syms

Create symbolic scalar variables and functions, and matrix variables and functions

Syntax

syms var1 ... varN

syms var1 ... varN [n1 ... nM]

syms var1 ... varN n

syms ___ set

syms f(var1,...,varN)

syms f(var1,...,varN) [n1 ... nM]

syms f(var1,...,varN) n

syms var1 ... varN [nrow ncol] matrix

syms var1 ... varN n matrix

syms f(var1,...,varN) [nrow ncol] matrix

syms f(var1,...,varN) [nrow ncol] matrix keepargs

syms f(var1,...,varN) n matrix

syms f(var1,...,varN) n matrix keepargs

syms(symArray)

syms

S = syms

Description

syms var1 ... varN creates symbolic scalar variables var1 ... varN of type sym. Separate the different variables with spaces. This syntax clears all previous definitions of var1 ... varN.

syms var1 ... varN [n1 ... nM] creates arrays of symbolic scalar variables var1 ... varN, where each array has the size n1-by-...-by-nM and contains automatically generated symbolic scalar variables as its elements. For example, syms a [1 3] creates the symbolic array a = [a1 a2 a3] and the symbolic scalar variables a1, a2, and a3 in the MATLAB^® workspace. For multidimensional arrays, these elements have the prefix a followed by the element’s index using _ as a delimiter, such as a1_3_2.

syms var1 ... varN n creates n-by-n matrices of symbolic scalar variables filled with automatically generated elements.

syms ___ set sets the assumption that the created symbolic scalar variables belong to set, and clears other assumptions. Here, set can be real, positive, integer, or rational. You can also combine multiple assumptions using spaces. For example, syms x positive rational creates a symbolic scalar variable x with a positive rational value. Use this option in addition to any of the input argument combinations in previous syntaxes.

syms f(var1,...,varN) creates the symbolic function f of type symfun and the symbolic scalar variables var1,...,varN of type sym, which represent the input arguments of f. This syntax clears all previous definitions of var1,...,varN including symbolic assumptions. The evaluated symbolic function f(var1,...,varN) is of type sym.

syms f(var1,...,varN) [n1 ... nM] creates an n1-by-...-by-nM symbolic array with automatically generated symbolic functions as its elements. This syntax also generates the symbolic scalar variables var1,...,varN that represent the input arguments of f. For example, syms f(x) [1 2] creates the symbolic array f(x) = [f1(x) f2(x)], the symbolic functions f1 and f2, and the symbolic scalar variable x in the MATLAB workspace. For multidimensional arrays, these elements have the prefix f followed by the element’s index using _ as a delimiter, such as f1_3_2.

syms f(var1,...,varN) n creates an n-by-n matrix of symbolic functions filled with automatically generated elements.

syms var1 ... varN [nrow ncol] matrix creates symbolic matrix variables var1 ... varN of type symmatrix, where each symbolic matrix variable has the size nrow-by-ncol.

syms var1 ... varN n matrix creates n-by-n symbolic matrix variables.

syms f(var1,...,varN) [nrow ncol] matrix creates the symbolic matrix function f of type symfunmatrix and the symbolic scalar variables var1,...,varN of type sym. The evaluated symbolic matrix function f(var1,...,varN) is of type symmatrix and has the size nrow-by-ncol. This syntax clears all previous definitions of var1,...,varN including symbolic assumptions.

syms f(var1,...,varN) [nrow ncol] matrix keepargs keeps existing definitions of var1,...,varN in the workspace. If any of the variables var1,...,varN does not exist in the workspace, then this syntax creates them as symbolic scalar variables of type sym. The size of the evaluated symbolic matrix function f(var1,...,varN) is nrow-by-ncol.

syms f(var1,...,varN) n matrix creates a square symbolic matrix function, where the evaluated symbolic matrix function f(var1,...,varN) has the size n-by-n. This syntax clears all previous definitions of var1,...,varN including symbolic assumptions.

