan, Will (September 5, 2010). "Ternary plots". Archived from the original on December 20, 2010. Retrieved September 7, 2010.

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v t e Chemical solutions
Solution	Ideal solution Aqueous solution Solid solution Buffer solution Flory–Huggins Mixture Suspension Colloid Phase diagram Phase separation Eutectic point Alloy Saturation Supersaturation Serial dilution Dilution (equation) Apparent molar property Miscibility gap
Concentration and related quantities	Molar concentration Mass concentration Number concentration Volume concentration Normality Molality Mole fraction Mass fraction Isotopic abundance Mixing ratio Ternary plot
Solubility	Solubility equilibrium Total dissolved solids Solvation Solvation shell Enthalpy of solution Lattice energy Raoult's law Henry's law Solubility table (data) Solubility chart Miscibility
Solvent	(Category) Acid dissociation constant Protic solvent Polar aprotic solvent Inorganic nonaqueous solvent Solvation List of boiling and freezing information of solvents Partition coefficient Polarity Hydrophobe Hydrophile Lipophilic Amphiphile Lyonium ion Lyate ion