syms f(var1,...,varN) n matrix keepargs keeps existing definitions of var1,...,varN in the workspace. If any of the variables var1,...,varN does not exist in the workspace, then this syntax creates them as symbolic scalar variables of type sym.

syms(symArray) creates the symbolic scalar variables and functions contained in symArray, where symArray is either a vector of symbolic scalar variables or a cell array of symbolic scalar variables and functions. This syntax clears all previous definitions of variables specified in symArray including symbolic assumptions. Use this syntax only when such an array is returned by another function, such as solve or symReadSSCVariables.

syms lists the names of all symbolic scalar variables, functions, and arrays in the MATLAB workspace.

S = syms returns a cell array of the names of all symbolic scalar variables, functions, and arrays.

Examples

Create Symbolic Scalar Variables

Create symbolic scalar variables x and y.

syms x y
x

x = $$x$$

y

y = $$y$$

Create Vector of Symbolic Scalar Variables

Create a 1-by-4 vector of symbolic scalar variables a with the automatically generated elements $$a_1,\dots ,a_4$$. This command also creates the symbolic scalar variables a1, ..., a4 in the MATLAB workspace.

syms a [1 4]
a

a = $$\left(\begin{array}{cccc}{a}_1& a_2& a_3& a_4\end{array}\right)$$

whos

  Name      Size            Bytes  Class    Attributes

  a         1x4                 8  sym                
  a1        1x1                 8  sym                
  a2        1x1                 8  sym                
  a3        1x1                 8  sym                
  a4        1x1                 8  sym                

You can change the naming format of the generated elements by using a format character vector. Declare the symbolic scalar variables by enclosing each variable name in single quotes. syms replaces %d in the format character vector with the index of the element to generate the element names.

syms 'p_a%d' 'p_b%d' [1 4]
p_a

p_a = $$\left(\begin{array}{cccc}{p}_{\mathrm{a1}}& p_{\mathrm{a2}}& p_{\mathrm{a3}}& p_{\mathrm{a4}}\end{array}\right)$$

p_b

p_b = $$\left(\begin{array}{cccc}{p}_{\mathrm{b1}}& p_{\mathrm{b2}}& p_{\mathrm{b3}}& p_{\mathrm{b4}}\end{array}\right)$$

Create Matrix of Symbolic Scalar Variables

Create a 3-by-4 matrix of symbolic scalar variables with automatically generated elements. The elements are of the form $$A_{i,j}$$, which generates the symbolic matrix variables $$A_{1,1},\dots ,A_{3,4}$$.

syms A [3 4]
A

A = 
$$\left(\begin{array}{cccc}{A}_{1,1}& A_{1,2}& A_{1,3}& A_{1,4}\\ A_{2,1}& A_{2,2}& A_{2,3}& A_{2,4}\\ A_{3,1}& A_{3,2}& A_{3,3}& A_{3,4}\end{array}\right)$$

Manage Assumptions for Symbolic Scalar Variables

Create symbolic scalar variables x and y, and assume that they are integers.

syms x y integer

Create another scalar variable z, and assume that it has a positive rational value.

syms z positive rational

Check assumptions.

assumptions

ans = $$\left(\begin{array}{cccc}x\in \mathbb{Z}& y\in \mathbb{Z}& z\in \mathbb{Q}& 0<z\end{array}\right)$$

Alternatively, check assumptions on each variable. For example, check assumptions set on the variable x.

assumptions(x)

ans = $$x\in \mathbb{Z}$$

Clear assumptions on x, y, and z.

assume([x y z],'clear')
assumptions

 
ans =
 
Empty sym: 1-by-0
 

Create a 1-by-3 symbolic array a, and assume that the array elements have real values.

syms a [1 3] real
assumptions

ans = $$\left(\begin{array}{ccc}{a}_1\in \mathbb{R}& a_2\in \mathbb{R}& a_3\in \mathbb{R}\end{array}\right)$$

Create and Evaluate Symbolic Functions

Create symbolic functions with one and two arguments.

syms s(t) f(x,y)

Both s and f are abstract symbolic functions. They do not have symbolic expressions assigned to them, so the bodies of these functions are s(t) and f(x,y), respectively.

Specify a formula for f.

f(x,y) = x + 2*y

f(x, y) = $$x+2\hspace{0.17em}y$$

Compute the function value at the point x = 1 and y = 2.

f(1,2)

ans = $$5$$

Create and Evaluate Symbolic Functions with Matrices as Formulas

Create a symbolic function and specify its formula by using a matrix of symbolic scalar variables.

syms x
M = [x x^3; x^2 x^4];
f(x) = M

f(x) = 
$$\left(\begin{array}{cc}x& x^3\\ x^2& x^4\end{array}\right)$$

Compute the function value at the point x = 2.

f(2)

ans = 
$$\left(\begin{array}{cc}2& 8\\ 4& 16\end{array}\right)$$

Compute the value of this function for x = [1 2 3; 4 5 6]. The result is a cell array of symbolic matrices.

xVal = [1 2 3; 4 5 6];
y = f(xVal)

y=2×2 cell array
    {2x3 sym}    {2x3 sym}
    {2x3 sym}    {2x3 sym}

Access the contents of a cell in the cell array by using braces.

y{1}

ans = 
$$\left(\begin{array}{ccc}1& 2& 3\\ 4& 5& 6\end{array}\right)$$

Create and Evaluate Symbolic Matrices as Functions of Two Variables

Create a 2-by-2 symbolic matrix with automatically generated symbolic functions as its elements.

syms f(x,y) 2
f

f(x, y) = 
$$\left(\begin{array}{cc}{f}_{1,1}\left(x,y\right)& f_{1,2}\left(x,y\right)\\ f_{2,1}\left(x,y\right)& f_{2,2}\left(x,y\right)\end{array}\right)$$

Assign symbolic expressions to the symbolic functions f1_1(x,y) and f2_2(x,y). These functions are displayed as $$f_{1,1}(x,y)$$ and $$f_{2,2}(x,y)$$ in the Live Editor. When you assign these expressions, the symbolic matrix f still contains the initial symbolic functions in its elements.

f1_1(x,y) = 2*x;
f2_2(x,y) = x - y;
f

f(x, y) = 
$$\left(\begin{array}{cc}{f}_{1,1}\left(x,y\right)& f_{1,2}\left(x,y\right)\\ f_{2,1}\left(x,y\right)& f_{2,2}\left(x,y\right)\end{array}\right)$$

Substitute the expressions assigned to f1_1(x,y) and f2_2(x,y) by using the subs function.

A = subs(f)

A(x, y) = 
$$\left(\begin{array}{cc}2\hspace{0.17em}x& f_{1,2}\left(x,y\right)\\ f_{2,1}\left(x,y\right)& x-y\end{array}\right)$$

Evaluate the value of the symbolic matrix A, which contains the substituted expressions, at x = 2 and y = 3.

A(2,3)

ans = 
$$\left(\begin{array}{cc}4& f_{1,2}\left(2,3\right)\\ f_{2,1}\left(2,3\right)& -1\end{array}\right)$$

Create Symbolic Matrix Variables

Create two symbolic matrix variables with size 2-by-3. Nonscalar symbolic matrix variables are displayed as bold characters in the Live Editor and Command Window.

syms A B [2 3] matrix
A

A = $$A$$

B

B = $$B$$

Add the two matrices. The result is represented by the matrix notation $$\text{A}+\text{B}$$.

X = A + B

X = $$A+B$$

The data type of X is symmatrix.

class(X)

ans = 
'symmatrix'

Convert the symbolic matrix variable X to a matrix of symbolic scalar variables Y. The result is denoted by the sum of the matrix components.

Y = symmatrix2sym(X)

Y = 
$$\left(\begin{array}{ccc}{A}_{1,1}+B_{1,1}& A_{1,2}+B_{1,2}& A_{1,3}+B_{1,3}\\ A_{2,1}+B_{2,1}& A_{2,2}+B_{2,2}& A_{2,3}+B_{2,3}\end{array}\right)$$

The data type of Y is sym.

class(Y)

ans = 
'sym'

Show that the converted result in Y is equal to the sum of two matrices of symbolic scalar variables.

syms A B [2 3]
Y2 = A + B

Y2 = 
$$\left(\begin{array}{ccc}{A}_{1,1}+B_{1,1}& A_{1,2}+B_{1,2}& A_{1,3}+B_{1,3}\\ A_{2,1}+B_{2,1}& A_{2,2}+B_{2,2}& A_{2,3}+B_{2,3}\end{array}\right)$$

isequal(Y,Y2)

ans = logical
   1

Commutation Relation of Symbolic Matrix Variables

Symbolic matrix variables represent matrices, vectors, and scalars in compact matrix notation. When representing nonscalars, these variables are noncommutative. When mathematical formulas involve matrices and vectors, writing them using symbolic matrix variables is more concise and clear than writing them componentwise.

Create two symbolic matrix variables.

syms A B [2 2] matrix

Check the commutation relation for multiplication between two symbolic matrix variables.

A*B - B*A

ans = $$A\hspace{0.17em}B-B\hspace{0.17em}A$$

isequal(A*B,B*A)

ans = logical
   0

Check the commutation relation for addition between two symbolic matrix variables.

isequal(A+B,B+A)

ans = logical
   1

Find Hessian Matrix

Create 3-by-3 and 3-by-1 symbolic matrix variables.

syms A 3 matrix
syms X [3 1] matrix

Find the Hessian matrix of $${\text{X}}^T\text{A}\text{X}$$. Derived equations involving symbolic matrix variables are displayed in typeset as they would be in textbooks.

f = X.'*A*X

f = $$X^{\mathrm{T}}\hspace{0.17em}A\hspace{0.17em}X$$

H = diff(f,X,X.')

H = $$A^{\mathrm{T}}+A$$

Evaluate Function of Vector and Scalar

Evaluate the function $\mathit{v}\left(\mathit{r},\mathit{t}\right)=\frac{\Vert \mathit{r}\Vert }{\mathit{t}}$, where $\mathit{r}$ is a 1-by-3 vector and $\mathit{t}$ is a scalar.

Create $\mathit{r}$ as a symbolic matrix variable and $\mathit{t}$ as a symbolic scalar variable. Create $\mathit{v}\left(\mathit{r},\mathit{t}\right)$ as a symbolic matrix function and keep existing definitions of $\mathit{r}$ and $\mathit{t}$ in the workspace.

syms r [1 3] matrix
syms t
syms v(r,t) [1 1] matrix keepargs

Assign the formula of $\mathit{v}\left(\mathit{r},\mathit{t}\right)$.

v(r,t) = norm(r)/t

v(r, t) = $${\Vert r\Vert }_2\hspace{0.17em}{t}^{-1}$$

Evaluate the function for the vector value $\mathit{r}=\left(1,2,2\right)$ and the scalar value $\mathit{t}=3$.

vEval = v([1 2 2],3)

vEval = 
$$\begin{array}{l}\frac{1}{3}\hspace{0.17em}{\Vert {\Sigma }_1\Vert }_2\\ \\ \mathrm{where}\\ \\ \mathrm{ }{\Sigma }_1=\left(\begin{array}{ccc}1& 2& 2\end{array}\right)\end{array}$$

Convert the evaluated function from the symmatrix data type to the sym data type.

vSym = symmatrix2sym(vEval)

vSym = $$1$$

Evaluate Function of Matrix

Evaluate the function $\mathit{f}\left(\mathit{A}\right)={\mathit{A}}^2-3\mathit{A}+2\mathit{I}$, where $\mathit{A}$ is a 2-by-2 matrix and $\mathit{I}$ is a 2-by-2 identity matrix.

Create $\mathit{A}$ as a symbolic matrix variable. Create $\mathit{f}\left(\mathit{A}\right)$ as a symbolic matrix function and keep the existing definition of $\mathit{A}$ in the workspace.

syms A 2 matrix
syms f(A) 2 matrix keepargs

Assign the polynomial expression of $\mathit{f}\left(\mathit{A}\right)$.

f(A) = A*A - 3*A + 2*eye(2)

f(A) = $$2\hspace{0.17em}{\mathrm{I}}_2-3\hspace{0.17em}A+A^2$$

Evaluate the function for the matrix value $\mathit{A}=\left[\begin{array}{cc}1& 2\\ -2& -1\end{array}\right]$.

fEval = f([1 2; -2 -1])

fEval = 
$$\begin{array}{l}-3\hspace{0.17em}{\Sigma }_1+{{\Sigma }_1}^2+2\hspace{0.17em}{\mathrm{I}}_2\\ \\ \mathrm{where}\\ \\ \mathrm{ }{\Sigma }_1=\left(\begin{array}{cc}1& 2\\ -2& -1\end{array}\right)\end{array}$$

Convert the evaluated function from the symmatrix data type to the sym data type.

fSym = symmatrix2sym(fEval)

fSym = 
$$\left(\begin{array}{cc}-4& -6\\ 6& 2\end{array}\right)$$

Create Symbolic Objects from Returned Symbolic Array

Certain functions, such as solve and symReadSSCVariables, can return a vector of symbolic scalar variables or a cell array of symbolic scalar variables and functions. These variables or functions do not automatically appear in the MATLAB workspace. Create these variables or functions from the vector or cell array by using syms.

Solve the equation sin(x) == 1 by using solve. The parameter k in the solution does not appear in the MATLAB workspace.

syms x
eqn = sin(x) == 1;
[sol,parameter,condition] = solve(eqn,x,'ReturnConditions',true);
parameter

parameter = $$k$$

Create the parameter k by using syms. The parameter k now appears in the MATLAB workspace.

syms(parameter)

Similarly, use syms to create the symbolic objects contained in a vector or cell array. Examples of functions that return a cell array of symbolic objects are symReadSSCVariables and symReadSSCParameters.

List All Symbolic Scalar Variables, Functions, and Arrays

Create some symbolic scalar variables, functions, and arrays.

syms a f(x)
syms A [2 2]

Display a list of all symbolic scalar variables, functions, and arrays that currently exist in the MATLAB workspace by using syms.

syms

Your symbolic variables are:

A     A1_1  A1_2  A2_1  A2_2  a     f     x                                   

Instead of displaying a list, return a cell array by providing an output to syms.

S = syms

S = 8x1 cell
    {'A'   }
    {'A1_1'}
    {'A1_2'}
    {'A2_1'}
    {'A2_2'}
    {'a'   }
    {'f'   }
    {'x'   }

Delete All Symbolic Scalar Variables, Functions, and Arrays

Create several symbolic objects.

syms a b c f(x)

Return all symbolic objects as a cell array by using the syms function. Use the cellfun function to delete all symbolic objects in the cell array symObj.

symObj = syms;
cellfun(@clear,symObj)

Check that you deleted all symbolic objects by calling syms. The output is empty, meaning no symbolic objects exist in the MATLAB workspace.

syms

Input Arguments

var1 ... varN — Symbolic scalar variables, matrices, arrays, or matrix variables

valid variable names separated by spaces

Symbolic scalar variables, matrices, arrays, or matrix variables, specified as valid variable names separated by spaces. That is, each variable name must begin with a letter and can contain only alphanumeric characters and underscores. To verify that a variable name is valid, use isvarname.

Example: x y123 z_1

[n1 ... nM] — Dimensions of vector, matrix, or array of symbolic scalar variables

vector of nonnegative integers

Dimensions of vector, matrix, or array of symbolic scalar variables, specified as a vector of nonnegative integers.

Example: [2 3], [2,3]

n — Dimensions of square matrix

nonnegative scalar integer

Dimensions of the square matrix, specified as a nonnegative scalar integer. For example, syms x 3 matrix creates a square 3-by-3 symbolic matrix variable.

Example: 3

set — Assumptions on symbolic scalar variables

real | positive | integer | rational

Assumptions on symbolic scalar variables, specified as real, positive, integer, or rational.

You can combine multiple assumptions using spaces. For example, syms x positive rational creates a symbolic scalar variable x with a positive rational value.

Example: rational

f(var1,...,varN) — Symbolic function or matrix function with its input arguments

function and variable names with parentheses

Symbolic function or matrix function with its input arguments, specified as function and variable names with parentheses. The function name f and the variable names var1...varN must be valid variable names. That is, they must begin with a letter and can contain only alphanumeric characters and underscores. To verify that a variable name is valid, use isvarname.

Example: F(r,t), f(x,y)

[nrow ncol] — Dimensions of symbolic matrix variables or functions

vector of nonnegative integers

Dimensions of symbolic matrix variables or functions, specified as a vector of nonnegative integers.

Example: [2 3], [2,3]

symArray — Symbolic scalar variables and functions to create

vector of symbolic scalar variables | cell array of symbolic scalar variables and functions

Symbolic scalar variables and functions to create, specified as a vector of symbolic scalar variables or a cell array of symbolic scalar variables and functions. Such a vector or array is typically the output of another function, such as solve or symReadSSCVariables.

Output Arguments

S — Names of all symbolic scalar variables, functions, and arrays

cell array of character vectors

Names of all symbolic scalar variables, functions, and arrays in the MATLAB workspace, returned as a cell array of character vectors. Symbolic matrix variables and functions are not included in this cell array.

Limitations

• Differentiation functions, such as divergence, curl, jacobian, and laplacian, currently do not accept symbolic matrix variables and symbolic matrix functions as input. To evaluate differentiation with respect to vectors and matrices, use the diff function instead.

• To show all the functions in Symbolic Math Toolbox™ that accept symbolic matrix variables and symbolic matrix functions as input, use the command methods symmatrix and methods symfunmatrix.

Tips

• You can create multiple symbolic objects in one call. For example, syms f(x) g(t) y creates two symbolic functions (f and g) and three symbolic scalar variables (x, t, and y).

• syms is a shortcut for sym, symfun, symmatrix, and symfunmatrix. This shortcut lets you create several symbolic objects with one function call. For example, you can use sym and create each symbolic scalar variable separately. However, when you create variables using sym, any existing assumptions on the created variables are retained. You can also use symfun to create symbolic functions.

• In functions and scripts, do not use syms to create symbolic scalar variables with the same names as MATLAB functions. For these names, MATLAB does not create symbolic scalar variables, but keeps the names assigned to the MATLAB functions. If you want to create a symbolic scalar variable with the same name as a MATLAB function inside a function or a script, use sym instead. For example, use alpha = sym('alpha').

• Avoid using syms within functions, because it generates variables without direct output assignment. Using syms within functions can create side effects and other unexpected behaviors. Instead, use sym with left-side output assignment within functions, such as t = sym('t'). For more details, see Choose syms or sym Function.

• These variable names are invalid with syms: integer, real, rational, positive, and clear. To create symbolic scalar variables with these names, use sym. For example, real = sym('real').

• clear x does not clear the symbolic object of its assumptions, such as real, positive, or any assumptions set by assume, sym, or syms. To remove assumptions, use one of these options:

  • syms x or syms f(x) clears all assumptions from x.

  • assume(x,'clear') clears all assumptions from x.

  • clear all clears all objects in the MATLAB workspace and resets the symbolic engine.

  • assume and assumeAlso provide more flexibility for setting assumptions on symbolic scalar variables.

• When you replace one or more elements of a numeric vector or matrix with a symbolic number, MATLAB converts that number to a double-precision number.

  A = eye(3);
  A(1,1) = sym(pi)

  A =
      3.1416         0         0
           0    1.0000         0
           0         0    1.0000

  You cannot replace elements of a numeric vector or matrix with a symbolic scalar variable, expression, or function because these elements cannot be converted to double-precision numbers. For example, syms a; A(1,1) = a throws an error.

• When evaluating a symbolic matrix function, you must substitute values that have the same size as the defined input arguments. For example, see Evaluate Function of Vector and Scalar. For comparison, this example returns an error:

  syms X [2 2] matrix
  syms f(X) [1 1] matrix keepargs
  f(ones(4))
  

Version History

Introduced before R2006a

R2022a: Create symbolic matrix functions of type symfunmatrix

Use these syntaxes to create symbolic matrix functions of type symfunmatrix:

syms f(var1,...,varN) [nrow ncol] matrix
syms f(var1,...,varN) [nrow ncol] matrix keepargs
syms f(var1,...,varN) n matrix
syms f(var1,...,varN) n matrix keepargs

Symbolic matrix functions allow you to represent parameter-dependent functions that operate on scalars, vectors, and matrices in compact matrix notation. Using them, you can represent matrix- and vector-based expressions in Symbolic Math Toolbox and perform linear algebra calculations. For example, see Evaluate Function of Vector and Scalar and Evaluate Function of Matrix.

R2021b: syms clears assumptions on symbolic variables when creating symbolic functions

Behavior changed in R2021b

When creating symbolic functions with symbolic variables as input arguments, syms clears all previously set assumptions on the symbolic variables. For example:

syms x y z real
syms t real positive
assumptions

ans =
 
[in(x, 'real'), in(y, 'real'), in(z, 'real'), 0 < t]

syms f(x,y,z,t)
assumptions

ans =

Empty sym: 1-by-0

To set assumptions on the input arguments of symbolic functions, create the symbolic functions first, and then set the assumptions on the symbolic variables (or recreate the symbolic variables with set assumptions). For example:

syms g(x,y,z,t)
assume(x,'real')
assume(t,'positive')
assumptions

ans =
 
[in(x, 'real'), 0 < t]

syms y z real
assumptions

ans =
 
[in(x, 'real'), in(y, 'real'), in(z, 'real'), 0 < t]

R2021a: Create symbolic matrix variables of type symmatrix

Use these syntaxes to create symbolic matrix variables of type symmatrix:

syms var1 ... varN [nrow ncol] matrix
syms var1 ... varN n matrix

Symbolic matrix variables offer a concise typeset display and show mathematical formulas with more clarity. Using them, you can represent matrix- and vector-based expressions in Symbolic Math Toolbox and perform linear algebra calculations. For example, see Commutation Relation of Symbolic Matrix Variables and Find Hessian Matrix.

R2018b: syms clears assumptions on symbolic variables

Behavior changed in R2018b

syms now clears any assumptions on the symbolic scalar variables that it creates. For example,

syms x real
assume(x <= 5);
assumptions(x)

ans =
 
x <= 5

syms x
assumptions(x)

ans =
 
Empty sym: 1-by-0

To retain existing assumptions on a cleared variable, recreate it using sym instead of syms. For example,

syms x real
assume(x <= 5);
clear x
x = sym('x');
assumptions(x)

ans =
 
x <= 5

R2018b: syms will no longer support clear option

Warns starting in R2018b

The syntaxes syms x clear and the equivalent syms('x','clear') now issue a warning that they will be removed in a future release.

In previous releases, both syntaxes cleared all assumptions applied to x. To update your code, call syms and specify the symbolic scalar variables whose assumptions you want to clear. For example, syms x clears all assumptions applied to x.